-4d90550d17f4602e089-5418 20220408081537369 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/ 03 30 2020 8 6 student, Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu Vineela K* Mounisha K student, Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, Dr S Prayla Shyry Professor, School of Computing, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu The quick expansion of internet transactions has provided rise to a considerable quantity. Nevertheless,the Internet world is opened, your shopping devices have pesky insects, and also crooks can make use of a negative methods such as for instance Trojan and also pseudo base station. This leads to major raising of credit card fraud functions. If a criminal steal or perhaps cheats the info on the credit card of a cardholder, the criminal can utilize the credit card to ingest. Based on the Nilson Report in October 2016, over thirty-one trillion dollars have been produced globally by internet transaction methods within 2015, boosting 7.3 % than 2014. Globally losses at credit card fraud rose to twenty-one billion dollars throughout 2015, and can perhaps attain thirty-one billion dollars by 2020. Our proposed system is capable to stay away from the fraud transactions using previous data achieving the anticipated security level. 03 30 2020 3693 3697 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9135.038620 https://www.ijrte.org/portfolio-item/F9135038620/ Department of Management, Amrita Vishwa Vidyapeetham, Kochi, India. Gratel Anna Paul* Harsha K Department of Management, Amrita Vishwa Vidyapeetham, Kochi, India. Rejikumar G Department of Management, Amrita Vishwa Vidyapeetham, Kochi, India. This study attempted to understand the most important attributes and their preferred levels of an e-shopping cart for maximum utility perceptions by e-commerce customers. The research has significance in the backdrop of observations that online customers have multiple sorts of hesitation on purchase completions, and their cart abandonment tendencies are causing serious challenges to e-commerce firms across the world. Assuming that better e-cart design can minimize cart abandonment intentions, an eight attribute conjoint experiment with a total of nineteen levels was conducted to decide on an optimum cart design. The experiment concluded that online customers prefer an order summary page with product images, add to cart option without login, live chat feature in cart; add to cart button on both sidebar and top of the page; online payment options, security logo and social proof in e-cart, purchase history review option in the cart page, and delivery progress tracking bar in the cart page itself. 03 30 2020 3698 3703 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9137.038620 https://www.ijrte.org/portfolio-item/F9137038620/ E&TC department, Bharati Vidyapeeth (deemed to be) University College of Engineering, Pune, India. Prof. A Y. Prabhakar* Nidhi Agrawal E&TC department, Bharati Vidyapeeth (deemed to be) University College of Engineering, Pune, India. Himanshu Singh E&TC department, Bharati Vidyapeeth (deemed to be) University College of Engineering, Pune, India. Shiksha Kapoor E&TC department, Bharati Vidyapeeth (deemed to be) University College of Engineering, Pune, India. As we know automobile industry is currently booming in india due to which number of vehicle also increasing day by day. In financial year 2019 approx 4.4 million cars were sold in indiadue to rise in number of vehicles rate of accident is also increasing. In year 2018 almost 1.5 lakhs lives were lost due to car accident. In our country many people still hesitate in helping a road accident victim because of legal formalities due to which many people loose there lifes. This projectwill help in detecting the accident and calling the medical assistance as soon as possiblewiththe helpof different sensorsandArduino uno.The aim of this project is to provide for the necessary aid to the victim and inform and report the accident in the least possible time by using IOT and sensors 03 30 2020 5709 5711 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9140.038620 https://www.ijrte.org/portfolio-item/F9140038620/ Aeronautical Engineering, Excel Engineering College, komarapalayam, India. Anmol Krishna Mohan Chaudhary* Deepan C Aeronautical Engineering, Excel Engineering College, komarapalayam, India. Latshathipathi A Aeronautical Engineering, Excel Engineering College, komarapalayam, India. Arun S R Assistant Professor, Aeronautical Engineering, Excel Engineering College, Komarapalayam, India. Rakesh Kumar Shah Aeronautical Engineering, Excel Engineering College, Komarapalayam, India. the sole purpose of this project is to compare the aerodynamic performance of the modernistic wing with morphing techniques to the conventional one (i.e. wing with ailerons and flaps). The morphing wing is capable of enhancing the mission profiles through its significant geometrical changes in the surface areas (upper and lower area of wing). The primary aspiration is to calculate the CL and CD (coefficient of lift and drag) of real aircraft with conventional control surfaces and to compare its result with morphing wing. The morphing techniques also enables various prevention of aerodynamic losses (drag, vortices, noise, etc) caused due to geometrical discontinuities of conventional wing with aileron and flap in operating conditions (take-off, cruise, loiter, landing).Catia modelling of proposed wing is analysed by CFD method and to compare and contrast the aerodynamic performance with the conventional (hinged) wing. 03 30 2020 4295 4300 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9141.038620 https://www.ijrte.org/portfolio-item/F9141038620/ Research Scholar, Department of Computer Science, Women’s University, Santacruz (West), Mumbai, Maharashtra, India. Sulbha Kishor Powar Dr. Ganesh M. Magar Associate Professor, Department of Computer Science, Women’s University, Santacruz (West), Mumbai, Maharashtra, India. Advancements of various Geographic Information Technologies have resulted in huge growth in Geo-Textual data. Many Indexing and searching algorithms are developed to handle this Geo-Textual data which contains spatial, textual and temporal information. In past, Indexing and searching algorithms are developed for the applications in which the object trajectory or velocity vector is known in advance and hence we can predict the future position of the objects. There are real time applications like emergency management systems, traffic monitoring, where the objects movements are unpredictable and hence future position of the objects cannot be predicted. Techniques are required to answer the geo-textual kNN query where the velocity vectors or trajectories of moving and moving queries are not known. In case of moving objects, capturing current position of the object and maintaining spatial index optimally is very much essential. The hybrid indexing techniques used earlier are based on R-tree spatial index. The nodes of the R-tree index structure are split or merged to maintain the locations of continuously moving objects, increasing the maintenance cost as compared to the grid index. In this paper a solution is proposed for creating and maintaining hybrid index for moving objects and queries based on grid and inverted list hybrid indexing techniques. The method is also proposed for finding Geo-Textual nearest neighbours for static and moving queries using hybrid index and conceptual partitioning of the grid. The overall gain reported by the experimental work using hybrid index over the non- hybrid index is 30 to 40 percent depending on the grid size chosen for mapping the data space and on the parameters of queries. 03 30 2020 4419 4428 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9142.038620 https://www.ijrte.org/portfolio-item/F9142038620/ Research Scholar, Dept. of Management Studies, SRMIST (Vadapalani Campus), Chennai, Tamilnadu. Niranjani Ruba P* Dr. Praseeda C Professor, Dept. of Management Studies, SRMIST (Vadapalani Campus), Chennai, Tamilnadu. This article is a conceptual framework which examines the effect of cultural difference on team effectiveness by assimilating literature, on the possible performance benefits of cultural diversity and possible problems of cultural diversity. The objective of the article is to provide practitioners and scholars, similar with a framework that will allow them to design cultural diversity initiatives based on a requirements assessment and to proceed with the empirical research. This research study is based on the review of literature on aspects such as cultural diversity and team performance. Analysis, conclusion and recommendations are based on the secondary data and their findings. 03 30 2020 4566 4569 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9144.038620 https://www.ijrte.org/portfolio-item/F9144038620/ SSL Lab, ENSIAS, University of Mohammed V, Rabat, Morocco. Halim Berradi* Ahmed Habbani SSL Lab, ENSIAS, University of Mohammed V, Rabat, Morocco. Mohammed Souidi SSL Lab, ENSIAS, University of Mohammed V, Rabat, Morocco. Hicham Amraoui SSL Lab, ENSIAS, University of Mohammed V, Rabat, Morocco. Nada Mouchfiq SSL Lab, ENSIAS, University of Mohammed V, Rabat, Morocco. One of the crucial and utilized simulator for mobile ad hoc network is the NS3 (Network Simulator). NS3 executes simulation scenarios and produces data regarding which flow monitor (flowMon) files are counted one of the important used format for estimating the research proposal. This article will introduce a novel framework to facilitate the simulation process in mobile ad hoc networks (MANETs). Generally speaking, when network researchers need to evaluate the experiments, there is generally the necessity to estimate the different models advantages by computing a set of QoS metrics to understand the network performance impact in such scenario. Network simulators, and NS3 specifically, need important program writing from the researcher to consolidate simulation results. This article states a contribution for NS3 composed of a new Framework that tends to make it less complicated to obtain and plot various QoS network performance metrics. This framework generates and runs simulations using common simulation parameters, such as velocity, mobility models, and number of nodes automatically. It also contains permits to parse through the generated flow that contain several essential metrics a researcher may need in order to analyze the simulation, such as end-to-end delay, lost packet, and throughput. 03 30 2020 4301 4310 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9146.038620 https://www.ijrte.org/portfolio-item/F9146038620/ Assistant professor of Information technology in SRM IST,Chennai,Tamil Nadu,India M. Vinodhini* Dhruv Srivastava Department of Information Technology,SRM IST,Chennai,Tamil Nadu,India. Sameer Hirani Department of Information Technology,SRM IST,Chennai,Tamil Nadu,India Shubham Arora Department of Information Technology,SRM IST,Chennai,Tamil Nadu,India. Big data analytics is a field in which we analyse and process information from large or convoluted data sets to be managed by methods of data-processing. Big data analytics is used in analysing the data and helps in predicting the best outcome from the data sets. Big data analytics can be very useful in predicting crime and also gives the best possible solution to solve that crime. In this system we will be using the past crime data set to find out the pattern and through that pattern we will be predicting the range of the incident. The range of the incident will be determined by the decision model and according to the range the prediction will be made. The data sets will be non-linear and in the form of time series so in this system we will be using the prophet model algorithm which is used to analyse the non-linear time series data. The prophet model categories in three main category and i.e. trends, seasonality, and holidays. This system will help crime cell to predict the possible incident according to the pattern which will be developed by the algorithm and it also helps to deploy right number of resources to the highly marked area where there is a high chance of incidents to occur. The system will enhance the crime prediction system and will help the crime department to use their resources more efficiently. 03 30 2020 3704 3708 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9153.038620 https://www.ijrte.org/portfolio-item/F9153038620/ AP/Department of IT, SRMIST, Ramapram, Chennai. Dr.R. Kavitha* Thrinath Sirna UG Student, Department of IT, SRMIST, Ramapram, Chennai. Panini Vashisth UG Student, Department of IT, SRMIST, Ramapram, Chennai. Rithik Shaw UG Student, Department of IT, SRMIST, Ramapram, Chennai. Data mining is the application of examining large current databases in sequence to create new information. It is a classification of artificial intelligence build on the concept that systems can get from data, analyze patterns and make judgment with minimal human intervention. The forecast of air quality is done with analyzing the AQI (Air Quality Index) of the atmosphere in different areas. These predictions are done using the BP Neural network Algorithm in which the data of the gases like CO2, CO, SO2, O3, NO2, PM2.5 etc. is first classified in the system, and then the normality is checked by comparison of each gases with the normality. But the prediction cannot be fully excepted because it doesn’t consider the outside weather condition of the atmosphere. This paper uses the ANN (Artificial Neural Network) technique along with BP Neural Network which analysis the weather condition of the atmosphere along with the data of the polluted gases. This paper predict more efficient air quality index of the atmosphere. 03 30 2020 4705 4708 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9156.038620 https://www.ijrte.org/portfolio-item/F9156038620/ Research Scholar, Department of Mathematics, J. C. Bose University of Science and Technology, YMCA-121006, Faridabad (Haryana-India). Shalini Jindal* Dr. Reena Garg Assistant Professor, Faculty of Sciences (Department of Mathematics), J. C. Bose University of Science and Technology, YMCA-121006, Faridabad (Haryana)-India. Dr. Tarun Kumar Garg Associate Professor, Satyawati college, University of Delhi, Delhi-India. The aim of the present paper is to analysis the reliability of the system by using CAS Mathematica and also, it’s comparative study with CAS Maxima. The butter oil manufacturing plant consists of seven units i.e. separator, pasteurizer, continuous butter making, melting vats, butter oil clarifier, packaging and standby state. Model is developed by using Markov birth-death process. The first order differential equations are derived by using model and then solved for comparative study of reliability to give accuracy in result. By using Mathematica, we calculate probability of each state, which is beneficial to plant owners because better accuracy in result enhance reliability of the plant Graphs are plotted and tables are developed with the help of CAS Mathematica and Maxima, graphs show the variation and tables shows the fluctuations in reliability in comparative manner. 03 30 2020 4966 4972 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9161.038620 https://www.ijrte.org/portfolio-item/F9161038620/ Part time PhD Scholar, Department of Commerce, Madras Christian College (Autonomous), Affiliated to the University of Madras Mrs. R.Esther Hepziba* Dr.Mrs.Florence John Research Supervisor, Assistant Professor, Madras Christian College (Autonomous), Affiliated to the University of Madras Retaining Customer attention and keeping them Engaged with brands and Products at the least has become a mammoth task in recent days. Customer Engagement has been explained as the bond between business or marketers with the Customers. The relationship between the customers and the Marketers, can happen through several platforms, out of which Social Media is a powerful one. Almost everyone uses Social media now and there is certainly, a continuous increase in the numbers. This platform is used by marketers to increase Customer Engagement through various marketing strategies. The marketing strategies in Social media include promotions and advertisements through various means such as videos, texts, Photos and web-links. These strategies elicit reaction, response or keep customers mentally engaged, which earlier studies on this have substantial arguments supporting this. The engagement can be Passive or active. The present study considers three factors of Customer Engagement and has established the structural relationship between the measured variables and the unmeasured using Structural Equation model. The measured being Personalised, Interactive and Ethical promotional strategies that lead to Customer Engagement. The top ten Social media such as Facebook, Whatsapp, Twitter, Youtube, Instagram, Pinterest, LinkdIn, Tumblr, Snapchat and Tiktok have been taken for the study .The result of the study gives insight to the Marketers on which is the most influential variable on Customer Engagement. The result reveals that Personalised Promotions play a prominent role in keeping Cutomers Engaged. Hence focus on this parameter by the marketers which has an effect on Customer loyalty will help in customer retention 03 30 2020 4118 4121 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9163.038620 https://www.ijrte.org/portfolio-item/F9163038620/ Research Scholar in Commerce in Dr.N.G.P. Bharathiar University, Shanmugapriya S* Dr.S. Saravanan Research Scholar in Commerce in Dr.N.G.P. Bharathiar University, Post office saving bank has been emerging with new pattern of schemes to attract every investors. It provides an opportunity and habit for the poor and rural surrounding people to invest in saving. The study starts with the primary objectives of investor’s level of satisfaction towards post office Financial Services. The study focused on the rural investor’s behavior with various investment avenues available in the post bank. The study identify that investors were overall satisfied with the post office financial saving schemes like post office saving deposit, Post office Recurring Deposit and Post office Monthly Income Scheme. 03 30 2020 4122 4125 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9169.038620 https://www.ijrte.org/portfolio-item/F9169038620/ Department of Mathematics, School of Fundamental and Applied Sciences, Assam Don Bosco University, Assam, India, Fokrul Alom Mazarbhuiya* Mohamed Y. AlZahrani* Department of Information Technology, AlBaha University, KSA Ahmad H. Alahmadi Department of Computer Science and Information,Taibah University, Medina, KSA Cancer is a disease very common to both rural and urban peoples. It is the abnormal growth of some body cells which then destroy the normal functioning of surrounding cells. Cancer has different stages and can be cured easily if diagnosed earlier. Breast Cancer is widespread among the women of different age groups which results untimely death of so many ladies. As the cause of every cancer occurs before its actual appearance in the human body, sequential pattern from cancer datasets can be useful for determining the cause of Breast Cancer before its actual occurrence in the women body. In this article, we put forward a technique for digging out such patterns from Breast Cancer data. The effectiveness of the proposed technique is demonstrated by the experimental studies made with a real Breast Cancer dataset. 03 30 2020 5515 5519 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9171.038620 https://www.ijrte.org/portfolio-item/F9171038620/ Computer Application, Integral University, Lucknow U.P. ,India Muhammad Kalamuddin Ahamad* Ajay Kumar Bharti Computer Science, Maharishi University of Information Technology Analysis of data plays a crucial job considering the different phenomenon. It explores the prior knowledge, consisting of development across the extensively different communities. Cluster technique is the collecting of data object placed into groups. Therefore objects are the same nature or similar place within a cluster different nature (i.e. dissimilar) put in other cluster. Differences and likeness are refereed on the attribute values say that the objects involved in measuring distance. We have reviewed a few clustering techniques for data sets in data mining of various field of computer science and engineering, statistical, machine learning and a novel attracting field of demanding efforts. Several closely related concepts of neural network, fuzzy and genetic algorithm are also discussed. In this research paper to also discussed the facebook data set to mining the attributes from the cluster set to changing the mean square error 0-10 -6 and also discuss measuring the performance. 03 30 2020 4485 4491 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9185.038620 https://www.ijrte.org/portfolio-item/F9185038620/ Department of Computer Science and Engineering,Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India KR. Senthil Murugan* R.Raghul krishnaa Department of Computer Science and Engineering,Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India D.Sri Vaishnavi Department of Computer Science and Engineering,Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India R. Nivetha Department of Computer Science and Engineering,Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India Shreya Suresh Department of Computer Science and Engineering,Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India In present days’ women harassment is increasing and women’s life is at high risk. To overcome this problem, this paper approaches the IOT concept such as measuring the body temperature by temperature sensor, heart beat rates using pulse sensors to monitor their conditions and it alerts the mobile numbers which has been stored as emergency contact before. Since, there are already some web and mobile applications for women safety and for emergencies purposes, it does not adhere at all situations. Women cannot always be vigilant and carry huge devices with them. Instead, she could be monitored by wearing smart watches and other wearable devices, etc. It could be accessed and monitored by wireless technologies like GPS, GSM, GPRS for better results. 03 30 2020 4199 4200 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9186.038620 https://www.ijrte.org/portfolio-item/F9186038620/ Research Scholar, School of IT and Science, Dr.G.R.D College of Science, Coimbatore K. Pavithra* G. Radhamani Professor & Director, School of IT and Science, Dr.G.R.D College of Science, Coimbatore Exploiting the efficiency and stability of Dynamic Crowd, the paper proposes a hybrid crowd simulation algorithm that runs using multi agents and it mainly focuses on identifying the crowd to simulate. An efficient measurement for both static and dynamic crowd simulation is applied in tracking and transportation applications. The proposed Hybrid Agent Reinforcement Learning (HARL) algorithm combines the Q-Learning off-policy value function and SARSA algorithm on-policy value function, which is used for dynamic crowd evacuation scenario. The HARL algorithm performs multiple value functions and combines the policy value function derived from the multi agent to improve the performance. In addition, the efficiency of the HARL algorithm is able to demonstrate in varied crowd sizes. Two kinds of applications are used in Reinforcement Learning such as tracking applications and transportation monitoring applications for pretending the crowd sizes. 03 30 2020 5251 5255 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9187.038620 https://www.ijrte.org/portfolio-item/F9187038620/ B.E., Department of ECE, National Engineering College,India K.S.Muthu Priya* A.Michael Nivitha B.E., Department of ECE, National Engineering College,India J.Jasmine Sugaji department, B.E., Department of ECE, National Engineering College,India N. Arumugam Associate professror Department of ECE, National Engineering College,India As the population keeps growing, water source must be distributed efficiently. The objective is to design an IoT based system which supports to monitor and control the water distribution to each home without any human intervention at the first level of initiation. In addition, the system will also help us to identify the leakage in the pipeduct so as to carry out immediate rescue against to the water leakage along the pipeduct. Later on, this idea will be upgraded by incorporating with necessary features for the common usage. The system consists of sensor nodes to note the quantity of water in every house by flow sensors at each instant and sends the data to the cloud using Wireless communication. The information collected could be known by users on the integrated website using their wi-fi connected gadgets slike mobilephones.The device also controls the automatic functioning of water supply by turning it off when the water rises above the high level than allocated to the appropriate huse which was initially fixed by government boards. 03 30 2020 4917 4921 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9190.038620 https://www.ijrte.org/portfolio-item/F9190038620/ B.Tech., M.E., Assistant Professor in Rajalakshmi Engineering College. Aksheya Suresh* K. Monisha Student, Rajalakshmi Engineering College, Computer Science and Engineering, Chennai, India R. Pavithra Student, Rajalakshmi Engineering College, Computer Science and Engineering, Chennai, India Marish Hariswamy. B Student, Rajalakshmi Engineering College,Computer Science and Engineering, Chennai, India The field of Agriculture plays a major role in the Indian economy. This sector helps to meet the basic needs of human and their civilization. Hence agriculture would be the enterprise in the globe. Considering the parameters of the agriculture, selection of crops plays a very vital role in farming. The proposed model for Crop selection and it’s yield prediction mainly focusses on the season and location to display the desired crop for cultivation . This requirement is implemented with Machine Learning algorithms like Decision tree for classification and Linear regression for yield prediction to maximize the crop yield. This model helps the farmers to know about the correct crop to be cultivated in a particular location . And also gives a approximate percentage of yield based on the data available in the dataset. Thus selecting crop for cultivation becomes a easier task for farmers because selection of correct crop for their location is precisely implemented using this project. 03 30 2020 4126 4128 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9191.038620 https://www.ijrte.org/portfolio-item/F9191038620/ 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* Mirzaev Shavkat Director of the Innovation Center at the Tashkent Institute of Architecture and Construction, Tashkent, Uzbekistan. The building norms and standards of Uzbekistan on the reinforced concrete structures do not regulate the design of hollow-core slabs of formwork-free shaping, reinforced with prestressed wire reinforcement. The manufacturing technology of such slabs allows creating a wide range of products that increase the possibility of their use in various structural systems in residential, civil and industrial buildings, but in non-seismic areas only. The aim of this work is to develop a constructive solution for the cross section of a prestressed hollow-core floor slab of bench formwork-free shaping, reinforced with high-strength wire reinforcement, in order to create a wide range of products intended for construction in seismic areas. To achieve the goal, the problem of determining the optimal combination of height and configuration parameters of the cross section of such a slab is solved, meeting the normalized operational requirements and limitations of earthquake-resistant building standards. The main variable parameters are the height and the void degree of the section, characterized by the size and shape of voids. In calculating the cross-section of a hollow-core slab when substantiating the theoretical basis for the calculation, the cross section is reduced to the equivalent I-section. As a result of research, a constructive solution was developed for the slab cross section of the maximum parameter values (the span, operational load) set by the customer. The parameters of the slab cross-section are: the height 190 mm, the hollowness 38%, the height of the upper thickened flange (compared with the height of the lower flange) of the given section is 0.27h, the height of the lower flange is 0.17h, the reduced (total) thickness of all ribs “b” is 0.32 of the width of the upper flange. The voids in the section along the height of the slab are arranged asymmetrically. A patent for a utility model has been received for the proposed constructive solution of the slab cross section. 03 30 2020 4973 4977 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9192.038620 https://www.ijrte.org/portfolio-item/F9192038620/ ECE department, SRM Institute of Science and Technology, Chennai, India. Mr B. Thiruvaimalar Nathan* V. Jai Kishor ECE department, SRM Institute of Science and Technology, Chennai, India. D. Srikanth Reddy ECE department, SRM Institute of Science and Technology, Chennai, India. K. Satya Sai Kumar ECE department, SRM Institute of Science and Technology, Chennai, India. To forestall licenses and in this manner causing mishaps, another mechanized framework is proposed. This framework can be executed utilizing Bayesian rationale grouping calculation and highlight extraction calculation. The proposed framework needs to structure the remote sensor engineer and in addition the multi sensor mix based distinctive confirmation technique for seeing outcome. The guide administrations additionally expected to look at the test information from Vehicle information recorder (VDR) with reference information. Mapping and multi-combination sensor blend transmission is finished utilizing remote server. The Bayesian characterization calculation is actualized with information digging for result. CC2500 remote module is utilizing as a passage. As a commitment to the general public this creative answer can defeat debasement and abatement the quantity of street wounds in light of most wounds as a result of absence of arranging, expectation and control which can be decently relying upon an individual's driving gifts. In this way, from our proposed conspire we will place in power a programmed riding check for permit trouble. 03 30 2020 4201 4203 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9196.038620 https://www.ijrte.org/portfolio-item/F9196038620/ Associate Professor, Department of CSE, St.Joseph's College of Engineering, Dr.F.Sangeetha Francelin Vinnarasi* Dr.J.T.Anita Rose Associate Professor, Department of CSE, St.Joseph's College of Engineering Dr. Jesline Associate Professor, Department of CSE, St.Joseph's College of Engineering Diabetes mellitus is one of the major non-transmittable sicknesses which have unimaginable impact on human life today. Enormous Data Analytics improves social protection structure through the reduction run time and the perfect cost. Automated investigation impacts the exact appraisal of diabetics in a successful way. A diabetic influences individuals in different pieces of the body. A PC technique on the shade diabetics ought to be inspected to analyze the various impacts definitely. This is the pre-screening framework for early determination by diabetologist. The proposed work provides the report on the order of injuries from diabetic's dataset with fundamental advances, for example, pre-preparing and characterization. Here Multilayer Perceptron investigation is utilized to separate the highlights. The re-enactment quantifies the precise finding and affirms the exactness esteems up to 95% for Classification. 03 30 2020 4978 4983 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9210.038620 https://www.ijrte.org/portfolio-item/F9210038620/ CSE Department, GITAM University, Bengaluru, India. Navaneeth Kumar B* Vamsi Kandula CSE department, GITAM University, Bengaluru, India. Praneeth Ambiti CSE department, GITAM University, Bengaluru, India. Hema K CSE Department, GITAM University, Bengaluru, India. Dr. Kishore Buddha Mechanical Department, GITAM University, Bengaluru, India. According to the survey done by aspiring minds on Annual Employability in 2019, only 2.5% of students have the technical skills that are required for industry, and 80% of engineers do not possess the skills that are necessary for the industry. Engineering employability rates can be improved when we have student analysis data to understand their performance in every aspect. So, to decrease the unemployability rate, we are proposing a Student Analysis System that gives students a performance report for analyzing student strengths and weaknesses in various company’s recruitment exams. The system is entirely automated by using various techniques to minimize the work of the Training and Placement Department. The information about the student, which is available in the portal, can be shared with the various recruiters based on the eligibility criteria, skills, and requirements of the company. The front-end of the platform is developed by using HTML, CSS, JavaScript, backend of the platform by using PHP. And along with the Xamp web server. 03 30 2020 3996 3999 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9211.038620 https://www.ijrte.org/portfolio-item/F9211038620/ Associate Professor at KLE Dr.M.S.Sheshgiri College and Engg, Belagavi,India Dr.Sujata N Patil* Prof. Shweta M Madiwalar Assistant Professor at KLE Dr.M.S.Sheshgiri College and Engg ,Belagavi, India Dr. V M Aparanji Assistant Professor at Siddaganga Institute of Technology, Tumkur, India. Every single year thousands of women endure painful and invasive surgery to remove breast lesions. Most of the time the mammographic image analysis leads to false positive detection and the majority of this actions reveal the lesions to be benign. Refining present detection and diagnostic tool is a major priority of our work. MATLAB R2015a is been used to develop the algorithm, which aids in detection of breast cancer in its early stage. The algorithm comprises of image processing and applying artificial intelligence where in the system is trained with a set of images so that when the input or the test image is given, the algorithm performs the image processing techniques and then applies the Probabilistic Neural Network (PNN) technique for detection of cancer. The system performance is also been calculated in order to estimate its reliability. 03 30 2020 4315 4320 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9219.038620 https://www.ijrte.org/portfolio-item/F9219038620/ Graduate Student, Division of Structural and geo-technical Engineering, School of Civil engineering, Vellore Institute of Technology Chennai, Tamil Nadu, India. Mr. Avinash S* Dr. Ramesh Kannan M* Assistant Professor Senior, Division of Structural and geo-technical Engineering, School of Civil engineering, Vellore Institute of Technology Chennai, Tamil Nadu, India. This research seeks to develop a comprehensive framework for the design of Half-Tunnel Concrete Formwork System (HTCFS). HTCFS are highly efficient systems that are used for the construction of modular RCC structural systems. Additionally, HTCFS are significant in terms of higher reuse in constructing modular units. Despite these advantages, the actual design procedure adapted for HTCFS was not well elucidated so far, many companies adapt their own design methodology and hence it is highly important to develop a simplified straight forward design methodology incorporating all comprehensive associated factors. Initially, the detail introspective assessment of various types of HTCFS are perceived. Then using this information, a 3D Solid model is developed, and eventually, the 3D model gets converted into 3D solid CAE model using sophisticated Finite Element package for the Finite Element Analysis (FEA). This procedure is repeated for different combinations of components that construed effective systematized HTCFS. From the FEA the optimal structural components required for the structural integrity of HTCFS are established. 03 30 2020 4354 4357 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9225.038620 https://www.ijrte.org/portfolio-item/F9225038620/ Faculty of technology of cotton industry, Tashkent, Institute of Textile and Light Industry, Uzbekistan Prof. Ibragimov Farkhod Khayrullaevich* Prof. Ortikov Oybek Akbaralievich Faculty of technology of cotton industry, Tashkent, Institute of Textile and Light Industry, Uzbekistan Prof. Madjidova Shoira Gafurovna Faculty Technology of light industry and design, Tashkent, Institute of Textile and Light Industry, Uzbekistan Prof. Ochilov Tulkin Ashurovich Faculty Technology of light industry and design, Tashkent Institute of Textile and Light Industry, Tashkent, Uzbekistan Senior teacher Mirzaakhmedova Khuriyat Basitovna Faculty of technology of printing, Tashkent Institute of Textile and Light Industry, Tashkent, Uzbekistan Dynamic characteristics of a saw gin are considered as the subsystems with concentrated and distributed parameters. The graphs plotted as a result of studying the machine units made it possible to determine the maximum values of the angle of relative rotation and the rotation angle of the saw cylinder shaft under torsion. 03 30 2020 5520 5525 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9228.038620 https://www.ijrte.org/portfolio-item/F9228038620/ Department of Management, Faculty of Economics, Bhayangkara JakartaRaya University, Bekasi, Indonesia. Rorim Panday* Basuki Rachmat Department of Management, Faculty of Economics, STIE Perbanas Surabaya, Indonesia. This study was aimed at identifying hazards through risk assessment and risk control by using HIRARC method in the warehouse of Company XYZ (a pharmaceutical company). Data was collected through direct observations, documentations, and interviews. The study found that Company XYZ identified 104 hazards in the year 2017, which were caused by poor working environment, worker attitudes, manual work, tools and machinery. This study revealed 57% of the total risks fall in medium category, 38% high, 5% low, and none of them are categorized under extreme risk. To control the risk, the company has been taking proactive actions through the elimination of risks, engineering, administration and Personal Protective Equipment (PPE). 03 30 2020 4429 4433 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9229.038620 https://www.ijrte.org/portfolio-item/F9229038620/ Faculty, School of Business Studies, Sharda University, Greater Noida, India. Dr. Ankur Agrawal* Mr. Ashish Saxena Faculty, School of Business Studies, Sharda University, Greater Noida, India. Dr. K R Gola Faculty, School of Business Studies, Sharda University, Greater Noida, India. Prof. (Dr.) Sunil Joshi Faculty, School of Business Studies, Sharda University, Greater Noida, India. The Judicial blend of debt and equity at which cost of capital is least and estimation of the firm is most maximum is named as optimal capital structure of a firm. The capital structure decision can impact the estimation of the firm through the profit accessible to the investors which amplify the investors' wealth, notwithstanding this capital structure can influence the estimation of the organization by improving its expected income. Hence, the debt ratio changes when there is an irregularity between inside assets and genuine speculation openings and there is data asymmetry in the market. The significance of a proper capital structure is, along these lines, self-evident. Primary variables affecting Capital Structure have been examined right now distinguish the degree of their capital structure impact. The fundamental reason for existing is to look at the effect of "ten financial factors" in particular: profitability, size, risk in the business, asset structure, debt service, development, office cost, bankruptcy ratio, charge shield in tax and uniqueness on the capital structure of chosen organizations, which is spoken to by LEV D/E. Ten unique divisions from Indian corporate have been picked, to break down the significant determinants of capital structure. The information has been drawn from the official sites of the organizations for a time of 2008 to 2018; the information has been gathered for 400 recorded organizations from ten chose segments with the end goal of investigation. Multiple regressions have been applied to discover the noteworthy determinates. Profitability, Growth and Development of the firm, size have pivotal and positive relationship with leverage. 03 30 2020 4204 4209 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9234.038620 https://www.ijrte.org/portfolio-item/F9234038620/ Computer Science Department, College of Arts and Science, Prince Sattam Bin Abdul-Aziz University,Wadi Al Dawassir, Riyadh, K.S.A Mr.Mujthaba Gulam Muqeeth* Dr.Manjur Kolhar Computer Science Department, College of Arts and Science, Prince Sattam Bin Abdul-Aziz University, Wadi Al Dawassir, Riyadh, K.S.A. Dr.Aballa Al Ameen Computer Science Department, College of Arts and Science, Prince Sattam Bin Abdul-Aziz University, Wadi Al Dawassir, Riyadh, K.S.A. Cloud Computing proves to be most predominant innovative field in the area of Information technology. Cloud is best suited for small scale to large scale businesses and personal purposes such as storing, computing, managing data & resources, running applications and many more. Due to increasing large volumes of data over cloud servers created subsequent specific issues like data maintainability, network elasticity, managing Internet of Things (I.o.T’s) devices and many more. Recent progresses in Technology are given rise to fog computing or decentralized cloud to overcome cloud server issues called fog nodes. In this paper we present a brief note on how cloud issues can overcome using fog nodes benefits along with elaboration of load balancing factor. To maintain load balancing of fog nodes no much appreciable work took place in the field of fog computing. This paper proposes a scheduler which receives the devices in to a Job Queue to be connected over cloud. To apply scheduling algorithms like F.C.F.S, S.J.F, P.S, R.R and W.R.R. over fog nodes will be discussed along with their merits & demerits. At last we try to compare the various parameters of load balancing among various scheduling algorithms. In this paper we focus on how fog nodes perform functions like considerable storages, low latency, heterogeneity, allocation & interaction with limited IoT devices and Security along with architecture cloud to fog. During allocation of IoT devices to various fog nodes we will come across a serious issues i.e load balancing on fog nodes. Our detailed study presents the comparison of above mentioned scheduling algorithms load balancing factors such as rich resources allocations & Balancing among fog nodes, Identification of devices, Authentication of fog nodes, bandwidth consumption, location awareness, response time, cost maintenances, Intrusion detection, fault forbearances and maintainability. 03 30 2020 4129 4134 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9238.038620 https://www.ijrte.org/portfolio-item/F9238038620/ Department of Biomedical Engineering, U. V. Patel College of Engineering, Ganpat University, India. Himal Chitara* Prof. Raksha K Patel Department of Biomedical Engineering, U. V. Patel College of Engineering, Ganpat University, India. Prof. Tejas V Bhatt Department of Biomedical Engineering, U. V. Patel College of Engineering, Ganpat University, India. Aim: To design diagnostic expert system using fuzzy image processing for diabetic retinopathy, measures diabetic eye morbidity. Method: From this research paper, diagnosing diabetic retinopathy using fuzzy image processing for diabetic patients. Firstly collection of OCT images of the patient who has diabetic retinopathy. Author’s proposed method finds out the edge detection of the OCT image. Then fuzzy logic is applied on that result of image processing. Design a fuzzy rules and input- output parameter. This method gives accurate diagnosing the diabetic retinopathy from the image of the patient’s retina images. Result: This diagnostic system gives patient’s eye morbidity, vision threatening of the diabetic patients. In the result, edges of the retina images, and from that retinal ruptures, thickness of the proliferative in the retina. From these result, diagnostic of diabetic retinopathy conditions such as PDR, NPDR, and NORMAL, and CSME in the diabetic patients. Conclusion: author has design diagnostic system for endocrinologist and ophthalmology to diagnosed diabetic retinopathy in the patients. From this system doctors don’t need patients for diagnosing purposed. 03 30 2020 4210 4215 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9240.038620 https://www.ijrte.org/portfolio-item/F9240038620/ Assistant Professors, Department of Information Technology, PVPSIT, Vijayawada, AP, India. Dr.S.Sai Kumar* Dr.B.V.Subba Rao Professor & Head, Department of Infromation Technology, PVPSIT, Vijayawada, AP, India. J. Sirisha Assistant Professors, Department of Information Technology, PVPSIT, Vijayawada, AP, India. B. Anusha B.Tech Students, Department of Information Technology,PVPSIT,Vijayawada,AP,India. Sai Akhil B.Tech Students, Department of Information Technology,PVPSIT,Vijayawada,AP,India. K.Venkata Suhesh B.Tech Students, Department of Information Technology,PVPSIT,Vijayawada,AP,India. K. Bhavana B.Tech Students, Department of Information Technology,PVPSIT,Vijayawada,AP,India. As global population is increasing, life expectancy rises, and standards of living increases, and the causes of death across the world are changing. Now-a-days most of the deaths are occurring due to the lack of awareness among people about which disease may have the chance to occur for a particular symptom. So by taking the previous datasets of patients and analyzing it, we can predict which disease may have the scope to occur for a particular symptom. It creates an awareness among people about the disease and appropriate medication can be received. By this the death rate can be minimized. So, in this system, we are going to analyse the patient datasets by using machine-learning(linear regression) algorithms and python code to predict the diseases which have the chance to occur and so that we can reduce the death rate 03 30 2020 3906 3911 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9241.038620 https://www.ijrte.org/portfolio-item/F9241038620/ Assistant Professor, Department of Mechanical and Automobile Engineering, School of Engineering and Technology, CHRIST (Deemed to be University, Bangalore-560074, India. Thejaraju R* Anil Melwyn Rego Assistant Professor, Department of Mechanical and Automobile Engineering, School of Engineering and Technology, CHRIST (Deemed to be University, Bangalore-560074, India. Sonal P Joseph Research Scholar, Department of Mechanical and Automobile Engineering, School of Engineering and Technology, CHRIST (Deemed to be University, Bangalore-560074, India. Smit Vishal Patel Assistant Professor, Department of Mechanical and Automobile Engineering, School of Engineering and Technology, CHRIST (Deemed to be University, Bangalore-560074, India. Tarun BC Assistant Professor, Department of Mechanical and Automobile Engineering, School of Engineering and Technology, CHRIST (Deemed to be University, Bangalore-560074, India. CFD turned into an alluring and engineering practice utilized in the design and assessment procedure in automotive and food industries. Nowadays, open source solvers are great in demand as the small-scale industries doesn’t want to invest too much into it. On the CFD OpenFOAM software front it has the capacity to handle a mutli-physics problem with respect to commercial and industrial needs. OpenFoam solver is one great example which is a C++ encoded numerical tool to solve various fluid flows and heat transfer processed under lot of differential equations where the analyzer has to scratch his head to get the output. The present study involves round the designing and analyzing an OpenFoam CFD model of a Reefer truck chamber where the temperature and velocity variations were studied. The truck chamber is investigated by varying different inlet angles and changing the positions of outlet duct. And thereby automating the whole CFD process with the help of PyFoam which is an interface of Python scripting embedded with OpenFoam wherein helping the vendors or customers to directly input the coolant temperature and the inlet angle. The inlet angle at 20 degree and 45 degree was verified with the python code to conclude the CFD simulation on the reefer truck. 03 30 2020 4658 4662 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9242.038620 https://www.ijrte.org/portfolio-item/F9242038620/ Asst. Professor, Department of Information technology, SRM Institute of Science and technology. Ashish Chauhan* Shruti Khosla B.Tech Scholar, Department Information Technology, SRM Institute of Science and Technology. Muskan Sharma B.Tech Scholar, Department of Information Technology SRM Institute of Science and Technology Sarthak Sahni B.Tech Scholar, Department of Information Technology SRM Institute of Science and Technology. Multi level Authentication means authentication of user at different levels. Attendance system concerns with taking students attendance, with complete efficiency and awareness, this all used to happen in a very conventional way, wherein there were more chances of discrepancy in records. Authentication is a major concern as safety is a priority which proves the validity of the user, when designing a software which stores large amounts of data and which has already existed in the past, and has certain loopholes. To fill these loopholes and to make this process more reliable Multi Level Authentication is used. Multi-Factor Authentication used here have three phases, starting with Login credentials which goes unique even if students share their credentials with their peers their peers won’t be able to login using their phones as IMEI was stored initially during the time of registration. This code is stored in the database without the knowledge of the student. We have the next phase which is OTP generation which is secured using RSA sent to the registered mobile number that is very unique as the OTP is sent only to the registered mobile number. The last phase which ensures the presence of student in the class is QR code scanning, where in a student scans QR code shared by the teacher in the class . After scanning the QR code the attendance gets stored in the database. The purpose of this Attendance system is to overcome the drawbacks of the already existing conventional way which includes marking attendance manually which was a time taking process. By introducing this attendance system using multi level authentication we have established a more advanced, more efficient and more secure unlike conventional attendance system. Multi level authentication can be used in various application where security of the assets is the main concern. 03 30 2020 4216 4220 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9247.038620 https://www.ijrte.org/portfolio-item/F9247038620/ Assistant Professor, Department of Mechanical Engineering, Lakireddy balireddy college of engineering, Mylavaram, India. A.Naresh Kumar* K.Madhu Babu Assistant Professor, Department of Mechanical Engineering, Sree Vahini institute of science & technoligy, Tiruvuru, India. B.Prasanth Kumar Assistant Professor, Department of Mechanical Engineering, Sree Vahini Institute of science & Technology, Tiruvuru, Indian. S.Kiran Kumar Professor, Department of Mechanical Engineering, Sree Vahini Institute of science & Technology, Tiruvuru, Indian. P.S. Kishore Professor, Department of Mechanical Engineering, Andhra University Visakhapatnam, Indian In this present investigation an attempt was made to exp1ore the effect of fue1 injection timing (FIT), fue1 injection pressure (FIP), Load and exhaust gas recircu1ation (EGR) for various fue1 blends (Pa1m Oil, cotton Seed oi1, n-Butano1) as input parameters on SFC, BTE, CO, HC, NOx and with a minimum number of experiments. In order to reduce the experimenta1 efforts, Taguchi’s L27 orthogona1 array was emp1oyed for design of experiments. An a1gorithm invo1ving the combination of grey reationa1 ana1ysis with Taguchi technique was proposed for the optimization of engine emission and performance. The optimum combination for more brake therma1 efficiency is obtained for n-butanol-IT of 270 bTDC-IP of 200 bar- EGR of 10% load percentage of 100. At the same time optimum combination for minimum nitrogen oxide emission is obtained for CSO-IT of 190 bTDC-IP of 220 bar-EGR of 20 percentage- load percentage of 50. The optimum combination considering all the output parameters was obtained using grey relational analysis and output values for optimum combination was also calculated experimentally. Based on ANOVA, engine load be the most influencing factor (Contribution of load was 57.8 %) for the selected objective of improvement in BSFC and BTE with 1esser pena1ty on emissions (HC, CO, NOx) based on equal weight ages. 03 30 2020 4221 4230 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9249.038620 https://www.ijrte.org/portfolio-item/F9249038620/ Moscow Aviation Institute (National Research University) 125993, Russia, Moscow, Volokolamskoe highway Moskvicheva Natalia Valerievna* Melik-Aslanova Narmina Oktaevna Moscow Aviation Institute (National Research University) 125993, Russia, Moscow, Volokolamskoe highway Alexander Ten Moscow Aviation Institute (National Research University) 125993, Russia, Moscow, Volokolamskoe highway AnnotationThe analysis of the state program “Development of the aviation industry 2013-2025” is carried out. A set of program targets is being studied. A methodology for assessing the effectiveness of the implementation of state programs of the Russian Federation, which is used to prepare sections of the consolidated annual report, is considered. The analysis of the development of the aviation industry. The problems of assessing the effectiveness of the implementation of the state development program are highlighted. The article presents the results of the analysis of the relationship of gross domestic product, target indicators, and performance indicators of the state program "Development of the aviation industry 2013-2025." The expected results of the implementation of the state program are substantiated, discrepancies in the results of implementation from the expected results of the program are identified. A technology is proposed for determining the effectiveness of the state program, taking into account the technological, material, technical, innovative, personnel development of the industry. The results of the analysis can be used in the process of evaluating the effectiveness of implementation and planning of state development programs. 03 30 2020 4135 4142 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9253.038620 https://www.ijrte.org/portfolio-item/F9253038620/ Research Scholar, RYMEC, Bellary, Karnataka. India K. G Prakash* Dr H.K Ranga Vittal Professor, Department of Mechanical Engineering, BMS college of Engg, Bangalore, Karnataka, India. Dr. A. Thimmana Gouda Professor, RYMEC, Bellary, Karnataka. India. Cenosphere is a powder form material obtained by burning of coal in thermal plants. This industrial waste is ceramic rich, economically available and as filler material has the potential to improve properties of Composites. This work deals with the effect of cenosphere as filler material on mechanical properties of the Hemp/Glass Reinforced Epoxy Hybrid Composites. Industrial hemp fiber/fabric, which is produced by the bast of the hemp tree, is used along with Glass fibers in this hybrid composite with cenosphere as a filler material and epoxy as the matrix material. Hand layup technique is used to develop composite specimens with various weight fractions. Composite specimen prepared as per relevant ASTM standards were tested for their mechanical properties to establish the influence of cenosphere and glass fabrics in the laminates with Hemp fabrics. It has found that some of the properties of hybrid composite samples are significantly increased by the influence of filler material. This hybrid composite can be used as alternative material to plastics used in automobile mudguard. 03 30 2020 4570 4575 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9266.038620 https://www.ijrte.org/portfolio-item/F9266038620/ School of Housing, Building and Planning, Universiti Sains Malaysia, 11800 Penang, Malaysia. Siti Shahirah Suhaili* Md Azree Othuman Mydin* School of Housing, Building and Planning, Universiti Sains Malaysia, 11800 Penang, Malaysia. Hanizam Awang School of Housing, Building and Planning, Universiti Sains Malaysia, 11800 Penang, Malaysia. Owing its superior features, such as low in density, excellent thermal properties and great fire resistance performance, foamed concrete is gaining acceptance in the construction industry. Nevertheless, foamed concrete is weak in tension. Foamed concrete reinforced with fibers has amplified due to its boosted properties after cracking of the cementitious matrix. Hence, fibers from spikelets and stalks from oil palm biomass wastes were used to scrutinize the correlations between compressive, flexural and tensile strengths of foamed concrete in this study. The fibers content was maintained to 0.45% of volume fraction for all mixes and the mixes were modified to different densities which were 600kg/m3, 1200kg/m3 and 1800kg/m3. Then, the compressive, flexural and tensile strengths of the foamed concrete were measured at 7, 28, 60 and 180 day. The result showed a general trend that the engineering properties of foamed concrete increased as its density increased and the desirable result could be achieved with the inclusion of stalks and spikelets in the foamed concrete. Finally, the empirical equations were established and coefficient of determination (R2) was obtained at different ages through the regression analysis. The comparison between the correlations of the engineering properties, made in terms of R2 of the polynomial regression, showed that all of the relations were obtained high value which is in range 0.96-0.99. 03 30 2020 4910 4916 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9271.038620 https://www.ijrte.org/portfolio-item/F9271038620/ PG Student, Master of Structural Engineering, Dr. Mahalingam College of Engineering and Technology, Pollachi - 642 003, Tamilnadu, India. Arunkumar TR* Manjupriya S Assistant Professor, Department of Civil Engineering, Dr. Mahalingam College of Engineering and Technology, Pollachi - 642 003, Tamilnadu, India. Qualification – ME Structural Engineering. The Photocatalytic Concrete helps to reduce the air temperature in urban environment and eventually reduce quantity of smoke. Titanium Dioxide (Tio2), a nano material was used as a catalytic material to produce Photocatalytic concrete, In this study, M20 grade concrete was prepared by partially replacing. Fine aggregate with sinicon PP at varying proportion of 0%, 5%, 10%, 15% and 20%, which is light weight material and has very low specific gravity compared to normal fine aggregate and also the cement being constantly replaced by Tio2 and Rice husk ash as 1% and 10% respectively. The effect of Tio2, Sinicon PP and Rice husk ash was investigated through mechanical and durability properties and also emission test was carried out to compare the amount of gases released in both conventional concrete and photocatalytic concrete. 03 30 2020 5719 5724 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9274.038620 https://www.ijrte.org/portfolio-item/F9274038620/ UG Scholar, Mechanical department, J. C. Bose University of Science and Technology, Y.M.C.A, Faridabad, India Ankit Bhardwaj* Harshit Gera UG Scholar, Mechanical department, J. C. Bose University of Science and Technology, Y.M.C.A, Faridabad, India Dr. Shefali Trivedi Assistant Professor, Mechanical department, J. C. Bose University of Science and Technology, Y.M.C.A, Faridabad, India In this present work the temperature fields and structural fields of the solid brake disc during short and emergency braking with four different materials have been analyzed. The distribution of the temperature depends on the various factors such as friction, mechanical properties of material, design of the brake disc, surface roughness and speed. We analyzed the different values of temperature, total deformation, the equivalent strain - stress and deformation for different designs and different materials using analysis software called Ansys with materials namely Stainless-Steel SS 420, SS 316 and Aluminium Al 6061, Al 7075. With the value at the hand the values are determined for best suitable material for the brake disc with higher life span. This work determines the shape and size optimized for disc brake along with chosen material for efficient disc with a better life span. Three different discs were designed with four different materials to produce a wide range of conclusions. 03 30 2020 5161 5170 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9278.038620 https://www.ijrte.org/portfolio-item/F9278038620/ Hainan Vocational University of Science and Technology, Haikou City, 571126 Hainan Province, China. Faculty of Computing and Informatics, University Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia Feng, Liying* Ng, Giap Weng* Faculty of Computing and Informatics, Universiti Malaysia Sabah, Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia. Ma, Liyao Faculty of Art and Design, University of Hainan, Haikou City, 570228 Hainan Province, China. This paper presents a personalized clothing customization system using Augmented Reality (AR) technology. The goal of this paper is creating a more interactive and immersive experience for tailor designer by bridging physical personalized clothing customization and digital resources. This system can make the traditional clothing customization process more convenient and efficient and has strong interaction and experience. At the same time, it reduces the time cost, labor cost and material cost of sample making in the traditional clothing customization process. This paper discusses the feasibility of the system, introduces the system development, testing, and application environment, the overall system design scheme and system workflow, and details the specific functions of each module. It also introduces the system detection methods and observation indicators. The system uses technologies such as augmented reality (AR) technology, Azure Kinect somatosensory technology, and OpenGL 3D rendering, combined with the functional advantages of the somatosensory virtual fitting system, focusing on the improvement and role of AR technology in the clothing customization process, effectively improving user satisfaction with clothing customization and saves production time and costs. 03 30 2020 5725 5729 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9279.038620 https://www.ijrte.org/portfolio-item/F9279038620/ Department of Electronics and Communication Engineering, SSn College of Engineering, kalavakkam, Chennai, Tamilnadu, India. K. Muthumeenakshi* Maritime communication is important for information exchange between ships, location and tracking. Expeditious growth in marine communication has led to utilization of the allocated spectrum heavily. For example, Automatic Identification System (AIS) is a maritime system which uses VHF band for communication. Also, in recent times, wireless services are increasing, thereby require new spectral resources. Thus to efficiently utilize the spectral resources in maritime communication, Cognitive Radio (CR) can be employed. Spectrum for new service can be dynamically accessed along with the existing marine services. Thus to detect the spectrum availability, a compressed sensing (CS) based detection for maritime CR network (MCRN) is proposed in this paper and compared with the energy detection. Simulation results confirm the efficacy of the proposed algorithm. 03 30 2020 5526 5529 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9291.038620 https://www.ijrte.org/portfolio-item/F9291038620/ Bachelor of Technology, Adhiyamaan College of Engineering, Hosur, Krishnagiri (dt), Tamilnadu, India. Saran S* Sakthi Prakash Bachelor of Technology, Adhiyamaan College of Engineering, Hosur, Krishnagiri (dt), Tamilnadu, India. Sachin M Bachelor of Technology, Adhiyamaan College of Engineering, Hosur, Krishnagiri (dt), Tamilnadu, India. Naveen Kumar N Bachelor of Technology, Adhiyamaan College of Engineering, Hosur, Krishnagiri (dt), Tamilnadu, India. Sivanantham S B. Tech IT, Ph. D, Hosur, Krishnagiri (dt), Tamilnadu, India. The Rising population and technology has become tremendous day by day. Under these circumstances people in the residence should have awareness of the present technology and understanding about the process of distributed smart street system which gives more secure & protected atmosphere. This whole system is totally autonomous and no manual operation is necessary indeed. In the current generation the technology has raised very great in intensity, assuming that introducing distributed smart street system which covers smart lights, security, and managing street will bring a user-friendly ecosystem. This system is simulated graphically using Cisco Packet Tracer 7.2 03 30 2020 4663 4666 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9311.038620 https://www.ijrte.org/portfolio-item/F9311038620/ EEE department, ANITS (A), Visakhapatnam, India. R. Satish* P. Kantarao EEE department, SRKR Engineering college (A), Bheemavaram, India. K. Vaisakh department of EE, AUCE (A), Visakhapatnam, India. As the integrations of renewable energy generation (REG) within smart distribution networks (SDN) increasing, power flow algorithms (PFAs) of SDN needs special treatment to handle multiple REG. In this paper, the development of PFA is described. According to the control and characteristics of output power (OP), REG can be specified as constant-power-factor (CPF) model and constant-voltage (CV) model. In this paper, these two models are integrated into the proposed PFA. This PFA is capable of switching the REG mode of operation from one model to other with the existence of multiple REGs. The influence of REG on voltage profile and power loss on 15-bus and 69-bus distribution networks (DN) is analyzed with several case studies. And the results are quite promising and are in agreements with the literature. 03 30 2020 4984 4989 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9318.038620 https://www.ijrte.org/portfolio-item/F9318038620/ Department of Electronics and Communication Engineering,Agni college ofTechnology,OMR, Thalambur,Chennai Amirtha T* Gokulalakshmi T Department of Electronics and Communication Engineering,Agni college of Technology,OMR, Thalambur, Chennai Umamaheswari P Department of Electronics and Communication Engineering,Agni college of Technology,OMR, Thalambur, Chennai T Rajasekar Department of Electronics and Communication Engineering,Agni college of Technology,OMR, Thalambur, Chennai Indian economy is mainly based on Agriculture, involves the process of cultivating certain plants for producing food and many other desired products and raising of domesticated animals. Nutrients play a major role in agriculture and crop production. There are number of reasons for decreasing of crop yield. One such factor involved is nutrient deficiency. The proper detection of nutrient deficiency and appropriate fertilizer for that deficiency are the major problems faced by many farmers. Hence, in order to improve productivity, Automation in agriculture evolved drastically in recent years. This paper aims at designing an automatic robotic vehicle which detects the nutrient deficiency in crops just by simply capturing the image of leaves of the crop plants. The captured image is then processed by using the convolutional neural networks (CNN). This technique uses captured image, processing it by comparing it with the already available dataset. When the input image is matched or partially matched with any one of the existing images in the dataset, it will provide the result of nutrient deficiency in crops, in terms of the percentage. The name of disease associated with nutrient deficiency and appropriate amount of fertilizer will be displayed in the LCD. This will reduce the problems of the labour force and the burden of farmers. 03 30 2020 5330 5333 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9322.038620 https://www.ijrte.org/portfolio-item/F9322038620/ Electrical & Electronics Engineering, JNTUH College of Engineering, Jagtial(T.S),India. P. Sangeetha* This paper presents the customer scattering effect on distribution system reliability with Distributed Generation. In this, radial system with thirteen load points is considered and analyzed for six patterns of customer variation. The performance is observed with DG and without DG at different points along the feeder and analyzed customer scattering effect for optimum location of DG in terms of system reliability. Analysis determines the optimum DG location for improvement of system reliability varies with the customer scattering patterns. 03 30 2020 5256 5259 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9323.038620 https://www.ijrte.org/portfolio-item/F9323038620/ Department of ECE, Bannari Amman Institute of Technology Sathyamangalam Harikumar Rajaguru* Sanjai Khan N Department of ECE, Bannari Amman Institute of Technology Sathyamangalam. Vinitha Krishnamoorthy Department of ECE, Bannari Amman Institute of Technology Sathyamangalam. Electroencephalogram is a medical procedure which helps in analyzing the activities of the brain through electrical signals. In this paper a simple classification technique of EEG signal into two stages as NREM sleep and awaken stages had been undertaken. Classifying these stages helps the physician to understand the patient's sleep disorder by knowing whether the person's brain is in NREM sleep or awaken stages. Physionet EEG signals are samples of 256 signals per second for 10 seconds duration is used in this work. Then the EEG samples properties are analyzed through various parameters like statistical features, entropy Pearson correlation coefficient, Power spectral density, scatter plots and Hilbert transform plots. The classification of NREM sleep and awaken stage is performed by the ten different classifiers broadly grouped into non linear and hybrid one. The classifiers used include Linear Regression, Non Linear Regression, Logistic Regression, Principal Component Analysis, Kernel Principal Component Analysis, Expectation Maximization, Compensatory Expectation Maximization, Expectation Maximization with Logistic Regression Compensatory Expectation Maximization with Logistic Regression, and Firefly. The performances of the classifiers are analyzed using regular parameters like sensitivity, accuracy, specificity, performance index. The highest accuracy of 95.575% is achieved with linear regression for awaken signal and an accuracy of 95.315% is achieved using kernel PCA for sleep signal. 03 30 2020 2321 2326 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9332.038620 https://www.ijrte.org/portfolio-item/F9332038620/ Assistant Professor, Department of Civil Engineering MEPCO Schlenk Engineering College, Sivakasi, India. N. Anuja* A.Senthil Kumar Students, Department of Civil Engineering MEPCO Schlenk Engineering College, Sivakasi, India. M. Manikandan Students, Department of Civil Engineering MEPCO Schlenk Engineering College, Sivakasi, India. G. Yogesh Students, Department of Civil Engineering MEPCO Schlenk Engineering College, Sivakasi, India. Fire Exit Brick is a structural building material having sufficient crushing strength and it is generated from the combination of Waste Wax and Granite Powder. The aim of this research is to create a brick which is provided in the outer periphery of the windows and door to hold it. During the time of fire, these bricks will lose its strength and creates a fire escape pathway by just pushing the doors and windows towards outer side to save the people from fire accidents without affecting the structural aesthetic look at low manufacturing cost. It also helpful for the fire fighters to rescue the people from the fire. 03 30 2020 4231 4233 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9333.038620 https://www.ijrte.org/portfolio-item/F9333038620/ Electronics & Communication Department, Suresh Gyan Vihar University, Jaipur, India. Mr. Amit Jaykumar Chinchawade* Dr. Onkar Singh Lamba H.O.D. & Professor, Electronics & Communication Department, Suresh Gyan Vihar University, Jaipur, India. Nowadays, Internet Of Everything (IOE) plays an important role in varies sectors like Home Automation, Smart Cities, Education, Industry, Healthcare, smart grid, business, supply chain Management, technology and in Agriculture. The implementation IOE technology in the Agricultural system makes the Farmers to monitor their Agricultural Fields & crops and controls the things, remotely from their Mobile Phones. The various Wireless Sensor Network (WSN) can sense the Parameters and sends the measured and observed data to the farmers through IOE network. Accordingly, things can be controlled smartly. This helps in applications like soil moisture and nutrients Sensing, Reporting atmospheric condition, custom fertilizer profiles supported soil chemistry, Controlling water usage for optimal plant growth, it also include farm vehicle tracking, storage monitoring etc. This paper focuses on Importance and Responsibilities of IOE in agricultural Systems, those results in smart framing and will minimizing the losses in the Agriculture. 03 30 2020 4905 4909 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9339.038620 https://www.ijrte.org/portfolio-item/F9339038620/ Assistant professor of Information technology in SRM IST, Chennai, Tamil Nadu, India. R. Mythili* Akkudalai Priyanka Department of Information Technology, SRM IST, Chennai, Tamil Nadu, India. Ruchika Prasad Department of Information Technology, SRM IST, Chennai, Tamil Nadu, India. Archit Bhandari Department of Information Technology, SRM IST, Chennai, Tamil Nadu, India. It is necessary to keep the patient’s health history confidential as it attracts various attackers who can steal the patient’s valuable information and can lead to wrong medication which is dangerous for the patients. Healthcare using block chain provides security measures using various algorithms and one of them is consensus algorithm. Block chain is a secure gateway composed of decentralized ledger, when it comes to a specific grant of personalized access. Block chain plays a vital role when it comes to security. In Healthcare Block chain organizes the data so that transactions (i.e. Patient’s record) can be verified. Also, Block chain is decentralized ledger which is distributed in nature and has a vital role in securing the data and transactions. Block chain basically contains records in order and is arranged particularly in a block type structure. 03 30 2020 3709 3712 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9340.038620 https://www.ijrte.org/portfolio-item/F9340038620/ Final year Engineering Graduate in the Department of Computer Science and Engineering at National Engineering college, Kovilpatti, Tamil Nadu, India. Nambirajan M* Rajdev R Final year Engineering Graduate in the Department of Computer Science and Engineering at National Engineering college, Kovilpatti, Tamil Nadu, India. Santhosh R Final year Engineering Graduate in the Department of Computer Science and Engineering at National Engineering college, Kovilpatti, Tamil Nadu, India. Sharon Raja D Final year Engineering Graduate in the Department of Computer Science and Engineering at National Engineering college, Kovilpatti, Tamil Nadu, India. Sivakamasundari G Assistant Professor(SG), Computer science and engineering, National Engineering College, Kovilpatti, India The main objective of this paper is to build a model to predict the value of stock market prices from the previous year's data. This project starts with collecting the stock price data and pre-processing the data. 12 years dataset is used to train the model by the Random Forest classifier algorithm. Backtesting is the most important part of the quantitative strategy by which the accuracy of the model is obtained. Then the current data is collected from yahoo finance and the data is fed to the model. Then the model will predict the stock that is going to perform well based on its learning from the historical data. This model predicted the stocks with great accuracy and it can be used in the stock market institution for finding the good stock in that index. 03 30 2020 3912 3914 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9341.038620 https://www.ijrte.org/portfolio-item/F9341038620/ ECE department, Assistant Professor, JNTUHCEH, JNTUH University, Hyderabad, India. M. Rajesh* B.L. Raju ECE department, Professor and Principal, ACE Engineering College, JNTUH University, Hyderabad. B.N. Bhandari ECE department, Professor, JNTUHCEH, JNTUH University, Hyderabad Mobility in Wireless Sensor Networks (WSN) poses many challenges to design Medium Access Control (MAC) protocol. In this paper, Energy efficient clustering Mobility Hybrid MAC (EMH-MAC) protocol is introduces to manage throughput, delay and energy consumption in WSN. EMH-MAC protocol merges the features of synchronous and asynchronous MAC protocols. EMH-MAC works in two stages: Clustering and Data transmission stage. In the clustering stage MMCDD protocol is used for election of Cluster Head (CH). Data transmission stage works in four segments: two-hop neighbor information, intra-semi synchronous, inter-synchronous communication and data transfer. EMH-MAC is evaluated using Network Simulator-3 and performance is compared with BN-MAC. Simulation results show that EMH-MAC performs well in comparison with BN-MAC in terms of throughput, delay and energy consumption by varying number of nodes and speed of nodes. 03 30 2020 4900 4904 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9345.038620 https://www.ijrte.org/portfolio-item/F9345038620/ Assistant professor in Computer Science and engineering in SRMIST,CHENNAI. S.P Maniraj* Anirudh Sharma is currently pursuing Bachelors degree program in Computer Science and engineering in SRMIST,CHENNAI. Ishika Ratnam pursuing Bachelors degree program in Computer Science and engineering in SRMIST,CHENNAI. Aman Kumar pursuing Bachelors degree program in Computer Science and engineering in SRMIST,CHENNAI. In India, Buses are considered to be one of the cheapest mode of Public Transportation. Everyday thousands of people travel by bus to reach their offices, Amusement park, malls etc. The project has it’s use in providing an efficient transportation system in India. We are proposing such a system due to increase in traffic in recent days and to promote for public transportation among daily travellers. In this system, we are proposing QR reader for generating bus ticket. Users can scan QR code reader and make payment instead of taking tickets from conductor. Whenever a person decides to travel from one place to another, they have to select from and to location. It will then display all the buses moving in that particuar route. The user can then select the bus whichever suits him and then it will display amount details for per person and seat gets booked for the user. Then to generate the actual ticket, the users have to scan the QR code which is placed in the bus and make the required payment. After the successful payment, the conductor and traveller gets notified through SMS. Using this application, the user can also track the location of any bus with the help of GPS (Global Positioning System) and get to know the estimated arrival time(ETA) of a particular bus. The Application reduces passenger waiting time and make their travelling smooth and efficient. Also, we are using Naive bayes algorithm for classification of various attributes such as no of tickets booked every hour, no of person travelling in day, frequency of buses moving etc. Based on these attributes we can predict the probability of Buses required in a particular route, a single person travelling number of times in a day etc and help the public transport companies in increasing the usage while reducing the operational cost. 03 30 2020 4358 4361 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9350.038620 https://www.ijrte.org/portfolio-item/F9350038620/ HDG, CDAC, Thiruvananthapuram, India Lakshmaiah Alluri* Dr. M Bhaskar Professor, Department of Electronics and Communication, NIT, Trichy, India. Hemant Jeevan Magadum ITNS, CDAC, Thiruvananthapuram, India. This paper presents the performance evaluation of RISC – V architecture based processor using Gem5 simulator. The performance analysis metrics such as bandwidth, latency, throughput, branch prediction, pipeline stages and memory hierarchy of the processor architecture are studied using Gem5 simulator. Different simulation models are carried out to arrive the best reference model for RISC-V architecture design and development. In this reference model cache memory functionality feature is verified with the verification methodology called Universal Verification Methodology (UVM). From simulations it is found that both the program and data cache provides optimum performance in terms of execution time, hit rates, miss rate and miss latencies. 03 30 2020 4576 4581 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9352.038620 https://www.ijrte.org/portfolio-item/F9352038620/ Department of Mathematics, A.M Jain College, Meenambakkam, Chennnai – 600114, INDIA. B. Logeshwary* This paper deals with the new method of graph colouring technique implemented in crime science. The graphical investigation uses the elements of graph theory to identify the suspects involved in unlawful act. The research paper focuses on the idea of graph colouring technique in crime problem which provides mathematical clarity for investigation in identifying the suspects. This method helps the crime scientist to expedite the investigation process to reduce time factor in decision making. 03 30 2020 4234 4237 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9355.038620 https://www.ijrte.org/portfolio-item/F9355038620/ Professor and Head of the Department in Computer Science and Engineering, Jeppiaar Institute of technology, Sriperumpudur, Chennai, India, Dr. J. Faritha Banu Yuvarani. K Student, Bachelors of degree in Computer science and Engineering in Jeppiaar Institute of Technology, Sriperumpudur, Chennai, India, Suvetha. B Student, Bachelors of degree, Computer science and Engineering in Jeppiaar Institute Of Technology, Sriperumpudur, Chennai, India, Nyle. S Student, Bachelors of degree, Computer science and Engineering in Jeppiaar Institute Of Technology, Sriperumpudur, Chennai, India Srilekha A Student, Bachelors of degree, Computer science and Engineering in Jeppiaar Institute Of Technology, Sriperumpudur, Chennai, India With the development of science and technology, the design of modern architecture is becoming more and more attractive. The large-scale public buildings such as shopping malls, office buildings, Research centres and education centres are increasing dramatically. In case of sudden disasters and the overloaded electricity may easily cause fire and the fire smoke, fire in large buildings spread over a wide range of areas and produces physical damages, several hazard to life and property and atmospheric pollution. This paper proposes An Intelligent IOT based People Evacuation Guidance Model for Fire Hazard to guide the people by constructing the evacuation path dynamically based on the real time situation to reach the safety exit quickly in large public buildings using their Personal Digital Assistant like mobile phone, tabs etc. Whenever a fire breaks out, IOT module alerts the people to find the safety exit. Thus, the proposed system minimizes danger and economic losses by guiding the optimized evacuation path. The performance of the proposed system will be compared with the existing system and the result of improvement will be shown. 03 30 2020 4238 4242 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9356.038620 https://www.ijrte.org/portfolio-item/F9356038620/ Phd Student, Department of CSE, Amrita Vishwa Vidyapeetham,Amritapuri,India Lakshmi Nambiar* Vinod Kumar Gopal Director, Nanosolar Energy Design Center, Amrita Vishwa Vidyapeetham,Amritapuri,India Ashwin D MTech Student, Department of EEE, Amrita Vishwa Vidyapeetham,Amitapuri,India. Subramaniam Ganesan Professor, Department of EEE and CSE,Oakland University,Rochester,USA. The relevance of focusing on SPV systems with storage to meet the user specific requirement is discussed}. Existing Solar Photovoltaic (SPV) systems are studied and the need for introducing new classification based on the interaction with utility grid, solar module and battery backup, based on load types and end user application is proposed. In order to represent the entire SPV systems a generic framework is introduced known as the three-switch model. All the SPV systems under the new classification can be represented using the framework by changing the switch states. Using this framework, a method to convert existing backup systems into a grid-interactive system is proposed. The ways to enhance maximum solar utilization, utility savings and system reliability are discussed. The states of the grid-interactive systems are discussed and simulated using Typhoon HIL 600. 03 30 2020 4143 4153 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9358.038620 https://www.ijrte.org/portfolio-item/F9358038620/ Assistant Professor, Department of Architecture, School of Planning and Architecture (V), Vijayawada, Jagath Kumari Dungi K. Srinivasa Rao Professor, Department of Civil Engineering, College of Engineering, Andhra University, Visakhapatnam, Andhra Pradesh, India Fire constitutes a major hazard to the buildings. The structural members exposed to high temperatures during fire accidents. The phenomenon observed was the structural members undergo dehydration of concrete, thermal distress in the form of cracking and spalling due to excessive heating. This leads to cause degradation of concrete strength. After tackle the fire hazard, the next step is to find the suitability of the building for repair or restoration, which involves assessment of fire severity and fire damage. Nondestructive testing (NDT) is the most practical and widely used methods to obtain in place strength or even for new structure strength. It is an effective tool for damage assessment and quality assurance, as well. In this paper, reinforced concrete (RC) columns made with OPC mix and HVFA mix, exposed to high temperatures ranging from 100 to 800°C. After heating, the specimens were brought to room temperature by air cooling and water quenching methods. The specimens were tested for residual compressive strengths and material integrity of concrete columns, by non-destructive testing methods, to understand how parameters like cooling condition and exposure duration influence the mechanical properties of conventional concrete mix and fly ash concrete mix. OPC concrete mix columns performed better strengths over HVFA mix columns when they cooled by air. Whereas water quenched HVFA mix columns upkeep the concrete quality grading on comparing the OPC mix specimens. 03 30 2020 4389 4387 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9359.038620 https://www.ijrte.org/portfolio-item/F9359038620/ Cisco Systems, Senior Technical Leader, Cisco Systems, Senior Technical Leader Santosh Kumar Upadhyaya* This study presents a low frequency RFID (LF-RFID) sensing system integrated with Internet of Things (IoTs) to detect and characterize corrosion. The LF-RFID sensing sys-tem comprises of a tag and reader inductively linked with each other. Tag interacts with corroded metal through eddy currents and measure changes in corroded surface conductivity and per-meability. Sensitivity and impedance of LF-RFID sensor varies with distance between tag to reader; which is adjusted to find the optimum working range. The static and transient features of LF-RFID sensor signal is used to characterize corrosion at low com-putational rate. The size of commercial low frequency tags is very small compared to structures in practice. So, IoTs is used to make a wireless sensor network of proposed sensing system. Re-sults showed an enhancement in sensitivity to corrosion charac-terization at optimum distance between tag and reader. Using IoTs, several sensors are cascaded to make WSN and enable monitoring a wide structural area. 03 30 2020 4154 4160 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9360.038620 https://www.ijrte.org/portfolio-item/F9360038620/ Research Scholar, Sri Sri University, Cuttack, Odisha Mr. Girija Sankar Das* Prof. (Dr.) Bhagirathi Nayak Professor Sri Sri University, Cuttack, Odisha In the current scenario in finance, data play a major role for predicting stock market as well as verious financial instruments. For the estimation of financial data, the various algorithms and models have been used. The use of the advising method has been used in this paper. The advising programs are one of the main methodologies used in the present market scenario with machine learning technologies. This paper focuses on the impact of financial inclusion in Odisha using a machine learning approach such as the classification of k-Nearest Neighbors (k-NN). For financial inclusion systems, machine learning has become a commonly used method. The result takes into the ATMs, Banks and BCs ranking in different districts of Odisha. We used the k-Nearest Neighbor's machine learning methodology classification algorithm to characterize the recommendation system based on users of the mentioned populations. Using our approach we equate conventional collective filtering. Our results show that the linear algorithm is more reliable than the current algorithm and is more efficient and stable than current methods. 03 30 2020 4243 4247 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9361.038620 https://www.ijrte.org/portfolio-item/F9361038620/ Research Scholar, Department of Business Administration, Annamalai University, Chidambaram, Tamilnadu, India. P. Kalyanasundaram* Dr. C. Madhavi Professor, Department of Business Administration, Annamalai University, Chidambaran, Tamilnadu, India. Online Courses have become the new normal in the higher education landscape. With rapid developments in information and communication technology, higher education institutions are turning their focus towards course offerings in the online mode. It is imperative for institutions to understand the perspective of the learners so that they can offer better service. This paper endeavors to highlight the factors that influence the learners who take up online supplemental courses that are offered along with the conventional degree programs. Learners who took up value added courses were contacted for the purpose of understanding their perception with regard to usability, user friendliness, navigation, assessment, feedback, course content, test friendliness etc. An exploratory factor analysis was carried out. Results show that user friendliness and learner engagement were the focal points to promote online learning. Learner satisfaction with regard to CDROM that was given as supplemental learning tool was measured and learners were found to be satisfied with this. Suggestions for offering user friendly and engaging online programs are given. Students who completed the course felt very optimistic about the program compared to those who did not complete. 03 30 2020 4021 4025 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9365.038620 https://www.ijrte.org/portfolio-item/F9365038620/ Assistant professor of Information Technology in SRM IST, Chennai, Tamil Nadu, India. R. Veeramani* P.B. Pavani Reddy Department of Information Technology, SRM IST, Chennai, Tamil Nadu, India. Nikhil Raj Department of Information Technology, SRM IST, Chennai, Tamil Nadu, India. Mehul Jain Department of Information Technology, SRM IST, Chennai, Tamil Nadu, India. In order to discover information, virtual data evaluation involves trendy computer tools and display. The use of various digital research methodologies has become quite frequent throughout society. The aim of this proposed model is to provide a new vision of customer relationship administration through visual representation and interactive techniques. Special mentions of the investigation include that consumers have a better change on consumer truthfulness in the banking sector, specifically with the expenses towards a better direction, the bond between them becomes much firmer. Lastly, comments are presented on how to make the consumer satisfied and increase their trust. They are consistently hunting for new techniques to improve their business profits like, correct commodity marketing to best consumers, accurate use of own channels, visitation on a low level to bank branches for everyday money withdrawals and etc. A unified analysis of bank customer's helps to identify the person’s judgment and decides whom to distribute the services of bank and how much credits can be offered up to a limit. It also helps the bank issuer’s understand profile of their consumers. The model uses different algorithms (KNN, Logistic Regression XGB Classifier, Decision tree and MLP classifier) to train and test the data and then analyses the best algorithm to perform the task. As customer profiling in a bank is a highly requested service for such task, a unified analysis of the same consumer segmentation is specially customized for money minting industry. 03 30 2020 4026 4029 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9369.038620 https://www.ijrte.org/portfolio-item/F9369038620/ Assistant Professor, Dept of EEE, Jawaharlal Nehru Technological University Hyderabad College of Engineering, Jagtial, T.S., INDIA, Mrs. V. Baby Shalini* Mr. Rajesh Merugu P.G. Scholar, Electrical Power Systems, Dept of EEE, Jawaharlal Nehru Technological University Hyderabad College of Engineering, Jagtial, T.S., INDIA Around 40% of the electrical energy produced worldwide is consumed by the Buildings of Residential as well as Commercial types. Efficient usage and optimization of electrical energy leads to Nearly Zero Energy (NZE) Green Buildings and it helps in Economic growth and Social development in all countries. Apart from providing reduced energy consumption, Building energy optimization also minimizes the total energy costs, maximizes energy savings and consequently contribute less greenhouse gases to the environment. Though the installation cost of NZE Green building is quite high, the investment can be regained within the payback period with savings in the energy consumption. In this paper an Eco-friendly, Energy optimized, NZE Green building is designed by using efficient building simulation program known as BEOpt through HVAC technologies by considering various designing parameters at the designing stage and the distinguishments in the energy consumption, energy saving per year and CO2 emissions between conventional building and the designed prototype of NZE Green building are addressed 03 30 2020 4030 4033 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9370.038620 https://www.ijrte.org/portfolio-item/F9370038620/ PhD student, Universiti Kebangsaan Malaysia. K. Jafri* R. Ramli PhD in Gifu University Japan. A. H. Azman PhD from Univ. Grenoble Alpes, France In the process of manufacture and installation, geometrical dimensions and tolerances (GD&T) should be taken into consideration to improve reliability and reduce the adverse impact on critical parts of the rotating system. GD&T must be considered by manufacturers and assembly worker. This paper presents an analysis of geometrical tolerance (GT) values in rotational shaft using the genetic algorithm (GA) method. GA optimization uses a geometric mathematical model. Mathematical models were developed using the offset and algebraic methods to calculate the ideal geometric features that best fit a set of positioning points based on the standard equations criteria. The calculation using the Matlab software application will use the optimal GA parameter. There is a combination of four genetic parameters associated with size population, crossover, mutation and stop state will develop algorithm performance which will produce optimum GT value. The geometric tolerance value for the position characteristic was analyzed to determine and predict the probability and reliability shaft in rotational system. Comparative values of each GT value are compared to find out the reliability values obtained can be used and verify the GT value requirements require mathematical representation. Tolerance analysis at the design stage to evaluate and predict quality by considering the probability of failure rates. The Actual value of the radius must be small from the allowable radius (Ract <Rallow) to cope with the high failure rate throughout the operating period. Due to dynamic nature of the shaft round and the possibility of a variable size of shafts, the GT value should be analyzed to ensure that the value obtained is correct and can be optimum solution to this problem. The GT value to be considered is at the center of the shaft involved which will affect the relevant components. Impact of GT value on the destruction of system critical component such as bearings, gear and couplers as benchmark for review for the optimization of shaft geometric tolerances in rotating machines to overcome the problem and improve concentricity shaft. The contribution of this study is to examine the effect of shaft size and the value of geometric tolerance on system reliability. Estimating and predicting levels of reliability more accurately improves system life, knows the system's impact accurately, knows the security level of a rotating system and also knows the quality of the mechanism at the design level. 03 30 2020 3713 3722 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9371.038620 https://www.ijrte.org/portfolio-item/F9371038620/ Assistant Professor, Department of Electrical, Electronics & Communication Engineering, GITAM (Deemed to be University). Chaitanya Bethala* K. Manjunathchari Professor, Department of Electrical, Electronics & Communication Engineering, GITAM (Deemed to be University). Right now, point is to contrast single fix receiving patch and 1x2 exhibit and 1 x4 radio patch on FR4. The emphasis will be on upgrading the elements of fix reception apparatus additionally kept up a high increase in the ISM band (2.3 GHz to 2.6 GHz) at focus recurrence 2.45 GHz. Various parameters of reception apparatus like VSWR, return loss, increase gain and radiation design are reproduced utilizing Ansoft HFSS programming v13. Microstrip patch radio wire in remote correspondence is picking up significance as a most impressive mechanical pattern. Its enormous potential guarantees huge change in close to term eventual fate of remote application fields. The current innovative pattern has concentrated on microstrip patch radio wire. Single microstrip patch reception apparatus has a few favorable circumstances (ease, lightweight, conformal and low profile), however, it has little detriments too-like low addition, low productivity, low directivity, and thin data transfer capacity. These weaknesses can be overwhelmed by the execution of many fix reception apparatuses in a cluster design. Here term exhibit represents geometrical and electrical courses of action of fix components. As we increment the number of patch components to frame a cluster, improvement in execution is watched. Right now, for 1x1, 1x2, 1x4 clusters have been investigated and thought about. It has been inferred that the 1x4 patch cluster shows a preferable outcome over a single patch. 03 30 2020 5064 5068 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9371.038620 https://www.ijrte.org/portfolio-item/F9371038620/ M.Tech,computer science and security information brunch,School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar , India. Shahrabanu Haidari* Amiya Kumar Dash Assistant Professor in School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar , India Jitendra Kumar Rout Assistant Professor in School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar India. Today, the majority of industries used Hadoop for processing their data. Hadoop is an open-source and programming based framework that has many components. One of them is HDFS (Hadoop Distributed Files System) that is used to stored data. Hadoop by default does not have any security mechanism. According to the previous study authentication, authorization, and Data encryption are the principal techniques to enhance the security in HDFS. As huge volume of data is stored in HDFS, encryption of massive data will consume more time and need more resources for operations. In this paper we have developed one DNA based that used confusion and Diffusion for securing data in HDFS. This proposed algorithm is efficient as compared to other encryption algorithm. 03 30 2020 4034 4038 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9379.038620 https://www.ijrte.org/portfolio-item/F9379038620/ School of Electronics and Communication Engineering, Vellore Institute of Technology, Vellore, India. Nirbhay Gupta* Somnath Mishra School of Electronics and Communication Engineering, Vellore Institute of Technology, Vellore, India. Prateek Porwal School of Electronics and Communication Engineering, Vellore Institute of Technology, Vellore, India. Budhaditya Bhattacharyya School of Electronics and Communication Engineering, Vellore Institute of Technology, Vellore, India. In today’s world, ever growing population adds up increasing numbers of cars. Especially, in metro cities with limited spaces for parking, innovative measures are the need of the hour. Our paper focuses on this specific aspect of acute shortage of parking spaces. In this paper, we are proposing a smart vehicular parking model, that takes into account registered or non-registered users parking at the same time. Additionally, it also takes help of image processing to classify the available space based on the size of the vehicle, making it an optimized real-time parking prototype. Using RFID to authenticate each user, the model uses Internet of Things (IoT), cloud storage to makes it convenient for each and every individual to locate and remotely book a parking spot via a smartphone. It works to its full potential by securing cashless transaction via e-wallet. The efficiency of our prototype has been further established by improving parking area by 28 % under any given circumstance. Hence this novel idea excels in every aspect by providing an optimized parking space. 03 30 2020 4039 4043 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9383.038620 https://www.ijrte.org/portfolio-item/F9383038620/ Student* , Masters, Remote Sensing & GIS in SRM Institute of Science and Technology. Zubair Malik Dr. Sachikanta Nanda (Ph.D) Assistant Professor (Sr.G) Department of Civil Engineering, Kattankulathur Campus, SRM Institute of Science and Technology. (formerly known as SRM University). Dr. R. Annadurai (Ph.D) Professor Department of Civil Engineering, Kattankulathur Campus, SRM Institute of Science and Technology (formerly known as SRM University). Kashmir has been encountering expanded temperature and change in precipitation system, which may antagonistically influence the significant environments in the nation differentially. In this study a effort has been put forward to deduce a relationship between altitude & other climatic variables such as Annual average temperature, Annual average precipitation, Annual average wind speed, Annual average solar radiation, Annual average max temperature, Annual average min temperature & Annual average vapor pressure. The data used for this study was provided by worldclim (version2.0), the spatial resolution of the data was about 1 km². The large study area & fine spatial resolution produced a vast amount of data points, which were analyzed with a significance level of the tests at 5%. Further for analysis the data was divided into zones categorized according to the elevation zones, this was mainly done to ease the work flow as the observation points were vast and also to reduce the standard error for each of the variables during analysis. Based on the climate data and the DEM (Digital Elevation Model) used for this study we deduced four multiple linear regression equations for four elevation zones, which describe the relationship between altitude & climatic variables. Although deducing a climate model which can precisely define relationship between the climatic variables & altitude is a challenge although an effort has been made to describe the relationship between elevation and climatic variables. 03 30 2020 4388 4391 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9391.038620 https://www.ijrte.org/portfolio-item/F9391038620/ Research Scholar, Mechanical Engineering, ITM University, Gwalior, India. Nancy Mary Prakash* Mukesh Kumar Pandey Professor, Civil Engineering, ITM University, Gwalior, India. Nadeem Faisal* Assistant Professor, Mechanical Engineering, ITM University, Gwalior, India. Welding is one of the most important phenomena required in day to day activities like construction, machining, etc. Therefore, it becomes important to choose optimal parameters for its process since non-efficient selection of its parameter can result in failure of activities it is associated with. Studies show that stress concentration zones, are those where maximum stress is generated. In case of welding, these zones are weld root and weld toes. In order, to get accurate results fine meshing becomes necessary. In the current study, a 3-D structure i.e., two perpendicular plates are connected to a reclining plate by welding, precisely fillet weld. Finite element analysis has been conducted on the above-mentioned structure. Mechanical behavior has been studied for various values of fillet radius and load values. Fillet radius and load (on right as well as left hand side) has been varied from 3mm-9mm, with a difference of 2mm and 100N-10000N, in the multiple of 10N respectively. Continued increase in load, in turn, accelerates the stress, in the weld root and toes. The relation between stress, strain and total deformation with fillet radius is inversely proportional. 03 30 2020 4327 4332 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9394.038620 https://www.ijrte.org/portfolio-item/F9394038620/ Associate Professor, Electrical & Electronics Engineering Department, Kallam Haranadhareddy Institute of Technology, chowdavaram, Guntur,AP,India, Prabhakara Sharma. P* S K. Shabana B.Tech Final year Electrical and Electronics Engineering department. M. Siva Lingam Student of B.Tech Final year Electrical and Electronics Engineering department B. Gopi Studying B.Tech Electrical and Electronics Engineering from Kallam Haranadhareddy Institute of Engineering & Technology, Guntur, A.P., India K. L. V.Sesha Sai Student of final year Electrical and Electronics Engineering from Kallam Haranadhareddy Institute of Engineering & Technology, Guntur, A.P., India The power distributing system based on DVR is integrated by Super conducting Fault Current Limiter gives a viable solution to attain the stabilization of voltage magnitudes where the sensitive load and voltage sag effects are minimized. Over different compensation devices, the vastly recognized multi-use dynamic voltage restorer is integrated with superconducting fault current limiter to get improved features for power quality. In this paper, novel DVR integrated with SFCL was developed effectively to improve the bus voltage as well as to suppress the fault current. It is observed that the capacity of proposed DVR along with SFCL is decreased with increased voltage at the bus when compared with single DVR method. The cost also less for this proposed method than the single DVR system. It is also observed that output power compensated and also total harmonic distortions can be reduced in this proposed method. In the proposed system by adopting the tool like MAT LAB / SIMULINK the disadvantages of single DVR method like using inverter for three level voltage source, high rating of filters, poor efficiency with respect to system performance etc., are resolved with improvised power along with reduction in total harmonic distortions. 03 30 2020 4689 8692 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9400.038620 https://www.ijrte.org/portfolio-item/F9400038620/ ECE department, National Engineering College, Kovilpatti, Tuticorin, Tamilnadu, India. J. Kishore* T. Karthikeyan ECE department, National Engineering College Kovilpatti Tuticorin, Tamilnadu, India. R.Madhav Dinesh ECE department ,National Engineering College, Kovilpatti, Tuticorin, Tamilnadu, India. Dr.K.J.Prasanna Venkatesan ECE department, National Engineering College, Kovilpatti, Tuticorin, Tamilnadu, India. The paper mainly focuses on reducing the space occupied by having both Indian style commode and a western style commode and to help elder people having knee pain and back pain to easily use the commode. By automatically adjusting the height of the commode based on the person’s need can help to combine the two separate toilets thus reducing the space needed for two different toilets. Now a days people are moving towards western style rural people difficult to use western style, similarly older people are finding difficult to use Indian style commode due to knee problems. Thus two different types of commodes are necessary but having two separate toilets for different types in cities like Chennai, Mumbai, and other metro cities is difficult. So to reduce the space occupied by the toilets and to use it in a efficient way and to help the elder people to easily use the toilet. the AMIND WESCOM(Automated indo-western commode) will be an efficient one. 03 30 2020 5530 5533 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9402.038620 https://www.ijrte.org/portfolio-item/F9402038620/ Electrical Power and Machines Dept., Faculty of Engineering, Ain Shams University, Cairo, Egypt. Nourhan M. Elbehairy* Rania A. Swief Electrical Power and Machines Dept., Faculty of Engineering, Ain Shams University, Cairo, Egypt. Amr M. Abdin Electrical Power and Machines Dept., Faculty of Engineering, Ain Shams University, Cairo, Egypt. T. S. Abdelsalam Head of Renewable Energy Department, Faculty of Energy and Environmental Engineering, British University in Egypt (BUE), Cairo, Egypt. In this paper, an optimal study is introduced to control the reactive power in an electrical network using a voltage source inverter based photovoltaic system. The control parameter optimization is achieved through a phase locked loop control. The photovoltaic systems are adopted on using multi inverters. Therefore, the analysis of a single inverter control strategy is considered a model for the whole system. The synchronization with the electrical grid is provided using phase locked loop control. According to a certain objective function, the control parameters are optimized and the pulses are generated to the inverter. The simulations are performed using the package of MATLAB/SIMULINK with a double stage PV model. The first stage contains a dc-dc converter to track the maximum power while the other stage includes the voltage source inverter that controlled using the phase locked loop. The simulation results are introduced through different cases of changing irradiance on the PV system. 03 30 2020 3915 3919 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9403.038620 https://www.ijrte.org/portfolio-item/F9403038620/ PhD candidate , - Structural Engineering Department - Ain Shams University., Egypt, Ahmed M. Ibrahim* Tamer H.Radwan Assistant Professor - Structural Engineering Department - Ain Shams University. Sherif A.Ibrahim Professor of Steel Structures and Bridges - Structural Engineering Department - Ain Shams University. Abdelrahim K.Dessouki Professor of Steel Structures and Bridges - Structural Engineering Department - Ain Shams University. The use of circular hollow sections (CHS) have increased due to its aesthetic appearance and good mechanical properties. This research investigates the behavior of the bolted CHS splices with circular end plates under pure bending moment that allows the use of CHS as long flexural members. Three connections are tested and the corresponding finite element models are constructed. The finite element models are verified with the experimental results and showed acceptable agreement in terms of both ultimate moment capacity and load-displacement curves. Three modes of failure are observed where the first is pure bolt failure, the second is pure end plate yielding while the third is a combination of the two modes where end plate plastifies accompanied by bolt failure. Stiffness is also observed and is found to be greatly affected by the thickness of the end plate. 03 30 2020 3847 3851 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9406.038620 https://www.ijrte.org/portfolio-item/F9406038620/ Information Systems Department, Bina Nusantara University, Jakarta, Indonesia. Mozari Putri* Zahrotur Rohimah Information Systems Department, Bina Nusantara University, Jakarta, Indonesia. XYZ company is a leading Enterprise Resources Planning (ERP) solution provider company from Singapore that develops innovative software to help businesses automate their daily operations to achieve optimal levels and productivity. To realize its vision of becoming a leading Enterprise Resources Planning (ERP) solution provider in South East Asia, a solution to the current problems is needed, namely that the project management is not optimal so that some projects are not completed according to the timeline due to poor communication. This study aims to build an Enterprise Architecture using The Open Group Architecture Forum framework (TOGAF) that supports the design, planning, implementation and governance of an enterprise information technology architecture, so that this framework will help the company to improve the quality of project management information systems. This study implements 4 phases of TOGAF, namely Architecture Vision, Business Architecture, Information System Architecture, and Technology Architecture to build an application management project called Internal Po. In this study, TOGAF framework will help the company's business to achieve its vision. 03 30 2020 3852 3857 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9407.038620 https://www.ijrte.org/portfolio-item/F9407038620/ Student, Department CSE, BTech, Koneru Lakshmaiah Education Foundation, Guntur, India, Vutla Raja Manikanta Prakash Jammula Hima Bindu Student, Department Of CSE, BTech, Koneru Lakshmaiah Education Foundation, Guntur, India Neerukattu Rahul Student, Department Of CSE, BTech, Koneru Lakshmaiah Education Foundation, Guntur, India, Tiruveedhula Sajana Department Of CSE, Associate Professor, Koneru Lakshmaiah Education Foundation, Guntur, India The diagnosing of diabetic retinopathy (DR) through shading structure photos needs significance of the many tiny that alongside advanced grading system makes this troublesome and long task. Diabetic Retinopathy is associate inconvenience of polygenic disorder that's caused attributable to the changes within the veins of the tissue layer. This is often one in every of the numerous reasons for visual deficiency. Diabetic Retinopathy is thus far treated by medical specialist that could be a time-taking procedure. Diabetic retinopathy is that the fastest developing reason for handicap. Thus, by taking some eye tissue layer photos, see able of that photos can find that whether the patient could be a diabetic or a non-diabetic. We will acknowledge the diabetic addicted to eye tissue layer photos utilizing some AI applications. Some of the creators used CNN, k-means that means. In this work, proposing that to enhance the truth utilizing morphological techniques. 03 30 2020 5269 5273 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9408.038620 https://www.ijrte.org/portfolio-item/F9408038620/ Assistant Professor In Department Of Mathematics, Swami Vivekanand Subharti University, Meerut, Uttar Pradesh, India. Amit Kumar Rana* The livestock and agriculture is like lifeline of Indian villagers and economy. India is ranked first in livestock population and second in fish production. Fish is major part of eating in south and most of eastern part of India and use aquaculture for fish production India s also a major producer of fish through aquaculture, and ranks second in the world. In such condition forecasting of livestock is important in making policies and marketing, planning of products related to livestock and fishes. Fuzzy time series (FTS) is of great importance for such forecasting. But the problem with FTS forecast lies with the accuracy. There are many methods for linguistic values as variables for data of time series, but limitations starts with the error in forecasted and actual value. The present work studies the forecasting of fish production in India rainfall forecasting by FTS using two interval differences is proposed. The presented method is tested on the official data of deptt. of Animal Husbandry, Dairying and Fisheries, Government of India and compared with Chen’s models used for university enrollment. The forecasted values shows better result compared to Chen model. 03 30 2020 5534 5537 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9412.038620 https://www.ijrte.org/portfolio-item/F9412038620/ Dept. of CSE, Gitam University, Bangalore, India. Madhurya J A Beena G Pillai Dept. of CSE, Gitam University, Bangalore, India. In recent times, most the people are using internet where they are going to share sensitive information with other individual or with an organization like hospital, banking sector or business companies. So such huge amount of information will be stored on cloud. The attackers may try to hack the sensitive data and will try to misuse that data. So here the security for data comes first. There are numerous methods available to provide security for the data that is being shared among individuals or organizations. Most of the organizations take enough precautions to secure data that is shared with third party organizations. In recent times providing privacy for the sensitive data is high priority. The objective of this research is to discover the various data masking solutions for different applications for providing security to the data. Established data privacy method like AES or DES encryption technique proves to be proficient but time consuming. In order to avoid time consumption and to provide privacy for the data being shared, this paper proposes a information hiding method based on format-preserving encryption for sensitive data. This method will masquerade only sensitive data and make sure the encrypted data is still in the original format where it doesn’t consume much memory space. Organization like hospitals or banking sector or any business companies can use this format-preserving method to enhance the security of the data being shared. Tested the information on Spark illustrate that information hiding method based on format-preserving encryption can provide data privacy for sensitive data and preserve data format. 03 30 2020 5334 5337 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9422.038620 https://www.ijrte.org/portfolio-item/F9422038620/ Assistant Professor, Kongu Engineering College, Perundurai, India. Dr.P. Sundharesalingam* Ms.B. Hemalatha pursuing Master of Business Administration in Kongu Engineering College, Perundurai Dr.P.Vidhya Priya Associate Professor, Kongu Engineering College, Perundurai, India. Dr.M. Mohanasundari Assistant Professor, Kongu Engineering College, Perundurai, India. this work is carried out to apply the lean tools i.e., 5S to solve the problems in a detergent manufacturing industry. The lean tools are one of the most effective and efficient method for eliminate the waste, improve the quality, overall performance of the machine and improves the annual profit. Their main aim is to reduce the cycle time. The objective of this work is to increase the productivity and eliminate the unwanted steps. Primary method is used for the data collection i.e., Observation method. The stopwatch is used to calculate the time taken for each job. The improvement of work process was executed by eliminating and combining the work process, which reduce the production time, number of process, increases the production rate and also provides the free space. 5S is used to achieve the objectives. The time taken to complete the work has been noted down before and after implementation of 5S. When we reduce the cycle time, the productivity will increase. When we implement the 5S the cycle time will reduce from 190 sec to 110 sec. 03 30 2020 3858 3863 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9423.038620 https://www.ijrte.org/portfolio-item/F9423038620/ Computer Science program at VR Siddhartha Engineering College. affiliated to JNTUK University, Kakinada. Geethika Jujjavarapu* Siddhartha Duggirala Bachelor of Technology in Computer Science and Engineering at VR Siddhartha Engineering College afflicted to JNTUK University, Kakinada. Anulekha Kavutarapu B.Tech final year in Computer Science and Engineering at VR Siddhartha Engineering College affiliated to JNTUK University, Kakinada. Mr. Ravikishan Surapaneni Associate Professor, CSE department at VR Siddhartha Engineering College Air pollution is a major problem that has been recognized throughout the world. Harmful impacts of air contamination include hypersensitive reactions such as throat irritation, itchy eyes, nose, and some other serious problems. In recent years, the number of fatalities occurred due to air pollution has been increasing dramatically. In this paper, various air pollutants such as Carbon Monoxide, Methane or natural gas, LPG, and air quality at different places of city are measured using sensors. Further, the detected values are then used in the prediction of future values. The evolution of deep neural networks and Internet of Things made this possible to detect and forecast the concentration of pollutants underlying in the air. We use a special module called pyFirmata firmware which is used to connect the Arduino with python and upload the data into csv file on Jupyter Notebook. Here, the data collected is univariate i.e. it varies with only time. Though there are many statistical models to predict time series datasets such as ARIMA, their efficiency is low. Deep Neural Networks works well for predicting univariate as well as time series datasets. Hence, the Keras sequential model is employed to predict the hourly future values of air pollutants based on previous readings. The final results of prediction are compared with the actual values and error is calculated. As a result, the level of air pollutants at a particular hour can be predicted. The concentration of air pollutants in coming years, month or week helps us to reduce its concentration to lesser than the harmful or toxic range. 03 30 2020 4161 4165 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9425.038620 https://www.ijrte.org/portfolio-item/F9425038620/ B. Tech in Computer Science and Technology from Vellore Institute of Technology, Vellore, India Prajval Mohan* Pranav Narayan B. Tech in Computer Science and Technology from Vellore Institute of Technology, Vellore, India Lakshya Sharma B. Tech in Computer Science and Technology from Vellore Institute of Technology, Vellore, India Tejas Jambhale B. Tech in Computer Science and Technology from Vellore Institute of Technology, Vellore, India Simran Koul B. Tech in Computer Science and Technology from Vellore Institute of Technology, Vellore, India This paper presents a thorough comparative analysis of various reinforcement learning algorithms used by autonomous mobile robots for optimal path finding and, we propose a new algorithm called Iterative SARSA for the same. The main objective of the paper is to differentiate between the Q-learning and SARSA, and modify the latter. These algorithms use either the on-policy or off-policy methods of reinforcement learning. For the on-policy method, we have used the SARSA algorithm and for the off-policy method, the Q-learning algorithm has been used. These algorithms also have an impacting effect on finding the shortest path possible for the robot. Based on the results obtained, we have concluded how our algorithm is better than the current standard reinforcement learning algorithms. 03 30 2020 4333 4338 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9429.038620 https://www.ijrte.org/portfolio-item/F9429038620/ Department of Civil Engineering, SVERI’s College of Engineering, Pandharpur, India. Srushti Bagal* Dr. Prashant Pawar Department of Civil Engineering, SVERI’s College of Engineering, Pandharpur, India. Vidyarani Kshirsagar* Department of Civil Engineering, SVERI’s College of Engineering, Pandharpur, India. Avinash Kokare* Department of Civil Engineering, SVERI’s College of Engineering, Pandharpur, India. The Civil Engineering profession has been changing the structural engineering design paradigm from life safety (LS) to Performance Based Seismic Design (PBSD) to tackle catastrophic damage caused by recent earthquakes worldwide. This paper is about the PBSD analysis of steel frame subjected to earthquake loading. Steel is by far the most versatile building material in the world and steel structure has played a major role in construction industry in the last decades. In this a multistoried bare and braced steel frames are analyzed by PBSD procedure in STAAD Pro Advanced following nonlinear static analysis. Frame components (beam, columns, etc.) are progressively adjusted to account for nonlinear elastic–plastic behavior under constant gravity loads and incrementally increasing lateral loads. Capacity curve is obtained for each frame and comparatively studied to decide which type of frame can meet the desired performance level during earthquake. The results of the analysis performed to meet required performance are presented in terms of displacement, shear forces, plastic hinges and capacity curve. 03 30 2020 4166 4174 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9430.038620 https://www.ijrte.org/portfolio-item/F9430038620/ EEE Department, National Engineering College, Kovilpatti, India. B. Vinitha* S. Amritha EEE Department, National Engineering College, Kovilpatti, India. M. Sinduja EEE Department, National Engineering College, Kovilpatti, India. M. Sonia EEE Department, National Engineering College, Kovilpatti, India. P. Abinaya EEE Department, National Engineering College, Kovilpatti, India. Dr.M. Ravindran* EEE Department, National Engineering College, Kovilpatti, India, The cloth folding machine is an easy and useful process in this world of tortoise and rabbit race. The machine’s operation requires tiny human contribution, which is significantly useful for people who are not keen to arrange their clothes. The idea of this project is to fold up cloth by just pressing a switch. In this project, we used five separate plates with the center plate as fixed and the other four plates are movable. This plate follows a pattern that is programmed in the microcontroller. ATMEGA8 Microcontroller is used. Four servo motors are connected to the microcontroller. And these servo motors are connected to the four movable plates.100KΩ preset is used to change the angle for servo motor.100μF and 104 capacitors are used for charging. It will consist of two folding patterns for shirts and pants. Based on the purpose of design, a cloth folding machine is a household appliance. 03 30 2020 4492 4495 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9441.038620 https://www.ijrte.org/portfolio-item/F9441038620/ Asst. Prof. Dept. of MCA, BMS Institute of Technology & Management, Affiliated to Visvesvaraya Technological University, Karnataka State, India Mr. Shivakumara T* Mr. Muneshwara M S Assistant Professor, Dept. of CSE, BMS Institute of Technology & Management, Affiliated to Visvesvaraya Technological University, Karnataka, India Dr. Rajshekhar M Patil Professor, Department of CSE, School of Engineering, CMR University, Karnataka, India Mrs. Nirupama B K Assistant Professor, Department of MCA, BMS Institute of Technology and Management, Affiliated to Visvesvaraya Technological University, Karnataka State,India Dr. Chethan A S Professor, Dept. of Mathematics, BMS Institute of Technology & Management, Affiliated to Visvesvaraya Technological University, Karnataka, India The paper proposes Automation of trainee Life cycle to override the problems that exist in the current manual system. This paper is supported to eliminate and to reduce the difficulties faced in existing system. This system is particularly designed for a company to carry out their operations in a smooth and effective manner. Automation of trainee Life cycle refers to an employee's journey in the company, the trainee to employee life cycle from the initial phase of recruitment to resignation or terminations. The selection of the centers will be based on the previous year days for a particular center. After the selection of center's the interview dates will be selected and the interview will be held for that particular center on the selected dates and in the end result of the interview will be updated to the application. 03 30 2020 3864 3869 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9439.038620 https://www.ijrte.org/portfolio-item/F9439038620/ Assistant Professor, Srm Institute Of Science And Technology,Ramapuram Campus,Chennai,Tamilnadu, India Ms. Sangeetha* R. Ambrish Btech-Information Technology At Srm Institute Of Science And Technology,Ramapuram Campus,Chennai,Tamilnadu, India M. Madhav Btech-Information Technology At Srm Institute Of Science And Technology,Ramapuram Campus,Chennai,Tamilnadu, India J. Karthick Btech-Information Technology At Srm Institute Of Science And Technology,Ramapuram Campus,Chennai,Tamilnadu, India According to survey report on the internet, the road accident cases are increasing exponentially. Most of the accident cases are due to distraction of drivers, over speed, panic attacks of drivers. We are proposing a system that will take control of the vehicle system if the driver is distracted. The existing system uses a sensor based indication or Recurrent Neural Network (RNN) installed semi self driving cars. The proposed system uses Convolutional Neural Networks to understand the behaviour of the driver and the environment. Naturalistic data collection of ten drivers is being collected and are treated as a qualifying dataset. 03 30 2020 4175 4176 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9443.038620 https://www.ijrte.org/portfolio-item/F9443038620/ Assistant Professor, Department of Computer Engineering, Dwarkadas J. Sanghvi College of Engineering, Mumbai, India. Chetashri Bhadane* Dr. Ketan Shah Professor, SVKM’s MPTSME, Mumbai, India. Parth Jhunjhunwala Department of Computer Engineering, Dwarkadas J. Sanghvi College of Engineering, Mumbai, India. Ayush Kothari Department of Computer Engineering, Dwarkadas J. Sanghvi College of Engineering, Mumbai, India. Many traditional systems give recommendations to the users based on their past history without considering the context of the situation the user is in currently. Such systems may be good at prediction based on the past but do not consider the rapidly changing environment and the prediction may not be the best for the user. Context personalized to the user is important because it explains the situation the user is in. The recommendations to the user should also change according to the various contexts present. Context often represents the hidden state information that the user is in currently. Many systems often take into consideration the location of the user because the situation of the user generally changes with the location. In this paper, we explain why context is important while predicting results for the users by reviewing a set of papers where different contexts such as weather, time, location, user preference, and activity have been taken into consideration. These papers have taken context such that the recommendations to users change dynamically according to their situation or location and these recommendations can be of various forms such as search results or targeted advertisement. Location based Services, Location based advertisement and several types of context have also been discussed in the paper. A general architecture of context-aware systems has also been proposed. Several real world companies also make use of this contextual information so that the user has a dynamic user experience where all the states which might affect his decision making are taken into consideration. 03 30 2020 5826 5831 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9449.038620 https://www.ijrte.org/portfolio-item/F9449038620/ Department of Electrical and Electronics Engineering, Kongu Engineering College, Erode, India. Rajesh Kumar K S* Usha S Associate Professor, Department of Electrical and Electronics Engineering, Kongu Engineering College, Erode, India. Karthik M Associate Professor, Department of Electrical and Electronics Engineering, Kongu Engineering College, Erode, India. The inexhaustible source of energy which produced from sun through radiation and it is readily available source at free of cost. Solar Photo Voltaic (PV) systems are used as a primary source to produce power. The solar PV system needs DC-DC converter with enhanced voltage gain as well as efficiency. A typical DC-DC converter provides constrained gain and productivity as increase in requirements. For organization of battery Bidirectional converter is used which allows the energy flow in both the direction. The complete working of below voltage PV system and battery that is used are worked by using various dc converters from which the efficiency and gain level can be improved. Maximum Power Point Tracking (MPPT) is employed to receive peak power from solar PV by sustaining DC line voltage and satisfy power requirements. The perturb and observe (P&O) algorithm is mostly used to obtain the high voltage from solar PV. The entire framework is designed and simulated using MATLAB-Simulink toolbox. 03 30 2020 3870 3874 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9452.038620 https://www.ijrte.org/portfolio-item/F9452038620/