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Journals On Machine Learning

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Computer Science scholars are working in various field of research such as machine learning, cloud computing, networking, communication, etc. Out of those hot topic machine learning is very famous and innovative field of research for young scholars. Hence publication of research work done by budding researcher need Journals on Machine Learning where most of papers are published in this field. As number of international journals are available for publication which accept paper from filed of engineering, so filtration of specific machine learning journal is done under following points:

Research / Survey Paper Submission

Paper Publication Charges

  1. Reviewer Team Work and there field of Education
  2. Paper Publication Title Specify Machine learning title
  3. Submission form Field of Acceptance

Hence above points help authors to filter international journal before submission of there hard research work. Some of machine learning field of work is accept by this journal IJSRET which include:

  1. Neural Network (Feed Forward, Error Back Propagation, Convolution, Spiking, etc)
  2. Regression (Logistic, Linear, Binary, etc.)
  3. Decision Tree (Random Forest, Spanning, Frequent Pattern Tree)
  4. Support Vector Machine (Linear, Non-Linear)
  5. Naïve Bayes Classifier
  6. Reinforcement Learning

This journal provide publication or accept paper from all above field of research, it is suggested to all scholars who are looking for publication that always consult your guide or mentor before submission of paper in any international Journals on machine learning. Submission of paper is done by preparing the paper having important points which include Abstract, Introduction, Related Work, Methodology, Experimental Setup, Results Section, Conclusion, References. So paper having all points of interest are more liable to get publish. Authors should take advice of the reviewer as well where points are mention to improve quality of work with more details. Scholars who have just start there work in machine learning need to publish their paper in low publication cost journals as hitting the high quality journal for young researcher is tough and frustrating. This small publication improve confidence and validity of researcher as well.

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IJSRET Volume 6 Issue 2, Mar-Apr-2020

Uncategorized

The New Technology of Genetic Engineering-CRISPR
Authors:- UG Student Rohan Alag

Abstract:- In recent times, the research to edit the genome of different organisms has led to marvelous discoveries. In the late 80s, scientists discovered palindromic sequences in the DNA which has since been used as the base for recombinant DNA technology to help create lab synthesized enzymes and medicines which have slingshot the pharmaceutical field into a whole new world, but now with work been done on the new gene-editing technologies like CRISPR. This is a whole new way of looking at the DNA. Something that we could add a piece to can now be edited to such an extent that we can choose what each gene does.

 

Oil Spills Impact using Image Processing
Authors:- Lavanya P, Priya Dharshini S, Gopinathan B

Abstract:- Marine life may be a huge ecosystem that faces many threats, the most important one being pollution. And one among the main contamination sources are oil spills. Oil spills are often devastating, especially when a large area of the ocean/sea is covered with it. The oil that gets leaked into the ocean pollutes the water and prevents algae from getting sunlight and fish from getting the oxygen trapped in water. The oil also gets trapped within the wings of birds that feed on the fish, making it difficult for them to fly. In short, oil can pose an excellent threat to ocean life if not taken care of. Oil spill incidents occurred outside the Kamarajar Port in Ennore near Chennai in Tamil Nadu, India. The spill occurred on 28 January 2017 when an outbound empty tanker BW Maple collided with an inbound loaded oil tanker Dawn Kanchipuram at 04:00 local time.Image processing may be a rapidly growing technology, which has applications in computer vision also as remote sensing. Identifying oil spill impact with Machine Learning Random forest classifier, K-means algorithm and WebGnome tool using Landsat8 dataset. We aim to broaden its range of applications in controlling global pollution.

Credit Card Fraud Detection Using Adaboost
Authors:- B.Nithin, Rohit Ravula, Shaik Gangina Sulthana

Abstract:- Fraud is cheating or wrongful or a culprit activity, its main aim is focus financial or personal sign. In this proposed system we uses two mechanisms namely, (i) fraud prevention and (ii) fraud detection, for avoiding loss from fraud, that detecting details from fraud. In the first fraud prevention mechanism. Is most defensive and proactive strategy, it prevents the misrepresentation from starting. At that point, the second mechanism fraud detection is guessing the fraudster. This component is required for a fake exchange, but it guesses the fraudster, in the time exchange endeavored by fraudster. Credit card fraud is a serious problem in financial services. Billions of dollars are lost due to credit card fraud every year. There is a lack of research studies on analyzing real-world credit card data owing to confidentiality issues. In this project, machine learning algorithm is used to detect credit card fraud. Standard models are first used. Then, hybrid methods which use AdaBoost . To evaluate the model efficiency, a publicly available credit card data set is used. Then, a real-world credit card data set from a financial institution is analyzed. In addition, noise is added to the data samples to further assess the robustness of the algorithms. The experimental results positively indicate that Boosting Algorithms achieves good accuracy rates in detecting fraud cases in credit cards.

Lpg Leakage Detection and Alaraming System
Authors:- Priyanka Raut, Surbhi Bondre, Vrushab Motghare, Aishwarya Kale , Ankita Girde

Abstract:- Home fires have been taken place frequently and the threat to human lives and properties is growing in recent years. Liquid petroleum gas (LPG) is very inflammable and may burn even at a long way from the source of leakage. Most fire accident are caused due to poor quality rubber tube or the regulator isn’t turned off when not in use. Therefore, developing the gas leakage alert system is extremely essential. Hence, this system presents gas leakage alert system to detect gas leakage and to alarm the people onboard.

A Review of Speed Flow Density Study of Two Different Road Indian Road and Their Comparison
Authors:-M.Tech. Scholar Pranjali Goyal, Asst. Prof. Akshay Gulghane

Abstract:- In this work speed -flow-density study of an Indian road has been conducted. Data has been collected using video camera and later decoded in computer. This data is very essential to estimate capacity of an Indian road. Since the collected data is of a narrow density domain, capacity prediction from this data is not promising. One of the data is collected in mhow pithampur and another data is from indore mhow .Both the data’s were compared statistically. For both the data’s Z-value is calculated and it is compared with Z-critical to define whether both the data’s are same or different.

A Survey on Broad Band Patch Antenna Design by using Different Techniques
Authors:- M.Tech. Scholar Manohar Kumar, Suresh Gawande

Abstract:- This article presents give an general idea of the microstrip patch antenna design by using different techniques for broad the bandwidth of an antenna. Generally the microstrip patch antenna surface is trace of copper on both sides of the substrate. The one side of the patch antenna is a radiator the other side of the antenna is ground work as a reflector. As per survey the researcher are work on the different feeding technique like wise it may coaxial feeding, microstrip feeding, aperture feeding and proximity feeding. Most of the researcher work on coaxial feeding it is easy to used and complexity is less as compared to other feeding. The microstrip patch antenna is used many researcher due to their low weight , easily available, easy to design any type of design either both sides or one side and easy to fabrication and testing. The main disadvantages of microstrip patch antenna is narrow bandwidth due to this they are unsuitable for wireless communication system. From last few decades the researchers are continuously working on microstrip patch antenna how to improve the bandwidth and different parameter of a microstrip patch antenna. The current work is focus on wearable, reconfiguration, 5G applications. This survey give the introduction of the microstrip patch antenna and give the band width enhancement technique by different researchers.

A Review on CFD Analysis of Tube Receiver for Parabolic Trough Solar Collector with Pin Fin Arrays Towards CSP Technologie
Authors:- M.Tech. Scholar Sarabjeet Singh, Prof. Kashiram Kadwe

Abstract:- Solar thermal systems are advantageous since it is easier to store heat than electricity on a large scale. Investigation on the heat flux distribution on the absorber tube is critical to get detailed knowledge on how to improve efficiency with the aim to enhance the overall heat transfer performance. In this study Tube receiver with pin fin arrays inserting was introduced as the absorber tube of parabolic trough receiver to increase the overall heat transfer performance of tube receiver for parabolic trough solar collector system. The Monte Carlo ray tracing method (MCRT) coupled with Finite Volume Method (FVM) was adopted to investigate the heat transfer performance and flow characteristics of tube receiver for parabolic trough solar collector system.

Design Analysis and Optimization of (Direct Injection) Diesel Engine
Authors:- Dharamveer Singh, Er. Rohtash Sharma

Abstract:- This paper focuses on the design, Analysis and optimization of piston which is stronger, lighter with minimum cost and with less time. Since the design and weight of the piston influence the engine performance. Study Design: Analysis of the stress distribution in the various parts of the piston to know the stresses due to the gas pressure and thermal variations using with Ansys. The Piston of an engine is designed, analyzed and optimized by using graphics software. The CATIA V5R16, CAD software for performing the design phase and ANSYS 14.0 for analysis and optimization phases are used. Results indicate that the volume of the piston is reduced by 24%, the thickness of barrel is reduced by 31%, width of other ring lands of the piston is reduced by 25%, Von misses stress is increased by 16% and Deflection is increased after optimization. But all the parameters are well with in design consideration.

Investigations on Sliding Contact Characteristic of FRP Composite Bearing using Artificial Neural Networks
Authors:- Shailesh Rajoria, Assistant Professor Shantanu Roy

Abstract:-In rotary machines vibration is an inherent phenomenon which has the tendency to affect required performance. Amongst the different parameters that affect vibration, selection of appropriate bearing is the most critical component. In this work the effect of different types of bearing on vibration in rotary machines is studied and the magnitude of vibration produced by use of different set of bearings under the same condition of loads and rotational speeds were investigated. Bearings considered in this work were ball bearing, tapered roller bearing, thrust bearing and shaft material considered is of mild steel. From experimental result, it was noted that tapered roller bearing gives the highest amplitude of vibration among all the three bearings whereas the ball bearing gives least amplitude under similar operating conditions.

360 Degree Wheel Rotation Vehicle
Authors:- Mohammad Ubaid Ur Rahmaan, Mohd Jaber, Abdul Rahman, Asst.Prof. Attalique Rabbani

Abstract:- Main function of car is to move from one place to another place. We find that every member of the family have their own vehicle. Car provides us lot of benefits like protect us from sun heat in summer and from rain in monsoon. Travelling is inevitable part of person’s life Car is the most common thing in today’s world. Ha ving a car is the status in the society but Having a costly car is a royal status in the society, with increase in number of vehicle people have to face traffic problems like parking, taking reverse etc. So here we have“DESIGNED a 360 DEGREE ROTATING CAR” for these above mentioned purposes. These problems can be efficiently reduce and eliminated by the use of this application we use. It operates in a clockwise and anticlockwise direction A primary objective of the present invention is to provide a simple, stable, easy control, smaller space needed and a more concise movement of car To better understand the present invention, detailed descriptions shall be given with the accompany drawings.

Optimisation of Helical Gear Power Transmission using Genetic and Pid Controller Hybrid Algorithm
Authors:- Manish Parmar, Assistant Professor Shantanu Roy

Abstract:- This Review Paper gives the information about Bending and Contact Stress Analysis of Helical Gear. Thus, this review paper mainly focus on the MATLAB, finite element methods and GA standards for computation of bending and contact stress on a root of helical gear. In this paper the bending stress and contact stress of the gear tooth are examined and are to be one of the main contributors for the failure of the gear in a gear set. Thus, the analysis of stresses has become popular as an area of research on gears to minimize or to reduce the failures and for optimal design of gears. Authors have use various Approaches and means to conclude their main objective of finding out the contact stresses and gear failure causes in static condition using Finite Element Analysis, GA Standards and MATLAB. This review paper contains theoretical, numerical and analytical methods for the helical gear pair analysis.

Enhancement using Adaboost Algorithm in Machine Learning to Predict ASD in Children
Authors:- Mary Stella. J, Dr. Shashi Kumar. D.R

Abstract:- Autism is a neurobehavioral disorder of development which is seen with social behavioral and interactive behavioral impairments in children. The perspective of detecting and predicting the ASD in the children is to diagnose and treat the children in early age which could be a life saving aspect in leading a normal life. Though different techniques have been studied it did not provide any beneficial conclusion in predicting traits on autism in children of small age groups. Different Data mining techniques and prediction model of ML techniques were explored to performance evaluation and accuracy validation. In our study, the required classification method of ASD diagnosis has been used with children of very early age. Our proposed paper compares many algorithms of machine learning along with AdaBoost algorithm. AdaBoost combines the weak classifiers to a strong classifier and achieves more accuracy finally.

Investigating The Potentials of Wood Charcoal, Groundnut Shell Charcoal and used Toner in Microbial Fuel Cell Electrode Power Generation
Authors:- Akuma Oji, Nwanro Godstime Chinkem

Abstract:- This research is on the potentials of wood, groundnut shell and toner charcoals are investigated to ascertain the best material for microbial cell electrodes. To investigate this, wood, groundnut shell and toner charcoal were used to produce electrodes after mixing each of them in cement in the ratio of 1:1. Agar concentration of 20g/500ml was mixed with 3.5g salt for the production of the Proton Exchange membrane. Voltage and current of the cells were measured three times daily using digital multi-meter and the average was recorded. After 20 days of study the result obtained showed that wood charcoal electrode in close circuit has maximum current, voltage, power and current density of 0.17mA, 0.15V, 2.2024mW/m2, and 14.683mA/m2 respectively. For groundnut shell charcoal the following results were obtained for close circuit- maximum current, voltage, power and current density were 0.07mA, 0.13V, 0.7859mW/m2, and 10.3644mA/m2 respectively, for toner charcoal the results are maximum current, voltage,power and current density 0.1mA, 0.11V, 0.7773mW/m2, and 7.7733mA/m2 respectively. For open circuit, maximum values of wood charcoal for current, voltage, power and current density were 0.017mA, 0.15V, 0.216mW/m2, and 1.445mA/m2respectively. Groundnut shell in open circuit gives the following result, 0.007mA, 0.14V, 0.0833mW/m2, and 0.595mA/m2 for maximum current, voltage, power and current density respectively, toner charcoal in open circuit gives 0.011mA, 0.013V, 0.1216mW/m2, and 1.1056mA/m2for maximum current, voltage, power and current density respectively. All result obtained from the experiment shows that wood charcoal base electrode has the highest potential among the tested materials, thus, would produce more power and has more efficiency than the other materials.

Elimination of Lower Order Harmonics in Multilevel Cascaded Inverters with Equal Dc Sources using Pso
Authors:- K.Meghana, K.Bharghavi, K.Nikhitha, Asst. Prof. Mr.Rathnaiah

Abstract:- This paper presents elimination of lower order harmonics in multilevel inverters withequal DC sources using PSO. To eliminate the selected lower order harmonics from the output voltage or current waveform of a cascaded multilevel inverter, appropriate switching angles were calculated and the power switching devices were switched accordingly. The switching angles were calculated from the non-linear equations derived from the Fourier series expansion of the output voltage of the inverter. A PSO algorithm was developed to solve the nonlinear equations. With the proposed approach, the required switching angles are efficiently computed using PSO to eliminate the lower order harmonics from the inverter voltage waveform for different modulation indices (ma).The PSO algorithm was developed in the Matlab environment, and the three phase multilevel cascaded inverter systems have been simulated using the PSIM software. The performance of the proposed method for a nine-level cascaded H-bridge inverter was evaluated based on simulation and experimental studies. Lower order harmonic up to the 11th order are eliminated.

Modeling of Physio chemical Parameterfor Poultry Wastewater Behavior in Dual Cell Microbial Fuel Unit with Biomass Electrode
Authors:- Akuma Oji, Otaraku Ipeghan Jonathan

Abstract:- This experimental research on the modeling of physiochemical parameter in microbial fuel cell involves physiochemical parameter with a multi- parameter water checker. The parameter analyzed were; Conductivity, Turbidity, Total suspended solid (TSS), Total dissolved solid (TDS) and salinity, standard methods. The raw poultry waste solution which serves as an electrolyte has values of COD 2052mg/l, BOD 493mg/l, pH 6.36, Conductivity 16.36 µs/cm, Turbidity 964 NTU, TSS 1100 mg/l, TDS 9260mg/l and salinity 9.6% as anode electrolyte. The result obtained after 28 days of operating the cell shows poultry waste physiochemical parameter reduction and that using R2 as bases, the model of the physiochemical parameters proposed showed polynomial relationship for all the biomasses apart from the electrode from sawdust that are showed Linear relationship for Salinity and same R2 (0.9877) for TSS and also for The best fit, for is for sawdust with exponential correlation with R2 value of 0.9815 for salinity. The research study has shown that Microbial Fuel Cell has a strong polynomial relationship correlation for different electrode produced of different biomass materials with poultry waste solution as electrolyte.

Efficient Multipath Routing with Multichannel in WSN Network
Authors:- M.Tech. Scholar Raghavendra Kumar, Assistant Professor Devkant Sen

Abstract:- In WSN due to the lack of resources of recharging or replacing of batteries will not be possible. The all nodes working in network is completely depend on the node energy in network by that the energy utilization is major issue in WSN. The efficiency of the network degrades and also responsible for the loss of packets. So routing in the sensor network is one of the important issue and many difficulties are faced during deployment of routing strategies.The dispute in sensor networks is that even if a host does not communicate on its own, it still normally forwards data and routing packets for others, which reduces its battery. Multi-path routing can avoid congestion and improve performance. In this technique the route is selected on the basis of higher energy capacity of nodes ,it means the multiple path are selected on the basis of higher battery capacity and the data ACK is received through the next alternative path that has next higher energy level but lower than the first preferred existing path in Grid WSN. The congestion is controlled by multipath routing. The proposed Enhanced AWMRP load balancing scheme is balance the load in network by selecting the path that has low mobility and higher energy value. The performance of proposed scheme is compare with the normal AWMRP and AWMRP with GECP (Group based Energy Conserving Protocol) routing protocol and provides the better outcome. Grid-based multi-path routing protocol intended to route packets fast, utilize and extend sensor nodes energy in addition to avoiding and handling network congestion when happens in the network.

Collaborative Decision for Wormhole Attack Prevention in WSN
Authors:- M.Tech. Scholar Rajani Kant Tiwari, Assistant Professor Devkant Sen

Abstract:- The dynamic network called WSN is very popular for short range communication between the mobile devices. This research is very useful in field of security to evaluate the network performance in case of attack and proposed previous security scheme. Due to the absence of centralized administration, security is the main issue in WSN and attackers are very easily modified the actual behavior and performance of network. The wormhole attack is creating the tunnel. In this attack two or more malicious colluding nodes create a higher-level virtual tunnel in the network, which is employed to transport packets between the tunnel endpoints. These tunnels emulate shorter links in the network and so act as benefit to unsuspecting network nodes which by default seek shorter routes. In this paper we proposed a scheme against wormhole attack. Worm hole attack is a type of attack that are work as to established path in between sender and receiver but if the sender has start data transmission then in that case the worm hole attacker has create a direct link, referred to as a wormhole tunnel between them and all the data pass through that tunnel. In this research we proposed Wormhole attack Intrusion Detection as well as prevention (IPS) Security Scheme against wormhole attack. For detection we identified the information of intermediate nodes and get attacker node information like node number, number of attacker and infected packets it means trustful communication among the nodes by that the higher successful data communication process rates may well possible. After that we prevent wormhole attack using broadcasting the particular identification (ID) of attacker by that no node in network replies of that request and secure the mobile ad-hoc network communication.

A Review Article of Higher Efficiency Solar and Thermal Hybrid Power Plant Based on Pi Controller
Authors:- M.Tech. Scholar Ayush Verma, Anil Kumar Kori

Abstract:- Now a day’s electricity is most needed facility for the human being. All the conventional energy resources are depleting day by day. So we have to shift from conventional to non-conventional energy resources. In this the combination of two energy resources is takes place i.e. PTC, wind and thermal energy. This process reviles the sustainable energy resources without damaging the nature. We can give uninterrupted power by using hybrid energy system. Basically this system involves the integration of two energy system that will give continuous power. Solar panels are used for converting solar energy and wind turbines are used for converting wind energy into electricity. This electrical power can utilize for various purpose. Generation of electricity will be takes place at affordable cost. This work deals with the generation of electricity by using two sources combine which leads to generate electricity with affordable cost without damaging the nature balance.

A Review Article of Hvdc Based Power Loss Reduction and Estimation of Power Transmission
Authors:- M.Tech.Scholar Prashant Sharma, Anil Kumar Kori

Abstract:- Line commuted converter user in HVDC transmission systems inject harmonics into their associated AC and DC systems. A conventional approach to filter these harmonics is to use passive filters on both AC and DC sides of the converter. Apart from their technical problems, harmonic filters constitute a considerable part of the volume and cost of present DC terminal stations. Another possible alternative of harmonic suppression is to increase the number of pulses of AC-DC converters by transformer phase-shifting techniques, but the resulting complicated circuitry together with its problems of insulation produce significant technical and economical disadvantages. This Paper presents an overview of classical HVDC transmission system. It also provides a brief historical development of the technology and state of art in the field of HVDC transmission system. Based on outcome of literature survey, broad research goals are identified.

Survey on Location Privacy in Participatory Sensing Applications
Authors:- Vaishnavi K, Vaishnavi D R, Srujana S K, Vaibhav Talreja, Asst.Prof. Nikshepa T, Asst. Prof.Surabhi K R, Asst.Prof. Lavanya D

Abstract:- Location Privacy is a major apprehension in participatory sensing applications. Here user can both give as well as retrieve valuable information. The major drawback in LBSs (Location Based Services) is the leakage of user’s locality. These applications collect detailed sensor data which compromise user privacy. To solve this problem existing solutions bring in trusted third party (Anonymizer) connecting the user and the Location Service Provider (LSP). In some situations the Anonymizer may compromise which leads to leakage of user information. To deal with this issue, in this paper we adopt an enhanced location privacy preserving system for the LBS atmosphere. The main advantages of our method includes: 1) user can raise queries with secured locations, 2) no need of fully trusted third parties.

Review of Image Search using Hybrid Techniques
Authors:- M. Tech. Scholar Sakina Bohra, Assistant Professor Prof. Lokesh Parashar

Abstract:- The big digital image databases are yielded by the widespread of smart devices along with the exponential growth of virtual societies. If not fused with efficient Content-Based Image Retrieval (CBIR) tools, these databases can be counter-productive. The introduction of promising CBIR systems had been witnessed last decade which promoted applications in various fields. In this editorial, ananalysis on state of the art content-based image retrieval which includes theoretical and empirical work, is propounded. This work comprises of publications that cover aspects of research relevant to CBIR area. That is to say, unsupervised and supervised education and combination techniques along with which the low-level image visual descriptors have been reported. Furthermore, challenges and applications that appeared to carry CBIR research have been discussed in this work.

Evolution of Javascript and its Frameworks
Authors:- Narpat Singh Rawat

Abstract:- The increasing popularity of JavaScript has led to a variety of frameworks that aim to help developers to address programming tasks. However, the number of JS Frameworks has risen rapidly to thousands and more [1].There was a period when the development of the web pages was very hectic job for the browsers, it was early 1990’s when the necessity of new browser programming language is feel which is completed by the Mocha language and renamed into LiveScript and finally it’s become JavaScript, although it is not linked to Java but the name enable JavaScript to get popularity in faster term. When the JavaScriptwidely accepted over worldwide the need of compatible code is needed for all the browsers at that is when first ever JavaScript framework comes into existence named DHTML in 2000 after that most widely used JavaScript library known jQuery comes into existence but developers community felt the need for a complete front-end framework to develop the complex web applications and that was fulfilled by the various new JavaScript based frameworks like – Angular JS, React, Vue JS and other backend like Node JS.

Recommendation System for Career Path using Data Mining Approaches
Authors:- Pratik Devidas Dusane, Nikita Vinayak Bhosale,Vaishnavi Avinash Avhad, Pratik Kailas Naikwade

Abstract:- Nowadays, students are often facing a problem to choose a career in their life. There are several factors that influenced the students while choosing their career path such as their personal aptitudes, educational achievement and their environment. After completing secondary and higher secondary education, students are normally starting to find a career path which may suit their skill and potential the best. However, many students made wrong decision on selecting their career due to the lack of experience, help and advice from friends and relatives, parents and lecturers, or career counseling. So, in order to tackle this situation we are developing such system which will help student to select their career path based on their interests.

Harness Design for Four Wheeler Vehicle using ECAD Tool
Authors:- Pranay A. Sonwane, Amar W. Gakhare, Akshay C. Ghube, Prof. Pravin M. Palkar Komal Tawale, Anjali Uikey

Abstract:-In today’s automotive industry, wire harness fields are employed to increase performance and reduce its manufacturing costs, but they are not successful in that field. We have designed inexpensive, less complex and low weight wire harnesses for HEV (Hybrid Electric Vehicle) to increase performance and reduce the cost of wire harnesses. In today’s wire harness are available for HEV but they are more economical and expensive so indirectly cost of HEV is increased.

Experimental Study of Wear Properties on Aluminum Silicon Alloy
Authors:- Pranay A. Sonwane, Amar W. Gakhare, Akshay C. Ghube, Prof. Pravin M. Palkar Komal Tawale, Anjali Uikey

Abstract:-At present there are many properties of Aluminum Silicon alloy which contain light weight less coefficient of thermal expansion and more weight ratio which is suitable for many industries in past decade it is more accepted in automobile industries as it is useful in cost saving and its Si alloy plays an important role in this study the wear behavior of Al-Si is being studied Aluminum of 86% weight with silicon of 14% of weight,Aluminum of 82% of weight with silicon of 18% weight,Aluminum of 78% weight with silicon of 22% weight were synthesized by casting method.the wear behavior was studied by using pin on disc wear testing machine.the mechanical properties of the alloy has increased.

Sign Language Translation to Voice For Dumb People
Authors:- Rosemarry Antony, Stephy Paul, Silji Simon C, Assistant Prof. Scaria Alex

Abstract:-Communication is the only medium by which we can share or convey our thoughts, but for a person with disabil- ity(dumb) faces difficulty in communicating. It is impossible for them to communicate with others until ordinary people learn the sign language for communication. So this system will help the dumb people to intract with other people. Some existing methods are sign language to text conversion and using smart gloves. In the already existing systems signs are identified from images. The normal outputs will be alphabets or numbers and may not handle connective words like is,are etc. It is more comfortable if it is converted to voice rather than text for dumb people. In this system a webcam will capture the hand gesture from video and perform hand feature extraction. Then predict the symbol. Finally we get the result as voice. So that it would be audible to everyone. Here we are identifying signs from live video. It is the main difference from other methods. The output will be collection of words. For handling connectives special languages want to implement. Machine learning is the domain of this system. This is implemented using python. The main objective of this system is to help dumb people in their communication.

Diabetes Disease Prediction using Retina Scan
Authors:- Kanchan Doke, Rizeen Mujawar, Aditi Patil, Juhi Kamath

Abstract:- One of the foremost causes for the increase in mortality among children and adults in recent years is diabetes. Doctors are using classification systems to analyse and diagnose the medical data. In order to classify diseases, Radial basis function neural networks are more dependable. It is especially helpful in diabetes classification, because of it’s non iterative nature. In Radial basis function neural networks, there are four layers. The four layers are input layer, pattern layer, summation layer and the decision layer. They are feed forward neural networks. Along with the training data set size, the size of the pattern layer increases simultaneously. Although various attempts have made to solve this issue by clustering input data using different clustering algorithms like k-means and k- medoids, the main difficulty in determining the optimal number of neurons in the pattern layer remains unsolved. A new model is applied here in order to classify the data gathered from diabetic patients. This model is made mainly on the basis of cluster validity index and radial basis neural network. In order to determine the optimal number of neurons in pattern layer, cluster validity index is used in class by class fashion. It is important to identify the weights between summation layer and pattern layer for processing. Thus, in order to identify the weights between summation layer and pattern layer, a new convex fitness function has been designed for bat inspired optimization algorithm. For testing the model, Pima Indians Diabetes data set and synthetic data sets are being used. Experimental results proved that our approach performs better in terms of accuracy, sensitivity, specificity, classification time, training time, network complexity and computational time compared to conventional radial basis function neural network. On comparing with familiar classifiers namely probabilistic neural network, feed forward neural network, artificial immune system, GINI classifier, etc, our proposed model has proven to perform better.

Characterization of South Indian Ladies Foot And Generation of Last Thereof
Authors:- Efrem Eyasu Chute

Abstract:- Shoe-last design is a highly significant aspect of footwear design. This project aims to develop a shoe last with an accurate fitting system for young females in Tamil Nadu by collaborating the knowledge of reverse engineering and 3D modelling software. The data will be collected using a 3D foot scanner for better exactness of measurements. After analysing collected data, the existing last will be crossly checked with measured value to realize deviation from actual foot size. The new fitting from scanned data will determine possible discomfort.

Traffic Monitoring System for Hair Pin Bends and Blind Sharp Turns using Plc
Authors:- Assistant professor Ikram N, Deepak Kishor L C, Santhosh P, Karthikeyan G

Abstract:- In this method driver alerting system for vehicle at hair pin bends and blind sharp turns to avoid accident and lose of human life. To give safe journey to tourist and local person while travelling at hill station and blind sharp turns in normal road. The paper mainly focused on the control and monitoring system in hilly area at hair pin bends and sharp turns with new invented technology with the help of automated system. The automated system would reduce the accident at hill station by utilizing the programmable logic controller. Passive infrared sensor takes care of heavy vehicle like lorry, Bus with respect to hairpin bends and sharp turns. To move indication vehicle of opposite side with help of traffic signal the vehicle come from the other end. Automated system take place quality and efficiency output .Thus, the proposed automated technology include PLCs and passive infrared sensor to develop driver alerting system and improve safety in the hair pin bends of hilly roads and sharp turns.

V4 Solenoid Engine
Authors:- Khaleel Ahmed, Mujtaba Razi Ahmed, Mohd Aijaz, Assistant Professor & Supervision Attalique Rabbani

Abstract:- The main objective of our project is to overcome the drawbacks of an ordinary IC engine by replacing it with “SOLENOID ENGINE”. The solenoid engine works on the solenoid, It is a cylinder type case on which the copper coil is wrapped into number of turns, when we passes the current through it, it reciprocates the piston inside the cylinder back and forth and works like an ordinary reciprocating engine. In this engine we are using very less movable parts,hence turbulence is low when compared to an IC Engine. Also due to less components and no fuel is used for power generation it is very economical than other engines. In solenoid we are not using any type fuel combustion as total power is generated by current, hence it doesn’t produce harmful gases like IC engines do, which is very harmful for both human and atmosphere, hence it is very Environmental friendly.

Design Analysis and Optimization of (Direct Injection) Diesel Engine
Authors:- Dharamveer Singh, Er. Rohtash Sharma

Abstract:- This paper focuses on the design, Analysis and optimization of piston which is stronger, lighter with minimum cost and with less time. Since the design and weight of the piston influence the engine performance. Study Design: Analysis of the stress distribution in the various parts of the piston to know the stresses due to the gas pressure and thermal variations using with Ansys. The Piston of an engine is designed, analyzed and optimized by using graphics software. The CATIA V5R16, CAD software for performing the design phase and ANSYS 14.0 for analysis and optimization phases are used. Results indicate that the volume of the piston is reduced by 24%, the thickness of barrel is reduced by 31%, width of other ring lands of the piston is reduced by 25%, Von misses stress is increased by 16% and Deflection is increased after optimization. But all the parameters are well with in design consideration.

AQUA Silencer
Authors:- Mohammed Siraj Ali, Mohd Fasi Uddin , Nabi Ahmed Naveed , Associate Professor Attalique Rabbani

Abstract:- Day by day the Air pollution is goes on increasing. The main source of the pollution is Exhaust from automobiles and industries. Hence to reduce these pollutants from Exhaust of Engine a new technology is introduced called Aqua silencer. An Aqua Silencer is used for control of emission and noise in automobile exhaust. By using activated charcoal, perforated tube and outer shell it is constructed. An aqua silencer is connected to the exhaust pipe of engine. The activated charcoal filters the harmful sulphur oxides and nitrogen oxides content produced from the engine. Sound produced under lime water is less hearable than it produced in conventional silencer. Because of this property lime water is used in this silencer and hence its name AQUA SILENCER. It is tested in single cylinder 4- stroke petrol engine the noise and smoke level is considerable less than the conventional silencer. The main pollutants contribute by automobiles are Carbon monoxide(CO), Unburnt Hydrocarbon(HC),Oxides of nitrogen( Nox) and Lead etc., other sources such as electric power generating stations, industrial and domestic fuel consumption, refuse burning, industrial processing.

Seesaw Power Generation
Authors:-Mohd Azmath Akhtar,Md Tabrez, Supervision Assistant Professor Attalique Rabbani

Abstract:- Since the issue of electricity in India is increasing day by day, we plan to design a system that utilizes the energy that is going to waste and convert it into useful electrical energy. In playgrounds, we see a lot of energy going to waste. We have designed a see-saw that utilizes the mechanical energy and converts it into useful electrical energy. Every day, a large number of people visit parks and playground. The idea is to modify few of these rides in such a way that when they are used, the mechanical energy spent on these rides is converted into electrical energy. The proposed idea can eventually result in a concept of green energy which will base on natural energy that no one is utilizing and then converting it into useful energy. This idea can be used as an alternate of any other energy production idea that requires a lot more money and require a lot more resources. Hence this idea can save a lot of energy in the future. The energy that is converted must be sufficient enough to power the park, if not produced on a much higher scale. The paper is based on the theory behind the proposed method and how we have managed to create a prototype of what the people could install in their playgrounds

Iot in Oil & Gas: Exploring Technology &Firmware Security Techniques
Authors:-Daniel Ekpah, kamalu .A. Ugochukwu, Prince .O. Asagba

Abstract:- The Oil and Gas industry remains the hope of future energy mix and the engine that drives the clean gas initiative. The output of today’s industry now rest on the geometrical change in the technological advancement such as artificial intelligence and IoT. This paper explored IoT applications and solutions that could be applied in the oil and gas industry in creating new value information generated from integrated sensors and actuators, communication channels and data analytics. Large variety of IoT deployments and protocols raises the IoT security assurance way. In this approach, the paper examines security solutions and cases capable of improving the quality and quantity of oil production.

Determining the Countries Prepared for a Future Pandemic Based on Analysis and Visualization of Novel COVID-19 Virus
Authors:-Praffulla Kumar Dubey, Udbhav Naryani, Medhavi Malik

Abstract:- The COVID-19 has been announced as a pandemic by WHO. At the time of writing this paper more than three lakh people have already got infected from this disease. This virus has shown different statistics around the globe. As the virus spread, some countries were able to handle the adverse conditions and were able to control the spread of virus whereas many other countries were not able to handle the spread. Due to this there is a need to determine which countries need to invest more in health care so that they are prepared for similar adverse conditions in the future. We propose to satisfy this need by analysing the number of total patients, recovered patients and total number of deaths in different countries. Using the above three attributes we perform the analysis

Customer Satisfaction Analysis of McDonald’s
Authors:-Gaurav Singh, Vrushabh Raut, Professor Dr. Meenal Pendse

Abstract:- The study has been conducted in order to obtain a brief knowledge about the behavior of customers towards McDonald’s in Pune, Maharashtra, India. The main objectives of conducting the study are:
1. To understand the customer mentality towards the Fast Food Industry and international brands.
2. To understand the demands of the customers towards the Fast Food Industry which they are willing to achieve.
3. To measure the service quality provided by McDonald’s in Pune to its customers with the help of five dimensions of SERVQUAL model namely tangibles, assurance, reliability, empathy, responsiveness.
4. To come up with various Strategies and alternatives which can be utilized by the McDonald’s in Pune in order to increase its sales and quality of its services to delight the customers

Analysis of Second Sound Convective Heat Transfer & Effect of Temperature Gradient in
Super Fluid Helium-II

Authors:-Research Scholar P.V.N. Saichandu, Registrar, Professor, Dr. G. R. Selokar , (Supervision)

Abstract:- Superfluid helium Transport wonders can be portrayed utilizing the two-fluid Landau-Khalatnikov model and the Gorter-Mellink common grating. We have proceeded with our past work gave to the plan of an arrangement of conditions to depict the heat and mass vehicle in superfluid helium, and its numerical arrangement.
The precision of the estimations is at any rate ±0.5 percent. The outcomes are in great concurrence with the theoretical expectations of both Tisza and Landau yet will in general support the previous’ hypothesis over the latter’s. The way that subsequent sound produced in the superfluid can enlist on a mouthpiece stomach drenched in the fluid is examined.
Blend, portrayal, investigation of physical properties – specifically, dependable to high weights – of the accessible high Tc superconducting mixes and endeavors to unwind the instrument in charge of superconductivity have all been useful in accomplishing materials with ever higher superconducting progress temperatures. This has been the significant inspiration to the work detailed in this proposition which gives a record of the amalgamation and characterization of the new superconducting mixes (Y,RE)Ba2Ca3Sr4Cu50x and (Y,RE)Ba2Ca3Cu40x and of high weight considers on some superconducting mixes.

Convective Heat Transfer & Effect of Temperature Gradient in Super Fluid Helium II
Authors:-Research Scholar P.V.N. Saichandu, Registrar, Professor, Dr. G. R. Selokar , (Supervision)

Abstract:- With a reverberation technique, the speed of the temperature waves (second sound) in fluid helium II has been resolved as an element of temperature from about 1.4°K to the λ-point. The speed is observed to be zero at the λ-point, achieves a limit of 20.46 m/sec. at 1.7°K and diminishes to 19.80 m/sec. at 1.42°K. The precision of the estimations is at any rate ±0.5 percent. The outcomes are in great concurrence with the theoretical expectations of both Tisza and Landau yet will in general support the previous’ hypothesis over the latter’s. The way that subsequent sound produced in the superfluid can enlist on a mouthpiece stomach drenched in the fluid is examined.
Heartbeat strategies are connected to the instance of second sound in fluid helium II. Both transmitter and recipient comprise of thermal components and d-c heartbeats are utilized all through. The upsides of beating are counted for the specific instance of second sound. The undifferentiated from electrical circuit is planned for the geometry included. Information is recorded photographically and models for a few cases displayed. Speed of second sound is given as a component of temperature; both the high-temperature and low-temperature reaches are stretched out past those of past examiners utilizing standing wave strategies. Lessening of these d-c heartbeats is given as an element of temperature. The “sifting in time” innate to the beat strategy allows the examination of a few types of coupling between second sound and standard sound

Mapping of Nanorobots with Neuroscience
Authors:-R.DeepakraJ, N.Abinavan, R.Nandhini, J.V.Jaron

Abstract:- In recent days nanotechnology and neuroscience are the emerging fields. Combining these field together, it is able to develop a product which will be innovative and effective. By combining neuroscience and nanotechnology we can develop a mapping nanorobots with neurotransmitters. It was about of building many number of nanorobots, swarms of tiny robots that can link together in any arrangement imaginable which are mapped with neurotransmitters. Due to this, the nanorobotics themselves to form the object which the user thought in his mind. In April, 2014, Ex-president Obama announced a hugely ambitious science project on neurotechnologies. He also promise of hard cash of $100m in 2014 and up to billion of dollars. The research was made by Dr. Paul Weiss, Dr. Anne Andrews. This can be used in many applications like defence, house hold robots, security purpose etc. The interfacing of nanorobots and brain is done with the concept of Brain-Control Interface, Electro encephalogram and electromagnetic field

Advanced Walking AID for Visually Impaired People using Ultrasonic Sensor and Arduino
Authors:-UG Scholar B.Madhan kumar, UG Scholar E. Madubala Pradeep, UG Scholar U.Megha, Asst. Prof. V. Savitha, Prof. T. Kalaikumaran

Abstract:- The internet of things (IoT), is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers (UIDs) and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. Some of the IoT applications are Factory Digitalization, Product flow Monitoring, Inventory Management, Safety and Security, Quality Control, Packaging optimization, Logistics and Supply Chain Optimization. And also the significant issue facing by the blind people is the reptiles like snakes and dogs for this we, proposed the walking stick repeller is utilized for outwardly impeded individuals to shield them from snakes and dog . The fundamental is blind individuals to stroll effortlessly and to be cautioned like objects & reptiles by fixing frequency range 25cm to 400cm & >255hz. Obstacle recognizing Distance and occurance of vibration can be monitored in the system . If the blind people loss their usual way means it alerts the guardian through , GPS system that provide the information regarding the location of the blind person using the stick to his family members. SMS system is used by the blind to send SMS message to the saved numbers in the micro controller in case of emergency. The programming of GPS modem, GSM modem, buzzer and vibration motor has been successfully done for this system.This device will be best solution to overcome their difficulties

Catch Action: An IoT Controlling System using Gesture Detection
Authors:-Sulthana Manal,Sruthy KG

Abstract:- Today’s for each and everyone needs the IoT devices and their services. Some of the challenges associated with managing and accessing the services of IOT devices. For controlling IoT devices are nowdays using are voice recognition and others. So, here we uses a method helpful for peoples like childrens, elder peoples and for patients with disabilities. Here we propose an IoT device controlling system using hand gestures. A framework called Catch Action, where user can control an IoT devices by looking at it and doing actions. Object detection, gaze tracking, and hand gesture recognition are the three modules of the system.This paper give u an outline of certain strategies used to execute this framework and furthermore the advantages and disadvantages of it.

Mobile Air Pollution Monitoring System using Fuzzy Logic
Authors:-Sujuda ov

Abstract:- Internet of Things (IoT) is an overall arrangement of “keen gadgets” that can detect and associate with their environment and cooperate with clients and different frameworks. Worldwide air pollution is one of the significant worries of our time. Existing checking frameworks have mediocre exactness, low affectability, and require research facility investigation. Accordingly, improved observing frameworks are required. To beat the issues of existing frameworks, we propose a three-stage air contamination observing framework. An IoT kit was readied utilizing gas sensors, Arduino IDE (Integrated Development Environment), and a Wi-Fi module. This pack can be truly put in different urban communities to checking air pollution. The gas sensors accumulate information from air and forward the information to the Arduino IDE using fuzzy logic. The Arduino IDE transmits the information to the cloud by means of the Wi-Fi module. We additionally built up an Android application named IoT-Mobair with the goal that clients.we use Fuzzy Logic is a method of reasoning that ressembles human reasoning .This method similar to how humans perform decision.


Attacks on Internet of Things
Authors:-Rachana Buch, Dhatri Ganda

Abstract:- The Internet of Things (IoT), similarly called the Internet of Everything or the Industrial Internet, is another development perspective envisioned as an overall arrangement of mama chines and devices fit for teaming up with each other. The IoT is seen as one of the most noteworthy districts of future development and is expanding immense thought from a wide extent of adventures. In any case, most of these IoT devices are definitely not hard to hack and deal. Routinely, these IoT devices are confined in register, amassing, and framework limit, and in like manner they are more vulnerable against ambushes than other endpoint contraptions, for instance, PDAs, tablets, or PCs. Advanced ambushes are not new to IoT, anyway as IoT will be significantly participated in our lives and social requests, it is getting essential to step up and focus on computerized opposition. Along these lines, there is an authentic need to ensure about IoT, which has in this manner achieved a need to altogether grasp the risks and attacks on IoT system


Machine Learning Approach to Classify News Articles Based on Location
Authors:-Shrina Sachin, Monika Kar, Swapnali Shewale, Prof. Shweta Barshe

Abstract:- In this hectic lifestyle, we need to classify news as per user requirements. News are important and things are constantly changing around the world. In this paper, we will be classifying the news articles based on cities and providing set of cities specific news. We have developed our own web crawler for content extraction from the HTML pages of news articles. Random Forests, Naive Bayes and SVM classifiers algorithms are used. Machine learning techniques are used to achieve our goal and helps to classy news articles


Dry Sliding Wear Behaviour Study on Friction Stir Processed of Aluminium 6061 Alloy
Authors:-Md. Thamizuddin, Mirza Sohail Baig, Syed Mohammed MehdiRazvi, Supervision, Asst. Prof. Mohammed Parvez

Abstract:- Recently friction stir processing (FSP) has emerged as an effective tool for enhancing sheet metal properties through microstructure modification. Significant grain refinement and homogenization can be achieved in a single FSP pass leading to improved formability, especially at elevated temperatures. FSP is a solid-state process where the material within the processed zone undergoes intense plastic deformation resulting in dynamically recrystallized grain structure. Most of the research conducted on FSP focuses on aluminium alloys. Despite the potential weight reduction that can be achieved using Titanium dioxide (B4C) alloys. In this work, we examine the possibility of using FSP to modify the microstructure and properties of commercial A7075-B4C&AL2O3 alloy particles. The effect of various process parameters on thermal histories, resulting microstructure and properties to be investigated


Grass Cutter Machine
Authors:-Mohammed Afan Ashraf, Muzzammil Hussain, Mohammed Muzaffar Abdullah,Supervision,Asst. Prof. Mohd Attalique Rabbani

Abstract:- In current days, grass cutter machines are operated by fuel and electrical energywhich are costly and requires high maintenance. Hence, in this study, a hand-held operatedmachine for grass cutting was designed and fabricated by using locally available materials.Important aspects such as durability, strength, and light weight were taken into designconsiderations for better performance characteristics. The lawn mower was powered by a12V/1.35A rechargeable battery which drives the DC motor up to a rotational speed of 19,300 RPM. As a result, the generated torque will be transferred to the cutting headmechanism for efficient grass cutting. The entire configuration set up was mounted on a wooden base which attached together with a bicycle frame and a set of wheel arrangement.This portable lawn mower can be used to maintain and trim grass in gardens, home, schools or yards


Optimization of Reliability System using Solar Energy Grid Integration System ”SEGIS”
Authors:-Scholar Roshan Lal, Associate Professor Ritesh Diwan

Abstract:- The inevitable transformation of the electrical grid to a more distributed generation configuration requires solar system capabilities well beyond simple net-metered, grid-connected approaches. Time-of-use and peak-demand rate structures will require more sophisticated systems designs that integrate energy management and/or energy storage into the system architecture. Controlling power flow into and from the utility grid will be required to ensure grid reliability and power quality. Alternative protection strategies will also be required to accommodate large numbers of distributed energy sources.The scope of the SEGIS program includes improving the reliability and increasing the value of PV inverter/controllers while developing interfaces for advanced grid integration. SEGIS products are needed that will increase the value of solar energy systems in today’s “one-way” distribution infrastructure and/or will increase the value of systems in tomorrow’s two-way” grid or micro-grid. The heart of the SEGIS hardware, the inverter/controller, will manage generation and dispatch of solar energy to maximize value, reliability, and safety. The inverter/controllers will interact with building energy management systems and/or smart loads, with energy storage, and with the electric utility to allow the integration of relatively large amounts of PV energy while maintaining or increasing grid reliability


A Review of Power Factor Compensation in UPQC System
Authors:-M.Tech. Scholar Sourabh sahu ,Assistant Professor Tikeshwar gajpal

Abstract:- The extensive application of power electronic devices induces harmonics in the utility system which generates problems related to the quality of power delivered. Good Power Quality is immensely important for both industrial and domestic sectors. Researchers have tried and implemented much useful technology for removing all the voltage and current related harmonic occurrence problems which in turn improves the quality of power delivered to the customers. In general, these devices are classified as custom power devices UPQC is one such device which is capable of improving power quality by eliminating source as well as load harmonics. This paper presents a review on power quality improvement by employing Unified Power Quality Conditioner


Dustbin Collection & Monitoring System via IOT
Authors:- G.Pavithra, S.Shobana, S.Sushma, S.Thanapriya, R.Saravanan

Abstract:- The uncollected waste material when the waste bin is full is a common problem nowadays. Thus, an efficient waste management for the waste material is essential in ensuring a clean and green surrounding environment. This paper presents an Internet of Things (IoT) based Smart Waste Collection Monitoring and Alert System to monitor the waste material at the selected site of garbage collection area. The system is implemented using an ultrasonic sensor which is connected to PIC IC16F887aas to monitor waste bin garbage level. In this system, waste bin depth level will be sent via Arduino Ethernet Shield with an Internet connection to the Ubidots IoT Cloud. The Ubidots store the collected waste bin level data into IoT database and display the waste bin depth level on online dashboard for real-time visualization. The Ubidots Event manager invoke a notification alert to garbage collector mobile phone via a SMS when the waste bin is nearly filled for immediate waste collection. Therefore, the waste collection became more effective and systematic.


Online Bus Pass System
Authors:- Lecturer Vikas Burgute,Shamrao Ghodake,Priyanka Koradkar,Sonali Dhaware

Abstract:- The project name as “Online Bus Pass System” is useful for passengers who are facing problems with the current manual work of bus pass system and renewal. His/her renewal or registration can be done through online payment. In the existing system the user has to go on particular date and time if they fail then the renewal done. Online bus pass system application will help the user to save their time and renewal bus pass without standing in a line for hours near counters. There are uses need to register with the application by submitting their details through online. The admin will verify the candidate details and if they are satisfied they will approve bus pass. The user can login with their username and password and renewal is performed. The renewal process is carried by paying the money using online payment. The user can give their valuable feedback for further enhancement of this project.


Guardian-Faculty Member Android Application (GFM)
Authors:- Lecturer Salma Shaikh,Siddhi More,Poornima Edke,Shanti Gambhire

Abstract:- This is aimed at developing an Android Application for parent-faculty interaction, which is very important in any educational institution. This system will be useful for both parents and faculty members for effective communication. Faculty members can upload information like maintaining records, attendance, daily activities. Earlier, managing details, a schedule was entirely based on manual effort and it is a time-consuming process. This application has been proposed to overcome such problems. This application has a record of daily activity planning that lists criteria for a piece of work. This application saves a considerable amount of time when instructors creates and manages activities. Overall, this application helps faculty in their work and improve their daily activity planning system.


Analysis of Coaxialdouble Gate Schottky Barrier Carbon Nano-Tube Field Effect Transistors
Authors:- Asst. Prof. Dr. Diwakar Nath Jha

Abstract:- Carbon nanotubes have emerged as promising candidates for nanoscale field effect transistors The contact between metal and CNT may be of Ohmic or Schottky type. Schottky contact CNTFETs operate by modulating the transmission coefficient of the Schottky barrier at the contact between the metal and CNT,but the ambipolar behavior Schottky barrier CNTFETs limits the performance of those devices.we show by employing a double gate structure the ambipolar behavior of those devices may be suppressed.


IOT Based Smart Surveillance using Voice Recognition
Authors:- V.Saravanan, G.Maheswari, G.Aswini, S.Mariya Epsiba

Abstract:- Surveillance has used in lot of applications like home nursing , taking care of elderly people etc. Smart surveillance using voice recognition system is capable of enhancing situational awareness across multiple scales of space and time. It describes IOT based remote control and surveillance architecture using Raspberry Pi. This project make use of sounds around the environment and detect the intrusion using voice recognition technique and using sound sensor detector module we can identify the intrusion using decibel level. Once the recognition is done and the intrusion is found, it sends the alert notification from the server to remote administrator over android application. Then admin can take an appropriate action and alert local security. In this project we use Raspberry Pi as a main source which is the best and efficient platform for IOT. Sound sensor detector module is connected in the raspberry pi board. The data are continuously stored in the cloud. We can able to retrieve the data whenever and wherever we need from the cloud service using internet connection. We use mics to recognize and compare the sounds around the environment.


Livestock Health Monitoring and Tracking
Authors:- Chinmaya.S, Naveen Kumar.K, Nivetha.R, Rakesh.R, Dr. T. Kalaikumaran

Abstract:- Health Monitoring of dairy cattle plays a vital role of increasing the dairy products supply worldwide. Nowadays farmers are showing less interest in dairy sector as animals are suffering from various ailing health issues, unpredictable killing disease, and advance breeding cost. The main objective of this project is to develop an automatic veterinary system for monitoring the cow. The IOT based cattle health and environment monitoring system monitors various cattle health parameters such as body temperature, heartbeat, location of animals and environmental parameters such as temperature, humidity. These all are connected devices to monitors animal’s health, environment of shed and these edge devices communicate with the shed controller through mobile application. Monitoring the activities and health of the cattle continuously and taking corrective measures help in increasing the milk productivity. This helps in preventing the cattle from diseases at early stage and also increases the milk yield.


Automatic Vehicle Speed Control with Wireless in Road Sign Delivery System
Authors:- Bindu Shree A N, Chaithra, Bhargavi B R

Abstract:- Nowadays accidents are occurring frequently, causing demise of many people by making modest mistakes while driving (in school zone, hills area, and highways). But sometimes it may not be possible to view the signboards placed by the Highway Department to alert the drivers in such kind of places and there is a chance for accident. The advancement in the processor technology and microcontrollers has opened a new system designed to prevent the accidents caused due to negligence of drivers in seeing traffic signals alongside the road and other anomalies on the roads. So to intimate the driver about the zones and to automatically maintain the speed is accomplished by means RF technology. The main objective is to design a Electronic Display controller meant for vehicle’s speed control and monitors the zones, which runs on an embedded system and can be custom designed to fit into a vehicle’s dashboard to display information on the vehicle, the vehicle’s Electronic Display Controller Unit warns the driver, to reduce the speed according to the zone, it waits for driver’s response and reduces the speed of vehicle automatically.


A Study of YouTube’s Service Quality
Authors:- Mihir Kulkarni, Mohammed Dilawar

Abstract:- YouTube is the most trending and most widely used video streaming platform in today’s date. Their users are spread across the world. With such a broad user base, it becomes important to survey the quality of service provided by them at global level. In the following paper the researchers attempt to study the relevant literature on the topic and explain their methodology of assessing the quality of service provided by YouTube. They also attempt to state the gaps and shortcomings in the services provided by the streaming platform effectively and come up with relevant suggestions.


An Automated System of Brain Hemorrhage Detection using Deep Learning
Authors:- A. Shalini, P. Veera Vijayashree, S. Vishal, Shiju C Chacko

Abstract:- In our human body, brain is one of the most complex organs that works with billions of cells. A brain hemorrhage is a type of stroke that is caused due to bleeding which occurs due to the result of ruptured artery Medical imaging is used to create a visual representation of the organs and tissues in the body. Either MRI or CT scans for the purpose of diagnosis are suggested by medical experts. The proposed system will employ CT images as they pass X-ray beams in an arc and this enables to take several pictures. The proposed system classifies the CT image of brain is affected or not image using Deep Convolutional Neural Network.


Cranium Armour 2.0
Authors:- Arbaaz Memon, Prathamesh Matte, Monish Shingnapurkar, Sachin Bojewar

Abstract:- The project aims to increase the percentage of riders wearing a helmet in turn ensuring safety of people. The project will make use of microcontrollers such as Arduino nano, Bluetooth module, etc. India has one of the highest number of two wheelers. Yet, a large majority of riders avoid wearing helmets. Reasons for not wearing a helmet are many, some of which are silly, but in the end the price a rider pays for not wearing the protective gear can be life threatening.


Temperature Dependence and Survivorship of COVID 19: “Myth or Fact”
Authors:- Achal Thool , Assistant Professor Ashwini Mankar, Assistant Professor Vijay Harode

Abstract:- A novel Coronavirus, 2019-nCoV, has been identified as the cause of an outbreak of respiratory illness that originated in Wuhan, China, and which has spread to several other countries around the world. Assessment of the risks posed by severe acute respiratory syndrome (SARS) Coronavirus (SARS-CoV) on surfaces requires data on survival of this virus on environmental surfaces and on how survival is affected by environmental variables ph, temperature, relative humidity etc. Scientists are racing to identify the source of the Coronavirus that is causing havoc around the world. Three weeks ago, Chinese scientists suggested, on the basis of genetic analyses, that the scaly, ant-eating pangolin was the prime suspect. In this review we will summarize the current knowledge on whether the virus is really temperature dependent and whether the virus needs an intermediate host as a living or non living particle to survive before it gets transmitted to the one and only susceptible host i.e Human.


Design Concepts of Green and Sustainable Industrial Park
Authors:- Asst. Prof. Tintu Shine A L, Jaison James, Dona Elizebeth Dolly, Mathews Mathew

Abstract:- A sustainable and green industrial park is an area allotted for industries with initiatives to reduce waste, pollution, share resources (such as materials, water, energy, infrastructure, and natural resources), and help achieve sustainable development, with the intention of improving environmental quality. Our study aims at a design process with a flexible and adaptable layout of the park to maximize use of renewable energy and minimize carbon emissions. The work includes impact studies, waste treatment, sustainable processes like carbon capturing, renewable energy sources, eco-friendly construction materials, rain water harvesting, permeable pavements etc. Here we transform a normal area of land into an efficient and eco-friendly industrial zone. The study can be considered as a general design as the technologies adopted here can be applied irrespective of locality.


Finding Smallest Number in a Set Quantum Circuit
Authors:- P.k.Vijay

Abstract:- Finding smallest number in a set which is a simple process which can be performed in a classical computer. Then what is the reason of this paper?
The main motive of this paper is not finding the smallest number using the iterative method i.e. using classical computer but rather using the most power computer ever built i.e. “Quantum computer”. But what is the use of quantum computer for this purpose which can be performed using a normal laptop? So in order to explain this question lets create a situation that you have to find out the hospital which is at the shortest distance in one shot (emergency situation) and you are given with a classical computer and quantum computer. Let’s say you selected a classical computer for this job you don’t succeed because basically normal computers which actually works by iterative method
i.e. going one by one. But if you selected Quantum computer you can find the solution in one shot. Where this power comes from? Basically from two concepts “superposition” and “entanglement”. So this paper explains how to find the smallest number in a set using a quantum circuit.


Semantic Video Mining for Anomaly and Mishap Scrutinizer
Authors:- Rohith G, Vishnu Narayan V, Twinkle Roy, Shery Shaju, Asst. Prof. Ann Rija Paul

Abstract:- Video surveillance is necessary to pull out more interesting and useful information from video data set. From various applications of video surveillance the system works for accident detection from abnormal behavior of multiple vehicles on highways and notifying for the same. it is one of the most active research topics in computer vision. In this work, rapid traffic video surveillance and monitoring system are presented along with dynamic traffic signal control and accident detection mechanism. It works with the objective of producing the complete automatic intelligent system to overcome the delay expected by the human efforts in detecting accidents. To fulfill the objective moving objects are detected using background subtraction. These objects are classified to separate out the desired objects which are positive samples tracked to analyze the behavior and gen- erating the required events. The system detects accident using the vehicles stopped motion, which can be due to accident or vehicle stopped at the roadside. The accident situation can be detected by using the classifier. Thus accidents are classified automatically into major and minor accident classes and the information is sent immediately to the concerned people. For major accidents the message is sent to ambulance, police and relatives, and for minor accidents message is sent to relatives alone. The proposed intelligent traffic video surveillance system renders rapid dynamic control of traffic signals and it raises the identification of accidents correctly.


Modified Effective Materials for Flexible Pavement Pothole Repair: A Review
Authors:- UG Student Swati B. Chavan, UG Student Kshitija M. Shirke, UG Student Rushikesh A. Ghorpade, Asst. Prof. K.H. Ghorpade

Abstract:- One of the most important infrastructure in a progressing country are the communication routes. Since roads indirectly contribute the economic growth. Potholes are the biggest enemy for road users. Government is looking at all options to keep our roads in the best conditions but it is temporary solution for pothole repair. Due to this potholes claimed 30 lives every day in India. Therefore, this preference study need states that to fulfil the need of sustainable repair pothole structure by developing enhanced modified bitumen. There are different kinds of waste materials which satisfy all analysis and strength for pavement performance, significantly it improves asphalt mixture strength when mixed with modified material with bitumen. It contributes to reduce, reuse of waste materials to achieve, economy and develop environment friendly solution to improve pavement strength performance.


Automatic Road Sign Recognition and Alerting on High Way
Authors:- Assistant Professor Rohith M.N, Assistant Professor Shilpa R V

Abstract:- This paper purposed a Road Sign Recognition system which can automatically detect and classified the traffic signs in traffic scene images acquired from a moving car and also alerting based on the recorded voice. It provides an additional level of driver assistance, leading to improved safety for passengers and vehicles. By alerting about the presence of road signs would reduce risks in situations of driving distraction, fatigue, poor sight and weather conditions. First it uses color based segmentation and then further refines the segments using two shape detection based techniques. A color description technique is used to extract the sign information from the segmented part which then finally classified by Neural network– which classify the detected patterns to known traffic signs using standard database the extracted shape and content features are utilized to train a Support Vector Machine polynomial Kernel which is later classified with the input candidate road sign shapes and contents respectively. An automatic voice alert system is also proposed such that a caution is given to the driven about the mandatory road signs that need to be followed and the new vehicle performance has been continuously improved and the study results relating to the safety of vehicle driving have also been continuously reported and demonstrated are also been discussed here.


A Study of Finite Element Analysis on Single Tube Fin Arrangement in Radiator
Authors:- D.Suresh, V. Vigneshwaran, K.Venkatachalam, R. Ashok Kumar, V.Raveendran

Abstract:- Automobiles mostly uses aluminum as a material for radiators fins as it is most economical, but copper has more thermal conductivity with higher performance rate. Hence our main objective in this project is to improve the heat transfer rate in fins by introducing a composite material based on aluminium with copper for the radiators. Finite element model thermal analysis is used for the purpose of studying. Varying shapes of the fins like straight, chamfer and round edges are used and are 3D modeled in CATIA Software and FEA analysis is done on ANSYS WORKBENCH software R15.0.


A Review on Wireless Sensor Networks, Internet of Things, and Their Challenges
Authors:- P.G. Scholar Narendra Kumar, Asst. Prof. Sriram Yadav, Hod. Avinash Sharma

Abstract:- Programmed framework and computerization is the prerequisite of the present innovation. So pushing toward computerization for quite a while. It is one of the tending subjects. Therefore in this research work an automatic electronic appliance on/off using PIR sensor will be provided. In this work, a design is proposed using PIR sensor for automation of lights and fans using Arduino with Internet of Things for smart homes. Now a days there are automation of every little electrical device in homes. Internet of Things is the physical thing embedded with sensors, software etc.., without human interaction and computer interaction transaction of data over a network; however, it scales up to include smart cities with connected sensors. Using PIR sensors, the lights will consequently turn on and off as indicated by the power of light.
The Internet of Things (IoT) is designed for the purpose of multi-hop transmission, collision- free transmission, and high energy efficiency in automated environments by the use of sensor nodes. Today the world deals with major problem in agriculture. The ongoing changes in atmosphere have expanded the significance of agriculture observing, making it a topical and very dynamic research region. This field depends on remote detecting and on remote sensor systems for social occasion information about the farming and post to client through IoT. This information can be refresh often to the cloud and client can screen soil dampness, Temperature, air parameter sensor like humidity. The correspondence of two agribusiness grounds can be imparted utilizing RF handset with 8 channels, 2Ghz specification. In this paper, we briefly study about wireless sensor network and internet of things and its protocols. The detail description of wireless sensor network includes its architecture, applications, etc. The internet of things has been defined architecture and protocols with its related applications. With the help of internet, the sensor can pass its collected information to the users.


Use of Blockchain for Secure E-voting
Authors:- Er. Zainab Mirza,Aalia Shaikh,Sameena Shaikh,Nagama Khalifa,Yasirammar Khan

Abstract:- Implementing a most secured technology based E-voting system which provides the high-level security and privacy to the voting system while still having the best features of current voting systems. In this paper, the technology suggested to be used for offering security is Blockchain. Blockchain is the driving force of the security and it will be used as a service to secure the and implement distributed E-voting systems. The paper addresses and talks about some of the limitations and drawbacks of current not-highly secured and easily tamperable voting systems. Like the case where pressing a button could sometimes send the vote to another unintentional party. The blockchain will help us improve security because of its immutable nature. Some of the various popular blockchain frameworks could be used like Etherium, Hyperledger, etc. In general, we use the blockchain to its full potential to maintain the integrity of the people rights and their votes and also thereby reducing the budget of conducting a voting nationwide.


Review Paper on Pumice for Removal of Turbidity and Total Dissolved Solids from Water
Authors:- UG Student Omkar A. Magar,UG Student Tushar A. Kale,UG Student Manadr S. Baporikar,UG Student Sujata A. Manale,Asst. Prof. Abhishek C. Shirle

Abstract:- Pumice stone is used in construction industries & biomedicine also. Pumice stone is scouring, scrubbing & polishing material available in powder form as well as pumice stone. From recent studies, it is conclude that pumice stone is used in water & wastewater treatment process. As per literature review it is seen that by using the adsorption property pumice stone we can remove Cadmium (Cd), dye & color many other pollutant like heavy metal (Co+2, Cu+2, Fe+2, Cd+2) and earth cations like (Na, K, Ca+2 Mg+2) .In other hand pumice stone has been used as filter media and biological treatment.


Extraction of Crop Cycle Parameter from Multi-Temporal Data
Authors:- Asst.Prof. Poonkodi. P,UG Scholar Keerthana. S,UG Scholar Monisha. S,UG Scholar Ramanan. N,Professor kalaikumaran.T

Abstract:- This work aims to point the simplest way to manage heterogeneous information and data coming from real datasets that collect physical, biological, and sensory values. As productive companies—public or private, large or small—need increasing profitability with costs reduction, discovering appropriate ways to require advantage of information that are continuously recorded and made available are often the proper choice to achieve these goals. The agricultural field is barely apparently refractory to the digital technology and also the “smart farm” model is increasingly widespread by exploiting the online of Things (IoT) paradigm applied to environmental and historical information through time-series. the most target of this study is that the look and deployment of practical tasks, ranging from crop harvest forecasting to missing or wrong sensors data reconstruction, exploiting and comparing various machine learning techniques to suggest toward which direction to use efforts and investments. The results show how there are ample margins for innovation while supporting requests and desires coming from companies that wish to use a sustainable and optimized agriculture industrial business, investing not only in technology, but also within the knowledge and in skilled workforce required to want the only out of it.


A Review Article of Round about Analysis at Bangalore (Bannerghatta Nice Road Junction) City
Authors:- M.Tech Scholar Ankur Bhatt, Assistant Professor Akshay Gulghane

Abstract:- The traffic clogs are the serious issue in any creating city. Bangalore (bannerghatta nice road junction) city being a creating city having traffic issue in a few crossing points that is the reason, Traffic Rotary at street convergences is unique type of level difference in paths to channelize development of vehicles a single way around a focal traffic island. With quick development of traffic it is encountered that enlarging of streets and giving flyovers have gotten basic to conquer significant clashes at crossing points, for example, impact among through and right turn developments. Along these lines, significant clashes are changed over into milder clashes like combining and wandering. The vehicles entering the turning are delicately compelled to move a clockwise way. They at that point weave out of the revolving to the ideal course.


Design and Deflection Analysis of Deck Slab using Staad Pro Software
Authors:- Rajendra Soni, Associate Professor Komal Bedi

Abstract:- Bridges are the lifelines and supporters for the improvisation of the road network. Not only do the bridges help in traffic flow without any interference but also maintain the safety of roads. Due to this reason the bridges design has gained much importance. This paper is basically concerned about the analysis and design of Deck Slab Bridge by STAAD Pro using IRC Loading. Which contains a span of 100m X 16m and has a 4-girder system? The objective is to check the result for particular input design, properties and parameters and the approach has been taken from IS standard design. We also compared of two different materials like as EPS and Steel in deck slab design. The output contains analysis results such as moments, axial forces, shear forces, deformations, Deflection and design results such as reinforcement detailing of bridge structure. From the research it can concluded that the analysis can be done for any span of bridge, grade of concrete and grade of rebar. Hence, this article may help the structural engineer to analyze and design EPS simple span bridges.


Public Opinion Poll Generation using Twitter and Machine Learning Algorithms
Authors:- Chelikani Satya Sankeerth,Sairam Sadu,Assistant Professor Choudari Lakshmi

Abstract:- Today we live in an information age where a lot of data is being generated each minute. Because of quick increment in the measure of client created information via web-based networking media platforms like Twitter, several opportunities and new open doors have been prompted for associations that try hard to keep a track on data. Twitter is an immensely fast emanant micro-blogging social networking platform for clients to communicate their perspectives about various aspects like governmental issues,products,movies,sports etc. Because of the vast opinion rich web asset such as twitter a lot analysis is focusing on the area of sentiment analysis. Individuals are attempting to build a system that can identify and classify opinion or sentiment as given as an electronic text. Sentiment Analysis can be seen as a field of text mining and natural language processing.Sentiment analysis is a process of consequently recognizing whether a client created content communicates positive or negative opinion about an element.A right strategy to predict sentiments could be utilized to separate sentiments from the web and predict online client’s preferences which may prove valuable for economic,market research and also for the government in different ways like keeping a track on customer reviews, government can get the public opinion on their policies easily and efficiently, it can also be used in election analysis and election prediction. Consequently, tweets can be utilized as a significant hotspot for mining public’s sentiment.


Emergency Response Application [ERA]
Authors:- Abhinav Tarhekar, Pratik Jadhao, Prashant Kumar, Pratigya Pal, Megha Kadam

Abstract:- In today’s world, people using smart phones have increased rapidly and hence, a smart phone can be used efficiently for personal security or various other protection purposes. The increasing of incident now-a-days have waken us to go for the safety issues and so a host of new apps have been developed to provide security systems to women and men via their phones. This paper presents Pola, an Android Application for the Safety of People and this app can be activated by a single click, whenever need arises. A single click on this app identifies the location of place through GPS and sends a message comprising this location to the nearby Police Station in that specified area where crime is being taking place. The unique feature of this application is to send the notification to the Police Station which are located in that same area and the notification don’t go away till it has been seen and open in the Pola. Continuous location tracking and will get updated in the app automatically till the location of the victim is found and can be rescued safely.


Real Time Protection for Power Line using OTP
Authors:- UG Student P.Priyadharshini,UG Student P.Swetha,UG Student S.Yageshwaran,Asst. Prof. B.Dhinesh

Abstract:- Safety is one of the primary objective of every humanlife. In order to enhance the safety measure of the line man this project i.e, Real time Protection for Power line using OTP provide solution. It save the life of line man who is working on the power line during repair. Real-time power line protection uses finger print verification and OTP based password generation. In normal, the power line is turned ON/OFF by using the lever, the updated version of this project is password based system. The password can be misused by some unauthorized person knowingly or unknowingly. In order to verify the accessing person, the fingerprint of that person is scanned using fingerprint scanner which provides the solution.


Camera based Home Automation System using OpenCV
Authors:- Arun Gaddam,Pranoti Solat,Revti Zade, Ritesh Kubde,Sakshi Tinkhede

Abstract:- In this project a design and implementation concept for a real-time good smart home automation system based on supported live streaming with digital or IP Webcam camera and OpenCV primarily based human detection algorithm using HOG by Arduino microcontroller board has been presented. The proposed automation system consists of three main hardware components: smart mobile phone which IP Webcam is installed in, laptop or PC to observe and detect the presence of human through IP Webcam and Arduino microcontroller board. The house appliances like light, fan, temperature system, etc. can be monitored, controlled and accessed mechanically or wirelessly by Arduino in response to any signals came from OpenCV algorithm. The human detection formula has been developed using python language with the library of OPenCV package of python. The algorithm used is based on Histogram of Oriented Gradients (HOG) algorithm. The proposed system is shown to be simple, cost effective, sensors free and flexible that produces smart home future.


Blind-Assist
Authors:- Parvathy Mohanakrishnan, Reshma P.G, Shabana Asmi K S, Assistant Professor Aswathy Wilson

Abstract:- The recent survey on the issues faced by the visually impaired suggested self-reliant movement in urban areas as challenge. It also becomes difficult for them to stay a track of their routine environments. So, we proposed a completely unique way of assisting the visually impaired to acknowledge e various objects and to detect obstacles. The system detects obstacle before of the person and also recognize them to assist aid a visually impaired person. This paper proposes an efficient system for both obstacle detection and beholding. We employ image-based recognition supported the visual information obtained from a pi-cam to detect objects. Ultrasonic sensors are accustomed aid the obstacle detection. Ultrasonic waves are emitted by the ultrasonic sensors to detect the presence of an obstacle and therefore the distance thereto. Raspberry pi is common medium for obstacle detection and beholding. Raspberry is connected to ultrasonic sensor via a breadboard and pi-cam is direct connected to Raspberry pi. Raspberry Pi is employed to implement artificial vision using python language on the OpenCV platform, presence of third-party modules, open source, extensive support libraries like characteristics of python adds advantages to the processing part. This paper proposed a modified YOLO algorithm in OpenCV using Python language and COCO dataset which has an additional module for obstacle detection. The camera captures the image of the item and extract the item alone by clearing off the encompassing. The image is them compared with the predefined dataset to spot the item particularly. The output information regarding the item are provided via a headset or ear-bone. Experimental analyses also are provided to match various methods and draw some meaningful conclusions. In obstacle detection, the presence of an obstacle is known via buzzer sound. The system is especially introduced by keeping in mind the most aspects and therefore the difficulties faced by the visually impaired in their day-to-day life.


Empathetic Technology in Workplace Environment
Authors:- Monica Gullapalli, Yadnyesh Mahadeshwar, Mitali Rathod,Ajay Sharma,Amol Dapkekar

Abstract:- Empathy and Technology going hand in hand is an unpredictable combination. We might think that we are capable of hiding our emotions, our internal conflicts, our constant battles but maybe we don’t and this technology is at its best foot forward to help us understand how our bodies react to situations either knowingly or unknowingly. People spend most of their lifetime in office cubicles and cabins thus falling prey to work pressure. Empathetic technology can help in reducing mental stress on employees thus increasing their productivity and efficiency that would in return help the progress of the company and the country in the long run.


Distribution of Microplastics in Estuarine Sediments along Tamilnadu Coast, Bay of Bengal, India
Authors:- A. H. Nabisa Begum, S. Sathish Kumar, K. Gopala Krishnan , M. Srinivasan

Abstract:- The occurrence and distribution of large plastic debris in the marine environment are well documented but up to now, only five studies including the Gulf of Cambay, India on the occurrence of plastic fragments have included true microplastics. In the east coast of India, there was no data for the occurrence and distribution of microplastics. Information on the distribution of microplastics in the Tamilnadu coastal environment is necessary to determine the extent of microplastic pollution input into the sea. This study aims to investigate the occurrence and distribution of microplastics in Tamilnadu coastal sediments collected from three estuarine regions.


Car Park Access Control System
Authors:- Vishva Methaniya, Jishnu Nair, Parth Patel, Ananthanarayanan R, Asst. Prof. Riddhi Mehta

Abstract:- This paper has demonstrated the idea of a programmed vehicle parking framework. Everything in the cutting-edge world is going programmed, we have fabricated a system which can consequently detect the vacant parking spaces through the entryway and after that show the number of vehicles in the parking lot. This computerized vehicle parking system lessens the time taken to check the space for vehicles by showing the accessible spaces for parking on an LCD display at the entry and exit. Using OpenCV we can detect the empty slot for parking. OCR reader is used for user registration by scanning the Smart ID verified and approved by the Govt. A QR code will be generated from this Smart ID and will be sent to the user for verification when he/she re-visit the parking lot.


Speed Detection Violation Deterrent
Authors:- keval Patel, Yash Patel, Hardik Patel, Prudhvi Krishna, Guide Janvi Patel

Abstract:- Road accidents have been very common in the present world with the prime cause being the careless driving. The necessity to check this has been very essential and different methods have been used so far. However, with the advancement in the technology, different governing bodies are demanding some sort of computerized technology to control this problem of over speed driving. At this scenario, we are proposing a system to detect the vehicle which are being driven above the given maximum speed limit that the respective roads limits. A complete violation detection system using python and TensorFlow.


Partial Replacement of Soil by Plastic Waste for Manufacturing of Bricks
Authors:- UG Student Rahil Rafiq Karbhari,UG Student Nilesh Ramlal Choudary,UG Student Saif Ali Yusuf Khan,UG Student Akshay Shantilal Palesha,Prof . Abhishek C Shirle

Abstract:- This paper outlines the use of plastic waste (PW) in construction industries. Utilizing PW as construction materials especially in production of bricks is one of a promising step towards a sustainable resources and waste management. Since the massive demand has been placed on artifact industry especially within the last decade due to the increasing population which causes a chronic shortage of building materials, the civil engineers are challenged to convert waste to useful building and construction material. Recycling of such waste as staple alternatives may contribute within the exhaustion of the natural resources; the conservation of non renewable resources; improvement of the population health and security preoccupation with environmental matters and reduction in waste disposal costs. This reviewed approach on brick making from waste is beneficial to supply potential and sustainable solutions.


A Review of Toll Plaza Density Optimization and Pollution Reduction in ITS
Authors:- M.Tech. Student Abhishek Ankushrao Chavan,M.Tech. Student Pratik kalidas Walke,Professor Dr. B. V. Khode

Abstract:- Interest in the intelligent transportation system comes from problems caused by traffic congestion and a synergy of new information technology for simulation real time and communications networks. Traffic congestion has been increasing worldwide as a result or increased motorization, urbanization, population growth and changes in population density. Congestion reduces efficiency or transportation infrastructure and increases travel time, air pollution and fuel consumption. Now a day’s development of roads has created a new havoc which lead to the increase in the accident cases all across the world, in order to over-come from such a problem, Intelligent Transport System holds a good point. Intelligent Transport System is designed for the urban/state/private road transport organization. The system consists of a backend and a hardware component to provide an integrated solution for the driver console unit, electronic ticking machine passenger information system amid vehicle tracking system. Intelligent Transport System provides a single solution for transport companies to schedule and monitor buses with the help of advance technologies such as GPS, Wi-Fi and GPRS. Intelligent Transport System facilitates better public transport services by considering the bus earning, public safety and security. This paper basically discusses the impact and the various application fields or Intelligent Transport System for road transportation. Also, this paper put forward the implementation or various transportation technologies that will be vital for homeland security, vehicular surveillance along with technologies that can make our ride more safe and economical.


A Review on Efficiency of Geo Grid in Road Pavement Construction
Authors:- M.Tech. Student Pratik Kalidas Walke,M.Tech. Student Abhishek Ankushrao Chavan,Professor Dr. B. V. Khode

Abstract:- Geosynthetics have grown in the civil industry in the past twenty years becoming key materials in the design of new roads and in maintenance programed. Geosynthetics are now widely used for strengthening of in situ soil, mechanical improvement of pavement layers from the subbase up to the asphalt wearing course using different type of geosynthetics, from geotextile to geogrids and geocomposite. Management of stormwater can be achieved using geocomposite for drainage instead of traditional gravel drainage. The paper will discuss the geosynthetic functions in pavements and their use in a pavement structure, highlighting advantages and disadvantages gained from literature and experience.


A Novel idea for monitoring the Performance of Data Extension Control Board for Textile Industry using Embedded Technology
Authors:- A.Gokulapriya, L.Moniga, K.Gokulnath, Associate Professor S.Kalpanadevi M.E.,( Ph.D.)

Abstract:- Textile Industry is one of the most complicated manufacturing industries due to its fragmented and heterogeneous nature mostly dominated by small and medium enterprises. Mostly in textile industry power looms are used which is having electronic jacquard for design printing. In electronic jacquard lot of electronic boards are used such as design inserting board, data extension control board, magnetic module etc…In the proposed idea performance of data extension control board is taken for analysis. Generally the purpose of data extension control board is to split the master data into 16 set of 8 bit serial data. In manufacturing phase, there exists an complication during the testing of data extension control board. During the testing period, the output of this board have the problems like absence of clock, data mismatching, bit storage problem and voltage level variation. Nowadays in the industry testing is done manually. Due to manual testing lot of quality issues araises from the consumer side. To overcome this problem a methodology is proposed to automate the testing of this board which also rectifies the problemof low efficiency and high error rate in manual testing.


Two Module Approach for Surveillance Robots for Better Reusability
Authors:- Vishal Khemnar, Ishan Pandita, Rahul Bhandari, Prof. Amol Dumbare

Abstract:- In the modern world, human life is considered very precious in almost all parts of the world. Pre-modernization this was not a common scenario. People had to risk their lives for menial tasks which are now handled by robots. Robots have replaced humans in many fields which can be either good or bad. Bad – people consider machines have made them jobless by replacing them. Good – machines can work in dangerous situations instead of humans so many lives are saved from being endangered.
Surveillance is one such scenario where many spies had to endanger their lives to get Intel on enemy forces. This task is handled mostly by a country’s intelligence agency and it is considered as one of the most important functions for that agency. Moving robots with a camera can be always better than stationery cameras which are easy to find and disable. Also, if the robot is streaming the live to the source, then even if the robot is found by enemies, the footage is safe at the receiver’s side. If the video is streamed over a wireless network then it is independent on internet availability. This project uses a Raspberry Pi Camera to capture the video and an Arduino UNO to control the motors to move the robot using a L293D H-bridge motor driver.


Spatial Distribution of Fire Service Stations and Service Area Coverage Analysis for Kaduna Metroplois
Authors:- Lugga M.S,Emakoji M.A

Abstract:- Fire is one of the most disturbing problems in urban areas, in Kaduna very large amount of property and lives are unfortunately destroyed by fire annually. GIS technology is a valuable tool in managing fire disaster. This research described the spatial distribution and service area coverage of fire service stations within Kaduna metropolis using GIS. Bing Satellite imagery of 5 meters resolution of the study area was processed and digitized. Handheld GPS was used to obtain locations of the fire service stations. Since response time to a fire incident from fire service station is crucial in managing fire disaster, the service area coverage analysis was used to determine the coverage area of each facility in 3, 5 and 10 minutes. The study shows the spatial distribution and attributes of the fire service stations within the metropolis and concluded by revealing the need for additional fire service stations since there are areas that cannot be accessed in 3 or 5 minutes from the fire service station, this will be able to service the entire metropolis in a maximum of five minutes drive time.


Smart Bin Using IOT for Smart Cities
Authors:- N. Ranjitha,C. Suruthipriya,S. Triveni,R. Deivanai

Abstract:- In past few decades there is a rapid growth in the rate of urbanization and thus there is a need of sustainable urban development plans. Now using new age technology and strategic approach, the concept of smart cities is coming up all around the world. A smart city is incomplete without a smart waste management system. This paper describes the application of our model of “Smart Bin” in managing the waste collection system of an entire city. The network of sensors enabled smart bins connected through the cellular network generates a large amount of data, which is further analyzed and visualized at real time to gain insights about the status of waste around the city. This paper also aims at encouraging further research in the topic of waste management.


Overview of Digital Marketing Services
Authors:- Happy Yadav, Hansraj Yadav, Nivedita Kumari

Abstract:- Understanding the concept of digital marketing and objective of the Internship are to understand the requirements of the client and developing the strategies according to the requirements to achieve the client’s objectives.


Importance of Industrial Training for Technical Student
Authors:- U.G. Student Bhushan, Hod. Dharampal Kataria, Yoginder Kumar Yadav

Abstract:- We all know that in engineering, there is a 4-month or 6-month industrial training program for engineering students. In this paper, we will talk about the importance of training and its benefits. The training program improves the trainee’s (students) ability of performance. They should also know about the new concept and technology. They should also prepare for new projects and learn to deal with critical situations at the industry level. Through this, they can also become a good leader in new projects in industries. In this paper we will share some experiences of trainees and their mentors, we will also see the difference between practical work in industry level and theory classes.


Review of Power System Stability Enhancement using Fact Controller
Authors:- Vidya Sagar Verma, Associate Professor Ritesh Diwan

Abstract:- The machine dynamics response to any impact in the system is oscillatory. In past, the size of power system is smaller; therefor the period of oscillation was not much greater than one second. Today large capacity of generator and system interconnected with the greater system inertias and relatively weaker ties results in longer period of oscillation followed by perturbation. These are the situations in which dynamic stability is concern. The enhancement of dynamic stability becomes very important for reliability and continuity of power system. Now power electronic based FACTS (Flexible AC Transmission system) devices are established to enhance the power transmitting capacity and also mitigation of oscillatory period of system at the time of fault. The case study of two area system is taken for analysis. Fault is created for observation of different parameter of machine and transmission system like rotor angle waveform, settling time, voltage of machine, active power of machine and transmission voltage. The different fault analysis says that FACTS controllers help to improve dynamic stability. Among all FACTS devices, UPFC(Unified Power Flow Controller) seen more suitable for enhancement of dynamic stability of two area and multi area system. MATLAB simulation is used to do analysis for different system.


Review Paper on Study on Process Parameters Influencing the V-Bending to Reduce the Spring Back Effect on Sheet Metal
Authors:- Aswath Kumar.U, Gowtham Ram.V, Hari Prasanth.S, Harshavardhana Murugavhel.M

Abstract:- This study, for the first time, experimentally investigates the factors affecting the spring back resulting from the bending of sheet metal materials in V-bending dies. The formability during the V-bending method was experimentally investigated by using sheet metal of thickness 3mm. The process parameters in the experimental studies were determined to be: holding time (0, 5 and 10 s), bending angle ((15^{circ } 60^{circ }, and (90^{circ })),die radius(5,8and 12.5 mm),and punch radius(5,8 and 12.5 mm). The experimental studies are made and the notes for the process parameters of the v bending are tabled.


Architecture of 8086 Microprocessor
Authors:- Akash Singh, Kishan Singh, Aniket Singh, Rahul Yadav

Abstract:- The commercial design engineers primarily studied the 4004, 8008 and 8080 microprocessors for the needs of building control circuits and consumer products until 1971 to 1975. The introduction of the superior 8-bit 8085 microprocessor in 1976 drew the eye of the academicians who were charmed at the architecture and functionality of this chip and that they shortly included it as a course within the curriculum. As a result, the necessity for 8085 microprocessor Learning/Training System was a real demand and Intel released the SDK-85 Learning Kit without detailed design documentation. In 1978, Intel introduced the 16-bit 8086 microprocessor, which also found its place as a typical course at the tutorial institutions. Intel introduced the SDK-86 Kit for 8086 but once again without any detailed design information. The SDKs helped people learning the 8085/8086 architecture and programming but not knowing the planning methodology of a microprocessor learning system. The planning techniques remained within the realm of business companies. What’s most astonishing thing about the massive success of the 8086, though, is how little people expected of it when it absolutely was first conceived. The history of this revolutionary processor could be a classic tale of what quantity a tiny low team of bright engineers can accomplish when they’re given the liberty to try and do their jobs in innovative ways.


Management of Wastewater in Sugarcane Industry
Authors:- Shrikrushna V. Wadodkar,Arun H. Shelke, Samadhan A. Waghmare,Rushikesh S. Ramteke,Gauri L. Patil

Abstract:- Wastewater from sugar industries is one that has complex characteristics and is considered a challenge for environmental engineers in terms of treatment as well as utilization. Before treatment and recycling, determination of physicochemical parameters is an important mechanism. The main aim of this study is to determine the physicochemical characteristics of sugar industry waste water by the standard method and minimize the fresh water consumption in sugar industry by new method/technique. The consumption of large volume of water and generation of organic compound is liquid effluent are major environmental problems in sugarcane processing industry.


The Space E-wastage Satellites are Rebuilt Process in Earth
Authors:- G.Pavithra, S.Shobana, S.Sushma, S.Thanapriya, Asst. Prof. R. Saravanan

Abstract:- The report aims at providing patentbased evidence on the available technologies and the patenting trends in the area ofelectronic waste (e-waste) recycling and material recovery waste, while it is intended to providebackground and supporting information to the Partnership for Action on Equipment under the Basel Convention and computing complement .a large number of satellites and spacecraft will be lifted and sent into orbital this year, and this will enhance our understanding of space and other phenomena on process in the earth that impacts us, including climate change, natural disasters, and agricultural patterns.
With increasing levels of autonomy, there will be a need for remote communication networks to enable communication between spacecraft. Future space missions are envisioned to become more complex and operate farther from Earth which will need to support autonomous operationsimplementing, Inter-satellite communications based on the Open System Interconnection (OSI) model.


Experimental Study on Bio Brick using Bacillus Pasteurii
Authors:- Asst. Prof. K.Priyanka,UG student S.Mohamed Uvais,UG student A.Salman Khan,UG student CK. Ali Murthaza,UG student S.Muhamed Ashir

Abstract:- This article mainly is focus on manufacturing of eco-friendly bricks using bacteria without undergoing natural process such as heating. It is necessary to induce calcium precipitate to convert clay into solid bricks .The bacteria that have been used in this process is a bacillus type of bacteria (Bacillus Pasteurii). Moreover, it supports the idea in this technology can lead to self-healing materials. Hence there was an increase in 4.29% of the bricks made of with cement and bacteria compared to the bricks made by using without cement and bacteria.


A Review Paper on Comparison of Cooling Pads for Evaporating Cooling Heat Exchanger
Authors:- Assistant Professor Naveen Prabhu,UG Scholar A. Dinesh,UG Scholar K. Gowtham,UG Scholar P. Harish Gowtham,UG Scholar V. Jayaprakash

Abstract:- This paper investigates the performance study of the different types of cooling pads made from agricultural waste. The usage of air conditioners and heaters in the buildings and working spaces should control the sensible heat to make comfort condition. Evaporative cooling is one of the energy efficient and eco-friendly air conditioning technologies. There are many advantages in evaporative cooling when compared to other cooling process due to their non- polluting nature. It is one of the suitable ways to cool a workplace or living place, because it uses fresh air to replaces the air time to time to maintain room temperature. Due to this process, air and some allergens are expelled out. It is based on the natural process of air cooling using normal water. However, evaporative cooling requires abundant water and is more efficient only when the relative humidity is low. Experimental and theoretical research works on feasibility studies; performance test and optimization are considered and then reviewed in detail.


Fire Suppression Systems for Vertical Structures and Cost-Effective Solutions
Authors:- Suhasini Pyarasani, P.E

Abstract:- The present study offers a detailed discussion on active fire protection solutions for storage buildings. These storages are to house only storage items while other building service such as water (except for fire suppression use), fuel, gas etc. are not permitted inside these storage facilities. These storages are usually connecting to other storage facilities.
A case study of such storage facility in Connecticut, USA is carried out. The technical and commercial aspects of different possible fire protection solutions are discussed. This paper presents different configurations such as tree systems, grid systems and loop systems, different pipe sizes and different pipe materials are evaluated to provide cost effective solutions for construction costs of fire suppression systems.


Voice Prescription using Augmented Reality
Authors:- UG Scholar Karthikeyan R,UG Scholar Pavithra S,UG Scholar Rajanandhini R,Asst. Prof. Renuga Devi G,Professor Kalaikumaran T

Abstract:- For patients, correct drug information is important. However, patients always do not possess or comprehend professional drug facts. Many drug recognition systems offer keyword searches based on drug names, which may vary from product to product. A more robust form of search would enable users to describe the features of drugs based on their appearance. In this paper we propose a medicine voice prescriber based on Augmented Reality. This is able to reduce drug identification errors as well provide more accurate drug information .It is also able to retrieve the similar drugs, enabling theuser to identify the specific one.


Smart Mirror using Raspberry PI
Authors:- Prachi.R.Handa,Shailesh kumar,A.Kamble,Suvarna.L.Pawar,Neha.A.Salunkhe

Abstract:- The project has a very broad scope covering some current popular topics in the IT sector such as the Internet of Things, Maker culture and home automation. The main idea of this project is to make a smart table which can display our schedule, events, mails, holidays, etc. Smart Mirror Table is one of the applications of Raspberry Pi. A computer screen embedded in mirror looks very futuristic. While looking at mirror you can look at various notifications from social sites as well news, weather forecast and more things. Such mirrors can be programmed to work as AI and control home appliances by voice input or touchscreen.


Experimental Studies of Silica Fume and Sisal Fibre on Performance of Concrete
Authors:- Asst. Prof. M.Sabarinathan,Asst. Prof. S.Mohanraj,Associate Professor V.Murugesh

Abstract:- The main objective of this project is to investigate effect of silica fume & fiber orientation of sisal fiber on performance of concrete ,which ultimately solve the problems of waste disposal & reduces global warming and increase the strength of concrete .India is a developing country, therefore Infrastructure development is necessary for our country and concrete plays a vital role in it. Concrete is the world’s largest consuming material in the construction field. The emission of carbon-dioxide (CO2) in the atmosphere from the operation and maintenance of structures as well as production of building materials can be reduced by using renewable resources and construction materials .Conventional concrete is relatively strong in compression but weak in tension, in order to overcome the weakness the use of a sufficient volume of certain fibers such as sisal fiber is used in this experiment, which is easily available, renewable and economical and enhance many of the mechanical characteristics of the basic materials such as fracture toughness, flexural strength and resistance to fatigue, impact, thermal shock and spalling .The study focuses on the compressive strength, split tensile strength, in 7, 14, and 28 days of curing containing different percentage of sisal fiber and silica as a partial replacement of OPC. The cement in concrete is replaced accordingly with the percentage of 0%, 10 %, and 20% by volume and 0%,1% , 1.5% and 2% of sisal fiber is added by weight of cement. Finally, the strength performance of silica blended fiber reinforced concrete is compared with the performance of conventional concrete.


Smart Crop Irrigation System using IOT and Detection of Leaf Diseases
Authors:- Asst. Prof. Vinoth G, Vignesh K, Vijay P, Lingesh Kumar C

Abstract:- Agriculture plays an vital role within the development of agricultural country like India, China. That can issues the concerning agriculture are always hindering the event of the country like India. The solution of this problem is sensible agriculture by modernizing the present the traditional methods of agriculture using IoT. Hence the proposed ideas to creating the agriculture smart using automation and IoT to detect the plant leaf diseases using various mobile applications. Internet of Things (IoT) enables the various applications like crop monitoring and selection of irrigation time, irrigation decision support and also uses the fertilizer, analysis and update the data in certain report in thinkspeak ad also detect the leaf diseases etc. A Raspberry Pi is predicated to use the automatic irrigation of IoT system is proposed to modernization and improves production of the crop and growth, which main aim of this proposed crop development on low quantity of water consumption, so we can focus the water available to the plants at the specified time for concern level, to avoid the most of the farmers time within their fields. The management of water should be developed, therefore the system complexity be reduced. The proposed system developed the report which sent from the sensors and estimate the water level needed for the soil to concern on the time. The main target of this work is to implement image analysis & classification techniques for detection of leaf diseases. The two sensors are get the info of the humidity and temperature of the soil, duration the sunshine. The systems support the values and calculate the water quantity for irrigation is required for the crop. The main advantage of the system is implementing of Precision Agriculture (PA) with an cloud computing on thinkspeak, which optimize the water scarcity on during summer. The Raspberry-Pi 3 B model and cloud based IoT system obtain the data from crop field. The system mainly focuses the moisture various correlate with temperature changes data by using smart sensors and controls irrigation systems on the field.


Application Development for Stock Maintenance and Billing System
Authors:- Atusha Nahatkar,Ashutosh Parate,Harshal Chauke,Piyush Shirsat,Vaishnavi
Choudhary,M.S.Chaudhari

Abstract:- This paper presents an Inventory Management System designed in Python language. Managing stock is very difficult in supply chain management, that’s why companies should have inventories to maintain the stock. It helps to avoid overstocks, counts the quantity of inventories, finds out the demand. As it becomes really difficult to search the products manually from warehouses because for detailed searching it requires a lot of efforts. To avoid all these problems inventory management is very important because it maintains the stocks and goods and finds out which product is available.Meanwhile, it makes the billing system easier as well. Inventory management system is playing a very significant key role in the supply chain management.


Cyber-Security for Digital Well-Being
Authors:- Assistant Professor Kumkum Saxena, Manav Vikas Bahl (S.E, I.T, Student)

Abstract:- With the advancement in technology, there has been an increasing urgency and need for security with the rising practices taking place unethically. The technology works as a boon only when users are up-to-date with the updates and the people who lack this quality are often a target to various attacks in the cyber world leading to misuse of data and financial scams. Cyber-security takes the limelight in such cases to avoid these unfortunate events which lead to damage over individuals, business and the world at large. This review paper addresses the various cyber-attacks that exist and go unnoticed to a daily user. It also throws light over the procedures of execution of such malpractices and conveys precautionary and effective ways to avoid these cyber attacks.


Link Utilization for IOT Quality of Service using Hybrid swarm in Wireless Sensor Networks
Authors:- Ubaid Yaseen Wani, Abhinay Singh

Abstract:- The wireless sensor networks (WSN) that find its use in various applications of internet of things(IOT) have been regarded as the norm of today’s world. The wireless sensor networks (WSN) as its name suggests have nodes or sensory nodes that have limited energy for operation, because of their limited battery life and their use in certain unreachable places and hence they have been termed as energy-constrained devices.In order to overcome such restrictions it is need of hour to develop such approach whose focus must be on power optimization by using cross-layer coding and also in turn maintaining the quality of service in data trafficking. The data communication with a high level of accuracy in a wireless sensor network has been required, in order to achieve it, it is a necessary condition to have optimal coding which helps us in achieving a maximum level of intelligence with minimum computation. In order to achieve this we have developed a technique based on particle swarm optimization (PSO),which helps in bettering the link parameters that consists of bit error rate (BER), loss, energy and signal to noise ratio (SNR) and side by side restrains, the utilization of energy by wireless nodes. The infrastructure which has been obtained by this, will consist of a low number of sensors, have low cost, can be deployed fastly, having long lifetime, along with low maintenance, and also have high quality of service (QOS). The method used by us has been tested on two channels like additive white gaussian noise channel (AWGN) and rayleigh channel, that shows better quality of service and hence also improves the utilization of link up to a great extent.


Placement Prediction System using Machine Learning
Authors:- Aaliya Perveen Ansar Javeed Akhter

Abstract:- Every student wants a perfect job and every student has their own dream company. But practically it is not possible for everyone to get into their dream company. The reason behind is that students lack knowledge regarding company placement criteria. To solve this issue this paper represents a placement prediction system with the help of Machine learning, in which we have used a support vector algorithm. We will generate one Google form which contains all students performance like there higher secondary marks diploma score communication skills, area of interest and most imp there dream job on that basis we will provide them necessary guidance to achieve their goal we will track there result each year , also their technical interest and will inform them how much efforts they need to take to achieve their dream job. Even if they miss their dream job due to company criteria our proposed algorithm will develop new data where we can suggest another alternation to students according to their achievements , their skills and also give guidelines at every phase.. Hence the future scope and relevance of the system will be discussed.


Design and Development of Fuzzy Based Inverter Controller for Solar/Battery Hybrid Power System
Authors:-Professor Dr.P.Rajendran, Associate Professor S.Kalpanadevi, UG Student K.Radha

Abstract:- In this paper fuzzy PWM based inverter controller is developed for solar-battery hybrid system. Here fuzzy logic controller is developed for the optimum selection of switching angles for harmonic mitigation in proposed cascaded multi level inverter. These inverters are highly recommended for high power application in the past few years. In order to reduce the harmonic distortion and to improve the RMS value in the inverter output voltage the proposed method is recommended. Here the fuzzy PWM control circuit is used for cascaded multi level inverters which generate the triggering control pulses for switches using sinusoidal pulse width modulation (SPWM). Input variables of FLC are error in voltage and output variable as amplitude of reference sine wave. Rule base generated for FLC control the amplitude of PWM Sine wave with respect to error voltage. Here super capacitors are used for charging and discharging applications instead of battery. The inverter output voltage generated in this proposed method reveals fuzzy PWM controller provides output with minimum distortion and better RMS output. The proposed method is simulated using MATLAB / SIMULINK.


E-Smart Health Prediction System using Datamining Tools
Authors:-Professor Dr. Bindu Garg, Aamir Hafiez, Shalini, Mayank Kumar

Abstract:- This project focuses on medicinal field, educational field, research field and various aspects of human’s physical and mental well-being. Due to the advancement of technology all over the world, availability of computers and digital data is in abundance. This data can be used for various purposes to deal with the modern medical problems because such data is not just collected from a single individual rather by a huge data set of individuals. But there is no need to deal with such a huge amount of data at a single time rather only a part of data is actually required for a certain use. Hence the main objective is to use data mining tools to predict an accurate result that can help to improve various aspects of Clinical Predictions which in turn will help society and doctors to get an automated tool to easily predict the disease. The major objective of this paper is to evaluate data mining tools and techniques in medical field to develop an accurate disease predicting application. Data mining is a totally new and advanced field of Computer Science and Engineering which focuses on large data to extract only useful data sets. It is a process of discovering patterns in large data sets involving techniques of Database systems, artificial intelligence, machine learning and statistics. Its overall goal is to extract information with intelligent methods. Thus with the help of data mining an intelligent software can be developed which will be helpful for all the society members.


Analysis of Generic Flexible Manufacturing Systems
Authors:-Research Scholar Yedulla Anil Reddy, Registrar & Professor Dr. G. R. Selokar (Supervision)

Abstract:- A regular Flexible Manufacturing System (FMS) has been considered under Planning Design and Control (PDC) methodologies. The central target is to test the effect of structure technique (steering adaptability) on system execution under arranging methodology (interchange system burden condition) with control methodologies (sequencing and dispatching rules).
A PC reenactment model is created to assess the impacts of previously mentioned procedures eager for advancement range time, which is taken as the system execution measure. Most limited Processing Time (SPT), Maximum Balance Processing Time (MBPT)are the sequencing rules for choosing the part from the info support while for machine determination the dispatching guidelines are Minimum Number of parts in the Queue (MINQ), and Minimum line with
Minimum Waiting Time of all parts in the Queue (MQMWT).


Evaluation of Generic Flexible Manufacturing Systems
Authors:-Research Scholar Yedulla Anil Reddy, Registrar & Professor Dr. G. R. Selokar (Supervision)

Abstract:- A regular Flexible Manufacturing System (FMS) has been considered under Planning Design and Control (PDC) methodologies. The central target is to test the effect of structure technique (steering adaptability) on system execution under arranging methodology (interchange system burden condition) with control methodologies (sequencing and dispatching rules). A PC reenactment model is created to assess the impacts of previously mentioned procedures eager for advancement range time, which is taken as the system execution measure. Most limited Processing Time (SPT).
These heap conditions are Full Balanced Load (FBL), Balanced Machine Load and Unbalanced Processing Time (BMLUPT), Unbalanced Machine Load and Balanced Processing Time (UMLBPT) and Unbalanced Load (UBL) concerning machine burden and handling time. The aftereffect of the reproduction demonstrates that there is ceaseless decrease in make-range with increment in steering adaptability when both machine burden and handling times are unequal i.e., under UBL system condition.


E-Furnishing using Augmented Reality
Authors:-Er. Swati Ganar, Adnan Dahodwala , Mansoor Bagwala, Tahir Kadiwala

Abstract:- Our Approach seeks to support interaction with real-world so, to ensure the best place position, model and colour for an object into a real-world. By contrast, Augmentation is conventionally in real- time and in semantic context with environmental elements The disadvantage of the existing system was to use markers closer to users in order to generate good results otherwise the system suffers performance degradation. Therefore, the proposed system will try to achieve an Augmented Reality with an instant marker, which will eventually reduce the burden of carrying the marker each and every time closer to objects.


Production of Biosweetner from Stevia Rebaudiana and Feasibility of Incorporating it in Fruit Juice
Authors:-Assistant Professor Gowthami S, Professor Baskar R

Abstract:- Biosweetner, a sugar substitute was extracted from the leaves of the plant species Stevia rebaudiana. Stevia leaves naturally contain a complex mixture of eight sweet diterpene glycosides including stevioside, steviolbioside, rebaudioside (A, B, C, D, E) and dulcoside. The main constituents present were glycosides such as stevioside, steviol and rebaudioside A and B. Fresh Stevia leaves contain a large amount of water 85%. Stevia leaves and steams having several nutritional components such as vitamins, carotenoids, flavonoids, anthocyanin and other phenolic compounds. Stevia is a flavor enhancer and it is 300 times sweeter than sucrose. Stevia is non calorie sweetener. It is stable on low pH. Stevioside can be used as medicine for treating diabetes patients, fighting obesity, preventing tooth decay, preventing throat cancer. Stevia attract to people on carbohydrate-controlled diets. Stevia leaves are dried and powdered by mills. Powdered stevia leaves extracted with different techniques and water as using solvent because it not produce harmful effect to products. Ultrasound assisted extraction condition: temperature 30 to 50 ̊C, time 10 to 30 mins. Microwave assisted extraction condition: power 240 W, time 2 mins. Stevia extract collected and analysis for nutritional values. Glycosides level analysis by HPLC method in hydrophilic column. Crystals of Stevia extract were obtained using evaporative cooling technique. The stevia extract or crystals can be incorporated into the food products like cake, biscuits, soft drinks, and Milk products. In this study stevia extract incorporate in fruit juice.


IOT Based Smart Parking using Fastag
Authors:-Asst. Prof. Kirubhakaran T, Sabarish K, Nishanth K S, Nithish Kumar S

Abstract:- In fast growing world the trends and technologies had been improved a lot. In that population also plays a important role, in this India is the second growing population in the world ranking status. In India one family requires two vehicles that had become a paramount of their life, here traffic congestion became major issue and so parking space are low and that has less requirement for the emptors. For this we consent an IoT that every work today had been done through internet. So that only solution is the smart parking based IoT. Smart parking is a good idea of how the Internet-of-Things (IoT) will be pervasively deployed in our daily living environments to different users, hence the proposed idea is to make the parking easier by detecting and monitoring, security, locate and reserve parking lot using IoT then display the result. An Arduino Mega is based on the automatic control of parking system by using codes. The main aim is to reduce the traffic congestion and to make the parking easier with low and efficient technology. In order to focus on the parking by reducing traffic congestion with less time requirement. The proposal of the smart parking system is that gain information of parking area and book the parking lot and tag by using webpage. In that particular parking area, the sensor detects the vehicles the information given to the main gate of the parking lot and then display in the LCD and tag is read byRFID Tag reader. So that particular car is checked and parked in the particular lot. The Node MCU is used for the purpose to build an IoT product and allows the simple and powerful program in WIFI module with the Arduino IDE software. The main advantage is that reduces time for parking the vehicle, cost efficient and security control.


Fire Detection System using Video Surveillence Based on Facenet
Authors:-Dr. V. Subedha, G.Akash, N.Lokesh,P.Sasikumar

Abstract:- An accidental fire is a mishap that could be either man-made or natural. Accidental fire occurs frequently and can be controlled but may at times result in severe loss of life and property. Fire detection using hand-crafted features is a tedious and time-consuming method. The accuracy of the existing system using Alex net is 78% to 92%.The Project main idea is to detect the fire as soon as possible .The main concept used in the project is facenet pertained model. It is recognition technique to detect the fire on the surroundings. It uses smaller convolutional kernels and contains no dense, fully connected layers, which helps keep the computational requirements to a minimum. Despite its low computational needs, the experimental results demonstrate that our proposed solution accuracies that are comparable to other, more complex models, mainly due to its increased depth. The embedded processing capabilities of smart cameras have given rise to intelligent CCTV surveillance systems. Fire is the most dangerous abnormal event, as failing to control it at an early stage can result in huge disasters, leading to human, ecological and economic losses. Inspired by the great potential of CNNs, propose a lightweight CNN based on the SqueezeNet architecture for fire detection in CCTV surveillance networks. A Project approach can both localize fire and identify the object under surveillance. The accuracy of the system using Facenet is 98%.


Comparative Analysis of Session Features in Session Hijacking and Performance Improvement using OTC
Authors:-Niki Modi

Abstract:- Many web applications are vulnerable to session hijacking attacks due to the insecure use of cookies for session management. The most recommended defense against this threat is to completely replace HTTP with HTTPS. However, this approach presents several challenges (e.g., performance and compatibility concerns) and therefore, has not been widely adopted. In this paper, we propose “One-Time Cookies” (OTC), an HTTP session authentication protocol for improving session hijacking features, easy to deploy and resistant to session hijacking. OTC’s security relies on the use of disposable credentials based on a modified hash chain construction. Our experiments demonstrate the ability to maintain session integrity with a throughput improvement over HTTPS and a performance approximately similar to a cookie-based approach. In so doing, we demonstrate that one-time cookies can significantly improve the security of web sessions with minimal changes to current infrastructure.


Water Spider Monkey Optimization Algorithm for Trust-based MANET Secure
Routing in IoT

Authors:-Sunita Nandgave-Usturge,Dr. T Pavankumar

Abstract:- In Mobile Ad-hoc Network all nodes are moving continuously. Due to dynamic topology routing in MANET is challenging. Nodes are resource constraint so difficult to employ security solutions. Proposed security scheme has two phases, first phase is bi-filtering and other phase is routing. In bi-filtering phase different parameters are used such as direct trust, indirect trust, and historical trust etc. in identifying a secured node. Thus in bi-filtering phase important nodes are filter out for communication. The trust of the nodes evaluated and only the nodes with high trust factor involved in the secure communication using optimization, after identification of secure nodes in next phase routing is done by proposed hybrid optimization algorithm namely, Water Spider Monkey Optimization (WSMO). WSMO, which again finds the better path based on the trust and other factors, like distance, delay, and the overhead parameters so that the security will be further enhanced. This paper addresses a new optimization will be developed based on the WWO and SMO so that the routing in MANET shall be done for which the fitness will be the security factors of the nodes in the network.


Development and Evaluation of Spinach Extarct OAT Flakes
Authors:-Asst.Prof. Neethu C.S ,Sneha Vasudevan Nair,Arundhathy Shabu,K.S Gokul Raj,Shinaz Mehaboob,Meljo Paul,Aiswarya Pani

Abstract:- Oat is well famed for being abundantly nutritious and possessing a wide range of health benefits including decrease in cholesterol levels, improvement of blood sugar control and significant weight reduction. This is primarily because of high concentration of soluble fibers present in oats, mostly a fiber called beta – glucan as well as insoluble fibers such as lignin, cellulose, and hemicellulose. One such product that can be developed is oat flakes which can be made from powdered oat with appropriate proportion of spinach extract, subsequent baking and shaping into flakes. Consumption of spinach enhances eye health, reduce oxidative stress, restores energy, and lower blood pressure levels. The Phytochemicals present in spinach is responsible for anti-inflammatory and anti-cancerous properties. A breakfast cereal meal comprising oat and spinach extract will be an exceptional wholesome food duo for people of all ages and with addition of various flavoring compounds like cocoa to the flakes, it can be made appealing to the adults as well as the children. In this study sensory, nutritional analysis and microbiological property of developed products was investigated. We have emphasized the utmost utilization of nutritive potential of oats and spinach in this developed product.


A Review Article of Partial Discharge Analysis of HV Transformer
Authors:-Neha Sahu (M.E.), Associate Professor Arun Pachori

Abstract:- Electrical networks of power transmission practically deals in the bulk transfer of electrical energy, from generating stations situated many kilometers away from the main consumption centers or the cities. For this reason the long distance transmission cables are of utmost necessity for effective power transfer, which in-evidently results in huge losses across the system. The Reliable electrical network is one that transports the energy with minimal power losses, losses partial discharge effect represent one of causes that hinder reaching this performance in HV lines are either permanent mode or in the transient mode. In this Works we present the phenomenon of partial discharge and its behavior in different climatic and atmospheric conditions such as rain, humidity, the dust, the sand, dry weather of the one part and over-voltages induced by strokes lightning. We deal in this paper, the influence of the partial discharge under these different conditions on the power losses in the power lines and the proposal of a new model of three-phase line with transient partial discharge.


Solar Operated Triple Discharge pump using Epicyclic Gear Train
Authors:-Lecturer Ashish Kamble,Hod Vijay kale Ritik Rahangdale,Omprakash Jha,Vishal Rode,Bhushan Choudhary

Abstract:- In many industrial applications it is required to drive the actuators, hydraulic cylinder or hydraulic motors at variable speed this is only possible by variable discharge from One method employed is to use a pump of higher discharge capacity, but higher capacity means higher cost and higher power consumption hence there is need of special pump system at low cost so that the requirement of variable discharge is met easily with out much cost and setup. This project deals with the design of such pump systems and its calculations. Providing clean, environmentally safe livestock in sufficient Quantities continues to be a major concern for industries. A solar powered Oil pumping system designed for actuators, hydraulic cylinder or hydraulic motors was operated to determine the performance and reliability of the system and components. The system began pumping oil when the solar radiation intensity exceeded. Flow increased linearly with radiation intensity and reached a maximum flow of intensity. Maximum flow was dependent on using the correct controller adjustment as well as the radiation intensity. Solar oil pumping system operates on direct current. The output of solar Power system varies through out the day and with changes in weather conditions. Photovoltaic module, the power source for solar pumping, have no moving parts ,requires no maintenance and last for decades. A properly designed solar pumping system will be efficient, simple and reliable. Solar powered pumping systems are used principally for three applications in industry, water supply, live stock watering and irrigation.


A Review on Suspicious Attack Detection
Authors:-Ranu Dilware, Asst.Prof. Dr Dev Kumar Rai, Dr. Akhilesh Upadhyay

Abstract:- Wireless Sensor Networks (WSN) is a drifting innovation inside the present time and contains a major choice of utilizations, for example, front line observation, traffic reconnaissance, woodland fire recognition, flood location and so forth. A few scientists have led very surprising location strategies and calculations to proposed contrasting sorts of discovery plans. Wireless sensor end up being such a lot of common in numerous fields in view of its handiness in military, current region and so on. The blackhole nodes will dispatch blackhole attack to save its asset or to perform attack that decrease the system. Right now, the current arrangements and talk about the best in class steering strategies. This paper audits the current condition of workmanship strategies to identify the blackhole attack in Wireless Sensor Networks.


Non-Linear Performance of Multi-Storey Flat Slab System with Structural Wall and Perimeter Frames
Authors:-PG Student Shanmugapriya C, Asst. Professor Nithyambigai G

Abstract:- Flat slab system is the most desirable system in the construction of concrete structures due to its added advantages like faster construction, cost effective, clear floor to floor height, larger utilization space by nourishing architectural and MEP intent. Even though the Flat slab system is a proven gravity floor system, it was a most susceptible floor system owing to the nonappearance of lateral load resisting moment frames. Flat slab system in combination with structural wall and perimeter frames offers a stable structural system showing greater response to seismic ground motion. The structural walls often commonly referred as shear wall will possess greater lateral stiffness due to its large in-plane stiffness and strength. In this study a 10 storey commercial building located in Seismic zone – III, comprises of flat slab with a structural wall and perimeter frames are considered for linear analysis and non-linear analysis using FEA software known as ETABS. The model was subjected initially with linear static and dynamic analysis based on the latest provisions practiced by IS 1893:2016 and the structural response like natural time period, base shear, displacement, Lateral drift, storey-drift and slab-column shear capacity will be studied and designed based on Indian codal recommendations. Later the Non-Linear static analysis (NLSA) is performed with respect to the maximum displacement and Non-linear Time-history analysis is performed with Fast Non-Linear Analysis (FNA) method. Corresponding building performance point, structural performance level and the failure behavior of the structural component is observed. From the observation the ultimate performance of the flat-slab structural system is endorsed with respect to the Indian codal provisions.


Devolopement of Geopolyer Concrete by using Different Ingredient at Ambient Temprature
Authors:-Lecturer Shveta A. Bandabe , Omkar P.Patil , Koustubh B. Waingankar, Yash S. Patne, Prof. S.S.Patil

Abstract:- Concrete is the most important aspect in present scenario. All the construction is being done with the help of this binding material. Use of cement is rising on the peak from the last few decades due to enormous demand of construction of mega structures. In addition to that cement is the only material whose demand is increasing day by day in order to meet the needs of mankind. Subsequently the price of cement is also increasing as its demand is increasing profoundly and also it available limited only. Manufacturing of cement results in emission of CO2 and other gases which contribute in global warming and which further contribute in climate change and thus it is one of the most complicated material. Its use cannot stopped but can be limited by using various materials. Compressive strength and water absorption tests were carried out after consequent 7, 28 days respectively.


Digital Voting System using Blockchain Technology
Authors:-S.Kayalvili, P.Keerthana, P.Manickam, G.Archana

Abstract:- Traditional voting systems should be computerized to cut back the vote counting time, to supply evidence that a vote is being correctly accounted, to cut back fraud, remove errors in filling out ballots, to enhance system usability for people with special needs. E-voting increasingly replacing traditional paper based systems. This raises several security issues, providing democratic principles depend upon the electoral process’s integrity. An electronic voting system must make sure the voter’s authenticity, anonymity. It must also ensure audit ability in an exceedingly software or hardware environment that would malfunction. During this System the fingerprints of all voters and details are stored before the election. The voters must register their fingerprints on the day of election through online. This can be compared with the already stored prints. If both matches their votes are be taken in to the account and if not their vote will be discarded. So, nobody one can vote for others this can reduce the illegal votes. User can view all the nominees in their district with their corresponding party symbols. They can also view what percentage votes are registered before they are visiting register their votes, this might be useful to understand the leading result.


Study on Flowable Concrete from Marsh Cone Test
Authors:-Asst. Prof. R.Vinodhkumar, Asst. Prof. P.Vinodhkumar, Asst. Prof. E.Senthil Kumar

Abstract:- In order to satisfy various performance requirements of concrete, admixtures are being used in concrete. The active constituent of concrete is cement paste and largely it determines the performance of concrete. Thus the compatibility of superplasticizer on both Portland Pozzolana Cement and Ordinary Portland cement is studied by performing Marsh Cone Test. Thus the optimum dosage of the superplasticizer is found. The water cement ratio was varied from 0.6 to 0.35 and the amount of admixtures i.e. the super-plasticizers are varied from 0 to 2%, to make a comparative analysis on the effect of admixture.


Multi-Model Attribute Generator (MAG). A Deep Learning Method for Attribute Label Generation for Images
Authors:-Matthew Charles Millar

Abstract:- This paper looks to create a system that will allow for accurate automatic generation of labels for image data of people designed explicitly for ReID problems. There is a lack of research on attribute data generation for images, especially in ReID datasets. Most attribute data are hand-generated and not created from a network. This approach is labor-intensive and prone to errors as well as costly and time-consuming. This paper utilizes a unique method of multiple models to generated separate portions of the attributes for each image. The combination of multiple models allows for a highly accurate method for labels for attributes to be generated. The MAG system has shown to be accurate for particular attribute generation. Gender, Upper-body clothing type, and Object detection are incredibly accurate. While, the other attribute each has outstanding accuracy, just not to the same level as the top three models.


Footstep Electricity Generation by Using Piezoelectric Sensor

Authors:-Aditya Chauhan, Abhishek Vashishtha, Adil Rayees Ansari, Akshat Joshi, Ankit Meena

Abstract:- Human civilizations have been using electricity since last 18th century according to the pace of invention of equipment and later industrialization gave the boom to extent of its use. The aim of this paper is to present a suitable method which can employ the waste energy i.e. energy which is being lost due to human locomotion to produce electricity using piezoelectric sensor (PES). While observing the large energy demands in highly populated countries like INDIA,CHINA,AMERICA energy generation through the non-conventional source is of prime concern .Piezoelectric sensor are used so that the human locomotion energy is concentrated and confined to use according to the demand. The energy stored can easily be used for domestic application.
This framework being used at public places such as platforms, footpath, temples, ticket counter can proved to be of great significance for the mankind and also the mother nature as this method of electricity does not required any fossil fuel .
Our innovation can be made industrially relevant particularly in remote area where it is uneconomical to transmit electricity by traditional means.


Smart Charging Station
Authors:-Asst. Prof. G.Vinoth, Asst. Prof. S. Mohammed Harris, UG Scholar M.K.Reshmashree, UG Scholar G.Thamarai selvi, UG Scholar N.Jeevitha

Abstract:- Solar energy refers to capturing the energy from the sun and subsequently converting it into electricity. We can use that electricity to light up the street, homes and business and power our machines as well. Solar energy is today used in number of ways; as heat for making hot water, cooking and generate the electricity with solar cells or heat engines and to take salt away from the sea water. Electric vehicle is one which is operated by electric energy, instead of internal combustion engines or gases for power. Electric vehicle is used in order to avoid the ozone depletion, global warming, and depletion of fuel and mainly to avoid pollution. PV (Photovoltaic) systems are one of the abundant renewable energy to produce electricity, green, pure and source of energy where power is generated from sunlight converting into electricity by the use of PV solar cell. Here we are developing a solar based coin charging station for electrical vehicles and overcome the disadvantage like charging method and cost. This type of system can use at public places like Bus station, Railway station and also rural areas. This station primarily used for charging the EV and secondarily for charging the electronic devices like phone, laptop, batteries.,etc.


Nigeria Construction Industry Leadership Style and Adaptability Effectiveness: A Case of Civil Engineers
Authors:-Idiata, D.J ,Ehigiamusoe, B.U , Osagie, E.K

Abstract:- The construction industry is an industry that affords various professionals to work together is delivering a project on time, within cost and at the best quality, in other to achieve this leadership plays a critical role in the overall success. This study focuses on the use of Hersey and Blanchard’s Situational Leadership Model which are telling, selling, participating and delegating styles to assess the type and style of leadership predominant among civil engineers in the Nigerian construction industry. From the study it is observed that among civil engineers the most popular leadership style is the selling type with 72 percent and the next is the telling style with 20 per cent and the most unpopular of the styles is delegating with no one subscribing to this type. The selling leadership style is when the leader directs and closely supervises task accomplishment, but also explains decisions, solicits suggestions and supports progress. This style of leadership tends to promote interaction and communication between the leader and the led fostering team work and understanding.


Under Water and Underexposed Image Enhancement via Image Reduce Hazing Algorithm
Authors:-Dr. V. Subedha, M. Purushothaman, R.Tinakar, S.Sunaichandran

Abstract:- Underwater and Underexposed image processing is an intelligence research field that has great potential to help developers better explores the underwater environment. Underwater image processing has been used in a good kind of fields, like underwater microscopic detection, terrain scanning, mine detection, telecommunication cables, and autonomous underwater vehicles. However, underwater imagery suffers from strong absorption, scattering, color distortion, and noise from the artificial light sources, causing image blur, haziness, and a bluish or greenish tone. The large quantities of suspended particles in atmosphere cause scattering of light before it reaches the camera which corrupts the outdoor image quality. It is an annoying problem to photographers as it changes the colors and reduces the contrast of daily photos. Therefore, the proposed system removes the haze and enhances the input image. The enhancement can be divided into 2 methods, underwater image de-hazing and underexposed image color restoration. This Project presents the reason for underexposed image degradation, surveys the state of the art intelligence algorithms like image reduce hazing algorithm. The proposed algorithm uses two different de-hazing Dark Channel Prior (DCP) methods, Simple DCP and Approx DCP to reduce haze in an image. The de-hazing algorithms in imreduce-haze estimates the atmospheric light using a dark channel prior, Estimates the transmission map, Refine the estimated map, Restore the image and Performs optimal contrast.


Innovations in the Sphere of Ventilators—Arsenal to Fight COVID-19
Authors:-Soniya Gupta

Abstract:- The predicament arising with the COVID-19 pandemic has ravaged fragile healthcare systems across the globe. A sudden surge in medical equipment presents many issues, including a shortage of PPE and trained staff, but one issue that is particularly relevant for battling the current situation is the lack of ventilators to properly care for a patient. This acute shortage of ventilators and respiratory equipment has unleashed a wave of innovations at the product, process and organization level. The report aims to present the phenomenal acceleration in innovation across the manufacturing and healthcare sector for the development and well as use of ventilators post coronavirus crisis. This concise review presents an analysis for the innovational developments and past impediments to these technological advancements.


Automatic Letter Writing Machine
Authors:-Dean of academic, Prof. Dr. Ir Asokrajkumar.m, Ranganathan.C, Sathiyaraj.R, Siva. A , Srinivasan.R

Abstract:- In this project “AUTOMATIC LETTER WRITING MACHINE” for accurate building drawing. The main components are Arduino controller, pen writer, Stepper motors, Servo motor, motor drivers and Transformer. This whole system is working based on source codes. Drawing perfect sketch by hand can now be done by machines too. Here we propose an automated image sketching machine that sketches drawings similar to a copy of art /letter but with a lot more accuracy. The proposed system makes use of an Arduino based circuitry that is interfaced with motors and belt- based setup that is used to provide the mechanism needed by a pen to draw the sketch. The Arduino based circuit is interfaced with 2 stepper motors and one servo motor in order to transmit the movement commands as per the image fed to it. It then controls the sketching process through a well-controlled mechanism in order to achieve this task. The pen only touches the paper where a line is to be placed is raised above the paper by the motor where not needed. This motion coupled with the x and y axis movement of the motors allows for a 2D sketching mechanism on the paper free theory the Grammy letter and entire art .


A Review of Bandwith Utilization
Authors:-Minakshi Dilware, Assistant Professor Dr. Shivangini Morya,Prof. & Dean Academics Dr. Sudhir Agrawal

Abstract:- Remote correspondence has multiplied because of the monster growth of PDAs, cell phones, tablets and workstations and so on. Sight and sound applications, for example, live recordings, sounds, despite everything pictures, vivified designs and live interchanges all requires backups of nature of administration just as solid start to finish move of information. Data about the accessibility of assets in divert is should so as to improve the QoS. QoS can be resolved regarding limit of channel, accessible data transmission, and mass exchange limit . Data transfer capacity accessibility is a key check for improving the QoS in a system. The exhibition of an interactive media application is straightforwardly influenced by the transfer speed accessibility. One of the most significant QoS trademark is ABW at a remote course and it very well may be divided as least unused limit of connections initiating a system course. Since now there have been numerous data transfer capacity estimation procedures are accessible in the writing to expand the system execution. Transmission capacity estimation procedures have been organized into three driving arrangements: I) Active examining data transfer capacity estimation strategies, ii) Passive transmission capacity estimation method and iii) Model based data transfer capacity estimation procedures. Every one of these methods are quickly examined in this paper.


Door Unlocking System using Fingerprint Sensor for Home Automation
Authors:-Ganesh Sahithi Murru, Chetan Kakollu, Ashok Kumar Kenguva, P. Surya Chandra

Abstract:- Security is a major issue faced by everyone when we are away from our house. Smart use of various control systems for operating purposes plays a prominent role in providing the security needed. A particular door or a locker can be accessed by a person in many ways. In such a situation, a system that checks for authorization is needed to provide security for the door or the locker. In the modern era we are having many evolving technologies that provide security mechanisms. One of such mechanisms is based on the fingerprint recognition that involves abstraction of the image from the user and grant permission for accessing the door. This mechanism prevents unauthorized users from accessing the door. A validating mechanism that checks the data from a fingerprint sensor and sends an alert message to the admin user in case of continuous mismatch. The major components used to design such a security system include Arduino Uno Board, Solenoid lock, 12V Adapter, R307 Fingerprint Sensor, Tip 122 Transistor.


Impact of Peer Learning and Learning through Networking Sites on the Achievement of Undergraduate Students
Authors:-Research Scholar Amitabh Saxena, Prof. Dr. Sitesh Kumar Sinha

Abstract:- The present paper reports the study conducted to gauge the impact of peer learning and learning through networking sites on the achievement of undergraduate students. The objectives of the study are a) to study the level of achievement of undergraduate students; b) to study the level of achievement of students from peer learning group and social networking group; c) to study the effect of treatment, gender and their interaction on the achievement by taking intelligence as covariate; and d) to study the effect of treatment, type of institution and their interaction on the achievement by taking intelligence as covariate. The present study is an experimental study where Posttest-Only Random Group Design is utilised. The sample consisted of 183 undergraduates from government and private institutions of Bhopal which were randomly assigned to peer learning group and social networking group. The peer learning group had face to face interaction while the social networking group collaborated on social media platforms on selected topics. The results revealed that students belonging to the social networking group were found to have significantly better achievement than those of peer learning group when Intelligence was taken as covariate. Female undergraduate students were found to have significantly higher achievement than the male undergraduate students when intelligence was taken as covariate. Private undergraduate students were found to have significantly better achievement than government undergraduate students when intelligence was taken as covariate.


Monitoring, Analytics, And Optimization Of Distributed Computing Environments

Authors: Sneha Prakash

Abstract: Distributed computing environments have emerged as the foundational backbone of contemporary digital ecosystems, enabling large-scale, data-intensive, and latency-sensitive applications across cloud computing, edge computing, and hybrid infrastructure models. The rapid growth of distributed architectures—characterized by horizontal scalability, geographic dispersion, virtualization, and microservices—has significantly increased system complexity. As these environments expand in scale and heterogeneity, ensuring effective performance management, fault tolerance, resource utilization efficiency, and operational cost control becomes increasingly challenging. Consequently, robust mechanisms for system monitoring, observability engineering, real-time analytics, and adaptive optimization are no longer optional enhancements but essential components of resilient distributed system design. This review provides a comprehensive and structured analysis of contemporary approaches to monitoring architectures, observability frameworks, and analytics-driven optimization techniques in distributed computing ecosystems. Monitoring strategies are systematically categorized into infrastructure-level monitoring, application performance monitoring (APM), network monitoring, and security monitoring, highlighting their distinct roles in maintaining operational visibility. The evolution from traditional reactive monitoring toward proactive and intelligent AI-driven observability (AIOps) is examined, emphasizing the integration of metrics, logs, and distributed tracing as the three foundational pillars of modern observability. The review further explores advanced data analytics methodologies, including real-time stream processing, event-driven architectures, time-series analysis, anomaly detection algorithms, and machine learning-based predictive modeling. Special attention is given to reinforcement learning-based autoscaling, predictive capacity planning, and root cause analysis automation, which collectively enhance proactive system management. Optimization strategies are critically evaluated across multiple dimensions, encompassing dynamic resource allocation, load balancing mechanisms, cost-aware scheduling, multi-cloud optimization, serverless efficiency models, and energy-aware workload placement. These approaches are analyzed in terms of scalability, computational overhead, economic sustainability, and environmental impact. Persistent challenges in distributed system management are discussed in depth, including the scalability of monitoring frameworks, alert fatigue reduction, telemetry data security, multi-cloud interoperability, and observability in ephemeral containerized environments. Emerging research trends such as autonomous self-healing systems, edge analytics for IoT ecosystems, eBPF-based kernel observability, digital twin simulations, and carbon-aware computing strategies are examined as transformative directions shaping next-generation infrastructures. This review identifies critical research gaps in cross-layer observability integration, standardized telemetry governance, AI explainability in AIOps systems, and sustainable infrastructure optimization models. By synthesizing state-of-the-art methodologies and highlighting open research questions, this work provides researchers, system architects, and practitioners with a rigorous framework for designing intelligent, adaptive, and self-optimizing distributed computing environments.

DOI: http://doi.org/10.5281/zenodo.18670139

 

 

Architectural Patterns For Scalable And Secure Enterprise Applications

Authors: Rahul Nair

Abstract: Modern enterprise applications operate within highly dynamic digital ecosystems characterized by exponential data growth, geographically distributed users, hybrid cloud infrastructures, and continuously evolving cyber threats. In this environment, systems must sustain massive transaction volumes, ensure near-zero downtime, and defend against increasingly sophisticated security vulnerabilities. Traditional monolithic architectures, while historically effective for smaller and centralized deployments, often lack the elasticity, resilience, and security modularity required to meet contemporary enterprise demands. Their tightly coupled structures limit independent scalability, complicate deployment cycles, and expand the risk surface during system updates or failures. To address these challenges, modern architectural paradigms have shifted toward distributed, modular, and cloud-native approaches. This review critically examines foundational and contemporary architectural patterns that support scalable and secure enterprise systems, including Layered (N-Tier) Architecture, Service-Oriented Architecture (SOA), Microservices Architecture, Event-Driven Architecture (EDA), and Serverless Computing Models. Each pattern is analysed in terms of structural organization, scalability mechanisms, security implications, operational complexity, and adaptability to cloud environments. Particular emphasis is placed on horizontal scalability, fault isolation, loose coupling, and infrastructure abstraction as core design principles enabling enterprise resilience. In addition to structural architectures, this review explores enabling security-centric practices and cross-cutting operational strategies such as API Gateway integration, Zero Trust Security frameworks, and DevSecOps methodologies. These approaches embed authentication, authorization, continuous monitoring, automated vulnerability scanning, and secure deployment pipelines directly into architectural workflows, thereby reducing attack surfaces and ensuring regulatory compliance. The interplay between architectural design and security enforcement is examined to highlight how proactive integration of security controls enhances system robustness without compromising performance. Furthermore, this study evaluates architectural trade-offs concerning scalability efficiency, security complexity, governance requirements, and operational overhead. Real-world enterprise adoption trends are discussed to illustrate how organizations strategically combine multiple patterns—such as microservices with event-driven communication or serverless components within hybrid cloud environments—to achieve optimal performance and resilience. Emerging advancements including service mesh technologies, AI-driven threat detection, and confidential computing are also considered as future enablers of scalable and secure enterprise systems. By synthesizing structural patterns, operational practices, and evolving technological innovations, this review provides a comprehensive framework for understanding how enterprises can design, implement, and sustain robust digital platforms in increasingly complex environments.

DOI: http://doi.org/10.5281/zenodo.18670147

Removal Of Toxic Heavy Metals From Contaminated Industrial Wastewater By Adsorption Techniques

Authors: Dr. Ekata Singh

Abstract: In the environment and the world of heavy metals discharge into water bodies is still a serious environmental and public health issue, especially in areas of heavy industrial activity. Electroplating, metal finishing, mining, tannery, battery, textile and pigment industry wastewater has toxic levels of lead, cadmium, chromium, nickel, copper, zinc, arsenic, and mercury. These metals are not biodegradable and are commonly deposited in sediments, biota and food chains, and hence pose a greater environmental risk as well as human risk. Adoption of adsorption is one of the most effective ways to remove heavy metals, and the low concentrations, low cost and economic feasibility of adsorption make it the current best treatment method. The heavy metals are present in industrial effluents, and adsorption can be considered as a treatment strategy with lower cost and renewable adsorbents. The performance of activated carbon, natural minerals, agricultural by-products, biosorbents and new nanostructured materials is evaluated in terms of adsorption capacity, removal mechanism, regeneration and real-world applications. pH, contact time, adsorbent dose, competing ions and surface chemistry are also addressed. There is solid evidence that many of the low-cost adsorbents are capable of metal uptake in laboratory settings, but still, a huge amount of work remains on scaling, regeneration efficiency, stability in complex effluents, and disposal of spent sorbents. A great deal of progress in the future will be to compare results, to have realistic wastewater testing, and to integrate adsorption into circular and resource recovery-based treatment processes.

DOI: https://doi.org/10.5281/zenodo.19478874

Resilient Real-Time Streaming Architectures For Enterprise Transformation

Authors: Sophia Bennett, Ethan Walker, Grace Phillips, Daniel Mitchell, Chaitanya Srinivas, Rishi Kumar

Abstract: The rapid growth of digital enterprises, cloud-native technologies, and real-time analytics has significantly increased the demand for resilient data streaming architectures capable of processing high-volume, low-latency data across distributed environments. Modern enterprise transformation initiatives rely heavily on real-time streaming platforms to support intelligent decision-making, operational automation, predictive analytics, and continuous business monitoring. This research examines resilient real-time streaming architectures designed to enhance enterprise scalability, fault tolerance, operational continuity, and data-driven decision systems within dynamic cloud ecosystems. The study explores core streaming technologies including Apache Kafka, event-driven architectures, distributed messaging systems, stream processing frameworks, and cloud-native orchestration platforms that enable reliable real-time data movement across enterprise infrastructures. Particular emphasis is placed on architectural resilience mechanisms such as replication, partitioning, load balancing, failover recovery, observability, and distributed fault management that ensure uninterrupted data processing and high system availability. The research further investigates governance, security, and compliance considerations associated with enterprise streaming environments, including data integrity, access control, encryption, monitoring, and operational governance within multi-cloud and hybrid infrastructures. Evidence mapping techniques are utilized to analyze deployment strategies, operational performance, scalability patterns, and resilience contributions of modern streaming architectures across enterprise domains such as finance, healthcare, retail, telecommunications, and industrial automation. The findings demonstrate that resilient streaming frameworks significantly improve organizational agility, operational intelligence, business continuity, and real-time decision capabilities while enabling enterprises to accelerate digital transformation and maintain competitive advantage in rapidly evolving technological environments.

DOI: http://doi.org/10.5281/zenodo.20607778

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Best Impact Factor Journals

Uncategorized

International journal publication is prior requirement for getting higher education degree from any reputed college / university. As number of journals increases with time so selection of good journal is done by estimating its Impact Factor value. This value is calculate by finding the number of publication in a year, number of published paper citation, publication frequency, etc. Hence Best Impact Factor Journals are prior requirement of mentors when scholars looking for the publication of their research work. Publication offers many advantages such as it validate the work done by author which include proposed algorithm or steps or combination, other benefits of this publication is to globalize this work to other people working in same field of research. Author can submit their survey, review, research letter in a international journal. Publication of journal is depend upon the reviewer comment, where reviewer are expert of particular field of research read paper share their comments to further increase the paper quality. So a good reviewer team also help to increase the international journal impact factor. Some of important points for scholars to check the best impact factor journals are mention below:

Research / Survey Paper Submission

Paper Publication Charges

  1. International Journal should have age of four year, as old journal increase impact factor value.
  2. Citation of paper also increase the journal paper quality.
  3. Author should check the indexing of journal as well, some of sites provide separate link for the indexing of journal.
  4. Impact factor were provide by the authorized sources or agencies. Most of them provide this indexing value for a year.
  5. Submission form should be there for paper submission.
  6. Publication charges of the papers with limitation of number of pages, number of author and area of research are specified.

It is suggested for all young scholar / author to take advise of your respected mentor / guide before paper submission.

Published by:

Journals with High Impact Factor

Uncategorized

Publication of research paper in a journals with high impact factor is always a dream of young or budding scholars. Hence searching of those journal is a tough task if guide or mentor do not mention any criteria or features as well. This article help these scholars to select correct journals having good and valid impact factor count. International journal should have ISSN number if publication is on site than E-ISSN is there, while if publication is hard than P-ISSN number is there. Second point authors should check in a site is that it should have at least 4 volume, in other word  journal should be four year old. Age of journals help to filter international publication who are sincerely working, one more thing is that author can check some of its random issue where each issue should have papers.

Submit Your Paper 

Check Publication Charges

Third is Impact factor as per journal paper quality other author use these papers in there reference for there content validity this increase there impact factor value. Hence journal have good quality indexing if high quality work was filter by the journal reviewer. Fourth quality of journal is its internal team which responsibly attend there jounal visitor in form of author or reader, this team will guide new author in there paper submission, update there paper status, reviewer comments, etc. Finally fifth point is publication time and charges it might possible that that charges may be zero or have some bugs (money), so if author looking for free publication than check publication charges paper. Some of journal takes charges after sending the acceptance mail. Hence “Journals with High Impact Factor”  have following set of points:

  1. Valid Impact Factor
  2. Six Year Old Journal
  3. 3.24 Impact Factor
  4. Seven Days working Team
  5. Publication Status in a Week
  6. Charges of Publication Depends on Reviewer Comment. Good paper have low charges.
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IJSRET Volume 6 Issue 2, Ma-Apr-2020

Uncategorized

The New Technology of Genetic Engineering-CRISPR
Authors:- UG Student Rohan Alag

Abstract:- In recent times, the research to edit the genome of different organisms has led to marvelous discoveries. In the late 80s, scientists discovered palindromic sequences in the DNA which has since been used as the base for recombinant DNA technology to help create lab synthesized enzymes and medicines which have slingshot the pharmaceutical field into a whole new world, but now with work been done on the new gene-editing technologies like CRISPR. This is a whole new way of looking at the DNA. Something that we could add a piece to can now be edited to such an extent that we can choose what each gene does.

The New Technology of Genetic Engineering-CRISPR
Authors:- Lavanya P, Priya Dharshini S, Gopinathan B

Abstract:- Marine life may be a huge ecosystem that faces many threats, the most important one being pollution. And one among the main contamination sources are oil spills. Oil spills are often devastating, especially when a large area of the ocean/sea is covered with it. The oil that gets leaked into the ocean pollutes the water and prevents algae from getting sunlight and fish from getting the oxygen trapped in water. The oil also gets trapped within the wings of birds that feed on the fish, making it difficult for them to fly. In short, oil can pose an excellent threat to ocean life if not taken care of. Oil spill incidents occurred outside the Kamarajar Port in Ennore near Chennai in Tamil Nadu, India. The spill occurred on 28 January 2017 when an outbound empty tanker BW Maple collided with an inbound loaded oil tanker Dawn Kanchipuram at 04:00 local time.Image processing may be a rapidly growing technology, which has applications in computer vision also as remote sensing. Identifying oil spill impact with Machine Learning Random forest classifier, K-means algorithm and WebGnome tool using Landsat8 dataset. We aim to broaden its range of applications in controlling global pollution.

 

Credit Card Fraud Detection Using Adaboost
Authors:- B.Nithin, Rohit Ravula, Shaik Gangina Sulthana

Abstract:- Fraud is cheating or wrongful or a culprit activity, its main aim is focus financial or personal sign. In this proposed system we uses two mechanisms namely, (i) fraud prevention and (ii) fraud detection, for avoiding loss from fraud, that detecting details from fraud. In the first fraud prevention mechanism. Is most defensive and proactive strategy, it prevents the misrepresentation from starting. At that point, the second mechanism fraud detection is guessing the fraudster. This component is required for a fake exchange, but it guesses the fraudster, in the time exchange endeavored by fraudster. Credit card fraud is a serious problem in financial services. Billions of dollars are lost due to credit card fraud every year. There is a lack of research studies on analyzing real-world credit card data owing to confidentiality issues. In this project, machine learning algorithm is used to detect credit card fraud. Standard models are first used. Then, hybrid methods which use AdaBoost . To evaluate the model efficiency, a publicly available credit card data set is used. Then, a real-world credit card data set from a financial institution is analyzed. In addition, noise is added to the data samples to further assess the robustness of the algorithms. The experimental results positively indicate that Boosting Algorithms achieves good accuracy rates in detecting fraud cases in credit cards.

Lpg Leakage Detection and Alaraming System
Authors:- Priyanka Raut, Surbhi Bondre, Vrushab Motghare, Aishwarya Kale , Ankita Girde

Abstract:- Home fires have been taken place frequently and the threat to human lives and properties is growing in recent years. Liquid petroleum gas (LPG) is very inflammable and may burn even at a long way from the source of leakage. Most fire accident are caused due to poor quality rubber tube or the regulator isn’t turned off when not in use. Therefore, developing the gas leakage alert system is extremely essential. Hence, this system presents gas leakage alert system to detect gas leakage and to alarm the people onboard.

Multicore Scheduling System using OpenMP Simulator
Authors:- M. Tech. Scholar (VLSI) Rajashri Patil, Assistant Professor Priyanshu Pandey

Abstract:- Introduces a novel multicore scheduling method that leverages a parameterized dataflow Model of Computation (MoC). FIFO digital processing algorithm has inefficient use of the CPU core that affects latency and energy consumption. Desired parallelism is not achieved instead of having sufficient CPU core. Objective of this paper is to design of multicore signal processing systems, is to distribute computational tasks efficiently onto the available CPU core while taking into account dynamic changes. Design a flexible scheduling method that determines scheduling decisions at run-time to optimize the mapping of an application onto multicore processing resources.The proposed method name isTime Based Multicore Scheduling (TB-MS), TB-MS denotes to efficiently schedule Parameterized and Interfaced Synchronous Dataflow (PiSDF) graphs on multicore architectures. TB-MS method exploits features of PiSDF to find locally static regions that exhibit predictable communications. For experimental purposed uses a multicore signal processing benchmark to demonstrate that the TB-MS scheduler can exploit more parallelism than a conventional multicore task scheduler based on task creation and dispatch. These experimental results of the TB-MS on an 8-core Texas Instruments Keystone Digital Signal Processor (DSP) are compared with those obtained from the OpenMP implementation provided by Texas Instruments and also apply TB-MS method on Intel core i3 guard core processor using OpenMP Simulator. With the help of TB-MS algorithm approach latency improvements of up to 34% for multicore signal processing systems and also obtained result compare to conventional method.

A Survey on Broad Band Patch Antenna Design by using Different Techniques
Authors:- M.Tech. Scholar Manohar Kumar, Suresh Gawande

Abstract:- This article presents give an general idea of the microstrip patch antenna design by using different techniques for broad the bandwidth of an antenna. Generally the microstrip patch antenna surface is trace of copper on both sides of the substrate. The one side of the patch antenna is a radiator the other side of the antenna is ground work as a reflector. As per survey the researcher are work on the different feeding technique like wise it may coaxial feeding, microstrip feeding, aperture feeding and proximity feeding. Most of the researcher work on coaxial feeding it is easy to used and complexity is less as compared to other feeding. The microstrip patch antenna is used many researcher due to their low weight , easily available, easy to design any type of design either both sides or one side and easy to fabrication and testing. The main disadvantages of microstrip patch antenna is narrow bandwidth due to this they are unsuitable for wireless communication system. From last few decades the researchers are continuously working on microstrip patch antenna how to improve the bandwidth and different parameter of a microstrip patch antenna. The current work is focus on wearable, reconfiguration, 5G applications. This survey give the introduction of the microstrip patch antenna and give the band width enhancement technique by different researchers.

A Review on CFD Analysis of Tube Receiver for Parabolic Trough Solar Collector with Pin Fin Arrays Towards CSP Technologie
Authors:- M.Tech. Scholar Sarabjeet Singh, Prof. Kashiram Kadwe

Abstract:- Solar thermal systems are advantageous since it is easier to store heat than electricity on a large scale. Investigation on the heat flux distribution on the absorber tube is critical to get detailed knowledge on how to improve efficiency with the aim to enhance the overall heat transfer performance. In this study Tube receiver with pin fin arrays inserting was introduced as the absorber tube of parabolic trough receiver to increase the overall heat transfer performance of tube receiver for parabolic trough solar collector system. The Monte Carlo ray tracing method (MCRT) coupled with Finite Volume Method (FVM) was adopted to investigate the heat transfer performance and flow characteristics of tube receiver for parabolic trough solar collector system.

Design Analysis and Optimization of (Direct Injection) Diesel Engine
Authors:- Dharamveer Singh, Er. Rohtash Sharma

Abstract:- This paper focuses on the design, Analysis and optimization of piston which is stronger, lighter with minimum cost and with less time. Since the design and weight of the piston influence the engine performance. Study Design: Analysis of the stress distribution in the various parts of the piston to know the stresses due to the gas pressure and thermal variations using with Ansys. The Piston of an engine is designed, analyzed and optimized by using graphics software. The CATIA V5R16, CAD software for performing the design phase and ANSYS 14.0 for analysis and optimization phases are used. Results indicate that the volume of the piston is reduced by 24%, the thickness of barrel is reduced by 31%, width of other ring lands of the piston is reduced by 25%, Von misses stress is increased by 16% and Deflection is increased after optimization. But all the parameters are well with in design consideration.

Investigations on Sliding Contact Characteristic of FRP Composite Bearing using Artificial Neural Networks
Authors:- Shailesh Rajoria, Assistant Professor Shantanu Roy

Abstract:-In rotary machines vibration is an inherent phenomenon which has the tendency to affect required performance. Amongst the different parameters that affect vibration, selection of appropriate bearing is the most critical component. In this work the effect of different types of bearing on vibration in rotary machines is studied and the magnitude of vibration produced by use of different set of bearings under the same condition of loads and rotational speeds were investigated. Bearings considered in this work were ball bearing, tapered roller bearing, thrust bearing and shaft material considered is of mild steel. From experimental result, it was noted that tapered roller bearing gives the highest amplitude of vibration among all the three bearings whereas the ball bearing gives least amplitude under similar operating conditions.

360 Degree Wheel Rotation Vehicle
Authors:- Mohammad Ubaid Ur Rahmaan, Mohd Jaber, Abdul Rahman, Asst.Prof. Attalique Rabbani

Abstract:- Main function of car is to move from one place to another place. We find that every member of the family have their own vehicle. Car provides us lot of benefits like protect us from sun heat in summer and from rain in monsoon. Travelling is inevitable part of person’s life Car is the most common thing in today’s world. Ha ving a car is the status in the society but Having a costly car is a royal status in the society, with increase in number of vehicle people have to face traffic problems like parking, taking reverse etc. So here we have“DESIGNED a 360 DEGREE ROTATING CAR” for these above mentioned purposes. These problems can be efficiently reduce and eliminated by the use of this application we use. It operates in a clockwise and anticlockwise direction A primary objective of the present invention is to provide a simple, stable, easy control, smaller space needed and a more concise movement of car To better understand the present invention, detailed descriptions shall be given with the accompany drawings.

Optimisation of Helical Gear Power Transmission using Genetic and Pid Controller Hybrid Algorithm
Authors:- Manish Parmar, Assistant Professor Shantanu Roy

Abstract:- This Review Paper gives the information about Bending and Contact Stress Analysis of Helical Gear. Thus, this review paper mainly focus on the MATLAB, finite element methods and GA standards for computation of bending and contact stress on a root of helical gear. In this paper the bending stress and contact stress of the gear tooth are examined and are to be one of the main contributors for the failure of the gear in a gear set. Thus, the analysis of stresses has become popular as an area of research on gears to minimize or to reduce the failures and for optimal design of gears. Authors have use various Approaches and means to conclude their main objective of finding out the contact stresses and gear failure causes in static condition using Finite Element Analysis, GA Standards and MATLAB. This review paper contains theoretical, numerical and analytical methods for the helical gear pair analysis.

Enhancement using Adaboost Algorithm in Machine Learning to Predict ASD in Children
Authors:- Mary Stella. J, Dr. Shashi Kumar. D.R

Abstract:- Autism is a neurobehavioral disorder of development which is seen with social behavioral and interactive behavioral impairments in children. The perspective of detecting and predicting the ASD in the children is to diagnose and treat the children in early age which could be a life saving aspect in leading a normal life. Though different techniques have been studied it did not provide any beneficial conclusion in predicting traits on autism in children of small age groups. Different Data mining techniques and prediction model of ML techniques were explored to performance evaluation and accuracy validation. In our study, the required classification method of ASD diagnosis has been used with children of very early age. Our proposed paper compares many algorithms of machine learning along with AdaBoost algorithm. AdaBoost combines the weak classifiers to a strong classifier and achieves more accuracy finally.

Investigating The Potentials of Wood Charcoal, Groundnut Shell Charcoal and used Toner in Microbial Fuel Cell Electrode Power Generation
Authors:- Akuma Oji, Nwanro Godstime Chinkem

Abstract:- This research is on the potentials of wood, groundnut shell and toner charcoals are investigated to ascertain the best material for microbial cell electrodes. To investigate this, wood, groundnut shell and toner charcoal were used to produce electrodes after mixing each of them in cement in the ratio of 1:1. Agar concentration of 20g/500ml was mixed with 3.5g salt for the production of the Proton Exchange membrane. Voltage and current of the cells were measured three times daily using digital multi-meter and the average was recorded. After 20 days of study the result obtained showed that wood charcoal electrode in close circuit has maximum current, voltage, power and current density of 0.17mA, 0.15V, 2.2024mW/m2, and 14.683mA/m2 respectively. For groundnut shell charcoal the following results were obtained for close circuit- maximum current, voltage, power and current density were 0.07mA, 0.13V, 0.7859mW/m2, and 10.3644mA/m2 respectively, for toner charcoal the results are maximum current, voltage,power and current density 0.1mA, 0.11V, 0.7773mW/m2, and 7.7733mA/m2 respectively. For open circuit, maximum values of wood charcoal for current, voltage, power and current density were 0.017mA, 0.15V, 0.216mW/m2, and 1.445mA/m2respectively. Groundnut shell in open circuit gives the following result, 0.007mA, 0.14V, 0.0833mW/m2, and 0.595mA/m2 for maximum current, voltage, power and current density respectively, toner charcoal in open circuit gives 0.011mA, 0.013V, 0.1216mW/m2, and 1.1056mA/m2for maximum current, voltage, power and current density respectively. All result obtained from the experiment shows that wood charcoal base electrode has the highest potential among the tested materials, thus, would produce more power and has more efficiency than the other materials.

Elimination of Lower Order Harmonics in Multilevel Cascaded Inverters with Equal Dc Sources using Pso
Authors:- K.Meghana, K.Bharghavi, K.Nikhitha, Asst. Prof. Mr.Rathnaiah

Abstract:- This paper presents elimination of lower order harmonics in multilevel inverters withequal DC sources using PSO. To eliminate the selected lower order harmonics from the output voltage or current waveform of a cascaded multilevel inverter, appropriate switching angles were calculated and the power switching devices were switched accordingly. The switching angles were calculated from the non-linear equations derived from the Fourier series expansion of the output voltage of the inverter. A PSO algorithm was developed to solve the nonlinear equations. With the proposed approach, the required switching angles are efficiently computed using PSO to eliminate the lower order harmonics from the inverter voltage waveform for different modulation indices (ma).The PSO algorithm was developed in the Matlab environment, and the three phase multilevel cascaded inverter systems have been simulated using the PSIM software. The performance of the proposed method for a nine-level cascaded H-bridge inverter was evaluated based on simulation and experimental studies. Lower order harmonic up to the 11th order are eliminated.

Modeling of Physio chemical Parameterfor Poultry Wastewater Behavior in Dual Cell Microbial Fuel Unit with Biomass Electrode
Authors:- Akuma Oji, Otaraku Ipeghan Jonathan

Abstract:- This experimental research on the modeling of physiochemical parameter in microbial fuel cell involves physiochemical parameter with a multi- parameter water checker. The parameter analyzed were; Conductivity, Turbidity, Total suspended solid (TSS), Total dissolved solid (TDS) and salinity, standard methods. The raw poultry waste solution which serves as an electrolyte has values of COD 2052mg/l, BOD 493mg/l, pH 6.36, Conductivity 16.36 µs/cm, Turbidity 964 NTU, TSS 1100 mg/l, TDS 9260mg/l and salinity 9.6% as anode electrolyte. The result obtained after 28 days of operating the cell shows poultry waste physiochemical parameter reduction and that using R2 as bases, the model of the physiochemical parameters proposed showed polynomial relationship for all the biomasses apart from the electrode from sawdust that are showed Linear relationship for Salinity and same R2 (0.9877) for TSS and also for The best fit, for is for sawdust with exponential correlation with R2 value of 0.9815 for salinity. The research study has shown that Microbial Fuel Cell has a strong polynomial relationship correlation for different electrode produced of different biomass materials with poultry waste solution as electrolyte.

Efficient Multipath Routing with Multichannel in WSN Network
Authors:- M.Tech. Scholar Raghavendra Kumar, Assistant Professor Devkant Sen

Abstract:- In WSN due to the lack of resources of recharging or replacing of batteries will not be possible. The all nodes working in network is completely depend on the node energy in network by that the energy utilization is major issue in WSN. The efficiency of the network degrades and also responsible for the loss of packets. So routing in the sensor network is one of the important issue and many difficulties are faced during deployment of routing strategies.The dispute in sensor networks is that even if a host does not communicate on its own, it still normally forwards data and routing packets for others, which reduces its battery. Multi-path routing can avoid congestion and improve performance. In this technique the route is selected on the basis of higher energy capacity of nodes ,it means the multiple path are selected on the basis of higher battery capacity and the data ACK is received through the next alternative path that has next higher energy level but lower than the first preferred existing path in Grid WSN. The congestion is controlled by multipath routing. The proposed Enhanced AWMRP load balancing scheme is balance the load in network by selecting the path that has low mobility and higher energy value. The performance of proposed scheme is compare with the normal AWMRP and AWMRP with GECP (Group based Energy Conserving Protocol) routing protocol and provides the better outcome. Grid-based multi-path routing protocol intended to route packets fast, utilize and extend sensor nodes energy in addition to avoiding and handling network congestion when happens in the network.

Collaborative Decision for Wormhole Attack Prevention in WSN
Authors:- M.Tech. Scholar Rajani Kant Tiwari, Assistant Professor Devkant Sen

Abstract:- The dynamic network called WSN is very popular for short range communication between the mobile devices. This research is very useful in field of security to evaluate the network performance in case of attack and proposed previous security scheme. Due to the absence of centralized administration, security is the main issue in WSN and attackers are very easily modified the actual behavior and performance of network. The wormhole attack is creating the tunnel. In this attack two or more malicious colluding nodes create a higher-level virtual tunnel in the network, which is employed to transport packets between the tunnel endpoints. These tunnels emulate shorter links in the network and so act as benefit to unsuspecting network nodes which by default seek shorter routes. In this paper we proposed a scheme against wormhole attack. Worm hole attack is a type of attack that are work as to established path in between sender and receiver but if the sender has start data transmission then in that case the worm hole attacker has create a direct link, referred to as a wormhole tunnel between them and all the data pass through that tunnel. In this research we proposed Wormhole attack Intrusion Detection as well as prevention (IPS) Security Scheme against wormhole attack. For detection we identified the information of intermediate nodes and get attacker node information like node number, number of attacker and infected packets it means trustful communication among the nodes by that the higher successful data communication process rates may well possible. After that we prevent wormhole attack using broadcasting the particular identification (ID) of attacker by that no node in network replies of that request and secure the mobile ad-hoc network communication.

A Review Article of Higher Efficiency Solar and Thermal Hybrid Power Plant Based on Pi Controller
Authors:- M.Tech. Scholar Ayush Verma, Anil Kumar Kori

Abstract:- Now a day’s electricity is most needed facility for the human being. All the conventional energy resources are depleting day by day. So we have to shift from conventional to non-conventional energy resources. In this the combination of two energy resources is takes place i.e. PTC, wind and thermal energy. This process reviles the sustainable energy resources without damaging the nature. We can give uninterrupted power by using hybrid energy system. Basically this system involves the integration of two energy system that will give continuous power. Solar panels are used for converting solar energy and wind turbines are used for converting wind energy into electricity. This electrical power can utilize for various purpose. Generation of electricity will be takes place at affordable cost. This work deals with the generation of electricity by using two sources combine which leads to generate electricity with affordable cost without damaging the nature balance.

A Review Article of Hvdc Based Power Loss Reduction and Estimation of Power Transmission
Authors:- M.Tech.Scholar Prashant Sharma, Anil Kumar Kori

Abstract:- Line commuted converter user in HVDC transmission systems inject harmonics into their associated AC and DC systems. A conventional approach to filter these harmonics is to use passive filters on both AC and DC sides of the converter. Apart from their technical problems, harmonic filters constitute a considerable part of the volume and cost of present DC terminal stations. Another possible alternative of harmonic suppression is to increase the number of pulses of AC-DC converters by transformer phase-shifting techniques, but the resulting complicated circuitry together with its problems of insulation produce significant technical and economical disadvantages. This Paper presents an overview of classical HVDC transmission system. It also provides a brief historical development of the technology and state of art in the field of HVDC transmission system. Based on outcome of literature survey, broad research goals are identified.

Survey on Location Privacy in Participatory Sensing Applications
Authors:- Vaishnavi K, Vaishnavi D R, Srujana S K, Vaibhav Talreja, Asst.Prof. Nikshepa T, Asst. Prof.Surabhi K R, Asst.Prof. Lavanya D

Abstract:- Location Privacy is a major apprehension in participatory sensing applications. Here user can both give as well as retrieve valuable information. The major drawback in LBSs (Location Based Services) is the leakage of user’s locality. These applications collect detailed sensor data which compromise user privacy. To solve this problem existing solutions bring in trusted third party (Anonymizer) connecting the user and the Location Service Provider (LSP). In some situations the Anonymizer may compromise which leads to leakage of user information. To deal with this issue, in this paper we adopt an enhanced location privacy preserving system for the LBS atmosphere. The main advantages of our method includes: 1) user can raise queries with secured locations, 2) no need of fully trusted third parties.

Review of Image Search using Hybrid Techniques
Authors:- M. Tech. Scholar Sakina Bohra, Assistant Professor Prof. Lokesh Parashar

Abstract:- The big digital image databases are yielded by the widespread of smart devices along with the exponential growth of virtual societies. If not fused with efficient Content-Based Image Retrieval (CBIR) tools, these databases can be counter-productive. The introduction of promising CBIR systems had been witnessed last decade which promoted applications in various fields. In this editorial, ananalysis on state of the art content-based image retrieval which includes theoretical and empirical work, is propounded. This work comprises of publications that cover aspects of research relevant to CBIR area. That is to say, unsupervised and supervised education and combination techniques along with which the low-level image visual descriptors have been reported. Furthermore, challenges and applications that appeared to carry CBIR research have been discussed in this work.

Evolution of Javascript and its Frameworks
Authors:- Narpat Singh Rawat

Abstract:- The increasing popularity of JavaScript has led to a variety of frameworks that aim to help developers to address programming tasks. However, the number of JS Frameworks has risen rapidly to thousands and more [1].There was a period when the development of the web pages was very hectic job for the browsers, it was early 1990’s when the necessity of new browser programming language is feel which is completed by the Mocha language and renamed into LiveScript and finally it’s become JavaScript, although it is not linked to Java but the name enable JavaScript to get popularity in faster term. When the JavaScriptwidely accepted over worldwide the need of compatible code is needed for all the browsers at that is when first ever JavaScript framework comes into existence named DHTML in 2000 after that most widely used JavaScript library known jQuery comes into existence but developers community felt the need for a complete front-end framework to develop the complex web applications and that was fulfilled by the various new JavaScript based frameworks like – Angular JS, React, Vue JS and other backend like Node JS.

Recommendation System for Career Path using Data Mining Approaches
Authors:- Pratik Devidas Dusane, Nikita Vinayak Bhosale,Vaishnavi Avinash Avhad, Pratik Kailas Naikwade

Abstract:- Nowadays, students are often facing a problem to choose a career in their life. There are several factors that influenced the students while choosing their career path such as their personal aptitudes, educational achievement and their environment. After completing secondary and higher secondary education, students are normally starting to find a career path which may suit their skill and potential the best. However, many students made wrong decision on selecting their career due to the lack of experience, help and advice from friends and relatives, parents and lecturers, or career counseling. So, in order to tackle this situation we are developing such system which will help student to select their career path based on their interests.

Harness Design for Four Wheeler Vehicle using ECAD Tool
Authors:- Pranay A. Sonwane, Amar W. Gakhare, Akshay C. Ghube, Prof. Pravin M. Palkar Komal Tawale, Anjali Uikey

Abstract:-In today’s automotive industry, wire harness fields are employed to increase performance and reduce its manufacturing costs, but they are not successful in that field. We have designed inexpensive, less complex and low weight wire harnesses for HEV (Hybrid Electric Vehicle) to increase performance and reduce the cost of wire harnesses. In today’s wire harness are available for HEV but they are more economical and expensive so indirectly cost of HEV is increased.

Experimental Study of Wear Properties on Aluminum Silicon Alloy
Authors:- Pranay A. Sonwane, Amar W. Gakhare, Akshay C. Ghube, Prof. Pravin M. Palkar Komal Tawale, Anjali Uikey

Abstract:-At present there are many properties of Aluminum Silicon alloy which contain light weight less coefficient of thermal expansion and more weight ratio which is suitable for many industries in past decade it is more accepted in automobile industries as it is useful in cost saving and its Si alloy plays an important role in this study the wear behavior of Al-Si is being studied Aluminum of 86% weight with silicon of 14% of weight,Aluminum of 82% of weight with silicon of 18% weight,Aluminum of 78% weight with silicon of 22% weight were synthesized by casting method.the wear behavior was studied by using pin on disc wear testing machine.the mechanical properties of the alloy has increased.

Sign Language Translation to Voice For Dumb People
Authors:- Rosemarry Antony, Stephy Paul, Silji Simon C, Assistant Prof. Scaria Alex

Abstract:-Communication is the only medium by which we can share or convey our thoughts, but for a person with disabil- ity(dumb) faces difficulty in communicating. It is impossible for them to communicate with others until ordinary people learn the sign language for communication. So this system will help the dumb people to intract with other people. Some existing methods are sign language to text conversion and using smart gloves. In the already existing systems signs are identified from images. The normal outputs will be alphabets or numbers and may not handle connective words like is,are etc. It is more comfortable if it is converted to voice rather than text for dumb people. In this system a webcam will capture the hand gesture from video and perform hand feature extraction. Then predict the symbol. Finally we get the result as voice. So that it would be audible to everyone. Here we are identifying signs from live video. It is the main difference from other methods. The output will be collection of words. For handling connectives special languages want to implement. Machine learning is the domain of this system. This is implemented using python. The main objective of this system is to help dumb people in their communication.

Diabetes Disease Prediction using Retina Scan
Authors:- Kanchan Doke, Rizeen Mujawar, Aditi Patil, Juhi Kamath

Abstract:- One of the foremost causes for the increase in mortality among children and adults in recent years is diabetes. Doctors are using classification systems to analyse and diagnose the medical data. In order to classify diseases, Radial basis function neural networks are more dependable. It is especially helpful in diabetes classification, because of it’s non iterative nature. In Radial basis function neural networks, there are four layers. The four layers are input layer, pattern layer, summation layer and the decision layer. They are feed forward neural networks. Along with the training data set size, the size of the pattern layer increases simultaneously. Although various attempts have made to solve this issue by clustering input data using different clustering algorithms like k-means and k- medoids, the main difficulty in determining the optimal number of neurons in the pattern layer remains unsolved. A new model is applied here in order to classify the data gathered from diabetic patients. This model is made mainly on the basis of cluster validity index and radial basis neural network. In order to determine the optimal number of neurons in pattern layer, cluster validity index is used in class by class fashion. It is important to identify the weights between summation layer and pattern layer for processing. Thus, in order to identify the weights between summation layer and pattern layer, a new convex fitness function has been designed for bat inspired optimization algorithm. For testing the model, Pima Indians Diabetes data set and synthetic data sets are being used. Experimental results proved that our approach performs better in terms of accuracy, sensitivity, specificity, classification time, training time, network complexity and computational time compared to conventional radial basis function neural network. On comparing with familiar classifiers namely probabilistic neural network, feed forward neural network, artificial immune system, GINI classifier, etc, our proposed model has proven to perform better.

Characterization of South Indian Ladies Foot And Generation of Last Thereof
Authors:- Efrem Eyasu Chute

Abstract:- Shoe-last design is a highly significant aspect of footwear design. This project aims to develop a shoe last with an accurate fitting system for young females in Tamil Nadu by collaborating the knowledge of reverse engineering and 3D modelling software. The data will be collected using a 3D foot scanner for better exactness of measurements. After analysing collected data, the existing last will be crossly checked with measured value to realize deviation from actual foot size. The new fitting from scanned data will determine possible discomfort.

Traffic Monitoring System for Hair Pin Bends and Blind Sharp Turns using Plc
Authors:- Assistant professor Ikram N, Deepak Kishor L C, Santhosh P, Karthikeyan G

Abstract:-In this method driver alerting system for vehicle at hair pin bends and blind sharp turns to avoid accident and lose of human life. To give safe journey to tourist and local person while travelling at hill station and blind sharp turns in normal road. The paper mainly focused on the control and monitoring system in hilly area at hair pin bends and sharp turns with new invented technology with the help of automated system. The automated system would reduce the accident at hill station by utilizing the programmable logic controller. Passive infrared sensor takes care of heavy vehicle like lorry, Bus with respect to hairpin bends and sharp turns. To move indication vehicle of opposite side with help of traffic signal the vehicle come from the other end. Automated system take place quality and efficiency output .Thus, the proposed automated technology include PLCs and passive infrared sensor to develop driver alerting system and improve safety in the hair pin bends of hilly roads and sharp turns.

V4 Solenoid Engine
Authors:- Khaleel Ahmed, Mujtaba Razi Ahmed, Mohd Aijaz, Assistant Professor & Supervision Attalique Rabbani

Abstract:-The main objective of our project is to overcome the drawbacks of an ordinary IC engine by replacing it with “SOLENOID ENGINE”. The solenoid engine works on the solenoid, It is a cylinder type case on which the copper coil is wrapped into number of turns, when we passes the current through it, it reciprocates the piston inside the cylinder back and forth and works like an ordinary reciprocating engine. In this engine we are using very less movable parts,hence turbulence is low when compared to an IC Engine. Also due to less components and no fuel is used for power generation it is very economical than other engines. In solenoid we are not using any type fuel combustion as total power is generated by current, hence it doesn’t produce harmful gases like IC engines do, which is very harmful for both human and atmosphere, hence it is very Environmental friendly.

Design Analysis and Optimization of (Direct Injection) Diesel Engine
Authors:- Dharamveer Singh, Er. Rohtash Sharma

Abstract:-This paper focuses on the design, Analysis and optimization of piston which is stronger, lighter with minimum cost and with less time. Since the design and weight of the piston influence the engine performance. Study Design: Analysis of the stress distribution in the various parts of the piston to know the stresses due to the gas pressure and thermal variations using with Ansys. The Piston of an engine is designed, analyzed and optimized by using graphics software. The CATIA V5R16, CAD software for performing the design phase and ANSYS 14.0 for analysis and optimization phases are used. Results indicate that the volume of the piston is reduced by 24%, the thickness of barrel is reduced by 31%, width of other ring lands of the piston is reduced by 25%, Von misses stress is increased by 16% and Deflection is increased after optimization. But all the parameters are well with in design consideration.

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The National Conference on Advanced Computing (NCAC) (on 12th February, 2020 at Sri Vijay Vidyalaya College of Arts & Science, Dharmapuri) is to confer a forum for the presentation of new advances, research results and to discuss the future trends in the fields of Contemporary Computing, Analytical Computing and Advanced Computing. The conference includes keynote address and plenary sessions by experts and presentation of contributed papers.

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Paper Submission DeadLine       : 7th Feb 2020

Final Date of Notification             : 8th Feb 2020

Last Date of Registration              : 11th Feb 2020

Date of Conference                        : 12th Feb 2020

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IJSRET Volume 6 Issue 1, Jan-Feb-2020

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Comparative Investigation of Aerodynamic Effects on Geometrically Twisted Wing using CFD
Authors:- Moaz Hussain

Abstract:- The main intent of this work is to simulate the aerodynamic effects on different configuration of commercial and delta wing at different angle of twist. This investigation aims to suggest a better aerodynamic configuration for wing to reduce the induced drag formed on wing during flight operation and in-turn improves the efficiency of the UAV. Simulation processes of computational fluid dynamic (CFD) on wing models for medium size high speed UAV, using typical section as NACA 2412 airfoil is been carried out at 1⁰, 2⁰ and 4⁰ twist angle. The twist is provided to adjust pressure distribution henceforth lift distribution along the wing. ANSYS Fluent is used to analyze the pressure distribution on the surface of wing at speed of 0.6 Mach. The lift and drag forces are also determined which were used for calculating the coefficients of lift and drag. The obtained results were used to establish a comparison between aerodynamic performances of all provided models.

Optimization of ART and DC for Scalable MANET
Authors:- M.Tech. Student Nisha Kaithwas, Asst. Prof.Dr.Mehajabeen Fatima, Asst. Prof. Nitesh Kumar

Abstract:- Now days, Ad-hoc network play an important role in our daily lives because of their extensive capability of uses in various fields. Mobile Ad-hoc Networks (MANETs) are very popular network with large number of users and due to development of large scale ad-hoc network; scalability has been one of the issue we need to concentrate. MANETs has a various types of routing protocols. One of the popular routing protocols is AODV (Ad-hoc On-demand Distance Vector) which provide route for communication between nodes. Route maintenance parameters such as ART (Active Route Timeout) and DC (Delete Period Constant) are stores in routing table of nodes. This paper is optimized the value of ART and DC for scalable MANET.

Survey of Force Convection Nanofluid Heat Transfer in The Automotive Cooling System
Authors:- M.Tech. Scholar Subhash Chandra Sah, Asst. Prof. Suresh Kumar Badholiya, Prof. Rohit Choudhary

Abstract:- Now days, Ad-hoc network play an important role in our daily lives because of their extensive capability of uses in various fields. Mobile Ad-hoc Networks (MANETs) are very popular network with large number of users and due to development of large scale ad-hoc network; scalability has been one of the issue we need to concentrate.A wide variety of industrial processes involve the transfer of heat energy. Throughout any industrial facility, heat must be added, removed, or moved from one process stream to another and it has become a major task for industrial necessity. Heat transfer performance of liquids is limited by their low thermo-physical properties compared with those of solids. The primary reason behind adding solid particles less type of fluid is called a Nano fluid. Dispersing solid metallic or non-metallic materials in a base fluid (liquid), such as water, ethylene glycol or glycerol, has become an interesting topic.

Study of Force Convection Nanofluid Heat Transfer in The Automotive Cooling System
Authors:- M.Tech. Scholar Subhash Chandra Sah, Asst. Prof. Suresh Kumar Badholiya, Prof. Rohit Choudhary

Abstract:- The results revealed that the nano fluid (Ag/HEG) with highest concentration of volume 4% has the highest friction factor at all Reynolds numbers. This solution provides promising ways for engineers to develop highly compact heat exchangers and automobile radiators. When adding nano particles to the base fluid, such as water, the potential enhancement of car engine cooling rates could entail more engine heat being removed or a reduction in size of the cooling system. Smaller cooling systems would lead to smaller and lighter radiators, which would benefit almost every aspect of car performance and increase fuel economy.

Secured University Result System using Block Chain Features
Authors:- Patel Zeel Vijaybhai, Golait Shubham Nitin, Birendra Pratap Singh, Prof. S. B. Ahire

Abstract:- Building a system for security of university results that satisfies the transparency of results has been a challenge for a long time. Distributed ledger technologies are an exciting technological advancement in the information technology world. Block chain technologies offer an infinite range of applications benefiting from sharing economies. This paper aims to evaluate the application of block chain as service to implement distributed database systems. The paper felicitates the requirements of building secure system and identifies the technological limitations of using block chain as a service for realizing such systems. The paper starts by evaluating some of the popular block chain frameworks that offer block chain as a service. We then propose a novel database system currently used by universities based on block chain that addresses all limitations we discovered. More generally this paper evaluates the potential of distributed ledger technologies through the description of a case study, namely the process of an election and implementing a block chain-based application which improves the security and decreases the cost of hosting a worldwide application for universities.

A Review on Thermal Performance Analysis of Steam Surface Condenser
Authors:- M.Tech. Scholar Kamlesh Amrute, Prof. Brijendra Kumar Yadav

Abstract:- The steam condenser is one of the important components in a power plant which significantly affect the power generation and performance of unit in terms of heat rate. Deterioration in thermal performance of condenser not only affects the power generation but also thermal performance of unit as a whole. The parameters that are responsible for condenser thermal performance are cooling water (CW) mass flow rate, temperature, heat transfer area, velocity, tube fouling, partially filled water box and air leakage.CW flow rate and condenser pressure changes according to the variation in unit load. The CW temperature at condenser inlet varies according to change in annual temperature cycle of the intake system. During operating condition, the condenser performance is subject to change with variation in exhaust steam and CW parameters. The operating conditions of steam surface condenser are of the great influence on the power generation and the turbine cycle heat rate. At the same time, the operating conditions of the CW system determine the operating condition of the condenser.

Digital Transactions Through BTC
Authors:- Rhytham Negi, Paramjeet Singh, Prof. Latika Kharb

Abstract:- Bitcoin is a digital currency like other digital currency, virtual currency, or electronic money which use to transact the amount (Digital currency) from one person to another. Bitcoin is a peer to peer payment system developed by “Satoshi Nakamoto” in the year 2009. Bitcoin is the decentralized currency, which means there is no middle organization or company keep the log of the transactions. According to the google.com, the current rate 1 BTC is 7,77,671.14 (INR) at time of (September,3,2019 08:27 PM). In the paper, before starting anything about the bitcoin, we need to know that “What the bitcoins are and how they come in existence?”. Then we will study how digital transactions can be done through bitcoin.

A Review on CFD Analysis of Effects of Convergence and Divergence Angles on the Performance of a Nozzle
Authors:- M.Tech. Scholar Vishwajeet Yadav, Prof. Pawan Kumar Tiwari

Abstract:- The convergent – divergent nozzle is the most common type used in rocketry and it works by converting pressure energy from the fuel flow and heat energy from the combustion of fuel into kinetic energy in the form of high exhaust velocity. In the converging section of a rocket nozzle, the exhaust is travelling at relatively low speed (sub-sonic) and it becomes sonic at throat. The compressible exhaust increases until it reaches the exit and it is supersonic in the divergent section. Size and shape of a rocket nozzle is also very important. the converging section starts at the combustion chamber is usually shaped in a way to make sure that flow is not disrupted in any way i.e., the convergence is not too steep and has no harsh edges. Therefore in this paper a review will be done based on research work conducted by scholars.

Traditional Properties Analysis in High Strength Cement Concrete with Intermediate Replacements of Brickbats Powder, Clay Mineral and Calcite in Concrete
Authors:- M. Tech. Scholar- Koritipati Murali, Asst. Prof.M.Venkata Narasaiah, Asst. Prof. L.Gopi Chand

Abstract:- The processing of plain and reinforced cement concrete and utilizing it is sustainable concrete has become an important requirement in the construction industry. To improve environmental properties, several of supplementary cementing and pozzolonic materials are introduced and they are partial replacement of cement in the concrete. In this work we are using blending of three useful materials in this work namely brick bats grind powder, calcite is nothing but marble powder and important mineral of clay that is meta kaolin as partially replacing with cement. The adopted materials are very cheap in nature easily available in construction market using cementing materials are very prone to environment in these days. This dissertation reports the results of fresh and hardened properties of the concrete with partial replacement of these materials, at contrast percentages at different curing periods, various traditional methods and tests are conducted on concrete in fresh stage and hardened stage. Based on the previous citations we expected to get positive results from these partials replacements.

A Comparative Study of Physical and Mechanical Properties of Glass Fiber /Polyester Composite Materials with Natural Fillers
Authors:- M.Tech. Scholar Aamir Gaur, Prof. Amit Kr. Tanwar, Prof. Pankaj Singh

Abstract:- Now-a-days, the natural fibers and fillers from renewable natural resources offer the potential to act as a reinforcing material for polymer composites alternative to the use of glass, carbon and other man-made fibers. Among various natural fibers and fillers like banana, wheat straw, rice husk, wood powder, sisal, jute, hemp etc. are the most widely used natural fibers and fillers due to its advantages like easy availability, low density, low production cost and satisfactory mechanical properties. For a composite material, its mechanical, physical, wear and water absorption behaviour depends on many factors such as fiber content, orientation, types, length etc. Attempts have been made in this research work to study the effect of different natural fillers loading on the physical, mechanical, wear and water absorption behaviour of glass fiber/natural fillers reinforced polyester based hybrid composites. A hybrid composite is a combination of two or more different types of fibre in which one type of fibre balance the deficiency of another fibre or filler. Composites of various compositions with four different fillers loading (5 wt%, 10wt% and 15wt%) and glass fiber loading is constant (20 wt%) with constant matrix material (polyester resin) are fabricated using simple hand lay-up technique. Different natural fillers which used in present research work are chopped banana, rice husk, wheat straw, and wood powder fillers. It has been observed that there is a significant effect of filler loading on the performance of glass fiber/natural fillers reinforced polyester based hybrid composites. TOPSIS a multi-criteria decision making approach is also used to select the best alternative from a set of alternatives.

Deep Reinforcement Learning and Image Processing for AdaptiveTraffic Signal Control
Authors:- Prof. Jameer Kotwal, Harshal Thakare, Dhanashri Wani, Dhiraj Sangale, Abhijeet Walunj

Abstract:- In this paper, a traffic control system is build which can easily keep traffic in control using image processing techniques and deep reinforcement learning is presented. In this method, a camera is used in each stage of the traffic light in order to capture the roads where traffic is bound to occur. Number of vehicles in these images is calculated using image processing tools and different timings are allocated according to the count and based on the model trained using deep reinforcement learning along with a green signal for vehicles to pass. In this paper, we implement an intelligent traffic model that controls the amount of time a for which light runs green, based on the density of cars standing.

Power Efficient and Area Efficient Shift Register using Plused Latches
Authors:- M.Tech. Scholar M.Bharathi, Asst. Prof. Ms. K. Monica, Asst. Prof. Mr. Degala. Dhana Sekhar

Abstract:-This paper introduces a less power and powerful area shift register utilising pulsed latches. The range and power loss are decreased by interchanging flip-flops by pulsed latches. This technique determines the timing problem among pulsed latches by the advantage of many non-extension limited pulsed clock signals instead of the usual single pulsed clock signal. The shift register (SR) applies a little number of the pulsed clock signals by classifying the latches to many sub-shifter registers and applying additional volatile storage latches. A 128-bit shift register (SR) applying pulsed latches was invented utilising a 65nm CMOS method with VDD = 1.0V. The advanced shift register reserved area and power related to the standard shift register with flip flops.

Credi-Crypt: An Unpremeditated Anti-Counterfeiting Method For Credit Card Transaction System
Authors:- M.Tech. Scholar Shaik Fouziya, Asst. Prof. Mr. A.M. Shafeeulla, Asst. Prof. Mr. D. Dhana Sekhar

Abstract:-Data encryption is essential for e-commerce. Here we propose a method for covering sensible credit card data in a random backdrop picture externally the sensible data going presented in unrestricted areas. This paper also proposed to merge the Cryptographic and Steganography technique to implement a good protection solution for credit card transactions. The advanced method appropriates a cryptographic cipher and Arithmetic Coding method to protect data inside a covered picture and later transfer it to the target across the web network. This paper also presents an extra cover for improved protection through the use of the Hamming Code. A complete examination is done to differentiate our method among other famous techniques like DCT and DWT.

Delay Less Process To Over Power Transient Noise by Design Optimal Wavelets
Authors:- M.Tech. Scholar Rajasekhar G, Asst. Prof. Mr. K. Balachandra, Asst. Prof. Mr. Degala. Dhana Sekhar

Abstract:- Expulsion of inspiration upheaval from talk in the wavelet region has been seen to be very convincing due to the multi-assurance property of the wavelet change and the straightforwardness of emptying the main impetuses in that space. An essential factor that impacts the execution of the drive departure structure is the suitability of the inspiration detection computation. To this end, we propose another procedure for sketching out symmetrical wavelets that are progressed for recognizing inspiration uproar in talk. In the procedure, the characteristics of the drive uproar and the concealed talk banner are considered and a raised activity optimization issue is figured for deriving the perfect wavelet for a given assistance measure. Execution assessment with other without a doubt comprehended wavelets exhibit that the wavelets illustrated using proposed method have much better inspiration area properties.

Low Switching Power and Ultra Low Rbl Leakage I0t Sram using Half-Vdd Pre-Charge
Authors:- M.Tech. Scholar Siddavatam Sailaja, Asst. Prof. Mr. M.P. Chennaiah

Abstract:- We offer, in this paper, a novel 10T static RAM block should be a single-ended decoupled read bit line with a 4Transistors read port for reduced power maintenance and leakage reduction. The Read Bit Line is pre-charged at half the block supply voltage and is allowed to load and discharge according to the cached information bit. An inverter, operated by the corresponding data node, i.e QB and combines the RBL to the practical power rails to a transmission way when the read method. Read Bit Line extends to the VDD stage for a read -1 and discharges to the earth level for a read-0. Practical power rails should the equivalent value of the Read Bit Line pre-charging level when the write and the hold mode and are combined to pure supply levels simply while the read method. Dynamic control of virtual rails extensively decreases the Read Bit Line leakage. The advanced 10T block in a commercial 75 nm technology is 2.47× the extent of 6T with β = 2, provides 2.3 x read inactive noise margin and reduces the read power distribution by 60% than that of 6T. The amount of Read Bit Line leakage is reduced by more than three orders of magnitude and ON / OFF is hugely improved compared with the 6Transistors Bit Line leakage. The overall leakage features of 6Transistors and 10Transistors are similar, and aggressive performance is completed.

A Vigorous Image Watermarking using 2 level Dct and Wavelet Packets Denoising
Authors:- M.Tech. Scholar Shaik Shahinthaj, Asst. Prof. Mr. K. Narendra, Asst. Prof. Mr. Degala. Dhana Sekhar

Abstract:- In this paper we present a blind low recurrence watermarking plan on dark level pictures, which depends on DCT change and spread spectrum interchanges strategy. We process the DCT of non covering 8×8 squares of the host picture; at that point utilizing the DC coefficients of each square we develop a low-goals estimate picture. We apply square put together DCT with respect to this estimation picture, at that point a pseudo irregular clamor arrangement is included into its high frequencies. For recognition, we extricate the estimation picture from the watermarked picture, at that point a similar pseudo arbitrary commotion grouping is created, and its connection is processed with high frequencies of the watermarked guess picture. In our technique, higher strength is gotten due to implanting the watermark in low recurrence. What’s more, higher intangibility is picked up by dispersing the watermark’s bit in various squares. We assessed the power of the proposed system against numerous basic assaults, for example, JPEG compression, added substance Gaussian commotion and middle channel. Contrasted and related works, our strategy end up being profoundly safe in instances of compression and added substance commotion, while protecting high PSNR for the watermarked pictures.

Contrivance Management using Arduino and Motion Detector
Authors:- G.Vikram Assistant Professor, Assistant Prof. M.Narendra Prasad

Abstract:- Gadget Control Framework utilizing Arduino and PIR (Inactive Infrared) Sensor can be utilized to turn ON and OFF the lighting framework of domestic naturally or any other framework by identifying the nearness of human. This framework can be utilized in carports, classrooms, staircases, lavatories, etc. where there’s no require of nonstop light but only when there’s a human. Moreover, there’s no have to be stress approximately power bills as the lights get OFF when there’s no human and thus one got to pay the bills as per utilize. This paper proposed as almost programmed contraption control framework which consequently controls the room lights utilizing Arduino and PIR sensor. The most components utilized in this framework are Arduino Uno, PIR sensor and Hand-off Module. Out of these components, the operation of framework primarily depends on PIR sensor which makes a difference in recognizing human nearness.

Optimisation of Machining Parameters in Electrochemical Machining (Ecm) of Aluminium 6082 T87
Authors:- Kailashbalan P, Prof. Sivasubramanian R, Ajith Kumar K, Guru Prasath M, Ranjith S

Abstract:- The main objective is to find the optimal machining condition at which the electrochemical machining of Aluminium 6082 T87 will be done in an highly economical, efficient and in an effective way. The effect of process parameters such as electrolytic concentration and voltage on performance characteristics such as material removal rate (MRR) and surface roughness (SR) during Electro Chemical Machining of Al 6082 T87 was investigated. The microstructure of machined surfaces which reflects the performance of electrochemical machining at various machining parameters was also studied. ANOVA was used to investigate the influence of process parameters on performance characteristics during machining. It was observed that MRR increased with increase in voltage whereas SR decreased.

A Robust Model for Unreliable Cloud by Evaluating Trust Values
Authors:- M. Tech. Scholar Sonanchal Singh, Prof. Sumit Sharma

Abstract:-Trust plays a crucial role in cloud environment to offer reliable services to the cloud customers. It is the main reason for the popularity of services among the cloud consumers. To achieve this, trust should be established between cloud service provider and cloud consumer. Trust management is widely used in online services, E-commerce and social networks. This paper focus on a model that can identify real nodes by its behavior in cloud. Here fuzzy max interval values were evaluate from the transactional behavior of the node in fix interval. By increase in transaction count real node trust value get increase and macilous nodes trust value get decreases. Experiment was done on ideal and attacked environment. Evaluation parameters values shows that proposed model of fuzzy interval trust is better as compared to other existing model of unreliable clouds, for identification of malicious nodes.

A Survey on Various Techniques and Features of Digital Image Data Watermarking
Authors:- Phd Scholar Shweta Singh, Dr. Laxmi Singh

Abstract:-As the computerized world is developing with different sort of information like content record, picture, video. Out of those picture assumes a significant job in various field, for example, remote detecting, internet based life, and so on. So keep up the picture quality is finished by Digital image processing on different issues. This paper gives a concise study of image proprietorship maintenance by information concealing procedures for different type of images. Picture investigation features are portray in this paper with their fundamentals. As watermark information is invisible yet it has to maintain some properties of watermarking which are likewise explain in this paper as they are the best measure for comparing various procedures of watermarking work. Detail discussion of various researcher works was also brief in this paper.

Mental Health
Authors:- Arpan Godiyal, Ashish Choudhary, Puneet Garg, Rishabh Rawat, Mr. Dhyanendra Jain

Abstract:-Background: Mental disorder is one of the most important diseases of which is predicted to increase from 10.5% to 15% until 2020. This study aims to determine various factors influencing the mental health of employees of an organisation.
Methods: We have studied a dataset from 2014 survey which measures attitudes towards mental health and frequency of mental health disorders in the tech workplace.We have applied regression models to analyse that data and draw conclusions.
Results: How mental health of an employee depends on factors like age, gender, family history, leaves etc. Conclusion: In order to improve people’s mental health, it is recommended that healthcare officials may more attention to this matter through implementation of programs such as life skills’ training, stress resistance skills training, and helping individuals to be able to adapt themselves to their life environment.

Bioelectricity generation from agro-industrial waste water using dual-chambered microbial fuel cell
Authors:- Mostafa Abdelshafy Ramadan, Mohamed Hemida Abd-Alla, Usama M. Abdul-Raouf

Abstract:- Bioelectricity production from wastewater beside treatment is the main goal offered by microbial fuel cells (MFCs) technology. This study was demonstrated to evaluating the electricity generated by the double-chamber air-cathodic MFC while reducing pollutants from sugar industry wastewater (SIW). A simple double-chamber MFC was configured with Nafion 117 membrane, and operated without adding any chemical mediators. SIW used as an electron donor and was fed in batch-mode into the MFC for three consecutive operational cycles. While the maximum MFC output voltage in open circuit (OCV) mode was 890 mV after 24 operational days, the closed circuit voltage (CCV) was 340 mV when 550 ohm as external load was applied. From the polarization curve, the maximum power density of 160.16 mW/m2 as power output was observed at a current density of 320.9 mA/m2. The efficiency of the MFC was measured based on columbic efficiency (CE) and chemical oxygen demand (COD) removal rate. While the CE was 46%, the COD removal efficiency reached 85.4%. The anodic biofilm was observed through scanning electron microscopy (SEM). The current study results indicated that SIW microbial communities in the anodic biofilm have the ability to produce bioelectricity using MFC in parallel with the SIW substrate treatment.

Cancer Risk Prediction Models using Svm and Decision Tree
Authors:- M. Tech. Scholar Priya Bharti, Prof. & H.O.D. Ashish Tiwari

Abstract:-Cervical blight and the anticipation of analytic aftereffect are a part of the lot of important arising applications of gene announcement microarray technology with affection sequencing of microRNA. By application reliable and dependable allocation of apparatus acquirements algorithms accessible for microarray gene announcement profiling Data is the key in adjustment to advance the lot of acceptable and accessible predictive archetypal to be acclimated by patient. In this paper, two-machine acquirements algorithms accept been acclimated which are Support Vector Machine (SVM) and Decision Tree for the predictive models of cervical cancer. We analyze and appraise the achievement of these two algorithms in adjustment to apperceive which algorithm has bigger performance. In this study, 714 appearance and 58 samples are acclimated to advance predictive archetypal for cervical blight and our computational after-effects appearance that Decision Tree algorithm beat SVM algorithm with the accurateness of 99.42%. Our Data aswell accentuate the accent of variables, which accord the cogent role in admiration the accident of cervical cancer.

Healthcare Prediction using Hybrid Algorithm
Authors:- ME Scholar Vaishnvee Upadhyay, Assistant Prof. Mahesh Lokhande

Abstract:-In medicinal sciences forecast of Heart sickness is most troublesome undertaking. In India, fundamental driver of Death are because of Heart Diseases. The passings because of coronary illness in numerous nations happen because of work over-burden, mental pressure and numerous different issues. It is found as fundamental reason in grown-ups is because of coronary illness. Along these lines, for distinguishing coronary illness of a patient, there emerges a need to build up a choice emotionally supportive network. Information mining order systems, to be specific Modified K-means and SVM are broke down on Heart Disease is proposed in this Paper.

Implementation of Java Frameworks for Web Applications
Authors:- Saksham Gupta

Abstract:- In this paper represents the web design frameworks as a conceptual methodology to expend the probabilities reuse in Web applications. Firstly I have presented the importance for construction abstract and reusable directional design structures, demonstrating with different kinds of Web information Systems. Hibernate Framework Technology as unique and well-organized resources to take immeasurable databases and also on how to implement persistent features in object-oriented system finished it. It provides a denotation of design patterns and frameworks and discovers the confederation between design patterns and Frame works. Java accepts N-tier framework of MVC Model in platform and uses EJB, Struts WEB Framework and Hibernate technology.

Nfc Based Dual Authentication Access Control System With Biometric
Authors:- M.Tech. Scholar Naresh Kumar Masurkar, Asst. Prof. Priyanshu Pandey

Abstract:-This paper introduces readers to the world of information technology and data security as a part of it. It talks about access control, its components, and levels and types of access control. The paper recognizes the importance of identifying and authenticating any given user in the business areas. Therefore, it gives full attention to biometrics as one of the access control technology and discusses variety and performance of other known techniques; points out the advantages and disadvantages of using them. The paper also presents some real life examples of companies, implementing biometric solutions in their businesses. In this article show how Near Field Communication with biometric authentication with the more security of Server authentication. , it can be connected to the internet using the Ethernet port or by Wi-Fi connectivity. It results in convenience, energy efficiency, and safety benefits leading to improved quality of life. Its futurity, energy efficiency, control over the appliances from any location makes it very handy to use. So, concerning size, power, and price of the Raspberry Pi is qualified for a house-controller.

Magnetic Levitation and its Application on Magnetic Suspension System
Authors:- Kailashbalan P, Asst. Prof. Manivannan C, Ajith Kumar K, Guru Prasath M, Mohammed Muthahar R

Abstract:- The main objective is to study the concept of magnetic levitation and to develop a prototype model of magnetic suspension system using ceramic magnets and to calculate its total energy consumption, total energy reserved as resistive force. The efficiency of magnetic suspension system and hydraulic suspension system were calculated using a standard formula. Comparison was made between the magnetic suspension system and the hydraulic suspension system in terms of their efficiency and energy. The results were proved to be almost similar.

Review Of Cancer Risk Prediction Models
Authors:- M. Tech. Scholar Priya Bharti, Prof. & H.O.D. Ashish Tiwari

Abstract:- We review development, validation, and adaptation of Risk anticipation models to analytic and citizenry practices. We focus on issues in anniversary of these accomplish and the gaps in the acreage beyond the continuum of Risk anticipation archetypal development (many models published); validation (few validated); and accomplishing (even beneath implemented in analytic settings, abundant accomplishing on web sites). Design of models for end users and analytical issues in implementing and evaluating models are addressed with examples from contiguous experience.

Survey Paper on E-Voting System using Blockchain
Authors:- Ayushi Pusadkar, Dhanshri Sawant, Sharvari Prasade, Jay Meshram, Prof. A.S. Kalaskar

Abstract:- To develop an E-voting system in order to achieve privacy, security, transparency by replacing the traditional e-voting system has the potential to minimize the fraud voting. The system will increase convenience for voters. It will make very easy for people with disabilities or who have trouble moving around to vote. It is very quick and private way to vote. This will increase the number of voters since the process does not take up too much of their time of the day. It will help to increase the trust of the people in the government since it is more transparent than the current system. To explore the design of currently available voting protocols, the entities involved in the election, the features they contain, and how secure they are. To examine and understand how block chain technology works as a distributed append- only ledger and show how this aspect of the block chain makes it suitable for electronic voting. To determine the best front-end languages to build this project. To run a comparison of different available technologies that are suited for back-end security work, a database, and a block chain ledger.

A Review: Rumors Detection on Twitter Using Machine Learning Techniques
Authors:- ME Scholar Akanshu Patidar, Assistant Prof. Kapil Shah

Abstract:- In this period, web based life stage are progressively utilized by individuals to pursue newsworthy occasions since it is quick, simple to get to and modest similarly. In spite of the expanding utilization of web based life for data and news assembling, its tendency prompts the development and spread of gossipy tidbits i.e., data that are unconfirmed at the season of posting, which may makes genuine harm government, markets and society. Along these lines, there is need of compelling framework for distinguishing bits of gossip as ahead of schedule as conceivable before they generally spread. Viable framework should comprise of four parts: Rumor location, gossip following, position grouping, and veracity arrangement. Loads of work has been done in later segment while less work in segment talk identification. In this way, presently we should take a shot at gossip location. In this paper, we will condense endeavors done till now around there. A large portion of existing techniques identifies from the earlier bits of gossip, i.e., predefined gossipy tidbits. So it is required to have robotized gossip discovery strategy which recognizes new developing gossipy tidbits viably and as ahead of schedule as could reasonably be expected.

A Review on Impact of Roadway Conditions, Traffic and Manmade Features of Road Safety
Authors:- M.Tech. Scholar Ritu Shingloo, Prof. Shashikant Dhobale

Abstract:- The problem of accident is a very acute in highway transportation due to complex flow pattern of vehicular traffic, presence of mixed traffic along with pedestrians. Traffic accident leads to loss of life and property. Thus the traffic engineers have to undertake a big responsibility of providing safe traffic movements to the road users and ensure their safety. Road accidents cannot be totally prevented but by suitable traffic engineering and management the accident rate can be reduced to a certain extent. For this reason systematic study of traffic accidents are required to be carried out. Proper investigation of the cause of accident will help to propose preventive measures in terms of design and control.

A Review on Effect of Highway Geometric Elemnets on Accident Modeling
Authors:- M.Tech. Scholar Neha Gangwa, Prof. Vinay Deulkar

Abstract:- Road safety is an issue of prime importance in all motorized countries. The road accident results a serious social and economic problems. Studies focused on geometric design and safety aim to improve highway design and to eliminate hazardous locations. The effects of design elements such as horizontal and vertical curves, lane width, shoulder width, super elevation, median width, curve radius, sight distance, etc. on safety have been studied. The relationship between geometric design elements and accident rates is complex and not fully understood. Relatively little information is available on relationships between geometric design elements and accident rates. Although it has been clearly shown that very restrictive geometric elements such as very short sight distances or sharp horizontal curve result a considerably higher accident rates and that certain combinations of elements cause an unusually severe accident problem. In this paper, road geometric design elements and characteristics are taken into consideration, and explanations are given on how to which extent they affect highway safety.

A Review: Text to Speech Conversion
Authors:- Udisha Gupta, Uzma Badar, Mansi Varshney, Shivam, Guided By Ms. Jyoti Verma

Abstract:- Text-To-Speech (TTS) is a computer based system that can be able to read any text aloud. There are many systems which convert text to speech. The main aim of this paper is to study TTS which helped us in making our project. This project consist the solution for the problem that differently able person, old age people and illiterate people face while using social media. Our application is user friendly voice based chat application in which it can verbally respond on the basis of predefined commands in “Text” format and also take voice inputs then convert them into text. This paper consist design, implementation of our application. This application consist two modules voice to text and text to voice.

Analysis and Evaluation of Gravel Pack in Horizontal Wells
Authors:- Bestman Tamunodiyepiriye, Dr. Wopara Fidelis

Abstract:- In this research, gravel packing in horizontal wells are being analyzed to get the total pack efficiency of the gravel pack job. A model is developed for the gravel pack process using the basic laws of physics during the placement of the gravel in the horizontal well bore presuming some conditions are followed. The model developed is simulated using a Horizontal Gravel Pack SIMulator (HGPSIM), the results are now analyzed to determine the effectiveness and pack efficiency of the gravel pack job. The results gotten from the simulation process done in this research indicates that the settling effects of the slurry has to be considered when determining the pack efficiency of the gravel pack process. Some parameters where isolated, varied and analyzed to get the best gravel pack in terms of various injection rates to get their pack efficiencies. It was observed that low viscosity carrier fluid, low gravel concentration at low injection rates would give the most effective and efficient gravel pack process in horizontal wells. These results coincide with the general practices of gravel pack in horizontal wells.

Recommendation System Using Sentiment Analysis
Authors:- Supriya Manglekar, Shrutika Kakde, Pragati Kumar, JSS Krishnakanth

Abstract:- In this quickly developing period of advances, clients or customers assume an exceptionally essential job in basic leadership then it is possible that it will be for business associations, corporate associations or other individual shoppers. Consequently for business development or shopper fulfillment it is important to make strategies or systems that naturally takes a shot at characterization about any items. This technique can be accomplished by building a proposal framework utilizing an ebb and flow look into point in the field of content mining known as slant examination. An effective suggestion framework can be characterized as a framework which encourages client to settle on choice in numerous viewpoints. In actuality, building such a framework will be an extremely troublesome methodology. In this venture, we will attempt to discover the answer for conclusion in various areas, Sentiments of clients with respect to the items gave by sites like Twitter, Amazon, Flipkart, Oyo, Zomato, Olx are considered. Assessments of the clients are as appraisals and surveys. The principle objective of this work is to consolidate suggestion framework and feeling examination to get a progressively precise framework for clients.

A Review Article of Ptc Based Higher Efficient Hybrid Plants
Authors:- M.Tech. Scholar Sandeep Kumar, Associate Professor Suresh Kumar Badholiya

Abstract:- Now a day’s electricity is most needed facility for the human being. All the conventional energy resources are depleting day by day. So we have to shift from conventional to non-conventional energy resources. In this the combination of two energy resources is takes place i.e. PTC, wind and thermal energy. This process reviles the sustainable energy resources without damaging the nature. We can give uninterrupted power by using hybrid energy system. Basically this system involves the integration of two energy system that will give continuous power. Solar panels are used for converting solar energy and wind turbines are used for converting wind energy into electricity. This electrical power can utilize for various purpose. Generation of electricity will be takes place at affordable cost. This work deals with the generation of electricity by using two sources combine which leads to generate electricity with affordable cost without damaging the nature balance.

Hybrid Teacher Learning and Particle Swarm Optimization Based Dynamic Load Balancing
Authors:- Vinod Patidar, Dr. Shiv Sakti Shrivastava

Abstract:- A digital platform objective is to split information, estimation, and service evidently over a scalable system of nodes. While Cloud computing a service accumulates the information and dispersed resources in the release atmosphere. Consequently load balancing in this atmosphere is a key problem. This paper has resolve this issue by developing a dynamic algorithm which generate job sequence as per available resources. This paper has proposed a hybrid genetic algorithm where Particle Swarm Optimization PSO and Teacher Learning Optimization TLO algorithms operation were combined to generate low cost job sequences. Experiment was done on real dataset job sequences. Results were compared with existing algorithm on different evaluation parameters and it was obtained that proposed TLPSO algorithm values are better.

Document Class Identification using Fire-Fly Genetic Algorithm and Normalized Text Features
Authors:- Vinod Patidar, Dr. Shiv Sakti Shrivastava

Abstract:- Increase of digital platform resources ultimately raises the text content on different platform, so organization of this unstructured data is highly required. Researcher has proposed number of techniques to filter relevant data inform of feature so enhancing the understanding of work. This paper has work on clustering the document of research filed into respected class. Here paper has proposed an modified firefly genetic algorithm for clustering of document into respected cluster. Fire fly crossover operation was modified in this paper where best chromosome update rest of population. Pattern based features were evaluate from the text content. Normalized content feature were used for the work. Experiment was done on real set of research paper taken fro various research domain. Results were compared on different evaluation parameters with exsisting model and it was obtained that proposed model of FFDC( Fire Fly Document Classification) was better than other.

Robust Intrusion Detection System using SVM and Artificial Neural Network
Authors:- Raj Kumar Panday, Dr. Shiv Shakti Shrivastava

Abstract:- With large increase of internet user’s network security is important issues in today era. As variety of users have different requirement, so proper identification of safe network is required. This work focus on the network intrusion detection using SVM and neural network. Here SVM classify network behavior into two class first is safe and other is unsafe. Once unsafe network is identified then trained neural network identified attack type of the input sessions. So Whole work is divide into two modules, first is separation of safe and unsafe session from the dataset using SVM. Then in second module identification of type of intrusion is done in unsafe network by EBPNN. Experiment is done on real dataset and obtained results are better than previous works on different parameters.

Statement Analysis using NLP
Authors:- M.S.Vinu, P.Mohan, S.Ganesh Moorthy, M.Gobinath

Abstract:- We aim to draw on an important overlooked poten- tial of affective dialogue systems—their application to promote positive emotional states, similar to that of emotional support be- tween humans. This can be achieved by eliciting a more positive emotional valence throughout a dialogue system interaction, i.e., positive emotion elicitation. Existing works on emotion elicitation have not yet paid attention to the emotional benefit for the users. Moreover, a positive emotion elicitation corpus does not yet exist despite the growing number of emotion-rich corpora. Towards this goal, first, we propose a response retrieval approach for positive emotion elicitation by utilizing examples of emotion appraisal from a dialogue corpus. Second, we efficiently construct a corpus using the proposed retrieval method, by replacing responses in a dialogue with those that elicit a more positive emotion. We validate the cor- pus through crowdsourcing to ensure its quality. Finally, we pro- pose a novel neural network architecture for an emotion-sensitive neural chat-based dialogue system, optimized on the constructed corpus to elicit positive emotion. Objective and subjective evalua- tions show that the proposed methods result in dialogue responses that are more natural and elicit a more positive emotional response. Further analyses of the results are discussed in this paper.

Optimization of Parameters To Reduce The Surface Roughness in Face Milling Operation on Stainless Steel and Mild Steel Work Piece Applying Taguchi Method
Authors:- Research Scholar Yogesh Raut, Associate Prof. Dr. Amit Bahekar

Abstract:- This experimental study is based on the optimization of milling parameters to reduce the surface roughness in face milling operation using Stainless Steel (SS) and Mild Steel (MS) Work Piece. This experimental study will conduct under the three varying parameters depth of cut, spindle speed and feed rate. The settings of milling parameters will determine by using the Taguchi experimental design of L9 Orthogonal array method. All the nine experiments have conducted using a Stainless Steel and Mild Steel work piece and the roughness was checked using the surface roughness tester. Minitab 19 software has used to find out the combination of the optimum milling parameters by using the analysis of Signal-to-Noise (S/N) ratio. This experimental study will help in decreasing the surface roughness using the optimal combination of the milling parameters.

Traffic Management Through Roundabout at Major Intersections in Khargone City
Authors:- PG Student Mohd Rehman Sheikh, Asst. Prof. Vinay Deulkar

Abstract:-The traffic clogs are the serious issue in any creating city. Khargone city being a creating city having traffic issue in a few crossing points that is the reason, Traffic Rotary at street convergences is unique type of level difference in paths to channelize development of vehicles a single way around a focal traffic island. With quick development of traffic it is encountered that enlarging of streets and giving flyovers have gotten basic to conquer significant clashes at crossing points, for example, impact among through and right turn developments. Along these lines, significant clashes are changed over into milder clashes like combining and wandering. The vehicles entering the turning are delicately compelled to move a clockwise way. They at that point weave out of the revolving to the ideal course.

Smart Ambulance with Traffic Control
Authors:- Mr.Prashanth H S , Sandhya D, Shalini V, Sheela, Vydehi Bhat

Abstract:- Road traffic jam becomes a serious issue for extremely huddled metropolitan cities. Ambulance service is one in all the main services that gets delayed by traffic jams. An ambulance or any emergency vehicle stuck in traffic is unable to cross the signal due to poor traffic signal controller. This project aims at providing a solution by alerting the traffic controller before the ambulance reaches the traffic pole using the concept of Internet of Things (IoT).

Vibration Signal Denoising And Fault Diagnosis Of Rotating Machine: A Review
Authors:- M.Tech. Scholar Virendra Singh Rajput, Assistant Prof. Seema Shukla

Abstract:- Vibration signal plays very important role in fault diagnosis of machine because it carries dynamic information of the machine. Signal processing is essentially needed to process and analyse signal but it is difficult to process and analyse the noisy signal. In many cases the noise signal is even stronger than the actual vibration signal, so it is important to have some mechanism in which noise elimination can be effectively done without affecting the actual vibration signal. This paper presents two robust techniques for denoising of vibration signals corrupted by Additive White Gaussian Noise. The proposed method uses the Stationary Wavelet Transform (SWT) and the Dual Tree Complex Wavelet Transform (DTCWT). The proposed methods are very efficient due to their shift invariance property and have reduced aliasing effect than other methods such as Discrete Wavelet Transform (DWT), Continuous Wavelet Transform (CWT), Short Time Fourier Transform(STFT) etc.

A Review on Designing of Photovoltaic System Based on The Enhanced P&O Algorithm
Authors:- M.Tech. Scholar Shrangarika Dehariya, Associate Professor Dr. Dolly Thankachan

Abstract:- In this paper a structure of the photovoltaic system with MPP algorithm and function is generated which is the combination of structures of discovering solar module and DC-DC buck-boost converter along with algorithms of observation and perturbation P&O. The system stimulates inside the different conditions of climate and MPPT algorithms. By comparing the results of the simulation it is found that the tracking of the power accurately in the photovoltaic simulation system is done by using the MPPT algorithm. MPPT and P&O algorithm gives fast and quick output and it regulates PV output voltage. The major part in this process is played by the renewable energy which is solar energy.

World-Wide Manufacturing Overview: A Discussion On The Future
Authors:- Graduate Student and Review Fellow Nuzhat Fatima

Abstract:- This paper is describing about the manufacturing situation in the world. Today’s era is of industry, machine and continuously developing technology. The present world has been developed unexpectedly than the past. Now a days, without manufacturing technology, survival is in-imaginable. The author wants to highlight an overview of present condition and a corresponding analysis of the future.

Literature Survey on Current Public Bus Transportation
Authors:- Snehal Jose, Daniel Anto, Robin K M, Associate Prof. & Dr. R. Satheesh Kumar

Abstract:- Now days lots of passengers struggling to find correct bus which they supposed to enter.The fare collection system which currently in bus transportation is not efficient and corrupted. The conductors collect different amount of money from different persons also they will not give balance also.In this paper we are mainly focusing about different technologies that are available for smart use of bus transportation. Now all around the globe there are many new technologies that make bus transportation smart. The main technologies like BRTS, Rav Kav card etc.The system will help passengers to track each bus.that is the main advantage of our system. Also it helps to anti-corruption and efficient use of bus transportation system.

A Survey on Big Data Analytics: Challenges Of Big Data Integration, Open Research Issues And Tools
Authors:- GeyaSudha Singanamalla, Sree Devi E

Abstract:- Data has evolved in the last 5 years like never before. Lots of data is being generated each day in every sector such as social media, E-Commerce, Tech giants Organizations have slowly started realizing that they would be interested in working on all the data. Organizations are interested in doing precise analysis and they want to work on different formats of data such as structured, unstructured and semi structured data. Organization are trying to gain the inside data or to find the hidden treasure in so called Big Data. Now, any Organization would want to have a solution which allows them to store huge amount of data, capture it, process it, analyze it and also look into the data to give more value to the data. So, Big Data analysis is a current area of research and development. The basic objective of this survey paper is to give an idea on the potential impact of big data challenges, open research issues and various tools associated with big data. As a result, this article provides a platform to explore and provides the organizations and the researchers to develop the solution to big data based on the challenges and open research issues.

Secure Data Sharing in Mobile Cloud Computing
Authors:- Arshad Azmi, Associate Aarti Gautam Dinkar

Abstract:- Mobile cloud computing (MCC) is one of the technologies essential in today’s mobile environment run by using mobile devices in cloud environment. MCC has been imagined as the cutting-edge technology of IT enterprise. It combines both the features of mobile computing and cloud computing. It moves the application programming and databases to the unified datacenters, where the administration of the information and administrations may not be completely reliable. With the advancements in the field of MCC, security is a major issue. Some of the common security issues regarding data are like- risk of data theft, violation of privacy rights and loss of physical security, handling of encryption and decryption keys, data storage security. In this paper we provide a solution for data storage security and handling of encryption and decryption keys issues. In this paper we proposed a method which is implemented by combining the concepts of Diffie- Hellman Key Exchange (DHKE) algorithm and Blowfish algorithm. In this proposed scheme, at first a computer user will encrypt a file using a secret key generated by blowfish algorithm. Then using DHKE protocol a shared private key will be generated for two users who are trying to communicate. Presently if the subsequent user needs to decrypt the document encoded by the primary user, he/she needs to use the mutual key for authorization. When the permission is granted, the document can be decrypted by using blowfish algorithm. These proposed mechanisms can securely share and store data in cloud environment.

Cancer Detection Using Minimum spanning tree with Hyperspectral Images
Authors:- Asst. Prof. M.Gowtham Raj, Prof. P. Geetha

Abstract:- Cancer remains a major cause of mortality around the world. Survival and life quality of the patients connect straightforwardly to the measure of the essential tumor early discovery of dangerous tissue might move forward both the frequency and the survival. Rather than conventional biopsy, it’ll be perfect to put forward the cancer location utilizing intrusive procedures, it can make the treatment more viable and basic Here a self-sufficient classification strategy has been presented that combines both spectral and spatial data on hyperspectral images of a tissue in recognizing cancerous by means of an automatic calculation based on Minimum Spanning Forest (MSF) and Optimal band has been proposed to classify cancerous tissue on hyperspectral images. A support vector machine classifier is prepared to form a pixel-wise classification likelihood outline of cancerous and solid tissue. This outline is at that point used to distinguish markers that are used to compute common data for a run of groups within the hyperspectral image and in this way select the optimal groups. An MSF is at last developed to section the image utilizing spatial and spectral data. The SVM classifier is used to recognize between the typical or irregular tissue based on the MSF Marked region.

Disinfectant Efficacy Testing of Imago & Getter Disinfectant on non-porous surfaces using Surface Challenge Test
Authors:- Sachin D. Joshi, Dr. Imran Memon, Dr. Tahur Shaikh, Idris Khan, Surjeet Samanta, Komal Kumari, Romil Dagha

Abstract:- Disinfectants are used to maintain the bioburden of any facility under limits and making them free from any external or internal pathogenic intervention.The cleanroom area of any pharmaceutical facility comprises of different surface, these surfaces are easier to disinfect and so the cleaning and disinfection programs complement each other. The Disinfection efficacy and validation studies are carried in consistent with the United State Pharmacopeia <1072> Disinfectants and Antiseptics protocol. This study was aimed to generate data to provide a high degree of assurance that the disinfection program will consistently yield results that meet pre-determined specification by using different types of Imagard brand disinfectant. The recommended concentration of all the disinfectant at precise time i.e., 10 minutes showed excellent log reduction against the standard test organisms. The results proved that Disinfectant Imagard HD, Imagard IG PRO 401, Imagard IL 15, Imagard AS 10, Imagard SF 25 and Imagard Plus are effective against the standard test organisms. These data add a layer of product safety and generate confidence in the customer’s ability to deal with an unexpected contamination event.

Printing Solution: Online Printing with The Help of Android Mobile Application
Authors:- Mohammad Arsalan Adil, Vaibhav Daf, Rohit Kelzarkar, Karan Potdukhe, Ashish Pardhi

Abstract:- This paper presents the “printing solution” android mobile application for printing, which helps customers to print their printing stuff online without going to a different printing press. Now a day’s printing has become the part of everyone’s life, whether it is businessman, commercial dealer, wholesale dealer, shopkeeper, teacher, student, etc all are connected to printing. Today customers are visiting printing press to print their printing stuff, but with the help of printing solution mobile application customer are no longer need to go to the printing press, by sitting at their home they can print number of things at any time. The “printing solution” mobile application consists of printing options such as visiting cards, wedding cards, bill books, letterheads, banners, pamphlets, etc. All these options are available to a customer for printing. The android studio software is used to make this application, xml language is used for designing the front end and java language is used for backend connectivity and firebase is used as a database.

Improved RSA Algorithm Based on Cloud Database using Proth Number and Mersenne Prime Number
Authors:- Aditya Kumar

Abstract:- The purpose of this study is to improve the strength of RSA Algorithm and at the same time improving the speed of encryption and decryption. RSA algorithm or Rivest-Shamir- Adleman algorithm is named after Ron Rivest, Adi Shamir and Len Adleman, who invented it in 1977-78. The RSA crypto-system is the most widely-used public key cryptography algorithm in the world. Its security is based on the difficulty of factoring large integers. This paper presents an improved RSA algorithm which is superior to the original RSA algorithm in terms of strength of encryption and speed of encryption and decryption. This includes the strengthened form of RSA algorithm along with the architecture of the proposed algorithm. A cloud based database is used store the keys in advance. The modified RSA algorithm is compared on various aspects with the original RSA algorithm and the proposed algorithm certainly improve the strength and speed of computation. The experimental result shows that the encryption time remains more or less similar to the original RSA even though the complexity of calculation is increased. The decryption time is reduced considerably as compared to the original algorithm.

Survey on A New Controller for Bi-Directional Wireless Power Transfer Systems
Authors:- M.Tech. Scholar Manish Kumar, Assistant Professor Poonam Khatarkar

Abstract:- Wireless power transfer (WPT), which transmits power by an electromagnetic field across an intervening space, provides the prospect of new opportunities for electric vehicles (EVs) to enhance sustainable mobility. This review article evaluates WPT technology for EV applications from both technical and sustainability perspectives. The distinct research on, efficient WPT design for low power applications encompasses on designing proper coupling circuit by considering application constraint and addressing different issues in the resonant coupled circuit. This section analyzes the technical literature related to WPT links, capacitive power transfer, power transfer to multiple receivers, interference-free simultaneous power transfer, spatial misalignment mitigation technique and navigational force generation using magnetic circuits.

Result Analysis on New Controller for Bi-Directional Wireless Power Transfer Systems
Authors:- M.Tech. Scholar Manish Kumar, Assistant Professor Poonam Khatarkar

Abstract:- Challenges and opportunities remain in the design and deployment of WPT EV systems. Dynamic wireless charging offers opportunities for sustaining the battery charge while driving so that the large battery pack that represents a bottleneck for deploying EVs can be eliminated and range anxiety will be reduced. The environmental, economic and societal impacts of large scale infrastructure deployment and performance in terms of energy efficiency, durability, and reliability must be carefully evaluated for prospective real-world deployment of dynamic WPT EVs. Stationary WPT for residential and commercial charging is expected to have earlier wide spread adoption than dynamic charging given its technical maturity and economic feasibility, while dynamic WPT could be implemented gradually if the market develops enough to significantly lower the high initial infrastructure cost.

An Excess Food Redistribution Framework Using Smart Container
Authors:- Mrs.Sougandhika Narayan, Shreelekha R N, Shrividya N, Varshitha K, Rashmi Hegade

Abstract:- A trusted and active community aided and supported by the Internet of Things (IoT) is a key factor in food waste reduction and management. This paper proposes an IoT based context aware framework which can capture real-time dynamic requirements of both vendors and consumers and perform real-time match-making based on captured data. We describe our proposed reference framework and the notion of smart food sharing containers as enabling technology in our framework. A prototype system demonstrates the feasibility of a proposed approach using a smart container with embedded sensors..

A Literature Review on Study of Silica Fume as Partial Replacement of Cement in Concrete
Authors:- Kausthibh A. Pashankar, Lecturer A. S. Patil, Asst. Prof. P. M. Thorat

Abstract:- India is a developing country. Many construction projects are going on and many projects are proposed in near future. If we evaluate some of the projects in past, we find that they cannot sustained due to lack of enough considerations towards the sustainability of these projects during the planning stage. This is about the sustainability of individual projects. In broad context the construction sector consumes lot of natural resources in the form of material and fuel. This has adverse effect on the environment and ecology. The emission of CO2 in production processes contributes to global warming. Use of alternative materials, production processes, reuse and recycling of waste materials will help in preserving the natural resources. In recent study, there has been a considerableattempts for improving the properties of a concrete with respect to a strength and durability, especially in aggressive environments. High performance concrete is appears to be a better choice for the strong and durable structure. A large amount of the by-product or a wastes such as fly-ash, copper slag& silica fume etc. are generated by industries, which causes environmental as well as health problems due to dumping and disposal.Proper introduction of the silica fume in the concrete improves both the mechanical and durability characteristics of the concrete.

Review of Under Water Communication
Authors:- ME Scholar Rajju Jambekar, Assistant Professor Nilesh Parmar

Abstract:- This paper explains briefly our research directions in the field underwater sensor networks. We explain potential applications to off-shore oil fields for equipment monitoring, seismic monitoring and underwater robotics. We describe research directions in MAC, short-range acoustic communications, localization protocols and time synchronization for high latency acoustic networks, application level time scheduling and long-duration network sleeping.

Analysis of a method of Video Preprocessing with the help of Optical Character Recognition And Natural Language Processing
Authors:- B.Tech. Scholar Samarth Bajaj, Assistant Professor Viplove Divyasheesh

Abstract:- This research paper mainly focuses on the algorithm of searching for videos on YouTube, Daily Motion, Crackle, etc. At present whenever we want to search a video on any platform we search it by the name of the video and the contents that are given by the video maker, we are not able to search a video on the basis of the theoretical contents in that video. Though we can easily search a video if it is not based on theoretical content but if the video is purely theoretical and we are searching it for the first time then at present we cannot search that video by the content shown in that video. So, in this paper, we will understand how it is possible to search a video on the basis of the theoretical content in that video.

Sheet Metal Forming Processes Recent Technological Advances
Authors:- Saket Kumar Singh

Abstract:- The sheet metal industry has seen more technological advances than any other since the last century. Right from hand-forming processes to finite element based simulation, the transformation is very significant. They have prominent industrial applications especially in automotive industries. This may be attributed to the ease with which the final component with desired shape and appearance can be produced using simple tools. Due to wide range of applications, the process of forming the sheet metal into various shapes leads to classification of the forming processes based on specific operation. This classification involves bending, blanking, stretch forming and deep drawing. Each process has some parameters that define the quality of the work achieved. This paper aims at scattering light on the recent research and developments in the sheet metal forming processes over the last two decades. Most of the literature available on sheet metal forming focuses on the parameters that influence the quality and economic factor of the final product. The influence of process parameters based on geometry such as punch nose radius, blank temperature, and blank holding force, tooling dimensions, blank thickness and punch depth is significant. Similarly, the parameters based on the material properties like elastic strength, yield strength, plasticity and anisotropy have as much influence as the geometry based parameters. The literature raises the issue of defects in the formed parts. Defects such as wrinkling, tearing, springback, local necking and buckling in regions of compressive stresses have been analysed using both experimental and simulation techniques. Springback, the most predominant defect, has been researched thoroughly while considering sheet thickness, punch force, nose radius, binder force, die opening, punch velocity, punch height, sheet anisotropy, clearance, elastic limit and yield strength of the blank material as input parameters. Lastly, this paper also aims at reviewing the finite element based tool design, experimental and numerical investigations into sheet metal for ming processes.

Internet of Things: Survey on Future and Challenges
Authors:- Research Scholar Ahmed Mohamed Maher, Mca, Ph.D, Asst. Prof. S.Suganya

Abstract:- The computer science growth vary fast , and thanks to growing technology continuously One such concept is IoT (Internet of things) with which automation is no longer a virtual reality, IoT connects various non-living objects through the internet and enables them to share information with their community network to automate processes for humans and makes their lives easier. The paper presents the evaluation study of IoT,such as the technical challenges (connectivity , compatibility and longevity , standards , intelligent analysis and actions , security),the IoT architecture mainly requires two types of technologies: data acquisition technologies and networking technologies. Many technologies are currently present that aim to serve as components to the IoT paradigm. This paper aims to categorize the various technologies and challenges present that are commonly used by Internet of Things.

Contrivance Management using Arduino and Motion Detector
Authors:- Assistant Professor G.Vikram, Assistant Professor M. Narendra Prasad

Abstract:- Gadget Control Framework utilizing Arduino and PIR (Inactive Infrared) Sensor can be utilized to turn ON and OFF the lighting framework of domestic naturally or any other framework by identifying the nearness of human. This framework can be utilized in carports, classrooms, staircases, lavatories, etc. where there’s no require of nonstop light but only when there’s a human. Moreover, there’s no have to be stress approximately power bills as the lights get OFF when there’s no human and thus one got to pay the bills as per utilize. This paper proposed as almost programmed contraption control framework which consequently controls the room lights utilizing Arduino and PIR sensor. The most components utilized in this framework are Arduino Uno, PIR sensor and Hand-off Module. Out of these components, the operation of framework primarily depends on PIR sensor which makes a difference in recognizing human nearness.

Ultrasonic Technique for Physco-Mechanical Evaluation of Tungsten Alloys by Taguchi Technique
Authors:- A A Rabee, A M Abdelhay, M A Bahlol, Arafa S Sobh, A H Elsayed

Abstract:- Nine versions of the basic Tungsten heavy alloy “90W–7Ni–3Co “were investigated for optimal characteristics. These versions of the WHAs were manufacturing via powder metallurgy (P/M) technique. Involved PM preparation parameters together with the additions of specific percent of the Nano-particles of graphene were nondestructively evaluated. Study showed the effectiveness of using Taguchi Technique in representing and analyzing experimental results. Each alloy version has its own specific chracteristics, where influential primary affective parameter was ranked.

Web Application Vulnerability Exploitation using Penetration Testing scripts
Authors:- Shubham Rawat , Tushar Bhatia, Eklavaya Chopra, Asst. Prof. Akanksha Dhamija

Abstract:- Now a days many Webapps are being developed which on the one hand are beneficial but on the same part contains a lot of vulnerabilities. Most of the work which remains untouched is web security. Online shopping and web services are increasing at rapid rate. Cross Site Request forgery(CSRF) and Cross side scripting(XSS) are some of the top vulnerabilities. Going through this paper, we will cover a lot of vulnerabilities that are present in webapps and will be presenting some real world threats to the web apps. The vulnerabilities will be found out by the help of penetration testing. Various threat models for the vulnerabilities are also mentioned to give a good understanding about them.

Sentimental Analysis on Amazon Fine Food Reviews
Authors:- Kartikay Thakkar, Sidharth Sharma, Ujjwal Chhabra, Asst. Prof. Ms Charu Gupta

Abstract:- In the era of social media and internet, sentimental analysis is extremely useful in social media monitoring as it allows us to gain an overview of the wider public opinion behind certain topics. Our research is focused on to make prediction model where we will be able to predict whether a recommendation is positive or negative. in this analysis , we will focus on score as well as positive/negative sentiment of the recommendation. The analysis proves that logistic algorithm provides the best sentimental analysis result. Our results were further verified by the amazing accuracy of the Logistic regression classifier as well.

A Survey of Attacker Identification and Security Schemes in MANET
Authors:- M. Tech. Scholar Alok Gupta, Nikhil Ranjan

Abstract:- Security has become a crucial issue between the mobile nodes in Mobile Ad hoc Network (MANET). MANET is usually a lot of liable to physical security attacks and threats than the fixed- cable networks. The inherent characteristics of MANET like wireless medium, highly dynamic topology, distributed cooperation, resource strained capability, and restricted physical security poses variety of nontrivial security challenges to the network. Hence, social control of security through secure routing protocol becomes a very crucial task. Non-optimal routes are results of malicious modification through offender and inconsistent routing data exchange by offender during packet forwarding. The dynamic nature of MANET causes link breaks and new path ought to be search which cannot be optimum. In this paper, a trial has been created to think about the malicious varied attacks and security schemes proposed by various researchers and also proposed the some new approach against wormhole attack in MANET. In this paper we highlight the overview of MANET with description of routing protocols, security issue and attacks in MANET. Actually we focus on different types of attack and also present the some security scheme against attacks.

A High Sequence Value and Packet Dropping based Security Scheme in MANET
Authors:- M. Tech. Scholar Alok Gupta, Nikhil Ranjan

Abstract:- The malicious nodes are always stump intermediate nodes in routing procedure because these nodes are only receive and forward respond of surrounding neighbour. The intermediate nodes work is very responsible in routing procedure with continuous movement. In this research we proposed Malicious Sequence Number Identification (MSNI) security algorithm against malicious blackhole attack in MANET. The blackhole nodes The proposed security method of finding attacker is based on the identified the fake information of route in the network. The proposed scheme is detect the attacker presence and also estimate total number of packets is dropped by Blackhole attacker in network. The packet dropping on link through node is detected and prevented by security system. The blackhole presence is makeable in different node density scenarios and the single as well as multiple presences is detected by MSNI scheme. This method not only identified the balckhole nodes but also prevent from routing misbehaviour of attacker nodes. security is less effective on attacker/s. The performance of existing security scheme is compare with proposed MSNI and the performance of existing scheme is pitiable. The proposed secure MSNI is securing the MANET and improves the network performance after blocking malicious nodes in network. The network performance in presence of attack and secure MSNI is measures through performance metrics like throughput, routing packets flooding and proposed secures routing is improves data receiving and minimizes dropping data network as compare to existing security scheme.

Design & Analysis of Intake Manifold for SAE SUPRA
Authors:- Shubham Karkar , Omkar Kamble

Abstract:- This research paper aims to optimize the intake manifold of a formula SAE car competition. We are going to discuss about design & manufacturing of intake system for 390CC engine. We have used the 3-D printing technology to manufacture the following parts: -Restrictor, Plenum, Runner As a result, in this approach the geometry has been redesigned to result in reduction of weight. Analytical calculations are done to get maximum mass flow rate and minimum pressure drop across the restrictor. The intake manifold is designed with accordance to the SAE rule book which requires a restrictor of 20mm to be fitted in the intake manifold.

Satellite Image Fusion Based on Improved Wavelet Transform
Authors:- E.Gopi Krishna

Abstract:- The images captured by various satellites are high resolution images will also provide some distortion compared with original image. To avoid this problem we have number of basic transformations of image. Out of those, some frequently used fusion techniques namely IHS, PCA and Wavelet are discussed in this paper. Out of these three fusion methods, wavelet method is compared with two different fused rules. Improved DWT methods are, DWT using spatial frequency and DWT using mean max standard deviation. The proposed method (Improved DWT) performs better quality of fused image with good spatial and spectral resolution. This work addresses the increase in spectral distortion, entropy, mean, mutual information and standard deviation of fused image.

Deep Web and Cyber Crime
Authors:- Soham Mehta

Abstract:- The phrase “DEEP WEB” is used to denote content on the Internet which is not indexed by search engines.Among the different strategies in place to bypass search engine crawlers, the most efficient for malicious performers are so called “darknets”. I have analysed and researched on how malicious performers use these networks to trade goods and other services and examined how the deep web works, along with the goods and services offered. Due to a large variety of goods and services available in these marketplaces, I have focused on those that sparked the most interest from cyber crooks.

A Review on Grid-Connected PV Inverter with Inductive Dc Link for Three-Phase Transformer Less
Authors:- M.Tech. Scholar Sameer Goel, Professor Pragati Priya, Professor Manju Gupta

Abstract:-The need for cleaner surroundings and also the continuous increase in energy desires makes localized renewable energy production more and additional necessary. This continuously-increasing energy consumption overloads the distribution grids in addition because the power stations, so having a negative impact on power availability, security and quality [1]. One among the solutions for overcoming this can be the Distributed Generation (DG) system. dg systems using renewable energy sources like solar, wind or hydro, have the advantage that the ability is made in shut proximity to wherever it’s consumed. This manner the losses because of transmission lines aren’t present.

Grid-Connected PV Inverter with Inductive Dc Link for Three-Phase Transformer Less
Authors:- M.Tech. Scholar Sameer Goel, Professor Pragati Priya, Professor Manju Gupta

Abstract:- In the last decade solar power technologies became less costly and additional efficient, that have created it to an attractive resolution, being cleaner and additional environmentally friendly energy resource than traditional ones like fossil fuels, coal or nuclear. yet, a PV system continues to be rather more expensive than traditional ones, because of the high producing prices of PV panels, however the energy that drives them -the lightweight from the sun- is free, offered nearly everyplace and can still be present for many years, long in spite of everything non-renewable energy sources are depleted. One in every of the main benefits of PV technology is that it’s no moving components. Therefore, the hardware is very robust; it’s a long time period and low maintenance necessities. And, most significantly, it’s one resolution that gives environmentally friendly power generation. The efficiency of economic PV panels is around 15-20%. Therefore, it’s important that the power created by these panels isn’t wasted, by using inefficient power electronics systems. The efficiency and reliability of each single-phase and 3 part PV inverter systems is improved using transformer less topologies, however new issues related to escape current and safety need to be dealt with.

Supply Chain Management System Using Blockchain and IOT
Authors:- Saish Shah, Manas Maheshwari, Ayush Singh

Abstract:- The more traditional strategy to the supply chain was always a website that had to be set up or hosted by a supplier on a server. The supply chain data is centralized here, which means that the company only gets the information provided to it by the hosting company, and most of the important data is not received by the company in some cases which results in a conflict between the company and the customer on the hosting’s expense. So, our idea is to implement the supply chain using block chain technology along with IOT, this idea will enable the company to share the necessary data with the manufacturers, suppliers and the customers, hence, inducing transparency of data within the company. IOT also plays an important role in this, IOT ensures that there are no inconsistencies during the process and enables automation. So, our basic idea is to implement supply chain management using block chain to reduce complexity and induce transparency by hosting a server of its own and IOT for automation.

Vertical Jump Height and Sprint Performance In State Level Soccer Players
Authors:- Research Student Atri Nitin, Assistant Professor Kadyan Gaurav

Abstract:- Plyometric training (PT) is a widely used method to improve muscles’ ability to generate explosive power. Plyometric is a type of exercise training designed to produce fast, powerful movements, and improve the functions of the nervous system, generally for the purpose of improving performance in a specific sport. Purpose of study: To find out the better plyometric training protocol for Soccer players to improve their vertical jump height performance on headed the ball and to improve their sprint performance. Methodology Sixty healthy soccer players (forty females and twenty males ) within a age group of 18-22 years were randomly selected after testing the inclusive and exclusive criteria and divided into group A (n= 30, females= 20, males= 10) and group B (n= 30, females= 20 and males= 10). Both groups underwent two different plyometric protocols; each for 6 weeks, 2 times per week. The pre and post testing of Sargent jump test and 40- meter maximal sprint test were taken 0 week and 6 week for measuring the vertical jump height performance and sprint performance respectively. Result Both groups showed significant improvement in vertical jump height performance and sprint performance but there was no significant difference in both groups on vertical jump height performance and sprint performance. Both types of plyometric training are equally effective in improving the vertical jump height performance and sprint performance state level soccer players.

System Design for Natural Circulation Of Heat Exchanger
Authors:- Research Scholar Mohd Attalique Rabbani, Prof. Supervision Registrar Dr.G.R.Selokar

Abstract:- The primary function of a Natural Circulation Loop (NCL) is to transport heat from a source to a sink. The stabilization of loop fluid is achieved with the introduction of nano particles. The fluctuations in the velocity vs time curve would be decrease order and almost become linear with time. The main advantage of the natural circulation system is that the heat transport function is achieved without the aid of any pump.Also the enhancement of flow rate in the loop may be record with the increase of temperature of heat source and also with the increase of volume fraction of Al2O3 in nano fluid. Ultrasonic velocity of a liquid is identified with the coupling powers between the iotas or the molecules.The accurate estimation of thickness, viscosity, ultrasonic velocity and subsequently the determined parameters, free volume and related parameters will give noteworthy data with respect to the state of affairs in an answer.

Analysis of Non-Orthogonal Random Access for 5G Networks using MATLAB
Authors:- Damaraju Sri Sai Satyanarayana, Bejgum Sai Phanindra, Biruduraju Aditya Hruday, Gunda Sai Preethi, Kunapareddy Gowri Shashank

Abstract:- For the next generation of Cellular and Wireless communication systems, the key requirements are to efficiently support a massive amount of User Equipment’s. In this paper, to reduce the access congestion problem, the Non-Orthogonal Random Access (NORA) scheme based on SIC is proposed. This scheme identifies multiple user equipment’s with an identical preamble by utilizing the time of travel difference which thus enables power domain multiplexing. On Simulation, Results show that the number of user equipment’s can be improved by 30% and the access delay is also reduced significantly.

Document Class Identification using Fire-Fly Genetic Algorithm and Normalized Text Features
Authors:- Jitendra Yadav, Prof. Sumit Sharma, Prof. Pranjali Malviya

Abstract:- Increase of digital platform resources ultimately raises the text content on different platform, so organization of this unstructured data is highly required. Researcher has proposed number of techniques to filter relevant data inform of feature so enhancing the understanding of work. This paper has work on clustering the document of research filed into respected class. Here paper has proposed a modified firefly genetic algorithm for clustering of document into respected cluster. Fire fly crossover operation was modified in this paper where best chromosome update rest of population. Pattern based features were evaluate from the text content. Normalized content feature were used for the work. Experiment was done on real set of research paper taken fro various research domains. Results were compared on different evaluation parameters with exsisting model and it was obtained that proposed model of FFDC (Fire Fly Document Classification) was better than other.

Smart Adaptive Machine Learning Based Laptop Stand (Workbit)
Authors:- Reetu Jain, Shekhar Jain, Pratham Papneja, Atharva Nihalani, Nischal Patel, Radha Krishna,

Abstract:- White-collar workers who sit at desks all day face different risks than a delivery driver who wrangles boxes all day. Sitting in the same position working at a computer terminal which can increase the potential for herniated discs. Office workers also suffer from poor posture, tending to slump their shoulders inward as they sit and type, which can lead to muscle atrophy and increased strain on musculoskeletal joints. To prevent this, we have created an intelligent stand called “WorkBit” objective is to provide an interactive work health trainer on every desk that can monitor your daily work health and help you take preventive measure such that, person productivity increases, overall wellness increases, less stress, improved posture, less strain on the eyes, improved sleep patterns thus maintaining “WORK HEALTH BALANCE”. Our proposed solution is a highly sophisticated laptop stand mounted on wheels. It detects how far away the user’s face is from the laptop and can accordingly move in the four directions on the plane it rests on. It can even raise the laptop by 12 cm thus if the user’s table is too short, the laptop can still be raised to eye-level to avoid putting a strain on the neck.

A Review Article of Monitoring of Interconnecting Transformer using Ann
Authors:- Monika Patel, Associate Prof. Arun Pachori

Abstract:- Increase of digital platform resources ultimately raises the text content on different platform, so organization of this unstructured data is highly required. Researcher has proposed number of techniques to filter relevant data inform of feature so enhancing the understanding of work. This paper has work on clustering the document of research filed into respected class. Here paper has proposed a modified firefly genetic algorithm for clustering of document into respected cluster. Fire fly crossover operation was modified in this paper where best chromosome update rest of population. Pattern based features were evaluate from the text content. Normalized content feature were used for the work. Experiment was done on real set of research paper taken fro various research domains. Results were compared on different evaluation parameters with exsisting model and it was obtained that proposed model of FFDC (Fire Fly Document Classification) was better than other.

A Review Article Optimization of Electric Field Stress on High Voltage Insulator
Authors:- Satyam Parashar, Associate Professor Arun Pachori

Abstract:- To reviewstudy the effect of contamination on the insulator upon the tangential field, the simulation charges is replaced by complex charges. The contamination layer is simulated by a uniform surface resistivity along the insulator. The magnitudes of the simulation charges (real and imaginary components) are determined by a fore mentioned concept of error-function minimization. First, the algorithm is developed for calculating the tangential field is explained. Then the method of optimization is discussed, and the effect of contamination on the calculated tangential field distribution is investigated showing how the developed algorithm will accommodate this effect. Finally, the results obtained are discussed.

Real Time Video Fog Dehazer for Automobiles
Authors:- Nishal P A, Vaisakh Anil, Sivaprasad V B, Asst. Prof. Linnet Tomy

Abstract:- Driving vehicles in foggy climatic conditions may end in serious accidents, and makes it difficult for the driving force to envision the objects and other obstacles. Therefore traffic in foggy weather conditions is a very important issue and has been widely researched within the field of computer vision. The video dehazing software will get rid of the influence of weather factors and boost the visuals of the driving force.Previous techniques of image dehazing that are developed over the past decade are reviewed and analyzed.At first,the techniques are innovatively categorized into three categories: image enhance- ment based methods, image fusion based methods and image restoration based methods. Every methods are analysed and sub-categorized based on principles and characteristics. Various quality evaluation methods are implemented to make sure our project is capable of removing haze or fog. Finally, extensive experiments determine the performance of proposed system.

Wave and Tidal Studies off Kanyakumari Coast, Bay of Bengal, India
Authors:- A. H. Nabisa Begum, R.Venkatachalapathy, K. Gurumoorthi, M.Srinivasan

Abstract:- Ocean dynamic studies on the variability of the tides and wave characteristics have been studied in relation to the wind condition along the Kanyakumari Coast, Bay of Bengal during the NE and SW monsoon period of 2011. The maximum tidal height (1.13 m) was found in Kanyakumari tip during the Northeast monsoon period with the tidal pattern of mixed mainly semidiurnal tides. Wind speed varied from 0.1 – 9.5 m/s and 1.4 – 7.2 m/s with the average wind speed of 5.8 m/s and 4.4 m/s in NE and SW monsoon respectively wind blows (direction) predominantly with the average direction of the Northeast (550) and Southwest (1990) in NE and SW monsoon. The relationship between wave height and wind speed shows that they are weakly correlated with a significant level of 0.01.

Comparision of Strength Behaviour of M-40 Grade with Ordinary Concrete by Replacing the Fine Aggregate with Geopolymers
Authors:- M.Tech. Scholar Cherukuri Naga Lakshmi, Assistant Professor B.Anjana Devi

Abstract:- OPC is a major building material on this earth. Cement manufacturing is the major carbon dioxide emitting source and other hand besides deforestation and burning of fossil sources. The global warming and heating effect is caused by the emission of greenhouse gases, such as Carbon monoxide , CO2, into the atmosphere. Among the greenhouse gases, CO2 contribute about major amount is 65 % of global warming. The global cement industry contributes about 7-10% of greenhouse gas emission to the earth’s open area. In order to impact on surrounding environmental effects associated with Portland cement, there is a need to develop alternative binders to make concrete.One of the efforts to produce more eco -friendly concrete is the development of organic inorganic polymers like aluminium silicate, called geopolymer, synthesized from materials of geological origin or by-product materials such as fly ash that are rich in silicon and aluminium.In this paper work, low-calcium fly ash-based geopolymer from Chennai Thermal power stations has been used for the production of geo-polymer concrete. The combination of silicates of sodium solution and hydroxide of sodium solution was used as alkaline solution for fly ash activation. Alkaline solution to fly ash ratio was varied as upto .45.The concentration of sodium hydroxide solution was maintained upto 8M (Molars).The curing condition of geopolymer concrete was varied as ambient curing and oven curing at and 100°C. The strength of the GPC was tested at various ages like normal conditions 7,14,28 days.

Identification of Medical Diseases using Deep Learning
Authors:- Rituja Pardhi, Saumya Purwar, Pragati Patil, Aniket Nichat, Sakeeb Sheikh

Abstract:- The implementation of clinical-decision support algorithms for medical imaging faces challenges with reliability and interpretability. Here, we establish a diagnostic tool based on a deep-learning framework for the screening of patients with common treatable blinding retinal diseases. Our framework utilizes transfer learning, which trains a neural network with a fraction of the data of conventional approaches. Applying this approach to a dataset of optical coherence tomography images, we demonstrate performance comparable to that of human experts in classifying agerelated macular degeneration and diabetic macular edema. We also provide a more transparent and interpretable diagnosis by highlighting the regions recognized by the neural network. We further demonstrate the general applicability of our AI system for diagnosis of pediatric pneumonia using chest X-ray images. This tool may ultimately aid in expediting the diagnosis and referral of these treatable conditions, thereby facilitating earlier treatment, resulting in improved clinical outcomes.

Survey on Sustainable Energy Resources Prediction using Different Technologies
Authors:- Sumana Kuppannagari, Sree Devi E

Abstract:- Solar energy and the wind power are the environment friendly, sustainable sources of energy which are constantly being restored like sunlight and water. There are some non-renewable sources of energy available in the world like coal, Petroleum, natural gas etc. which can forms Fossil Fuels. In this world, it is important to predict the solar energy, in order to know how much the amount of energy can be consumed by different locations. Depending on different meteorological parameters like temperature, wind direction, velocity and humidity, wind power and solar energy forecasting can be done at regular intervals, so that it can balance the supply and demand of energy. In numerous applications in meteorology to understand phenomenon like humidity and rainfall, the statistical method has become a major tool and it is known as Time Series Analysis. Including time series analysis, regression analysis there are so many models like Autoregressive Integration Moving Average (ARIMA), Neural Network, Simple Moving Average (SMA) which are used to find the randomness of Solar Energy and wind power. Various Approaches has various disadvantages. This Paper can shows and can give a brief review on the theoretical forecasting methodologies and can provides the pros and cons of different methods. The study of Time Series Prediction of Solar Power is to know the advantage of using Exponential Smoothing (SES), Long-Short Term Memory (LSTM) and the suitability of Recurrent Neural Networks (RNN).

The Management of Project Conflicts Through Effective Negotiation
Authors:- Lecturer Crispin George

Abstract:- Abstract – In project management, conflicts should be treated with utmost seriousness in order to save the project from delay and resultant deadlock. There are several causes of conflicts in project management but conflicts arising from people with somewhat different ideas to reach project objectives are becoming more prominent. When people develop project plans, there is always the tendency for such to happen. There are lots of conflicts raised due to the following reasons: Different units working on the project might have different expectations about project costs, rewards and priorities, Confusion in the project team as a result of decision makin, Uncertainty on who has authority to make decision on resource allocation, Project manager setting cost and time restrictions that the functional manager cannot cope with, are also a recipe for conflict.
However, the most appropriate means of resolving conflicts is negotiation. In negotiating, the project manager should seek for a win-win situation unless in cases where such is not applicable or it cannot yield the desired outcome. This style of negotiation helps the project manager to improve his relationship with colleagues and thus achieve project objectives. In essence, the project manager should ensure that the interest of the project supersedes that of his personal feelings and ego during the negotiation process in order to get a better deal.

Design Chairless Chair-Exoskeleton System
Authors:- Mr. Ankush Borse Mr. Shubham Sonawane Mr. Rushikesh Hushar Mr. Sumit Salvi Prof. N. V. Dhumal. (Guide) Prof.M.A.Mane. (Co-ordinate)

Abstract:- The ‘chairless chair exoskeleton system’ is a hydraulic based exoskeletal support which is basically a ‘chair’ that is like an exoskeleton, allowing users to walk or move at certain speed with the device while they work. It is a mechanical ergonomics device that is designed around the shape and function of the human body, with segments and joints corresponding to those of the person it is externally coupled with. This support helps users to rest their leg muscles by directing their body weight towards a variable damper attached to the frame and directs the weight to the ground. This exoskeleton system is designed to be appropriate mechanism with human lower extremity and it operates synchronously with the human realizes. It consists of two identical ‘supports’, one strapped to each of the wearer’s legs. Simply bend the knees to a comfortable stance to activate its damper that supports the body weight. The overall weight of this exoskeleton chair is less so it doesn’t burden the wearer. The exoskeletal support not just provides a comfort lower body support, but also has several other purposes with this being a skeleton for newer products.

A Study on Artificial Intelligence in Reinventing Human Resources
Authors:-Dr. Purvi Shah, Management

Abstract:- This paper first make a point about terminology as there are lots of concepts that touch upon AI which might strictly be limited to ‘intelligent agents’ that mimic ‘cognitive’ behaviour. We are taking a broad approach to include expert decision-making systems, simulation and modelling, robotics, natural language processing, use of technologically-driven algorithms etc in this paper. Thus, we are including assisted, augmented and autonomous intelligence in the various ways that humans are supported, or replaced, by AI. Many technologies which were once seen as ‘cutting edge’ have become routinized and so no longer noticed as part of the change process. The chat boxes and cobots (robots collaborating with humans) we discuss here will, at some point, be mainstreamed.

A Survey on Text Content Sentiment Analysis Levels and Techniques
Authors:-Mahesh Patidar, Dr. V.B. Gupta, Seema Patidar

Abstract:- As Individual convey their thoughts on social media by discussing personal life events or other issues related to politics, science, environment, etc. So this produce large amount of opinion data which can be further mine by utilizing some techniques of pattern, classification, etc. So researcher works on this profitable data, and consequently, semantic annotation of online digital content into respected sentiment was done by utilizing various techniques. Hence this paper gives a detail investigation of different level of sentiment analysis with necessary pre-processing steps. Sentiment analysis techniques adopt by different researcher like supervised, unsupervised, lexion, etc. were also discuss with their desired outcome. A deep survey of social content sentiment analysis work done by different researcher was also discussed for improving the knowledge of methods used.

Analysis on an Online Social Network Based Question and Answer
Authors:-Hans Raj Pal, Professor Ritesh Yadav

Abstract:- Question and Answer (Q&A) systems play a vital role in our daily life for information and knowledge sharing. Users post questions and pick questions to answer in the system. Due to the rapidly growing user population and the number of questions, it is unlikely for a user to stumble upon a question by chance that (s)he can answer. Also, altruism does not encourage all users to provide answers, not to mention high quality answers with a short answer wait time. The primary objective of the system is to improve the performance of Q&A systems by actively forwarding questions to users who are capable and willing to answer the questions. Also improve Social Network Based Question and Answer system with security and efficiency enhancements by protecting user privacy and identifies, and retrieving answers automatically for recurrent questions.

A Survey on Data Visualization for Visualizing the Large Data Sets Using Visualization Techniques
Authors:- Harsha Vardhan G, Sree Devi E

Abstract:- Knowledge image involves presenting knowledge in graphical or pictorial kind that makes the knowledge simple to know. It helps to clarify facts and confirm courses of action. it’ll profit any field of study that needs innovative ways in which of presenting massive, advanced data. the appearance of tricks has formed trendy image. This paper presents a quick introduction to knowledge image. Data visual image could be a quite new and promising field in computing. In this paper, we have a tendency to initial get accustomed to knowledge visual image and its connected ideas, then we will surf some general algorithms to try to the information visual image. To get deeper regarding it, we’ll have some discussion regarding third dimensional knowledge visualization. With the mixture of some far-famed ways, we have a tendency to gift a replacement algorithm to try to four dimensional knowledge visual images. We have a tendency to conjointly gift a program project plan regarding it (optional), and a few problems and explanations around it.

A Qualitative Study of Devops Usage and Automation Tools in Practice
Authors:- Ishaq Shaik Mohammed, Masthan Baba B

Abstract:- DevOps could be an abstract framework for reintegrating development and operations of data Systems. We tend to perform a scientific Mapping Study to explore DevOps. Twenty six articles out of 139 were designated, studied and summarized. Supported this idea table was created. We tend to discovered that DevOps has not been adequately studied in scientific literature. There’s comparatively very little analysis out there on DevOps and also the studies ar typically of inferiority. We tend to conjointly found that DevOps is supported by a culture of collaboration, automation, mensuration, and data sharing and net service usage. DevOps advantages IS development and operations performance. It conjointly has positive effects on net service development and quality assurance performance. Finally, our mapping study suggests that additional analysis is required to quantify these effects.

A Survey on Cloud Computing Architecture Characteristics Deployment Models and Challenges
Authors:- Venkaiah Ramaiahgari, Masthan Baba B

Abstract:- Cloud computing is the process of storing and accessing of information and applications with the help of internet or web instead of your own hard disk. Cloud computing is a distributed resource pooling where anyone can access a particular resource from anywhere i.e. a single resource can be used by multiple people at different locations. This resource are like software, hardware, infrastructure, platform, networks, servers, storage spaces etc. it provides the services to the users based on their requirement and these services are easy and low cost to use. This paper is for everyone who are willing to take a study on cloud computing here we are going to see the architecture , characteristics , deployment & service models of cloud computing.

Supply Chain, Logistics and Technology in Agriculture
Authors:- Aakash Nar Singh Rout, Monika, Gourav Kumar Yadav, Arpit Barodiya

Abstract:- This paper addresses the issues pertaining to agriculture supply chain along with the effective role played by supply chain & logistics for timely delivery of produce to markets, along with other dimensions such as cold storage, access to market, government schemes.

Smart Customer-Realtime Customer Relationship Management System – A Survey
Authors:- Harshitha Deshpande, Shruthi V, Sushma J, Vasundhara Rajyalaxmi K, Hod.Dr. Sumithra Devi K A

Abstract:- Customer Relationship Management (CRM) is overall process of building and retaining profitable customers with an organization and directed towards improving business relationship with customers. It is a management philosophy and strategy which enables a company to optimize revenue and increases customer value and service quality by recognizing customer needs. it’s a procedure of business that is able to facilitate or meet out requirements of users and each and every component to be measured deliberately and should look of as all the requirements are met. A CRM strategy aims to create a comprehensive customer centric strategy that contributes to durable relationships with customers and makes a profit for owners.

Emotion Recognition using Human Activity From Smartphone Data
Authors:- Shahistha Sultana K

Abstract:- Social interaction has become an important concern in our daily activities. The social interactions tell us about the emotion and the mental state of a person. Both the body movements and the facial expression of a person can be used to analyses the emotion of a person. Numerous researches have been conducted for analyzing the emotion of a person with the help of face reaction. The proposed project focuses on analyzing the emotion of a person with the help of body movements. These movements will help to find the underlying emotion of a person whenever the face isunclear/occluded. Recognition of human activity is performed first with the help of the data recorded from a smartphone’s sensor such as accelerometer and gyroscope. The data is recorded when the smartphone is attached to the waist of the subject, as this provides accurate results. The human activity recognition is done using the UCI HAR Smartphone dataset which has data recorded from 30 volunteers at age difference of 19-48 years and with 561 measurements variable. After the human activity are identified it is compared with the 2-D stimuli from the dataset and features are extracted from the dataset frame which are preprocessed and matched against the same human activity identified from the smartphone dataset and the extracted features are fed to the KNN and Support Vector Machine (SVM) classifiers to classify the emotion of the human. In this way, a human emotion can be found from the activity recognized from the smart phone data.

Integrated DevOps Practices For Cloud, Application, And Network Operations

Authors: Indra Kumar

Abstract: The rapid evolution of cloud computing, distributed systems, and software-defined networking (SDN) has fundamentally reshaped how modern enterprises design, deploy, and manage digital infrastructure. The transition from monolithic, on-premises environments to cloud-native architectures, microservices-based applications, and virtualized networking frameworks has significantly increased scalability, flexibility, and innovation velocity. However, this technological advancement has also introduced substantial operational complexity. Traditional siloed operational models—where cloud operations, application development, and network engineering teams function independently—are increasingly inadequate for managing highly dynamic, distributed, and interconnected ecosystems. In conventional IT environments, infrastructure provisioning, application deployment, and network configuration were handled as separate processes with distinct tools, workflows, and performance metrics. This fragmentation often resulted in delayed deployments, inconsistent policy enforcement, limited cross-layer visibility, and heightened vulnerability to outages or security breaches. As organizations adopt multi-cloud strategies, container orchestration platforms, and API-driven networking, the lack of integration between operational domains becomes a critical bottleneck to agility and resilience.Integrated DevOps practices address these limitations by unifying cloud, application, and network operations under a shared framework of automation, Infrastructure as Code (IaC), Continuous Integration/Continuous Deployment (CI/CD), and end-to-end observability. Rather than focusing solely on collaboration between development and operations teams, integrated DevOps extends its principles across the entire technology stack. This approach promotes shared ownership, policy-driven governance, and cross-functional accountability, enabling organizations to manage infrastructure, code, and connectivity as programmable, version-controlled assets. Automation plays a central role in this integration. Through declarative configurations and orchestration pipelines, provisioning and deployment processes become reproducible and scalable. Advanced observability frameworks—encompassing metrics, distributed tracing, and log aggregation—provide real-time visibility into system behavior across infrastructure, application, and network layers. Additionally, embedded DevSecOps practices ensure that security controls, compliance requirements, and vulnerability assessments are integrated directly into development and operational workflows. This review comprehensively examines the conceptual foundations, enabling technologies, and architectural patterns underpinning integrated DevOps for cloud, application, and network operations. It analyzes key methodologies such as GitOps, which leverages version control systems as the single source of truth; NetDevOps, which introduces automation and programmability into networking; and AIOps, which applies machine learning to operational data for predictive analytics and automated remediation. Furthermore, the review explores implementation challenges, including cultural resistance, toolchain complexity, governance concerns in multi-cloud environments, and skill gaps in cross-domain expertise. By synthesizing current practices and emerging innovations, this study highlights how integrated DevOps serves as a strategic enabler of operational resilience, scalable infrastructure management, and continuous digital transformation.

DOI: http://doi.org/10.5281/zenodo.18670032

Modern Enterprise System Design Using Cloud, Containers, And Automation

Authors: Karthik Reddy

Abstract: Modern enterprise system design has undergone a significant transformation with the widespread adoption of cloud computing, containerization, and automation technologies. Traditional monolithic and on-premise infrastructures are increasingly being replaced by distributed, cloud-native architectures that emphasize scalability, resilience, and rapid delivery. Cloud platforms provide elastic infrastructure and global availability, while containerization technologies such as Docker and orchestration systems like Kubernetes enable portability, efficient resource utilization, and microservices-based design. Automation practices, including DevOps, Continuous Integration/Continuous Deployment (CI/CD), and Infrastructure as Code (IaC), further enhance deployment speed, operational consistency, and system reliability. This review examines the architectural evolution of enterprise systems, key enabling technologies, integration strategies, security considerations, and operational challenges associated with cloud-native environments. Additionally, it highlights emerging trends such as serverless computing, GitOps, and AI-driven infrastructure management. By synthesizing current practices and technological advancements, this paper provides a comprehensive overview of modern enterprise system design and outlines strategic considerations for organizations pursuing digital transformation.

DOI: http://doi.org/10.5281/zenodo.18670037

Redefining Database Leadership For Cloud-Native Automation And Operational Resilience

Authors: Dr. Jonathan Miller, Dr. Emily Carter, Michael Anderson, Dr. Sophia Reynolds, Daniel Thompson, Chaitanya Srinivas

Abstract: The rapid evolution of cloud computing has significantly transformed the role of database leadership, necessitating a shift from traditional management approaches to dynamic, automation-driven, and resilience-oriented strategies. This paper explores the redefinition of database leadership within cloud-native environments, where scalability, distributed architectures, and continuous integration and deployment pipelines are essential. It highlights the importance of leveraging automation, intelligent monitoring, and self-healing systems to ensure high availability and operational resilience. The study addresses key challenges such as maintaining data consistency across distributed systems, ensuring security in multi-tenant cloud environments, and optimizing performance under variable workloads. Furthermore, it examines how modern leadership practices incorporate cloud-native principles, including microservices architecture, containerization, and Infrastructure as Code (IaC), to enhance efficiency and system reliability. Based on conceptual analysis and practical insights, the paper proposes a strategic framework that emphasizes proactive decision-making, automation adoption, and resilience engineering to achieve scalable, fault-tolerant, and robust database systems while minimizing operational risks and downtime, ultimately underscoring the critical role of adaptive leadership in meeting the demands of modern cloud-native ecosystems.

DOI: https://doi.org/10.5281/zenodo.19765416

Platform Governance Contributions In Regulated Microservice Architectures

Authors: William Turner, Charlotte Evans, Benjamin Lewis, Amelia Scott, Chaitanya Srinivas, Rishi Kumar

Abstract: The rapid adoption of cloud-native technologies and distributed enterprise systems has significantly accelerated the deployment of microservice architectures across highly regulated industries such as finance, healthcare, insurance, and government sectors. While microservices improve scalability, agility, operational flexibility, and continuous service delivery, they also introduce complex governance, security, compliance, and interoperability challenges that organizations must address to maintain regulatory integrity and operational resilience. This research examines the role of platform governance frameworks in managing regulated microservice architectures by analyzing governance mechanisms related to policy enforcement, identity and access management, API security, compliance automation, service observability, risk management, and operational accountability. The study further investigates how governance platforms support secure communication, workload isolation, auditability, and continuous compliance validation within cloud-native ecosystems operating under regulations such as GDPR, HIPAA, PCI DSS, and ISO/IEC 27001. Evidence mapping techniques are utilized to evaluate governance contributions across enterprise microservice environments and identify emerging best practices that improve service reliability, cybersecurity resilience, and regulatory alignment. The findings demonstrate that integrated governance frameworks combined with automation, Zero Trust principles, and continuous monitoring capabilities significantly enhance organizational ability to manage distributed microservice infrastructures securely and efficiently. The research highlights the strategic importance of governance-driven architectures in enabling scalable digital transformation while ensuring compliance, operational transparency, and long-term enterprise sustainability in modern regulated environments.

DOI: http://doi.org/10.5281/zenodo.20607626

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