19c96fd517d854497e8-1a2d 20220224041038208 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) (IJRTE) 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 07 30 2020 9 2 Assistant Professor, Department. of EEE, LENDI Institute of Engineering and Technology(LIET), India. B. Sesha Sai B. Satya Sai Assistant Professor, Department. of ECE, VIZAG Institute of Technology(VIZB), India. The main intent and purpose of this paper is to flaunt the rudimentary and homespun idea of reactive power on electrical power systems. Electrical machines such as motors and generators require reactive power for the production of magnetic field. Transformers and transmission lines too obligatory reactive power while they bring up with resistance and inductance contend with the flow of current. The Voltage profile must be uplifted to push this power through line inductance. Suitable reactive power when not used can cause contemplative black-outs. 07 30 2020 880 883 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3961.079220 https://www.ijrte.org/portfolio-item/B3961079220/ Professor and Head, Department of Computer Science and Engineering, Younus College of Engineering and Technology, Kollam, Kerala, India. Dr. Nijil Raj N Abilash Babu Philipose B. Tech Student, Department of Computer Science and Engineering, Younus College of Engineering and Technology, Kollam, Kerala, India. Dency Dominic B. Tech Student, Department of Computer Science and Engineering, Younus College of Engineering and Technology, Kollam, Kerala, India. Indu S B. Tech Student, Department of Computer Science and Engineering, Younus College of Engineering and Technology, Kollam, Kerala, India. Sentiment evaluation of tweets help the enterprises to evaluate public emotion towards the activities or products associated with them. Most of the research targeted to obtain sentiment capabilities with the help of analyzing syntactic and lexical features which can be expressed through sentiment phrases, emoticons, exclamation marks etc. In the proposed paper we introduce a phrase embedding received by means of unsupervised learning(deep learning) on large twitter texts which uses contextual semantic relationships and co-occurrence statistical characteristics between words in tweets and also con- sider the emojis to categorise the emotions whether it is positive or negative by the use of Naive Bayes. In the preceding paper which used usnsupervised learning approach for classification, has an accuracy of 87% and supervised has an accuracy of 89%. According to our context, Naive Bayes has given an accuracy of 100% and CNN has given an accuracy of 100%. As compared to machine learning. It has a higher performance on the accuracy, precision and recall. 07 30 2020 1100 1105 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3963.079220 https://www.ijrte.org/portfolio-item/B3963079220/ PhD Scholar, Shobhit University, AP at MIET, Meerut, India. Swati Sharma* Mamta Bansal Professor at Shobhit University, Meerut, India. The information on WWW has mounted to a greater height, overriding to fledgling analysis in the direction of sentiments using Artificial Intelligence. Sentiment Analysis deals with the calculus exploration of sentiments, opinions and subjectivity. In this paper, multilingual tweets are analyzed for identifying the polarities of various political parties like AAP, BJP, Samajwadi, BSP and Congress; so that the users will get an idea that to which party they should give their vote. The data is being analyzed using Natural Language Processing. Using different smoothening techniques, noise is removed from data, classified by using Machine learning algorithms and then the accuracy of the system is gauged using various evaluation precision measures. The central premise of this research is to benignant common people and politicians both. For common people; is for deciding their precious vote, to which party to give will be good for themselves and nation too. For politicians; they will have an idea about themselves i.e. after seeking the polarities of different parties, the politicians will have an idea which party is preferable and which is not preferable, so that the politicians can work accordingly. The system shows comparison among VADER and SVM algorithm; and SVM algorithm showed 90% accuracy. 07 30 2020 984 989 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3997.079220 https://www.ijrte.org/portfolio-item/B3997079220/ ECE Department, DCRUST, Murthal and UIET, Kurukshetra University, Haryana, India Shikha Bhardwaj* Gitanjali Pandove ECE Department, DCRUST, Murthal, Sonepat, Haryana, India. Pawan Kumar Dahiya ECE Department, DCRUST, Murthal, Sonepat, Haryana, India. Due to a remarkable increase in the complexity of the multimedia content, there is a cumulative enhancement of digital images both online and offline. For the purpose of retrieving images from a vast storehouse of images, there is an urgent requirement of an effectual image retrieval system and the most effective system in this domain is denoted as content-based image retrieval (CBIR) system. CBIR system is generally based on the extraction of basic image attributes like texture, color, shape, spatial information, etc. from an image. But, there exists a semantic gap between the basic image features and high-level human perception and to reduce this gap various techniques can be used. This paper presents a detailed study about the various basic techniques with an emphasis on different intelligent techniques like, the usage of machine learning, deep learning, relevance feedback, etc., which can be used to achieve a high level semantic information in CBIR systems. In addition, a detailed outline regarding the framework of a basic CBIR system, various benchmark datasets, similarity measures, evaluation metrics have been also discussed. Finally, solution to some research issues and future trends have also been given in this paper. 07 30 2020 990 998 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4011.079220 https://www.ijrte.org/portfolio-item/B4011079220/ Department of Electronics and Communication, Mar Baselios College of Engineering and Technology, Thiruvananthapuram, Kerala, India. Ann Lia Jose Athira Soman Nair Department of Electronics and Communication, Mar Baselios College of Engineering and Technology, Thiruvananthapuram, Kerala, India. Joshna Mary Jose Department of Electronics and Communication, Mar Baselios College of Engineering and Technology, Thiruvananthapuram, Kerala, India. Sameer S. Department of Electronics and Communication, Mar Baselios College of Engineering and Technology, Thiruvananthapuram, Kerala, India. Sherry Varghese George Department of Electronics and Communication, Mar Baselios College of Engineering and Technology, Thiruvananthapuram, Kerala, India. Many people all around are having problems by carrying heavy weights on their shoulders and travelling around with trolleys. In busy airports, shopping malls and many other places people often face difficulty with this issue. Housekeeping robots that localize on walking person and follow the path of the user can stand as an advantage to the posed problem. The robotic cart proposed here focuses on reducing the load the user carries. It develops a platform for sending and receiving a signal that would provide a simple and practical means for the robot to determine a path by following the user and avoiding obstacles using ultrasonic sensors and also the ability to self-localize. This reduces the tiring experience faced by people and makes them tension free. The key of the design is to use the Wi-Fi technology to transmit the location of the user to the cart and LoRa technology to give the location of the cart. Meanwhile, together with both the technologies, the proposed design achieves the high feasibility and flexibility of the controllable distance as it follows the user. As a result, the proposed system shows efficiency up to 88%. A follower robot application can be extended to a wide range of fields as in the case of porters at railway stations, loading and unloading goods at factories (civil and industrial fields) and as a helping hand for elderly people thus allowing them to avoid the goods they have to carry along. 07 30 2020 1023 1029 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4018.079220 https://www.ijrte.org/portfolio-item/B4018079220/ Department of Computer Science and Engineering, Younus College of Engineering and Technology, Kollam, Kerala, India. Prof Yasir A* Aiman Salim BTech Student, Department of Computer Science and Engineering, Younus College of Engineering and Technology, Kollam, Kerala, India. Arya Dileep BTech Student, Department of Computer Science and Engineering, Younus College of Engineering and Technology, Kollam, Kerala, India . Anjana S BTech Student, Department of Computer Science and Engineering, Younus College of Engineering and Technology, Kollam, Kerala, India. The Proposed system’s goal is to represent an Autonomous car prototype which uses Raspberry Pi as the core functioning chip and our system use Open CV and Machine learning technology. The proposed system will move automatically without any human help to the destination by itself. The car uses the core processing system as Raspberry Pi, which is interfaced with the Pi camera module, will stream the video to the Monitor as the local host. Based on which the detection like pedestrians, vehicles or road sign and signals are done and corresponding commands are sent to the Arduino serially to operate the car. The Raspberry Pi has functionalities like, traffic signal detection, vehicle detection, pedestrian detection, road sign detection, which aids the proposed system in arriving the proposed or specified place cautiously and timely. Every process is completed using the Raspberry Pi with C++ programming. The methods used for achieving autonomous movement of car are Gaussian Blur, CED and Region of Interest. Assembled robot body by assembling the chassis and wheels of robot car, soldering the motors and fixed them in the chassis, fixed Raspberry Pi, Arduino Uno, motor driver and made the required circuit connections. The proposed system will be a helping hand in the vehicle industry as it will aid in easing the observation needed and tension taken, thereby easing human efforts while driving and minimizes the chance of collisions arising out of human error or law breaking driving resulting in large mortality rates. 07 30 2020 1067 1071 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4033.079220 https://www.ijrte.org/portfolio-item/B4033079220/ Department of Computer Science & Applications, Dr. Harisingh Gour Central University, Sagar, MP ,India. Shrabanti Mandal Girish Kumar Singh* Department of Computer Science & Applications, Dr. Harisingh Gour Central University, Sagar, MP ,India. In this study we propose an automatic single document text summarization technique using Latent Semantic Analysis (LSA) and diversity constraint in combination. The proposed technique uses the query based sentence ranking. Here we are not considering the concept of IR (Information Retrieval) so we generate the query by using the TF-IDF(Term Frequency-Inverse Document Frequency). For producing the query vector, we identify the terms having the high IDF. We know that LSA utilizes the vectorial semantics to analyze the relationships between documents in a corpus or between sentences within a document and key terms they carry by producing a list of ideas interconnected to the documents and terms. LSA helps to represent the latent structure of documents. For selecting the sentences from the document Latent Semantic Indexing (LSI) is used. LSI helps to arrange the sentences with its score. Traditionally the highest score sentences have been chosen for summary but here we calculate the diversity between chosen sentences and produce the final summary as a good summary should have maximum level of diversity. The proposed technique is evaluated on OpinosisDataset1.0. 07 30 2020 150 156 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3288.079220 https://www.ijrte.org/portfolio-item/B3288079220/ Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, India. Urvi Oza* Prof. Pankaj Kumar Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, India. In this paper we present an empirical examination of deep convolution neural network (DCNN) performance in different color spaces for the classical problem of image recognition/classification. Most such deep learning architectures or networks are applied on RGB color space image data set, so our objective is to study DCNNs performance in other color spaces. We describe the design of our novel experiment and present results on whether deep learning networks for image recognition task is invariant to color spaces or not. In this study, we have analyzed the performance of 3 popular DCNNs (VGGNet, ResNet, GoogleNet) by providing input images in 5 different color spaces(RGB, normalized RGB, YCbCr, HSV , CIE-Lab) and compared performance in terms of test accuracy, test loss, and validation loss. All these combination of networks and color spaces are investigated on two datasets- CIFAR 10 and LINNAEUS 5. Our experimental results show that CNNs are variant to color spaces as different color spaces have different performance results for image classification task. 07 30 2020 1011 1018 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4038.079220 https://www.ijrte.org/portfolio-item/B4038079220/ Faculty of Informatics and Computing, Universiti, Sultan Zainal Abidin, UniSZA, Terengganu, Malaysia. Deya Aldeen Bakheet* Azrul Amri Jamal Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, UniSZA Terengganu, Malaysia. Internet of Things technology has become one of the most advanced technologies that will change and change many traditional things and add many advantages to many systems and environment and improve the level of services provided to many users, whether in the field of smart health care or smart homes or smart energy etc.In this paper, we will introduce the concept of the Internet of Things, its applications and components for a broader understanding of (I oT) and try to enable and support the Internet of Things and develop applications that support and improve the efficiency of services and other functions. And the importance of integrating Internet of Things with artificial intelligence and machine learning to assist in the analysis and processing of the enormous data collected by wireless sensors from all fields in order to provide sufficient information and help solve many problems such as the problem of energy consumption and the problem of traffic congestion and pollution, etc. 07 30 2020 962 968 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4042.079220 https://www.ijrte.org/portfolio-item/B4042079220/ Student, Department of Computer Engineering, Pune Institute of Computer Technology, Pune, India. Ajay Mushan Prof. Pujashree Vidap Associate Professor, Department of Computer Engineering, Pune Institute of Computer Technology, Pune, India. Video summarization plays an important role in too many fields, such as video indexing, video browsing, video compression, video analyzing and so on. One of the fundamental units in the video structure analysis is the keyframe extraction, Keyframe provides meaningful frames from the video. The keyframe consists of the meaningful frame from the videos which help for video summarization. In this proposed model, we presented an approach that is based on Convolutional Neural Network, keyframe extraction from videos and static video summarization. First, the video should be converted to frames. Then we perform redundancy elimination techniques to reduce the redundancy from frames. Then extract the keyframes from video by using the Convolutional Neural Network(CNN) model. From the extracted keyframe, we form a video summarization. 07 30 2020 1030 1032 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4043.079220 https://www.ijrte.org/portfolio-item/B4043079220/ Department of Computer Engineering, Dwarkadas J. Sanghvi College of Engineering, University of Mumbai, Mumbai, India. Devansh Shah Ayushi Lodaria Department of Computer Engineering, Dwarkadas J. Sanghvi College of Engineering, University of Mumbai, Mumbai, India. Danish Jain Department of Computer Engineering, Dwarkadas J. Sanghvi College of Engineering, University of Mumbai, Mumbai, India. Lynette D’Mello Asst. Prof., Department of Computer Engineering, Dwarkadas J. Sanghvi College of Engineering, University of Mumbai, Mumbai, India. In this paper, we have tried to predict flight delays using different machine learning and deep learning techniques. By using such a model it can be easier to predict whether the flight will be delayed or not. Factors like ‘WeatherDelay’, ‘NASDelay’, ‘Destination’, ‘Origin’ play a vital role in this model. Using machine learning algorithms like Random Forest, Support Vector Machine (SVM) and K-Nearest Neighbors (KNN), the f1-score, precision, recall, support and accuracy have been predicted. To add to the model, Long Short-Term Memory (LSTM) RNN architecture has also been employed. In the paper, the dataset from Bureau of Transportation Statistics (BTS) of the ‘Pittsburgh’ is being used. The results computed from the above mentioned algorithms have been compared. Further, the results were visualized for various airlines to find maximum delay and AUC-ROC curve has been plotted for Random Forest Algorithm. The aim of our research work is to predict the delay so as to minimize loses and increase customer satisfaction. 07 30 2020 1049 1054 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4047.079220 https://www.ijrte.org/portfolio-item/B4047079220/ Department of Civil Engineering, JSPM’s Rajarshi Shahu College of Engineering, Pune, Maharashtra, India D. S. Yerudkar* R. A. Dubal Department of Civil Engineering, JSPM’s Rajarshi Shahu College of Engineering, Pune, Maharashtra, India, M Rai Sharma Department of Civil Engineering, JSPM’s Rajarshi Shahu College of Engineering, Pune, Maharashtra, India, This research mainly concentrates on ultimate strength and buckling behaviour of cold formed steel (CFS) laterally un-braced longitudinally stiffened box sections under flexure. A total of five various stiffener combinations for box sections has been studied by modifying the shape of a simple end stiffened section by the provision of intermediate stiffeners along web, flange or both along web and flange. The influence of different types of stiffeners with respect to various aspect radio’s (H/T, B/T, C/T and H/B) have been studied using Finite Element Method (FEM), and recommendations have been proposed on provisions of different stiffener’s combinations. This study mainly details with ultimate strength and buckling behaviour of CFS laterally unbraced stiffened box sections made by C sections connected face to face. 07 30 2020 1033 1043 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4052.079220 https://www.ijrte.org/portfolio-item/B4052079220/ Senior Member Technical Staff, Bangalore, India. Keerthi Kumar Narayan Sharan Kumar Paratala Rajagopal Senior Manager, Capgemini America, Inc., Dallas, Texas, USA In a typical Software Development Life Cycle (SDLC), the software testing life cycle consists of reviewing of the requirements, test planning for design, development and execution. Test designing phase is considered as the most vital and foundational in deriving the test cases against the software or the application to be validate. The known fact is that in order to derive an effective test suite generally consumes a lot of manual efforts and good amount of expertise as well. [1] When the testers validate an application for its correct and required behavior, then that system is known as System Under Test (aka SUT), the most common term used in software testing process. Since, this is purely based on a manual approach and testers may not be able to validate all the possible and required scenarios, there may be risk of putting the system for validation. Because, the application may break under a particular use case. This can be overcome by applying Model Based Testing (MBT). 07 30 2020 999 1002 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4053.079220 https://www.ijrte.org/portfolio-item/B4053079220/ Modern Education Society’s College of Engineering, Pune, India. Dr. Mrs. Sharmila K. Wagh Mr. Gaurav Upadhyay Modern Education Society’s College of Engineering, Pune, India. Ms. Usha Bakan Modern Education Society’s College of Engineering, Pune, India. Ms. Nikita Shinde Modern Education Society’s College of Engineering, Pune, India. Ms. Shivani Nimbalkar Modern Education Society’s College of Engineering, Pune, India. Secure data transmission over the unsecured internet is an important aspect in communication. In recent times, data piracy, unauthorized access, loss of crucial information has been one of the important concern in secure communication of data. To provide security over data transmission, multiple techniques are provided each having its own benefits such as cryptography, steganography and watermarking. Cryptography is the technique for modification of data for secured transmission in an unreadable format. Steganography is the process of hiding the cover file with another file and transmitting the cover file without knowing the existence of hidden message. Watermarking is protection technique used to shield the information from intruders. Various combinations of cryptography and steganography is used to make data more secure. Such techniques differ in various aspects which are load capacity, security, efficiency, simplicity, and much more. Watermarking is the most used technique used for copyright protection in media files in recent times while cryptography and steganography are used to protect the data during communication so that the original data cannot be altered. In this paper, various techniques of cryptography and steganography are discussed which are used in the project. 07 30 2020 1044 1048 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4055.079220 https://www.ijrte.org/portfolio-item/B4055079220/ Electronics and Instrumentation Engineering, R.M.K. Engineering College, Kavaraipettai, Chennai Dr.N.M. Jothi Swaroopan A.Mano Garan Electronics and Instrumentation Engineering, R.M.K. Engineering College, Kavaraipettai, Chennai T.Surya Annamalai Electronics and Instrumentation Engineering, R.M.K. Engineering College, Kavaraipettai, Chennai E.Sai Teja Electronics and Instrumentation Engineering, R.M.K. Engineering College, Kavaraipettai, Chennai Field instruments used in boiler water treatment plant are not able to access remotely and only able to control through central location Also the data are able to access through the internet only in the particular area. If any data lag or system failure occurs then it can be control only in the plant area. This becomes complex and cannot be applicable for all situation. To avoid such complexity happened due to system error and to monitor the system parameter remotely, a cloud based system from Siemen is used to connects plant, system and machines by IoT with advanced analytics and practically tested in Technocart Automation plant located in Ambattur, TamilNadu, India. This gives advance solution for monitoring the industrial parameter anywhere using Siemens Mindsphere and Mind connect nano Software. 07 30 2020 1003 1006 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4062.079220 https://www.ijrte.org/portfolio-item/B4062079220/ School of Computer Science and Mathematics, University of Central Missouri, Warrensburg, USA. Deepika Srinivasan Dr. Mahmoud Yousef School of Computer Science and Mathematics, University of Central Missouri, Warrensburg, USA. Identifying the quality of fresh produce while procuring is a major task that involves time and human effort in the retail industry. The main objective of this project is to identify and classify whether the apple fruit is fresh or rotten using Convolutional Neural Networks. The outcome of our study resulted in 97.92 percent accuracy for the 2 classes of approximately 5031 images in the classification, by identifying apples using Resnet 50 and then classifying them using the proposed model. 07 30 2020 1055 1059 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4063.079220 https://www.ijrte.org/portfolio-item/B4063079220/ Assistant Professor, School of Computing Science and Engineering, Galgotias University, Greater Noida, India. Gokul Rajan V* Swechchha Sharma Student, Department of Computer Science and Engineering, Galgotias University, Greater Noida, India. Biometric Recognition is process which plays a vital role in many fields like security, authenticity, identification. The term biometric is the biological parts of humans which have a unique feature to isolate the individuals. Iris, fingerprint, palm, vascular pattern, voice, signature, face, DNA are the biometrics which are available in the world. Still there are few more biometric exist with unique feature like sclera, the white area of an eye. Blood vessels in sclera area have the unique pattern for every individual. In order to recognize the individuals features if sclera has also used but still how to isolate the feature from the eye image is a question mark. The challenge is the sclera has been surrounded by iris, eyelid and eyelash. Many procedures and methods has been introduced to segment the sclera form the eye but still the efficiency of the approaches has to be evaluated because segmentation accuracy will affect the recognition accuracy. The comparison has been tabulated and the analysis results are briefed in the result. 07 30 2020 1072 1076 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4066.079220 https://www.ijrte.org/portfolio-item/B4066079220/ M.E Structural Engineering student, Coimbatore Institute of Technology, Coimbatore, Tamil Nadu, India Mr.B.Naufal Ahamed* Dr. Suyamburaja Arulselvan M.E., Ph.D., Associate Professor, Department of Civil Engineering, Coimbatore Institute of Technology, Coimbatore, Tamilnadu, India. This paper summarizes the analytical investigation of two dimensional single bays two storeys RC frame with Aerocon block, Reinforced brick masonry and Diagonal Strut under lateral cyclic loading. The paper analytically determines the behaviour of the RC frame with Aerocon block masonry, Reinforced brick masonry and Diagonal Strut under equivalent static lateral cyclic loading conditions. The preliminary test such as compression test on prisms for the infill panels were done experimentally and the values were incorporated in the analytical modeling. Analytical works have been conducted using ANSYS software. The frames were subjected to lateral cyclic loading and the behaviors such as Load carrying capacity of the frames, Load-deflection behaviour, Stiffness degradation, have been determine. The results of all the three frames were compared. 07 30 2020 1077 1085 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4075.079220 https://www.ijrte.org/portfolio-item/B4075079220/ Research Scholar (FT), Dept. of Library & Information Science, Alagappa University, Karaikudi, India, P. Pitchaipandi Dr. C. Baskaran Librarian & Research Supervisor, Central Library, Alagappa University, Karaikudi, India. The social Networks and Media exchange information, ideas and pictures/videos in virtual communities and networks. The assessment of this study to convey. The role and consumption of Social Networks/Media Research Communication by the Students and Research Scholars’ Social Science at Alagappa University, Karaikudi, Tamilnadu. A sample size of 154 students and Research scholars was selected purposive sampling method. The data were collected by the make use of the questionnaire. The findings of the study: (55.2%) of them participants Male. Whereas (30.5%) of them category of age group of 20-25. (33.8%) Post graduates second year students while that reported (31.2%) Economics and Rural Development/ History. It followed by the majority (46.1%) of them participants using Internet browser, Google Chrome, whereas (25.3%) participants using SNs/Media devices for Facebook. (25.3%) participants exhausting CiteULike for Reference Management Software. It followed by using Research Citation Indexes for Google Scholar 72 (46.8%) of them participants respondents respectively. 07 30 2020 1106 1110 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4084.079220 https://www.ijrte.org/portfolio-item/B4084079220/ Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Republic of Korea. Ye-lim Kang Tae-ho Cho* Department of Computer Science and Engineering, Sungkyunkwan University, Suwon, Republic of Korea. Fine dust is a harmful particulate substance floating in the air and is divided into PM10 (which is 10 um in diameter or less) and PM2.5 (which is 2.5 um in diameter or less). Fine dust is a major cause of chronic respiratory diseases, which may occur naturally through forest fires or yellow dust, but it is mainly caused by combustion of fossil fuels such as oil and coal, or by automobile exhaust gases. When this type of bad outdoor fine dust flows into buildings, the indoor air becomes polluted, making it easier for workers or students who spend a lot of time indoors to be at risk for chronic respiratory diseases. To minimize this risk, recent research and development has focused on systems to purify indoor air by filtering fine dust. In this paper, we introduce a Wireless Sensor Networks (WSNs)-based Internet of Things (IoT) air purification system. In the WSNs-based IoT air purification system, it is important to maintain the integrity of the sensing data because the IoT air purifier operates based on the sensing data detected by sensor nodes. To defend the IoT air purifier against false report injection attacks, the existing fuzzy-based Interleaved Hop-by-Hop Authentication (IHA) detects false report injection attacks through Data Calibration. In addition to the existing fuzzy-based IHA sets, the security limit changes according to the network situation using fuzzy logic and adjusts the security and energy. However, the existing fuzzy-based IHA executes a fuzzy system every time it detects a normal event or false report injection attack, which requires additional message overhead and increases the transmission/reception energy, which increases the energy burden of the sensor nodes. To address this problem, we propose a method to control the operation cycle of the fuzzy system using the evaluation function. This proposed method has the advantage that the trade-off relationship between energy and security can be appropriately used to adjust the operation cycle and increase the lifetime of the network. 07 30 2020 1126 1131 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4089.079220 https://www.ijrte.org/portfolio-item/B4089079220/ Assoc. Prof, Vindhya Institute Of Technology and Science, Hyderabad B. Ratnakanth* Dr.K.Venkata Ramana Asstt.Prof. Andhra University, Visakhapatnam Smart contracts are programs, which are stored in a decentralized network i.e. Block chain. These are written by users to develop decentralized applications using different platform like Ethereum and bitcoin. In current scenario, even though blockchain support features like security and transparency. Because of solidity language vulnerability, there is a possibility of attacks on smart contracts in blockchain. So, to avoid those attacks like i.e. Locked Ether, Transaction order dependency and Time stamp dependency. We discussed, analyzed and tested these attacks in this paper. Further, in our project supply chain management for textile industry using block chain technology, we have developed smart contract using solidity language on Ethereum Platform. With the aim of protecting our project from these attacks, we are thoroughly and experimentally analyzed. And based on the experimental observations, we are going to protect our project from these attacks. All the above mentioned attacks are thoroughly studied and experimentally tested on Ganache, Ropston test network, Rinkeby test network using Remix IDE in JVM, injectedweb3and web3 provider environments. Finally, we have suggested security measures to protect from these attacks 07 30 2020 1086 1094 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4091.079220 https://www.ijrte.org/portfolio-item/B4091079220/ Department of Mathematics and Statistics, Gurukula Kangri University, Haridwar Uttarakhand, India. Shailendra Giri* Pradeep Kumar Yadav Department of Research Planning and Business Development, Central Building Research Institute, Roorkee 247667, Uttarakhand, India. Harendra Kumar Department of Mathematics and Statistics, Gurukula Kangri University, Haridwar Uttarakhand, India. In December 2019, human history is observing a very strange time fighting an invisible enemy, the novel corona virus (COVID-19). Initially emerged in Wuhan, China and has swiftly spread to other parts of China and a number of foreign countries around the world. There is a current worldwide outbreak of a new type of corona virus (COVID-19). Governments are under increased pressure to stop the outbreak spiralling into a global health emergency. A series of mandatory actions have been taken by the municipal and provincial governments supported by the central government, such as measures to restrict travels across cities, contact tracing and case detection, guidance, quarantine and information to the public etc. At this stage, preparedness, transparency and sharing of information are crucial to risk assessments and beginning outbreak control activities. The main objective of this paper is to develop a neural network based algorithm involving lockdown condition between hidden layers for checking the level of COVID-19 infection risk from the pandemic data. The results show that India is in a good condition in comparison of other countries due to timely implementation of the lockdown. 07 30 2020 1111 1118 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4097.079220 https://www.ijrte.org/portfolio-item/B4097079220/ EEE, Engineering Management Technical Campus, Greater Noida,UP, INDIA Ritesh Rai* Anand Kumar Pandey EEE, JSS Academy of technical education, Noida. Anshu Parashar EEE, Engineering Management Technical Campus, Greater Noida,UP, INDIA Dr. Sujatha K S EEE, JSS Academy of technical education, Noida. Inappropriate selection of location and corresponding size of Distributed Generator (DGs) in electrical network may have increased power losses in the system. Application of incorporating DG in system has eased the problem of high power losses, voltage stability, low reliability and poor power quality. This paper suggests a simple and efficient load flow technique known as direct load flow method to find the optimal allocation of Type-3 DG in the distribution system. The presented method was developed and tested in two distribution networks with varying size and complexities and the effect of size and location of DG with respect to real power losses while maintaining the voltage profile of system within limits is examined with verification and discussed in detail. 07 30 2020 1200 1207 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4106.079220 https://www.ijrte.org/portfolio-item/B4106079220/ Electronics and Communication Engineering, Vellore Institute of Technology, Chennai, India. Aashika Perunkolam Makshi P Baskaran Electronics and Communication Engineering, Vellore Institute of Technology, Chennai, India. Sarrthak Tripathi Electronics and Computer Science Engineering, Vellore Institute of Technology, Chennai, India. Om Prakash Sahu Electronics and Computer Science Engineering, Vellore Institute of Technology, Chennai, India. Water Management includes four major processes, namely, estimating the amount of water readily available to be distributed, the measurement of the quality of water, distribution of water to different sectors of the city based on the quality and finally to provide a platform to monitor this distribution from anywhere and by anyone. All these processes, are currently treated as separate modules, but the integration of these four models, enhances water conservation and creates a social awareness since the proposed cloud platform can be accessed by everyone, and they are made aware, in advance, about the quality and amount of water they are going to get for the week, so that they can use the water wisely. In this paper we discuss our new and improved proposed model which not only integrates the existing four modules but also optimizes the distribution path based on algorithms for the fastest coverage. This is turn provides a short and concise solution to water management which is more user friendly and can reach more people, hence spreading more awareness. The lack of coordination between the current quality measurement and distribution system calls for an integrated system. This system predicts the rainfall to prepare the system for the amount of softener required to soften the water which acquires calcium and magnesium as it makes its way into other natural rivers. This water management system can be setup both on a small scale and a large scale. The smaller water management system setup in villages can be interconnected to make a larger water management system that can be centrally controlled from cities which helps in ensuring water distribution even in the smallest towns and villages. 07 30 2020 1189 1194 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4115.079220 https://www.ijrte.org/portfolio-item/B4115079220/ Department of CSE, MSRIT, Bangalore, India. Rashmi P Prashanth Kambli Assistant professor, Department of MSRIT, IS&E, Bangalore, India. In today’s scenario, it is very essential in the development phase of a software, predicting a bug and to obtain a successful software. This can be achieved only through predicting some of the faults in the earlier phase itself such that, it can lead to have a reliable, efficient and a quality software. The challenging task here is to have a well sophisticated model that can predict the bug leading to a cost-effective software. In order to achieve this, few machine learning algorithms are used that produce accuracy with trained and test datasets. A variety of machine learning methodologies have been developed to learn and detect a bug in a software. In this paper, we perform the analysis on detecting a bug in a software using machine learning methods which is very much useful for Software Industries. It summarizes the existing work on detecting a bug in a software by providing the information about various methods involved in bug prediction and points out at the accuracy obtained by the existing methods, advantages, and the drawbacks while working with bug prediction. 07 30 2020 1195 1199 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4119.079220 https://www.ijrte.org/portfolio-item/B4119079220/ Assistant Professor, Department of Medical Electronics, Dayananda Sagar College of Engineering, Bangalore, Karnataka, India. Sushrutha Bharadwaj Dr. V.G. Sangam Professor and Head, Department of Medical Electronics Engineering, Dayananda Sagar College of Engineering, Bangalore, India. Yashodhara Bora Student, Department of Medical Electronics, Dayananda Sagar College of Engineering, Bangalore, India. Devaki Menon Student, Department of Medical Electronics, Dayananda Sagar College of Engineering, Bangalore, India. Sonal Priyadarshan Student, Department of Medical Electronics, Dayananda Sagar College of Engineering, Bangalore, India. Thrisha Chandru Student, Department of Medical Electronics, Dayananda Sagar College of Engineering, Bangalore, India. Cognition is the capacity of the brain to register and decipher data dependent on information and experience. A portion of the subjective aptitudes are processing, memory and retention, logic and reasoning, attention and so forth. The subjective abilities begin to grow directly from the hour of birth of a person. There are situations where these advancements don't happen at the opportune time or in a proficient manner, which prompts scholarly disorders. The most commonly found intellectual disorders in children are attention deficit hyperactivity disorder (ADHD), epilepsy, encephalitis, autism spectrum disorder (ASD) and speech disorders. There are cognitive tasks and retraining intended for each sort of cognitive issue. These are planned so as to improve the cognitive degrees of the children who experience the ill effects of cognitive issues, for an improvement in their everyday lives. This paper gives an overview of some of the existing techniques for the improvement of cognitive levels along with the techniques of EEG analysis. The activities in the brain can be traced with the help of an electroencephalogram (EEG). Cognitive levels can also be studied with the help of EEG. The study that involves cognition requires careful pre-processing, feature extraction and appropriate analysis. The processed EEG information is analysed utilizing various techniques which can extensively be ordered into time domain, time frequency domain, frequency domain, non-linear methods and artificial neural network methods. Out of every one of these strategies, the frequency domain techniques and time-frequency strategies are most popularly used. 07 30 2020 1146 1152 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4127.079220 https://www.ijrte.org/portfolio-item/B4127079220/ Post Graduate, Microwave and Television Engineering at College of Engineering Thiruvananthapuram Gouri V. Sreeni K G is a fa faculty in Electronics and Communication Engineering at College of Engineering Thiruvananthapuram The factors which impose an upper limit on data rates in high speed optical systems have been explored. A 64Gbps system has been designed and simulated using a combination of Wavelength Division Multiplexing (WDM) and Polarization Division Multiplexing (PDM) employing soliton(secant hyperbolic pulse) transmission. The possibility of Gordon Haus jitter and adjacent pulse interaction, which curtails performance of very high speed systems, has been ruled out by use of multiplexing in multiple domains. The Polarization Mode Dispersion (PMD) has also been evaded by limiting the data-rate of individual channels to 8 Gbps. This also permits use of components with relaxed specifications, when compared to single channel realizations. In this work a 64 Gbps WDM-PDM based system employing secant hyperbolic pulses at 8Gbps over a distance of 1000km has been simulated. It yields an average bit error rate of 10-10 07 30 2020 1119 1125 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4129.079220 https://www.ijrte.org/portfolio-item/B4129079220/ UG Student, Dept. of Information Technology, Sri Sairam Engineering College, Chennai, India. Aniruth. R Suresh Kumar. M Asst. professor, Dept of Information Technology, Sri Sairam Engineering College, Chennai, India. Gokulakrishnan. R UG Student, Dept. of Information Technology, Sri Sairam Engineering College, Chennai, India. Maintaining the energy usage with minimal power loss throughout the supply chain is of the major issues faced in many small-scale sectors or even in households of today’s world. Even though Power transmission can play a cardinal role in the supply chain, monitoring the transmission lines for energy leakage or any faulty connections is critically important. There have been several measures taken to come up with a better solution but, the problem of finding a consistent method for monitoring the power leakage is still at peril. There are actually many ways of saving the energy by mitigating the usage and preventing the loss of energy due to over usage and wastages, for this a thorough monitoring and study of the usage should be done. If the electricity usage pattern of the concerned is identified, then it will be facile to come up with a solution for the problem at hand. The electricity wastage constituted by all the countries aggregated is found out to be around 8.25%, which is considerately large given that many places around the world does not even have access to electricity. So, there is a need to find a better solution for this problem. After conducting a thorough study on the electricity usage pattern of several households we are proposing a method which is an ensemble of machine learning algorithms, Internet of Things, sensors, Embedded systems. Using an IoT device we’ve designed we monitoring and collecting electricity usage in households in a time based manner. These collected data is stored in the database and is processed and fed into machine learning algorithm to predict the upcoming month’s electricity usage. This predicted data is then fed into another algorithm to provide recommendations to the user to reduce the electricity consumption according to their usage interests. Thus reducing the cost significantly. 07 30 2020 1153 1160 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4130.079220 https://www.ijrte.org/portfolio-item/B4130079220/ Department of Information Technology, Meru University of Science and Technology, Meru, Kenya. Samson Wanjala Munialo* Geoffrey Muchiri Muketha Department of Computer Science, Murang’a University of Technology, Murang’a, Kenya. Kelvin Kabeti Omieno Department of Information Technology and Informatics, Kaimosi Friends University College, Kaimosi, Kenya. Enormous development has been experiences in the field of text and image extraction and classification. This is due to large amount of image data that is generated as a result of document sharing for collaborative software development and electronic storage of design documents. One of the recent technique for analyzing large dataset and discover underlying patterns is Deep learning technique. Deep learning is a branch of Machine learning inspired by human brain functionality for the purpose of analyzing unstructured data including images, sound and text. Unified Model Language (UML) is an architectural design which provides developers with a view of software components and scope. UML contain texts and notations which are mostly analyzed and interpreted manually for the purpose of system implementation and scope or size measurement. Consequently, manual processing of electronic design artifacts is prone to bias, errors and time consuming. Various researchers have attempted to automate the process of reading and interpreting design artifacts but still there is a challenge due to varying style of designing these artifacts. This study propose an automatic tool based on existing deep learning algorithms including ResNet50 CNN to read UML interface and sequence diagrams images to detect UML arrows, EAST test detector to detect text, Tesseract OCR with Long Short-Term Memory (LSTM) to recognize text and Multi-class Support Vector Machine to classify text for the purpose of measuring Service Oriented Architecture size. We subjected the tool to accuracy tests which returned encouraging results. 07 30 2020 1132 1137 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4131.079220 https://www.ijrte.org/portfolio-item/B4131079220/ department of EEE, Dayananda Sagar college of Engineering, Bengaluru, India. Aammat ul Ayesha Dr. Dhanalakshmi R department of EEE, Dayananda Sagar college of Engineering , Bengaluru, India. This paper presents the closed loop control scheme of the semi-sepic coupled inductor based DC DC converter using a PID controller, enhancing the overall performance of the system. The PID controller usually enhances the transient and steady state performance of the system. The objective here is to maintain the output voltage of the DC/DC converter constant irrespective of the variations in the input/source voltage, components and load current. The implementation of the proposed scheme is done using the blocks of MATLAB Simulink and the model is tested with the controlled voltage source by giving some disturbance at the input where the output is well regulated irrespective of the changes in the input/source voltage. Comparative analysis on the performance of the converter with and without PID controller is carried out using MATLAB Simulink. The output voltage of the converter with PID controller is regulated under disturbed input voltages. 07 30 2020 1165 1169 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4132.079220 https://www.ijrte.org/portfolio-item/B4132079220/ School of Electronics Engineering, Vellore Institute of Technology, Chennai, India. Aashika Perunkolam V. Berlin Hency School of Electronics Engineering, Vellore Institute of Technology, Chennai, India. Most skyscrapers require their glass windows to be cleaned not only on the inside but on the outside as well since dust, rains, birds, etc. can cause stains on them. This cleaning process is often carried out by people who dangle from the top of the building using a rope and carry liquid soap and other cleaning equipment required to manually clean all the windows. Not only is this operation extremely time consuming, but it is also highly dangerous. The proposed work aims at automating this cleaning operation using a spider-like robot. The body of the robot is made of two octagonal plates with six legs at six vertices, each having a degree of freedom of three and a suction cup at its end. The remaining two vertices can have cleaning arms and the bottom of the robot consists of a rotating cleaner. Cleaning resources like water and soap are placed in-between the two plates. The robot climbs the wall due to the suction provided by the hydraulic force of steam at high pressure which is controlled and programmed using the Robotic Operating System. Six legs of the robot which comprise of eighteen double shaft NEMA-17 motors are controlled using Arduino Mega and are synchronized using ROS. The tripod gait mechanism is used to move forward and pressurized steam is used to provide the suction required to hold on to the wall. This robot can be extended to perform other applications like painting a wall, or can be used in an industry to detect any gas leak or perform any assembly and transport operations. 07 30 2020 1170 1174 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4146.079220 https://www.ijrte.org/portfolio-item/B4146079220/ Department of Medical Electronics, Dayananda Sagar College of Engineering, Bangalore, India. Yeshaswini. V Tejaswi. S. P Department of Medical Electronics, Dayananda Sagar College of Engineering, Bangalore, India S. Hema Priyadarshini Department of Medical Electronics, School of Bio Science and Technology, VIT University, Vellore, India. Shaik Thahaseen Department of Medical Electronics, Dayananda Sagar College of Engineering, Bangalore, India. Varun Kumar Department of Medical Electronics, Dayananda Sagar College of Engineering, Bangalore, India. Diagnosing the heart disorders is major challenge because of their short–lasting and intermittent character. The convincing technologies with non–invasive heart rate monitoring systems acquire Electrocardiogram (ECG) have limitations with reference to sensitivity. There are different types of wearable, flexible electrocardiogram sensors that can yield important information about underlying physiological parameters of human for applications related to real time monitoring of health, fitness, and wellness. Sensors with leads are all derived using three electrodes which are used to pick the electrical activity from a different position on the heart muscle. Lead-less sensors are now widely used for acquisition of ECG and related signals for heart rate monitoring which has more advantages compared to other sensors. Henceforth, various sensors are studied to understand their relation with heart rate monitoring. It is inferred that MAX30100 sensor can improve the accuracy of ECG recordings for early detection of cardiovascular diseases. 07 30 2020 1175 1178 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4155.079220 https://www.ijrte.org/portfolio-item/B4155079220/ Department of Computer Science & Engineering, Sandip University, Nashik, India. Khushal Khairnar* Sajidullah Khan Professor, Department of Computer Science & Engineering, Sandip University, Nashik, India. Diseases are decreasing production of plants. At present, farmers are identifying, diagnosing diseases and monitoring health in plants by their own knowledge and experience. Naked eye observation by farmers and experts on big plantation areas cannot be possible each time and it can be expensive. Accurate identification of visually observed diseases, symptoms and controls has not studied yet. Therefore a fast automatic, economical and accurate system is an essential research topic that may improve in leaf disease detection of plant disease. The proposed automatic early leaf spot disease segmentation on leaf of cotton plant system is based on image processing and machine learning where segmenting the three major diseases such as Bacterial Blight, Alternaria leaf spot and Cercospora leaf spot. Initially, the infected leaf images are captured from cotton plant fields by using a digital camera. Scaling, background removing and color conversion are done in the preprocessing phase. After preprocessing, the infected region is obtained by using K-means clustering algorithm. The infected region can be applied for detecting the diseases on cotton plant. 07 30 2020 1161 1164 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4157.079220 https://www.ijrte.org/portfolio-item/B4157079220/ Assistant Professor, Department of Electronics and Communication Engineering, P. D. A. College of Engineering, Kalaburagi, India. Padmapriya Patil* Dr. R. N. Kulkarni Prof. & Head, Department of Computer Science & Engineering, BITM, Ballari, India. In the present era of high speed computation with the multicore and other parallel processors in the computational field, there are still some organizations which rely on their old software systems developed years ago, which over the time have been subjected to continous development by different developers. Even though these softwares persist with the old and little in use technology, they still work to satisfy the operational demands of the organizations and have kept them going in the competetive industry. These systems which have with time grown into legacy, embed the major business functionalities of the organization, which is but effort of years. Hence a methodology is required to rebuild the legacy system to make them suitable for execution on to the present computation systems. The paper discusses a research work, wherein work is done to realize points of latent parallelism in a sequentially executing legacy ‘C’ program which is initially restructured and the design information abstracted. A technique using finite state machine is proposed to identify tasks, events, processes and jobs in the program, which helps to locate functionally independent computational units in the program. Furthur using the slicing technique, slicing is performed to extract out the appropriate lines of codes defined by the slicing criteria, which assembled together form a functionality that can be executed in parallel with other extracted functional modules or computational units on any parallel computational platform. 07 30 2020 1179 1183 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4158.079220 https://www.ijrte.org/portfolio-item/B4158079220/ CSE, Amity University, Noida, India. Ayushi Sharma Dr. Shipra Shukla Asst. Prof., CSE, Amity University, Noida, U.P., India. To settle on right choices and pass on about vital control measures, numerous flare-up expectation models for anticipating COVID-19 are getting utilized all round the world. Straightforward conventional models have indicated extremely less precision rate for future forecast use, because of more significant levels of vulnerability and absence of proper information. Among the different machine learning model algorithms contemplated, an ensembled model was seen as giving the best outcomes. Because of the multifaceted nature of the virus's temperament, this research paper recommends machine learning to be an extremely helpful gadget to consider in case of the ongoing pandemic. This paper gives a colossal benchmark to call attention to the probability of machine learning to be utilized as an instrument for future exploration on pandemic control and its timely prediction. Moreover, this paper delineates that the best prompts for pandemic prediction are frequently comprehended by combining machine learning, predictive analytics and visualisation tools like Tableau. The main purpose of this research is to build a perfect ML model prototype which can be later used when access to appropriate dataset (which is both large and consists of many different features) is available. Also, the secondary aim is to automate the process of reporting so as to facilitate quicker action by the concerned authorities, and help common people reach out to the correct destination for treatment or help. Furthermore, the Tableau analysis performed on the dataset is to provide more analytical depths for people with expertise in the medical domain. 07 30 2020 1220 1225 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4164.079220 https://www.ijrte.org/portfolio-item/B4164079220/ Civil Engineering, Engineering Faculty Universitas Negeri Padang, Padang, Indonesia. Nurhasan Syah Syaiful Haq* Civil Engineering, Engineering Faculty Universitas Negeri Padang, Padang, Indonesia. Nizwardi Jalinus Mechanical Engineering, Engineering Faculty Universitas Negeri Padang, Padang, Indonesia. Ambiyar Mechanical Engineering Faculty Universitas Negeri Padang, Padang, Indonesia. This research was done because of the covid-19 pandemic. One regulation impact of this pandemic is social distance, so it disturbed the implementation of learning because students did not allowed to learn face to face in a room or at campus. They must learn from home by online learning. This regulation was not a problem for some courses, but it was not easy for practice course because students need tools and do demonstration in laboratory or workshop. This descriptive qualitative reseach was done to observed people who involved in specific teaching method course in the mechanical engineering department of Universitas Negeri Padang (UNP). The key of this research are about data observation, triangulation, careful examination, then data reduction, presentation, and conclusion. The research result stated that; 1) there was no changes in the substance of the learning planning during covid-19, 2) the implementation of practice learning was done by fully learning during covid-19, student and lecture did communication by using whatsapp, e-mail, zoom cloud meeting, UNP’s e-learning, and others tools such as youtube, 3) the assessment of learning was done by testing and observation. 07 30 2020 1184 1188 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4167.079220 https://www.ijrte.org/portfolio-item/B4167079220/ Assistant Professor, Department of E&TC Engineering, Shrimati Kashibai Navale College of Engineering, Pune, India. Ms. Anuradha S. Pandit Dr. Vaibhav Vitthalrao Dixit Principal and Director, Department of Engineering, RMD Sinhgad Technical Institutes Campus, Warje, Pune, India. Oral cancer is having 6th rank out of all cancers in the world. There might be tumor in salivary glands, tonsils and also in neck, head, face and oral cavity. Oral cancer can be diagnosed with methods like biopsy or with screening method. In biopsy method small sample of tissue is being removed from affected part of the body and tested under microscope. But biopsy is invasive and painful. Also pathological analysis of it is time consuming. Screening method is non invasive. Early detection is possible with screening method which is necessary for improvement of survival rate. This paper presents different screening methods for detection of oral cancer. Optical Coherence Tomography and a variety of Machine Learning based techniques, including Artificial Neural Networks (ANNs), Bayesian Networks (BNs), Tree Boost Model are discussed in this paper. 07 30 2020 1143 1145 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4177.079220 https://www.ijrte.org/portfolio-item/B4177079220/ Chief Information Officer, Information Technology Industry, India. Dr. Jitendra Mohan* With an increase in the mobile penetration in India, m-Agriculture is getting more popular among Farmers to get information about weather, crops, and market prices. The basic issues are that of information asymmetry and individual user’s acceptance for the m-Agriculture among Indian farmers as an effective information sharing tool. The present study focuses on validating Unified Theory of Acceptance and Use of Technology (UTAUT) model for m-Agriculture among India Farmers and acceptance of m-Agricultural services. The study is being conducted in Western Uttar Pradesh and adjacent districts of Haryana in India. The region of India known for green revolution and cash crop farming and contributes a large quantity of food grains to Indian granary. The study also ascertains the benefit of mobile services by the Indian farmers. 07 30 2020 814 818 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4287.079220 https://www.ijrte.org/portfolio-item/B4287079220/ Professor at the Department of “Building Structures” of the Faculty of “Construction of Buildings and Structures” of the Tashkent Institute of Architecture and Construction, Tashkent, Uzbekistan. Mirzaev Pulat* Umarov Kadir Chief Engineer of the “GEO BETON TRUST” Reinforced Concrete Products Plant, Tashkent, Uzbekistan. Mirzaev Shavkat Director of the Innovation Center at the Tashkent Institute of Architecture and Construction, Tashkent, Uzbekistan. When designing buildings and structures for various purposes, the specialists should find new decisions for the possibility of using structures made using the long-line formwork-free technology, including hollow-core floor slabs, namely: installation without free lengths of reinforcement, lifting without the tie-down loops, joint units with other structure elements, configuration of sections with new geometrical parameters. As the hollow-core slabs of formwork-free shaping are produced without tie-down loops, the problems of installation and transportation of these slabs are discussed. Examples of tie-down nodes installation in the slabs produced by the formwork-free shaping technology were considered in the paper, with the justification of the complexity of their installation in such slabs and the increased metal consumption. The aim is to reduce the laboriousness of rigging work and to provide a gripping device for a hollow-core slab of formwork-free shaping when removing it from a long-line pallet, storing, loading and installing this slab during the construction process. A constructive-technological decision was proposed for a tie-down node installed in the slab body without the use of a tie-down loop and having only an anchor rod-dowel through which the tie-down of a slab could be directly done without the use of traditional tie-down loops. The node was designed with reduced metal consumption and does not change the technology of manufacturing hollow-core slabs of formwork-free shaping. The theoretical basis for calculating the bearing capacity of the proposed tie-down node, installed in a hollow-core slab of formwork-free shaping was determined and summarized. It was revealed that the bearing capacity of the proposed tie-down node installed in the body of a hollow-core slab, under the action of lifting loads, depends on the splitting force of concrete protective layer located above the anchor rod-dowel of this node (all things being equal). The theoretical data of the study were validated by full-scale tests of slabs with tie-down nodes installed in their body, carried out in accordance with the proposed structural-technological development. The operational suitability of the proposed tie-down nodes with an anchor rod-dowel for the hollow-core slabs of formwork-free shaping and the possibility of their implementation at other enterprises of the country having production lines for long-line formwork-free shaping were stated. A tie-down node with an anchor rod-dowel, proposed to be installed in a hollow-core slab of formwork-free shaping, can be used in other reinforced concrete structures produced by the technology of long-line formwork-free shaping. A patent for a utility model has been received for the development of a loop-free tie-down node for a hollow-core slab of formwork-free shaping. 07 30 2020 793 798 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4293.079220 https://www.ijrte.org/portfolio-item/B4293079220/ Ambalika Institute of Management & Technology, Mohanlal Ganj Lucknow Alok Mishra P. K. Dwivedi Ambalika Institute of Management & Technology, Mohanlal Ganj Lucknow Kamlesh Singh Ambalika Institute of Management & Technology, Mohanlal Ganj Lucknow This paper refers to study of industrial robot (KUKA KR16-2), in which we have considered the matrix decomposition and tensor decomposition model in rotational motion. We have considered robotic matrix & Tensor and defined a modal product between robot rotation matrix and a tensor Further we have proposed the third order tensor for the motion of Industrial robot and tried to find out the useful result. At last we have shown that the tensor model is providing alternate way to find the solution. 07 30 2020 688 690 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4302.079220 https://www.ijrte.org/portfolio-item/B4302079220/ Assistant Professor, Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Tamil Nadu, India. Dr. G. DEEPA Dinesh. B Student, M.Sc Data Science, Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Tamil Nadu, India. Naveen Kumar. K Student, M.Sc Data Science, Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Tamil Nadu, India. Rainfall prediction is a significant part in agriculture, so prediction of rainfall is essential for the best financial development of our nation. In this paper, we represent the linear regression method to predict the yearly rainfall in different states of India. To predict the estimate of yearly rainfall, the linear regression is implemented on the data set and the coefficients are used to predict the yearly rainfall based on the corresponding parameter values. Finally an estimate value of what the rainfall might be at a given values and places can be establish easily. In this paper, we demonstrate how to predict the yearly rainfall in all the states from the year 1901 to 2015 by using simple multi linear regression concepts. Then we train the model using train _test_ split and analyze various performance measures like Mean squared error, Root mean squared error, R^2 and we visualize the data using scatter plots, box plots, expected and predicted values. 07 30 2020 951 954 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4786.079220 https://www.ijrte.org/portfolio-item/B4786079220/ Department of Electrical and Electronics Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, India. K.Ranjeeth Kumar R. Sudha Department of Electrical and Electronics Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, India. K. Srikanth Department of Electrical and Electronics Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, India. As the Super Capacitors have Higher Specific power density, longer life time and safer operation when compared with any other energy source in Electric Vehicles, thus have more attention in the present market. Thus presently Super Capacitors are used to act as intermittent source. This study would deal with the performance analysis of Electric Vehicles by adopting Super Capacitor as the only Energy source without any Backup. The SC can charge and discharge at a very faster rate, the time taken for the charge is also equal to the time taken for discharge. Thus the SC will discharge at a very faster rate, in this regard to improve its discharging rate we would like to do certain Design Modifications. The Main objective of this study is to replace the energy source in the EV’s with Super Capacitor Bank which would reduce the weight, Maintenance, and increase the performance of EV’s in a long run. 07 30 2020 691 694 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4787.079220 https://www.ijrte.org/portfolio-item/B4787079220/ Professor in Electronics and Communication Engineering Department, JSS Academy of Technical Education, Bengaluru, Karnataka, India. P.M. Shivakumaraswamy S.T. Veerabhadrappa Associate Professor in Electronics and Communication Engineering Department at JSS Academy of Technical Education, Bengaluru, Karnataka, India. Priyanka D Student, Bachelor of Engineering, Department Of Electronics and Communication, JSS Academy Of Technical Education, Bengaluru, Karnataka, India. Srinidhi S K Student, Bachelor of Engineering, Department Of Electronics and Communication, JSS Academy Of Technical Education, Bengaluru, Karnataka, India. Sonia K Student, Bachelor of Engineering, Department Of Electronics and Communication, JSS Academy Of Technical Education, Bengaluru, Karnataka, India. Anika Anjani Gowda Student, Bachelor of Engineering, Department Of Electronics and Communication, JSS Academy Of Technical Education, Bengaluru, Karnataka, India. Haemoglobin is one of the main constituents in characterizing the physiological condition of a human body. Currently, invasive techniques which are being used, are not suitable for real-time continuous monitoring and also include delay. On the other hand, the non-invasive method of haemoglobin measurement ensures painless and continuous real-time monitoring. This paper discusses the method and technique involved in designing a prototype for the non-invasive measurement of haemoglobin. 07 30 2020 729 733 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4797.079220 https://www.ijrte.org/portfolio-item/B4797079220/ Assistant Professor, H&S Department of Sree Venkateswara College of Engineering, Nellore, India. Mr. O. Avinash Dr. Romala Vijaya Srinivas Assistant Professor K.L Deemed to Be University, Guntur, and Andhra Pradesh India. Performance appraisal practices are significant policies among other human resource practices implemented in the organization. Hence, it is important for the organizations to focus on the effective appraisal system. Further, it is important in knowing the insights to make changes in the appraisal system. The present study is seeking to understand the influence of appraisal system on the employee variables such as career advancement, job satisfaction and organizational commitment. The study collects the primary data for analysis through a structured questionnaire distributed among the employees working in multi-national corporations operating in Andhra Pradesh. The study results reveal there is a significant relationship towards appraisal system and career advancement. However, the appraisal system and job satisfaction and organizational commitment are certainly found as insignificant for career advancement in MNCs. Many Indian companies have been borrowing modern appraisal methods from the domestic and foreign organization in order to improve the best performance appraisal climate among selected multinational corporations operating in Sri City at Nellore, Andhra Pradesh. 07 30 2020 914 919 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C6050.079220 https://www.ijrte.org/portfolio-item/C6050098319/ Research Scholar, Department of Mechanical Engineering, A.K.S. University, Satna, M.P., India. Ajay Kumar Tripathi Pankaj Kumar Shrivastava HoD, Mechanical Engineering Department, A.K.S. University, Satna, M.P., India. Construction industries in present world do face several challenges from project feasibility status to handing over of the project. With the unbounded scope and inevitable need for automation and machine tools, the success of any project heavily relies on the effective and uninterrupted performance of mechanical resources used in the projects. Companies spend huge amounts to own, operate and maintain these resources. The optimum utilization and failure-free performance of these resources are expected from the stake holder’s perspective. An experiment is carried out using the principles of Design of Experiments to decide as which are the most influential factors affecting the utilization of the mechanical resource with the help of Mini Tab software and the results are discussed. 07 30 2020 695 698 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7969.079220 https://www.ijrte.org/portfolio-item/D7969118419/ Assistant Professor, Sri Ramakrishna College of Arts and Science, Coimbatore, India. Dr. D. Ramesh Kumar D. Gayathiry Assistant Professor, Sri Ramakrishna College of Arts and Science, Coimbatore, India. India is developing country in recent years many industries are growing and significant increase in the employment, due to this disposable income is increased, more urbanisation, lifestyle are changing. Participation of women in all areas is increasing. They are not preferred traditional way of preparing food, mostly preferred for prepared food. Increasing internet and development of digital world online food services providing easy way of access a prepared food, through this customer has enjoying more benefit such as doorstep delivery, various payment options, attractive discounts, cash back offers this would lead to increasing online food services day by day. The online food ordering market in India is likely to grow at over 16 percent annually to touch US$ 17.02 billion by 2023, according to a study by business consultancy firm Market Research Future. This paper has exhibit the customer perception on the online food services and their satisfaction. 07 30 2020 553 556 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8100.079220 https://www.ijrte.org/portfolio-item/D8100118419/ Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta, Indonesia. Aji Rilamsyah Fauzi Abdillah Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta, Indonesia. Muhamad Rifaldy Ramadhan Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta, Indonesia. Sambudi Hamali* Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta, Indonesia. The purpose of this study is to know the influence of supplier integration, internal integration, and customer integration on supply chain performance through sharing information at PT. Sinar Sosro KPW Banten. The study method used is quantitative method by collecting data through questionnaire. Data analysis using SEM-PLS with WarpPLS 5.0 software. The results show that supplier integration and internal integration have no effect on supply chain performance. Supplier integration, internal integration, and costumer integration affect the sharing information. And customer integration and sharing information have an effect on supply chain performance. The current conclusion of this result, managers need to improve customer integration and information sharing. (AR, FA, MRR) 07 30 2020 819 822 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8835.079220 https://www.ijrte.org/portfolio-item/D8835118419/ Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta, Indonesia Biancha Yusputri Aniendita Cindy Ladiesta Erientania Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta, Indonesia Shavira Prita Nuraissa Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta, Indonesia Teguh Sriwidadi* Management Department, BINUS Online Learning, Bina Nusantara University, Jakarta, Indonesia The purpose of this study is to determine the level of sigma, find out what factors cause defects, and find out the right way to reduce defective products. The research methodology used is quantitative. The analysis used is the Six Sigma method. The results achieved from this research are the level of sigma produced in the motorcycle exhaust of 4.3 and in the car exhaust 4.46, the factors that cause defects are mold, material, human, method, engine, and the right way to reduce the defective product is to check the machine carefully before and after use. The conclusion obtained is to minimize defective products on motorcycle and car exhaust products at PT Berlindo Mitra Utama by using the Six Sigma method. 07 30 2020 823 828 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8836.079220 https://www.ijrte.org/portfolio-item/D8836118419/ Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta, Indonesia Dian Siti Sundari Shanissa Diandi Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta, Indonesia Danang Prihandoko* Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta, Indonesia The purpose of this study is to determine the most appropriate forecasting to predict the demand for raw materials of laundry in 2017, determine the results of the Material Requirement Planning calculation using lot permits, and to determine the total cost-efficiency of the conventional calculation method with the Material Requirement Planning method. The research method used is quantitative research, descriptive research type, and time horizon is cross-sectional for all data collection. This study uses Exponential smoothing (QM for Windows) forecasting, as an illustration, to determine the number of raw material requirements by using the analysis method, Material Requirement Planning with lot sizing measurements used are Lot for Lot, Economic Order Quantity, and Period Order Quantity. Of the three methods, the analysis results illustrate that the Lot for Lot method produces the lowest total cost of IDR. 56,160,000, compared to the total costs incurred using the company's conventional method of IDR. 175,985,288,2, So, the Material Requirement Planning method can reduce the company's inventory costs 07 30 2020 830 835 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8837.079220 https://www.ijrte.org/portfolio-item/D8837118419/ Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta, Indonesia Marco Adi Pati Mochamad Rizky Drestiyandi Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta, Indonesia Raffi Razak Dhamhory Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta, Indonesia Danang Prihandoko* Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta, Indonesia The purpose of this research to provide a method of Distribution Requirement Planning on the form of CV. Usaha Milla Gesit’s rice to efficient the cost of the material distribution. This type of research is descriptive research with a time horizon that use cross-sectional for data collection .The technique of data collection during this research is directly interviewing company’s oprational manager. The data that acquired processed with Distribution Requirement Planning and then compared with the results of company’s conventional system. From the results of the comparison Distribution Requirement Planning can be efficient the cost of rice distribution as many as 26.76 %. With this proves Distribution Requirement Planning can efficient distribution total cost, Forecasting aims to know the period from March 2018 - February 2019 and manage it with Distribution Requirement Planning to know distribution total cost from March 2018 - February 2019 07 30 2020 836 840 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8838.079220 https://www.ijrte.org/portfolio-item/D8838118419/ Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta, Indonesia Hendry Christian Elsa Irani Putri Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta, Indonesia Riska Fitra Dewi Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta, Indonesia Sevenpri Candra* Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta, Indonesia Fashion is a stylish dress equipped with accessories used every day by someone, be it in their daily life or at a particular event to support the appearance. This research was conducted with the knowledge to know the effects of product innovation and marketing tools to the competitive advantage of fashion products in the West Jakarta area. This study uses quantitative data, where the data use is primary data in the form of questionnaires and secondary data obtained from websites and institutions. The technique of collecting data using a survey with a Likert scale. The population is students who come from private universities in the area of West Jakarta. Samples of the study were 628 people and tested the instrument as many as 60 people. Data analysis methods used in this research include descriptive inferential, validity test, reliability test, normality test, correlation test and simple regression analysis, and multiple regression analysis using software processed by IBM SPSS Statistics 22. The results showed that product innovation and marketing tools have an effect on the competitive advantage of fashion products in the West Jakarta region with both have medium criteria. This means product innovation and marketing must be maintained and upgraded to achieve a High Competitive Advantage on Fashion products. 07 30 2020 841 843 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8839.079220 https://www.ijrte.org/portfolio-item/D8839118419/ Assistant Professor, FMS-WISDOM, Banasthali Vidyapith, Rajasthan, India Nitin Bansal Nishtha Pareek Assistant Professor, FMS-WISDOM, Banasthali Vidyapith, Rajasthan, India Abhinav Nigam Assistant Professor, FMS-WISDOM, Banasthali Vidyapith, Rajasthan, India Password management is a highly decisive component while adopting digital banking services. Password composition strategies facilitate the users to construct a safe, secure and strong password which is difficult to crack and misuse your confidential information. There should be an institutional structure to enhance the awareness level of password management of users to minimize the probability of cyber attack. This study has focused on the analysis of impact of awareness of password management of digital banking services on customer adoption in India. To analyze the applicability and reliability of scale, factor analysis has been administered before the use of stepwise method (forward selection) of multiple regression. Primary data on 5 point Likert scale has collected from the Delhi region with the help of questionnaires through a self administered approach. Stratified random sampling technique was used and total 432 useful schedules were considered for analysis of data using SPSS version 23. The results of the study show that there is a positive impact of awareness of password management of digital banking services on customer’s adoption in India. 07 30 2020 557 563 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8856.079220 https://www.ijrte.org/portfolio-item/D8856118419/ Faculty of Applied Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia. Nurain Mohamad Ansor* Zety Sharizat Hamidi Institute of Science, Universiti Teknologi MARA, Shah Alam, Malaysia. Nur Nafhatun Md Shariff Academy of Contemporary Islamic Studies, Universiti Teknolgi MARA, Shah Alam, Malaysia. This study focuses on analyzation of solar radio burst (SRB) data obtained by e-CALLISTO system in order to predict the occurrence of geomagnetic storm. E-CALLISTO is a global network of solar spectrometer that continually generates the observed radio signals in a form of spectrographs. Previous studies have strongly proved that the source of geomagnetic disturbance turned out to be type IV SRB which can be detected by CALLISTO instrument. Therefore, we selected 4 stations located at different locations to study the effectiveness and consistency of this system in detecting type IV bursts associated to solar storm during solar maximum. The data chosen was on 10th September 2014 where type IV bursts were formed at 1727 UT until 1745 UT within a frequency range of 135MHz to 390MHz. Accompanying the bursts was a halo CME prior to the bursts’ formation and an X1.6 flare was registered. From the results obtained by all stations, the pattern of the bursts depicts the same characteristic as theory says, by which, they emit a broadband continuum in a zebra pattern with varying fine structures. The formation of the bursts is due to magnetic reconnection and disruption of magnetic loops during large flares on Sept. 10th. As a consequence to type IV bursts associated to a vigorous CME, a major G2 storm was reported by NOAA a couple of days later. The presented results have shown a parallel correlation between type IV bursts detected by those 4 stations and the commencement of geomagnetic disturbance which took place 2 days afterwards. 07 30 2020 699 702 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9448.079220 https://www.ijrte.org/portfolio-item/D9448118419/ Department of Mechanical Engineering, MLR Institute of Technology, Hyderabad, India. Muhammed Anaz Khan* A Vivek Anand Department of Aeronautical Engineering, MLR Institute of Technology, Hyderabad, India. Lokasani Bhanuprakash Department of Mechanical Engineering, MLR Institute of Technology, Hyderabad, India. A Ravindra Department of Mechanical Engineering, MLR Institute of Technology, Hyderabad, India. V Hariprasad Department of Aeronautical Engineering, Bannari Amman Institute of Technology, Sathyamangalam, India. Composite materials have significant role in automobile and aerospace applications because of their attractive mechanical properties compared. This fascinating properties attracted several industries especially automotive sectors. In contrast to metallic alloys, composite materials composed of individual constituent elements with distinguishable interfaces and chemical identities, however, when combined e-glass and basalt fiber, they will produce superior properties. The fundamental advantage of composite materials is their high specific strength and specific stiffness, which emphasis on its weight saving potential in the finished part. Two principal constituent elements of composites are matrix and reinforcement materials. In the present work, an attempt has been made to understand the advancements achieved in the combination of e-glass fiber and basalt fiber composites. Based on the comprehensive literature review, it is observed that broad work was done on the manufacturing techniques and characterization of the composites, however, limited works were carried out in analyzing the tensile, flexural and shear strength properties of differently oriented fibers in the laminated composites. In this paper, focus was given in fabricating and characterizing the glass fiber reinforced epoxy composite laminates with different fiber orientations, thereby, examining the mechanical properties of prepared laminates for tensile and bending strengths. 07 30 2020 1019 1022 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E4903.079220 https://www.ijrte.org/portfolio-item/E4903018520/ Department of Computer Science, Diyala University, Iraq. Rasha Rokan Ismail* Taha Mohammed Hasan Department of Computer Science, Diyala University, Iraq. The cloud was defined by lots of experts, yet the NIST (National Institute of Standards and Technology) has presented the definition: “a model for enabling comfortable, on-demand network access to a shared pool of configurable computing resources The aim of this paper is a model for safe data sharing on cloud computing with intension to provide data confidentiality and access control over shared data, it also removes the burden of key management and files by users. The system also supports dynamic changes of membership and enables clients to reach the data they require even when the owner does not exist in the system. In the proposed system, a new security system is introduced, it provides a mechanism through which communication is safely achieved as well as it protects users and their hidden information from unauthorized users. The Entities in Proposed System consist of three parts: CSP, Users (owner ,clients ) and TPA , in this paper the focus will be on the CSP and the users. The proposed system are provides data confidentiality, access control of share data, removes the burden of key management and file encryption/decryption byusers, support dynamically of users membership. The use of a digital signature ensures the integrity and confidentiality of sharing data sent by users so that it cannot be read by the recipient TPA as it encrypts, sends a new encrypted signature and sends it to the CSP so that it cannot read its content CSP proved to be effective in the security of cloud computing. 07 30 2020 1230 1236 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E4975.079220 https://www.ijrte.org/portfolio-item/E4975018520/ Professor, Department of Electronics & Communication Engineering, CMR College of Engineering & Technology, JNT University, Hyderabad, India. Dr. G. Venkata Hari Prasad* Dr. Lakshmi Narayana Thalluri Assistant Professor, Department of Electronics & Communication Engineering, Andhra Loyola Institute of Engineering Technology (ALIET), Vijayawada, A.P, India Phonocardiography (PCG) is the realistic portrayal of sounds created in the heart auscultation. PCG is an improvement for ECG. Particularly in observing of patient and biomedical research, these signals need to do the diagnosis. This paper deals with the processing of heart sound signals i.e., Phonocardiography (PCG) Signals. The primary goal of analyzing these heart sound signals is to separate the signals from the noisy background and to extract some parameters which are used for patient monitoring and for other researches. Various momentum explore ventures are going on biomedical signal processing and its applications. The performance of the PCG signal will comprise of sectioning the signal into S1 and S2 and then compare, whether the PCG is normal or abnormal. In the previous framework the different change approaches are utilized to break down the PCG signal.In the primary stage, for include extraction; acquired heart sound signals were isolated to its sub-groups utilizing discrete wavelet change with Level-1 to Level-10. This upgraded strategy proposes a best component for Heart Signal Features, which are removed and changed in to other area to arrange signals. This enhanced method proposes a best feature for Heart Signal Features, which are extracted and transformed in to other domain to classify signals. In the proposed strategy the Wavelet is utilized for highlight extraction and different Statistical strategies are utilized. InformationGain (IG), Mutual Information (MI) and so on. Feature selection techniques are compared using classifiers like kNN(k-Nearest Neighbor), Naïve Bayes, C4.5 and Support Vector Machines (SVMs). MATLAB & WEKA Soft wares are used for analysis Purpose. In this paper, coiffelet technique is utilized to analyze the synthetic PCG and the classifier parameters are compared with one another. 07 30 2020 809 813 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6936.018520 https://www.ijrte.org/portfolio-item/E6936018520/ Research Scholar, Department of Management Studies, SRM Institute of Science & Technology, Modinagar, Ghaziabad. Mahesh Hooda Dr. Ajay Jain Assistant Professor, Department of Management Studies, SRM Institute of Science & Technology, Modinagar, Ghaziabad The current paper discusses the importance of service quality in higher education among the Indian universities. In this modern world, education is a way to shift the country’s economy to knowledge economy and emerges as an important sector for the increasing the county’s economy and wealth. Therefore, assessment of service quality among the universities is gaining the preference from the researchers around the world. In this connection present study collected the data of355 post graduate student and analysed with the help of Structure Equation Modeling. The present paper found that all dimensions of SERVQUAL model (reliability, tangible, assurance, responsiveness and empathy) are important for the service quality assessment and it is affecting highly. Among all the dimensions reliability is having a great impact on service quality among the private universities of north India. Education managers can enhance of quality of service in their universities with the help of the current study. 07 30 2020 564 568 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7254.038620 https://www.ijrte.org/portfolio-item/F7254038620/ VIT Business School VIT Vellore, India. Ashwini. P Susan Chirayath VIT Business School VIT Vellore, India sharing knowledge is transmission of knowledge (implicit or tacit) from an organization, group, or person to another one. Through sharing knowledge, organizations are able to improve their effectiveness, saves cost of training and moderate risks due to lack of certainty. While managing knowledge, organizations find it difficult to motivate employees for sharing knowledge with others. Therefore, it is essential to recognize the elements impacting information sharing and trust. This paper attempts to understand trust and persuasive variables that impact information sharing conduct in associations. It is huge that there are a not many investigations because of inspirational factors on information sharing conduct through trust as an arbitrator. Right now, specialist proposed a hypothetical system that consolidated inspirational elements with Theory of Reasoned Action (TRA) to depict the relationship among inspiration (extraneous and inherent), trust and demeanors toward information sharing. This paper will be important to the experts as it gives a premise of understanding persuasive elements for information sharing and trust. 07 30 2020 920 927 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7374.079220 https://www.ijrte.org/portfolio-item/F7374038620/ SCE, Lovely Professional University, Phagwara, Punjab, India R.L. Sharma P. K. Sharma SCE, Lovely Professional University, Phagwara, Punjab, India For all sector of the economy including the construction sector, energy consumption forecasting is critical for future planning. The building sector accounts for a staggering 30% of the world’s energy use and one-third of associated greenhouse gas (GHG) emissions worldwide. Modeling of building energy performance and consumption forecasting is significant for energy policy formulation, fixing targets and control energy usage to provide a long term energy security. Many energy models are accessible now, but the area is still under development and needs perfection on several counts. To select the most suitable and appropriate model for a specific purpose, it is often hard to evaluate the various models and their characteristics. This article provides a broad analysis of modeling methods, classification, and applications in constructed settings with an improved focus. A critical assessment of various models is also provided based on their composition, input-output relationships, strengths, and weaknesses to define study gaps and provide directions for future studies. 07 30 2020 569 575 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8350.079220 https://www.ijrte.org/portfolio-item/F8350038620/ Department of " Technology of silk" , Faculty Technology of light industry and design, Tashkent Institute of Textile and Light Industry, Tashkent, Uzbekistan San’at Sunnatovich Khaydarov Dr.Sci.Tech. Nigora Murtozaevna Islambekova Department of "Technology of silk", Faculty Technology of light industry and design, Tashkent Institute of Textile and Light Industry, Tashkent, Uzbekistan Senior teacher. Uchqun Nematovich Azamatov Department of "Technology of silk", Faculty Technology of light industry and design, Tashkent Institute of Textile and Light Industry, Tashkent, Uzbekistan Senior teacher. Yusupxodjayeva Gulnoz Abduxannanovna Department of "Technology of silk", Faculty Technology of light industry and design, Tashkent Institute of Textile and Light Industry, Tashkent, Uzbekistan Abrayqulov Bekzod Irgashovich Termez branch of Islam Karimov Tashkent State Technical University Uzbekistan, The article examines the yield of defective cocoons according to the feeding season of the silk moth and hybrids, determines the increase in the yield of defective cocoons in the second and third season by 2 and 6% compared to the first season. It is proved that in order to obtain raw silk of grade 4A; cocoons must be unwound separately by grades. Determining the indicators of defective cocoons after processing, the possibilities of unwinding with a speed of 110-130 m / min were revealed. Studying the time of filling cocoons in a rose while regulating leukemic density, the compaction time was determined for raw silk with a high linear density and it was recommended to use the obtained raw silk for the production of silk carpets. 07 30 2020 261 263 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8727.079220 https://www.ijrte.org/portfolio-item/F8727038620/ Assistant Professor, Department of Mechanical Engineering, The National Institute of Engineering, Mysuru, Karnataka, India. Ravikumar Beeranur K. R. Prakash Professor Department of Mechanical Engineering, The National Institute of Engineering, Mysuru, Karnataka, India. Ravikiran B. P. Engineer Strategy Automation Mysuru, Karnataka, India. Automation is one of the growing fields ,and is being used at levels from small scale industries to very a large scale industries due to the advantage of increase in productivity and quality, along with it recently new revolution in the automation 4.0enabling the data monitoring possible which helps in better control and monitoring of machineries and equipments. The objective of the work is to design electrical circuit and perform suitable control actions such as loading and unloading of heavier components to machines, indexing, providing suitable safety for the devices and improvising productivity and quality rate in the production line. These activities are being done by a control system adopted to gantry system, in such control systems there will be provision for manual control, auto mode, jog mode & edit mode to enable the work to be carried out smoothly and effectively. Such complete system is designed to reach the customer required production cycle time with 6 axis (y,z1,z2,x1,x2,c), these axis are controlled by CNC controller and all other Stations like IPC, OPC, tilting stations are controlled by the PMC controller, which is the part of CNC. 07 30 2020 576 580 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8810.079220 https://www.ijrte.org/portfolio-item/F8810038620/ Associate Professor, Department of Manufacturing Section, Universiti Kuala Lumpur-Malaysia M.Z.A. Yazid Munzir Razak Master of Engineering Technology (Manufacturing), Universiti Kuala Lumpur-Malaysia Italy Design Institute, Kuala Lumpur, Malaysia. This paper discusses the effect of tool path strategies and pocket geometry to surface roughness due to pocket milling process. The machining processes have been performed on mould steel DF2 using carbide insert end mill as the cutting tool. The cutting parameters for this experiment were kept constant while the variables were cutting tool, path strategies and pocket geometries at three levels each. The effectiveness of different tool path strategy and different pocket geometry is evaluated in terms of measured surface roughness (Ra) of the workpiece. The grade of a pocket is directly proportional with its surface roughness. The lowest surface roughness measurement was produced by pocket geometry B with parallel spiral cutting tool path strategy. 07 30 2020 884 888 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9585.079220 https://www.ijrte.org/portfolio-item/F9585038620/ M.Tech. Scholar Yagyavalkya Institute of Technology, Jaipur, Rajasthan, India Vimal Sen Krishna Gupta Assistant Professor Yagyavalkya Institute of Technology, Jaipur, Rajasthan, India Prediction analysis of diabetes mellitus is the main focus of this work. There are mainly three tasks involved in prediction analysis. These tasks are input dataset, feature extraction and classification. The earlier framework makes use of SVM and naïve bayes approaches for predicting this disease. This study implements voting classifier for prediction purpose. It is an ensemble approach. This classifier combines three classification models. These models are SVM, naïve bayes and decision tree. The implementation of available and new technique is carried out in python tool. These approaches give outcomes in terms of different performance parameters. In contrast to other classification models, proposed classification model performs better. 07 30 2020 264 268 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9718.079220 https://www.ijrte.org/portfolio-item/F9718038620/ Associate Professor, IIMT College of Engineering Greater, Noida UP, India. Dr. Deepak kourav Dr. Taslima Associate Professor, IIMT College of Engineering Greater, Noida UP, India. Mr. Prashant Mavi Associate Professor, IIMT College of Engineering Greater, Noida UP, India. Presently advanced India notoriety, associations are proposing various structures concentrating on computerized encoding procedures. Because of the simplicity of replicating, altering, and altering of computerized archives and pictures has prompted encoding the data required for transmission and capacity. It clear that the connection between's the picture pixels to its neighborhood district is high, decreasing relationship between's the pixels esteem makes it hard to figure for the first picture and along these lines enhance the security. This paper presents a novel picture encoding strategy which at first improves the picture based on exchanging dim codes and pixel blast. The pixel blast utilizes very much characterized key that switches between the dim code of the picture pixels. Exploratory outcomes would demonstrate that the proposed pixel blast is sufficient for fractional encoding and upgrades security of the information. Further, it could likewise bolster as a deadly implement for any current calculation. 07 30 2020 1208 1212 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9847.079220 https://www.ijrte.org/portfolio-item/F9847038620/ Student, Department of Computer Science, LBSITW, Trivandrum, Kerala, India. Shahnas S Sreeletha S H Assistant Professor, Department of Computer Science, LBSITW, Trivandrum, Kerala, India Deep learning has attracted several researchers in the field of computer vision due to its ability to perform face and object recognition tasks with high accuracy than the traditional shallow learning systems. The convolutional layers present in the deep learning systems help to successfully capture the distinctive features of the face. For biometric authentication, face recognition (FR) has been preferred due to its passive nature. Processing face images are accompanied by a series of complexities, like variation of pose, light, face expression, and make up. Although all aspects are important, the one that impacts the most face-related computer vision applications is pose. In face recognition, it has been long desired to have a method capable of bringing faces to the same pose, usually a frontal view, in order to ease recognition. Synthesizing different views of a face is still a great challenge, mostly because in non-frontal face images there are loss of information when one side of the face occludes the other. Most solutions for FR fail to perform well in cases involving extreme pose variations as in such scenarios, the convolutional layers of the deep models are unable to find discriminative parts of the face for extracting information. Most of the architectures proposed earlier deal with the scenarios where the face images used for training as well as testing the deep learning models are frontal and nearfrontal. On the contrary, here a limited number of face images at different poses is used to train the model, where a number of separate generator models learn to map a single face image at any arbitrary pose to specific poses and the discriminator performs the task of face recognition along with discriminating a synthetic face from a realworld sample. To this end, this paper proposes a representation learning by rotating the face. Here an encoder-decoder structure of the generator enables to learn a representation that is both generative and discriminative, which can be used for face image synthesis and pose-invariant face recognition. This representation is explicitly disentangled from other face variations such as pose, through the pose code provided to the decoder and pose estimation in the discriminator. 07 30 2020 351 356 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9998.079220 https://www.ijrte.org/portfolio-item/F9998038620/ Department of Electronic and Communication Engineering, Integral University, Lucknow, India Zoya Fatma Tarana Afrin Chandel Department of Electronic and Communication Engineering, Integral University, Lucknow, India. Mohd Yusuf Yasin Department of Electronic and Communication Engineering, Integral University, Lucknow, India. Sun is the source of energy. Renewable energy is a clean eco-system free of harmful gasses such as carbon dioxide, and all the other harmful gases which are produced from the fossil. Many technologies have been used to design and manufacture the photovoltaic module. In this paper we have reviewed the design of solar photovoltaic system of using MatLab/Simulink. Characteristics of I-V and P-V are parameter of great importance in solar photovoltaic system. The effects of temperature and irradiation at the output of solar system that is current, voltage and output power have also been reviewed and studied. 07 30 2020 703 706 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8753.079220 https://www.ijrte.org/portfolio-item/F8753038620/