-74813b3e17f460286df-56ee 20220406080401846 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/ Computer Science Engineering, Excel Engineering College, Tamil Nadu, India. Samjana Acharya* Dr. S. Sreethar Computer Science Engineering, Excel Engineering College, Tamil Nadu, India. Pramod Thapa Computer Science Engineering, Excel Engineering College, Tamil Nadu, India. Shweta Shah Sonar Computer Science Engineering, Excel Engineering College, Tamil Nadu, India. M. Aarthi Computer Science Engineering, Excel Engineering College, Tamil Nadu, India. Modern India has had a strong focus on technology. There exists technology in all the field including government sector. The main objective of this paper is to provide the method to secure the file monitoring system. This application is to monitor every file movements of all the employee and timely informed via SMS, emails. For this purpose, each file contains the barcode and whenever file move out of the warehouse then the barcode are scanned to update its status. This system is build using blockchain technology. One of the reasons to choose the blockchain is because a blockchain is distributed, decentralized, secured, digital playscript which is use for recording the transaction over many computers so that records cannot be altered. The aim of this experiment is to provide file transparency and should provide estimated turnaround time at each stage. 03 30 2020 4311 4314 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9170.038620 https://www.ijrte.org/portfolio-item/F9170038620/ 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. Raghulkrishnaa 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/