Category Archives: Uncategorized

Performance Analysis of Ad-Hoc Networks Under Black Hole Sybil Attack and DDoS Attack
Authors:- M. Tech Scholar Vikas Swarnakar, Asst. Prof. Shivraj Singh

Abstract- The next generation communication network has been widely popular as an ad hoc network and is roughly divided into mobile nodes based on mobile ad hoc networks (MANET) and vehicle nodes based on the vehicle’s ad hoc network (VANET). VANET aims to maintain traffic congestion by keeping in touch with nearby vehicles. Every car in the ad-hoc network works like a smart phone, which is a sign of high performance and building an active network. The self-organizing network, is a decentralized dynamic network, as vehicles are constantly moving, efficient and secure communication requirements are required. These networks are more vulnerable to various attacks, such as hot hole attacks, denial of service attacks. This article is a new attempt to investigate the security features of the VANET routing protocol and the applicability of the AODV protocol to detect and manage specific types of network attacks called “black hole attacks Sybil attack and DDoS attack. A new algorithm is proposed to improve the security mechanism of the AODV protocol, and a mechanism is introduced to detect attack and prevent the network from being attacked by the source node this simulation set up performed on matlab simulation.

A Review on Series Voltage Regulator and PV based Voltage Modulated Direct Power Control for Grid Connected
Authors:- Guatam Ojha, Prof. Vijay Anand Bhart

Abstract-We have designed voltage modulated direct power control (VM-DPC) for a three-phase voltage source inverter (VSI) connected to a weak power grid. If the conventional vector flow control (VCC) method is PLL, then the PLL system may make the system unstable. Compared to the traditional VCC method, eliminating the PLL system is the major advantage of the proposed VM-DPC method. In addition, the VSI system must also generate a certain amount of reactive power to inject the rated active power into the weak power grid. Analysis based on eigenvalues shows that, using the proposed method, the system tracks the required dynamics within a specific workspace.

Power Quality Improvement Performance of PV and Grid Connected System
Authors:- Nitesh Yadav, Prof. Vijay Anand Bhart

Abstract- This Paper introduced for regulating the load voltage through DVR pulses at different abnormal operating conditions, and accordingly convert the static optimized PI controller into adaptive one based ANN. The system performance with the proposed ANN-DVR controller is enhanced through improving the current, voltage, and power waveforms of each generating source. With compensation of the faulty line voltage, the system retains an uninterrupted operation of the three renewable sources during fault events and the total harmonic distortion is reduced. an Artificial Neural Network (ANN) controller based MPPT controller and Dynamic Volt-age Restorer (DVR) utilization to improve the performance of a stand-alone hybrid renewable energy system. The renewable energy system consists of three renewable energy sources, namely, solar PV cells, battery system and fuel cells. These three sources are tied to a common DC link by three boost converters, one for each source. The common DC link is connected to the AC side via a DC/AC inverter. The optimal size of the three proposed renewable sources is calculated using the MATLAB Software. The DVR control is attained through regulating the load voltage at different anomalous working conditions. These conditions are three-phase fault, voltage sag/swell, and unbalanced loading. to control DVR by regulating the D-Q axes voltage signals. The input/output data used for training ANNs are obtained by two optimized PI controllers.

Experimental Research on the Mechanical Properties of M50 Grade Concrete Using Steel Fibres
Authors:- PG Scholar Nuthalapati Jaganmohan Rao, Hod Balakrishna Penta

Abstract-Now a days investigations all over the world are centring on ways of progressing the mechanical properties of concrete. Plain concrete has low malleable quality, is fragile in nature, has low ductility, less sum resistance to breaking. The nearness of inner smaller scale splits effectively gives engendering of splits beneath stacking which comes about low malleable quality and brittle in nature. Steel is utilized to move forward the mechanical properties of concrete. From antiquated times diverse sorts of added substances were utilized to make strides in the properties of concrete. From the early 1900’s diverse sorts of fiber strengthened concretes are being utilized against ordinary concrete. The fiber reinforced concrete is superior in flexural quality, tensile quality, and split arresting. In this display think about a concrete mix design is made for High Strength Concrete of M50 Grade as per IS 10262 – 2019 and steel fibers are included in terms of % of volume division of concrete. The sum of rates changes from 0.5% to 3% at an interim of 0.5%. The fresh concrete tests like slump cone test and vee bee consistometer test and as well as hardened concrete tests like compressive strength, flexural strength at the ages of 7, 14 and 28 days were conducted. By comparing these tests comes about with plain concrete the impact of strands on compressive and flexural strengths of High Strength Concrete has been considered.

The Basic HADOOP: HDFS, MapReduce, YARN
Authors:- Ayushi Ankita Rakshit

Abstract- In our day-to-day life, we encounter with a huge amount of data. As a student, the name of the subjects, syllabus, terminologies, etc should be kept in mind, as a teacher, the name of the students, subjects, syllabus, etc should be kept in mind. Every small thing here represented are considered as a data. For a computer, files like images, videos, documents, etc, are considered as a data. We as a human deal with fewer amounts of data as compared to that of the computers. Working with millions and billions of data is not possible by humans. So, to overcome the problem Big Data was introduced and works with Hadoop as an ecosystem. This paper is a technical brief on how Hadoop ecosystem works, its principles and basic algorithms.

An Outlier Detection Using Clustering Algorithms and Its Techniques
Authors:- Asst. Prof. B.Angelin M.Sc., M.Phil. (Ph.D), Asst. Prof. M.Radha M.Sc., M.Phil., Asst. Prof. P.Poornima M.Sc., M.Phil

Abstract- Clustering is the task of assigning a set of data objects into groups called clusters so that the objects in the same cluster are more similar in some sense to each other than to those in other cluster. Data items whose values are different from rest of the data or whose values fall outside the described range are called outliers. Outlier detection is an important issue in data mining, where it is used to identify and eliminate anomalous data objects from given data set. Outlier detection is an essential step in the data mining process. Its main purpose to remove the incompatible data from the original data. This purpose helps in the removal of data which necessary for carrying out to speed up the applications like classification, data perturbation and compression. It plays an important role in the weather forecasting, performance analysis of sports person and network intrusion detection systems. The outlier for the single variable can be easily observed but for the n-variable it become a tedious process. To enhance the performance of outlier detection in n-variable or attributes several methods were discussed. This paper provides a brief survey on clustering techniques and outlier detection techniques. Particularly the K-means clustering algorithm for outlier detection is discussed.

Using Blockchains for Security and an Algorithm for Cloud Computing
Authors:- Divya Asritha Somisetty, Mohammad Tajammul

Abstract- Blockchain is a completely new approach for the development of Internet technology due to its distributed mechanism, decentralized mechanism, password mechanism, and scripted mechanism. As a result of Blockchain technology, storing and spreading information in a network has been redefined. There is no need for participants to know each other, nor is it a requirement for third-party certification bodies. An asymmetric cryptographic algorithm ensures that data cannot be tampered with and forged while recording, transmitting and storing transfer activities of the information value. The exchange of blockchain data information enables all participants to reach consensus. Moreover, the current industry research on blockchain explains the applications of the technology in identity authentication, data protection, and network security. This new technology will lead to a major shift in information.

The Investigation of Mechanical Properties of Dissimilar Material Weld Joint by GMAW & MMA Process
Authors:- M. Tech. Scholar Mohd Naseem, Associate Prof. Dr. Ram Gopal Verma

Abstract- In this paper discussed about the investigation of mechanical properties of dissimilar material of weld joint by Gas Metal Arc Welding (GMAW) and Manual Metal Arc (MMA) process. In this study to evaluate of strength of weld joint, weld size of weld joint and torsional strength of weld joint. In this investigation used two types of weld joint, groove joint (V-joint) and butt joint. In this investigation used impact test, torsional test and welding size. The main purpose of this study comparison between welded joint and welding techniques. The parameters of welding are welding current, welding voltage, welding speed. In the metal inert gas welding used wire electrode size is 0.8 mm diameter. In this investigation used mild steel sheets and stainless-steel sheets. The thickness of sheets is 4mm, 5mm, 6mm, the dimension of sample size of butt joint and groove joint is 230 mm X 120 mm X 4mm X 5 mm X 6 mm.

Cloud Based Smart Detecting Metering Terminal
Authors:- Asst. Prof. C.Rekha, AkshayaPrabha P, Logeshwari S

Abstract- Underground cables are inclined to a wide assortment of faults due to underground conditions, wear and tear, rodents etc. Diagnosing fault source is troublesome and entire cable need to be taken out from the ground to check and settle issues. The project work is pointing to recognize the region of fault in underground cable lines. To locate a fault in the cable, the cable must be tested for faults. The current would change depending upon the length of the fault of the cable. Within the urban regions, the electrical cables run in underground rather than overhead lines. When the fault happens in underground cable it is troublesome to recognize the exact zone of the fault for get ready of repairing that particular cable. The proposed framework finds the precise area of the fault and also electricity load forecasting is important for utility companies to ensure reliable power supplies. Traditional methods for load forecasting relied on historical records from one single data source and have limitations with insufficient or missing data and also when the fault happens in cable it is troublesome to recognize the exact zone of the fault for get ready of repairing that particular cable. Our project is to find solution for this.

Post Pandemic (Covid-19) Recovery of Economic Systems for Attainment of Sustainable Development
Authors:- Asst. Prof. Mr. Sachin Sharma, Prof. Dr. Priyank Sharma, Asst. Prof. Mr. Deepak Sharma, Associate Prof. Dr. Ankur Goel

Abstract- Covid-19 pandemic has taken away the worldwide happiness and financial power that really required the notable global co activities across the differentiated regions. It includes the medical and immunity advancements, the value and supply chains related to vigor and strength, money supply facilities, backing up of economy of agricultural oriented nations etc. There is a requirement of worldwide recovery efforts related to overall economic systems after the COVID-19 in order to achieve the goals of sustainable development. This paper is based on content analysis technique and attempts to highlight the green recovery efforts in various dimensions and eventually analyse the role of money for attainment of sustainable development.

Review Paper on Electrical Discharge Machining
Authors:- Prof. Kalpesh S. Kamble, Pankaj Rane, Shadab Shaikh, Mahesh Dalvi, Rahul Chavan

Abstract- By means of the improvement and growths in new machineries, low weight- high strength, high hardness and temperature resistant materials have been advanced for distinctive applications which include aerospace, medical, automobile and more. In the machining of hard and metal matrix composite materials, outdated manufacturing processes are being more and more changed by more nontraditional machining processes which include Electrical Discharge Machining (EDM). The work piece material designated in this experiment is Inconel 925 taking into interpretation its wide usage in industrial applications. In today’s world stainless steel provides to nearly half of the world’s production and consumption for industrial determinations. In this experiment the input variable factors are voltage, current and pulse on time. As we know that Taguchi method is functional to produce an L9 orthogonal array of input variables by means of the Design of Experiments (DOE). So, Taguchi method is used to analysis the output data. The consequence of the compliant parameters stated overhead upon machining characteristics such as Material Removal Rate (MRR) and Tool Wear Rate (TWR) is considered and examined. In this we are focused on to analysis minimum TWR and maximum MRR based on control factors and response parameters.

Optimization of Various Parameters for High-Efficiency Light-Fidelity (LI-FI)
Authors:- Anurag Garood, Chirag Bhardwaj

Abstract- Light Fidelity (LiFi) is a Visible Light Communication (VLC) based technology that making a light as a media of communication replacing the cable wire communication. LiFi is evolve to overcome the rate speed in Wi-Fi, while using LiFi the rate speed can reach until 14 Gbps. This paper presents an introduction of the LiFi technology including its performance at different parameter. The result of this paper can be used as a reference and knowledge to develop some of the LiFi technology. Li-Fi has evolved with the tremendous growing technology. This paper presents a communication system based on Light fidelity (Li- Fi). In this paper, simulation of the transmitter- receiver system has been done. The major contribution of the work is in the optimization of various parameters. We achieved received signal power density and 3D power distribution along with signal to noise ratio at receiver end with variation of perpendicular distance between receiver and transmitter i.e. height and with variation of incidence angle of light i.e. the angle between the horizontal plane and light rays. All simulation work is done of MATLAB 2018a software version.

Smart Handbag Enabled with Location Tracking
Authors:- Ankathi Susheel Varma, Kadari Supriya

Abstract- The world is becoming unsafe in all aspects. The crimes are increasing at a higher rate. This paper proposes a quick responding mechanism that uses a speaker to alert the user and provides a way to safeguard his/her belongings. As a snatch theft has become a serious problem to the society, it is required an immediate action to put an end to this problem [1]. All the electronic inventions are to reduce manual effort upon mechanical work and to create an interaction between human and machine [2]. The framework of project is based on a 555 timer IC [NE555P] in astable configuration that produces square wave of definite frequency. A loudspeaker which is used as a load at the output generates sound and alerts the user in case of breaking of wire or discontinuity in the loop (cutting the bag strap with scissors-based theft) also in case of direct snatching the bag, we can track the bag as it is interfaced with a GPS GSM module [SIM808]. This project can be used to protect our wallets, carry bags or even just in case to mention caution so that people alert. The applications are not just limited to this as it is portable, reliable, cost efficient and small as it uses only battery supply.

Beat the Warmth Seat Using IOT
Authors:- Annepu Gowtham Kumar, Kannkanti Likhita

Abstract- Every year, aggregate of forty youngsters die per annum thanks to hyperthermia because of accidentally being left in hot automobile and the number for 2019 was fifty-two. A change within the normal routine could make indeed a careful parent inadvertently leave a baby behind within the automobile seat. When the surface temperature is 80 °F, the temperature inside the car can fleetly climb to 109 °F in 20 twinkles, causing child death thanks to hyperthermia. I wanted to provide a practical device that would reach further people than the dear newer vehicles that come with smart seat systems. This part can detect weights in excess of 10 lbs. when the baby is sitting there, the system will automatically start and monitor the temperature within the car. when the temperature surpasses 102 degrees, the seat generates an alarm together with a warning on its display and texts the parent’s phone. If the button is not reset by the parent within 60 seconds, the Arduino will send the car’s location to emergency service. It then automatically activates a cooling mechanism to maintain a comfortable temperature near the kid to avoid death by hyperthermia. The cooling was achieved by an Arduino controlled thermoelectric cooling system incorporated within the electronic system which maintained ambient temperature round the child. The temperature in the automobile with and without smart automobile seat intervention was compared on a traditional day to demonstrate that the smart automobile seat was effective in achieving ambient temperature round the child within three minutes.

Design of Low Power Multiplier with Improved Column Bypassing Scheme
Authors:- Mandula Sai Kumar, Pullagurla Sowmya

Abstract- In design of portable electronic devices for signal processing applications the primary constraints are Power, speed and area. Multiplier plays a vital role in DSP applications. In this paper, a high speed and low power multiplier with improved column bypassing scheme is presented. Primarily power reduction is achieved by disabling the supply voltage applied to non-functional blocks when the operands of the multiplicands are 0. Power reduction is obtained by both architectural and circuit level modifications. The proposed multiplier is involved with a new adder architecture which is also responsible for reducing the power consumption and propagation delay. Simulated results are obtained with UMC (United microelectronics Corporation) 90nm and 0.9V CMOS technology with help of cadence spectre simulation tool. The proposed multiplier has been compared with popular multipliers and performance parameters such as speed, power dissipation and area occupation are found better. The proposed multiplier is holding a better choice for the low frequency (≤ 50 MHz) applications. From the obtained results for randomly generated input test patterns having uniform distribution probability and power saving would be more if operands have more 0’s than 1’s.

Implementation of Inventory Management Technique in Manufacturing Industry
Authors:- M. Tech. Scholar Ram Pratap Dangore, Asst. Prof Yogesh Ladhe

Abstract- Inventory management is the accurate tracking of all materials in the company’s inventory. The company has purchased these items from another supplier. There are three possible areas of loss that are reduced through effective inventory management: shrinkage, misplacement, and short shipments.There are various types of inventory control analysis techniques. Here we shall focus on the ABC analysis. It is possible to utilize the concept of ABC model in formation of rational inventory policy which should give the best possible service level to production while minimizing investment costs. ABC analysis tends to measure the significance of each item of inventory in terms of value.

A Review on Casting Defect Reduction in a Manufacturing Industry
Authors:- M.Tech. Scholar Raghav Pandey, Asst. Prof. Vipul Upadhayay

Abstract- In the era of globalization, producing good quality castings as per the standards needs multidirectional competitiveness. Indian foundry industries are constantly on the alert to gain a competitive edge. Yet, the focus is deviating from overall operational excellence. To compete globally, foundry men have to move ahead from the slogan of ‘satisfying customer’ and adopt and rigorously Endeavour for ‘customer delight’. Meeting customer demands will not be sufficient, requirements will be to exceeding them through quality and productivity improvement. For global competitiveness, foundry industries are trying many techniques such as quality circles, total quality management (TQM), International Organization for Standardization certifications, etc. All these techniques are well capable of producing the desired results, but the darker side of the coin is the issues related with their implementation and longer time span to realize the benefits. There are myths that Six Sigma is suitable for large organizations only but, Six Sigma is equally suitable for Small scale foundry too.

A Research Onthe Impact of Implementing Green Supply Chain Management Practices in Smes Using Spss
Authors:- M.Tech. Scholar Aman Laad, Prof. Yogesh Ladhe

Abstract- Green supply chain management (GSCM) is also called as sustainable supply chain, environmental supply chain, and ethical supply chain. It has also been described as a socially responsible supply chain”. GSCM means “integrating environmental thinking into supply chain management, including product design, material sourcing and selection, manufacturing processes, delivery of the final product to the consumers and end-of-life management of the product after its useful life”.The aim of this research is to analyse firm performance by implementing GSCMpractices. This paper therefore helps to build environmental awareness amongst industry and helps industry to take decisions that are a priority with little information about supply chain management.Quantitative research method is used to analyse the firm performance by implementing GSCM practices. Primary data is collected from the distribution of questionnaires through online survey. Further, statistical techniques have been applied on survey results.GSCM research is currently in the emerging phase. The survey may be further refined to distinguish between various manufacturing industries. This analysis offers significant perspectives. Implementing GSCM activities enhances corporate success in many ways. Supplychain managers are obliged to determine the company’s output and therefore choose the best GSCM practice combination, which will maximize the optimal amount. This research is useful to SME owners to consider GSCM procedures and introduce them.

Thermodynamic Analysis of a Cascade Refrigeration System Based on Carbon Dioxide and Ammonia
Authors:-M.Tech. Scholar Sourabh Kori, Asst. Prof. Shahrukh Khan

Abstract- Refrigeration and air conditioning (RAC) play a very important role in modern human life for cooling and heating requirements. This area covers a wide range of applications starting from food preservation to improving the thermal and hence living standards of people. The utilization of these equipment’s in homes, buildings, vehicles and industries provides for thermal comfort in living/working environment and hence plays a very important in increased industrial production of any country. In present study the comparison of thermodynamic analysis of cascaderefrigeration system has been done with two refrigerant pairs R23-R600A and R23-R290. In these systems, performance of two stage cascade compression system using above different refrigeration system have been studied and the effect of condenser temperature & evaporator temperature , difference in cascade condenser and low temperature cycle condensertemperature on performance parameteron COP, total compressor work, exergy efficiency and total exergy loss has also been done.Thermodynamic analysis is carried out by developingcomputational model in Engineering Equation solver (EES)..

A Review on Thermal Performance Analysis of Shell and Tube Heat Exchanger
Authors:- M.Tech. Scholar Vishwas Gautam, Asst. Prof. Vikas Jain

Abstract- Shell and tube heat exchanger with single segment baffles, helical baffles at varied helix angles, and flower baffles was researched and compared in enhancing performance, according to the literature review. Furthermore, simulations involving single, double, triple segmental baffles, helical baffles, and flower baffles have not been compared using the same STHX specification and input circumstances. As a result, a unique idea was developed to investigate the impacts of multiple baffle designs in shell and tube heat exchangers (STHX), including such single, double, triple segmental baffles, helical baffles, and flower baffles, on heat transfer coefficient and pressure drop.

A Review Article Novel Approach To Classification of Capacity Urban and Rural Roads with Detection of Traffic Noise across Higher Density
Authors:-Harish Kumar Verma, Professore Jitendra Chouhan

Abstract- In order to accurately predict the short-term traffic flow, this paper presents a k-nearest neighbor (KNN) model. Short-term urban expressway flow prediction system based on k-NN is established in three aspects: the historical database, the search mechanism and algorithm parameters, and the predication plan. At first, preprocess the original data and then standardized the effective data in order to avoid the magnitude difference of the sample data and improve the prediction accuracy. At last, a short-term traffic prediction based on k-NN nonparametric regression model is developed in the Matlab platform. Utilizing the Shanghai urban expressway section measured traffic flow data, the comparison of average and weighted k-NN nonparametric regression model is discussed and the reliability of the predicting result is analyzed. Results show that the accuracy of the proposed method is over 90 percent and it also rereads that the feasibility of the methods is used in short-term traffic flow prediction.

Review of AI based Automated Dishwasher
Authors:- Asst. Prof. Shital P. Dawane1, Rutvik M. Meshram, Shivam B. Patil, Harshal V. Nikhade

Abstract- This review deals with the evolution of dishwasher ranging from primitive model to its complex form. The discussed review papers deals with analysis of human effort, power consumption, time consumption required for the operation of dishwasher. In this paper we tried to analyze and learn the working of dishwasher along with its future scope with an attempt to integrate with modern technologies.

Constant Matrix Multiplication Using Carry Select Adder
Authors:- Karlapudi Vikram, Panjala Sai teja, Dakuri Chandana

Abstract- Constant matrix multiplication (CMM) is the process of multiplication of a constant matrix with a vector,
is a common operation in digital signal processing. It is a generalization of multiple constant multiplication (MCM) where a single variable is multiplied by a constant vector. Like MCM, CMM can be reduced to additions/subtractions and bit shifts. Finding a circuit with minimal number of add/subtract operations is known as the CMM problem. While this leads to a reduction in circuit area it may be less efficient for power consumption or throughput. The existing model uses RCA(Ripple Carry Adder), whereas this proposed method is implemented by using CSLA(Carry Select Adder). Here the usage of CSLA resulted in reduction of time for execution and the reduction of no. of LUTs(Lookup Tables), which in turn leads to efficient power consumption. This paper is highly concentrated on Time for execution and Power consumption, which are important parameters for implementation real time application circuits.

Computer Vision to Control Documents
Authors:- Prof. Vrushali R. Sonar, Sanskruti S. Patil, Shyamal S. Patil, Sneha G. Pawar, Vaishnavi B. Kute

Abstract- Computer vision, or the ability of artificially intelligent systems to “see” like humans, has been a subject of increasing interest and rigorous research for decades now. As a way of emulating the human visual system, the research in the field of computer vision purports to develop machines that can automate tasks that require visual cognition. Computer Vision, often abbreviated as CV, is a field of study that seeks to develop techniques to help computers “see” and understand the content of digital images such as photographs and videos. With the help of computer vision, we are going to develop a system which recognizes colors and helps us to scroll through documents, pdf, etc. With similarly astounding feats by AI with computer vision technology becoming increasingly common in different industries, the future of computer vision appears to be full of promise and unimaginable outcomes.

Portable Cloth Dryer Machine
Authors:- Prof. R.M.Dahekar, Ajay Hajare, Akash Dhole, Pratik Thakare, Sahil Narekar

Abstract- As technology continues to progress human civilization has begun to enter into new world in many parts of India like cherranpunji, Shimla and other humid regions in foreign countries, it is observed that clothes are being wet for many days after the wash, so as the people suffer. So, the invention of quick portable cloth drying machine helps in solving out these problems. The quick portable cloth drying machine helps in drying out the clothes in all seasons.

Stock Prices and Risk Prediction with Sentiment Analysis Using Machine Learning Technology
Authors:- Prof. Siddhesh Khanvilkar, Mr. Aditya Jadhav, Mr. Aniket Khaladkar, Mr. Sahil Lamture

Abstract- Stock Prices Prediction” is a key topic in the present situation. Therefore, the curiosity about this topic is increasing among the researchers as well as retail investors. After multiple research one thing has everyone noticed that past data of stock market, Search Engine optimization Queries and the data which is generated from sources like Twitter and other financial platforms, has a close relationship with the future price of any stock. Previously a decade ago there was problem of lack of related information in the field of stock market. Therefore, in order to fill that information bridge between market and investors and predict an future, we discuss an simple method to analyse different information source. To do so, Long Short Term (LSTM), Linear Regression and Autoregressive Integrated Moving Average (ARIMA) etc. algorithms were utilized to examine separate sources, which helps users or investors precise results of stock prices of next 7 days or so. Through this method, new investors or retail investors can survive in the stock market.

Friend Recommendation on Social Media
Authors:- M.Tech. Scholar Atul Kumar Churhe, Asst. Prof. Girish Gogate

Abstract-Friend recommendation is one of the most popular characteristics of social network platforms, which recommends similar or familiar people to users. The concept of friend recommendation originates from socialnetworks such as Twitter and Facebook, whichuses friends-of-friends method to recommend people.We can say users do not make friends from random people but end up making friends with their friends’ friends.The existing methods have narrow scope of recommendation and are less efficient. We put forward a new friend recommendation model to overpower the defects of existing system.For better friend recommendation system with high accuracy, we will use collaborative filtering method to compare similar, dissimilar data of users and will make a recommendation system which gives user to user recommendation based on their similar choices, activities and preferences. Location based friend recommendation system are becoming popular because it brings physical world to digital platform and gives better insight of user’s preferences or interest This recommendation system will increase the scope of recommendation from one user to other with similar set of interest and their location.

Detecting and Predicting Malicious Nodes in Mobile AD-HOC Networks using a Secure Technique
Authors:- M.Tech. Scholar Amit Kumar Yadav, Asst. Prof. Girish Gogate

Abstract- Mobile Ad Hoc Networking (MANET) is a rapidly expanding communication framework. Because the MANET has no foundation, it has the dynamic nature of a self-assertive network architecture. These networks need to be secure. MANET nodes may launch a variety of attacks or become very self-centered to maintain their edge. These nodes may be harmful. Malicious nodes must be identified for MANETs to function properly. A collection of networks is shown, each with its own limitations. On the other hand, a network of counteractive action employing responsive guiding conventions is proposed in this concept. An AODV, NS-2 test network is employed for execution analysis and replication. It uses a countermeasure that calculates the Trust value based on route request, route response, and information package. After the count, assign stock values from 0 to 1. If the trust esteem is more than 0.5, the node is reliable and allows network access. The SAODV is assessed in terms of network execution. The outcome differs from the standard AODV convention. SAODV outperforms AODV and existing protocol by extending the length of a decrease in throughput. In comparison, SAODV’s packet delivery ratio outperforms the existing AODV protocol. This is a better solution than the present AODV protocol and combined malicious attack..

Secure Network for Malicious Nodes in Mobile Ad-hoc Networks using Trust-based Approach
Authors:- M.Tech. Scholar Kiran Singh, Asst. Prof. Prof. Megha Jat

Abstract- MANET stands for Mobile Ad Hoc Networking and is a fast growing communication framework. The MANET has the dynamic character of a self-assertive network design since it has no base. These networks must be protected. To keep their advantage, MANET nodes may launch a variety of assaults or become very self-centered. These nodes might be dangerous. For MANETs to work correctly, malicious nodes must be discovered. A number of networks are shown, each with its unique set of constraints. This notion, on the other hand, proposes a network of counteractive activity based on responsive guiding norms. For execution analysis and replication, an AODV, NS-2 test network is used. It employs a countermeasure that determines the Trust value based on the route request, route response, and data package. Assign stock values from 0 to 1 after the count. The node is dependable and enables network access if the trust esteem is more than 0.5. In terms of network execution, the SAODV is evaluated. The result deviates from the typical AODV procedure. By increasing the duration of a throughput reduction, SAODV beats AODV and current protocols. SAODV beats the previous AODV protocol in terms of packet delivery ratio. This is a superior alternative to the current AODV protocol and malicious attack.

A Review of Power Quality Improvements by using FACTS devices of Smart Energy System Using Hydro System
Authors:- Research Scholar Rampravesh Chauhan, Asst. Prof. Abhishek Dubey, Dr. Shweta Chourasia

Abstract- MANET stands for Mobile Ad Hoc Networking and is a fast growing communication framework. In a recent trend for controlling of most of the industrial loads is mainly based on semiconductor devices which cause such loads to be more sensitive against power system disturbances. Thus, the power quality problems have gained more interest recently. This paper presents a review of some of the disturbances, on the source side that may cause problems on the load side. The focus is given on problems associated with voltage dips as voltage dips have been reported to be the most severe problems to industrial loads. The power quality has an important role in the power supply industry. As the power providers are turning to smart grid and smart meters, the standards for power quality needs to be revisited. The power quality can be categorized into two groups, one addressing the standard for the power quality supplied at the grid level and the other group which deals with the factors that affect the power quality at user level. These factors include harmonics, voltage changes, sags, transients, voltage unbalance, etc. These factors will provide us in- depth details about the power system network. In this paper, an overview of various factors will be presented in order which can affect the power quality of the system.

Survey on Number Automatic Plate Recognition System
Authors:- Ankita S Sawalkar, Anas S Pathan , Anuja P Kakade, Bhushan R Chandne, Prachi P Telvekar

Abstract- Automatic Number Plate Recognition (ANPR) could be a fairly well explored drawback with several winning solutions. However, these solutions area unit usually tuned towards a selected atmosphere thanks to the variations within the options of variety plates across the globe. Algorithms written for number plate recognition area unit supported these options and then a universal resolution would be troublesome to appreciate because the image analysis techniques that area unit accustomed builds these algorithms cannot themselves boast hundred percent accuracy. The main focus of this paper could be a planned formula that’s optimized to figure with Ghanese vehicle variety plates. The formula, written in C++ with the OpenCV library, uses edge detection and has Detection techniques combined with mathematical morphology for locating the plate. The Tesseract OCR engine was then accustomed determine the detected characters on the plate.

A Review on Failure of Gears (Cluster Gears Shaft) and its Preventions
Authors:- Research Scholar Shubham Jamnik, Associate Prof. S. M. Fulmali

Abstract- There are various reasons due to the gear may fail, few of them could be application error, design error, manufacturing error or application error. According to American gear manufacturing association, the failures of gear can be classified into four major categories namely surface fatigue, wear, plastic, and breakage. It has been observed that in most of the cases the failure starts from the bearing. The statistics of gear failure shows that 2.8% of the gear fails due to handling errors, 6.9% due to overload, 17.7% due to installation error, 19.6% due to contamination, and 34.4% of the gears fails due to inadequate lubrication. An in depth review of failure of gears along with its reasons and precautions are carried out in this article. In addition, the failure of cluster gear shaft mounted in a tractor gear box is discussed.

Happy Minds: Mental Health App
Authors:- Prof. Mrs. Pooja Bhore, Hetavi Manani, Sunny Patil, Asawari Gulmire, Parshva Chordia

Abstract- Mental health – something that affects our overall well-being and is essential in our daily lives – is frequently overlooked, particularly in India, where it has become a taboo subject. It determines and regulates our mood, how we communicate, how we deal with stress, and how we make decisions. It is especially important when it comes to our physical well-being, as it has a direct impact on our mood and vice versa (Ref 1). There are apps designed specifically to address the need for regulating, improving, and maintaining good mental health, assisting people in overcoming anxiety, depression, panic attacks, and other mental illnesses. Recently, in light of the global pandemic, we’ve seen an increase in the number of such apps available at our fingertips, with only 5% not being fully functional. Reference 1: Purves D, Augustine GJ, Fitzpatrick D, et al., editors. Neuroscience. 2nd edition. Sunderland (MA): Sinauer Associates; 2001. Physiological Changes Associated with Emotion. Available from:.https://www.ncbi.nlm.nih.gov/books/NBK10829/.

Controlling Solar Charger System by Means of Microcontroller
Authors:-M.Tech. Scholar Pottabathini Nikhil, M. Tech. Scholar Ganji Mahima

Abstract- Mental health – The purpose of this mission is to layout and construct a sun price controller, using mostly discrete additives. The rate controller varies its output to a step of 12V; for a battery of 200Ah rating. The design consists of four ranges which consist of modern booster, battery stage indicator, battery rate controller and electricity supply unit. The designed device may be very useful, durable, desirable cost and realizable the use of regionally sourced and less expensive additives. This work is a prototype of a commercial sun charge controller with protection systems so as to prevent damages to the battery related to unregulated charging and discharging mechanisms.

Sophisticated Air Quality Detecting System Using Raspberry PI
Authors:- K Ajay Kumar Reddy, Manchikatla Prathiba

Abstract- With a growing air pollutants, we developed a sophisticated Air quality detecting system using Raspberry Pi 3B+. The device includes monitoring the air first-class through the use of considering parameters like Suspended particulate keep in mind (SPM), Carbon dioxide, Ozone, Carbon monoxide, Smoke, temperature and humidity. Particulate depend being a completely vital parameter offers a smooth indication of pollutants in that precise time within the area. The ones pollutant records are extracted using sensors like MQ7, MQ135, MQ9, DSM501A, DHT11, and so on. Maximum of those sensors produces analog output so an Analog to digital converter is wanted earlier than providing the statistics to the Raspberry pi 3B+ microcontroller. the usage of software program and coding of the Raspberry Pi 3B+, the statistics are analyzed and a graph to show the modifications in the locality and time in which the test is plotted. The results acquired have been hooked up. The check is carried out in a locality at Rajarhat, New metropolis, Kolkata and the outcomes had been in evaluation with that from a neighborhood environment manipulates authority. This gadget would assist to take actual-time decisions and really effective in today’s state of affairs of excessive air pollution in maximum of the Indian towns.

Hydroponic System Monitoring by Means of Solar Energy
Authors:- M. Tech. Scholar Kanduri Navya Sri, M. Tech. Scholar Megavath Shankar

Abstract- The main idea behind this project is to develop a hydroponic system monitored by using solar energy. The hydroponic system uses water with required nutrients as a medium to grow instead of soil. For the power supply to the Arduino Uno, a microcontroller to control all sensors and for collecting and displaying the data to the users, we use solar energy. Different sensors such as propylene float water level sensor, pH sensor, and temperature sensor are used to monitor the elements, which helps users in the hydroponic system. For monitoring the system, the code was implemented by using Aurdino Software [5]. The temperature, water level, and Ph are measured and collected for further analysis.

Energy Efficient IoT Based Smart Home Automation Unit
Authors:- Venkata Ramana N, E Apoorva

Abstract- Advancement in IoT primarily based totally utility has end up the state-of-the artwork era for the various researchers because of the presence of Internet everywhere. To make the utility extra easy access to users, working with internet, android related technology has won their significance in current trend of technology. In this paper, IoT based low power consumption automation device of home is proposed which could monitor and command the domestic equipment from anywhere through internet. For this device, Internet connectivity module is connected to the primary power supply device which may be accessed via web. Static IP inclusion adds wireless operation to it. Home automation is primarily based totally on multi-modal utility that may be operated with the usage of voice reputation command of the person with the usage of the Google Assistant or via an internet-based utility. Thus, essential goal of this equipment is to make our domestic automation gadget extra stable and sensible.

Real Time Object detection and Tracking Using Open-CV
Authors:- Zaid Bin Shafi

Abstract- Computer vision is a very progressive and modern part of computer science. From the scientific point of view, theoretical aspects of computer vision algorithms prevail in many papers and publications. The underlying theory is really important, but on the other hand, the final implementation of an algorithm significantly affects its performance and robustness. For this reason, this paper tries to compare the real implementation of tracking algorithms (one part of the computer vision problem), which can be found in the very popular library OpenCV. Moreover, the possibilities of optimizations are discussed. An object Tracking System is used to track the motion trajectory of an object in a video. First, I use the OpenCV’s function, select ROI, to select an object on a frame and track its motion using a built-in-tracker. Next, Instead of using select ROI, I use YOLO to detect an object in each frame and track them by object centroid and size comparison. Then I combine YOLO detection with the OpenCV’s built-in tracker by detecting the object in the first frame using YOLO and tracking them using select ROI. Video tracking is widely used for multiple purposes such as human-computer interaction, security and surveillance, traffic control, medical imaging, and so on.

A Power System DG Protection and Power Scheduling Using Breaker Triggering Time Controlling
Authors:- Amit Yadav, Assistant Professor Deepak Bhataniya

Abstract- Modern electrical power system is spreaded over large geographical area with great complexity. Power quality requirements resulting from such great complex electrical network have motivated the improvement of fault location methods and development of protection scheme for grid. Grid is a vital, often overlooked, part of the power system. Even though faults on grid are very rare, they can lead to disturbances & major shutdown of power system network. Thus, protection of grid requires highly reliable, fast and high speed relaying scheme. With the fast changing technologies in the field of grid protection, new protection concepts addressing new technologies are coming to the market.

Plant Leaf Disease Detection & Fertilizer Suggestion using CNN
Authors:- Aniket K. Sawale, Akash V. Bhambere, Suvarna I. Patil, Manali B. Kapadnis

Abstract-Every country’s primary need is Agricultural products. If plants are infected by diseases, this impacts the country’s agricultural production and its economic resources. In agriculture for an efficient crop yield early detection of diseases is important. Automatic methods for classification of plant diseases also help taking action after detecting the symptoms of leaf diseases. In the agricultural sector, identification of plant diseases is extremely crucial as they hamper robustness and health of the plant which play a vital role in agricultural productivity. These problems are common in plants, if proper prevention methods are not taken it might seriously affect the cultivation. The current method of detecting disease is done by an expert’s opinion and physical analysis, which is time-consuming and costly in the real world. We are introducing the artificial intelligence based automatic plant leaf disease detection and classification for quick and easy detection of disease and then classifying it. This main aim of ours system is towards increasing the productivity of crops in agriculture. In this approach we have follow several steps i.e. image collection, image preprocessing, segmentation and classification.

A Review Article of Comparative Analysis of Geotextile and Geojute Compressive Strength
Authors:- Arpan Gupta, Prof. Sh. Vinay Deulkar

Abstract- This study covers a literature search and review to obtain information on geotextile applications related to pavement construction. Applicable information-from this study, if sufficient, would then be used to prepare guidelines on design application, material specifications, performance criteria, and construction procedures for improving subgrade support with geotextiles in general aviation airport pavements. The study revealed that there are numerous design procedures available for using geotextiles in aggregate surfaced pavements and flexible pavement road construction. However, there is no generally accepted procedure for either type construction. The state-of-the-art has not advanced to the point where design procedures for using geotextiles in paved airport construction are available. Construction/installation procedures are available for using geotextiles in aggregate surfaced pavements and flexible pavements for roads, and these may be used as an aid in recommending procedures for airport construction.

IOT Based Auditorium Sound Controlling System
Authors:- M. Tech. Scholar Banothu Prashanth, M. Tech. Scholar Bodupalli Sindhuja

Abstract- It hasbecome a certain thing that there would be communication in our day-to-day life but due to the limitation of the human voice, this project came into existence. A public address or “P.A system” is anamplification system that is used in our design that consists of a mixer, amplifier, loudspeaker, and microphone that converts sound into electrical energy this electrical signal produced arebeing transmitted to the amplifier circuit to amplify the signal. The amplified is thus given as input to the loudspeaker that converts the electrical signal back to the original form but amplification is done here. The overall design is made up of a power supply unit, the pre-amplifier, and pre-amplifier units,a tone control unit, anda Bluetooth module. The overall design is constructed for delivering 20W electrical power into an 8-ohm load means the loudspeaker. This design comprises of fixing each classroom with a sound controlling system and the control will be in the hands of the main person who wants to communicate the information according to his /her selection. RF technology has been used here to make the loudspeaker turn ON according to the selection.

Wearable Health Monitor for Soldier
Authors:- M.Tech. Scholar Pamba Anjanamma, M.Tech Scholar Gunde Harish

Abstract-The nation depends upon the enemies’ warfare and so the safety of the soldiers is considered as vital role in it. Many times soldiers become lost or injured. This project gives the ability to track the current location and gives the current health status of the soldier and also concerning the soldiers’ safety, there are many instruments to view their health. In soldier’s health monitoring, bio-sensors systems such as temperature sensor and heart rate sensor give the result of abnormal condition when the level goes low or high. The GPS sensor gives the latitude and longitude to find the direction becomes easier. GSM module can be used for effective range of high-speed transmission, short-range and soldier-tosoldier wireless communications that will be required to relay information on critical situation awareness so that the rescue operation become easier. Both GPS and GSM devices are being added to weapons and firearms, and some militaries such as theIsraeli Army which are exploring the possibility of embedding the devices into soldiers’ vests and uniforms. Through this project, we continuously monitor the health status (body temperatureand heart rate) of the soldier and transfer the data wirelessly to the website using mobile as a server through IOT. So by using these equipments, we are trying to implement the basic lifeguarding system for soldier in low cost and high reliability..

Smart Virtual Indoor and Outdoor Guiding System for Blind People
Authors:-M. Tech. Scholar Samamah Rafath, M. Tech. Scholar Harish Pamu

Abstract-This paper presents a Smart system for visually impaired, that make use of ultrasonic sensors and camera. The main aim of this work is to design a voice-based alerting system for the blind people. Visually impaired individuals find navigation difficult as they struggle every day in performing actions for bypassing obstacles and hurdles in their path. In order to help blind people, navigate safely and quickly this system is proposed. Ultrasonic sensor is placed on the spectacle which is used for obstacle detection with distance indication. The camera is used to detect the object in front of the blind people and alert them using the APR voice module. This system prevents the blind people from accidents and identifies the object in front of them.

IOT: Prime Challenges, Problems and Analysis using New Technologies
Authors:- K. Rajkumar, G. Sai Keerthi, N.Pooja

Abstract- Internet of things is best domain for sharing and for communicate the data to real world. Now a day’s many things are connected with each other using different mediums and produce information various formats and offers different service. IoT brilliance in internally connected objects for communicate, giving information to others and making decisions and to provide service service as per our requirement. The network protocols and architecture use things, information produced by the things leads to several issues such as policy issue, security issue, complexity and standardization. This research gives the idea about the different challenges of internet of things and various issues, as it leads to technologies which are associated for internet of things and provides the solutions to the issues.

Techniques for Retrieving Images based on the Region of Interest
Authors:- PG Scholar V.Divya Madhuri, PG Scholar G.Sai Prasanth Kumar

Abstract- This paper depicts how to find interest base image area, techniques and algorithm for image retrieval. Portion of an image is considered important or selected specified area of an image defines a region of interest. With the help of content-based image retrieval systems, retrieval performance in large databases can be revamped which handles the extraction of global and regional features of images. Region-based features exhibited to be more effective, reflecting user specific interests with greater precision and accuracy than global features. Extraction of features, indexing, segmentation and image retrieval are the jobs need to be done in retrieving images in order to meet the similar regions specified in the task given. In this paper, the basic idea of ROI (Region of Interest) based retrieval of image concepts is depicted and it is anticipated to provide researchers that are working in ROI based retrieval system field. This paper also reviews the work of researchers included in the span of twenty years. Main aim of this paper is to provide comprehensive reference source for researchers involved in ROI based image retrieval. Algorithm of operations performed on ROI of images retrieved is implemented in MATLAB software with results are provided.

A Review on Mechanical Properties of Engineered Cementitious Composites
Authors:-UG Scholar Chilumu Ruchitha, UG Scholar Gudibandla Spandana, UG Scholar Guthikonda Pallavi, UG Scholar Nakerekanti Vasantha, Asst. Prof. Ch Saidhi Reddy, Asst. Prof. P Janardhan, Asst. Prof Modugu Naveen Kumar

Abstract- This paper provides an overview of the various properties of engineered cementitious composites (ECCs) that are used in a variety of structural applications. Different properties of engineered cementitious composites are investigated in this paper, including tensile, flexural, compressive, tensile strain capacity, shear strength, toughness, fibre matrix interaction, drying shrinkage, water permeability, sorptivity, cracking, impact and frost resistance, and beam-column connection behavior. According to the study, ECC has a much greater strain capacity than conventional concrete, as well as a higher energy absorption capacity, defection capacity, and impact resistance, as well as a crack width of less than 100 m. The use of mineral admixtures improves tensile strain capacity with multiple fine cracks, while compressive strength and carbon dioxide emissions decrease, according to the findings of various studies. Fiber hybridization can increase ECC’s strain hardening with various fine cracking, flexural and toughness properties, impact resistance, and crack width resistance.

Automatic Destination Reaching Drone Using Autopilot Software
Authors:- PG Scholar N.Vasundhara, PG Scholar G.Ravi

Abstract- This paper represents Quadcopter (QC) as a low- weight and low-cost autonomous flight capable Unmanned Aerial Vehicle (UAV) for delivering ordered by online by using an autopilot software as its core on-board processing unit. This Quadcopter by following Google map can locate and navigate destination. This paper demonstrates the Quadcopters capability of delivering order by online and coming back to the starting place. The promising result of this method enables future research on using Quadcopter for delivering parcel.

Performance and Modeling for the Home Solar Thermal and Power Supply System and Energy Management
Authors:- M.Tech. Scholar Rajkumar Baghele, Asst Prof. Shyam Kumar Barode, HOD Sachin Jain

Abstract-PVT hybrid systems (photovoltaic and thermal) are solar photovoltaic systems that are combined with a thermal energy system. Because the hybrid system uses the same area to generate both electricity and heat energy, the system’s overall efficiency improves Aside from crop drying and air heating, a solar PVT system may be built into a structure’s façade, which is known as a building integrated PVT system (BI/PVT). The increasing cost of fossil fuel and crisis of energy has led the world in a quest for exploiting the free and naturally available energy from the sun to produce electric power. This thesis summarizes the development situation of the solar thermal electric technology with description and comparison for three prevalent power generation methods: PV tracking techniques are the methods for positioning solar panels to maximize the quantity of solar irradiation that can be captured. A fixed-tilt solar panel is frequently placed utilizing manually adjustable panel slops, which have the advantages of being cheap cost and simple to install. However, because the sun’s location changes during the day or year, they are unable to benefit from the maximum amount of solar irradiation possible PV tracking technology allows a PV array to automatically adapt to the sun’s high-density beams. The PV tracker necessitates the purchase of additional components and accessories, such as a motor, gear, control unit, and sensor, which raises the cost of the PV system.

Handover Using Fuzzy Analytic Hierarchy ProcessHandover Using Fuzzy Analytic Hierarchy Process
Authors:- G. Bhuvana Sri, S. Durga

Abstract- The Next Generation Networks have heterogeneous nature and cover wide range of technologies such as Long-Term Evolution (LTE), Wireless Local Area Network (WLAN), Worldwide interoperability for Microwave Access (WiMAX) etc. with a variety of data rates and coverage. When a user travels at a certain speed and continuously changes the direction, good connectivity and reasonable Quality of Service (QoS) should be provided in order to manage the switch over between various networks.

Design of Efficient BCD Adders Correction Logic in QCA Technology
Authors:- Sandu Ajay Kumar, Mudavath Kavitha

Abstract- Recent experiments in the field of VLSI designing and Nanotechnology have demonstrated a working cell suitable for implementing the Quantum-dot Cellular Automata (QCA). QCA is a transistor less computational model which is expected to provide high density nanotechnology implementations of various CMOS circuits. QCA has been constrained by the problem of meta-stable states. QCA adder with comparatively less number of cells and area has been proposed in this project. This paper also demonstrates a reversible logic synthesis for one bit adder which gives a superior solution for side channel attack based on power analysis in security applications. The new proposed hybrid method reduces cell counts and area and uses conventional form of QCA cells. QCA implementation provides efficient design methodology for faster speed, smaller size and low power consumption when it compared to technology imposed by transistors. QCA provides ability to quickly layout a QCA design by providing an extensive set of CAD tools.

Footprint of AI in VLSI Design Automation
Authors:- Anusha Anugu, Akshay Pittala

Abstract- This paper deals with the impact of Artificial Intelligence on the VLSI chip design techniques . An evident challenge ahead for the integrated circuits (IC) industry in the nano meter regime investigation .The splendid progress on VLSI technology and gradual shifting of VLSI chips designs to Ultra large scale integrated (ULSI) circuits system made the use of computer aided design (CAD) and programs(tool) helped significantly to the automation of VLSI chip design. Anyhow, by integrating and placing these tools together into one package, the functionalities and the effectiveness of CAD programs decreased drastically. To reduce these problem researchers suggested artificial intelligent techniques. Conventional methods employed for such tasks are mainly manual; thus becomes more time-consuming and resource-intensive. Artificial intelligence techniques like expert and knowledge-based systems, at first define the problem and then select the best solution from the different possible domains of solutions. Using AI algorithms in VLSI design and manufacturing them reduces the effort and time for processing and understanding the data across and within different abstraction levels by automated algorithms. Artificial Intelligence performance and their techniques used in aiming VLSI design for automation intelligence and high speed, and their efficient way of implementations are discussed in this paper.

Factor Affecting Labour Productivity In Construction Projects
Authors:- Umang Mandloi, Assistant Prof. Diwakar Singh

Abstract- Construction project is said to be successful if it is completed in schedule duration and estimated cost. For that purpose productivity has to be efficient. Productivity forecasting plays an important role in strategic and operational planning. Quantitative forecasting is used for decision making process for many of complex situations. The construction industry is a unique one, highly diversified and fragmented, and one that produces unique products. It is not therefore less difficult to define labor productivity in this industry than it is in the rest of the industry. Labor productivity is still a complex issue in construction and extremely difficult to measure due to the heterogeneity of the industry’s products as well as of its inputs. Accordingly, in this study a review on improvement of labour productivity in construction industry.

Performance of Video Streaming Based on Canny Edge Detection Algorithm
Authors:- M.Tech. Scholar Nikhil Soni, Prof. Mahesh Prasad Parsai

Abstract- In image processing and computer vision, figuring out where the edges are is important. object recognition is used in computer vision to give more accurate information about an image’s contents as well as to improve the security and reliability of the image as a whole. There are likely to be many people who use face and pedestrian detection. In this study, we point out some problems with the traditional way of figuring out where the edges are. The goal of this work was to improve edge detection by filtering and setting thresholds for different contrasts in a picture. This study shows how to get moving and strong edges with an improved canny edge detection method. In order to cut down on the amount of data that needs to be processed while still keeping the important structural parts of an image, the main features can be found at the edges. With edge detection and morphological image processing, this study comes up with a new way to process images based on footage from a video. An inflammatory area can be found with a new way to get processed images. It will be more efficient and easy with the help of clever edge detection, so it will. Our findings suggest that we are very good at what we do. 98 percent of the time, 97.618 percent of the time. More than 90% of the 86 microseconds have passed. A person walks at a speed of 2.12 seconds per minute.

Antitheft and Multifunctional smart suitcase with real-time tracking system
Authors:- Prof.Siddhesh Khanvilkar, Mr. Sahil Bhurke, Mr. Shubham Anbhule, Mr. Shravan Chilka

Abstract- The main idea of the Smart Luggage System IoT Project is to develop an easily usable bag carrying machine. This is not just an automation but its beyond that. Bags carry a vital role in our travelling regardless it be a hiking bag or a polythene bag or a travelling bag. Pulling it all over has been done since time immemorial. Visualizing of a bag that conveys its weight, traces its position, which automatically follows the user, by touching the current technology in the old carriers may reveal its true potential. This has always encouraged the project to be easy to use.

A Comparative Survey on Various Steganography Techniques
Authors:- M.Tech. Scholar Ashma Naz, Associate Prof.Shrikant Zade

Abstract- In present Scenario of the world, Internet has nearly reached to each part of our lives. Because of this, the vast majority of the data sharing and correspondence is completed utilizing web. With such fast improvement of Internet innovation, a major issue emerges of unapproved access to private information, which prompts most extreme need of data security while transmission. Steganography covers many kinds of covers to conceal information like text, picture, sound, video and protocols yet ongoing advancements focus around Image Steganography because of its huge information hiding limit and troublesome recognizable proof, likewise because of their more noteworthy scope and mass sharing inside social organizations. An enormous number of strategies are accessible to conceal secret information inside digital images like LSB, ISB, and MLSB and so on. In this paper, a detailed survey will be introduced on Image Steganography and furthermore various information hiding and security methods utilizing digital pictures with their scope and elements.

A New Approach for Image Steganography Using Inter Pixel Value Difference and Quantized Range Table Method
Authors:- M.Tech. Scholar Ashma Naz, Associate Prof.Shrikant Zade

Abstract- In the time of data, secret communication is quite possibly the main issues in the present communication framework. The improvement of computerized communication with information mystery becomes one of the fundamental reasons for the analysts. Among the information security methods, steganography is a way to deal with conceal the presence of mystery message in a transporter without being caught by the intruders. As of now, it is essential to conceal information and innovate systems by moving them so that the intruders cannot get the message. There are different information concealing strategies that utilization different advanced media. Digital images are the most well-known among the transporter designs on account of their recurrence on the web. In this paper, another methodology of image steganography with least significant bit substitution is proposed where the data inserted in the arbitrary bit position of a pixel. The test result implies the significance of the proposed technique.

Random Intervel Query and Face Recognition Attendance System for Virtual Classroom using Deep learning with AI
Authors:- Asst. Prof. Nallusamy P,Aravinth C, Goerge Williams A, Kishore K, Kowsik R

Abstract- In today’s competitive world ,most of the learning process take place in virtual mode due to the phenomenoal circumstances like COVID-19.The online learning makes the teachers and students in virtual classroom as an alternative for the one-on-one learning in physical classrooms.Instead of focusing on learning ,lectures are stuck with taking and maintaining the attendance record for the individual student in manual mode during the virtual classroom as it consumes the classroom time.It’s hard to keep students engaged without a teacher’s physical presence and face-to-face contact.In this paper ,we introduce the ‘Random Interval Query and Face Recognition Attendance System for Virtual Classroom using Deep Learning with AI’,which is an innovative solution for attendance monitoring issues during virtual learning.Here the attendance monitoring is done through face recognition with the help of AI.The algorithm used here is Deep Neural Network (DNN) learns and captures the unique features from each student ‘s face input.It collects the faces of student’s in the classroom and matches with the exact face of the student with the database that are stored in the server.However, it takes the accurate attendance of the student day by day and stores in server so that teachers can monitor and maintain their attendance properly.

University Computer Network Vulnerability Assessment
Authors:- PhD Research Scholar Kismat Chhillar, Assoc. Prof Saurabh Shrivastava

Abstract- University Computer Network being large, diverse and open in nature is highly vulnerable to attacks. This demands for high level of network security to maintain the confidentiality, integrity and authenticity of crucial data that university deals with on daily basis. This paper presents the scanning of a Computer Network of a University using scanning tools Qualys and Nexpose. The scan results were analyzed to provide remediations for vulnerabilities detected according to severity. Priority is given to vulnerabilities having critical severity. From scan results, CVE IDs of vulnerabilities weredetermined and then the risk associated with a vulnerability was evaluated using National Vulnerability Database (NVD) of National Institute of Standards and Technology (NIST). From CVE ID of a vulnerability, CVSS Base Score was noted from NVD. The Common Vulnerability Scoring System (CVSS) is used for scoring of vulnerabilities based on their severities form score of 0 to 10. Risk score is also given in the scan results of Nexpose. Based on the risk that a vulnerability possesses on a network, further decisions on remediations can be taken by the concerned authorities. Critical vulnerabilities need to be dealt on priority basis else there are high chances for them to be exploited by attackers which in turn might create a serious damage to the host or network. Current paper presents vulnerability assessment and risk level estimation of critical vulnerabilities of University Computer Network.

A Study on Construction of Flyover to Avoid Traffic Congestion
Authors:- Bhagyalaxmi Akkenepally, Galapati Deepa, B. Sony

Abstract- Miryalaguda is a congested place in Nalgonda district and populated with above 1 lack, existed with 80 rice mills, many educational institutes, Hospitals, railway station, etc.. The Nagarjuna left canal also existed near to this. All agriculture carts are used to transport through this way so it was necessary to handle the heavy traffic and for uninterrupted connectivity of the transportation. Construction of flyover can be reduce traffic, fatal and non-fatal accidents and make the facility to perform more transportation. Accidents were avoided by constructing a fly-over about 1 km distance, at Hanmanpet Cross Road from Peddavoora to Addanki Road. It includes 11 piers and 2 Abutments and connects all four roads at a junction. Open foundation was used for all piers and Abutments. Total station was used to locate exact centre points of piers. JCB Vibromax and Cranes are used to excavate and strengthening of soil. In order to remove rock strata explosive materials were used. Dumpy level was used to give reduced levels for Reinforcement according to standards and specifications and also estimated the quantity of rock. PCC and VRCC concrete and Fe415 steel with diameters of 10mm,8mm,12mm,16mm ,20mm,25mm bars are used in construction. Many field tests like slump cone test and cube compressive strength tests are performed to find the strength of concrete. The risk and failure of bridge elements was analysed and problems were solved while constructing and also traffic jams, accidents, head on collision incidents have been reduced. It takes around 24 crores.

Investigation the role of Data Science in Advancements for Mechanical Engineering
Authors:- Raghuvamshi Bathini, Ganji Lokesh, Avula Nivish

Abstract- Miryalaguda is a congested place in Nalgonda district and populated with above 1 lack, existed with 80 rice mills, many educational institutes, Hospitals, railway station, etc.. The Nagarjuna left canal also existed near to this. All agriculture carts are used to transport through this way so it was necessary to handle the heavy traffic and for uninterrupted connectivity of the transportation. Construction of flyover can be reduce traffic, fatal and non-fatal accidents and make the facility to perform more transportation. Accidents were avoided by constructing a fly-over about 1 km distance, at Hanmanpet Cross Road from Peddavoora to Addanki Road. It includes 11 piers and 2 Abutments and connects all four roads at a junction. Open foundation was used for all piers and Abutments. Total station was used to locate exact centre points of piers. JCB Vibromax and Cranes are used to excavate and strengthening of soil. In order to remove rock strata explosive materials were used. Dumpy level was used to give reduced levels for Reinforcement according to standards and specifications and also estimated the quantity of rock. PCC and VRCC concrete and Fe415 steel with diameters of 10mm,8mm,12mm,16mm ,20mm,25mm bars are used in construction. Many field tests like slump cone test and cube compressive strength tests are performed to find the strength of concrete. The risk and failure of bridge elements was analysed and problems were solved while constructing and also traffic jams, accidents, head on collision incidents have been reduced. It takes around 24 crores.

Ground water Level Prediction Using Random Forest Technique
Authors:- S. Valarmathi,N. Hariraghavan, K. Santharuban Supervisor R.P.Vijai Ganesh

Abstract- Ground water level predıctıon usıng random forest technique. most of the fresh water resources in our worldconsist of underground water reserves. estimation of fluctuations of groundwaterlevel (gwl)is very important in them anagement of water resources.in this study,ground water level (gwl) was investigated using random forest approaches in india. total689 data taken from various districts belonging to various states in india were used in the study. using the annual averageprecipatation and extraction level, the change in gwl is modeled by support vector regression(svr),multilayer perceptron(mlp),random forest(rf) approaches. the results showed thatrandom forest(rf) shows best result.

Ground water Level Prediction Using Random Forest Technique
Authors:- Nilesh Pathare, Kamlesh Gurjar

Abstract- Improving the efficiency of any operation in the Manufacturings sector, whether manufacturing, distribution, or support services, is much more than a one off exercise. In the current economic climate, with reduced demand from the construction, automotive and aerospace industries, added to increasing threats from overseas suppliers, and customer- led demands for cost control, it is essential to have a mechanism in place which reviews and updates processes and systems, and looks for smarter ways of working The present study has covered three areas namely, environmental accounting, reporting, and auditing. Keeping in view the observations of the study, suggestions have been made in each of these three areas. The recommendations are for the benefit of professional accounting bodies, government, regulatory authorities, professional accountants, companies, and various stakeholders.

A Cycle Simulation Model Of A Diesel Engine For Predicting The Performance Using Python
Authors:- M.Tech. Scholar Sneha Waghmare, Assistant Prof. B. V. Lande

Abstract- Experimental research generally requires a significant amount of work, money, and time. To forecast the performance of a diesel engine, a cycle simulation model containing a thermodynamically based single zone combustion model was constructed. For compression ignition (C.I) engines, a thorough computer code was built using ‘Python’ programming language. Combustion factors including cylinder pressure, heat release, and heat transfer were studied, as well as performance characteristics like work done, braking power, and brake thermal efficiency (BTE). The characteristics at each degree crank angle were computed using the first law of thermodynamics. The maximum pressure and temperature value was determined to be quite near to the experimental value based on the results.

GIS-Multicriteria Evaluation Using AHP For Geohazards Susceptibility Mapping In The City Of La Paz, Baja California Sur., Mexico(Vista Hermosa Urban Settlement)
Authors:-Joel Hirales-Rochin

Abstract- Actually, geology has become a fundamental tool to determine areas of susceptibility, vulnerability and geological risk. The geological dynamics and the accelerated changes of the processes at the climatic level in the last decades have demonstrated the close relationship between geological space and sustainable urban development of a city. From this interaction, it is possible to respond to the growing demand for environmental and urban solutions. At the national, regional and local level where the study area is located, there is a growing need to create new urban areas, but these are not linked to an adequate analysis of the geological environment and knowledge of the main factors that control susceptibility vulnerability and risk conditions and consequently, their impacts.The methodology to achieve the objectives was based on a characterization of the geological, hydrogeological and geomechanical conditions of one of the main urban irregular urban settlements of the city of La Paz, capital of the State of Baja California Sur., Mexico, using the methodology. of the Analytical Hierarchy Process (AHP), in combination with the multi-criteria analysis (MCA), thus obtaining a risk susceptibility map and a set of thematic maps related in local areas to flood events, debris flows, landslides rocks and landslides. The results represent the first stage of a larger project and with this it is possible to contribute new knowledge to be used in the more precise zoning of geo-hazards, which will allow the State capital a sustainable growth of the population of the city., the improvement of current construction standards and the corresponding zoning to anticipate their development in an orderly manner.

Implementation paper for Weed Detection in Agricultural Crops
Authors:-Pradnya Nikam1, Kartiki Borage, Shreyash Lokhare, Shraddha More, Prof. Pushpavati V. Kanaje

Abstract- AWhen a plant is in a place where it shouldn’t be, it is called as weed. Weeds are one of the major problems faced by the farmers because they result in reduction of yield. There are few algorithms developed to identify crops and weeds. In this paper, we focus on identifying the weed present between the crops which compete with the crops for nutrition, sunlight, water etc. The objective to develop such a model is that, if we identify weeds, we can find out which areas should not be sprayed with pesticides, water and other nutrition and eventually it will result in reduction of weed. In our paper, we have proposed a system in which we will pass a video and CNN, Yolo algorithms are used to identify the weed. The purpose of selecting Yolo algorithm is that it has become a industry standard for object detection due to its speed and accuracy and CNN helps us to reduce images in such a form that processing becomes easier, also this process does not result in losing any features that are critical for giving us good prediction. The contributions of this paper are to: study and present an approach to identify weeds that are present in crops, develop a method that can identify weed in plantations.

Channel Estimation and BER Reduction Using Artificial Neural Network
Authors:- M.E. Scholar Pankaj Kumar, Asst. Prof. Komal Kanojia

Abstract- The work proposes Inter-Symbol Interference (ISI) reduction scheme, ISI being a major problem in Optical systems, which produces various type of non-linear distortions. So the implementation of OFDM system using Artificial Neural Network (ANN) scheme with M-QAM modulation technique is proposed and compared with the conventional OFDM system without using ANN. This proposed scheme is implementation of Backpropagation (BP) algorithm over AWGN channels to achieve an effective ISI reduction in orthogonal frequency division multiplexing (OFDM) systems. Simulation results prove that ANN equalizer can further reduce ISI effectively and provide acceptable BER and better MSE plot compared to conventional OFDM system.

IOT Enabled Smart Charging Stations for Electric Vehicles
Authors:- Prof. R.A.Sanadi, Gauri M.Patil, Rutuja M. Patil, Anjali P. Sankpal, Samruddhi S

Abstract- Fuel that we are using for our vehicles has limited supply in nature. So, everyone moving towards electrical vehicle to consume fuel as possible. But still people are not ready to change electrical vehicle over present fuel vehicles. One of the reasons for this is because of price and lack of charging stations. Even if there are few charging stations are available, people must have to spend extra time for charging the vehicle. Also, car parking has become a major problem in urban cities. So, by looking at these issues we can provide a smart parking with charging availability to the most commercial buildings, petrol pumps, etc. This will reduce the efforts of finding for slot of parking. Also, there is no need to invest more time for finding charging station. This project gives you brief idea about the wireless power transfer technology for EV’s and charging systems with IOT. In this project, research of IOT based smart parking methods which are implemented is studied and comparison is done between combined parkingand charging system with separated parking and charging system.

A Review On Prediction Of Piston Performance Using Two Varience Anova Method
Authors:- Sheikh Mohshin Raza, Assistant Professor Kamlesh Gangrade

Abstract- Piston plays a main role in energy conversion. Failure occurred of piston due to various thermal and mechanical stresses. The working condition of the piston is so worst in comparison of other parts of the internal combustion engine. The main objective of this work is to investigate and analyze the stress distribution of piston. Design and analysis of an IC engine piston using three different materials that are used in this project.

Prediction of Wine Quality Using Machine Learning Algorithms
Authors:- Associate Prof. Lakshmi.D, Anil Kumar.B, Guda V.S.C.S.S.Gowtham, Konda Venkata Saran Vineeth

Abstract- Piston plays a main role in energy conversion. Failure occurred of piston due to various thermal and mechanical stresses. The working condition of the piston is so worst in comparison of other parts of the internal combustion engine. The main objective of this work is to investigate and analyze the stress distribution of piston. Design and analysis of an IC engine piston using three different materials that are used in this project.

Telemedico Portal for Booking Consultation with Best Doctors
Authors:- Asst. Prof. Bhagyata Mhatre, Sneha Khollam, Kirti Patil, Snehal Patil, Pratiksha Bhosale

Abstract-It is a real challenge when we try to move through an unknown environment and can’t rely on our own health. As during this COVID-19 pandemic many peoples are facing problems to visit the clinics and take the consultations with the doctors. As the condition is not being good so it is not suitable for a person to take the physical consultation with the doctors. This paper focuses on developing online portal names as ‘Telemedico’ to make audio or video consultation with doctors online. This portal is the distribution of health related services and information via electronic information and telecommunication technologies. It allows long-distance patient and clinician contact, care, advice, reminders, education, intervention. Telemedico is sometimes used as a synonym, or is used in a more limited sense to describe remote clinical services, such as diagnosis and monitoring. When rural settings, lack of transport, a lack of mobility, conditions due to outbreaks, epidemics or pandemics, decreased funding, or a lack of staff restrict access to care. Online information and health data management and healthcare system integration. Telemedico could include two clinicians discussing a case over video conference.

Review of Structural Analysis of Steel Plate Shear Wall
Authors:- Research Scholar Piyush Kumar Jaiswal, Asst. Prof. Rahul Sharma

Abstract- For construction activity normally we use materials as concrete and steel to build up tall buildings. In concrete there are different constituents like aggregate, cement, sand, admixtures, water and plasticizers from which we can achieve the characteristic strength according to our structure. We also use various grades of steel like MS, TOR, TMT, depending on the type of structure. We can construct building by using these two main components up to the limit that means the deign limits according specified by the IS 456:2000 ‘Plain and Reinforced Concrete’. But for the high rise structures we cannot go only by using these two components i.e. concrete and steel. We have to choose some different alternatives or different systems to construct the high rising structures therefore we can see system like Steel plate Shear Wall (SPSW) suggested by different scientist that we are going to study in this paper. We are going to study the Performance of Steel Plate Shear Wall during Past Earthquakes events. In this paper we will also study the testing on steel plate and also the different case study of SPSW system.

A Review Study on Applications of Big Data in Business Organizations
Authors:- Saumya Satija

Abstract- In this digital era, huge amount of data is generated and available to the decision makers within an organization. Big data is a term used to describe the large volume of data that can be structured or unstructured which the traditional tools and techniques cannot handle. Business organizations have a huge amount of data that affects their business on day to day basis. It includes data that can be viewed and analyzed by different audience obtaining different knowledge and creates value for making effective decision for the business to sustain and achieve its objectives. This review paper aims to identify some of the applications of big data analytics in different verticals of business that helps in effective planning, controlling, directing, and allocation of resources for innovation and creation of new ideas that help an organization to sustain, grow and increase its revenue.

Application of Machine Learning and Deep Learning Algorithms in the Detection of Parkinson’s Diseases: a Review
Authors:- Saloni Bhatia Dutta, Rekha Vig

Abstract-Neuroimaging studies including functional, structural and molecular modalities that provide with underlying features and biomarkers for the detection of Parkinson’s disease (PD). The usage of multimodality techniques in neuroimaging can help in diagnosing the disease from new perspective with better accuracy. This paper deals with the study of different Machine Learning (ML) and Deep Learning (DL) algorithms that had been applied on different modalities like Magnetic Resonance Imaging (MRI), it’s various variants, Positron Emission Tomography (PET), Single Photon Emission Tomography (SPECT) and data like handwritten images, voice data, Gait data etc. Papers which implemented ML or DL techniques on these modalities have been reviewed and the method, cohorts along with results provided by each paper has been well illustrated.

Human Activity Detection Using Deep Learning
Authors:- Asst. Prof. CVSN Reddy, Karthik B, David Antony Selvaraj A, Gagan GR, Ramesh Roshan M, Adarsh SM

Abstract- In this modern world, Human activity Recognition and Detection are gaining importance where it is and will be used in many upcoming innovations, not only in security and surveillance but also in understanding the behavioral patterns of humans. The purpose of this project is to develop a model that would take the video input from different sources like recorded videos and detect actions that are being performed by the people which is commonly referred to as Human Activity Recognition or Human Activity Detection. To emphasize its importance the project aim is to build a model which can intelligently classify the video clips related to human activities. The project is making use of keras library where video classification is involved and implementing the model by using CNN and LSTM algorithms. The expected result can be a wise application that could predict various human activities. The project has made use of the UCF50 – Action Recognition dataset to train the model.

A Review of Intrusion Detection Systems
Authors:- M.Tech. Scholar Bablu Karoriya, Asst. Prof. Girish Gogate

Abstract- The intrusion Detection System (IDS) monitors and detects intrusion attacks. This article examines current IDS research employing Machine ML technique; dataset, ML metric and algos The choice of data sets is vital. Verify model construction for IDS usage. Also, dataset Structure may impact ML algorithm performance. So, ML algorithm selection is influenced by the chosen dataset. Then metric will supply a ML algorithm assessment on a given dataset. This soft computing approaches are getting many have given it here. In Also, numerous scholars are studying categorization of IDS, which helps identify known intrusions attacks. But it may be difficult to recognise anomalous incursion, new or modified intrusions. Many researchers were still Using KDDCup99 and NSL-KDD, are nearly 20. This tendency might lead to stagnant IDS as intrusion attacks continue adapt to new technology and consumer habits Ultimately, this circumstance renders IDS obsolete. a cyber security tool Popular metrics for Its strengths include accuracy and True Positive. TPR and FPR (FPR). Expected, since these metrics give vital information highly important for IDS.

Telemedico Portal for Booking Consultation with Best Doctors
Authors:- Asst. Prof. Bhagyata Mhatre, Sneha Khollam, Kirti Patil, Snehal Patil, Pratiksha Bhosale

Abstract- The intrusion Detection System (IDS) monitors and detects intrusion attacks. This article examines current IDS research employing Machine ML technique; dataset, ML metric and algos The choice of data sets is vital. Verify model construction for IDS usage. Also, dataset Structure may impact ML algorithm performance. So, ML algorithm selection is influenced by the chosen dataset. Then metric will supply a ML algorithm assessment on a given dataset. This soft computing approaches are getting many have given it here. In Also, numerous scholars are studying categorization of IDS, which helps identify known intrusions attacks. But it may be difficult to recognise anomalous incursion, new or modified intrusions. Many researchers were still Using KDDCup99 and NSL-KDD, are nearly 20. This tendency might lead to stagnant IDS as intrusion attacks continue adapt to new technology and consumer habits Ultimately, this circumstance renders IDS obsolete. a cyber security tool Popular metrics for Its strengths include accuracy and True Positive. TPR and FPR (FPR). Expected, since these metrics give vital information highly important for IDS.

IOT Based Smart Energy Meter Monitoring with Theft Detection
Authors:-Ramkrishan Nishad, Deepali Salunkhe, Mayur Thorat, Prof. Sachin Desai

Abstract- In India, the demand for energy, especially electrical energy, is sky- rocketing and posing several problems for policy-makers, administrators, industrial and house-hold consumers. The hardest hit is the common house- hold consumer who not only has to pay the rapidly increasing prices for electricity, but also has to put up with frequent power-cuts, load-shedding, fluctuating voltages, power theft, faulty meters and most of all suspiciously high bills. When consumers know in real-timethe pattern of consumption of their house-holds, they will be able to control their usage and guarantee savings. World’s main focus is to make a smart home to take advantage in providing comfort for human life. Web technology is a thing which is growing all the time. Embedded systems with Internet on Things (IoT) is becoming important and necessary part in the current IT industry and exhibiting potential market. Power consumption and efficiency with a user’scomfort level is most important issue during this stage while performing various operations. This system gives theinformation on meter reading, power cutand the alert systems for producing an alarm when energy consumption exceedsbeyond the specified limit using IoT. This idea is being implemented to reducethe human dependency to collect the monthly reading and minimize the technical problems.

Self-Cleaning Concrete: The Future
Authors:-Prathamesh R. Ingole, Niranjan D. Mali, Piyush A. Kedari, Mazain V. Shaikh, Lecturer Rushali P. Wade

Abstract-Concrete is the most considerably used construction accoutrements for erecting technology. But cement product releases high quantities of carbon dioxide (CO2) to the atmosphere that leads to adding the worldwide or global warming. Therefore, another, environmental friendly construction material similar as photocatalyst concrete has been developed. Photocatalytic concrete applies greener indispensable binder, which is a ultramodern- day construction material that replaces the Conventional cement. This technology presented nano patches similar as nano clay into the cement paste in order to ameliorate their mechanical parcels. The concrete accoutrements also have been developed to be performed as tone- drawing construction accoutrements. The tone drawing parcels of the concrete are convinced with the help of photocatalytic accoutrements similar as Titanium Di-oxide (TiO2). Tone- drawing concrete that contains those photocatalytic will be amped by ultraviolet (UV) radiation and quickens the corruption of organic particulates. Therefore, the dinginess of the structure shells can be maintained, and the air girding air pollution can be reduced. This paper briefly reviews about tone- drawing concrete.

Facial Recognition Attendance System Using Python and OpenCv
Authors:-Nikhil Rai, Raj Kumar Tiwari, Vipin Kumar, Assistant Professor Mr. K. Suresh

Abstract-The main purpose of this project is to build a face recognition-based attendance monitoring system for educational institution to enhance and upgrade the current attendance system into more efficient and effective as compared to before. The current old system has a lot of ambiguity that caused inaccurate and inefficient of attendance taking. Many problems arise when the authority is unable to enforce the regulation that exists in the old system. The technology working behind will be the face recognition system. The human face is one of the natural traits that can uniquely identify an individual. Therefore, it is used to trace identity as the possibilities for a face to deviate or being duplicated is low. In this project, face databases will be created to pump data into the recognizer algorithm. Then, during the attendance taking session, faces will be compared against the database to seek for identity. When an individual is identified, its attendance will be taken down automatically saving necessary information into a excel sheet. At the end of the day, the excel sheet containing attendance information regarding all individuals are mailed to the respective faculty.

Cross-Cultural Business Ethics: An Analysis
Authors:-Debjani Sarkar, Dr Amar Latta

Abstract-In the era of globalization where the participation of any business is not limited, where people from different countries, cultures, and societies are actively moving around the world for jobs. The very question that arises is what values or diligence should be adopted by the global companies so that the harmony and the healthy growth of any organization can be achieved. The chapter aims to understand the concept of cross-culture business ethics which starts with an introductory part that includes the need and dimension of business ethics. The influence of transculturation on work ethics will be explained theoretically in this chapter. And also discuss the effect of formal training and education on ethical behaviour among the management students and the employees working for global companies as many businesses who want to broaden their product markets invest heavily in educating their staff about how to connect and interact effectively with people from different cultures. The chapter will objectively examine the various issues and challenges that the Indian corporate and public sectors are facing with the aid of statistical evidence and facts in order to analyse and evaluate the claims about the various aspects of business ethics and cultural differences. At last, what measures and steps that have been taken so far and will be taken by the governing body for the future benefit of the Indian businesses globally that can grow exponentially without compromising the moral and ethical system, will be discussed. A conclusion is drawn about the importance of the presence of ethical practices in the cross-cultural business to run a sustainable business across the world as ethics is not only important in businesses but also in all aspects of life. A company or society without ethical principles is doomed to go down sooner or later.

Fitness Application
Authors:-Aman, Sourabh Swami, Mehir Gupta, Nayyar Jamal, Prof. Mayank Kumar Goyal

Abstract- Over recent times, the world has seen a shaft in the download and operation of fitness and health apps. In 2019 fitness app usage grew at a exponential rate, being the most used category of application for that year. Since then, it has maintained its stoner consumption and continues to grow, with the inclusiveness of wearables bias like Google fit and Fitbit. This is the dawn of a new period, an period where people look further to their mobiles or their fitness watches to check on their health, rather than the traditional system of going and seeing a expert. These apps give a great avenue for those who are interested on tracking their fitness situations runners, cyclists, and spa goers likewise. Everything can be tracked currently; indeed the standard iPhone comes with a health app erected in, with a range of features.

Predicting the Song Popularity Using Machine Learning Algorithm
Authors:-Yasmin Essa, Adnan Usman, Tejasvi Garg, Murari Kumar Singh

Abstract- Being ready to predict popularity of a song supported metadata and attributes are often of great industrial importance. We aim to attain this using machine learning techniques. We use data obtained from Spotify Web API which contains information of over 160,000 songs from 1930 to 2021. We perform the desired pre-processing to check several regressions and classification algorithms supported obtained results; we build ensemble learning models for classification. Models are tuned to present optimal test results. Due to the imbalanced classification, the models are able to predict non-popular songs more easily than popular ones, where there are a high number of false negatives.

A Review on Comprehensive Intellectual Free Vibration Analysis of Composite Derive Shaft
Authors:- Azhar Uddin Sheikh, Dr. Satyendra Sharma

Abstract- Substituting composite structures for conventional metallic structures has many advantages because of higher specific stiffness and strength of composite materials. In the recent days, there is a huge demand for a light weight material such as fiber reinforced polymer composites seems to be a promising solution to this arising demand. These materials have gained attention due to their applications in the field of automotive, aerospace, sports goods, medicines and household appliances. The overall objective of this work is to analyze a composite drive shaft for power transmission. Substituting composite structures for conventional metallic structures has many advantages because of higher specific stiffness and strength of composite materials.

Analysis of Single Stage Vapour Absorption Refrigeration System
Authors:-Anil Kumar Shukla, Mr Vijay Kant Pandey

Abstract- In this study, the first and second law thermodynamic analysis of a single-stage compression-absorption system with ammonia-water as working fluid pair is performed. Thermodynamic properties of each point (the inlet and outlet of each component) in the cycle are calculated using related equations of state. Heat transfer rate of each component in the cycle and some performance parameters (circulation ratio CR, coefficient of performance COP) are calculated from the first law analysis. From the second law analysis, the exergy destruction of each component and the total exergy destruction of all the system components are obtained. Variation of the performance and exergy destruction of the system are examined at various operating conditions. Simulation results are presented in tabular and graphical form. The results of the first and second law analysis of the system, done with the help of a program developed in Engineering Equation Solver software.

Electricity Generation by Using Waste Heat
Authors:-Prof. Akhil Ahemad, Himanshu Atkare, Gagan Dawande, Tushar Ganvir, Gautam Sewte, Pranav Ghode, Dipankar Varma

Abstract- This paper presents the investigation of power generation using the thermo-electric generators. A majority of thermal energy in the industry is dissipated as waste heat to the environment. This waste heat can be utilized further for power generation. The related problems of global warming and dwindling fossil fuel supplies has led to improving the efficiency of any industrial process being a priority. One method to improve the efficiency is to develop methods to utilize waste heat that is usually wasted. Two promising technologies that were found to be useful for this purpose were thermoelectric generators. Therefore, this project involved making a bench type, proof of concept model of power production by thermoelectric generators using simulated hot air. A higher mass flow rate ratio results in a higher amount of heat transfer and higher power output. The proposed system can be used for waste heat recovery from the industry where thermal energy is used in their daily process.

Business Analytics Strategies of Amazon
Authors:-Yash Kumar, Anshul Singh

Abstract- This paper aims to present the Amazon business analytic strategies.Since the objective of the Company is to become the best place to buy,find and discover any product or service available online. Amazon.comwill continue to enhance and broaden its brand, customer base andelectronic commerce expertise with the goal of creating customers’preferred online shopping destination, in the United States and aroundtheworld.Internet became more powerful and basic tool for every person’s needand the way people work. By integrating various online informationmanagement tools using Internet, various innovative companies haveset up systems for taking customer orders, facilitate making ofpayments, customer service, collection of marketing data, and onlinefeedback respectively. These activities have collectively known as e-commerceorInternetcommerce.

Drones for Logistics Operation
Authors:-M.Tech. Scholar Tanuja Muthyala, M.Tech. Scholar M. Laxmikanth Reddy

Abstract- A drone is a flying robotic that may be remotely managed or fly autonomously using software- controlled flight plans in its embedded structures, that paintings together with on board sensors and a global positioning machine. Drones can move locations that people can not get admission to, so they may be a really perfect answer for risky seek and rescue efforts, as well as for turning in emergency elements to far off places and disaster regions. Whether or not you name them Unmanned Aerial motors, Miniature Pilot less plane, or Flying Mini Robots, drones are rapidly growing in reputation. They’re nevertheless in the infancy degree in phrases of mass adoption and utilization however drones have already broken via rigid traditional obstacles in industries which in any other case appeared impenetrable through comparable technological innovations. Unmanned Aerial vehicles have obtained interest inside the last decade because of their low price, small size, and programmable features. increasing work performance and productiveness, lowering workload and production fees, improving accuracy, refining carrier, and purchaser members of the family, and resolving protection issues on a full-size scale are most of the pinnacle makes use of drones provide industries globally. The adoption of drone technology throughout industries leaped from the fashion stage to the mega-fashion level fairly speedy as greater groups started out to comprehend its capability, scope, and scale of worldwide reach. Drone transport is one of the most promising packages to deliver applications efficiently. UAVs that fly independently primarily based on pre-programmed flight plans or greater complicated dynamic automation systems are advanced for passenger transportation and may be advanced for turning in vital groceries. Given the growing needs of the users, however additionally the growing opposition in the field of logistic techniques and widespread deliver chains, it’s miles essential to enhance the current abilities through making use of cutting-edge technologies consisting of expert systems, which encompass UAVs.

A Tuberculosis (TB) Detection Using Convolution Neural Network
Authors:-G.Sathish, E. Dhakshanaa, S.Suratha Supervisor: Mr.R.P.Vijai Ganesh

Abstract- Tuberculosis, a highly contagious lung disease, is the leading cause of worldwide death followed by malaria and HIV/AIDS. The World Health Organization alludes that more than 95% of TB patients live in developing countries that lack adequate healthcare funding and supporting medical infrastructure. In descending order, two-thirds or 67% of newly TB-infected cases occur in eight developing nations beginning with India, followed by China, Indonesia, the Philippines, Pakistan, Nigeria, Bangladesh (formerly, East Bengal of British India), and South Africa. Timeliness in TB diagnosis is critical when mitigating its spread, improving TB preventive efforts and/or minimizing the TB death rate. With advances in deep learning, the convolutional neural networks (CNNs) have consistently surpassed other traditional recognition algorithms in achieving superordinate performance for image-based classification and recognition problems. This project is to detect Pulmonary Tuberculosis based on the patient chest X-ray images using Densenet and Resnet models.

Survey on Dairy Livestock Disease Prediction System
Authors:-Prof. A.V. Brahmane, Purva Dekate, Gayatri Dike, Sneha Musmade, Rutuja Shinde

Abstract- Background: This dissertation aims in developing a expert systems for dairy farmers, which can predict livestock diseases and suggest nearby veterinarian. Methods: The main purpose of the planned system is to present a livestock disease prediction model for the prediction of occurrence of different disease. For this purpose, machine learning algorithm is used. This system takes the symptoms as input and predicts the disease by using Machine Learning algorithm. For prediction of the disease, we have used non- parametric decision tree algorithm and application programming Interface (API) for nearby veterinarian. Findings: At present, when livestock suffers from particular disease, then the doctor has to visit which is time consuming and costly too. Also, if the doctor is out of reach it may be difficult for the farmer as the disease cannot be identified. So, if the above process can be completed using an automated program which can save time and treat the diseases in time, reduce the losses of cattle effectively.

Face Mask Detection with Attendance System
Authors:-B. Gokulakannan,J.Navya,T.Rubavagini,Mr.T.Kanagasabapathy(Supervisor)

Abstract- Covid19 disease is the latest epidemic that forced an international health emergency. It spreads mainly from personto person through airborne transmission. Community transmission has raised the number of cases over the world. Manycountries have imposed compulsory face mask policies in public residencies as a preventive action. Manual observation of theface mask in crowded places is a tedious task. However, some people still do not wear masks in public areas, which might leadto infection of themselves or others. Therefore, automatic detection of the wearing of face masks may help global society, butresearch related to this is limited. Various machine learning based methods have been applied in health care to assist thedetection of COVID-19 cases from medical images. One issue that limits machine learning methods for detecting COVID-19cases is the lack of data. In this paper, we propose a Mask-RCNN which is able to detect face masks accurately and warn themto wear face mask.Mask-RCCN use two novel methods to achieve this. First, to detect mask region from the face using RPNand to extract rich context features and focus on crucial face mask related regions, we propose a novel residual contextattention module (RCAM). Second, to learn more discriminating features for faces with and without masks. This technique iscapable of recognizing masked and unmasked faces to help monitor safety breaches, facilitate the use of face masks, andmaintaina secureworking atmosphere.

Air Canvas: Drawing in Air using AI
Authors:-Prof. Hemlata A. Shinde, Shravani M. Jagtap, Anushka A.Kalpund, Pranita B. More, Ayushi A. Parkale

Abstract- Drawing in Air has been one of the most fascinating and interesting research areas in the field of visual pattern recognition. Here, visual pattern recognition means to recognize movement of finger tips. It improves the interaction between man and computer in various applications. This idea will help in achieving the naturalness desired for Human Computer Interaction (HCI). Proposed method have two main tasks: first it tracks the fingers tip and second it plots the co-ordinates of finger-tipon the screen in any desired colour. It does not require any keypad, pen or glove rather than a camera. This idea of Air Canvas is beyond the traditional empty (white), rectangular and flat-dimensional canvas seen in traditional artworks. We are applying the techniques of computer vision in OpenCV to build this project. To achieve the goal of this project, the finger-tip tracking and detection process are used. Air canvas refers to virtually drawing through hand gesture on the air without touching anything which is recommended during COVID-19. This project will be a powerful means of communication for the deaf, specially-abled, senior citizens and children’s for educational purposes.

Bridge Deck Analysis through Grillage Method
Authors:-M.Tech Scholar Sunil Kumar, Prof. Rashmi Sakalle

Abstract- Various methods have been developed for structural analyses of bridge decks. Their differences are mainly in the idealization of structural behaviour of bridges with mathematical related models. The selection of bridge modelling approach depends on many parameters including deck characteristics, the required accuracy, and the available modelling tools such as computing software. Therefore, in this study, bridge deck analysis through grillage method has been done.

Introduction to Artificial Intelligence and Problem Solving
Authors:-Kartik Sharma, Yash Bhargav

Abstract- Artificial intelligence is the field devoted to building artifacts capable of displaying in the controller, a well-understood environment, and over a sustained period behavior that they consider being intelligent or more generally, behavior that we take to be at the heart of what it have to a mind. In this paper we discuss about one of the upcoming fields in artificial intelligence and problems solving which is automatic speech recognition from neural signals.

A Panorama of Machine Learning Algorithms
Authors:-Taunk Mayur G

Abstract- Machine learning (ML) is a subset of artificial intelligence that empowers systems to learn from data without explicit programming. By employing statistical models and algorithms, ML enables computers to identify patterns, make predictions, and automate decision-making processes. This versatile field finds applications across numerous domains, from recommendation systems to medical diagnostics. This paper delves into the core methodologies of ML, including supervised, unsupervised, and reinforcement learning, to elucidate their principles and applications, with a particular focus on supervised learning algorithms.

DOI: 10.61137/ijsret.vol.8.issue2.194

Question Answering for Low Resource Languages Using Natural Language Processing
Authors:-Nirav A. Baldha

Abstract- Recent advancements in Question Answering (QA) systems have significantly improved their performance, predominantly benefiting high-resource languages. However, low-resource languages, which lack extensive linguistic resources and data, face substantial challenges in developing effective QA systems. This paper provides an in-depth review of methodologies and advancements in QA systems for low-resource languages using Natural Language Processing (NLP) techniques. We discuss various approaches, including transfer learning, multilingual models, and cross-lingual embeddings. Additionally, we highlight case studies and experimental results, aiming to offer a comprehensive overview and suggest future research directions.

DOI: 10.61137/ijsret.vol.8.issue2.207

Deep Learning Algorithms for Crop Analysis by Agricultural Experts to Enhance Crop Management and Health
Authors:-Dr.C.Saravanabhavan, Janesh M, Kathirvel T, Dhivagar R

Abstract- In India, agriculture is an essential industry that makes a substantial economic contribution. However, most of conventional crop monitoring techniques are still done by hand, which makes the procedure time-consuming and ineffective. On the other hand, wealthy countries adopt cutting-edge technologies to increase the productivity of crops and enhance resource utilization. We suggest an integrated strategy for crop health monitoring that makes use of aerial drones, IoT, machine learning, and deep learning in order to close this gap. Several sensory modalities are used in our approach for generating varied information with different accuracy in space, temporal fidelity, and character. While drone-based multispectral imagery collects precise information to create vegetation indices like the Normalized Difference Vegetation Index (NDVI), which calculates crop health based on chlorophyll content, IoT sensors provide real-time environmental data that influences crop development.To obtain a comprehensive analysis, variable-length time-series data from IoT sensors and multispectral images were converted into a fixed-sized representation to generate crop health maps. Several machine learning and deep learning models were applied, with a deep neural network (DNN) with two hidden layers achieving the highest accuracy of 98.4%. Due to the absence of reference data, the health maps were validated through ground surveys and expert evaluations. This technology-driven solution enhances real-time decision-making, optimizing large-scale agriculture in India.

DOI: 10.61137/ijsret.vol.8.issue2.296

Supervisory Control and Monitoring of IoT Enabled Paddy Cultivation
Authors:-Dr.R. Shankar, S. Karthika, M.Suwathy, J.Vidhya

Abstract- The Internet of Things (IOT) is changing agriculture in which farmers enable a wide range of techniques. The IOT technology helps to collect information about conditions such as climate, humidity, temperature, soil fertility, water level, pest detection, animal penetration in the field, and crop growth. Sensor networks are used to monitor the terms of the farm, and the ESP32-CAM is used for controlling and automating the processes of the farm and combining all the information into the cloud. To monitor the cultivated field in the form of images and videos with wireless cameras from a far. Image processing techniques are used to protect the field from birds and animals by creating noises when they are recognized in the rice field. IOT technology can reduce the maintenance costs and improve the productivity of traditional agriculture.

DOI: 10.61137/ijsret.vol.8.issue2.297

Development of Paver Block from Textile Dye Waste
Authors:-M.P. Iniya, K.Dhanush, G.Jagan

Abstract- Textile sludge management is a huge problem for its disposal from the textile industry. It has tremendous applications, such as walking paths, street road, and fuel stations, etc. In this manner, an innovative step has been towards the manufacture of paver blocks blended with textile effluent treatment plant sludge to use of it in reasonable extends. A different percentage of sludge starts from 50% to 100% to be taken for this study for the effective utilization of sludge to the construction industry. This thinks about looked for to experience the potential use of as a binding fabric for paving blocks generation. Conventional paver block is cast with full replacement of sand by using M-sand as fine aggregate. Paver blocks consist of textile waste in addition to distinctive proportions was casted according to the recommendation of Indian Standards (IS) 15658 (2006), also the various results were obtained through experimentally and it was compared to the conventional paver block. The different mix combinations outcome reveals that 50% of fine aggregate replacement by effective utilization of textile sludge and waste water from the textile industry. The density and compressive strength of paver blocks were decreased with increase in the percentage of textile sludge and water absorption capacity was increased.

DOI: 10.61137/ijsret.vol.8.issue2.298

Implementation and Analysis of Secure Packet Transfer in Blood System Management

Authors:-Assistant Professor Dr.Pon Partheeban, Amsha J, Lakshmi Prabha K

Abstract-Blood transfusion safety is a relevant and significant public health issue. Since most blood banks are still in paper- based system, various disadvantages are experienced by various stakeholders, which endanger the lives of patients and deter the healthcare system. As such, the researchers aimed to design, develop, and implement an online blood donation system (OBDS). This web-based application allows hospitals to make inventories of their blood bags online, subsequently, allowing each hospital to check the availability of blood bags anytime. The researchers designed and administered a questionnaire that assesses the perceptions of various stakeholders in both manuals based and OBDS. Based on the findings and results, it was found out that these stakeholders perceived online blood donation system is much better than the manual system. Therefore, with the use of online blood donation system, blood transfusion process is safe and secured. Threats on improper blood donor documentation or misplaced records will be totally eradicated. Also, processes involving recording about blood donors, blood bag collection, storage, and inventory will be systematized and organized, hence, improving the healthcare management for blood banks.

DOI: 10.61137/ijsret.vol.8.issue2.299

Behavior Based Credit Card Fraud Detection Using Deep Learning Techniques

Authors:-Assistant Professor Ms.J.Sunanthini, Antries Preeshma A ,Arockiya Shaakila T ,Shacksia Brinda Mol J .

Abstract-Most companies and institutions now tend to move their business toward online services due to the rapid increase of using modern technology in all fields. The rise of digital payments systems such as google Pay, Phone Pay, and Paytm has meant that loss due to fraudulent activity is expected to increase. Deep Learning presents a promising solution to the problem of credit card fraud detection by enabling institutions to make optimal use of their historic customer data as well as real-time transaction details that are recorded at the time of the transaction. To ensure the safety of users for these credit cards, the credit card’s provider should provide a service to protect users from any risk they may face. Consequently, we present our approach to predict legitimate or fraud transactions. In this paper, we evaluate a subsection of Deep Learning topologies – from the general artificial neural network to topologies with built-in time and memory components such as Long Short- term memory – and different parameters with regard to their efficacy in fraud detection on a dataset of nearly 80 million credit card transactions that have been pre-labeled as fraudulent and legitimate. We also present a framework for parameter tuning of Deep Learning topologies for credit card fraud detection to enable financial institutions to reduce losses by preventing fraudulent activity.

DOI: 10.61137/ijsret.vol.8.issue2.300

GPS Vehicle Tracker for Monitoring and Controlling The Engine
Authors:-Dr. F. R. Shiny Malar, Anusika.Ms, Evangelin Jeronnah.F.J, Marcelin K.

Abstract-Vehicle theft has become an increasingly preva- lent concern, necessitating advanced security solutions for two- wheeled vehicles. This study presents an innovative Anti-Theft Vehicle Security System that leverages Global Positioning Sys- tem (GPS) technology and an open-source platform to provide comprehensive vehicle tracking, monitoring, and remote control capabilities. The proposed system integrates a sophisticated tracking mechanism with a unique locking mode, enabling real- time vehicle location tracking and remote engine immobiliza- tion.The system’s architecture comprises a GPS-enabled device interfaced with the vehicle’s battery and ignition system, allowing precise location tracking and remote engine control through a smartphone application. When theft is detected, the system can immediately disable the vehicle’s engine via a relay switch, preventing unauthorized movement. Additionally, the device implements a password-protected restart mechanism, adding an extra layer of security. A custom-developed program facilitates exact vehicle position- ing and navigation tracking using Google Map services, providing users with real-time location information and movement history. The proposed solution addresses the critical need for enhanced vehicle security by offering a comprehensive, technologically advanced approach to theft prevention and vehicle monitoring.

DOI: 10.61137/ijsret.vol.8.issue2.301

AI-Powered Smart Glasses for The Blind And Visually Impaired
Authors:-Assistant Professor Mrs.A.Aldo Tenis, Manju.T, Sowmiya.R, Nimmy S.

Abstract-Vision is one of the most important human senses, and it plays a critical role inunderstanding the surrounding environment. However, millions of people in the world are experiencing visual impairment. They are facing difficulties in their daily navigations since they cannot see the obstacles in their surroundings and also recognizing a person is one of the major problems faced by them. There are many applications other than automation that use object detection but are not explored in depth till date. This project involves one such application that uses detection to help the visually impaired to identify the objects ahead of them for safe navigationand also proposes a face recognition system with auditory output which can be beneficial for visually challenged people in recognizing known and unknown persons. Voice-based aid would be provided to them through speakers. In this project, we applied deep learning based Faster Region-Convolutional Neural Network (Faster R-CNN), to detect and recognise human and objects in surroundings.The image aptured by the camera is processed and classified by the Faster Region Convolution Neural Network algorithm. The identified image is given as an audio input to the audio jockey.Thus, this model helps in assisting the visually impaired people in a more comfortable way than white canes.

DOI: 10.61137/ijsret.vol.8.issue2.302

Stock Price Prediction Using Machine Learning
Authors:-Associate Professor Dr.F.R.Shiny Malar, Ashik Cristo Mourin.M, Antony George.T ,Sahaya Anish Sujith.

Abstract-Prediction of stock prices is one of the most re- searched topics and gathers interest from people and the industry alike. With the emergence of Artificial Intelligence and Machine Learning various algorithms have been applied in order to predict the equity market movement. The combined application of statistics and machine learning algorithms have been designed either for predicting the opening price of the stock the very next day or understanding the long term market in the future. This paper explores the different techniques that are used in the prediction of share prices from traditional machine learning and deep learning methods to neural networks and graph- based approaches. It draws a detailed analysis of the techniques employed in predicting the stock prices as well as explores the challenges entailed along with the future scope of work in the domain.

DOI: 10.61137/ijsret.vol.8.issue2.303

Published by: vikaspatanker

Development of Paver Block from Textile Dye Waste
Authors:-M.P. Iniya, K.Dhanush, G.Jagan

Abstract- Textile sludge management is a huge problem for its disposal from the textile industry. It has tremendous applications, such as walking paths, street road, and fuel stations, etc. In this manner, an innovative step has been towards the manufacture of paver blocks blended with textile effluent treatment plant sludge to use of it in reasonable extends. A different percentage of sludge starts from 50% to 100% to be taken for this study for the effective utilization of sludge to the construction industry. This thinks about looked for to experience the potential use of as a binding fabric for paving blocks generation. Conventional paver block is cast with full replacement of sand by using M-sand as fine aggregate. Paver blocks consist of textile waste in addition to distinctive proportions was casted according to the recommendation of Indian Standards (IS) 15658 (2006), also the various results were obtained through experimentally and it was compared to the conventional paver block. The different mix combinations outcome reveals that 50% of fine aggregate replacement by effective utilization of textile sludge and waste water from the textile industry. The density and compressive strength of paver blocks were decreased with increase in the percentage of textile sludge and water absorption capacity was increased.

DOI: 10.61137/ijsret.vol.8.issue2.298

Published by: Kajal Tripathi

Supervisory Control and Monitoring of IoT Enabled Paddy Cultivation
Authors:-Dr.R. Shankar, S. Karthika, M.Suwathy, J.Vidhya

Abstract- The Internet of Things (IOT) is changing agriculture in which farmers enable a wide range of techniques. The IOT technology helps to collect information about conditions such as climate, humidity, temperature, soil fertility, water level, pest detection, animal penetration in the field, and crop growth. Sensor networks are used to monitor the terms of the farm, and the ESP32-CAM is used for controlling and automating the processes of the farm and combining all the information into the cloud. To monitor the cultivated field in the form of images and videos with wireless cameras from a far. Image processing techniques are used to protect the field from birds and animals by creating noises when they are recognized in the rice field. IOT technology can reduce the maintenance costs and improve the productivity of traditional agriculture.

DOI: 10.61137/ijsret.vol.8.issue2.297

Published by: Kajal Tripathi

Deep Learning Algorithms for Crop Analysis by Agricultural Experts to Enhance Crop Management and Health
Authors:-Dr.C.Saravanabhavan, Janesh M, Kathirvel T, Dhivagar R

Abstract- In India, agriculture is an essential industry that makes a substantial economic contribution. However, most of conventional crop monitoring techniques are still done by hand, which makes the procedure time-consuming and ineffective. On the other hand, wealthy countries adopt cutting-edge technologies to increase the productivity of crops and enhance resource utilization. We suggest an integrated strategy for crop health monitoring that makes use of aerial drones, IoT, machine learning, and deep learning in order to close this gap. Several sensory modalities are used in our approach for generating varied information with different accuracy in space, temporal fidelity, and character. While drone-based multispectral imagery collects precise information to create vegetation indices like the Normalized Difference Vegetation Index (NDVI), which calculates crop health based on chlorophyll content, IoT sensors provide real-time environmental data that influences crop development.To obtain a comprehensive analysis, variable-length time-series data from IoT sensors and multispectral images were converted into a fixed-sized representation to generate crop health maps. Several machine learning and deep learning models were applied, with a deep neural network (DNN) with two hidden layers achieving the highest accuracy of 98.4%. Due to the absence of reference data, the health maps were validated through ground surveys and expert evaluations. This technology-driven solution enhances real-time decision-making, optimizing large-scale agriculture in India.

DOI: 10.61137/ijsret.vol.8.issue2.296

Published by: Kajal Tripathi

Authors: Lhamo Yangchen
Abstract: The integration of artificial intelligence agents into enterprise environments such as Salesforce has transformed customer relationship management, operational efficiency, and workforce productivity. However, the ascendancy of AI agents brings with it profound ethical considerations that demand deliberate design and vigilant oversight. This article explores the foundational principles and practical guidelines for the ethical design of AI agents within Salesforce ecosystems, emphasizing trust, fairness, transparency, and inclusivity. Ethical design in this context is not merely about avoiding bias or protecting data; it is about embedding responsibility and human-centric values into every stage of AI development and deployment. Salesforce’s approach to AI ethics is proactive, integrating ethical guidelines from the outset and maintaining a steadfast commitment to safeguarding human rights, ensuring data privacy, and fostering inclusivity. The company’s Office of Ethical & Humane Use plays a pivotal role in guiding both internal and external stakeholders through best practices, frameworks, and policies that ensure AI agents are trustworthy, safe, and accessible to all. This article highlights into the challenges of mitigating bias, toxicity, and harmful outputs, and highlights the importance of transparency in disclosing AI involvement to users. It examines the necessity of keeping humans at the helm, ensuring that AI agents augment rather than replace human judgment, and discusses the critical role of feedback mechanisms in continuous improvement. By addressing these ethical dimensions, organizations can harness the full potential of AI agents while maintaining public trust and compliance with evolving regulations. The article also considers the broader implications of agentic AI on labor, customer experience, and societal norms, providing actionable insights for organizations seeking to navigate this complex landscape. Ultimately, the ethical design of AI agents in Salesforce environments is a dynamic, multifaceted endeavor that requires ongoing dialogue, interdisciplinary collaboration, and a commitment to responsible innovation.

 

 

Published by: vikaspatanker

Scholars doing research in computation-related topics always need journals that work in the field of mathematics but these days most of computer related journals also accept papers for publication. So the search of the international journal of applied mathematics and computer science is common for all researchers who are solving issues related to computation, pattern finding, clustering, prediction, outlier detection, etc. Many of machine learning is directly dependent on mathematics that can train a variable, hence in both fields many of the research topics and work is similar to explore and publish. Scholars need good publication hence journals having good indexing takes a long time to make a decision for accept or reject status. This article helps people to introduce many of filters for mathematics and computer science journal that are good points in the journal ranking.

Submit Paper Now

Review Article Processing Charges

1. Always select Electronic Journal having E-ISSN number that can be cross-checked by Portal of ISSN as well.
2. Further published papers in the volume issue should match research areas that have a mathematics and computer field.
3. It should also be checked that editorial board members have qualifications that might relate to field of maths, science.
4. As mathematics is a wide area of research hence many of people from other fields publish papers, so it might possible that people’s profile are from different departments.
5. International Journal of computational science and engineering accepts papers from science, maths scholars as well.
6. It might possible that the journal has a publication charge, so before submission do crosscheck such an important point.
7. At last, scholars read for publication time as well, many times such time is tough to wait, as many of journals take months to review and publish content.

A scholar having a good set of publications can submit a paper having a high impact factor and nice indexing, but scholars having less experience or just beginning their research journal start from fast publication journals can publish content in short duration within a week or two. Its a request that always keep your mentor in the publishing loop mails so the mentor is always aware of the status of publication and other important steps. In order to increase the chance of selection or acceptance for paper publication elaborate the proposed model by mathematical equation and do explain all set of variables with use, range, meaning, etc. This help reviewer to understand the concept of your paper and model.

Published by: vikaspatanker

Enhancing Diabetes Mellitus Prediction with Machine Learning Techniques
Authors:- Mrs. S. Sangeetha, P Kowsika, M Swathihasree, K.Shalini, K.Kokila Lakshmi

Abstract- Diabetes is a chronic metabolic condition that affects millions of individuals globally and can have serious long-term health effects if left untreated. Diabetes is a fast growing worldwide health issue that needs to be identified early and managed well to avoid serious consequences. Conventional diagnosis techniques depend on intrusive blood testing and clinical assessments, which can be costly, time-consuming, and unavailable to many. In order to identify at-risk individuals in a non-invasive, economical, and real-time manner, this project intends to create an AI-driven diabetes prediction system utilizing machine learning techniques. The technology improves patient outcomes and lowers the risk of complications by utilizing predictive algorithms to enable early diagnosis. Due to a lack of early symptoms or restricted access to medical facilities, many people go untreated. By providing automated, data-driven predictions that help patients and medical professionals assess risk, machine learning algorithms can close this gap. This device can revolutionize diabetes screening and enable people to take preventative action before the disease progresses.

DOI: 10.61137/ijsret.vol.8.issue1.198

Published by: Kajal Tripathi

Authors: Tuguldur Enkhbat

Abstract: The rapid advancement of artificial intelligence has dramatically reshaped customer service operations, with Copilot AI agents emerging as pivotal tools in automating and enhancing customer experience. This article explores the multifaceted impact of Copilot AI agents on customer experience automation, analyzing their integration into support workflows, the measurable benefits for both agents and customers, and the challenges encountered in real-world deployments. Through a synthesis of industry case studies, operational insights, and forward-looking trends, the article provides a holistic view of how Copilot AI agents are transforming customer service from a reactive, manual process into a proactive, data-driven, and highly personalized journey. Key themes include improvements in first contact resolution, agent productivity, and customer satisfaction, alongside the complexities of measuring ROI, ensuring data security, and fostering agent trust. The article also examines the evolving capabilities of Copilot AI agents, such as sentiment analysis, real-time assistance, and predictive analytics, which collectively drive more meaningful and efficient customer interactions. By bridging the gap between technology and human expertise, Copilot AI agents not only streamline operations but also empower organizations to deliver consistently superior customer experiences. The findings underscore the importance of continuous learning, feedback loops, and ethical considerations in the ongoing development and deployment of these intelligent systems.

 

 

Published by: vikaspatanker

The value of any Implementation of a project or model depends on its acceptance from an international organization. This international organization is a community of people who do a similar set of work in the same research field. So International journals for publishing a research paper is the final task of a Doctorate or master’s student to prove that his work is recognized and accepted by other people. Such international organizations is increasing with a great number hence selection of good site need good experience, but young scholar needs guidance for the same task. This article help such scholars to have a better understanding of journals their working, etc. Such as let’s talk about journals:

Submit Paper Now

Review Article Processing Charges

1. Journals are of two types Print / Electronic, I suggest going with electronic journals only.
2. Journal review papers adopt a few techniques like one side blind, two side blind, etc. One side blind is enough as this reduces communication cost and review time get reduces.
3. Journal may take the amount for publishing a paper. This is not negative as these are unfunded organizations that need some money to manage paper, website, reviewer, etc.
4. Journal have indexing at least ISSN portal should have information about the journal.
5. Journal provides digital certificates to the author after publication.

Steps of Publication of research paper (Working)

In order to publish research, the scholar has to prepare a full-strength paper as per the research area. It is desired that the author submit a paper in journal format, for that web portal provide paper template/ paper format. Journal provide submission form for the same to get information in specific format this form normally have fields of authors, affiliation, country, paper title, keywords, abstract and paper uploading button. Once the paper gets submitted the author get a paper submission email. If the paper is accepted by the editor then the author wait for a few days as a review period time. In review period time reviewer read paper and submit a comment to the editor. As per reviewers comments, editor accept or reject the paper. If the paper get accepted then acceptance email is send to the author and some suggestion about the paper is also brief (If need). Once the author submits an updated paper cpy with copyright form then the paper gets processed for the final publication. Once the paper get ready and publish on the site then the journal provide a live link of the paper for publication. The author can add that link to his profile as a publication.

Published by: vikaspatanker

Analysis of students’ critical thinking skills using Data Mining approaches (Survey based research)
Authors:- Dr. M. Pushpalatha (Prof. And HOD), Raya Bandyopadhyay

Abstract- Our aim in this project, will be to identify Key Performance Indexes that can define a student’s level of comprehension after studying certain classes and how we can apply those Key Performance Indexes in classification or even use them to calculate the success rate of skills, in universities or even place specific students in areas where they can succeed. We can also analyse which data mining algorithm gives us the highest accuracy based on our data and, address some of the open problems we may encounter as we go along, based on existing research literature. Understanding the learner’s in-depth thinking process after a lesson or series of lessons, will give us more information about where the student is lacking or whether the skills are lacking, in the event that most students seem to lack a certain pattern. This shall enable more fluid methods for students and academics to be classified into a system, we can categorize them based on class performances or regular assignments, and find a system which shall give us an understanding about the grasp of a particular student in a certain subject and eventually, the group of students performing well in certain subjects can be placed in opportunities which shall enhance their skill sets and help them pick a customized career for them. The use of multi-phase analysis and cluster analysis is intended to be based on data on which Key Performance Indexes will be determined at the end. Based on these determining Key Performance Indexes, we can access important information and, if possible, present it on a working dashboard.

A Survey on Genetic Programming and its Applications
Authors:- Shivam Kumar, Asst. Prof. Dr. Charu Jain

Abstract- Genetic programming comes from the Genetic calculation that can consequently tackle issues without making the client know or indicate the structure or construction of the arrangement ahead of time. Genetic writing computer programs is a programmed space-free technique for taking care of issues. Beginning with many arbitrarily made PC programs, it applies the Neo-Darwinian guideline of regular choice, recombination (hybrid), transformation, quality duplication, quality erasure, and certain instruments of formative science. It consequently breeds a better populace over numerous ages. Genetic programming begins from an undeniable level assertion of an issue’s necessities and endeavors to create a PC program that takes care of the issue. Also, it looks very similar to Genetic calculations (Ga’s).

Structural Analysis of RCC Building Structure with Variations of Its Types by Using STAAD-PRO
Authors:- Research Scholar Prasun Bagdi, Asst. Prof. Dharmendra Kurmi

Abstract- The latest trend in high rise building is diagrid structures because of structural and architectural effectiveness. In the studyprevious literatures are studied for Flat-slab Building and detailed analysis is carried out to check the behaviour of flat-slab buildings withand without diagrid.It is very crucial that the chosen structural system is such that the structural components are used efficiently while meeting design criteria. Due to its structural effectiveness and flexible in architectural planning, recently diagrid structural system is implemented in tall buildings. In this research, comparison assessment and layout of 12-story structural system construction and simple frame construction are provided here. A regular floor plan of 18m x 18m size is considered. STAAD Pro software is used for modelling and analysis of structure. Analysis results like displacement, storey drift, storey shear is presented here. We compare two types of the RCC building structure with each other i.e. regular building structure with diagrid building structure so we optimize the deflections and maximum possible height of building in both designs.

Teachers’ Satisfaction Regarding Human Resource Management Practices in Kitwe District
Authors:- Edgar P.C Mwansa, Prof. Sumbye Kapena

Abstract- The study aimed to investigate the satisfaction of teachers regarding human resource management practices in terms of appraisal, planning, training and development and compensation practices. It was descriptive and a cross-sectional survey design was used to carry out this study with teachers working in Kitwe district on the Copperbelt Province of Zambia. A proportionate stratified sampling technique was employed to select a sample of 100 teachers from the district. The results showed that the mean score of teachers regarding human resource management practices of appraisal was higher as compared to, compensation, planning and training practices. This indicated that the teachers in the district were more satisfied with appraisal practices. Furthermore, to find the difference in teachers’ satisfaction regarding human resource management practices based on their Gender, an Independent sample t-test was used. At t-value (0.891) and significance level at p≤0.05. A significant difference was observed in the scores of female and male teachers. Male teachers appeared to be more satisfied with human resource management practices in the district than female teachers. Lastly, the results showed that teachers’ appraisal, training and development, planning and compensation practices strongly correlated with their job satisfaction.

Stability of Grid With The Penetration of Solar PV Based Generation In Power Plant
Authors:- Manish Kumar, Mantu Kumar, Devbrat Kumar

Abstract- This is a well-known fact that the world is facing climatic risk from the emission of power generating plants. Thermal power plant is causing mercury pollution which is very dangerous to human health as it affects the neural system. In light of such ugly facts now all the developed countries are changing their focus on renewable source of energy for sustainable and emission free power. we are considerably High PV dispersion levels can occupy the steady state and the transient stability of the systems outstanding to their various description. that differ from conventional generation property. We are consider an important amount of conservative generation With high PV generation may be replaced with increase PV property. A much needed renewable source with zero emission has got sufficiently large possible of energy which can be harness by using a number of devices available.Synchronized manage of the included power system is fruitfully done with the THD mechanism within universal of parameters.

Review and Applications of Newton’s laws on day to day life
Authors:- RutujaTelange, Rupali Kharat, Arati Theng, Nida Khan, Dr. D. Y. Patil

Abstract- This study has been undertaken to summarize the reviews and applications of Newton’s laws of motion in day to day life. Also uses of the law in various activities is been explained.

Exoskeleton Arm for Rehabilitation and Activity Assistance
Authors:- Krishna Wankhade, Pranita Yadav, Utpala Dhamdhere, Varad Ghatake, Prof. Vikram Kulkarni

Abstract- Upper extremity disorder ( UED) is a major problem in society. A systematic review, published in 2006, reported a prevalence of upper limb disorders that ranged between 2% and 53% in different populations, with higher rates in students and working individuals, often a quite common complication after stroke affecting approximately 85% of survivors. Impaired upper extremity function limits the performance of activities of daily living (ADLs) and decreases social participation. Novel therapeutic techniques have been introduced to promote upper extremity function but due to lack of therapist professionals and assistive devices not everyone has access to these facilities, nor are these facilities accessible round the clock to help the user with their needs. As a result, there is a significant gap between required and available health services. The objective of this project is directed at developing a novel type of powered exoskeleton to facilitate easy movement of the arm of an upper limb mobility-disabled individual and enabling them to work at their own efficiency involving daily chores. The developed product will be designed to address some common recurring problems which are still unanssture control option for repeated exercises of rehabilitation, and the capability to aid in various activities of daily life.

Control Strategy of Diode Clamped 3 Level Inverter With PV System as Separate DC Source
Authors:- Mantu Kumar, Devbrat Kumar, Manish Kumar

Abstract- In the recent year, every day utility has been increased which causes the increase in power demand. In case of conventional power sources, they are using fossil fuels and other resources, which contribute to fly ashes, CO2 gas emissions, which cause global warming. These resources will be affected by the negative impact of the alternation of alternating shale. Recently India is facing coal shortage. To improve and reduce the dependency of the crisis of fossil fuels, researchers has come up with an interest in research to usage of non-conventional sources. In the last few decades non-conventional energy sources became a great alternative of conventional sources like fossils fuels, and researchers has focused on latest energy production alternatives like solar, wind, hydel and geothermal energy sources and continuously developing ecological environment for creating new sustainable natural resources.In fact, the power transmission system is the source of power supply in AC and all loads (appliances / machinery). Most of them need A.C power from source as an important source of their energy. The main requirement of energy is in form of AC, so we use Inverter as conversion instrument (DC to AC). Basic inverters are facilitated and limited up to 2- level only. Due to efficient and bulky requirement by industrial supply,2-level inverters are unable to full-fill the requirement. Due to the efficiency and such limitations of 2-level inverter, huge power inverter (multi-level) are used which are capable for providing high energy at high efficiency loads to and also repeal the limitations of basic 2-level inverter. Multilevel inverter uses n levels to provide effective and efficient power quality and power demands, very less losses at time of switching (since they uses electronic element), very high voltages stability, a wide voltage control range rather than conventional 2-level inverter. It also provide power at reduced harmonics. The main trump card of using multi-level inverters (MLI) is “it produces less harmonics disturbance and also reduces losses due to switching at time of operations”. Multi-level inverters are able to handle high power load in comparision to 2-level inverter with guaranteed no affect on the output of multi-level voltages. Multi-level topologies are available in wide range, but the well-knownand widely used are of following types: – 1. Cascade H-bridge Multi level Inverter (CHMI):- • It utilises series connections ofan N-bridges (multilevel) inverters. 2. Diode Clamped Multilevel inverter (DCMI):- • It uses an [2*{N-1}] semi-conductor switches for n-level inverter circuit. • It also uses a series connection of capacitor parallel to the dc bus which is clamped bythe diode. 3. Flying Capacitor Multilevel Inverter (FCMI):- • Capacitor is usedinstead of clamping Diode. NOTE:- Multi-level inverters uses many numbers of semi-conductor switches which is disadvantage of the multi-level inverters over 2 level inverter.

Designing of a Dual-Band MIMO Antenna for 5g Smart Phone Applications
Authors:- Harshit Kumar Shakya

Abstract- A dual band MIMO antenna is used for the 5G connectivity for smart phones. The antenna built is different from conventional 5G antenna. The antenna is perpendicular to the edge of the circuit board of the device it can be applied to the famous full screen cell phone. According to the simulation tests, the module’s reflection coefficient is less than 6 db, and the insulation is higher than 12 db over the 3300-3600 MHz and 4800-5000 MHz frequencies which satisfy the needs of future 5G applications. The design of printed slot antenna is available for low cost FR-4 material. The proposed antenna consist of four for smart phone antennas operating at two frequencies setups to access for lower frequencies upto 3300 to 3600 MHz and for higher frequencies access upto 4800 to 5000 MHz.Similarly we can use this antenna setup for gps and wimax we can replace it by this antenna. The design of antenna is quite peculiar as it is mounted normally through the base of the PCB making which is easier to be applied in smart phones for 5G communications. The dielectric material FR-4 with relative permittivity of 4.4 and loss tangent (d) 0.02 was used as a substrate material for the design of the antenna proposed. The thickness of the substrate material is 1.6mm which is used to construct the antenna due to lossy properties. The technique of microstrip line feeling with patch insertion was used to feed the power to the antenna with a suitable impedance match of 50.This means full power can be transferred. The MIMO dual- band antenna for smart phones with parameters shows different tested results for return loss, gain, and VSWR etc. The simulation tool test is CST 2021 microwave studio for simulations and study.

Assessment of Dust in Surface Mine at Different Working Conditions – A Case Study
Authors:- Bhawani Singh, Ram Prasad Choudhary

Abstract- Mining is viewed as one of the important economic activities which have the potential of contributing to the development of economies. At the same time, the environmental and health impacts of mining on surrounding communities have been a major concern to governments, the general public and stakeholder organizations and individuals. Whiles the contributions of mining activities to economic development of region is well acknowledged, others contend that the gains from the mining sector to the economy is achieved at significant environmental, health and social costs to the country. If the dust concentration at different location in and around the mining area can be measured, then the places with the potential of high concentration build-up can be identified and appropriate Protective measures can be taken. This thesis includes introduction to the dust generation in limestone mines, sources and effects of dust generation, also study of generated dust has been done on limestone mine over a time period to plot the variations in dust generation. Further, analysis of plot has been done to find the period of maximum dust generation and what preventive measures can be taken to minimize or avoid the dust generation in limestone mines. The present study was undertaken to identify Time-weighted average (TWA) respirable dust concentrations calculated for 8-hour work shifts.

Project Research on Thermoelectric Refrigeration System “Economical Solar Powered Refrigerator”
Authors:- Ashutosh Singh, Anush Kumar, Harsh, Prof. Dr. L.P. Singh

Abstract- Conventional refrigerators are being used since the 1900s. These refrigerators use several moving parts and use various gases such as CFCs (Chlorofluorocarbons), which are quite harmful to the environment as well as these are costlier in price. This conventional kind of refrigerator can’t be used in places of the grid such as military and medical applications, due to possible lack of electricity. So there is a great need for a compact, eco-friendly cooling system. In the past few years, there are much development in the case of cheaper and eco-friendly refrigeration systems one of them being Thermo-electric coolers. Here, our work shows a compact, cheaper, eco-friendly, and nonconventional refrigeration system which will run on solar energy making it appropriate for off-grid applications.

Simulation Framework for the Prediction of Strategic Noise Monitoring and Occupational Noise Exposure at LRT3 Depot
Authors:- Mohd Fazizi B. Ishak

Abstract- Construction industry in Malaysia was found with severe occupational noise exposure problems due to improper noise management including control measure, noise monitoring and lack of reliable noise information at the workplace. However, producing reliable strategic noise mapping in a dynamic, complex working environment is challenging. To overcome the limitation, alternative method for estimating occupational and environmental noise exposure is required. This research applies to LRT3 Depot as a policy of work where persons are employed in any occupation at construction sector covered under Occupational Safety and Health Act 1994 (Act 514). This research proposes on strategic noise mapping in order to provide important information in the simulation framework of the noise exposure using Sound Level Meter (SLM-25) at construction site researchers have to developed area. The preliminary noise measurement will be carrying out in LRT3 project. Hence, to control and mitigate the environmental and occupational noise risk, this research is proposing of calculation of the workers’ and the environment noise exposure during the working hours. Based on the measured data, the individual noise level of each source will be identifying. Then, a probability-based model will be developed to predict the sound exposure level with typical factory schedules. Noise mapping using geometrical acoustical simulation will be utilized to calculate noise exposure levels for more extensive areas instead of a few specific locations. Three case studies will be conducted to obtain the noise exposure levels in another construction site to assess the framework developed. A framework will be proposed base on the result obtain to identify the workers’ and environment noise exposure levels and determine the noise risk zone in construction industry. This research provides manual and instruction to manage the generation of noise at construction site.

A Motor Controlling Improvement with Comparative Analysis of PI and ANN Controller
Authors:- Hariom Sahu, Asst. Prof. C. S. Sharma

Abstract- In this work, the sensorless speed control of a brushless direct current motor utilizing a neural network is presented. This control is done using a two-layer neural network that uses the backpropagation algorithm for training. The values provided by a Proportional, Integral (PI) control to this type of motor are used to train the network. From this PI control, the velocity values and their corresponding signal control (u) are recovered for different values of load pairs. Five different values of load pairs were used to consider the entire working range of the motor to be controlled. After carrying out the training, it was observed that the proposed network could hold constant load pairs, as well as variables. Several tests were carried out at the simulation level, which showed that control based on neural networks is robust. Finally, it is worth mentioning that this control strategy can be realized without the need for a speed sensor.

Artificial Intelligence: A New Trend in Drug Designing Against SARS Cov-2
Authors:- M. Pharm Scholar Ms. Vartika Lohani, M. Pharm Scholar Ms. Akanksha Chaturvedi, M. Pharm Scholar Ms. Swarnima Negi, Associate Prof. Dr. Sachdev Yadav

Abstract- The Covid-19 manifested its destructive effect all over the world leading to a huge loss to mankind. Therefore, the development of a vaccine against coronavirus was the only way to tackle this pandemic. SARS-CoV-2, the causative agent of the Covid-19 pandemic, consists of around 30 different proteins (some of which are M, E, N, and S proteins) and it was difficult to determine all the structural proteins of the virus for the development of vaccine due to frequent changes in its variants. Conventional methods were not able to predict the target protein precisely in a short period. Therefore, SARS CoV-2 has transformed the outlook of research in pharmacy by encompassing Artificial Intelligence (AI) to predict the accurate structure of a protein. Researchers utilized different AI tools such as Alphafold2, CoVex, VirHostNet, etc. to predict the 3D structure of target protein and ligand affinity to design vaccines against the virus. Hike in the usage of AI techniques was observed after the pandemic since many pharmaceutical companies adapted AI to rapidly design vaccines against coronavirus within a short period and that too with high efficiency and optimal cost. Although AI approaches shorten the duration of drug development from 10-12 years to 1-2 years we need skilled data scientists to operate these tools because it is difficult to understand the algorithm for everybody. AI eases the drug designing process in many ways but researchers cannot completely rely on its results since it has its limitations.

Integrated Light Steel Structure Housing
Authors:- Aquib Shaikh, Asst. Prof. Lavina Talawale

Abstract- Housing is an important element in government’s broad social agenda. This element overlaps employment, health, education, crime and many other aspects of life. We can say housing is stable, when everyone has access to a minimum house, social cohesion promotes and people’s lives improve toward self-reliance. On the other hand, designing stable buildings is aimed to reduce its damage on environment, energy resources and nature that requires spending to build housing, however, due to high cost of housing, poor sectors of society cannot buy house, while government has to provide house for all sectors in society. Assuming that LSF structures promote stability, this study is aimed to structural search to build urban buildings, which is responsive to sustainable architecture and can be justified economically.

Analysis for the Beam-to-Column Minor Axis Connections of Steel Frames
Authors:- Atul Sharma, Asst. Prof. Lavina Talawale

Abstract- End plate connections are extensively used as moment resistant connections between members in steel frame.The popularity of this connection can be attributed to the simplicity of the connection detail and economy associated with their fabrication and erection. Flush end plate connection is less rigid and has a lower moment capacity than that of an extended end plate connection. If a rigid joint is aimed extended end plate connection should be used, whereas if a semi-rigid joint is needed flush end plate can be employed. The main objectives of this project were to carry out in-depth investigation of the behaviour of this type of connection by applying finite element technique and experimental means. A three dimensional finite element prediction model of the unstiffened flush end plate beam-to-column connection was developed. Six full scale tests were conducted and the results were analysed. Design of traditional steel frames many draw back occur like as higher deflection and bending.

Static Analysis on Integrated Building of Steel Structure with Wind Turbines
Authors:- Vivek Sharma, Asst. Prof. Lavina Talawale

Abstract- Global warming and increasing electricity consumption trends in many parts of the world pose a serious challenge to most countries from a climate change and energy security perspective. Wind power is the only one that offers a mature technique, as well as promising commercial prospects, and is now generally applied in large-scale electricity generation. Continued technological improvements will assist to boost the on-shore and off-shore wind farms’ ability by improving micro turbine, enhancing reliability with predictive maintenance models. At the same time, as global and regional markets for wind power technologies grow, economies of scale are being reaped in manufacturing. With increased market scale, opportunities to improve the efficiency of supply chains arise. Technological improvements and cost reductions have led wind energy to become one of the most competitive options for new generation capacity.

An Improvement Transmission Tower in Effective Load Bearing Capacity
Authors:- Ayaz Shaikh, Asst. Prof. Lavina Talawale

Abstract- In this research work design of transmission tower using STAAD PRO Software. Also analysis of steel structure load effect in this tower structure. Proposed design to apply maximum dead load, live load and wind load. In this situation observation of load bearing capacity in form of maximum movement force. These forces are minimum when higher bearing capacity. These research work allocation of absolute weight and bending parameters. In every developing country, the electric power consumption has rising highly, as the rate of growth of population is being very high in every country on account of the comparatively low base area. Bracings are interconnections between legs, to provide stability and to distribute load equally between legs and ground. There are a lot of requirements have to be discussed in the planning and design of transmission tower.

Review Paper on “Auto Clutch System in Automobile”
Authors:- Dr. A.C. Gangal, Anurag Bhogale, Swapnil Pol, Devvrat Mestry, Aditya Anavkar

Abstract- Our main focus in this project is to design a small auto-clutch for automobile system or for a car system.In this project we have to studied the automatic clutch mechanism in vehicles. The fabricationpart of it has been considered with almost case for its simplicity and economy, such that this can be accommodated as one of the essential tools on automobile garages. With automatic clutch system for car you can convert a manual car to semi-automatic at the touch of button. This automatically activates the clutch pedal movement in a completely controlled system. Then the car will be driven by using just the brake and accelerator.Features of using this type of system is changing gear without using your foot to operate the clutch and more fuel economical then an automatic.Auto-clutch comprises of two units first is elaborate electronic control and the second is electric motor.

Detection and Classification of Plant Diseases by Alexnet and Googlenet Deep Learning Architecture
Authors:- M.Tech. Scholar Sumit Sharma, Prof. Hemant Kumar

Abstract- In this work, we have a plant disease detection system with the help of imaging technology that automatically detects the symptoms displayed on the leaves and stems of the plant and grows healthy plants on the farm Suggests that it helps. The system monitors all changes observed in plants and characteristic features such as leaves and stems, automatically identifies the changes and notifies the user. This work provides an evaluation study of existing disease detection systems in plants. The latest development of the deep learning-based convolutional neural network (CNN) has vastly enhanced accuracy of image classification. Driven by CNN’s success in image classification, this Thesis based on the pre-trained deep learning-based method for detecting plant diseases. The contribution of this work has two aspects: The most advanced large-scale architecture, such as AlexNet and GoogleNet. AlexNet and GoogleNet Pre-Trained model proposed model was trained and tested on data sets collected from kaggel website. Training, testing and experimental results show that proposed architecture can realize and higher GoogleNet model getting is 99.10 %.accuracy as compare to other model.

Analysis of Spectrum Sensing Cognitive Radio Networks
Authors:- M. Tech. Scholar Hariom, HOD. Parshant Rana, Associate Prof. Dr. Sweety Nain

Abstract- The recent advances in wireless communication have led to the problem of growing spectrum scarcity. The problem of spectrum allocation is due to advance research in wireless communication. As new wireless applications are emerging, day after another, and making use of the available wireless spectrum for communication, the demand for spectrum increase makes the available spectrum scarcer. Mostly part of the spectrum is not utilized significantly in the wireless network. Cognitive Radio (CR) is a new technology that enables an unlicensed secondary user to coexist with licensed primary users in licensed spectrum bands without inducing interference to licensed primary users communication. This technology can significantly ease the spectrum redundancy problem & enhance the efficiency of utilization of spectrum. Cognitive Radio Networks (CRN) or Dynamic Spectrum Access Networks are formed by several CR nodes and they are often called NeXt Generation (XG) communication networks. This XG communication network is expected to give high transfer speed to versatile clients through heterogeneous remote designs and dynamic range access procedures. CRNs have drawn in incredible exploration interest in the new years. Nonetheless, research on the security parts of CRNs has been exceptionally restricted. As CRN is like a remote organization, the idea of the remote media is outside; it is more helpless against assaults when contrasted with that of a wired organization. This channel might be stuck/abuse due to remote media information is to be listened to..

Design & Analysis of Hybrid System using Fuzzy Controller
Authors:-M. Tech. Scholar Mandeep, Asst. Prof. Sunil Kumar Mahapatro,
Associate Prof. Dr. Parmod Sharma

Abstract- This paper presents a novel adaptive scheme for energy management in hybrid power systems. The proposed management system is designed to manage the power flow between the hybrid power system and energy storage elements in order to satisfy the load requirements based on fuzzy logic controllers. The advance fuzzy logic controller is developed to distribute the power among the hybrid system and to manage the charge and discharge current flow for performance optimization. The developed management system performance was assessed using a hybrid system comprised PV panels, wind turbine (WT), battery storage. The dynamic behavior of the proposed model is examined under different operating conditions. Real-time measured parameters are used as inputs for the developed system. The proposed model and its control strategy offer a proper tool for optimizing hybrid power system performance, such as that used in smart-house applications.

A Review on Medicinal Applications of Azadirachta Indica or Neem
Authors:- Asst. Prof. Dr. Pushpraj Singh, Dr. Pradip Narayan Dongre (Principal)

Abstract- Neem, commonly known as Azadirachta indica is an evergreen, temperature tolerant, flowering plant in the mahogany family Meliaceae native to India but now it distributed to other continents of the world. It is among medicinal plants those have a wide range of medicinal values. Almost every part of the tree is used as medicine both locally and after preparation in pharmaceutical industries. All parts of the neem tree- leaves, flowers, seeds, fruits, roots and bark are used for various preparations in Ayurveda. It is effective against microorganisms and ectoparacites including bacteria, fungi, viruses, ticks and mites. In addition it has antimalarial, anticancer, antifertility, antioxidant, antidiabetic, anti-inflammatory, hepatoprotective, neuroprotective and wound healing effects. It is also used in agriculture as pesticides and fertilizer to increase crop production. It is also a source of feed for animals which provides a number of nutrients like protein, minerals, fatty acids, vitamins etc. This paper focuses on the different medicinal applications of neem tree.

Analysis of Wind Power Generation Plant at Remote Area through HOMER Software
Authors:- PhD Scholar Ramesh Chander Bansal, Prof. Dr. Mohammad Mauzam

Abstract- This Paper presented on wind power generation plant at remote area for doing fulfillment of electricity uses in the remote area. For this purpose we used a wind turbine and some initial data for research through homer software for analysis of wind power generation in remote area. Based on so chosen individual RES type, either PV or wind, .system design suitable for agro/horticulture irrigation, domestic/street light and micro/tinny/cottage or small scale industry with sufficient backup and energy storage; the research model shall be designed, developed and simulated on HOMER for early detection of short comings for improvement. To confidence of visualizing a vast vision towards independent, non-diminishing, with zero emissions RES at a village, farm, industry, institution, or a city level. All can be managed through automation of micro grid protecting all connected nodes (RES sources). Each such category can fix up its own RES through a systematic approach and hook up to local micro grid with net metering concept.

Review on Power Transmission and Distribution Losses – A Modal Based on Available Empirical Data and Future Trends for all Countries Globally
Authors:- M.Tech.Scholar Sadre Alam, Prof. Lokesh Shukla

Abstract- In this paper an attempt is made to reduce the power losses in practical distribution system. Power System faces a big problem of distribution losses. In this paper technical, non technical and administrative losses are calculated of local city. Analysis of various types of distribution losses of radial distribution network is considered. More than 60% power loss due to technical and non technical loss etc. In this paper a new attempt of calculation of various distribution losses in power system and their economic effect on the utility are introduced..With the help of case study of radial distribution of local city, some new concepts are introduced to reduce the power losses and improve the voltage profile in practical distribution.

Survey Paper of Wireless Sensor Network
Authors:- M.Tech. Scholar Priya Singh, Asst. Prof. Neelesh Shrivtastav, Hod Pradeep Tripathi

Abstract- In recent years there is a quick advancement in the field of Wireless sensor network. This paper gives brief introduction of Wireless sensor associate with its applications in the field of condition, structure checking, keen home watching, Industrial application, prosperity, military, vehicle recognizable proof, blockage control and RFID tag. With movement in WSN, little and simplicity sensor centers end up available, which have limits of Wireless correspondence, recognizing diverse sorts of biological conditions and data getting ready. There are different sorts of coordinating traditions depending on application and framework designing. Guiding traditions give route in the framework and capable multi-skip correspondence. WSNs can be found in various applications like normal native and military by and large which get a handle on enemy interference area, challenge following, calm watching, living space checking, fire acknowledgment and cutting edge.

Review: Plant-Leaf Disease Detection using Deep Learning Techniques
Authors:- M. Tech. Research Scholar Deepika Soni, Asst. Prof. Neelesh Shrivtastav, HOD Pradeep Tripathi

Abstract- Agriculture is the major kind of income for a large section of people in India and the essential requirement of human life. Agriculture plays a vital part in many country’s growths. Because of diverse weather and local conditions, the yields become polluted by numerous sorts of illnesses. The majority of sickness may be observed on plant leaf in the first phase and eventually damage the whole plant might result in less crop production. Identification of sickness in plants is a crucial component to prevent the loss in the agricultural industry and enhancing the quality of agricultural goods. As there are innumerable plants on the fields, it is rather tough during natural eye observation to recognise the sickness and to identify particular plant breakdowns in agricultural settings. It is vital to check all crops to prevent the spread of infection in a large region. To ensure exceptional quality with high product production, it is vital to have accurate illness identification and control actions to avoid disease in the early stage. This recommended model will be AI-based software for the crop leaf infection detection to make it quick and easy diagnostic and subsequently evaluating this and generating foreseeable resolutions toward the avoidance of enormous crop cultivation loss. This method is targeted at boosting the profitability of crops in farming. In this model, we need to follow several procedures such, image data set collection, pre-preparation, feature selection from leaf image, assessment, and classification of illnesses.

A Review of Intrusion Detection System
Authors:- M. Tech. Scholar Jyoti Singh, Asst. Prof. Krishnakant Sharma

Abstract- In 21st century, because of easily available internet, virtually anybody can access it and access any network. To avoid any unauthorized access network security is one of the most important requirements in a system. Over the last years, many software solutions have been developed to enhance Network Security and this paper provides one such solution which has become prominent in the last decade: Intrusion Detection System (IDS). In this paper we have provide an overview of different types of Intrusion Detection Systems, the advantages and disadvantages of the same. Finally, the details of examples of Intrusion Detection System proposed by other authors have been elaborated. The examples are as follows. (1) Usefulness of DARPA Dataset for Intrusion Detection System Evaluation. (2) Performance Enhancement of Intrusion Detection System using Advance Sensor Fusion. (3) Analysis and Evaluation of Network Intrusion Detection Methods to Uncover Data Theft.

Review Paper on Attack on Under Water Mobile Ad-hoc Network
Authors:-M. Tech. Scholar Uma Singh, Prof. Krishnakant Sharma

Abstract- A Wireless networks, in compared to wired networks, are more susceptible to a variety of types of attack than wired networks. When a Wormhole tunnel is used to relay traffic from one site to another without using any cryptographic procedures that are negotiated over the network, it is referred to as the Wormhole Attack. Because of this, guarding against this attack is very challenging. In this paper, we look at the WSN concept as well as the Wormhole Attack. Following that, we’ll speak about how wormhole attacks are categorised, as well as a number of the efforts now ongoing to detect and prevent them.

Review of Artificial Intelligence Techniques for Covid-19 Diagnosis
Authors:- M.Tech. Scholar Amit Pandey, Associate Prof. Dr. Anshuj Jain

Abstract- For diagnosis of corona virus disease 2019 (COVID-19), a SARS-CoV-2 virus-specific reverse transcriptase polymerase chain reaction (RT–PCR) test is routinely used. The COVID-19 pandemic has rapidly propagated due to widespread person-to-person transmission. Laboratory confirmation of SARS-CoV-2 is performed with a virus-specific RT–PCR, but the test can take up to 2 days to complete. This study shows various techniques of artificial intelligence (AI) algorithms to findings with clinical symptoms, exposure history and laboratory testing to rapidly diagnose patients who are positive for COVID-19.

Basic Approach of Recombinant DNA Technology and its Applicability in Various Sectors
Authors:- Dr. NamrataMittra

Abstract- Recombinant DNA (r-DNA) technology or genetic engineering is offering new strategies and opportunities to combat severe health and environment issues. Recombinant DNA is constructed by inserting the DNA of interest with the help of the restriction enzymes and ligated into the vector by DNA ligases. Restricted DNA fragments and the vector are cut with the same restriction enzyme to make it compatible to each other which ligates them together by the DNA ligases. Depending upon the ends generated by the restriction enzymes either sticky or blunt ended fragments, DNA ligases act upon them accordingly. The vector replicates independently and swiftly once introduced into host cell. The vector is selected depending on the size of the DNA insert i.e. smaller to larger. The recombinant colonies or plaques are screened from the non-recombinants by blue-white screening or antibiotic resistance strategy. The rDNA technology is involved in the therapeutics of severe human diseases such as Hepatitis B, human growth hormone, insulin etc. The rDNA technology is not limited to therapeutics of human diseases but to the production of beneficial industrial products and insect resistant crops. It is moving towards to resolve environmental issues by degradation of the environmental pollutants which is major area of concern. To maintain a balance between the health and environment, the rDNA technology has step forward in resolving the severe issues related to it. The review explores the basic strategies involved in the rDNA technology and its effectiveness to the world in sustaining balance between human health and environment.

Review Paper on Fuel from Waste Plastic Using Pyrolysis Method
Authors:- Asst. Prof. Eknath Manjarekar, Mayuresh Shivapurkar, Swapnil Rane, Tejas Shirke, Adnan Shaikh

Abstract-Plastics have become in indispensable part in today’s world. Due to their light-weight durability, energy efficiency, coupled with a faster rate of production and design flexibility, these plastics are employed in entire gamut of industrial and domestic areas. Plastic are non-degradable polymers of mostly containing carbon, hydrogen and few others elements such as chlorine, nitrogen etc.…Due to its non-biodegradable nature. The plastic waste contributes significantly to the problem of municipal waste management. Plastic are natural / synthetic materials. They are produced by chemically modifying natural substances or are synthesized from inorganic and organic raw material. On the basis of their physical characteristics, plastics are usually divided into thermosets, elastomers and thermoplastics. These groups differ primarily with regard to molecular structure, which is what determines their differing thermal behavior. The following table lists the characteristics of the various types of plastics. So here we will convert waste plastic into diesel, plastics are shredded and then heated in an oxygen-free chamber (known as pyrolysis) to about 400 degrees Celsius. As the plastics boil, gas is separated out and often reused to fuel the machine itself. The fuel is then distilled and filtered. Because the entire process takes place inside a vacuum and the plastic is melted – not burned, minimal to no resultant toxins are released into the air, as all the gases and or sludge are reused to fuel the machine.

Review on Ultra Capacitor- Battery Interface for PV Systems Using MPPT Controller
Authors:- M. Tech. Scholar Altamash Adil, Asst. Prof. Bhanu Pratap Singh

Abstract- Electrical energy storage is an important part of any electric-drive technology, whether it’s hybrid, fuel cell, or all-electric. The high cost of replacing battery banks that have run out is a big cost with energy storage. One way to lessen the load on batteries and fuel cells is to use ultracapacitors as load-leveling devices. Here, we look at the technology and challenges of the ultracapacitor-Battery interface for an energy management system. We also look at the related research work.

Review of Motor-Generator Pair System for Renewable Energy Systems
Authors:- M. Tech. Scholar Aishwarya Pandey, Asst. Prof. Bhanu Pratap Singh

Abstract-Based on power balance and stability of power grid, pumped storage power station plays an important role in modern power system. Motor-generator is the main equipment of a pumped storage power station. The fault rate and operation reliability of motor-generator is directly related to safe and stable operation of the power station and even the power grid. This paper summaries different types of faults with several examples of fault treatment of large-scale motor-generators, and puts forward corresponding countermeasures and suggestions, which provides a good reference for similar fault prevention and diagnosis.

Digital Watermarking Techniques: A Review
Authors:- M. Tech. Scholar Mansi Pathak, Asst. Prof. Narendra Pal Singh

Abstract-Digital image watermarking is the technology that is used in information security applications like digital image content protection and copyright protection. In this paper, a brief review of literature on digital image watermarking is presented. Watermarking algorithms can be classified based on different criterions. Depending upon the specific application, watermarking algorithm should satisfy certain requirements .This paper presents a review on different digital watermarking techniques and their properties. The main reason for development of digital watermarking research is to protect intellectual properties of the digital world. Since the recent technology makes it easy copying the digital contents without any restrictions and editing without any prohibitive professional efforts. In the absence of protecting techniques, it difficult to rely on digital storage & communication systems for secure medical, business, and military applications.

A Review Study on Pantograph Mechanism Using Ansys
Authors:- M. Tech. Scholar Narandra Moray, Associate Prof. Dr. Ram Gopal Verma

Abstract- The four-bar mechanism is crucial in the study of machine theory. The pantograph is an example of a four-bar device. In most cases, it’s only the parallelogram that’s utilized to duplicate the profile. A pantograph is a basic but effective instrument for expanding the realm of art and craft. With a pantograph, we may replicate pictures to a smaller or larger size depending on how the pieces are measured and constructed. The pantograph seen in the drawing would duplicate the original. We “create, develop, and study the portable pantograph for engraving letters on wood” in this subject. Our pantograph is compact and easy to transport. The major task of this pantograph is also copying with the various scales of the characters. When compared to a traditional pantograph, this machine is less expensive. It may be an ancient mechanism, but it still has a lot of potential. It has a wide range of applications nowadays.

A Review on Moving Target Detection based on Edge Extraction
Authors:- M.Tech. Scholar Nikhil Soni, Prof. Mahesh Prasad Parsai

Abstract- Detecting and tracking moving objects in a sequence of video images is an important application in the field of computer vision. This topic has many applications in surveillance systems, human-computer interaction, robotics, etcThe main features can be extracted from the edges of an image which significantly reduce the amount of data to be processed while preserving the important structural properties of an image In this thesis which is based on the experimental result shows a new viewpoint to image processing from video footage using edge detection and morphological image processing. We have introduced a new idea of receiving processed image for detecting an inflamed with the help of canny edge detection will be more efficient. Our conclusion has shown an excellent in term of Accuracy percentage, Accuracy 97.618 %, Sensitivity specificity time in sec, Walking Speed in sec.

A Review on Designing of Power and Delay Efficient 10T and 14T SRAM Cell
Authors:- M.Tech. Scholar Sanjay Mongiya, Prof. Pratha Mishra, Prof. Sandip Nemade, Dr. Vikas Gupta

Abstract- In the last decade, with the advent of smart phones, almost all signal processing devices are becoming the part of a single hardware. From simple calculator to complex image processing, our smart phone contains hundreds of applications which were the part of separate device in the past. This tremendous load of signal processing (addition, subtraction, multiplication, division, numerical integration, convolution, and filtration) eventually loads on the basic computational unit, the full adder. The complex algorithms of today’s’ mobile applications demand support of very high speed and low power hardware It is necessary to ensure any leakages which cause the read sensing failure and degraded cell stability due to the half-select write. For avoid this situation proposes an equalized bit line scheme to eliminate the leakage dependence on data pattern and thus improves RBL sensing. Also this process a fast local write-back (WB) technique to implement a half-select-free write operation. With hierarchical bit line architecture, it facilitates a local read and a subsequent fast WB action to secure the original data without performance degradation.In the literature survey Non-destructive column-selection-enabled 10T and 14T SRAM for aggressive power reduction, power and delay is presented in brief.

Failure Mode and Effect Analysis
Authors:- M.Tech. Scholar Deepanshu Chouhan, Prof. Vipul Upadhayay

Abstract- Quality management is a way to get better effects. Due to the great competition on world market amongst production companies there appeared a need for effective ways of improvement of the quality level of products. For many years different methods were tried to change the quality e.g. through economical instruments, however it turned out that there had been no significant relationship between the quality and the financial result. FMEA is an inductive reasoning (forward logic) single point of failure analysis and is a core task in reliability engineering, safety engineering and quality engineering. A successful FMEA activity helps identify potential failure modes based on experience with similar products and processes—or based on common physics of failure logic. It is widely used in development and manufacturing industries in various phases of the product life cycle. Effects analysis refers to studying the consequences of those failures on different system levels.

Strength Analysis of Concrete by Using Aerated Concrete Material
Authors:- M.Tech. Scholar Abdul Khaliq, Asst. Prof. Anuj Verma

Abstract- The use of AAC blocks may cut building costs by up to 25%. Because autoclave aerated concrete is lighter than traditional brick, we believe that by using this advantage, we may lower the weight of infill walls on beams, columns, and footings by replacing conventional bricks with AAC blocks while also saving reinforced steel. Because of its light weight and great deformability (low Young modulus in compression), this material tends to lessen inertia forces on the building caused by seismic activity. The masonry compressive strength of AAC, on the other hand, is very low when compared to other conventional masonry types, despite its highly restricted variability. The production method and seismic performance of autoclaved aerated concrete blocks are the subjects of this researchThe purpose of this experimental project is to develop non-autoclave concrete blocks that may be utilized in a range of applications while retaining their compressive strength and other properties. In non-autoclave aerated concrete blocks, materials such as fly ash, cement, lime, gypsum, and aluminium powder as an expansion agent are used. In this study, we examine the compressive strength of non-autoclave concrete cubes that measure 70.6 mm in size and are also 70.6 mm in height. The compressive strength of blocks was determined by varying the amounts of Aluminum powder at 0%, 0.04%, 0.08%, 0.12% and 0.16%.used in the blocks while maintaining all other parameters constant. The results of this experiment demonstrated that when the density of the blocks drops because of an increase in the concentration of aluminium powder in the blocks, the compressive strength of the blocks decreases.

A Review on AI based Virtual Assistants
Authors:- Farheena Tabassum, HOD. Ms. Mona Mulchandani, Asst. Prof. Ms. Parul Bhanarkar

Abstract- Consumers and professionals are becoming highly engaged in smart assistants and virtual assistants due to recent advancements. Voice assistants provide a wide range of services with new and effective user interfaces. However, such technologies disclose new requirements as well as some flaws. Furthermore, they do not provide automation jobs such as WhatsApp automation, YouTube automation and many more services like translator, Wikipedia search, information about corona cases etc. To address these difficulties, we present a virtual assistant architecture for laptop that incorporates some of the most modern techniques in automation, speech production and recognition, and artificial intelligence. The proposed assistant is efficient and effective in terms of resources, as well as interactive and configurable, and the completed prototype runs on a laptop.

Bidirectional Grid-Connected Single-Stage Converter with Unfolding Circuit
Authors:- M. Tech. Scholar Anil, Prof. Manish Kethoriya

Abstract- This Paper presents optimize energy extraction in photovoltaic (PV) energy systems. The maximum power of the photovoltaic module will change due to changes in temperature, solar radiation and load. To maximize efficiency, the photovoltaic system uses a maximum power point tracker (MPPT) to continuously extract the most power that the solar panel can generate and then pass it on to the load. The overall structure of the MPPT system consists of a DC-DC converter (an electronic device that converts DC energy from one voltage level to another) and a controller. During changes in weather conditions, MPPT uses a tracking algorithm to find and maintain operation at the point of maximum power. Many different algorithms for MPPT have been proposed and discussed in the literature, but most of these methods have disadvantages in terms of efficiency, precision, and flexibility. Due to the non-linear behavior of the current voltage characteristics of the PV module and the non-linearity of the DC-DC converter due to switching, conventional controllers cannot provide an optimal response, especially when dealing with a wide range of shifting line parameters and transients. The purpose of this work is to design and implement a maximum power point tracker using fuzzy logic control algorithms. Fuzzy logic naturally provides an excellent controller for such nonlinear applications. This method also benefits from artificial intelligence methods that can overcome the complexity of modeling nonlinear systems. To make this work a success, Simulink designed and simulated an MPPT system consisting of photovoltaic modules, DC-DC converters, batteries, and fuzzy logic controllers. Perform the characterization of the buck, boost and buck-boost converter to find the most suitable topology for the PV system used. The integrated model of the PV module with the identified converter and battery was simulated in MATLAB to gain the necessary experience to formulate and adjust the fuzzy logic controller. The simulation results show that fuzzy logic.

Review Paper on Automatic Car Parking Brake System Using Hydraulic Brake Circuit in Any Four Wheeler
Authors:- . E.Manjaerkar, Siddhesh Belnekar, Parag Dicholkar, Aniket Gaonkar, Nishant Gaonkar

Abstract- A parking brake is an important tool in any automotive parking system. The parking brake system is designed toused the basic hydraulic system or circuit present in the four wheeler itself. The mechanical hand brake system is quite difficult for the driver to use. However the present designed circuit operates on an additional use of a small ‘ON-OFF’ switch to apply parking brake to the vehicle or refuse the parking brake. It comprises of hydraulic master cylinder, high pressure parking, wheel cylinder, disc brake, solenoid valve and ‘ON-OFF’ switch.

Image Security of Water Marking Digital Image Based on based on SVD and DWT with Haar Transform
Authors:- . M. Tech. Scholar Manish Kumar, Asst. Prof. Shivraj Singh

Abstract- This paper proposed a novel watermarking based on SVD and DWT with Haar transform, the embedding; the lowest frequency components of the source image which were transformed into DWT were divided into sub-blocks in order to improve capacity. of watermarking. Then the watermark is embedded in the singular values of sub-blocks. Hence in this proposed method, depending on the embedding stage and extraction stag that presented in but our scheme embeds the logo bits inside the low frequency domain because DWT gives optimal results with LL domain, while used middle frequency domain with DCT. Our improvement by using an image encryption using the encoding along with the image watermarking hence this provide more accuracy in the security and also less in data loss, when compared with the other methodologies. This method also focused on the objective of improving the quality after embedding stage and the recovered watermark after extraction stage. After experiments, it was found that our proposed method provides security and high performance with low computational complexity and good objective quality. Our scheme evaluate the performance for the watermarked image after embedding stage by using Peak signal to Noise Ratio (PSNR), while the recovered watermark evaluated by some types of the performance metrics such as Mean Square Error (MSE).

Wastewater Reuse and Recycling in the Textile Industry
Authors:- . M. Tech. Scholar Manish Kumar, Asst. Prof. Shivraj Singh

Abstract- The textile industry is one of the most significant and rapidly growing sectors of the economy. Textile effluent has a variety of properties due to the usage of a variety of chemicals. Chemicals used in textile manufacturing Textile effluent have a high pH due to the usage of various alkaline chemicals. Chemicals used in textile manufacturing pH, TDS, TSS, and colour may all be removed using a variety of ways ion exchange, coagulation and flocculation, biological decolorization, and adsorption from textile effluent etc. (Khatmode, 2015) In this review paper various methods are explained also reuse of the recycled effluents are also explained.

A Review Article of a Solar Power Generation and Fault Effect Analysis in Matlab
Authors:- Prof. E.L.Manjarekar, Faizan Girkar, Prakash More,Hanish Parab, Siddharth Parab

Abstract- The Ranque-Hilsch vortex tube has been used for many decades in various engineering applications. Because of its compact design and little maintenance requirements, it is very popular in heating and cooling processes. Despite its simple geometry, the mechanism that produces the temperature separation inside the tube is fairly complicated. A number of observations and theories have been explored by different investigators concerning this phenomenon. This report goes over some of the major conclusions found from experimental and numerical studies since the vortex tube’s invention. One of these studies showed that acoustic streaming caused by vortex whistle plays a large part in the Ranque-Hilsch effect.

A Review Article of a Solar Power Generation and Fault Effect Analysis in Matlab
Authors:- Prof. E.L.Manjarekar, Faizan Girkar, Prakash More,Hanish Parab, Siddharth Parab

Abstract- The Ranque-Hilsch vortex tube has been used for many decades in various engineering applications. Because of its compact design and little maintenance requirements, it is very popular in heating and cooling processes. Despite its simple geometry, the mechanism that produces the temperature separation inside the tube is fairly complicated. A number of observations and theories have been explored by different investigators concerning this phenomenon. This report goes over some of the major conclusions found from experimental and numerical studies since the vortex tube’s invention. One of these studies showed that acoustic streaming caused by vortex whistle plays a large part in the Ranque-Hilsch effect.

A Review Article of a Solar Power Generation and Fault Effect Analysis in Matlab
Authors:-Kiran Pure, Asst. Prof. Deepak Bhataniya

Abstract- In the recent years the detection as well as the identification of various faults in the Photovoltaic (PV) system applications has been attracting several researchers across world. Photovoltaic (PV) power generation systems are very good in working with several climatic outdoor conditions, Hence the present faults can see to occur within the PV arrays in PV systems. Online fault detection for the PV arrays is important to improve the system’s reliability, safety and efficiency. There are some researches shows the working of the potential faults in order to monitor the faults as well as to make identifications through fault diagnosis that have been elaborated in order to develop and to modify the present problems solving method so to detect early faults in Photovoltaic (PV) system present in the system operators. In this paper author tries to put information precisely taken forward from previous research. The author also explains about the latest trends applied in the PV system fault diagnosis as well as protection system. In this paper a new approach towards literature has been introduced associated with the fault studies present in the PV systems. In this survey paper author has explained about further discussions over how specific solutions can be provided to make a comprehensive solution to the fault problems of the PV system.This paper presents the classification and detection of faults in a distributed generation, particularly Photovoltaic (PV) Grid-Connected system. The initial step in fault detection of PV system is recognition, investigation and classification of all possible faults that maybe occur in the system.

Analysis of Helical Compression Spring Used in Two Wheeler Suspension System
Authors:-Asst. Prof. Hejib Amit Gulabrao

Abstract- The helical compression spring used in two wheelers is belonging to the medium segment of the Indian automotive market. The detailed assessment of the problem of two wheeler suspension spring is studied. Most of time springs were failed due to raw material defects, surface imperfection, improper heat treatment, corrosion and decarburization and high weight of suspension. These problems can be solved by applied thick layer of paint as adhesive, proper heat treatment, change in shape and material of helical compression spring. In this work, the spring rate can be increased by change in structure i.e. change in number of active coils of spring. The static stress analysis using finite element method will be validating by experimental validation.

A Review Article of Control and Performance Evolution of Fopid Based Single Stage Grid Connected PV System
Authors:- M.Tech. Scholar Srishti Dehariya, Prof. Dr. Anil Kumar Kori

Abstract- Traditional power systems are designed in large half to utilize large base load power plants, with restricted ability to speedily ramp output or prune output below an exact level. The increase in demand variability created by intermittent sources like photovoltaic (PV) presents new challenges to increase system flexibility. This paper aims to analysis and emphasize the importance of the grid-connected PV system regarding the intermittent nature of renewable generation, and thus the characterization of PV generation with relevancy grid code compliance. The investigation was conducted to critically review the literature on expected potential problems associated with high penetration levels and islanding bar methods of grid tied PV. In line with the survey, PV grid affiliation inverters have fairly good performance.

Inventory Management System
Authors:- Shamita Deshmukh, Asst. Prof. Sana Tak

Abstract- Inventory management system is a system used to maintain the status of the inventory stocks. We can use it to create a new purchase order which is a requisition for the materials or goods. Using inventory management systems we can edit, manage, approve, and delete purchase orders. This system is crucial for the efficient management of a company or organization’s inventory and saves a lot of time. This project is an application based on a local server which can be accessed by multiple users. It utilizes properties such as CRUD operations and ACID properties, ABC analysis, and Just in Time. It also comes under the domain of Enterprise Resource Planning systems which is a software to manage day to day functions.

Analysis of Climate Changes and Slope Instability Factors Triggered by Natural Rainfall
Authors:- Associate Prof. Dr C P Ramesh, Assistant Prof. B S Girish

Abstract- Rainfall-triggered slope instability is generic in tropical regional countries, i.e everywhere soil on the hillside is usually unsaturated, having greater resistance than the saturated state due to the suction of the matrix. This paper aims to check the pore pressure (PWP), slant rain infiltration and equivalent consequence of slope stability in various sections of India. By raining on the sloped surface of the region, SEEP/W parameter is considered, where, boundary condition flux and transient seepage analysis are to be performed to check slope stability. For the Slope stability analysis, we checked with various slopes and extreme rain intensity for a period 2015 – 2025, where the rain analysis is carried out with a week date and time. From the analysis, the paper is concluded that, due to change in climatic issues, slopes in the regions are quite stable but rain fall prediction is failed under weather forecasting, so the factor of safety is 1.0013 in the period of the range 2015-2050, similarly the value of FOS is 0.9935 and 0.9989 is respectively, for the period 2051-2075 and 2076-2100.

A Review on Performance Optimization of Absorption Refrigeration Systems Using Box-Behnken Design and Central Composite Design
Authors:- M.Tech. Scholar Ranjana Kushwaha, Prof. Dr. Nitin Tenguria

Abstract- The decrease of fossil fuels such as natural gas, coal, oil and the increase of the negative impact of these fuels increase the need for renewable energy sources day by day. Therefore, in the last few years, the use of absorption refrigeration systems (ARSs) instead of vapor compression refrigeration systems is currently gaining momentum.The most important advantages of ARSs are as follows: They do not destroy the ozone layer depending on the working fluid pairs used in the system and can benefit from various renewable energy sources (i.e., geothermal energy or solar energy).

Review Study of Thermal Impact on Poppet Valve of I.C. Engine
Authors:- M.Tech.Scholar Aman Kumar, Asst. Prof. Dr. Ram Gopal Verma

Abstract- A poppet valve is a kind of valve that is used to regulate the flow of fuel into and out of internal combustion engines. The valve mechanism is in charge of controlling the operation of these devices. Thermal stresses arise in these valves when they are subjected to high temperatures, making thermal assessment critical for predicting and avoiding valve failures. The major role of the valve train is to ensure that the gases flow in the opposite direction at all engine speeds. The valve tools mechanism of an I.C. Engine is comprised of the components that control the timing of the intake and exhaust valves in relation to the location of the piston and crankshaft, as well as other components. During high-intensity walking settings, the thermochemical conductivity of various different valves will be investigated in order to evaluate their overall performance and balance, as well as discover any potential compromising flaws.

A Review Article Of High Voltage Power Distribution & Power Stability Enhancement Using Svc Controller
Authors:- Student Me (Hvps) Preeti Gawande, Asst. Prof.Sudeep Kumar Mohaney

Abstract- Since the beginning of the last century, power system stability has been recognized as a vital problem in securing system operation. Power system instability has caused many major blackouts. This paper reviewed the previous technical works consisting of various methods of optimization in controlling power system stability. The techniques presented were compared to optimize the control variables for optimization of power system stability. Power system stability enhancement has been investigated widely in literature using different ways. This paper is focusing on SVC performance for enhancing power system stability either through SVC controlled itself or SVC controlled externally by other controllers. Static VAR compensators (SVCs) are used primarily in power system for voltage control as either an end in itself or a means of achieving other objectives, such as system stabilization.The analysis on performance of the previous work such as advantages and findings of a robust method approach in each technique was included in this paper.

Wastewater Reuse and Recycling in the Textile Industry
Authors:- Soundarya T. Patil, Anuja M. Mourya, Prithvi A. Chavan, Shrutika K. Lipare, Pratiksha C. Nirmale, Prof.(Dr.) M. B. Chougule

Abstract- The textile industry is one of the most significant and rapidly growing sectors of the economy. Textile effluent has a variety of properties due to the usage of a variety of chemicals. Chemicals used in textile manufacturing Textile effluent have a high pH due to the usage of various alkaline chemicals. Chemicals used in textile manufacturing pH, TDS, TSS, and colour may all be removed using a variety of ways ion exchange, coagulation and flocculation, biological decolorization, and adsorption from textile effluent etc. (Khatmode, 2015) In this review paper various methods are explained also reuse of the recycled effluents are also explained.

Survey on Music Player by Detecting Facial Emotions
Authors:- Hrishikesh Ravindra Vite, Shivani Raju Bhople, Heet Sureshbhai Hadiya, Mohammed Saqlain Patel

Abstract- Facial recognition has been recognized as an active research subject in the Computer Vision community. The job is to compile a frame for finding a facial expression that can examine a person’s important external appearance. The proposed strategy uses person faces to distinguish that person’s attitude and ultimately used the effect to play music that matched one’s emotions. Initially, the framework accepts a person’s face as information and then an additional cycle will continue. A face scan is performed. Then a feature removal approachis used to identify the person’s face. This process helps to identify a person’s emotions using face image features. By removing part of the lips, mouth, eyes, and eyebrows, those concentrated substances are obtained. If the face information will accurately align the surface of the sensory base database then we can see the direct human emotion of playing the emotion-related audio record. Consent under a variety of natural conditions can be made by preparing a predetermined number of facial features. The proposed method is basic, effective and accurate.

A Review of Paver Block with Fly Ash Addition
Authors:- M. Tech. Scholar Sachin, Asst. Prof. Anuj Verma

Abstract- Concrete paver blocks are made with concrete basically consisting of cement, fine aggregates, coarse aggregates , water, etc. Overall performance of concrete paver blocks used is mainly governed by properties of materials, water cement ratio, mixing process and curing process. To suit the imagination of landscape architectures and natures, pavers are having various shapes, sizes and colours. They are placed in variety of pattern. Natural resources are depleting worldwide, at the same time the generated wastes from the industry, agriculture and residential area are increasing significantly. The sustainable development for construction involves the use of Non-conventional and innovative materials. The recycling of waste materials just like plastic, fly ash and rice husk ash in order to compensate the lack of natural resources and to find alternative ways conserving the environment.

Strength Analysis of Concrete Using Marble Waste and Coconut Waste
Authors:- Shivendra Awasthi, Asst. Prof. Mr. Anuj Verma

Abstract- In building, concrete is used to cover the reinforcing elements of an element. They are manufactured from inert mineral material, cement content, water, and admixtures, among other ingredients. As a result, the purpose of this inquiry is to identify those component elements that may partly replace the ingredient of concrete. As a result, we recycle waste materials from our business, such as marble dust and coconut coir. Additionally, the strength of concrete may be determined by partly replacing cement with marble dust and adding coconut coir in various percentages with varied variations of percentages.

Modeling and Simulation of 3D Scaffold for Bone Tissue Regeneration
Authors:- Geetha Bala Subramani, Asst. Prof. Vijayalakshmi V, Nithyasree B, KiruthikaV

Abstract- The major problem in the use of scaffold for bone tissue engineering is the requirement of porous structure along with the regeneration properties. Identification of material with suitable biological and mechanical properties is a major challenge in the field of bone tissue engineering. In this study, Poly-lactic acid (PLA) and Polyethylene Terephthalate Glycol (PETG) were used as material for the designing of 3D scaffold for bone tissue regeneration. 3D scaffold designs were modeled by using PLA and PETG materials with different shapes using rhino software. The mechanical properties of designed 3D scaffold models were simulated and analyzed by using Ansys software. Based on the simulation, the suitable designs of both PLA and PETG materials were selected. The selected 3D scaffold designs were fabricated using fused deposition modeling (FDM) technique. The fabricated 3D scaffold designs were analyzed based on its porosity; the suitable material was identified as PLA while compare with PETG. Therefore, it was concluded that PLA will be the suitable material rather than PETG for the application of bone scaffold.

A Review Article of Load Balancing in Higher Voltage Power Distribution
Authors:- Student ME (HVPS) Jitendra Kaushal, Asst. Prof. Sudeep Kumar Mohaney

Abstract- Power quality studies for distribution networks are very important for future network expansions realized by utility companies, so the accuracy of such studies is critical. Load data, including information on load imbalance, could have in many situations a significant influence on the correct estimation of many power quality indicators. This paper investigates the impact of load imbalance on several phase imbalance indicators and voltage quality indicators by comparing the values of these indicators, as calculated in a power quality study using, sequentially, different sets of load data characterized by different load imbalances.

Webvibe: A Secure Webchat Application
Authors:- Prof. Amrita. A. Shirode, Riya Demapure, Atharva Katurde, Mohit Dhande, Awantika Jadhav

Abstract- Instant messaging is a set of communication technologies used for text-based communication between two (private messaging) or more (chatroom) participants over the Internet or other types of networks, byproviding an alternative to telephone and email conversations. The number of users using Messenger products like WhatsApp, Telegram has been increasing over recent years. Messenger services allow effective and efficient communication, allowing immediate receipt of replies. People of all ages log into messenger services to spend time chatting with known and unknown persons. Similarly, our project aims to develop a client-server java chat application with security in mind. The use of Encryption and decryption algorithms forms part of this project whereby messages exchanged between client and server are encrypted and decrypted with asymmetric private keys.The project overview that shows the structure of the project design is depicted in the introduction part of this document.

A Review of the Ranque – Hilsch Vortex Tube and Counter flow Tube
Authors:- Praduman Kumar Yadav, Prof. Dr. Anil Kumar

Abstract- As a working fluid, compressed air or gas could be used in the Ranque–Hilsch vortex tube to make cold and hot air or gas streams at the same time. This is because there are no moving parts in the device. How much energy and flow separation happens in a vortex tube is very dependent on things like the shape and number of nozzles, the diameter and length of it, the inlet pressure, the control valve, the diaphragm hole size, and the amount of cold mass that’s in the flow at the start. In a vortex tube, there is a lot of energy separation and flow patterns that haven’t been explained well by any researcher. A computational study of vortex tube flow and energy separation will help us learn more about the physics and mechanisms involved. Many scientists used computational fluid dynamics to look at the vortex and get a better idea of how the flow separates.

Comparison of Performance of Natural and Chemical Coagulant and Blend of these Coagulant`
Authors:- Swaraj Bharti, Asst. Prof. Dr. Shailza Verma

Abstract- Natural coagulants have shown their coagulation efficiency as reported in a substantial number of research papers. But still the use and widespread application of natural coagulants in the water industry for water treatment is low. Because the lack of knowledge and availability of time. Health problems caused by chemical coagulant have been in news for several time; various reports have mentioned the direct and indirect toxic effects of metal in the form of tumours, Alzheimer and allergies and mouth burning by the use of alum. Natural coagulants have been increasingly popular in the past few years due to their benefits and the fact that it resolves most of the associated problems when using chemical coagulants. Glycine max and blend of alum with aloe barbadensis and glycine max are used as coagulants in this study in place of regularly used chemical coagulants to reduce the turbidity of synthetically prepared turbid water of 100 NTU. The tests were carried out using jar apparatus to determine the optimum dose of natural coagulant. Different concentration of the stock solution is prepared and mixed in synthetic turbid water in different quantity and we get the efficiency of the glycine max, blend of alum with glycine max and blend of alum with aloe barbadensis were 88.6%, 90.4% and 91.8% respectively. The effect of the natural coagulant on other water quality parameters such as pH, hardness, alkalinity, electrical conductivity etc was also found out. The use of natural coagulants is easily available that’s why it is cheap in the local area where test is carried out in India, and environment-friendly approach for waste-water treatment as observed in this study.

Image Defogging and Quality Assesment
Authors:- Yarlagadda Vyshnavi, Inapanurthi Swarupa, Yalamarthi. Sireesha, Mupparaju. Venkata Aparna

Abstract- Images captured in foggy weather conditions often suffer from bad visibility. Under bad weather conditions is prone to yield image with low contrast, faded color, and overall poor visibility. Dehazing can significantly improve contrast, correct distortion, remove unwanted visual effects/ and therefore enhance the image quality.

Hybrid Deep learning CNN-LSTM Model for Diabetes Prediction
Authors:- Mahadeo Bhopte, Manish Rai

Abstract- Diabetes mellitus is a high-risk medical disease in which blood sugar levels are too high. It is a major cause of death worldwide. According to the increased morbidity in recent years, in 2040, the world’s diabetics will reach approximately 642 million, which means that one in ten adults will suffer from diabetes in the future. There is no doubt that it draws considerable attention to this troubling amount. Machine learning has been extended too many areas of medical health through the exponential advancement of machine learning. A lot of data mining and machine learning techniques have been applied to diabetes datasets for disease risk prediction. The purpose of this paper is to review these machine learning techniques based on the performance measures and characteristics of the methods. The Pima Indian Diabetes dataset, taken as part of the study, includes 768 patients, out of which 268 patients are diabetic and 500 patients are under control.

A Review on Compact Agricultural Harvester and Its Cutting Blade Geometries
Authors:- Associate Prof. R. R. Gawande, PG Scholar D. V. Kite, Asst. Prof. B.V. Lande

Abstract- Harvesting is the process of gathering a ripe crop from the fields. The automatic combine harvesters are used in most part of the world for harvesting grains. These automatic harvesters are not suitable for the farmers who have small land typically less than 2-3 acres. Thus, it is important to develop the small harvester which is considerably cheaper and more accessible to the farmers who have small land. The objective of this paper is to review the efforts made by various researchers to develop the small and compact harvester for the farmers and modify the geometry of the cutting blade of harvester.

Corona Virus Impact Trend, Pattern and Problem of Tourism in Uttarakhand State (India)
Authors:-Asst.Porf. Dr. Amar.latta,Research Scholar Shagun Shotrya, Asst.Prof.Dr.Rajendra Singh Negi,Dr. Sunesh Kumar Sharma Team Leader

Abstract- Tourism is the backbone of Uttarakhand Economy. Uttarakhand has been many pilgrims annually from the time ofimmemorial. The people have now understood the power of tourism as an option for economic development and social development. Uttarakhand’s tourism growth can be depending on many factors. Most of the tourist attracting towards the Uttarakhand and people are coming not from the India but from the other countries. Uttarakhand is known as the spiritual and adventure tourism place of the country. Uttarakhand state is one of the traditional and powerful competitors in international tourism market. It has natural resources, beautiful mountains, rich cultural heritage, forests, agriculture, Industry, multi-culture and diversity of people of plains and hills, weather variations in different districts.

Fraudify: A Secure Open Banking Platform
Authors:- Surya Suresh, Debasis Chakraborty

Abstract- Fraudulent Activity is a major problem faced by many fields mainly in financial sector. The fraud transactions are performed to buy goods without paying, to get unauthorized access to account and transfer money with account holder’s acknowledgement. Ensuring secure authentication can prevent the system from security breaches. Behavioral Biometrics has increasing demand in digital industry as it helps identify the original user and fraudsters by analyzing the behavior that a person possesses. The project incorporates the traditional authentication such as personal identification number along with different advanced biometric authentication such as face recognition, keystroke dynamics, mouse dynamics and geographic location acts like a strong filter to identify the original user to access the system.

Analysis of Renewable Energy NPC Charging Battery Storage System
Authors:- M.Tech. Scholar Saurabh Kumar Patel, Asst. Prof. Vinay Pathak

Abstract- This paper introduces a grid-connected solar photovoltaic (PV) system and battery storage, which is implemented using a three-level neutral-point-clamped (NPC) inverter. A new simplified space vector PWM method for a three phase three level inverter is to be proposed. The number of switching states is a larger number in case of three-level inverters as compared with a two-level inverter. In the proposed scheme, three-level space vector PWM inverter can directly use. This control algorithm will be used to control power delivery between solar PV, and grid. It also has the capability of MPPT. The proposed control topology can generate the correct AC voltage under unbalanced DC voltage conditions by using a vector modulation technique. It can also control the charging and be discharging of battery storage systems in different levels of solar irradiation. In this project area, a three phase three-level inverter using space vector modulation strategy has been modeled and simulated. Simulations are done using Matlab Simulink.

Review Paper on Automatic Car Parking Brake System Using Hydraulic Brake Circuit in Any Four Wheeler
Authors:- Prof. E.Manjaerkar, Siddhesh Belnekar, Parag Dicholkar, Aniket Gaonkar, Nishant Gaonkar

Abstract- A parking brake is an important tool in any automotive parking system. The parking brake system is designed toused the basic hydraulic system or circuit present in the four wheeler itself. The mechanical hand brake system is quite difficult for the driver to use. However the present designed circuit operates on an additional use of a small ‘ON-OFF’ switch to apply parking brake to the vehicle or refuse the parking brake. It comprises of hydraulic master cylinder, high pressure parking, wheel cylinder, disc brake, solenoid valve and ‘ON-OFF’ switch.

IOT Network Malicious Session Detection by KNN and MothFlame Optimization Algorithm
Authors:- M.Tech.Scholar Rakhi Sarathe, Asst. Prof. Sumit Sharma

Abstract- IOT network increases the comfort of human life in various measures. This growing network attract many intruders to attack on the system hence security of IOT devices is major concern these days. This paper has proposed a IOT network intrusion detectin system that detect the session into attack and normal class. Moth flame optimization genetic algorithm was used in the work for slection of features for identifying the class representative sessions. Identification of class session was done by K-Nearest Neighbour. Expeirment was done on real dataset and result shows that proposed model Moth Flame based IOT Network Security (MFIOTNS) has improved the work efficiency optimizing various evalautin parameter values.

A Review On Six Sigma And Dmaic Problem Solving Methodology
Authors:- Asheesh Kurmi, Prof. Mukesh Singh Baghel

Abstract- In today’s competitive world, customer wants perfection and there is no room for error. Delighting the customer and new ways to exceed their expectations is requirement of today’s business world. Six sigma helps to achieve this goal. Six sigma is a highly disciplined process that helps us focus on developing and delivering near-perfect products and services. Six sigma helps us to reduce deviation in process and keep them within acceptance limit.

Fault Ride Protection of the Motor-Generator Pair System for Renewable Energy Systems
Authors:- M.Tech. Scholar Saurabh Vishvakarma,Prof,Alka Yadav

Abstract- Now days the world has reached to a point when integration of renewable energy sources like the wind energy, solar energy etc. with the electricity grid of the country will have a greater role As such when the global warming rate has reached to distressing rate in the world. Also there will be problems while implementing the connection of wind turbines and any other renewable energy sources with grid. One of the problems related to this is called ‘Fault ride through disturbances’ this work proposed asynchronous Motor and Generator Pair (MGP) system as a probable solution for the integration of renewable energy to recover inertia and improve network stability. In this work analyze briefly the Fault Ride Through scenario of wind energy conversion system (WECS) and solar system with this work establish the Dynamic Voltage Restorer (DVR) configuration or manage strategy. To compensate for power for each phase disjointedly, a closed loop PI manage law is proposed in d-q reference frame. The proposed technique provides fast response and effectual case recompense functions and run a MATLAB/SIMULINK simulation of such type of Low Voltage Fault Ride through Scenario, as well as analyzing the results.

A Review Of Electro Discharge Machining (Edm)Technique analysis
Authors:- Mohit Kumar, Prof. Dr. Anil Kumar

Abstract-Electro Discharge Machining, or EDM, is a machining technology that is usually used to produce objects out of hard metals or things that cannot be made any other way. As a result, one of the most important non-traditional machining methods is electro discharge machining (EDM). It is used to cut difficult-to-cut materials such as composites and intermetallic materials. This is analogous to an electrical short that burns a small hole in the metal that it comes into contact with. The spark erosion in EDM is the same piece. Both the work piece material and the electrode material must be able to conduct electricity in order for the EDM process to work. EDM allows you to create complex profiles utilised in prosthetics and other biomedical applications, such as a heart valve. Electro Discharge Machining (EDM) can also be used to create complex forms, small holes with high precision, and high-strength metals that can endure high temperatures. This study examines some of the most innovative work in the field of EDM. It also allows the EDM to expand in the future.

Performance and Degradation Analysis of Adaptive Reference MPPT Algorithm for Solar Power System
Authors:-M. Tech. Scholar Rahul Rana, Guide Abhishek Dubey, Head Dr. Shweta Chourasia

Abstract-To maximize solar Photovoltaic (PV) output under dynamic weather conditions, Maximum Power Point Tracking (MPPT) controllers are incorporated in solar PV systems. Implementing the MPPT algorithm through digital controllers is easier if it is possible to minimize error functions. The differences between the various MPPT techniques are very slight and they can be evaluated according to the situation. In this work a modified version of adapative reference voltage algorithm has been designed. The model has been simulated in MATLAB/ SIMULINK environment. The modeling of adaptive reference PSO based MPPT algorithm has resulted in considerable improvement in the power output from the PV module. The power output with adaptive reference PSO MPPT algorithm at the load terminal has improved from 3959 Watts to 4969 watts approximately.

Study on Electrical Waste and Plastic Waste in Stabilizing Road Constriction
Authors:- Marri. Vandana, S. Arun Tejadhar Reddy

Abstract- Nowadays with the increasing population usage of electronic applications increased and once the device is used it is either refurbished, reused, or discarded. The discarded electrical waste turns to be called E-Waste whose disposal is very difficult. This waste grows annually at a rate of 3-4% and in which 15% is only been recycled. According to the data around 2021, we will generate 52.2 million tonnes per annum of E-Waste. E-waste recycling becomes difficult due to the Presence of flame retarder and around 20% of plastic material in it.The current review helps to understand how this hard to recycle E-waste can be used in stabilizing and strengthening Indian roads.

A Review Article Novel Approach to Design of Solar Plant with Connected to a Non- Linear Motor Load
Authors:-Dheeraj Kumar, Professor Arun Pachori

Abstract- The increasing application of nonlinear loads may cause distribution system power quality issues. This work presents a control of Single-phase Grid Interactive Inverters with nonlinear loads and a technique for Harmonic compensation and power factor correction of nonlinear loads employing Current Controlled Voltage Source Inverter. This work will focus on the design methodology and the analysis of control strategy which allows the compensation of harmonics and phase displacement of the input current, for non-linear loads. The Utility-Connected Inverter should operate at both Stand-alone and Grid-Connected modes. However, the waveform qualities of the grid current in GridConnected mode and the output voltage in Stand-alone mode are poor under the nonlinear critical load with the conventional control. The impact of the nonlinear load on the grid current is analyzed. Harmonics problem in industrial power systems with non-linear loads are presented. By adding the load current into the filter inductor current loop, the influence of the nonlinear load on the grid current can be eliminated, and the waveform quality of the output voltage in stand-alone mode can be improved. The control method is simple and easy to be achieved. Simulation results from a Full-bridge Grid-Interactive Inverter with a Diode Rectifier load verify the theoretical analysis.

Seismic Analysis and Comparison Of Is 1893:2002(Part-1) and Is 1893:2016(Part-1)
Authors:- Khot Rakesh, Khule Omkar, Bhise Pratik, Didpaye Suyog, Mrs. Kale S.

Abstract- This study as a whole makes an effort to evaluate the effect of plan irregularity on RC buildings using IS 1893:2002 and IS 1893:2016 in terms of dynamic characteristics. Considerable improvement in earthquake resistant design has been observed in recent past. As a result, Indian Seismic code IS 1893 has also been revised in year 2016, after a gap of 14 years. This paper presents seismic load estimation for multi-storey buildings as per IS:1893-2002 and IS:1893-2016 recommendation. The scope behind presenting the project is to learn relevant Indian standard codes are used for design of various building elements such as beam, column, slab, foundation, and staircase using software STAAD-PRO.

Static and Modal Analysis of Metal Matrix Composite Based Propeller Shaft
Authors:-PG Scholar Senavaraiyan S, Prof. Dr. S. Ayyappan

Abstract- The main goal of this project is to analyze metal matrix composites’ based a propeller shaft. In this project, it was attempted to determine the appropriateness of a hollow propeller shaft by altering the interior diameter. The CAD software was used to produce a model of the propeller shaft. The design optimization also showed significant potential improvement in the performance of the propeller shaft. ANSYS software was used to perform the static and modal analyses. The obtained results were compared among the selected materials. The achievement of weight reduction with an adequate improvement of mechanical properties has made composite a very good replacement material for conventional steel without an increase in cost or decrease in vehicle quality and reliability.

A Hybrid Online Compiler
Authors:- Chaitra B V,
Patil, Associate Prof. Dr. S Anupama Kumar

Abstract-While learning various languages, some of the common problems experienced by them included installing compilers and setting paths.. In order to minimize system resources, the programming language should be stored in a directory where it can be accessed without installing any software. Online Compiler is a web tool that enables people to modify and execute code without requiring any software.A remote user can create programs and compile them from the servers.Online Compiler proposed system’s main idea is to help students who want to learn programming language without installing a compiler in their system. This application works on the web which works online. Various testing has been done for the proposed system and the implementation of the proposed system was carried out successfully.

Review of Image Processing Technique for Glaucoma Detection
Authors:- M. Tech Scholar Akanksha Singh Patel, Assistant Professor Mr Varun Singh

Abstract- The review paper describes the application of various image processing techniques for automatic detection of glaucoma. Glaucoma is a neurodegenerative disorder of the optic nerve, which causes partial loss of vision. Large number of people suffers from eye diseases in rural and semi urban areas all over the world. Current diagnosis of retinal disease relies upon examining retinal fundus image using image processing. The key image processing techniques to detect eye diseases include image registration, image fusion, image segmentation, feature extraction, image enhancement, morphology, pattern matching, image classification, analysis and statistical measurements.

A Survey Paper on Weed Detection
Authors:- Pradnya Nikam, Kartiki Borage, Shreyash Lokhare, Shraddha More, Prof. Sinju Saliya

Abstract- Weeds are basically the plants that are not sown at a particular place, they grow naturally but they are unwanted. Weeds compete with the crops for water, minerals, light, space which eventually leads to reduction in yield of crops. So, it is important to manage and monitor them. The main objective is to develop a weed detection system based on Convolutional Neural Network (CNN) so minimum spraying of pesticides can be done on the areas of weed and maximum spraying of pesticides can be done on areas of crops. In this paper CNN technique is reviewed. In CNN models, the input image passes through series of convolution layers which has filters i.e. Kernels and apply ReLU activation to the matrix. Then pooling is performed to reduce the dimensional size and flattened output is fed into a fully connected layer (FC layer). Finally the output is classified as weed.

A Hybrid Online Compiler
Authors:- PG Students Chaitra B V, Chetan Patil, Dr. S Anupama Kumar

Abstract-While learning various languages, some of the common problems experienced by them included installing compilers and setting paths. In order to minimize system resources, the programming language should be stored in a directory where it can be accessed without installing any software. An online Compiler is a web tool that enables people to modify and execute code without requiring any software. A remote user can create programs and compile them from the servers. Online Compiler proposed system’s main idea is to help students who want to learn programming language without installing a compiler in their system. This application works on the web which works online. Various testing has been done for the proposed system and the implementation of the proposed system was carried out successfully.

Static and Modal Analysis of Metal Matrix Composite Based Propeller Shaft
Authors:- PG Scholar Senavaraiyan S, Prof. Dr. S. Ayyappan

Abstract- The main goal of this project is to analyze metal matrix composites’ based a propeller shaft. In this project, it was attempted to determine the appropriateness of a hollow propeller shaft by altering the interior diameter. The CAD software was used to produce a model of the propeller shaft. The design optimization also showed significant potential improvement in the performance of the propeller shaft. ANSYS software was used to perform the static and modal analyses. The obtained results were compared among the selected materials. The achievement of weight reduction with an adequate improvement of mechanical properties has made composite a very good replacement material for conventional steel without an increase in cost or decrease in vehicle quality and reliability.

Study and Comparison of Z-Source Inverter with Traditional Inverters
Authors:- Research Scholar Prem Nath Jaimini, Prof. Viany Pathak, Prof. Namrata Sant

Abstract- This paper displays an impedancee hotspot inverter to A. C electrical drives. The impedance sourball inverter utilizes a interesting impedance system couple for inverter primary circlet rectifier. By regulating the shoot-through obligation cycle, that z-source inverter framework utilizing MOSFETS furnish ride-through ability throughout voltage sags, lessens offering harmonics, enhances force variable and secondary reliability, and extends yield voltage extent. Analysis, simulation, Also test comes about will be exhibited should show these new Characteristics. It diminishes harmonics, electromagnetic obstruction clamor it need low basic committed commotion.

Blockchain Based Decentralized Voting System
Authors:- Shrey Garg, Deepak Kumar, Saroj Kumar Manna, Simran Chauhan, Dr. Rani Astya

Abstract- It’s always been a challenge to create a new voting system keeping in mind at the same time,of the legal factors that are associated with it. The old systems, the old computer technology has been proven vulnerable to threats and hence the need for new technology has risen exponentially. Block chain as a technology has many benefits over its existing methods. And hence we are aiming to test these features of blockchain in our electronic voting system. We propose a new block chain-based decentralized electronic voting system which deals with all the discrepancies, all the shortcomings of the existing voting system.

Studies on Development of Process Technology for Preparation of Ready-To-Cook (Instant) Carrot Dessert (Halwa) Incorporated with Stevia
Authors:- Kokani Ranjeet Chunilal, Amol Annasaheb Dabhade

Abstract- The present investigation entitled “Studies on formulation and preparation of Ready-to-cook (Instant) Carrot dessert (Halwa) incorporated with stevia” was carried out in Department of Food Processing Technology. The aim to prepare carrot instant dessert (Halwa) incorporated with stevia to provide more nutrition and low calories to fast way of cooking food rather than spending too much time on cooking. The formulation was made with dehydrated carrot-based product along with other ingredients like milk solids, stevia, coconut, dry fruits. The product has gained its importance because of its taste, flavour, it contains no sugar, nutrition, health benefits and sweet taste to the consumers. The purpose of this research was to provide tasty, delicious, and nutritive food dessert for those peoples who is suffering from sugar problems as well as normal people in affordable price. The developed carrot instant dessert (Halwa) incorporated with stevia was subjected to sensory evaluation it showed that T2 sample is more superior to others. For preparation, all ingredients are mixed and packed in laminated aluminium pouch. The proximate compositions of carrot instant dessert (Halwa) incorporated with stevia were moisture content (7.26 0.05%), fat (3.06 0.06%), protein (11.76 0.05%), carbohydrate (76.20 0.09%), energy (378.66 Kcal) and ash (4.36 0.05%). carrot instant dessert rich in Carbohydrate. It was concluded that carrot instant dessert stored for 6 months in laminated aluminium pouches. So, it can be satisfying the consumer.

Veggie Basket an E-Commerce Store
Authors:- Mr. Gorakh Chavan, Mr.Shubham Lamkhade, Ms.Priyanka Kute, Mr.Saurav Jambhulkar, Prof. Rashmi Tundalwar

Abstract- In recent years, Information and Communication Technologies (ICT) have gained importance for education and training at all levels. In this context, with the use of ICT, the learning method called E-learning is empowered. There are several modalities of E-learning, but when one of these modalities focusses on companies and institutions that wish to improve the training of their employees it is called E-Learning in the workplace. E-Learning in the workplace, as an emerging approach to improving the skills of employees, has been chosen by some organizations for the advantages it offers. However, implementing E-Learning in the workplace is a challenge due to several barriers that limit its success. This work focuses on one of the barriers, which is the lack of relevance of learning resources for the tasks that employees carry out in their workplace. For this work, a learning resource is considered as relevant for training when the resource contains or refers to elements in the description of a task that is performed in an organizational process.

Overfitting Vs Underfltting: Reat Illustration
Authors:- Pradeep Bolleddu

Abstract- In this contemporary era,In the core field of Machine learning, We Have to determine the performance of data model in the case of underfitting (High bias and low variance), When the model has not learned enough from the training data which results erratic predictions and low gen-eralization, It can be avoided by using more data by reducing features using feature selection method. In the Over-fitting (High variance and low bias) J6] When the model gets trained with huge data, lt may cause noise give inaccurate data entries in data set, So to avoid overfitting, we can use linear algorithm and by increasing training data by reducing model complexity [Use Ridge regularization lasso regularization.

Review Paper on Design and Analysis of Composite Drive Shaft
Authors:- Asst. Prof. Pawar P. S

Abstract- In automobile in day to day running number of components were worn out or failed due to some material physical and mechanical properties or their compositions. This project deals with the design and material optimization of an automobile component. For this purpose, the drive shaft is selected in which both material and design optimization is being conducted. In this firstly prepare the Creo software based model of propeller shaft and then will be import in ANSYS for FE analysis. Then the design of this shaft is altered and analyzed under same material and boundary conditions. Now this modified shaft analyzed with composite material under same boundary conditions.

Analysis of Helical Compression Spring Used in Two Wheeler Suspension System
Authors:- Asst. Prof. Mr. Amit G. Hejib

Abstract- The helical compression spring used in two wheelers is belonging to the medium segment of the Indian automotive market. The detailed assessment of the problem of two wheeler suspension spring is studied. Most of time springs were failed due to raw material defects, surface imperfection, improper heat treatment, corrosion and decarburization and high weight of suspension. These problems can be solved by applied thick layer of paint as adhesive, proper heat treatment, change in shape and material of helical compression spring. In this work, the spring rate can be increased by change in structure i.e. change in number of active coils of spring. The static stress analysis using finite element method will be validating by experimental validation.

A Review Article of Comprehensive Observation of Highways Construction, Planning and Scheduling Using Sampling Method
Authors:- Nagendra Pratap Singh Kachhawah, Vinay Deulkar

Abstract- A highway system serves a set of objectives, for example, arrangement of an adequate level of service, preservation of the office condition, safety, economic development, and others. It comprises of a number of physical facilities, for example, pavements, bridges, roadside elements, and traffic signal devices. The system is managed through operational elements of a highway agency, for example, arranging, design, construction, maintenance, etc. The highway system would thus be able to be envisioned in terms of a three dimensional lattice of objectives, facilities, and capacities, all of which interact with each other. The current trend of developing separate management systems for pavements, bridges, and maintenance activities is a piecemeal methodology, because it ignores the needs of the all out system. Consequently, many current systems are either clashing or involve duplication, or both. Instead, singular management subsystems, for example, planning management, bridge management, and maintenance management, ought to be developed in propercoordination with each other and with a clear understanding of the requirements of the complete system.

Studies on the Green Civil Building’s Gradual Development Strategy
Authors:- Research Scholar Rajarajeswari.C, Professor Anbalagan.C

Abstract- Green civil building development is an effective technique to deal with the housing industry’s resource shortages and pollution.According to an examination of the characteristics of green civil construction, four strategies should be used: policy gradualism, technical gradualism, environmental adaptability gradualism, and environmental aware gradualism.The green civil building’s steady development approach should be separated into three stages, each with its own aim.The conclusion has been formed that the “S”-type greening asymptotic curve development model is scientific and can meet the criteria of multi-objective optimal due to the thorough assessment of internal demands and external stress at various stages.

Green Building Material: Eco Friendly Aspects in Residential Project, Tamilnadu
Authors:-Research Scholar Rajarajeswari.C, Professor Anbalagan.C

Abstract- Green building materials are main factor when it comes to Eco homes. This paper focuses suggesting eco friendly green material for a residential project and its importance. It helps in optimizing 15-20% of total running cost on electricity, by enhancing micro climate, use of more naturally available local material with respect to climate. As a result of bringing in fewer toxins to environment, reduced carbon emission homes and sustainable living.

A Web-based Plant Health Classification System
Authors:- PG Scholar Ankit Kumar, PG Scholar Ashish Bhardwaj, Associate Prof. Dr. S Anupama Kumar

Abstract- Identification of the plant diseases is the key to preventing the losses in the yield and quantity of the agricultural product. Monitoring and detection of plant disease is very critical for sustainable agriculture. It is very difficult to monitor the plant diseases manually. It requires tremendous amount of work, expertise in the plant diseases, and require the excessive processing time. Detection of plant disease involves the steps like image acquisition, image pre-processing, image segmentation, feature extraction and classification. Plant disease identification by visual way is a tedious task and less accurate and can be done only in limited areas. If automatic detection technique is used it will take less efforts, time and gets more accurate. In plants, some general diseases seen are brown and yellow spots, early and late scorch, and others are fungal, viral and bacterial diseases. Convolutional Neural Network (CNN) model used for apple leaf disease detection and classification. The dataset used in proposed system consist of 3642 images of apple leaves. Proposed system includes splitting the dataset into test data and training dataset. Conv2d neural network applied to train the CNN model. Model Achieved 90.2% accuracy with 30 epochs.

A Survey on Data Mining Techniques for Analysis and Prediction of Heart Diseases
Authors:- Research Scholar Sugendran G, Asst. Prof. Dr.S.Sujatha

Abstract- A classification is one of the most important and beneficial techniques. whenever interacting with a huge amount of data, order methods are highly beneficial. to forecast all of the class names, an arrangement is being used. recently accessible data is commonly represented by a class name in grouping models. segmentation is the very first step towards developing a model which describes and identifies data. analysis refers to the process of describing a model that shows and identifies data categories or concepts. description techniques can deal with both mathematical and obvious attributions. building fast and accurate classifiers for large datasets is a crucial task in data mining and data breaches. grouping predicts understandable class names and classifies data based on the preparation set. classification is a two-stage process. we propose a study of several data mining arrangement strategies such as decision tree, k-nearest neighbour, support vector machines, naive bayesian classifiers, neural networks, and random forest in this article.

Image Defogging and Quality Assesment
Authors:- Yarlagadda Vyshnavi, Inapanurthi Swarupa, Yalamarthi. Sireesha, Mupparaju. Venkata Aparna

Abstract- Images captured in foggy weather conditions often suffer from bad visibility. Under bad weather conditions is prone to yield image with low contrast, faded color, and overall poor visibility. Dehazing can significantly improve contrast, correct distortion, remove unwanted visual effects/ and therefore enhance the image quality.

Enhancing Diabetes Mellitus Prediction with Machine Learning Techniques
Authors:- Mrs. S. Sangeetha, P Kowsika, M Swathihasree, K.Shalini, K.Kokila Lakshmi

Abstract- Diabetes is a chronic metabolic condition that affects millions of individuals globally and can have serious long-term health effects if left untreated. Diabetes is a fast growing worldwide health issue that needs to be identified early and managed well to avoid serious consequences. Conventional diagnosis techniques depend on intrusive blood testing and clinical assessments, which can be costly, time-consuming, and unavailable to many. In order to identify at-risk individuals in a non-invasive, economical, and real-time manner, this project intends to create an AI-driven diabetes prediction system utilizing machine learning techniques. The technology improves patient outcomes and lowers the risk of complications by utilizing predictive algorithms to enable early diagnosis. Due to a lack of early symptoms or restricted access to medical facilities, many people go untreated. By providing automated, data-driven predictions that help patients and medical professionals assess risk, machine learning algorithms can close this gap. This device can revolutionize diabetes screening and enable people to take preventative action before the disease progresses.

DOI: 10.61137/ijsret.vol.8.issue1.198

Published by: vikaspatanker