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.