-74813b3e17f460286df-4bfa 20220414073151676 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 05 30 2020 9 7 Associate Professor Faculty of Computer Applications, Manav Rachna International Institute of Research and Studies, Faridabad,India. Dr. Shaveta Bhatia* Harshit Popli (Student) Faculty of Computer Applications, Manav Rachna International Institute of Research and Studies, Faridabad ,India. Mitali Jain (Student) Faculty of Computer Applications, Manav Rachna International Institute of Research and Studies, Faridabad,India. Definition: - Computer crime is an offence or an attack done by the third party or the individual or group of people. It may be done in terms of many possible reasons like to steal some crucial information or data or money and all that possible things that may affect the victim mentally, financially or physically. Resources: - Internet, phone, hardware devices. Effects: - The coders may pollute some sort of codes which termed as viruses in the computers of the country men and may affect the security of the people at a very nominal grade but this is not all, it may also affects the norms and the rules of the organizational companies and may steal their crucial information. These types of people are termed as HACKER in the context of Cyber Security They also have an adverse effect on the economy of the country as the country may not have the proper rules and the cyber experts for securing of data and in that type of country no businessman may invest . Securing yourself: - Actually the computer polluters are the well-known people who have good enough knowledge of their work but we can still get out the attack held on us by using some precaution and using the proper paid and genuine antivirus as an survey has declared that in 58% of pc’s people have viruses due to their unpaid and local antivirus. 05 30 2020 1279 1283 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5623.059720 https://www.ijitee.org/portfolio-item/G5623059720/ Professor, Department of Electronics and Communication Engineering, Lendi Institute of Engineering and Technology, Vizianagaram, India. Siripurapu Sridhar* K. Mounika B. Tech, Department of Electronics and Communication Engineering, Lendi Institute of Engineering and Technology, Vizianagaram, India. M. Anjali B. Tech, Department of Electronics and Communication Engineering, Lendi Institute of Engineering and Technology, Vizianagaram, India. G. Venkatesh B. Tech, Department of Electronics and Communication Engineering, Lendi Institute of Engineering and Technology, Vizianagaram, India. M. Murali Krishna B. Tech, Department of Electronics and Communication Engineering, Lendi Institute of Engineering and Technology, Vizianagaram, India. Advanced strides of improvement in programmable logic density, enhancements in speed and hardware description language (HDL) are empowering design engineers to implement highly performing and testable digital systems. Linear feedback shift registers (LFSR) are the critical elements in the testing and self testing of contemporary complex electronic systems like processors, Built-in-self-test (BIST) controllers and integrated circuits (ICs) etc. Fundamentally BIST is a Design-for-Testability (DFT) technique meant to configure testing functions physically with the circuit under test (CUT). To enhance the percentage of fault coverage as a part of BIST operations (testing the IC), LFSRs are deployed (as test pattern generator) to generate the test vectors inside logic BIST for testing digital systems. Proposed work is focused upon designing a fast adder based variable length pseudorandom binary sequence pattern generator (PRBSPG) and experimental validations. LFSR possess characteristics of high speed, better encoding efficiency, high fault coverage, low test volume data and low power consumption specially suitable in processing environment where uniform distribution random numbers are required. Verilog HDL is employed for structuring the modular design units while Xilinx ISE tool is deployed for validating the proposed LFSR design work and associated modular units. 05 30 2020 812 820 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5624.059720 https://www.ijitee.org/portfolio-item/G5624059720/ Department of Electronics and Telecommunication, Army Institute of Technology, Savitribai Phule Pune University, Pune, India. Anshu Banerjee* Ananya Tewari Department of Electronics and Telecommunication, Army Institute of Technology, Savitribai Phule Pune University, Pune, India. Dr. Renuka Bhandari Department of Electronics and Telecommunication, Army Institute of Technology, Savitribai Phule Pune University, Pune, India. In any democracy, elections play an important role. If the traditional Electronic Voting Machine (EVM) is secured by encryption, it could be made more reliable. Traditional voting process provides security through the use of a paper audit trail which is not environment friendly making it unfit for use in the long run. This paper proposes the use of Blowfish algorithm for encryption along with secure transmission using radio frequency and verification of the cast vote. In this approach, the cast vote is encrypted using Blowfish encryption algorithm and transmitted to the server through radio frequency. At the server, the data is decrypted and sent back to be displayed on the screen of the EVM, eliminating the paper audit trail. This approach will account for a considerable amount of cost reduction without compromising on the security and sanctity of the election process. 05 30 2020 842 846 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5626.059720 https://www.ijitee.org/portfolio-item/G5626059720/ Assistant Professor, Department of Computer Science and Engineeirng, Rajalakshmi Engineering College, Chennai. Ms.A. Cibi* Dr.R. Jemila Rose Associate Professor, St.Xavier's Catholic College of Engineering, Nagercoil. Convolutional Neural Network CNN) is one of the deep learning algorithms. It is useful for finding patterns in images. Intelligent software automates understanding images and speech. Extracting distinct features, by their own induces intelligent to software for identifying objects, recognizing faces and diagnosing diseases from medical images. With the help of CNN, software on their own acquires the knowledge of patterns from raw data. These developments play a prominent role in medical imaging. Classification, Segmentation and diagnosing are the area where CNN marked its importance. About CNN there has been a large array of improvements achieved in the last few years. We provide a short overview of the role of CNN in medical image analysis. A shallow CNN model is proposed as an automatic diagnosing system. This work specifically concentrates on three key elements: (1) building blocks of convolutional neural networks (2) introduction of various CNN architecture; (3) Challenges in implementing CNN for analyzing medical images. 05 30 2020 687 691 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5629.059720 https://www.ijitee.org/portfolio-item/G5629059720/ Associate Professor, Department of Mechanical Engineering, Godavari Institute of Engineering and Technology (Autonomous), Rajahmundry, AP, India. Mrs.E.Nirmala Devi* V.Dinesh Bharagv Department of Mechanical Engineering, Godavari Institute of Engineering and Technology (Autonomous), Rajahmundry, AP, India. Management of Air contamination is most significant issue from the general public health of view, because each distinctive individual breaths around 22000 times each day. Air contamination causes around 7,000,000 deaths per year around the world. Development and convergence of the population in urban communities, just as the manner by which we consume various sources of energy in urban zones through transport or air conditioning and heating systems, among others, causes the emission of harmful gases at huge quantity that are dangerous to people health. Automobile vehicles are a significant pollution contributor, delivering critical measures of carbon monoxide, nitrogen oxides, and other contamination. In 2013, transportation contributed the greater part of the carbon monoxide (CO) and nitrogen oxides (NOx), and one-fourth of the hydrocarbons (HC) emitted into atmosphere. These vehicles don't seem to be the only sources of pollution, different sources like power generating stations, Exhaust from industries and factories, refuse burning etc. and also contribute intensely to defilement of our environment. So it is crucial that serious endeavors should be made to protect our environment from degradation. In the present study an Aqua Power Generating Silencer is an attempt, in this direction; it is mainly dealing with control of emission, noise & recovery of waste heat from exhaust gases to generate electricity. 05 30 2020 656 662 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5638.059720 https://www.ijitee.org/portfolio-item/G5638059720/ Dept. of Electronics and Communication Engineering,Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, AndhraPradesh, India. G Manmadha Rao* P Sonia Ch Sirisha Dept. of Electronics and Communication Engineering,Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, AndhraPradesh, India. M Vandana, M V S Teja Dept. of Electronics and Communication Engineering,Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, AndhraPradesh, India. P. Durga Srinivas Dept. of Electronics and Communication Engineering,Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, AndhraPradesh, India Automation is the process of monitoring the home that can transform the home from being manual and static to a smart and dynamic one [1]. Life is getting simpler and more comfortable in all spheres with the use of technology and innovation. This paper proposes the Internet of Things (IoT) based home automation using raspberry pi 3 b. This system consists of a smart phone with a mobile application called Blynk which is having home appliances details with switches to ON and OFF the home appliances. We also included Garden irrigation and Gas detection system for less human effort, more convenience and more comfortable to the user for complete home automation. We used MQ-2 gas sensors for gas leakage detection and FC-28 for garden irrigation. In this paper home appliances are controlled through Wi-Fi technology [2]. 05 30 2020 695 698 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5645.059720 https://www.ijitee.org/portfolio-item/G5645059720/ Department of Computer Science & Technology, Guru Nanak Dev University, Amritsar, India. Radhika* Amit Chhabra Assistant Professor, Department of computer Science & Technology, Guru Nanak Dev University, Amritsar, India. Frauds in modern era are cause of concern in almost every field of life. Credit card, money laundering and bank frauds are common and technology has to play important part in overcoming this issue. This paper provides insight into financial frauds leading from malicious users in trading network. To this end several techniques are researched over. To start with price based fraud detection is discussed and then similarity matrix, linear binary patterns, support vector machine and random forest in the field of fraud detection are elaborated. This paper highlights pros and cons of each of such techniques. Dataset required determining classification accuracy of these approaches is synthetically driven. Execution time while determining frauds is critical entity and similarity matrix approach is fast and accurate as compared to random forest, support vector and linear binary patterns. Parameters: Classification Accuracy, Execution time Implementation tool: Matlab 2018 Achievement: support vector machine results are closer to similarity matrix based approach in terms of classification accuracy but execution time of similarity based approach is much less and hence this algorithm is considered better in determining financial frauds. 05 30 2020 663 668 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5651.059720 https://www.ijitee.org/portfolio-item/G5651059720/ Dept of Biotechnology, Karunya Institute of Technology and Sciences, Coimbatore, India Elavinal Aksa Antony Anu Jacob* Dept of Biotechnology, Karunya Institute of Technology and Sciences, Coimbatore, India Polyhydroxyalkanoates (PHAs) are type of natural polymers which are synthesized by different microorganisms to increase their survival rate during environmental change or stress conditions. The biodegradable polymers are an alternative solution to non-renewable petroleum derived plastics. The aim of this study is to produce PHAs by Escherichia coli, Bacillus subtilis and Pseudomonas aeruginosa using agro and industrial waste such as wheat bran and cane molasses. In this work, the effect of different media on each bacterium was studied. The optimum environmental condition that supported the PHA production by the three strains was inoculum concentration of 8%, pH 7.0 and temperature of 30°C. The medium was fermented for five days in orbital shaker. Each day samples were collected and analyzed. Dry cell weight and PHA accumulated was observed for each of the bacteria. On the basis of data obtained in the present work, compared to B. subtilis and E. coli, P. aeruginosa was capable to accumulate 70.27% of PHA by using Cane molasses and Wheat bran as substrate. This could be employed for industrial application after subsequent optimization of the conditions of PHA synthesis. The present study explored the potential of Pseudomonas aeruginosa to produce cost-effective PHA as an alternative to petroleum based plastics. 05 30 2020 950 954 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5670.059720 https://www.ijitee.org/portfolio-item/G5670059720/ Assistant Professor, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology. Hemalatha S* Steffi Great F J Student, BE, Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Tamil Nadu,India. Shweta Dinesh Student, BE, Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Tamil Nadu,India. Soumiya R Student, BE, Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Tamil Nadu,India. Web-based resource management in an enterprise is important because it automates complicated and time-consuming activities directly related to human resource management. Not only does it make the job quicker and simpler for the Human Resource (HR) division but it also eliminates unnecessary manual work and offers an effective way to handle an individual in an organization. This paper is based on a computerized system with advancements primarily related with human resource management to develop a web application deployed over the internet on application server that provides authorized users with access to all information.This framework allows one to use report generation to handle the data with more visualization that ultimately helps in decision making. The system provides various functions such as recruiting employees, managing the payroll, approving leave and measuring biometric hours. It can be classified mainly as Administration Employee Management System (EMS), Timesheet management system (TMS), Leave management system (LMS) and Project management system (PMS). With technology upgrading and the way things are done, the entire organisation's management has become more complex. All organizations opt for a software solution like the proposed system to manage all such key resources, performance, and to assure data privacy and security. 05 30 2020 906 910 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5674.059720 https://www.ijitee.org/portfolio-item/G5674059720/ Department of Computer Science and Engineering Department, SRM Institute of Science and Technology, Kattankulathur, Chennai, India. Harit Ahuja* Shubharthi Dey Department of Computer Science and Engineering Department, SRM Institute of Science and Technology, Kattankulathur, Chennai, India. Bagish Choudhury Department of Computer Science and Engineering De-partment, SRM Institute of Science and Technology, Kattankulathur, Chennai, India. Aishwarya D Department of Computer Science and Engineering Depart-ment, SRM Institute of Science and Technology, Kattankulathur, Chennai, India. Sanvinoth P S S Department of Computer Science and Engineering Department, SRM Institute of Science and Technology, Kattankulathur, Chennai, India. The 2019 novel coronavirus (COVID-19), which has sprawled fleetly among masses residing in distant nations, had a prefatory juncture in China. From both a safeness and a lucrative outlook, it has staggered the world with its hasty diffusion with conjectural vicious generic repercussions for the masses. Consequent to the escalating cases daily, there is a constricted fraction of COVID-19 inspection kits acquirable in healthcare institutions. Ergo, to obviate COVID-19 propagating betwixt masses, it is imperative to enforce an instinctive unveiling network as a prompt jack legging diagnosis appendage. The contemplated method embroils a convolutional neural network- based model, namely ResNet50, concerted with a Fully Connected Layer (FCL), reinforced by Rectified Linear Unit (ReLU) for the unearthing of coronavirus pneumonia imparted sufferer by harnessing chest X-ray radiographs. The endorsed classification model, i.e. resnet50 affirmed by FCL and ReLU, compassed accuracy of 94% for unearthing COVID-19. When equated to diverse classification models, the purported model is preeminent. The aftereffect is premised on the attested X-ray images from the data appropriable in the arsenal of Kaggle. 05 30 2020 699 703 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5684.059720 https://www.ijitee.org/portfolio-item/G5684059720/ PG II-year Student, Department of Civil Engineering, PSNA College of Engineering & Technology, Dindigul, India. Mary Dayana P* Gurumoorthy N Assistant Professor, Department of Civil Engineering, PSNA college of engineering & Technology, Dindigul, India. Vijay T J Assistant Professor, Department of Civil Engineering, PSNA College of engineering & Technology, Dindigul, India. Reinforced concrete (RC) framed structures are widely used as load transferring system in residential and commercial buildings. Even though the RC frames are designed for gravitational and seismic forces, but they are week under severe seismic events. The main disadvantage of the framed structures is inefficient bracing systems designed in it. This investigation is conducted mainly to study the effective bracing system in the RC framed structure to transfer the seismic force. This research aims to study the seismic performance of RC frames influenced by the various types of cross bracings under cyclic loading. The finite element analysis software package ABAQUS is used to investigate the braced RC frames analytically. The research scheme consists of three RC frames; the bare frame, the bare frame with single X-bracing (X frame), double X bracing (D-X frame) along the height. The structural parameters include, load-displacement hysteresis envelope, stiffness degradation and energy absorption were studied to analyze the performance of bracings. The results showed that the X frame and D-X frame noticeably increased the lateral strength, stiffness and energy dissipation properties compared to the bare RC frame. The results also indicated that the addition of X bracing along the height significantly enhanced the structural parameters of the RC frame. 05 30 2020 704 708 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5688.059720 https://www.ijitee.org/portfolio-item/G5688059720/ Computer Science department, PES University, Bangalore, India. Sai Vishwas Padigi Sameer Kulkarni Computer Science department, PES University, Bangalore, India. Phalachandra HL* Computer Science department, PES University, Bangalore, India Dinkar Sitaram Computer Science department, PES University, Bangalore, India. The advent of social media, smart mobile devices and the Internet of Things (IoT) has led to the generation of unstructured data at an astronomical rate, thereby creating an ever-increasing demand for object storage. These object storage systems consume a lot of energy, resulting in increased heat dissipation, greater cooling requirements (which in turn consumes more energy), higher operational costs, and excessive carbon footprint. Although there has been some progress in building energy-efficient disk systems, works on energy-efficient object storage systems are still in the nascent stage. In this paper, we propose SEA: An SSD Staged Energy Efficient Object Storage System Architecture, wherein we introduce a staging layer comprising Solid State Drives (SSDs) on top of the existing object storage system consisting primarily of Hard Disk Drives (HDDs). SSDs not only consume lesser power as compared to HDDs but are also much faster. Leveraging SSDs for staging reduces the number and frequency of requests hitting the object storage system underneath, allowing us to selectively spin down a substantial number of disks without violating any Service Level Agreements driven by Quality of Service requirements while reducing the total disk energy consumption. Given the high-performance characteristics of SSDs, this SSD staging layer significantly enhances the performance of the object storage system as a whole. As a case study, we have modeled this architecture for OpenStack Swift. Our simulation results using a Dropbox-like workload show that, even after factoring in the additional energy consumed by the SSD staging layer, our model was able to reduce the total disk energy consumption by up to 15.235 % and improve performance by up to 29.06 %. 05 30 2020 884 893 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5693.059720 https://www.ijitee.org/portfolio-item/G5693059720/ Department of ICT, Veer Narmad South Gujarat University, Surat, India, Kamlendu Kumar Pandey Veena Jokhakar* Department of ICT, Veer Narmad South Gujarat University, Surat, India, The sensor networks generate immense data and often flood the network traffic with it communication to the cluster nodes and gateways. The enormous data generated has to be analyzed in a uniform manner to extract maximum benefit from the data. The problem is all the sensor nets are on diverse platforms and have different data structure. Effort has been done in this paper to have a uniform sensor data structure and a registry to discover the sensors. A model is proposed with a complete stack of services for the sensor networks. The data service layer is implemented in a practical way with an experimental set up for data gathering and then its analysis by prevalent OLAP techniques with training and validation on trial basis 05 30 2020 955 961 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5695.059720 https://www.ijitee.org/portfolio-item/G5695059720/ Department of Mechanical and Manufacturing Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang, Selangor, Malaysia. Siti Azfanizam Ahmad Kok Weng Ng Department of Mechanical, Materials and Manufacturing, Faculty of Engineering, The University of Nottingham Malaysia, Semenyih, Selangor, Malaysia. Siti Hajar Airdzaman Department of Mechanical and Manufacturing Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang, Selangor, Malaysia. Mei Choo Ang* Institute of Industry Revolution 4.0 (IIR4.0), Universiti Kebangsaan Malaysia, UKM Bangi, Selangor, Malaysia. Salami Bahariah Suliano Department of Mechanical and Manufacturing Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang, Selangor, Malaysia. A university cafeteria is a queueing system characterised by non-stationary time of arrival with limited resources where the arrival rate is time dependent and has different pattern of arrival for different time interval. This means at certain time of the day; the arrival rate is much higher than other time. For a university cafeteria, the arrival rate of customer during the lunchtime is higher and the food (resources) is limited. Non-stationary time dependent queueing systems are not easily modelled mathematically hence such queueing systems are modelled using simulation tools such as ARENA. In order to model a non-stationary time dependent queueing system with limited resources and solve queueing problems using ARENA, researchers have to rely on their knowledge and experience to identify the appropriate parameters of the system and make modifications to these parameters of the system to solve queueing problems by means of trial and error. Hence, this research work explores the potentials of applying a systematic problem solving tool, TRIZ to help users to make better decisions in deriving solutions to improve a non-stationary time dependent queueing system with limited resources. A case study was carried out to minimize the waiting time of the customers at the cafeteria of the Faculty of Engineering, Universiti Putra Malaysia (UPM), which has queueing problems for years during lunchtime. TRIZ was applied in this case study and the results showed that TRIZ can assist researchers to derive a solution model that leads to shorter waiting time without incurring additional cost and resources. 05 30 2020 911 919 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5701.059720 https://www.ijitee.org/portfolio-item/G5701059720/ Mechanical Engineering department, Amrita School of Engineering, Coimbatore, Amrita Viswa Vidyapeetham, India. Kongara Venkatesh* Sivanesan Murugesan Mechanical Engineering department, Amrita School of Engineering, Coimbatore, Amrita Viswa Vidyapeetham, India. A large set of data are being generated in engine testing which is used for the evaluation of performance and prediction of emission characteristics. For any engine modifications or required improvements in the results, the whole testing procedure to be repeated again for further evaluation. To overcome this repetition, we need some data handling and analysis techniques such as machine learning and prediction models. The datasets which were collected by testing procedures help in building a prediction model by which the expected results of the test can be predicted without conducting repeated trials. This study mainly focusses on predicting the emissions of a diesel engine using a prediction model built by Linear Regression Algorithm in Machine Learning using Regression Learner Application in MATLAB. Linear Regression prediction model was built from the emission data collected from the single-cylinder diesel engine testing. The prediction model is validated and compared with the actual testing data obtained. Errors such as RMSE, MSE, MAE, R-squared errors are evaluated and found to be minimum. Using a validated prediction model, the emissions values can be predicted for any range of data set. This will reduce the time and cost involved by the repetition of testing procedures. 05 30 2020 962 968 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5707.059720 https://www.ijitee.org/portfolio-item/G5707059720/ Dept. of Electronic Science, L.V.H. Art’s, Science & Commerce College, Panchavati, Nashik-422003 (M.S.), India. U. P. Shinde* R. S. Gosavi Dept. of Electronic Science, Art’s, Science & Commerce College, Rahuri, Dist. Ahmednagar- 413705 (M.S.), India Sb-Se thin films of varying composition have been deposited on glass substrates at room temperature. These films were annealed at temperature interval of 50 0K. The electrical resistivity (ρ) and thermoelectric power (α) of same films were measured. The resistance of semiconducting films decreases rapidly on heating showing negative temperature coefficient of resistance (T.C.R.). The composition dependent resistivity shows exponential change, sharp fall of resistivity may be attributed due to increase of metallic ‘Sb’ in Sb-Se thin films. The composition dependent activation energy of Sb-Se thin films has been calculated. The activation energy (ΔE) of semiconducting films was found to increase with selenium concentration. For different compositions thermoelectric power (α) increases upto 70 at. wt.% of Se concentration and then slowly decreases. The I-V characteristics of Sb-Se thin films were measured using copper (Cu) contacts. The films show ohmic conduction for different applied voltages as well as various concentrations of Selenium (Se) in Sb-Se thin films. 05 30 2020 894 896 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5717.059720 https://www.ijitee.org/portfolio-item/G5717059720/ Master of Engineering, Structural Engineering, PSNA College of Engineering and Technology(Dindigil), Anna University, Chennai, Tamil Nadu,India. Ms. Ragavi Nalina P* Dr. Vimala S Professor, Faculty of Civil Engineering, PSNA College of Engineering and Technology, Dindigul, Tamilnadu,India. Ms. Sree Vidhya N Assistant Professor in the Faculty of Civil Engineering, at PSNA College of Engineering and Technology, Dindigul, Tamilnadu,India. In Current scenario, the CO2 concentration is getting increased in the environment which leads to climatic change and greenhouse effect. By using zeolite powder (pozzolanic material),it can reduce the CO2 emissions in the atmosphere. Using zeolite as partial replacement material of cement could make the concrete high strength, hence it eco-friendly. Used Foundry Sand (UFS) is an industrial by-product which is another material used in this research. The UFS can be used as a replacement for natural sand due to its properties.The present research work is aimed at studying the effect of the physical and chemical properties of Zeolite and UFS in M20 grade concrete. Based on previous literature 10, 15 and 20 % of Zeolite as replacement of cement and 30 % of UFS as replacement of sand are considered for the present study. The main objective is to estimate the test result of using Zeolite and UFS as partial replacement for cement and fine aggregates in fresh and hardened properties of concrete. Compressive strength and split tensile strength were carried out for 7,14 and 28 days and flexural strength of element will be observed from optimum percentage of test result. 05 30 2020 669 672 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5720.059720 https://www.ijitee.org/portfolio-item/G5720059720/ Master of Technology in Computer Science and Engineering Shri. Ramdeobaba College of Engineering and Management, Gittikhadan Nagpur, Maharashtra, India. Anuradha V. Kokate* Dr. M. B. Chandak Professor and Head Department of Computer Science and Engineering Shri. Ramdeobaba College of Engineering and Management, Gittikhadan Nagpur, Maharashtra, India. Mr. Abhay Kochar Founder and CEO, WebGile Solution, Mihan, Nagpur, Maharashtra, India. New improvements in online business and m-trade advances alongside the wide reception of cell phones and internet-based life have empowered organizations to upgrade clients' shopping encounters and their association with brands whenever, anyplace. In a lively business condition, organizations distinguish the force and centrality of the web to intrigue clients' consideration. Client communications with an association's application make open doors for positive encounters that can prompt long‐term relationship building. The space of client experience (CE) is all around created in the face‐to‐face setting, yet little consideration has been paid to investigating the idea in the online setting. Client commitment and maintenance of retail marks are critical. Holding and drawing in with clients assist brands with keeping them cheerful, remain faithful, and in the know regarding fresh debuts, most recent advancements, and item suggestions. We have gathered a requirement of more than 200 customers by conducting a series of surveys and after understanding the exact requirement of the people living in Guatemala, we have initiated our project of making an app to increase the engagement level. We have designed this application in ionic using MySQL database and to enhance the level of engagement through its design we used SCSS as the language to give style to the application. This application is integrated with WhatsApp to provide better customer support. The application is designed in the Spanish language to make it easy to use for the people living in Guatemala. This app is fully gamified with all the possible missions’ customers can complete easily which also boosts customer engagement by 200%. Hence, This Customer Engagement application will be used to attract customers and engage them on the app by giving them discounts, offers, coupons, and points after successful completion of tasks which drastically improves the conversion rate of the customer for any kind of business in Guatemala. 05 30 2020 1065 1072 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5723.059720 https://www.ijitee.org/portfolio-item/G5723059720/ Assistant Professor in Department of Information Technology at Sri Shakthi Institute of Engineering and Technology, Coimbatore. Mr. S. Wilson Prakash* Mr. S. Wilson Prakash specializing in Software Defined Networking with a focus on Traffic Engineering. Sri Hari S Student, Department of Information Technology, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India. Santhiya Sree R.M Student, Department of Information Technology, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India. Divya P.G Student, Department of Information Technology, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India This paper focuses on using IR handset to operate the PC's mouse pointer, which distinguishes the client's eyeball creation for Human Machine Interface. Having the ability to perform left, right, up, down and double taps based on different eye squints with significantly high precision, it uses a viable example classification calculation. In view of the actual usage of Eye Contact, the sensor projections are usually used to gage self- look headings in low- minus- calculations. The proposed architecture is a promising human-PC interface for flexible eye following applications due to its lightweight construction and strong precision. 05 30 2020 920 924 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5726.059720 https://www.ijitee.org/portfolio-item/G5726059720/ Assistant Professor, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore Mrs. P. Suvitha Vani* P. Sasikala UG StudentsDepartment of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore V. Raj UG StudentsDepartment of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore K. Sushmitha UG Students Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore Agriculture plays a major role in the development of a nation. The basic aim of agriculture is to help the human in the development of their growth by supplying energy rich crops by improving the soil and water supply. Securing agriculture is really a difficult task in today’s world. An increase in population increases the contamination of healthy food and water. To ensure better crop production and to minimize over utilization of water in a coconut tree, nutrient level analysis and smart water management system has been established. The use of sensors such as moisture sensor, flow sensor, Ph sensor helps in detecting moisture content of the soil and flow of water through the pipe and acidity level of the soil. A machine learning algorithm is proposed to predict the occurrence of a button shedding diseases in a coconut tree by observing the acidity level and moisture content of the soil. The motor is also attached with the flow sensors to observe the flow of water and to avoid overflow of water. Our project aims in the use of smart water management system to use the available water resources effectively. The main aim of our project is to increase the crop yield in a coconut tree and to avoid over contamination of water to agricultural fields. 05 30 2020 937 976 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5727.059720 https://www.ijitee.org/portfolio-item/G5727059720/ ECE department, Sri Vasavi Engineering College, Tadepalligudem, INDIA. Y. Sujatha* now a day’s, the demand for SoC based systems increasing. In SoC environment, multiple supply voltages are required because various subsystems of the system operate with different supply voltages. The communication between these systems is difficult and increases power consumption. The solution to this problem is to use a Voltage level translator/shifter between them. In this paper, a low power voltage level translator using power gating is proposed. By using this translator bidirectional voltage translator is implemented. In bidirectional voltage level translator, the data is translation between core logic and pad drivers and vice versa is possible with reduced power consumption and delay. In this paper, the power consumption reduces from 104uw to 6.25 pw at Vdd 1.8V. Delay is reduced from 19ns to 0.2 ns. 05 30 2020 997 981 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5729.059720 https://www.ijitee.org/portfolio-item/G5729059720/ Bachelor of Engineering, Computer Science, Rashtreeya Vidyalaya College of Engineering. Likhith D* Vamsi A Bachelor of Engineering, Computer Science, Rashtreeya Vidyalaya College of Engineering Dr. Rajashree Shettar Professor, Dept. of Computer Science, RV College of Engineering, Bengaluru In a competitive environment, organizations and firms are susceptible to customer attrition. Customer attrition and customer retention terms are widely spoken about. Customer retention which is quite the opposite of attrition is important for the company’s sustainability in today’s market. Many studies have come up with an attempt to find factors that influence customer retention. Firms have long desired to know who might end their relationship with them. Similarly, companies try to find how many existing customers did not return to purchase. Customer attrition is a problem that deals with clients and customers who are attrited from a particular brand or firm. In simple terminology it deals with the loss of profit associated with companies. This paper deals with the different ways to overcome the increasing attrition rate among customers. It also includes the implementation of customer segmentation using RFM model and K-means clustering. It also includes the prediction of customer retention using logistic regression. 05 30 2020 925 928 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5730.059720 https://www.ijitee.org/portfolio-item/G5730059720/ Assistant Professor, Maharaja Agrasen University, Baddi, H.P, India. Shilpa Gupta* Dr. Bindu Thakral Assistant Professor, Ansal University, Gurgao, Haryana, India. Efforts have been made to examine and study different path and multi-path Multistage Interconnection Networks (MIN) possessing regular or irregular topology. Numerous strategies for establishing fault-tolerance in MINs have also been studied. These studies have provided us help to understand the strength and weakness of the existing static and dynamic and regular and irregular MINs. Application of Neural Networks leads to the development of MINs with improved performance and study of its Reliability In this paper ANN based system has been developed which will help in the study of metrics required for enhancing and predicting the reliability of MINs. In this paper Number of iterations are conducted to improve the ANN based system to predict the reliability of MINs by changing the number of neurons and the number of layers. 05 30 2020 1216 1221 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5732.059720 https://www.ijitee.org/portfolio-item/G5732059720/ Department of Telecommunication, RV College of Engineering, Bangalore, India. Nagalakshmi Pranitha S* Dr. K. Nagamani department of Telecommunication, RV College of Engineering, Bangalore, India. Due to the increase in communication techniques, Radio spectrum has become a scarce resource. Based on the information available from the spectrum in the area, Cognitive Radio (CR) networks determine the usage of bandwidth by adjusting its transmission. It automatically detects the usage of the spectrum and decides how to use the available resources. Few newly adapted devices try to utilize the unused spectrum which is the main idea behind the cognitive radio network working. It can transmit signals according the noise, interference and variations in the channel. When the channel will be idle, that will be sensed by the CR and it tries to allocate that spectrum to some user in need. CR operation is completely based on the SDR. Here we are using optimization technique based on evolutionary algorithms to utilize the available resources and to allocate them to the users in need. Here the evolutionary algorithms used are particle swarm optimization (PSO), Modified PSO (MPSO) and kinetic gas molecular optimization (KGMO). We have simulated subcarrier allocation and power allocation of all three algorithms and checked which algorithm helps in better resource allocation. Simulation results also show capacity of each user and also comparing with other algorithms. 05 30 2020 897 902 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5733.059720 https://www.ijitee.org/portfolio-item/G5733059720/ Department of Electronics & Telecommunication Engineering, G.H.Raisoni College of Engineering , Nagpur, Maharashtra ,India . Mrs. Swapna Choudhary* Dr. Sanjay Dorle Department of Electronics Engineering, G.H.Raisoni College of Engineering , Nagpur, Maharashtra ,India Vehicular Ad-hoc Network (VANET) is the form of mobile ad-hoc network (MANET) in which the movement of vehicle is restricted by direction of road and traffic regulation. Real-world applications of vehicular communications are restricted due to rigidity in the deployment of protocol. To cover up this limitation in VANET, Software Defined Network (SDN) should be used for better utilization of channels and wireless resources. Due to dynamic nature of vehicles, finding and maintaining data dissemination is essential. Various applications uses different data from different sources, but for short period, high speed vehicles lives in the locality of road side unit (RSU) which results in latency issue. Therefore, to reduce delay scheduling of data is important so that it can serve as much requests as possible. The paper aims to implement SDN architecture along with flow management and Cooperative Data Dissemination (CDD) algorithm which will increase the speed of data dissemination. The performance of proposed algorithm is analyzed on the basic of parameters such as service ratio, service delay and gain of scalability. System performance is improved by improving CDD with peer to peer network. 05 30 2020 982 986 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5741.059720 https://www.ijitee.org/portfolio-item/G5741059720/ Assistant Professor, Computer Science, Govt. E.R.R.P.G Science college, Chhattisgarh. Tarun Dhar Diwan* Avinash kumar Tiwari Assistant Professor, Computer Science, Govt. E.R.R.P.G Science college, Chhattisgarh Sushil kumar kashyap Assistant Professor, Information Technology, Rajeev Gandhi Govt. Science college, Ambikapur, Chhattisgarh. WSN stands for Wireless Sensor Network it is an prefect models of the IoT or Internet of Things that gives checking administrations to catastrophic events, for example, volcanoes ejection and seismic tremor which can influence the life of person. All things considered, the QoS or Quality-of-Service it is a significant problem of the basic application so that it is adequate as well as heartiness is guaranteed. Other than this without a doubt administrations and commitments in checking frameworks, WSN's restricted assets can seriously corrupt the Quality-of-Service in the application of Internet of Things. There will be a decrease in the Quality-of-Service because of the blockage in the wireless service network in the application. For these situtations proficient utilization for the rare assets might be critical for guaranteeing consistent tramission of the information. Decreasing pace in the retransmission of the parcel that occurs due to the blockage diminishes sensor hubs power utilization. PDNC also known as Packet Discarding based Node Clustering that is a specific bundle disposing of technique is presented in this research paper. Every hubs conveyed will be bunched to a few gatherings that focuses on the zone and at once selection of a group head will be done. Parcel disposing of procedure will at that point be conveyed at every hub to diminish the quantity of bundles adding to blockage. Reenactment examination utilizing NS-2 demonstrates that the proposed method can lessen blockage along these lines improve the general execution. 05 30 2020 1132 1136 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5742.059720 https://www.ijitee.org/portfolio-item/G5742059720/ Computer Science And Engineering Department, ABES Institute Of Technology, Ghaziabad, India. Kritika Handa*, Mahika Sharma Computer Science And Engineering Department, ABES Institute Of Technology, Ghaziabad, India. Rishika Jaiswal Computer Science And Engineering Department, ABES Institute Of Technology, Ghaziabad, India. Prof. Sanjeev Kumar Computer Science And Engineering Department, ABES Institute Of Technology, Ghaziabad, India. Optical Character Recognition or Optical Character Reader (OCR) is a pattern-based method consciousness that transforms the concept of electronic conversion of images of handwritten text or printed text in a text compiled. Equipment or tools used for that purpose are cameras and apartment scanners. Handwritten text is scanned using a scanner. The image of the scrutinized document is processed using the program. Identification of manuscripts is difficult compared to other western language texts. In our proposed work we will accept the challenge of identifying letters and letters and working to achieve the same. Image Preprocessing techniques can effectively improve the accuracy of an OCR engine. The goal is to design and implement a machine with a learning machine and Python that is best to work with more accurate than OCR's pre-built machines with unique technologies such as MatLab, Artificial Intelligence, Neural networks, etc. 05 30 2020 1026 1030 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5745.059720 https://www.ijitee.org/portfolio-item/G5745059720/ Assistant Professor, Department of Computer Science And Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai. Dr. R. Kayalvizhi* Mr. Abhisek Bharadwaz Student, B.Tech, Computer Science and Engineering, SRM Institute of Science and Technology. Mr. Monisankar Baruah Student, B.Tech, Computer Science and Engineering, SRM Institute of Science and Technology. Over the few years the world has seen a surge in fake news and some people are even calling it an epidemic. Misleading false articles are sold as news items over social media, whatsapp etc where no proper barrier is set to check the authenticity of posts. And not only articles but news items also contain images which are doctored to mislead the public or cause sabotage. Hence a proper barrier to check for authenticity of images related to news items is absolutely necessary. And hence classification of images(related to news items) on the basis of authenticity is imminent. This paper discusses the possibilities of identifying fake images using machine learning techniques. This is an introduction into fake news detection using the latest evolving neural network models. 05 30 2020 1031 1036 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5747.059720 https://www.ijitee.org/portfolio-item/G5747059720/ EEE, Lakireddy Bali Reddy College of Engineering (A), Mylavaram, A.P., India. Mr. Y. Raghuvamsi* Mr. Imran Abdul EEE, Lakireddy Bali Reddy College of Engineering (A), Mylavaram, A.P., India. Mr. Ch. Rajesh EEE, Lakireddy Bali Reddy College of Engineering (A), Mylavaram, A.P., India. As electrical power system is a complex system, there are more chances of stability issues may arise. One of the stability issues is Low Frequency Oscillations (LFOs) which makes the system unstable. As these oscillations are having low frequency i.e. large time constant with slowly increasing magnitude, they are referred to small signal stability. The main reason of these oscillations is due to lack of sufficient damping torque. Automatic Voltage Regulator (AVR) action in generator is providing sufficient synchronizing torque for system stability. This is possible with high gain and low time constant AVR which results in reduction of damping torque. Power System Stabilizer (PSS) is used together with AVR for providing necessary damping torque to minimize the LFOs. For effective damping, the PSS performance is improved by optimizing its parameters. In this paper, Single Machine Infinite Bus (SMIB) system is considered for studying the effect of LFOs. The SMIB system is simulated for a step disturbance in reference voltage and the results are carried out for different optimizing techniques Particle Swarm Optimization (PSO), Cat Swarm Optimization (CSO), Teaching and Learning based Optimization (TLBO). 05 30 2020 709 716 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5756.059720 https://www.ijitee.org/portfolio-item/G5756059720/ EEE department, Lakireddy Bali Reddy college of Engineering (A), Mylavaram, Andhra Pradesh, India. P.V.L. Narasimha* K. Sandeep babu EEE department, Lakireddy Bali Reddy college of Engineering (A), Mylavaram, Andhra Pradesh, India. Y. Venkata sai EEE department, Lakireddy Bali Reddy college of Engineering (A), Mylavaram, Andhra Pradesh, India. Mr. Y. Raghuvamsi EEE department, Lakireddy Bali Reddy college of Engineering (A), Mylavaram, Andhra Pradesh, India. Electric energy is an important need now a day. Everyone utilize the energy to an extent in such a way that the usage of various kind of equipments under the Building Management System increases, it is crucial and important to ensure the perfect operation of the equipments. Uninterrupted power supply is very important for every house, and also maintaining the quality of power given to the system and reliability of supply are essential. Also monitoring the operation of equipment can play a major role. Submetering, is a concept of calculating the power consumed by individual ones or the entire system in any building management system. An Internet of Things (IoT) platform, which allows a kind of environment for the accessing the information in a building management system. Also it would be useful for ensuring safe operations. This submetering work deals with an IoT platform for monitoring the quality of power at the input of the system, provides the early detection of faults and analysis which is used to control the system. Moreover, the measured power quality problems can be processed in the IoT system by which the analysis will be done with the comparison of standard values of the system. The Power quality submetering is built around by arduino with internet of things platform, which provides an energy submetering Integrated Circuit (IC). The data obtained from the submeter by internet of things is wirelessly transferred to the user and also measured for power quality analysis, load and energy management. 05 30 2020 717 720 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5757.059720 https://www.ijitee.org/portfolio-item/G5757059720/ Computer Science department, Faculty of Information Systems and Computer Science, October 6 University, Giza, Egypt. Ahmed Refaat Ragab* The intelligent network (IN), plays an important role in the telecommunication process, as a part of the human life. Although, the numbers of network vulnerabilities discovered each year are growing rapidly, and it becomes impossible for system administrators to keep the software running on their network machines free of security bugs. Thus, it is important to clear the vulnerability of certain network or system, this paper investigates the vulnerability analysis of intelligent network (IN), by giving a clear study of the vulnerability analysis of the intelligent network , by applying two scenarios, one is done using different types of operating systems trying to hack them and the other scenario by studying the routing vulnerability problems. This study can be valuable to another research and development work. 05 30 2020 756 761 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5761.059720 https://www.ijitee.org/portfolio-item/G5761059720/ Dept. of Electronics, Yuvaraja’s College, University of Mysore, Mysuru, India. Chandrashekar K S* Chandramma S Dept. of Electronics, University of Mysore, Mysuru, India. H. Gajera Dept. of Studies in Electronics, PG Centre, Hemagangothri, Hassan, India. Koushik Dutta Dept. of Electronics & Comm. Engineering, Netaji Subhash Engineering College, Kolkata, India. A wideband circular microstrip patch antenna (CMPA) has been presented employing a rectangular metal sheet superstrate. The proposed concept follows a unique, simple, and a flexible design approach to enhance the bandwidth of a circular patch. A simple change in the conventional antenna geometry has been suggested by adding a rectangular metal sheet superstrate, placed symmetrically above the patch. A cylindrical shaped foam spacer has been used to provide mechanical support to the optimized superstrate. The proposed antenna offers about 36% of impedance matching bandwidth ranging between 8.46 GHz to 12.06 GHz with a total bandwidth of 3.6 GHz. Whereas, a conventional circular patch, resonating at 9.96 GHz, hardly shows about 4.8% of impedance bandwidth (480 MHz) only. In addition to the enhanced bandwidth characteristics, the proposed antenna, also reveals a little increase in the gain throughout the operating frequency band. For the experimental validation, a set of antenna prototype has been fabricated using the commercially available dielectric substrate. The measured result is very closely agreed with the simulated predictions. 05 30 2020 987 992 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5786.059720 https://www.ijitee.org/portfolio-item/G5786059720/ Associate Professor, Department of Civil Engineering, PSNA College of Engineering & Technology, Dindigul, India. Dr.Sivakumar S* Chandrasekar A Assistant Professor, Department of Civil Engineering, PSNA college of engineering & Technology, Dindigul, India. Jaideep C Associate Professor, Department of Civil Engineering, PSNA College of engineering & Technology, Dindigul, India Dr.Kameshwari B Professor, Department of Civil Engineering, BVC Engineering College, Andhra Pradesh India Concrete is a extensively used material in construction. Due to high tech upgrading, the concrete have been matured to augment the equity of concrete. Now a day’s various studies have been conducted to make concrete with waste materials with the intension of reducing cost and demand of materials. This paper investigates the mechanical goods of concrete using Ground Granulated Blast furnace Slag (GGBS) and Marble Dust (MD) as a limited replacement of cement and fine aggregate respectively. Based on previous literature survey, 40% of GGBS and 10, 20 and 30% of MD are taken for the present study. The present research work is aimed at studying the mechanical properties of M20 grade concrete using GGBS and MD. Compressive strength and Split tensile strength were carried out for 7, 28 and 56 days and insignificant increases in the strength were observed for concrete specimens admixed with GGBS and MD when compared with conventional concrete. 05 30 2020 1037 1039 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5795.059720 https://www.ijitee.org/portfolio-item/G5795059720/ Tashkent Institute of design, construction and maintenance of automotive roads, Doctor of Technical Sciences, Professor of the Department of Road-building machines and equipment, Tashkent, Uzbekistan Abdulaziz A. Shermukhamedov* Gulsara K. Annakulova Institute of Mechanics and Seismic Stability of Structures named after M.T. Urazbaev of the Academy of Sciences of the Republic of Uzbekistan, Candidate of Physical and Mathematical Sciences, Leading Researcher, Tashkent, Uzbekistan Bekzod J. Astanov Institute of Mechanics and Seismic Stability of Structures named after M.T. Urazbaev of the Academy of Sciences of the Republic of Uzbekistan, doctor of philosophy (PhD) on technical sciences, Senior Researcher, Tashkent, Uzbekistan Sherzod A. Akhmedov Design technology center of agricultural machinery LLC, doctor of philosophy (PhD) on technical sciences, Senior Researcher, Tashkent, Uzbekistan Yusufbek A. Shermukhamedov Tashkent Institute of design, construction and maintenance of automotive roads, Magister, Tashkent, Uzbekistan, The article presents a mathematical model and the results of dynamic calculation of hydraulic steering control of a four-wheel gantry high-clearance tractor, consisting of a distributor, pipelines and a steering mechanism – a hydraulic cylinder. The results of pressure and flow rate changes in the hydraulic cylinder are presented. The results of dynamic calculation can be used to study the process of turning movement of a tractor. 05 30 2020 762 768 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5798.059720 https://www.ijitee.org/portfolio-item/G5798059720/ Student, PhD, Electric Vehicles. V. Vaideeswaran* Senthil Kumar R B.E, Electrical and Electronics Engineering, Madurai Kamaraj University. Electric vehicles are used nowadays to reduce carbon emissions and green house gases. The main challenge in the electric vehicles is the energy storage systems. For battery operated vehicles, the increase in charging time is the major concern and range of the vehicles for a single charge is not satisfied. This leads to restrict the commercialization of electric vehicles. To overcome this, researchers and industry peoples has developed a hybrid vehicle technology which contains both electric and internal combustion engines. The efficiency of the hybrid vehicle is increased when it is incorporated with IC engines. But still the energy storage issues are censorious. Now the potential area in the energy storage systems is flow batteries. The main advantage of the flow batteries is fast charging tendency. Refuelling is possible only in case of flow batteries among all energy storage devices used in electric vehicles. This paper provides the study of flow batteries used in electric vehicles and comparison of different flow batteries for electric vehicle applications. 05 30 2020 993 995 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5803.059720 https://www.ijitee.org/portfolio-item/G5803059720/ Assistant Professor, Department of Information Technology,R.M.D Engineering College,Thiruvallur,, Tamilnadu, India. Dr.B. Kalapana* A.K. Manaswini* Currently pursuing bachelor’s degree in the stream Information Technology at R.M.D Engineering College,Thiruvallur, Tamilnadu, India K. Gayathri Currently pursuing bachelor’s degree in the stream Information Technology at R.M.D Engineering College, Thiruvallur,Tamilnadu,India. Kotamreddy Srilekha Currently pursuing bachelor’s degree in the stream Information Technology at R.M.D Engineering College, Thiruvallur,Tamilnadu,India. Data security is protecting digital data, from the unwanted actions of unauthorized users, like cyberattack or data breach. Data is no longer said to be secure if it falls into the hands of hackers or those that would misuse it. Data is well secured and guarded within an organization. But, when its employees sell their access specifiers to their competitors, data is no longer protected. This could be avoided by advanced technology. The Identity-based approach is an approach to regulate access to a digital product or service based on the identity of an individual. This allows organizations to grant access to a variety of digital services using the same credentials, ensuring the accurate match between what users are entitled to and what they really receive, while also permitting other access constraints like company, device, location and application type(attributes) In our application, data is uploaded by an encryption format attached with the video mode and it is downloadable by the user only through the unique face detection mode. When a user tries to download the encrypted file, a notification is sent to four admins for better privacy reasons. Only upon acceptance from four of these admins, the file could be downloaded. The admins can authenticate the user using his face captured through face detection. This could be used at any level in an organization but is much efficient when no of users trying to access a file is limited. This provides high security and rejects unauthorized users. Breach of data leads to a decline in profits and incline in losses. This could be reduced if the data security could be ensured using face detection of a person who is trying to access the data. 05 30 2020 1222 1224 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5805.059720 https://www.ijitee.org/portfolio-item/G5805059720/ Assistant Professor, Dept. of IT, SRM IST, Chennai, Tamil Nadu, India. R. Veeramani* Aryan Goswami Student, Bachelor of Technology, Information Technology, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India Harsh Aditya Student, Bachelor of Technology, Information Technology, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India Praveen Ranjan Student, Bachelor of Technology, Information Technology, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India Machine Learning is the study of algorithms and application of artificial intelligence. Artificial Intelligence is said to be the superset of machine learning. It aims to develop those programs which can learn and improves it upon increasing experience. It is designed to learn by itself. The aim is to detect pancreatic cancer using machine learning approach. Pancreas is responsible for secreting insulin which helps to control the blood glucose level in the human body. The paper aims to detect pancreatic cancer with the help of machine learning. The tumor is detected using image processing and is to be detected at the premature stage so that proper medication and treatment can be provided to increase the survival rate of the patient. The MRI image of pancreas obtained after MRI scan will be preprocessed and its noise is removed. The segmentation of MRI images will be performed using FCM algorithm. The tumor present in the image will be detected with the help of morphological process and multi clustering model. After Segmentation the image will be divided into various regions. With the help of the hybrid technique the primary and secondary regions are compressed and are used for telemedicine application. DWT is used for DE noising the image. GLCM features are extracted. The image then compared with the database images of pancreatic tumors and is classified as abnormal and normal with the help of BPN based classifier. The image is classified into abnormal and normal. The malignant image is considered as abnormal. The abnormal image is then segmented using SFCM and tumor part is clustered. After clustering the tumor part validation about the presence of pancreatic cancer is given. 05 30 2020 1137 1141 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5813.059720 https://www.ijitee.org/portfolio-item/G5813059720/ Software Engineering, Firat University, Elazig, Turkey. Ghazi A* Fatih Ö Assistant Professor, Software Engineering, Firat University, Elazig, Turkey. The whole world is changing rapidly with current innovations, using the Internet, has become a fundamental requirement in people's lives. Nowadays, a massive amount of data made by social networks based on daily user activities. Gathering and analyzing people's opinions are crucial for business applications when they are extracted and analyzed accurately. This data helps the corporations to improve product quality and provide better customer service. But manually analyzing opinions is an impossible task because the content is unorganized. For this reason, we applied sentiment analysis that is the process of extracting and analyzing the unorganized data automatically. The primary steps to perform sentiment analysis include data collection, pre-processing, word embedding, sentiment detection, and classification using deep learning techniques. This work focused on the binary classification of sentiments for three product reviews of fast-food restaurants. Twitter is chosen as the source of data to perform analysis. All tweets were collected automatically by using Tweepy. The experimented dataset divided into half of the positive and half of the negative tweets. In this paper, three deep learning techniques implemented, which are Convolutional Neural Network (CNN), Bi-Directional Long Short-Term Memory (Bi-LSTM), and CNN-Bi-LSTM, The performance of each of them measured and compared in terms of accuracy, precision, recall, and F1 score Finally, Bi-LSTM scored the highest performance in all metrics compared to the two other techniques. 05 30 2020 1040 1044 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5814.059720 https://www.ijitee.org/portfolio-item/G5814059720/ Department of Electronics & Instrumentation Engineering, Pondicherry Engineering College, Puducherry, India. B. Hema Kumar* M. Florance Mary Department of Electronics & Instrumentation Engineering, Pondicherry Engineering College, Puducherry, India. Engineering education is a training that encompass learning the theoretical knowledge of concepts, and real time application domains. The role of engineering is also bound by ethical values and the understanding of social and cultural values. In this context a new approach has been designed to facilitate learning of life philosophies through Digital Signal Processing (DSP) concepts. To facilitate learning process, skits based on core DSP concepts were developed using simple day to day tools and performed with learners. The concept was introduced with simple analogies. Then students were made to participate in skits corresponding to key concepts. After the skits, learners were educated about the correlation with Life philosophies. Three case studies were taken up for this study. We found that the inculcation of life philosophies through simple skits, helped learners better to understand the concepts as well the moral values of life. 05 30 2020 1142 1144 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5816.059720 https://www.ijitee.org/portfolio-item/G5816059720/ Department of ECE, G. Narayanamma Institute of Technology and Sciences, India. K. Varnika* High-performance VLSI systems are essential in real-time applications, in order to increase the performance of the VLSI systems, an approximate computing technique is followed where the performance of the circuit is enhanced by trading off it with a slight loss in the accuracy. These approximate circuits are used in error-tolerant applications, where output need not be accurate. This paper concentrates mainly on approximate adders, as they are major building blocks of DSP systems. The analysis of the Lower-part OR Adder for 4-bit addition and comparison of it with the precise adder i.e., Ripple Carry Adder using the mentor graphics tool in 90 nm CMOS technology are presented in this paper. Our experimental results show that there is 17%-70% savings in power dissipation, 4%-32% saving in the area, and 19%-84% savings in time due to approximate adder. As the LOA-2 and LOA-3 are performing optimally these two adders can be used for error-tolerant applications and based on the requirement LOA-2 or LOA-3 can be selected. 05 30 2020 1176 1180 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5832.059720 https://www.ijitee.org/portfolio-item/G5832059720/ Electrical Engineering Department, AP Goyal Shimla University, Shimla, India. Anchal Awasthi Anand Mohan Electrical Engineering Department, AP Goyal Shimla University, Shimla, India. Ashutosh Sharma* Mechanical Engineering Department, Dr B R Ambedkar National Institute of Technology, Jalandhar, India. Solar tracking devices are quite effective for collecting maximum solar radiations but for vastly spread solar energy collection plant, their usage is suppressed due to large cost involvement. The best alternative to this problem is adjustment of tilt angle at most appropriate position. In this study monthly optimum tilt angle have been identified for a solar power plant setup-able site Kalth (φ 30.85046˚, L 77.06153˚), situated at Himachal Pradesh, India. For diffuse radiation estimation, an isotropic model has been used. By considering the impracticality involved in monthly tilt angle adjustment, various annual adjustment models have been formulated for two, three and four annual adjustments. In order to estimate the increment in solar insolation by adopting these models, Performance Enhancement (PE) have been computed from the conventional method of setting the solar collector tilt equal to latitude angle. The results show that PE is maximum for monthly optimum tilt angles followed by M-4 which is a three annual adjustment model. Based on PE requirement, any of the proposed models can be selected for setting up solar energy collection plant at suggested site. 05 30 2020 1181 1185 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5835.059720 https://www.ijitee.org/portfolio-item/G5835059720/ Research Scholar, Department of Computer and Information Science, Department of Computer Science and Engineering, Annamalai University, Chidambaram, Tamilnadu, India. S. Prabavathy* V. Rathikarani Assistant Professor, Department of Computer Science and Engineering, Annamalai University, Chidambaram, Tamilnadu, India. P. Dhanalakshmi Professor, Department of Computer Science and Engineering, Annamalai University, Chidambaram, Tamilnadu, India. Automatic classification of musical instruments is a challenging task. Music data classification has become a very popular research in the digital world. Classification of the musical instruments required a huge manual process. This system classifies the musical instruments from a several acoustic features that includes MFCC, Sonogram and MFCC combined with Sonogram. SVM and kNN are two modeling techniques used to classify the features. In this paper, to simply musical instruments classifications based on its features which are extracted from various instruments using recent algorithms. The proposed work compares the performance of kNN with SVM. Identifying the musical instruments and computing its accuracy is performed with the help of SVM and kNN classifier, using the combination of MFCC and Sonogram with SVM a high accuracy rate of 98% achieve in classifying musical instruments. The system tested sixteen musical instruments to find out the accuracy level using SVM and kNN. 05 30 2020 1186 1190 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5836.059720 https://www.ijitee.org/portfolio-item/G5836059720/ Transportation Planning Department, University Technology Malaysia, Johor, Malaysia. Siti Balqis* Zuhra Junaida Mohamad Husny Hamid Faculty of Build Environment, Universiti Teknologi Malaysia, Johor, Malaysia. This paper introduces the current trend of the electronic payment system implementation on feeder bus in Malaysia. Smart card technology has been implemented in many countries around the world as a substitute for cash transaction. Rapid Bus Sdn Bhd was responsible for introducing electronic payment system for all Mass Rapid Transit feeder bus across all the 57 routes in February 2019. By using the Pearson correlation coefficient, the analysis stated that the significant level is 0.05 .Furthermore, it used to identify the hypothesis should be acceptance or rejected. When relationship for both variables is significant, it’s required to resolve on the level of the acceptance. The development of this e-payment system is an effort to support the cashless payment system parallel with the government aspiration to increase the efficiency of the national payment system. The aim of this study is to identify the factors that influence customers’ satisfaction of Mass Rapid Transit feeder bus electronic payment system. This study not only reveals the factors that influence customers’ satisfaction which are e-pay reliability, e-pay miles coverage, staff technical competencies and smart card functionality, but identified the significant ones among them 05 30 2020 1115 1119 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5839.059720 https://www.ijitee.org/portfolio-item/G5839059720/ Department of Electrical and Electronics Engineering at Mahatma Gandhi Institute of Technology, Hyderabad, India. A. Ramchandra Reddy* S. Abhishek Reddy Department of Electrical and Electronics Engineering at Mahatma Gandhi Institute of Technology, Hyderabad, India. With the increase in operating voltage of transmission system to transport large amounts of power to meet increased demand switching surges became governing factor in the insulation design of EHV and UHV systems. Insulation failure probability under switching surges that is switching surge flashover rate (SSFOR) is the main concern in the switching surge design of transmission lines. In this paper, SSFOR of 1200kV UHVAC transmission line under switching surges which are generated during energization of no-load transmission line is estimated. 05 30 2020 1045 1048 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5844.059720 https://www.ijitee.org/portfolio-item/G5844059720/ Department of Electronics and Communication Engineering, K V G College of Engineering, Sullia and affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India. Kusumadhara S* Ravikumar M S Department of Electronics and Communication Engineering, K V G College of Engineering, Sullia and affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India. Performance of computer vision based grading systems is remarkably affected by the efficiency of object segmentation. The automatic segmentation of low contrast objects is a challenging task in various fruit and nut grading systems. In this paper background elimination of white chali arecanut images is carried out using morphological segmentation. The fine-tuning of edge threshold for morphological segmentation is achieved by obtaining threshold values from multilevel thresholding of original grayscale image. The best figure ground segmentation is selected by a network trained using shape parameters of the ground truth masks. The performance of morphological segmentation is evaluated for the best figure ground segmentations using precision, recall and F-scores. Comparison of segmentation performance is done by employing multilevel thresholding based on Otsu, Fuzzy c-mean, Harmony search, Differential Evolution and Cuckoo Search algorithms. The experimental result shows that, multilevel thresholding using Differential Evolution and Cuckoo Search algorithms yield best results for the fine-tuning of edge thresholds and hence the better segmentation performance of the white chali arecanuts. 05 30 2020 1049 1055 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5848.059720 https://www.ijitee.org/portfolio-item/G5848059720/ Dept. of Information Technology, Pune Institute of Computer Technology (PICT), Pune, India. Shradha Sawant* Manjushree Shinde Dept. of Information Technology, Pune Institute of Computer Technology, Pune, India. Samruddhi Siddhamshettiwar Dept. of Information Technology,Pune Institute of Computer Technology, Pune, India. Nisha Watpade Information Technology, Pune Institute of Computer Technology, Pune, India Jayashree Jagdale Assistant Professor, Dept. of Information Technology, Pune Institute of Computer Technology, Pune. This research aims to design a Grievance Filing System built using automatic text classification without any manual interruption. Various methodologies are followed to achieve it and are implemented. Performance of the different algorithms is discussed. People are less aware about the lengthy methods for lodging complaints. We propose a simplified process of enrolling grievances to ministries. The system accepts grievances in recorded voice form. The system is designed for Marathi language. Input in the form of speech will ease people’s comfort for lodging grievances. We present a model where voice is first preprocessed, followed by text classification using deep learning approaches such as CNN and LSTM, the grievances will be sent to respective ministry. This system can be used by government ministries to get grievances from common people through a simplified process. User will be notified on the progress of their lodged complaint and on its successful resolution by respective ministry. 05 30 2020 1332 1336 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5852.059720 https://www.ijitee.org/portfolio-item/G5852059720/ Lovely Professional University, Phagwara, Punjab, India. Rajesh Singh Anita Gehlot Lovely Professional University, Phagwara, Punjab, India. Amit Kumar Thakur* Lovely Professional University, Phagwara, Punjab, India. Mahendra Swain Lovely Professional University, Phagwara, Punjab, India. Shaik Vaseem Akram Lovely Professional University, Phagwara, Punjab, India. Paddy cultivation is one of the major crops cultivated in India. Normally paddy cultivation is grown twice in a year, where the consumption of water is high during the cultivation. The monitoring of the water level continuously is a little bit tedious to the farmer. However, with the assistance of advanced technology, the burden on the farmer can be reduced. So, in this study, we are proposing the Wireless Sensor Network (WSN) architecture-based water level regulating system. WSN architecture consists of three nodes like sensor node, cluster head node, and sink node. With the assistance of the float sensor and ZigBee wireless communication module, the sensor node which is deployed in the paddy field senses the water level data and communicates to the sink node. The cluster head node monitors the sensor nodes of the cluster of paddy fields and controls the actuator concerning the water level. Sink node is generally located nearby farmer location, with the assistance of sink node the farmer observer the status of water level in their paddy fields in the LCD display. This system enhances in maintaining the optimal level of water and also reduces the burden on the farmer for continuous monitoring. Especially the sensor node follows the power management system, where the power interruption is avoided. 05 30 2020 1243 1246 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5854.059720 https://www.ijitee.org/portfolio-item/G5854059720/ Professor, Mahatma Gandhi Institute of Technology, Gandipet, Hyderabad-500075, India Dr. K. Ankamma* Dr.P.V.R.Ravindra Reddy Professor, Department of Mechanical Engg., Chaitanya Bharathi Institute of Technology, Gandipet, Hyderabad-500075, India Fuzzy logic controller (FLC) is well suited where there is a considerable amount of uncertainty in the process. The material properties of a weldment in TIG welding depend on welding parameters like shielding gas pressure, current, torch angle, Electrode size, electrode projection, arc length etc. It is also influenced by the joint parameters like groove angle, land, root gap, preheating temperature. But a lot of noise parameters like variation of base material properties, variation in quality of inert gas used, variation in ambient conditions, variation in workman ship etc introduce uncertainties in the into the process. To deal with such uncertainties an FLC is designed and validated. In the current work, four parameters namely inert gas pressure, current, groove angle of the joint and preheating temperature of base metal are considered as input variables and the influence of these variables on the 0.2% proof stress is studied. Three linguistic terms are used for each parameter. To minimise the number of experiments in designing data base an L-9 orthogonal array is chosen for experimentation. TIG welding is carried and data base with 9 rules are formulated. For the input and out variables Triangular membership function is selected and FLC is designed. The FLC is validated with 5 more experiments. Mamdani approach is used to develop the Fuzzy controller. 05 30 2020 996 1001 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5857.059720 https://www.ijitee.org/portfolio-item/G5857059720/ ECE, B V Raju Institute of Technology, Narsapur, India. Karthik K* Abhyudhay K ECE, B V Raju Institute of Technology, Narsapur, India. Sai Prasad M ECE, B V Raju Institute of Technology, Narsapur, India. Shaik Shafi ECE, B V Raju Institute of Technology, Narsapur, India In the recent past, due to the rapid spread of robotic technology, there is an increase in heed towards the design of self rehabilitation devices for physically challenged persons. Thus, in this paper, we develop “A Real Time LabVIEW based low cost virtual control personal assistive system for disabled using motion intention and Speech”. Towards this, at the beginning the motion intention is estimated through the user muscle activities in real-time using Electromyogram (EMG) electrodes. Thus, the EMG electrodes control the system in proportion with users’ motion intention. However, sometimes there is a problem in the estimation of motion intention due to poor muscle activity in weak persons and surrounding environment. In that case, to modify the user’s motion and to avoid accidents, speech recognition technology is introduced as an alternative. Therefore, this system helps the disabled people to input their data by mapping both EMG signals and Voice commands using LabVIEW. The proposed virtual control personal system is tested using a Robot model and developed on Arduino platform. The possible enhancements of developed control system may also be discussed for potential applications in medical, home and industrial environments. 05 30 2020 1247 1250 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5859.059720 https://www.ijitee.org/portfolio-item/G5859059720/ Department of Computer Science and Engineering, RV College of Engineering, Bangalore, India. Sheena Garg* Dr. Manjunath A E Department of Computer Science and Engineering, RV College of Engineering, Bangalore, India. With the growing scale size of networks and the complexities that follow, there is an increasing need for an end-to-end network management system for efficient monitoring of the system and having the best-in-class security, performance, and management features. This paper proposes an integrated network monitoring system that provides a single-window operation for end-to-end network management. The system is operated as a web application for stand-alone functioning. This eliminates most the dependencies, chances of failure and additional requirements that may lead to increased cost and decreased performance. The proposed system uses JavaScript for frontend and DHTMLx3.0 for the User Interface. Backend works on Java, Ajax, Hibernate, Apache Tomcat (webserver), Apache ActiveMQ (message queue), MTOSI (Multi-Technology Operations System Interface), CORBA TMF 814 and WebSwing. The different network technologies used and supported by the system for functioning are RADIUS (Remote Authentication Dial-In User Service), MPLS-TP, SDH, SONET, ONT, and GPON. 05 30 2020 1191 1195 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5865.059720 https://www.ijitee.org/portfolio-item/G5865059720/ Student, Department of ECE Bapatla Women’s Engineering College, Bapatla, AP, India, K. Vasavi* Suneetha Emmela Assistant Professor, Department of ECE, Bapatla Women’s Engineering College, Bapatla, AP, India, K. Navya Student, Department of ECE Bapatla women’s Engineering College, Bapatla, AP, India L. Manjusha student, Department of ECE Bapatla Women’s Engineering College, Bapatla, AP, India Ch. Prathyusha student, Department of ECE Bapatla Women’s Engineering College, Bapatla, AP, India The main objective of this paper is that the ignition of car stops automatically. When the driver is intoxicated/sleepy before starting, after starting and while moving of vehicle, the car ignition will be stopped based on intoxicated driver position, gestures, voice recording, Eyeball movement and sleep mood. We introduced to predict the accident with the location tracking which is immediately sent to the server. This paper explores location, map matching and data associated with the positioning and predicts the accidents by intoxicated drivers in cars. This paper work provides safety and security of human beings not only for driver but to the passengers also. 05 30 2020 1251 1254 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5867.059720 https://www.ijitee.org/portfolio-item/G5867059720/ Electronics and Communication Engineering, SIT, Tumakuru, Karnataka. Brunda U S* K Sandhya Electronics and Communication Engineering, SIT, Tumakuru, Karnataka Madhurya Kulkarni G V Electronics and Communication Engineering, SIT, Tumakuru, Karnataka. Navya N Electronics and Communication Engineering, SIT, Tumakuru, Karnataka. Pradeep H S Assistant Professor, Electronics and Communication Engineering, SIT, Tumakuru, Karnataka. Network security has been great concern with recent technical advancement in wireless communication. And for that, a secured system is to be developed to provide data security over wireless transmission. This paper presents wireless body area network (WBAN) with cryptographic AES algorithm which monitors patient biomedical parameters based on sensors, Arduino and ZigBee. WBAN provides real-time measurements of patients health based on biomedical sensor. AES cryptographic algorithm is implemented for secure communication over wireless network by encryption and decryption of physiological parameters. Implementation of algorithm using Arduino has been communicated by ZigBee network to provide security to the encrypted data (cipher text) on medium cost devices. This ensures security of data for medical rehabilitation and monitoring of patients. The main purpose of this paper is to help a physician to treat patients during emergency by monitoring patients round the clock (24*7). This paper is helpful for elderly and disabled people with no assistance to measure and send the results to the doctor immediately. 05 30 2020 1225 1229 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5879.059720 https://www.ijitee.org/portfolio-item/G5879059720/ Electronics and Communication Engineering, B. V. Raju Institution of Technology, Narsapur, HYD, India. Dr. M. C. Chinnaiah* A. Murali Krishna Electronics and Communication Engineering, B. V. Raju Institution of Technology, Narsapur, HYD, India C. V Dheeraj Electronics and Communication Engineering, B. V. Raju Institution of Technology, Narsapur, HYD, India. D. Abhishek Electronics and Communication Engineering, B. V. Raju Institution of Technology, Narsapur, HYD, India. An intelligent hybrid project is developed for assisting the partially impaired and physically challenged people. The Fall Detection is proposed to ensure the safety of these people. Force Sensing Resistor (FSR) sensors are attached to the footwear. For each in a pair of shoes four FSR sensors are attached at the precise locations in the shoe. In this method, the user’s pressure from the specified points is calculated in real time using an integrated force sensory system, which comprises FSR sensors in the shoe. When the pressure from these specified points cross the boundary limit of the specified safety value, i.e., the maximum pressure, it is assessed that the user is going to fall down. The data retrieved from these FSR sensors is used for computing the gaiting analysis. We have used Arduino microcontrollers for data collection from the pair of shoes incorporated with sensors. The data gathered here is transmitted via Bluetooth protocol to the core FPGA where the main Gaiting Analysis is performed and fall detection is achieved here. The novelty in this paper is we have used the FPGA board for Fall Detection because it has high performance, less power consumption and parallel processing support. So using FPGA is the best option in this project. This project can be broadly applied across Healthcare and Military applications. The detected fall can be further improved and it can be prevented by Fall Prevention prototypes. In this study, we have successfully achieved the desired results, and all the proposed methods were finally verified through simulations and experiments. 05 30 2020 1161 1167 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5893.059720 https://www.ijitee.org/portfolio-item/G5893059720/ School of Software, Hallym University, Chuncheon-si, Gangwon-do, South Korea. Jse Mok Ahn* Heart rate variability (HRV) is a useful measure to evaluate activity of the autonomic nervous system (ANS) and monitor both pathological and psychological conditions. However, HRV analysis still has difficulties with changes in HRV parameters due to an increase or decrease in the average heart rate. At present, the interpretation of the average changes in HRV datasets and their HRV parameters is not fully understood. Therefore, this study aimed to analyze how much deviation in HRV parameters occurs from rescaling tachograms and normalizing HRV datasets. Four rescaled tachograms and their corresponding normalized HRV datasets were created by increasing the average heartbeat from 50 to 110 bpm in 20 bpm steps. The difference in low frequency powers (Ln LFs) calculated between two successive rescaled groups was 0.89, 1.03, and 1.04, as the average heartbeat increased from slow to fast, while the difference in high frequency powers (Ln HFs) was 1.06, 1.53, and 1.37. However, in the four normalized HRV datasets, the difference in Ln LFs and Ln HFs between two successive normalized groups was -0.28 and -0.12, 0.31 and 0.27, and 0.31 and 0.37, respectively. The results suggest that the normalized HRV datasets are more valuable than the individual rescaled-tachogram HRV dataset for obtaining measurements using frequency-domain HRV parameters for HRV analysis in clinical applications. 05 30 2020 1073 1078 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5896.059720 https://www.ijitee.org/portfolio-item/G5896059720/ Lovely Professional University, Phagwara, Punjab, India. Amit Kumar Thakur* Rajesh Singh Lovely Professional University, Phagwara, Punjab, India. Anita Gehlot Lovely Professional University, Phagwara, Punjab, India. Shaik Vaseem Akram Lovely Professional University, Phagwara, Punjab, India. Prabin Kumar Das Lovely Professional University, Phagwara, Punjab, India. Power line carrier is available in every home for power supply. However instead of inserting optical fibre and ethernet for communication medium, the power line carrier can be utilized. The aim of this study is to implement the low-cost home automation by integrating the GSM/GPRS modem and PLCC modem. With the assistance of these two modems, the home automation can be implemented from any location. Blynk application is been implemented in this study for controlling the home appliance like fan, bulb and AC. 05 30 2020 1255 1259 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5902.059720 https://www.ijitee.org/portfolio-item/G5902059720/ Department of Computer Science and Engineering, VR Siddhartha Engineering College, Vijayawada, Kanuru Meerja vali Shaik* Ch. Rupa Professor, Department of Computer Science and Engineering, VR Siddhartha Engineering College, Vijayawada, Kanuru. Rohith Gadde Department of Computer Science and Engineering, VR Siddhartha Engineering College, Vijayawada, Kanuru. M N S Koundinya Department of Computer Science and Engineering, VR Siddhartha Engineering College, Vijayawada, Kanuru. Harish Donepudi Department of Computer Science and Engineering, VR Siddhartha Engineering College, Vijayawada, Kanuru. Nowadays everything seems to be original and it's being herculean task to identify which is not real. It may be a currency for people or valued currency for students such as certificates. A lot of fraudulent parties have made money by encouraging the duplicate certificates in society. As a result, low talented or inefficient people are getting more and they are being responsible for the degradation of any nation’s value. A blockchain-based certificate is a prime solution for the above problem. In this work, would like to discuss the functioning of a smart contract in favor of Issuing, verifying, and revoking the certificates through gas value[9] deductions. Thus our certificate can provide the added assurances of evidence of origin in a transparent manner using. 05 30 2020 1248 1287 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5907.059720 https://www.ijitee.org/portfolio-item/G5907059720/ CSE, V R Siddhartha Engineering College, Vijayawada, India. K. Hemasai Katuru* S. Ravi Kishan Computer Science and Engineering, VRSEC, Vijayawada, India. Suresh Babu Dasari Computer Science and Engineering, VRSEC, Vijayawada, India. In-season crop yield estimation has various applications such as the farmer taking corrective measures to increase the yield. We are exploring the efficient use of fertilizers. The various data mining techniques are used on data for environment. The data is related to humidity, PH. value, water, soil type and atmospheric pressure these are responsible for crop yield. This result is obtained by this algorithm are useful for farmers to take decisions about further implantation of crop yield. Crop selection method is widely used to build decision tree to overcome many problems in real time real world. One of the most important fields is decision tree. By analyzing the soil and atmosphere at particular region best crop in order to have more crop yield and the net crop yield can be predicted. This prediction will help the farmers to choose appropriate crops for their farm according to the soil type, temperature, humidity, water level, spacing depth, soil PH, season, fertilizer and months. This prediction can be carried out using Random Forest classification machine learning algorithm. 05 30 2020 1288 1292 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5911.059720 https://www.ijitee.org/portfolio-item/G5911059720/ CSE, V R Siddhartha Engineering College, Vijayawada, India. Sai Poojitha Bommadevara* A. Jitendra CSE, V R Siddhartha Engineering College, Vijayawada, India. S. Babu CSE, V R Siddhartha Engineering College, Vijayawada, India. Millions of users are engaged with social networking sites around the world. Social sites like twitter, Facebook have a large impact on rare unwanted consequences caused in our regular life in user’s interactions. In order to disperse a large amount of inappropriate and harmful data protruding social networking sites are made as a target platform for the spammers. Twitter is main example that has become one of the important platforms for unreasonable amount of spam in all the tomes for fake users to tweet and promote websites or services that crates a major effect for legitimate users and also it disturbs resource consumption. By resulting the opening for unusual and harmful information there is an increase of fake identities that expands invalid data. Research on current online social networks (OSN) is quite natural for detection of fake users on twitter. In this paper using random forest classifier and ROC curve to detect fake users. 05 30 2020 1293 1296 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5919.059720 https://www.ijitee.org/portfolio-item/G5919059720/ Department of Mechanical Engineering Invertis University, Bareilly, Uttar Pradesh India Sony Yadav* Ishaan Pandey Assistant Professor, Department of Civil Engineering, Invertis University, Bareilly, Uttar Pradesh India One of the most crucial ingredients of municipal waste is plastics. Plastic has been posing a problem of disposal and surrounding pollution difficulties because of their non disposable character. To minimize their surrounding influence and making them to be converted during process of organic waste reusable processes, many materials in a little while back been introduced to enhance the nature of being biodegradable in plastics. In the following review, the speed and scale of mineralization process of a wide range of plastics that are commercially obtained alternative materials were sought out during the process of an anaerobic digestion, composting and soil incubation. The extent of biodegradability was evaluated by critically calculating the scale of carbon mineralized during the process from these materials while incubation under the conditions that imitated those three spaces and by testing of the materials by inspect electron micrographic. The outcome showed that during those 660 days of soil incubation, fundamental mineralization was observed for the material of poly-hydroxyalkanoate plastics; plastics that are starch based and for materials which were made from compost. Moreover, only the plastic based on poly-hydroxyalkanoate-were biodegraded at a speed that is similar to the positive control. Polymers that are synthetic biodegradable have found more resourceful as well as various biomedical and other applications owing to their tailor able plot or improvement. Biodegradable polymers now have been extensively utilized and extensively encouraged the enlargement of biomedical fields due to the tremendous abilities of being biocompatible and biodegradable. The enlargement of the fields of biotechnology and technological improvement of medical field has imposed higher demands of bio-medical materials. Now a day the biodegradable polymers with novel character and specific properties are on high demand. 05 30 2020 1260 1264 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5927.059720 https://www.ijitee.org/portfolio-item/G5927059720/ Associate professor, Chebrolu Engineering College, Guntur, Andhra Pradesh Rajesh kakumanu* M.Gopi Krishna Associate professor, BVRIT Hyderabad college of Engineering for Women, Hyderabad, Telangana V.R. Rao Associate professor, Vidhya jyothi Institute of Technology(A), Moinabad, Telangana P. Pavani Assistant professor, Vidhya jyothi Institute of Technology(A), Moinabad, Telangana C.Chandra Sekhara Associate professor, MallaReddy Engineering College(A), Maisammaguda, Telangana During the past few months, the entire world is being suffering with a dangerous deadly virus named Covid19 or Coronavirus. This pandemic corona virus has washed out thousands and lakhs of people all over the world within months’ time and made all the countries GDP and economic growth collapsed. Accordingly, in India and other countries an important research and innovation investments have been made by various science and technological laboratories that are collaborated with various private and government stakeholders to find new ways to eliminate or kill the pandemic corona virus in human bodies and society. All over the world, the doctors and scientists are working very hard to reduce the rate of death and control the rate of corona spread. Alternatively, the engineers, entrepreneurs, industrialists, technocrats are sorting out and finding new ways to bridge the gap between science and technology by inventing new methods and measurements in medical, societal and service sectors The purpose of the proposed study is to showcase the opportunities of using engineering technology in biomedical and societal applications taking all over the world caused by the corona attack. The introduction of Robots and IOTs made the industries and firms fully smart automated and digitalized. In other perspective, robots were also serving medical sectors since many years successfully in heart surgeries, fighting cancer cells etc. and making the footprints for further research and developments. An attempt is made to highlight the methods and applications of Robots & IOT’s in large extent in medical and societal areas to safeguard from coronavirus 05 30 2020 1265 1273 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5931.059720 https://www.ijitee.org/portfolio-item/G5931059720/ Assistant Professor, Department of EIE, RNSIT, Bengaluru, India. Mrs. S J Savita* MP. Anbazhagan Associate Professor, Department of Civil Engineering, IISc Bengaluru, India. Mr. Abhay A Kulkarni Department of Electronics and Instrumentation Engineering, RNS Institute of Technology, Bengaluru, India. Danish Gufran Department of Electronics and Instrumentation Engineering, RNS Institute of Technology, Bengaluru, India. Dr. Andhe Pallavi Head, Department of Electronics and Instrumentation, RNS Institute of Technology, Bengaluru, India. This paper comprises a step wise method of approximating the size of an underground object using GPR (Ground Penetrating Radar). It involves more than just using predefined filters and techniques. Usage of Trivial method of mathematics to calculate the top surface dimensions of the buried objects is the main purpose of this paper. Problem that is faced that, only the presence of any object can be known using the GPR resource, but not exactly how to derive the size of the object using the same data. This method consists of a dual approach to the problem to make sure that the data that is being given out is accurate. The objectives of this paper are to use the GPR to calculate the top surface dimension of a buried object at a suitable depth according to the frequency. The steps that are incorporated include pre-processing of raw data, determination of ROI (Region of interest) from the pre-processed data, Application of appropriate filters for image processing and estimating surface area and depth of the concealed object. The main reason of this paper is to serve the purpose of detecting what is under the ground in a quick and simpler way using the algorithm proposed. 05 30 2020 1238 1242 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5932.059720 https://www.ijitee.org/portfolio-item/G5932059720/ Assistant Professor, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, India. M. Sreekrishna* Rohini V Department of Computer science and Engineering, Rajalakshmi Engineering College, Chennai, India. Premkumar D. S Department of Computer science and Engineering, Rajalakshmi Engineering College, Chennai, India. N. Sankarram Professor/Head, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, India. Dr. S. Gnanavel Assistant Professor, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, India. Today, the use of medical images is often complicated for diagnosis process and planning of treatment. The major challenge in image processing and fusion includes data mismatching, data storage issues and security constraints. Although several techniques are being used for image processing, they lack in security parameters. Our objective is to provide an efficient method for image fusion techniques along with the security paradigms. In order to provide security, encryption standards are used. The results of improved framework give better performance and quality over existing methods in terms of security, database information, and fusion factor. 05 30 2020 1315 1318 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5939.059720 https://www.ijitee.org/portfolio-item/G5939059720/ Department of Electronics and Communication, Usha Mittal Institute of Technology, S.N.D.T Women’s University, Mumbai, India. Ayantika Nath* Shikha Nema Department of Electronics and Communication, Usha Mittal Institute of Technology, S.N.D.T Women’s University, Mumbai, India. Cutting edge improved techniques gave greater values to Artificial Intelligence (AI) and Machine Learning (ML) which are becoming a part of interest rapidly for numerous types of researches presently. Clustering and Dimensionality Reduction Techniques are one of the trending methods utilized in Machine Learning these days. Fundamentally clustering techniques such as K-means and Hierarchical is utilized to predict the data and put it into the required group in a cluster format. Clustering can be utilized in recommendation frameworks, examination of clients related to social media platforms, patients related to particular diseases of specific age groups can be categorized, etc. While most aspects of the dimensionality lessening method such as Principal Component Analysis and Linear Discriminant Analysis are a bit like the clustering method but it decreases the data size and plots the cluster. In this paper, a comparative and predictive analysis is done utilizing three different datasets namely IRIS, Wine, and Seed from the UCI benchmark in Machine learning on four distinctive techniques. The class prediction analysis of the dataset is done employing a flask-app. The main aim is to form a good clustering pattern for each dataset for given techniques. The experimental analysis calculates the accuracy of the shaped clusters used different machine learning classifiers namely Logistic Regression, K-nearest neighbors, Support Vector Machine, Gaussian Naïve Bayes, Decision Tree Classifier, and Random Forest Classifier. Cohen Kappa is another accuracy indicator used to compare the obtained classification result. It is observed that Kmeans and Hierarchical clustering analysis provide a good clustering pattern of the input dataset than the dimensionality reduction techniques. Clustering Design is well-formed in all the techniques. The KNN classifier provides an improved accuracy in all the techniques of the dataset. 05 30 2020 1297 1302 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee. G5943.059720 https://www.ijitee.org/portfolio-item/G5943059720/ Assistant Professor E & TC Department Nashik District Maratha Vidya Prasarak Samaj’s Karmaveer Adv. Baburao Ganpatrao Thakare College of Engineering Ms. Jagtap Sarika Madhukar* Dr. Gond Vitthal Janardan Professor, E & TC Department, MET's Institute of Engineering Bhujbal Knowledge City, Nashik. The essential requirement of any battery-operated and mobile devices like laptops, cellular phones are that they must be small in size, consume less power, fast processing and cheaper expansion. Gordon Moore found in 1965 that the quantity of transistors on a chip will drive to be twofold every year, by manufacturing the portable devices and building circuit on the silicon chip which makes device cost effective. This drop in size of transistor is termed as scaling. Since scaling faces formidable challenges in nanometer regime, successors have been emerged as FinFET’s. They have thin fin or wing like channels enclosed by several gates. Due to many gates the design helps to improve performance and boost energy efficacy. Present work highlights the role of scaling and how scaling improves the speed of the device. The expectation from the scaled device is to consume as low power as possible, effective in costs and less design time. As we make the instrument more portable, complexity in it becomes infinite. Moore’s law supports us to realize the role of scaling to improve circuit performance and make a portable/mobile device. Here, we design 14nm, 10nm and 7nm Triple gate Fin-FET (TG Fin-FET) and investigate the Drain Induced Barrier Lowering (DIBL) and Short Channel Effect (SCE). By scaling the device DIBL and SCE are reduced giving better performance in terms of power and speed. 05 30 2020 1303 1308 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G6007.059720 https://www.ijitee.org/portfolio-item/G6007059720/ Assistant Professor,Department of Building Engineering, College of Architecture and Planning, Imam Abdulrahman Bin Faisal University, P. O. Box 1982, Dammam 31441. Saudi Arabia. Dr. Altayeb Qasem* Eng. Areej Hamad Mahmoud Hamad Civil engineering department, Isra University Amman Jordan Dr. Emhaidy S. Gharaibeh Associate Professor, Department of Building Engineering, College of Architecture and Planning, Imam Abdulrahman Bin Faisal University, P. O. Box 1982, Dammam 31441. Saudi Arabia. Mr. Tareq M. Abu-khait Lecturer, Department of Interior Design, College of Architecture and Planning, Imam Abdulrahman Bin Faisal University, P. O. Box 1982, Dammam 31441. Saudi Arabia. Mr. Mutaz Falah Gharaibeh Department of Building Engineering, College of Architecture and Planning, Imam Abdulrahman Bin Faisal University, P. O. Box 1982, Dammam 31441. Saudi Arabia. As the intricacy of construction projects is amassed, prospects for tribulations are mounting, depicting negative impact on projects’ cost, time and excellence. Thus, eliciting claims that aredisruptive to projects, time consuming and exorbitant. BIM holds enormousprobable in prosperous claim management practices. The progression of BIM can enrich knowledge sharing for information of a building or facility. It forms a vitalbase for decision making throughout the life cycle phase from the conceptual design to demolition. BIM is also, a valuable multidisciplinary cohesive source of information technology that posts benefits and disputes in the construction industry. The main aspiration of this paper is to appraise how and to what magnitude BIM can help evading and plummeting claims in Jordan construction industry.The paper ran a literature review on recent research, industry reports, and other sources to seehow they identified claims, its classifications, benefits, impacts and challenges of BIM on construction projects.Also, the paper acknowledgedcontemporaneous challenges in the claims field and the construction industry as whole. The attained outcomes have shown that BIM overtakes traditional claim management practices in many aspects including recognizing and investigating claims, where the benefits are comprehended in time and cost savings, less change orders, less rework. Moreover, the information and knowledge management that BIM postulates can improve many aspects of claim management. 05 30 2020 1099 1115 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A2551.059720 https://www.ijitee.org/portfolio-item/A2551059120/ Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. G. Ragu K. Dheeraj Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. M. Rama Mohan Reddy Department of Computer Science and Engineering,SRM Institute of Science and Technology, Chennai, India. B. Venkata Sai Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Object detection is as of now generally utilized in industry. It is the strategy for location and design of genuine items. Models incorporate intermittent scaffold examinations, debacle the executives, power line observation and traffic examinations. As UAV applications become progressively broad, more significant levels of self-sufficiency and free dynamic procedures are expected to improve the security, proficiency and exactness of the gadgets. This article exhibits in detail the method and parameters important for the preparation of convolutional neural systems (CNN) in the programmed acknowledgment of items. The potential areas of utilization in the vehicle division are additionally featured. The precision and unwavering quality of the CNNs rely upon the arrangement of the system and the determination of working parameters. The impact of article recognition shows that by picking a parameter setting course of action, a CNN can recognize and gather objects with a noteworthy degree of accuracy (97.5%) and computational profitability. Moreover, utilizing a convolutional neural system actualized in the YOLO stage (V3), items can be followed, distinguished and characterized progressively. 05 30 2020 224 227 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E3152.059720 https://www.ijitee.org/portfolio-item/E3152039520/ Assistant Profeesor, Department of Computer Science And Engineering, Sri Shakthi Institute of Engineering and Technology Coimbatore Umamaheswari G* Sai Adharsh B UG Student , Department of Computer Science And Engineering ,Sri Shakthi Institute of Engineering and Technology, Coimbatore Shanjeev P UG Student , Department Of Computer Science And Engineering ,Sri Shakthi Institute of Engineering and Technology, Coimbatore Vignesh K UG Student , Department of Computer Science And Engineering ,Sri Shakthi Institute of Engineering and Technology, Coimbatore Thangai Bharathi M UG Student Department of Computer Science and Enginerring Sri Shakthi Institute If Engerring And Technology,Coimbatore In India most of the people are into social networks. Some people are taking advantage of this and spreading fake and irrelevant news in the society. Due to these major riots, culture oriented problems, fake medical messages are spreading over the people. Still there is no technology to identify these problems. Here we are introducing block chain to overcome all the above mentioned problems. Our method finds the solution for these major issues. Using the above mentioned explanation with SHA256 algorithms supports block chain a lot to implement. In case of any changes done in the mid node, using the hash function and SHA 256 algorithm, the man in the middle can be identified. The entire hash should be exactly match with the primary hash. So that data cannot be changed in the middle. In case of any changes occurred the data owner will be get notice. 05 30 2020 738 740 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G4987.059720 https://www.ijitee.org/portfolio-item/G4987059720/