-4d90550d17f4602e089-5e7c 20220331033653333 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 UG Student, Department of Electrical and Electronics Engineering, Saveetha School of Engineering, Chennai, India. Manikanta R. V. S* Ramya G. Assistant Professor, Department of Electrical and Electronics Engineering, Saveetha School of Engineering, Chennai, India. Smart homes hold the potential for expanding vitality productivity, diminishing expenses of vitality use, diminishing the carbon impression by including sustainable assets, and transshipping the job of the tenant. At the essence of the keen home is a proficient electric vitality the board framework that is empowered by developing advancements in the power network and purchaser hardware. This review article exhibits a conversation of the condition of the craftsmanship in power the executives in keen homes, the different empowering advancements that will quicken this idea, and themes around shopper conduct as for vitality utilization by using SHEM’s concept. 03 30 2020 3771 3779 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7791.038620 https://www.ijrte.org/portfolio-item/F7791038620/ Assistant Professor, Department of Electronics and communication engineering, SNS college of technology ,Coimbatore, India. M. Saravanan* J. Ajayan Assistant Professor, Department of Electronics and communication engineering, SNS college of Technology ,Coimbatore, Tamilnadu,India R. B. Sudharsan B.E Degree,Electronics and communication Engineering , SNS college of Technology, Coimbatore. R. sangeetha B.E Degree,Electronics and communication Engineering , SNS college of Technology, Coimbatore. A. Vidhyashri B.E Degree,Electronics and communication Engineering , SNS college of Technology, Coimbatore. C. Swathi B.E Degree,Electronics and communication Engineering , SNS college of Technology, Coimbatore. Light fidelity is a upcoming technology for high speed data transmission and controlling home appliances. Visible light communication is the technology used in Li-Fi that uses Light emitting diodes. The evolution of Li-fi is to overcome the rate of speed and security in Wi-Fi. The photo diode in this will convert the flashes into electrical signal and it is amplified to provide output. The optical carrier for data transmission is between 400 THZ and 800THZ.The main advantage of Li-Fi is high density, high speed and high accuracy. 03 30 2020 5148 5152 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7795.038620 https://www.ijrte.org/portfolio-item/F7795038620/ Assistant Professor, Department of Electronics and Communication Engineering, SNS College of Technology, Coimbatore, India. M. Saravanan* Dr. D. Yuvaraj Assistant Professor, Department of Computer Science, Cihan University, Duhok, Kurdistan Region, Iraq. K. Lokesh Pursuing B.E., Department of Electronics and Communication Engineering at SNS College of Technology- Coimbatore, India. R. Maheshashwin Pursuing B.E, Department of Electronics and Communication Engineering, SNS College of Technology- Coimbatore, India. S. V. Kavin Karthik Pursuing B.E, Department of Electronics and Communication Engineering, SNS College of Technology- Coimbatore, India. In our society, the major problem in the petrol station is waiting for a long time to fill the petrol, even though the filling is done the money handling take longer by implementing this project we can do it quickly. Now UPI ID is available in the petrol station for the transaction purpose only. This idea will eliminate the human resources used in the station. The right quality can ensure by maintaining the proper density of petrol/diesel. To measure fuel quantity regularly, we insert a device inside the underground storage tank. It gives the reading of fuel quantity in the display unit. Automation helps build trust among the customers. At a petrol pump trust is the most significant factor in growing sales. Most of the customers will come from a nearby locality if they generate strong word of faith then more customers will visit. 03 30 2020 1596 1599 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7796.038620 https://www.ijrte.org/portfolio-item/F7796038620/ Associate Professor and Head of School of Management in Graphic Era Hill University, Bhimtal Neeraj Nautiyal* Mr. Sandeep Bisht Assistant Professor at Graphic Era Hill University, Bhimtal Mr. Bhavesh Joshi Assistant Professor in Graphic Era Hill University, Bhimtal Mr. Harshit Pandey Assistant Professor in Graphic Era Hill University, Bhimtal Mr. Narendra Bisht Assistant professor in Graphic Era Hill University, Bhimtal Blockchain led technology is unlocking value to business by boosting supply chain authenticity and expediting the entire operational process for a large rally of projects that are underway in selective industries. The current paper attempt to observe a reality check on the different useful application of blockchain technology over various sectors to reshape the economy in general and over the supply chain and logistics system in particular. The study also validates the enthusiasm of blockchain’s potential i.e., claim for revolutionising business and society over the virtual effect it is creating in the challenging environment of developing regions. Supply chain and entire logistic domain have evolved to be an active participant to took up and adapt to blockchain innovation. The current study adds to the existing literature by driving the subject matter from different studies results concerning blockchain technology along with author own outlook. An observation approach to reflect critics, supporters towards the adoption of technology led by blockchain also developed the foundation of the work. 03 30 2020 1711 1716 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7797.038620 https://www.ijrte.org/portfolio-item/F7797038620/ Department of Computer science, Sri Krishna Adithya College of Arts and Science,Coimbatore, Tamilnadu,India S. Thilagavathi* S. Ahamed Johnsha Ali Department of Computer Application, Sri Krishna Adithya College of Arts and Science,Coimbatore, Tamilnadu,India S. Lakshmidevi Department of Computer science, Sri Krishna Adithya College of Arts and Science,Coimbatore, Tamilnadu,India K. Brindha Department of Computer Application, Sri Krishna Adithya College of Arts and Science,Coimbatore, Tamilnadu,India Mammography is the best existing assessment for the discovery of early indications of breast cancer, for example, masses, calcifications, respective asymmetry and building twisting. Furthermore, mammograms are hard to interpret, particularly of cancer at their beginning times. The presence of relics and commotions can exasperate the location of breast cancer and decrease the pace of accuracy in the computer aided analysis (CAD). For this reason, pre-processing of mammogram images is significant during the time spent breast cancer analysis since it could decrease the quantity of false positive. Then again, it could assist radiologists with making an examination between mammograms. This paper proposed to Novel Threshold Based Pre Reduction Technique and Pre Processing research strategy of mammography breast cancer image processing. 03 30 2020 1520 1524 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7803.038620 https://www.ijrte.org/portfolio-item/F7803038620/ Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur Pratik Mehta* Dr. E. Sasikala Associate Professor in Computer Science and Engineering at SRM Institute of Science and Technology, Kattankulathur. For the past couple of years, Machine learning and trading helped by artificial intelligence has drawn growing interest. Here, the approach is used to test the hypothesis that the inefficiency of cryptocurrency industry can be exploited in order to produce anomalous revenue. For the duration between Nov. 2015 and Apr. 2018, daily data for 1, 681 crypto currencies were analyzed. Simple trade techniques supported by state-of -the-art machine learning algorithms are seen to outperform the traditional benchmarks. The results obtained imply that non-trivial, but fundamentally simple, algorithmic processes will help to predict the short-term future of the cryptocurrency market. The popularity of cryptocurrencies had skyrocketed in 2017 due to several consecutive months of super-exponential growth of market capitalization. There are over 1,500 currently recorded cryptocurrencies actively trading today with the cryptocurrencies sitting on more than $300 billion [2], and a total market capitalization of over $800 billion in January 2018. According to a recent survey, between 2.9 and 5.8 million privates as well as institutional investors are in the numerous investment networks and access to markets has become easier over time. In a number of online markets, major crypto currencies can be purchased using fiat currency, and then used in order to purchase less known crypto currencies. The average trading amount is globally exceeding $15bn. About 170 money market funds had been invested in cryptocurrencies since 2017, and Bitcoin futures are launched in order to satisfy the Bitcoin trading and hedging demand for the market. The main objective of the work is to predict the Bitcoin prices, one of the most popular and widely used cryptocurrency which is a source of attraction for many investors as a source of profit or investment. But the market for the cryptocurrencies been volatile since the day it was first introduced. So, the approach towards the survey is to use LSTM RNN and use the available dataset and train the model to give the highest possible accuracy and to provide a real-time price of the Bitcoin for the following days. 03 30 2020 1303 1307 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7808.038620 https://www.ijrte.org/portfolio-item/F7808038620/ Department of Electronics and Communication Engineering, MEPCO Schlenk Engineering College, Sivakasi – 626005, Tamilnadu, India G. Prema S. Arivazhagan Department of Electronics and Communication Engineering, MEPCO Schlenk Engineering College, Sivakasi – 626005, Tamilnadu, India Image fusion is the process of coalescence of two or more images of the same scene taken from different sensors to produce a composite image with rich details. Due to the progression of infrared (IR) and Visible (VI) image fusion and its ever-growing demands it led to an algorithmic development of image fusion in the last several years. The two modalities have to be integrated altogether with the necessary information to form a single image. In this article, a novel image fusion algorithm has been introduced with the combination of bilateral, Robert filters as method I and moving average, bilateral filter as method II to fuse infrared and visible images. The proposed algorithm follows double - scale decomposition by using average filer and the detail information is obtained by subtracting it from the source image. Smooth and detail weights of the source images are obtained by using the two methods mentioned above. Then a weight based fusion rule is used to amalgamate the source image information into a single image. Performances of both methods are compared both qualitatively and quantitatively. Experimental results provide better results for method I compared to method II. 03 30 2020 1525 1529 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7809.038620 https://www.ijrte.org/portfolio-item/F7809038620/ School of Computing Graphic Era Hill University, Dehradun, India. Nidhi Mehra *Divya Kapil School of Computing Graphic Era Hill University, Dehradun, India. Reuse is the elementary and essential attribute of the component-based software engineering. Reusability focuses on building huge and complex software through assembling pre-fabricated software constructs. In this paper, our emphasis is on to analyze and quantify the two core notions of component-based software, that is, reusability and interaction behavior of the components with the goal of minimum complexity generation. We analyse prominent works available in the literature in the area of reuse and interaction complexities. We Analyze and Estimate reusability complexities of components in Component-Based Software Engineering and we propose efficient and useful metrics to compute the reusability of components. Reusability metrics are defined for individual components as well as overall system level. Different types of components are defined on the basis of their reusability, that is, components that can be reused as it as, and tailored components. To define the metrics we have used lines-of-code as the basic parameter due to its simplicity and countability. We proposed a matrics which select the best component on the basis LOC based complexity.We compare IRMCcTotal-i matrics with SCCp metrics and SCCr metrics and analyses that negative relationship between SCCp and IRMCcTotal-i shows low portability and positive relationship between SCCr and IRMCcTotal-i shows high portability. 03 30 2020 1600 1608 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7811.038620 https://www.ijrte.org/portfolio-item/F7811038620/ (B.E. student) Department of Mechanical Engineering., Sri Eshwar College of Engineering., Coimbatore, Tamil Nadu, India. Mr. Lalithmohan S. Mr. Kavinprabhu L. (B.E. student) Department of Mechanical Engineering., Sri Eshwar College of Engineering., Coimbatore, Tamil Nadu, India. Mr. Jayaseelan T. (B.E. student) Department of Mechanical Engineering., Sri Eshwar College of Engineering., Coimbatore, Tamil Nadu, India. Mr. Naveen Kumar V. (B.E. student) Department of Mechanical Engineering., Sri Eshwar College of Engineering., Coimbatore, Tamil Nadu, India. Mr. Suresh babu Y. M.E., Assistant professor (Guide) Department of Mechanical Engineering., Sri Eshwar College of Engineering., Coimbatore, Tamil Nadu, India. Smart faucet aims to reduce the wastage of water that happened in the bathroom while using a solar water heater for a bath. It also prevents the hot water scalds due to high temperature in showers and hot water taps. It controls the hot water temperature by mixing required cold water to bring down to user-defined temperature. Users can set the temperature value in the control unit and switch it either by the switch or by using the mobile application using IoT. It takes time to reach hot water in tap from solar water heater due to long pipeline connections. So much water is wasted and time too. Users can switch the unit and make it ready for use before entering the bathroom by using the mobile application. Unless Coldwater stored in the hot water pipeline is underground water storage for recycling. Smart faucet uses NodeMCU as a controller, temperature sensor, motorized ball valves, solenoid valves, temperature knob and relays for switching the solenoid valves. NodeMCU is incorporated with the android application called ‘Blynk’. It receives and sends data to NodeMCU so that the user can monitor all the parameters like flow rate, temperature, the quantity of water used and control the unit from the mobile. The motorized ball valve is used to regulate the water flow rate. So that the ratio of hot water to cold water can be achieved. These adjustments are carried out by means of the control unit as per the decision taken according to the temperature sensor value. In the meantime, the temperature required by the user can be taken as input by means of a potentiometer. By considering the user-defined temperature and temperature sensor signal, the angle of hot water and cold-water ball valve will be modified automatically to achieve the required temperature. The solenoid valve will open and close the line for draining purposes and for use. It acts as a direction control valve. All the above processes will carry out simultaneously once the user switch ON the unit. Hence wastage of water will be stopped and valve automation is achieved. 03 30 2020 1896 1901 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7812.038620 https://www.ijrte.org/portfolio-item/F7812038620/ Research Scholar, I.K. Gujral Punjab Technical University, Jalandhar, Punjab, India. Poonam Salwan* Dr. Veerpaul Kaur Maan A.P., Giani Zail Singh Punjab Technical University, Bathinda, Punjab, India. The constant innovations and rapid developments in the IT industry have revolutionized the thinking and mindset of the people throughout the world. Government departments have also been computerized to provide transparent, efficient and responsible government through e-governance. The government have been providing access to various websites or portal for filing complaints, uploading or downloading forms, pictures, data or PDFs to avail the government services. Enlightened citizens are frequently using the portal to access government services. Thus, the size and volume of data that need to be managed by government departments have been increasing drastically under e-governance. The traditional database management system is not designed to deal with such mix type of data. Moreover, the speed at which the e-governance generated data need to be processed is another big challenge being faced by traditional database system. All the abovesaid concerns can be solved by using the emerging technology - Big Data Analytics techniques. Big data analytic techniques can make the government more efficient and transparent by processing structured, unstructured or mixed types data at a great speed. In this paper, we shall understand the scenario for the need or the emergence of big data analytics in e-governance and knowhow of Apache Spark. This paper proposes a practical approach to integrate big data analytics with e-governance using Apache Spark. This paper also reflects how major issues of traditional database management system (mixed type datasets, speed and accuracy) can be resolved through the integration of big data analytics and e-governance. 03 30 2020 1609 1615 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7820.038620 https://www.ijrte.org/portfolio-item/F7820038620/ Dept. of Information Science and Engineering, Vidyavardhaka College of Engineering, VVCE, India. Prof. Prashanth M V* Nida Susan A K Dept. of Information Science and Engineering, Vidyavardhaka College of Engineering, VVCE, India. Sanjana M S Dept. of Information Science and Engineering, Vidyavardhaka College of Engineering, VVCE, India. Agriculture is very important to the continuation of mankind, which maintains a driving factor for many world economies, especially in stunted and emerging countries. The bread and food crop mandate is increasing due to the globe’s expanding population and the challenges posed by environmental issues, while reducing costs. Agricultural researchers often use software systems without an appropriate analysis of the ideas and mechanisms of a technique. Intelligence is seen as the greatest challenge for nurturing the productive capacity and accurate performance output. Throughout this paper we aim to understand the key techniques of using robots in agriculture. Deep learning was extensively studied and implemented in multiple fields of recent years, along with agriculture. Robot systems provide a stable, price-effective, flexible and modular product development system and deliver predictive results. 03 30 2020 2266 2271 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7823.038620 https://www.ijrte.org/portfolio-item/F7823038620/ Advanced Manufacturing Center, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 D. Tunggal, Melaka, Malaysia. R. Izamshah* A. R. Firdauz Royal Malaysian Police Technical College, Batu 6, Jalan Bakri, 84200 Muar, Johor, Malaysia M.S. Kasim Advanced Manufacturing Center, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 D. Tunggal, Melaka, Malaysia. M.S.A Aziz Faculty of Manufacturing Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 D. Tunggal, Melaka, Malaysia. M. Rafiq Advanced Manufacturing Center, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 D. Tunggal, Melaka, Malaysia. The usage of chemical treated toughened glass has steadily increased especially for electronic panel display devices. Due to the ion-exchange process throughout the surface treatment phase has create six to eight times tougher and crack resistance as compare to normal float glass. Owing to these, the subsequent manufacturing process such as conventional drilling is almost impossible for this toughened glass. Considering these fact, in this paper feasibility study on the effectiveness of applying ultrasonic frequency during the drilling process toward holes’ quality were investigated. Sets of experimental investigation of ultrasonic assisted drilling with varying speed and feed rate were performed to evaluate the burr formation and the generated thrust force magnitude. From the experimental results, it was found that the areas of burr formation and the thrust force magnitude were dependent with the drilling parameter. It also can be noted that the present of the ultrasonic vibration show significant improvement on the holes’ performance. By incorporating the drilling process with an ultrasonic vibration able to decreases the magnitude of thrust force and increases the effectiveness of chip evacuation process due to the intermittent cutting process. The outcome from this work serve as a basis for advancing the technology related to micro machining of chemical treated toughened glass. 03 30 2020 3240 3244 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7824.038620 https://www.ijrte.org/portfolio-item/F7824038620/ CSE, University Visvesvaraya College of Engg, Bangalore University, Bangalore, India. Geeta C Mara* Nikhil R C ASE, Jain University, Bengaluru, India. Raghavendra S CSE,University Visvesvaraya College of Engg, Bangalore University, Bangalore, India. Rajkumar Buyya CSE, The University of Melbourne, Australia Venugopal K R Bangalore University, Bangalore, India. In cloud repository amenities, deduplication technology is often utilized to minimize the volume and bandwidth by removing repetitious information and caching only a solitary duplicate of them. Deduplication is extremely productive when many customers deploy the identical information to the cloud repository, but it aggrevates problems pertaining to safety and proprietorship. Proof-of-ownership mechanism authorize any possessor of an identical information to approve to the cloud repository server that he possess the information in a dynamic way. In repository utilities with enormous information, the repository servers may want to minimize the capacity of cached information, and the customers desires to examine the integrity of their information with a reasonable cost. Aiming at realizing integrity auditing and deduplication with effective proprietorship administration of information in the cloud, we propose Virtual Auditing and Secure Deduplication with Dynamic Ownership Management in Cloud (VASD2OM) mechanism. It empowers the distributed server to limit access to the deployed information though the proprietorship transforms actively. Further, the mechanism supports safe and effective virtual auditing of the documents during the download process. In addition, the proposed mechanism lowers the burden of dataowner to audit documents by himself and there is no need to authorize auditing to a Third Party Auditor (TPA). Experimental results demonstrate that the virtual auditing has low auditing time cost relative to the existing public auditing schemes. 03 30 2020 5504 5514 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7825.038620 https://www.ijrte.org/portfolio-item/F7825038620/ P.G. Professor & Research Supervisor Department of Commerce, VISTASUniversity, Pallavaram,Chennai Prof. Dr. M. Kavitha* Ms. Juby Thomas Research Scholar, Department of Commerce, VISTAS University, Pallavaram,Chennai The concept of Cognitive quotient and employee turnover in IT sector has attained significant attention in recent years. When the Cognitive quotient of an employee when falls negative it leads to employee turnover. The present study shows that Cognitive quotient has a direct effect on quality of work. Employees are able to express their emotion as they are already acquired emotional stability. The main objective of the study is to evaluate the contribution of CQ and efficiency of employees and to determine the relation between EI and employee turnover among the IT professionals. It states that there is a significant association between the Cognitive quotient and employee turnover among IT professionals. The management of every IT firm must identify the Cognitive quotient of their employees at the initial stage and take measures to over the drawback and provide orientation to control and stabilize Cognitive quotient among the employees. 03 30 2020 2736 2740 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7827.038620 https://www.ijrte.org/portfolio-item/F7827038620/ HOD/Department Of EEE, Vivekananda College Of Technology For Women, Tiruchengode, India. Dr. B. Gopinath* T. Gangothiri PG Scholar, M.E In Vivekananda College Of Engineering For Women (2018-2020),Completed B.E [Electrical And Electronics Engineering] In Vivekanandha College Of Engineering For Women, Tiruchengode. R. Archanadevi* EEE Department, Vivekananda College Of Technology For Women, Tiruchengode, India. S. S. Sharmila* EEE Department, Vivekananda College Of Technology For Women, Tiruchengode, India. C. Mothika* EEE Department, Vivekanandha College Of Technology For Women, Tiruchengode, India. Now a days water pollution is most dangerous thing that causes disease such as cholera, and other serious illnesses such as guinea worm disease, typhoid and dysentery etc., The water pollution cannot be controlled totally but it can be controlled partially. Our idea is based on controlling water pollution partially and also to safe the people from polluted water by using our idea. The main source for water pollution is releasing the hazardous chemicals from the industry directly mixed with the water content like river, lakes and ocean. Every industry releasing the chemicals in a normal way. Every time chemical industry releasing chemicals if they exceeding the permissible limit is a dangerous thing to our society. Our idea is to control the chemicals if they exceeding their limit. Industry releasing the chemicals in normal way if they exceeding the chemical level is released means the chip identified and it automatically closed the chemical closed door in a particular time. It give a indication to the industry to rectify the exceed level chemicals. If the company ignored the indication means the inside process is automatically collapsed. But some company releasing chemicals in abnormal way that’s also identified by using WINS. This idea is an innovative one and it will be implemented by us as soon as possible. 03 30 2020 3245 3249 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7839.038620 https://www.ijrte.org/portfolio-item/F7839038620/ Department of Mechanical, Parul Institute of Technology, Parul University, Limda, Vadodara, Gujarat, India Gohil Komal Snehal Trivedi Head of Department, Department of Mechanical, Parul Institute of Technology, Parul University, Limda, Vadodara, Gujarat, India Rakesh Prajapati Assistant professor, Department of Mechanical, Parul Institute of Technology, Parul University, Limda, Vadodara, Gujarat, India A fixture is design to hold, support and locate every component with accuracy. Fixture design is very important step for the setup-planning phase. The present work aims to get proper result with accurate connection of the fixture. In this work, two techniques are built for fixture analysis, give the comparison of structural results of full model, and reduce model with connection of RBE 2 and RBE 3. Design and analysis of fixture is done by using known softwares, inventor and hyperworks. 03 30 2020 3193 3197 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7856.038620 https://www.ijrte.org/portfolio-item/F7856038620/ PhD in Economics, Associate Professor, Head of Institute №5 “Engineering Economics and Humanities”, Moscow Aviation Institute (National Research University), Moscow, Russia. Sergey V. Novikov* Gennady V. Tikhonov PhD in Economics, Associate Professor, Moscow Aviation Institute (National Research University), Moscow, Russia. This article shows systematization of the adaptive strategic management principles, the connection among essential elements of enterprise management’s adaptive approach. A great place in the article is taken to possible approaches and methods of adaptive enterprise management in terms of crisis, due to which changes in the internal and external environment are seen, which can be both expected and random and make current operational decisions that contribute to the achievement of before made goals, based on the correction of certain tasks. The systematic approach to assessing the adaptation of industrial enterprises of small and medium-sized businesses to crisis conditions is investigated. The necessity of adapting enterprises of "small forms" of all sectors to the external environment to solve the strategic tasks of the country's economy as a whole, which must go through the reform stage and become a powerful lever to support and help large industrial enterprises, is substantiated. 03 30 2020 1616 1622 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7857.038620 https://www.ijrte.org/portfolio-item/F7857038620/ Research scholar, Department of ECE, Karpagam Academy of Higher Education, Coimbatore, India. Hridya S* Dr.S. Bhavani Professor, Department of ECE, Karpagam Academy of Higher Education, Coimbatore, India. G.R Mahendra Babu Assistant professor, Department of ECE Karpagam Academy of Higher Education, Coimbatore, India. Dr.K.G. Dharani Associate Professor Department of ECE Karpagam Academy of Higher Education, Coimbatore, India The 'Vedic Mathematics' is the name given to the ancient system of mathematics with a unique technique of calculations based on simple rules and principles with which any mathematical problem can be solved with the help of arithmetic, algebra, geometry or trigonometry. In any of the fastest ALU, multiplier play an inevitable role. There is always a demand on high speed multiplier due to the raising limitation on delay. Increasing the speed of a multiplier there are number of new techniques have been implemented in which multiplier using Vedic mathematics are foremost one. The system performance and delay depend on the performance of multiplier used in it. Multiplier are used in different area such as cryptography, image processing application, embedded system application, programmable filter application etc .One of the major techniques to scale back the power dissipation is Reversible logic. There is no loss of data therefore power dissipation is reduced producing distinctive output for fixed input and vice-versa. The main objective of the project is to scale back the TRLIC of the multiplier factor by exploitation of Vedic arithmetic.The proposed methods are designed using VHDL Programming language, simulation and synthesis are done using Cadence RTL compiler in 180nm technology. 03 30 2020 1530 1534 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7862.038620 https://www.ijrte.org/portfolio-item/F7862038620/ Professor of Management Information Systems, Faculty of Business, Mutah University / Jordan, School of Business, Skyline University College/ United Arab Emirates. Raid Moh’d Al-adaileh* Although the concepts of Learning Organization (LO) and Organizational Learning (OL) have been in use for about three decades, the realty of learning practices is still doubted. This study attempts to investigate the impact of some carefully selected organizational and managerial factors on the OL through the mediating role of IT infrastructure. The findings of this study revealed that management style as a managerial factor and strategic orientation as an organizational factor has a direct positive impact on OL. In addition, the results confirmed that IT infrastructure has mediating impact between managerial factors and OL. Accordingly, the study recommends that more open and flexible styles are needed to encourage OL. Additionally, prompting of OL requires a strategic actions and consideration 03 30 2020 2066 2071 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7864.038620 https://www.ijrte.org/portfolio-item/F7864038620/ is with the Al-Furat Al-Awsat Technical University, Technical College Al-Mussaib, Babylon, Iraq Hiyam Adil Habeeb Ahmed Esmael Mohan is with the Al-Furat Al-Awsat Technical University, Technical College Al-Mussaib, Babylon, Iraq Nor Ayu Mohamad Norani is with the Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia Mohd Azman Abdullah* is with the Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia Mohd Hanif Harun is with the Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia Functioning as a cooling system, a radiator is an essential component in reducing the temperature of an internal combustion engine (ICE) of a vehicle by absorbing the heat and dissipated it into the air. With good and effective radiator, the engine will perform at optimized condition. In this study, the performance of radiator was analyzed at different radiator materials and coolant concentrations. A spark ignition (SI) 1.5L engine radiator system was used at 20%, 30%, 40%, 50% and 60% ethylene glycol coolant concentrations. The simulation of heat transfer was performed on different fins material, aluminum, brass and copper using commercial available finite element analysis (FEA) software. Promising results showed that, copper fins was the best among the materials. It is also observed that the lower the coolant concentration, the better the performance of the radiator in reducing the ICE temperature. 03 30 2020 2664 2669 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7866.038620 https://www.ijrte.org/portfolio-item/F7866038620/ Department of Information Science and Engineering, Jyothy Institute of Technology Kalpitha N S Murali Department of Computer Science and Engineering, Maharaja Institute of Technology In this proposed work, we presented a system to classify the object. Firstly, the given images are segmented using Region merging Segmentation method. Later the background eliminated images are divided into number of blocks viz., 4, 16, 32. The features like Scale Invariant Feature Transform (SIFT) and Histogram of Gradients (HOG) are extracted from divided blocks of size 4, 16, 32. To measure the strength of proposed method we compare the Classification vs Retrieval using Support Vector Machine and KD Tree. We conducted the experimentation on Caltech 101 data set. To study the effect of accuracy in classification we pick images from database randomly. The Performance revels that the SVM achieves good performance. 03 30 2020 1717 1731 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7868.038620 https://www.ijrte.org/portfolio-item/F7868038620/ Associate Professor, Mittal School of Business, Lovely Professional University, Phagwara, Punjab, India Dr. Preeti Mehra Dr. Balpreet Kaur Associate Professor, Department of Management Studies and Commerce, DIPS Institute of Management and Technology, Jalandhar, Punjab, India. In the present study, an attempt was made to identify the core keywords through text mining and also to find out whether the core keywords are imperative for presence of gesture control technology in retail stores. First, we collected online reviews of respondents (customers) and unearthed core keywords from it by using method of text mining. And then text clustering analysis was applied to investigate the importance of the extracted core keywords. After that, empirical test was conducted for exhibiting the influence of core keywords through examination of the significance of a retail store’s adoption of gesture control and other technologies. R programming software was employed for the analysis of the same. It was concluded that the customers consider ‘Gesture Technology’ assisted activities as being ‘Fun’ and ‘Fulfilling’. On the other hand, the consumers believe these technologies can also be used to create a ‘Social Bond’. 03 30 2020 2446 2449 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7875.038620 https://www.ijrte.org/portfolio-item/F7875038620/ Associate Professor, Department of CSE, S J M Institute of Technology, Chitradurga, India. Affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India. Gururaj T. Vishrutha Y. M. Under Graduate Students, B.E., Department of CSE, S J M Institute of Technology, Chitradurga, India. Affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India. Uma M. Under Graduate Students, B.E., Department of CSE, S J M Institute of Technology, Chitradurga, India. Affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India. Rajeshwari D. Under Graduate Students, B.E., Department of CSE, S J M Institute of Technology, Chitradurga, India. Affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India. Ramya B. K. Under Graduate Students, B.E., Department of CSE, S J M Institute of Technology, Chitradurga, India. Affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India. As huge amount of data accumulating currently, Challenges to draw out the required amount of data from available information is needed. Machine learning contributes to various fields. The fast-growing population caused the evolution of a wide range of diseases. This intern resulted in the need for the machine learning model that uses the patient's datasets. From different sources of datasets analysis, cancer is the most hazardous disease, it may cause the death of the forbearer. The outcome of the conducted surveys states cancer can be nearly cured in the initial stages and it may also cause the death of an affected person in later stages. One of the major types of cancer is lung cancer. It highly depends on the past data which requires detection in early stages. The recommended work is based on the machine learning algorithm for grouping the individual details into categories to predict whether they are going to expose to cancer in the early stage itself. Random forest algorithm is implemented, it results in more efficiency of 97% compare to KNN and Naive Bayes. Further, the KNN algorithm doesn't learn anything from training data but uses it for classification. Naive Bayes results in the inaccuracy of prediction. The proposed system is for predicting the chances of lung cancer by displaying three levels namely low, medium, and high. Thus, mortality rates can be reduced significantly. 03 30 2020 1623 1630 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7879.038620 https://www.ijrte.org/portfolio-item/F7879038620/ Lecturer, (Integrated MCA , UTAL UNIVARSITY) Aliva Priyadarshini One of the most commonly used technology with massive demands in the field of distributed computing is cloud computing. Cloud computing has evolved in various forms like single cloud, hybrid cloud and multi-cloud. The evolution of cloud to handle hundred and thousands of user demands, at a time, thereby facilitating resource sharing, reduction in loss of information, elimination of data storage on server side and many many more the topic of task scheduling will be prominent in all forms of cloud computing and in distributed architecture. Here, we discuss the multiple cloud architecture and the scheduling techniques applied to evenly distribute the workload across multiple clouds. Algorithms like Cloud list Scheduling (CLS), Cloud min min scheduling (CMMS), Minimum completion cloud (MCC), Median max algorithm (MEMAX), Multi-objective scheduling (MOS) are some methods suggested in the past for finding a near to optimal solution for task allocation. 03 30 2020 4530 4533 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7882.038620 https://www.ijrte.org/portfolio-item/F7882038620/ Indian National Center for Ocean Information Services (INCOIS), Hyderabad, India. N. Srinivasa Rao Sambasiva Rao Baragada* Department of Computer Science, Government Degree College, Narayanguda, Hyderabad, India. Nayana N Department of Applied Mechanics and Hydraulics, National Institute of Technology, Karnataka. India G. Geetha Indian National Center for Ocean Information Services (INCOIS), Hyderabad, India. Due to advances in space technology, certain satellite sensors have unique power of capturing data and also generate special kind of observations. The Day and Night Visible Bands (DNB) of VIIRS Sensor mounted on Suomi NPP Satellite provide useful information in real-time monitoring of restoration of electrification after the trigger of a tropical cyclone. Since the destruction ca used by a tropical cyclone is severe, therefore, both restoration and its monitoring play a vital role for law enforcement agencies. This paper presents a novel method to monitor electricity restoration spatially using image processing with VIIRS DNB data. The proposed method is experimented with the cyclone Fani hit Orissa coast during April-May 2019. To conclude, the work accurately determines the spatial analysis of electrification restoration after a tropical cyclone landfall is occurred 03 30 2020 1826 1829 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7886.038620 https://www.ijrte.org/portfolio-item/F7886038620/ M.Tech Tutor, eography unit, school of Basic and Remedial Studies, Gombe State University, Gombe, Gombe State, Nigeria. Ishiyaku Abdulkadir J. Satish Kumar M.Tech, Ph.D. Associate Professor Department of Civil Engineering, SRM institute Science and Technology, Chennai India. Land Degradation is a complex field of study because it’s characterized by participation of climatic, ecological, geographical, and social fields of study. It pointed at long-term decline of natural productiveness of land from the processes of climatic variations and unsustainable man-environment relationship. It’s therefore vital to monitor this phenomenon to inform decision making in providing mitigation measures to ensure sustainable land use. It’s in that regard, that this paper aim to assess the implementation of SDG target 15.3, to determine the extent of degraded area in Gombe State for the period of 2001-2015. The research was conducted in Trends.Earth tool where ESA-CCI land cover, AVHRR/MODIS, and soil grid datasets were used for separate change detection analysis of land cover, land productivity and soil organic carbon Stock respectively. The information from the three sub-indicators were combined and derived the degraded land area. The result appears that the extent of degraded land occupied 12,952.3 sq.km traced to about 72.2% of the state land area. Areas with stable condition account for 4,180.4 sq.km equivalent to 23.3% of the state area. The extent of land areas with improved conditions covered 780.9 sq.km and 4.4% of the state land area. The paper recommend nature-based solutions to reverse and restore part of the degraded land for better ecosystem services. 03 30 2020 2409 2413 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7888.038620 https://www.ijrte.org/portfolio-item/F7888038620/ Computer Science Department, Binus Graduate Program – Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia Tommy Willianto Supryadi Computer Science Department, Binus Graduate Program – Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia Antoni Wibowo Computer Science Department, Binus Graduate Program – Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia E-commerce is a website or mobile application platform that help people to buy products. Before purchasing the product, customer will decide to buy it or not by reading the review from previous buyer. There is a problem that there are a lot of review so it will take a long time for customer to read it all. This research will be using sentiment analysis method to classify the review data. Sentiment analysis or opinion mining is a machine learning approach to classify and analyse texts or documents about human’s sentiments, emotions, and opinions. In this research, sentiment analysis was used to classify product reviews from e-commerce websites into positive or negative classes. The results could be processed further and be used to summarize customers' opinions about a certain product without reading every single review. The goal of this research is to optimize classification performance by using feature selection technique. Terms Frequency-Inverse Document Frequency (TF-IDF) feature extraction, Backward Elimination feature selection, and five different classifiers (Naïve Bayes, Support Vector Machine, K-Nearest Neighbour, Decision Tree, Random Forest) were used in analysing the sentiment of the reviews. In this research, the dataset used are Indonesian language and classified into two classes(positive and negative). The best accuracy is achieved by using TF-IDF, Backward Elimination and Support Vector Machine (SVM) with a score of 85.97%, which increases by 7.91% if compared to the process without feature selection. Based on the results, Backward Elimination feature selection succeeded in improving all performance for all classifiers used in this research. 03 30 2020 2862 2867 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7889.038620 https://www.ijrte.org/portfolio-item/F7889038620/ Pursuing, Bachelor of Engineering in Computer Science at Vidyavardhaka College of Engineering, Mysuru. Kartikeya P Malimath* Ravikumar HS Pursuing Bachelor of Engineering in Computer Science at Vidyavardhaka College of Engineering, Mysuru. Chethan M Pursuing Bachelor of Engineering in Computer Science at Vidyavardhaka College of Engineering, Mysuru. Divya C D Assistant professor in the department of computer science and engineering, vidyavardhaka College of engineering, Mysuru Soumaya L G Joshi Pursuing Bachelor of Engineering in Computer Science at Vidyavardhaka College of Engineering, Mysuru. Provision of home security services has become an integral part of our lives in today’s technological society where attackers usually have all the necessary means and resources at their disposal. Face Recognition is producing gigantic enthusiasm because of government worries about character the executives and worldwide fear based oppressor movement. One aspiration of Intelligent CCTV is to help counteract fear based oppression and a key innovation is solid face acknowledgment. The movement discovery module is dependable to decide the degree of action while the face identification module separates between approved individuals and interlopers. Our system is better than many proposed systems as it combines both motion detection and face recognition in a single system. Our framework has three noteworthy segments containing: 1) a Viola-Jones face discovery module 2) a Pose Normalization Module to evaluate facial posture and make up for extraordinary posture points 3) Adaptive Principal Component Analysis to perceive the standardized appearances. 03 30 2020 1830 1834 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7891.038620 https://www.ijrte.org/portfolio-item/F7891038620/ Pursuing M. Tech, Department of Biotechnology, Karunya Institute of Technology and Sciences, Coimbatore - Tamil Nadu, India. Neena Elsa Eapen Md Afroz Alam* Assistant Professor, Department of Biotechnology, School of Agriculture and Biosciences, Karunya Institute of Technology and Sciences, Coimbatore – 641114, Tamil Nadu, India. Sulforaphane (SFN) is a biologically active compound-based drug obtained from cruciferous vegetables, which has been investigated for its anti-tumor and chemopreventive effects. SFN shows a potential mechanism of its anti-cancer activity by binding to Macrophage Migration Inhibitory Factor (MIF) which is a pleiotropic cytokine that overexpresses in cancer cells increasing the aggressiveness of the disease. SFN can significantly inhibit the action of MIF on angiogenesis and the prevention of apoptosis in cancer cells. Preclinical studies on the anti-cancer activity of SFN showed promising results but in clinical studies, it is not yet convincing. Screening of a set of compounds chemically related to SFN can have a chance of showing promising anticancer activity. The quantitative structure activity relationship (QSAR) based on quantum mechanics has been done to derive the best mathematical model of these selected derivatives of sulforaphane for the calculation of its biological activity. These sulforaphane derivatives have been evaluated with respect to their ADMET and physicochemical properties. Validation was done to indicate the predictiveness of the model. The significant R2 value of 0.5676 between experimental and predicted biological activity and R2cv value of 0.554 depicts a decent statistical fit of the model. A best QSAR model has been selected which has a future scope of helping in designing anti-cancerous drugs. 03 30 2020 1631 1636 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7894.038620 https://www.ijrte.org/portfolio-item/F7894038620/ Department of Mathematics M. L. V. Govt. PG College, Bhilwara, Rajasthan, India. Radhe Shyam Prajapat Indu Bala Bapna Department of Mathematics M. L. V. Govt. PG College, Bhilwara, Rajasthan, India. In this paper we will introduce some probability distributions with help of some special functions like Gamma, k- Gamma functions, Beta, k-Beta functions, Bessel, modified Bessel functions and Laguerre polynomials and in mathematical analysis used Laplace transform. We will also obtain their cumulative density function, expected value, variance, Moment generating function and Characteristic function. Some characteristics and real life applications will be computed in tabulated for these distributions 03 30 2020 1902 1908 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7899.038620 https://www.ijrte.org/portfolio-item/F7899038620/ Research Scholar, Department of Management Studies, School of Sciences Arts, Media and Management, Karunya Institute of technology and Sciences, Coimbatore G. Vikram* Dr. F.J. Peter Kumar BSc, Associate Professor of Department of Management studies, Karunya Institute of technology and Sciences Coimbatore. The social media reviews are a source of customer experiences based on Product usage (the best and the worst) with details. This vast user generated content of product reviews are a source to derive meaningful insights. The existing literature review concludes that user generated content from social sites appeal and when innovative solutions applied help product initiatives effectively. This research focus on the use of online social feedback including reviews and opinions for product initiatives especially on consumer items like apparels, kitchen appliances, home appliances and electronic products and its supported services. This helps product teams understand the potential available for product enhancements and quality improvements through customer experiences, which help brands to differentiate amongst competitors, dynamic environmental forces, global purchase power, etc. The study identified industries using sampling techniques and respondents were from product development teams where social feedback like reviews, opinions and suggestions are valued and analyzed to address product users. The instrument-based responses were analyzed using SPSS to support the study objectives. The findings from the analysis reveal that the social comments add significant value by contributing to product initiatives and product quality improvements. Additionally, based on consumer experiences, add value to service quality improvements, which enables for competitive advantage. 03 30 2020 2450 2454 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7900.038620 https://www.ijrte.org/portfolio-item/F7900038620/ Research Scholar, Department of Statistics, Periyar University,Salem–636011, TN, India. K. Gnanapriya* S. Kavitha Assistant Professor, Department of Statistics, Periyar University, Salem –636011, TN, India. M. Pachamuthu Assistant Professor, Department of Statistics, Periyar University, Salem –636011, TN, India. The Balanced Incomplete Block Designs (BIBD) plays a major role in the design of experiments, particularly in agricultural experiments. In an intra-block analysis of BIBD, the practical situations are not measurable the exact observations due to a shortage of experimental apparatus or facilities and the physical size of the block. In such circumstances, the analyses of fuzzy observations are used. In this research work, a statistical analysis of BIBD with intra-block analysis through   cut interval method of trapezoidal fuzzy observations is taken for study. A numerical example is provided by the primary data to show the preciseness of the yield of cotton crop seeds. 03 30 2020 1739 1747 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7903.038620 https://www.ijrte.org/portfolio-item/F7903038620/ M.com., Department of Finance and Systems, Amrita School of Arts and Science, Kochi, Kerala, India. Parvathy Asokan Girish S. Assistant Professor, Department of Commerce and Management , Amrita School of Arts and Science ,Kochi, Kerala, India. In India transportation is a vital infrastructure and assumes wider in developing countries since all the sectors of the event area unit closely dependent upon the existence of acceptable transportation modes. The study is being conducted in Aluva town. Supply knowledge of information is adopted on primary data assortment among one hundred respondents. Aluva junction is regarded as the nerve centre which connects the highland districts to the rest of the state. And it is the railway station which has a higher rate of passengers round the clock. Overall study deals concerning the level of satisfaction of passengers in the basic, modern and outstation amenities offered by Indian railways. The study also points on the insights to develop and improve the standard of services to satisfy travelers to travel by train. The study mainly focuses on the association between the demographic factors and the level of satisfaction of passengers. 03 30 2020 2290 2293 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7907.038620 https://www.ijrte.org/portfolio-item/F7907038620/ School of Computing, Graphic Era Hill University, Dehradun, India. Amit Juyal* Chetan Pandey School of Computing, Graphic Era Hill University, Dehradun, India. Janmejay Pant Dept. of Computer Science, Graphic Era Hill University, Bhimtal, India., Dr. Ankur Dumka Dept. of CSE, Graphic Era Deemed to be University, Dehradun, India Vikas Tomer Dept. of CSE, Graphic Era Deemed to be University, Dehradun, India. Machine learning (ML) algorithms are designed to perform prediction based on features. With the help of machine learning, system can automatically learn and improve by experience. Machine learning comes under Artificial intelligence. Machine learning is broadly categorized in two types: supervised and unsupervised. Supervised ML performs classification and unsupervised is for clustering. In present scenario, machine learning is used in various areas. It can be used for biometric recognition, hand writing recognition, medical diagnosis etc. In medical field, machine learning plays an important role in identifying diseases based on patient’s features. Presently, doctors use software application based on machine learning algorithm in various disease diagnosis like cancer, cardiac arrest and many more. In this paper we used an ensemble learning method to predict heart problem. Our study described the performance of ML algorithms by comparing various evaluating parameters such as F-measure, Recall, ROC, precision and accuracy. The study done with various combination ML classifiers such as, Decision Tree (DT), Naïve Bayes (NB), Support Vector Machine (SVM), Random Forest (RF) algorithm to predict heart problem. The result showed that by combining two ML algorithm, DT with NB, 81.1% accuracy was achieved. Simultaneously, the models like Support Vector machine (SVM), Decision tree, Naïve Bayes, Random Forest models were also trained and tested individually. 03 30 2020 1637 1642 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7908.038620 https://www.ijrte.org/portfolio-item/F7908038620/ pursuing Master Of Computer Application, Vellore Instiute Of Technology,Vellore. R. Praveen* Prof Benjula Anbu Malar M.B, Assistant professor, Vellore Instiute Of Technology, Vellore Emotion recognition system place the important role in many fields, particularly image processing, medical science, machine learning. As per human needs, the effect and potential use of programmed emotion recognition have been developing in a wide scope of utilizations, including human-PC communication, robot control and driver state observation. In any case, to date, vigorous acknowledgment of outward appearances from pictures and recordings is yet a testing errand because of the trouble in precisely extricating the helpful passionate highlights. These highlights are regularly spoken to in various structures, for example, static, dynamic, point-based geometric or area based appearance. Facial development highlights, which incorporate component position and shape changes, are by and large brought about by the developments of facial components and muscles on the face of enthusiastic manner. Emotion recognition system has many applications. and it plays a vital part in fault detection and in gaming application. In this project the emotion recognition is of dynamic way and not like uploading the image and finding the emotion. And this is achieved with the help of the concept of machine learning called Convolutional Neural Network. This is one of the most familiar deep learning concept. The main moto of using this concept is to maintain accuracy. The CNN consists of many intermediate state which plays the important role in producing the accurate output. The layers of CNN are input layer, hidden layer and output layer. The hidden layer is used to update weight, bias and activation function. If we use the CNN methodology the unwanted parts which is un necessary for the emotion recognition will be eliminated accurately. The CNN helps to reduce our elimination task in easier way and with minimal steps. 03 30 2020 1748 1765 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7921.038620 https://www.ijrte.org/portfolio-item/F7921038620/ Associate Professor at Indira School of Business Studies, Pune. Dr Komal Singh* Banking in India is transforming itself towards digital way of doing it. Electronic banking has spread its roots with invent of computers and ATMs back in 1970’s. Banks are using these electronic ways to offer a vast range of its products and services. These developments in the banking sphere has led the creation of new business models for banks and non-banking financial corporations like internet service providers and other firms operating in technological area. This paper focuses on the digital transformation of AXIS bank with respect to various characteristics of their digital banking products and services, as compared to its competitor and the growth and awareness of the customers of AXIS bank in relation to its digital products. The data is collected through a questionnaire for this purpose and analysed through using various statistical tools. 03 30 2020 2414 2417 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7924.038620 https://www.ijrte.org/portfolio-item/F7924038620/ Lecture of Entrepreneurship Departement, Binus Business School Under Graduate Program, Bandung, West Java, Indonesia, Idi Jahidi Leadership as a leader factor can influence in moving employees to achieve organizational goals. In this study examines the problem of how the characteristics of transformational leadership and the extent of its impact can foster employee commitment to achieve organizational goals. By using qualitative research methods, it is expected to be able to discuss issues that are examined more broadly and in depth. Based on the research method, it can be explained that the transformational leadership characteristics of the Regional Head of Cimahi City, West Java, Indonesia through ideal influence, inspirational motivation, intellectual stimulation, and individual consideration can foster employee work commitment in achieving organizational goals. The Cimahi Regional Head in his transformational leadership is able to correlate and integrate transformational leadership characteristics (ideal influence, inspirational motivation, intellectual stimulation, and individual consideration). The regional head can build and grow the work commitment of subordinates, even exceeding what is expected, which has innovation and creativity in achieving organizational goals. 03 30 2020 1643 1648 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7925.038620 https://www.ijrte.org/portfolio-item/F7925038620/ Research Scholar, Banasthali University, Jaipur, India. Mukund Jakhiya Bhawna Gaur Department of Management, and Commerce, Amity University, Dubai, UAE. Raeesa Bashir Department of Management, and Commerce, Amity University, Dubai, U.A.E The Mobile payment revolution has led to 55% increase in digital payments in India in the past one year. Currently there are 10 million locations that accept digital payments in the country. Though, internet connectivity, digital literacy and perceptual gaps in generations have proved to be the major hurdles for service providers to capture the full market potential for digital payments. This study holistically approaches the topic by critically analyzing the data collected from different strata based on age groups. It was observed that all the generations are readily adopting digital payments whereas there is still a perceptual gap that exist in the regular usage of mobile payments among the elderly and the young generations. Data analysis also reveals that mobile payments are mostly used for the low value purchase by the customers in comparison to the high value purchase as there is high risk and high channel cost associated with mobile transactions and also government regulations do not support very high value transactions. Another trend observed was Impulsive purchase behavior in customers (especially millennial) using mobile payments as these purchases are unplanned, unintentional and unthoughtful. These facts can be used as an input by the Government departments and the financial service providers to design strategies to bring convenience in the adoption and usage of digital transactions, to bridge the gap in the adoption of digital payments between young and old generations. 03 30 2020 3651 3655 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7926.038620 https://www.ijrte.org/portfolio-item/F7926038620/ Associate Professor, Department of Management studies, Audisankara College of Engineering & Technology, Gudur, Andhra Pradesh, India Dr. A. M. Mahaboob Basha* Mr. B. Ankaiah Research Scholar, Department of Business Management, Yogi Vemana University, Kadapa, Andhra Pradesh, India. Mrs. J. Srivani Associate Professor, Department of Management Studies, Audisankara College of Engineering & Technology, Gudur, Andhra Pradesh, India. Mr. U. Dadakalandar Research Scholar, Department of Tourism Management, Vikrama Simhapuri University, Nellore, Andhra Pradesh, India. The aim of the study is to identify the association between human resource development practices with respect to quality of work life. The researcher has taken various factors like: performance appraisal, training and development, coaching and counseling and career planning and development. The study is concerned to all levels of management in APSRTC-NELLORE zone. The survey method is applied to procure the data from various responses. Identified various factors which will impact on work life of employees. The total 546 respondents were collected from various categories of employees in the organization. A Conceptual model has been developed which explains quality of work life of an employee. The outcome of the research explores about what are the various human resource development factors which impact on individual work life of employees. 03 30 2020 1649 1653 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7929.038620 https://www.ijrte.org/portfolio-item/F7929038620/ Department of business economics and human management, Faculty of Economics, Chernivtsi National University, Chernivtsi, Ukraine. Vodianka Liubov* Kozak Vira Department of business economics and human management, Faculty of Economics, Chernivtsi National University, Chernivtsi, Ukraine. Skulyak Valentyna Department of Finance, Bukovinian University, Chernivtsi, Ukraine Peculiarities of regional processes of foreign direct investment impact on the gross domestic product of Western Ukraine and Chernivtsi region, taking into account a time lag, are reviewed in this article. Considering the fact that investment processes are enough complicated phenomenon to understand in the course of which different kinds of changes occur, the relevance and importance of establishing a pattern of their behavior is increasing. Economical and mathematical tools, in particular Almon distributed lag models which allow to estimate the discrete lag influence of determinants can be used to achieve this. In the course of the study, the Almon distributed lag models were constructed separately for the comparison, time lag interval boundaries were set, the main features of the discrete time lag distribution during the lag period were determined, and the economic and mathematical models of the distributed lag for the effects of foreign direct investment on the gross regional product of Chernivtsi region Western Ukraine were built. On the basis of the obtained results, conclusions about economic multiplier processes of the investment were made in the context of individual territories and the main trends of the investment flow return were defined. 03 30 2020 1835 1839 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7931.038620 https://www.ijrte.org/portfolio-item/F7931038620/ Faculty, Amity School of Planning & Architecture, Amity University, Dubai. Banafsha Quadri Rajput* Amna Rafi Chaudhry Faculty, Amity School of Planning & Architecture, Amity University, Dubai. Sonakshi Ruhela Assistant Professor, Amity University, Dubai Wireless communication in building application and design currently act as two separate platforms of communication for inhabitants. Users utilize information sent and received through wireless technology unaffected by the space they are residing. As a means of data exchange and transfer objective information this method of communication serves its expected purpose. On the contrary in the case of personal communication, the surrounding space becomes an insignificant contributor. Also in a situation of wireless system failure the built space does not act as back-up support to all running functions. This paper questions the extensive reviews and is based on focus expert interviews (Qualitative methods) on building designs with specific objectives i.e. a) To allow building design to act as a backup for effective communication in case of wireless system failure b) To assess the building design for enhanced communication. For the purpose of data collection ten expert Architects were called for a focused group interview. The themes and sub themes from the focused group interview were assessed through thematic analysis and the results are discussed below in section VI. 03 30 2020 3656 3661 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7932.038620 https://www.ijrte.org/portfolio-item/F7932038620/ Professor in Trinity Institute of Professional Studies, Dwarka. Dr. Baljeet Singh Nayyar* Dr. Gaurav Jindal Associate Professor in Trinity Institute of Professional Studies Dwarka. Across the globe, Arrangements to pull in Foreign Direct Investment (FDI) have gotten standard, regardless of their degree of advancement, modern arrangement or area. The essential strategy question would i say i is: What ought to be done so as to draw in internal FDI? The response to this inquiry spins around with respect to which approach factors can be utilized to draw in FDI. An arrangement variable is characterized as a determinant of FDI which can be legitimately impacted by governments ("approach producers") in the present moment just as in long haul. A proficient and successful venture advancement program can pull in particular kinds of financial specialists to a nation at a cost that is essentially not exactly the estimation of the immediate advantages the nation gets from the speculation. Further, it is critical to think about what makes up a powerful venture advancement program. 03 30 2020 2418 2422 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7936.038620 https://www.ijrte.org/portfolio-item/F7936038620/ M. Tech. (CAD/CAM), Bharati Vidyapeeth (Deemed to be University), Pune, India. Nishant Neve* Vijay Kurkute Professor, Bharati Vidyapeeth (Deemed to be University), Pune, India. Objective to checked four-wheeler transmission or differential assembly. To reduce or minimize the differential assembly end play, for that we must calculate gap and put standard shim at the end of shaft while assembly. For that requirement of customer to give customized gauging system which gives precise measurement, Effort less, easy process, Time saving and productivity improvement. The require system in three stages to distance B, distance A and Gap between both distance. Therefore, the work on design and customized gauging system for shim selection method through design calculation and finite element analysis. The system will fully reliable and strong with the help of Finite element analysis of multi- gauging system for future aspect. As study of system Main Locator and Moving plate have more load and forces while gauging condition. For that we study the design and complete FEA analysis. Also, to ensure the reliability of the differential measurement system, the researcher was required to verify the precision and accuracy of the measurement system by repeatability trials. In the differential housing bearing to bearing distance measurement and inspection procedure, operator and the indirect gauging mechanism are the two key elements. 03 30 2020 3250 3254 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7937.038620 https://www.ijrte.org/portfolio-item/F7937038620/ Assistant Professor, Swami Keshvanand Institute of Technology, Management and Gramothan, Jaipur (SKIT College), Ram Nagariya Rd, Shivam Nagar, Jagatpura, Jaipur, Rajasthan. Priyanka Payal* Dr. Poonam Assistant Professor,Department of BADM, University of Rajasthan, Jaipur Rajasthan is the largest state of India in terms of area and it covers about 10.4% of the total area of India but only 1.04% of the water resources, hence there is lack of water resources for 70% of the state's agricultural economy. The uncertainty of the monsoon creates problems of employment and irregularity along with hindering the development of agriculture. Such problems have revealed an important requirement of irrigation in the state. The paper will explain about the main sources, needs and importance of irrigation in Rajasthan. The study also focuses on the area irrigated by irrigation resources in Rajasthan. Main irrigation projects of Rajasthan like interstate multipurpose river valley projects of Rajasthan, major irrigation projects of Rajasthan, medium projects of Rajasthan, minor irrigation projects of Rajasthan are explained properly with facts and figures in the study. The paper also highlights the development of irrigation during plans and its progress in gross irrigated area in Rajasthan. Allocation of expenses of public sector irrigation and flood control under the five-year plans in Rajasthan were part of the study. In the last paper ended explaining about the barriers to irrigation development, suggestions and conclusion. Financial difficulty, rising cost of irrigation projects, problem of full utilization of irrigation potential, reservoir problems, inter-State disputes, problem of environmental protection, corruption, red tape and political partisanship, unnecessary delay are the various problems faced by the farmers. To overcome these problem suggestions given like government should focus on mobilizing more resources, seek foreign cooperation, control over corruption, careful use of water and proper drainage system, disputes should be settled quickly and without political pressure, timely completion of projects, etc. 03 30 2020 2430 2435 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7938.038620 https://www.ijrte.org/portfolio-item/F7938038620/ Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. G. Ashwinraj* Sitaraa Krishna Kumar Student, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Devansh Sharma Student, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Mrs. C. Ambhika Assistant Professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. With the fast improvement of web applications, and with the solace gave by these web applications, web clients’ use this advantages, as it were, that they make practically the entirety of their everyday exercises, for example, newspaper reading, shopping, bill payment, ticket booking and entertainment with the assistance of the web. This wonder powers the clients of the web to get associated with the web for a drawn-out time and consequently it builds the odds of the clients to get trapped in the snare of phishing – an assault made by programmers to take delicate data by enticing the clients with rewarding offers at first and afterward diverting them to a fake website(which the client may not presume) where they can mislead the client by requesting that they present their credentials(usually clients present their credentials without realizing that these are phony offers made with a sole aim of taking delicate data ). Notwithstanding the caution and mindfulness given by the web community right now, and more phishing craftsman prevail in their attack. Likewise, these phishing craftsmen create novel attacks, for example, tab grabbing, site mirroring and so forth that draws in increasingly more web clients to be trapped in the snare of phishing. Anyway, numerous tools and methodologies have been created to forestall phishing and to caution clients orally and outwardly. Still, the achievement paces of the phishing attack stay high and furthermore the methodologies identified with phishing detection endures high false negative and false positive proportion. In this proposed system numerous mechanisms used to prevent phishing have been analyzed and a proficient system has been proposed to forestall phishing. 03 30 2020 2294 2297 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7939.038620 https://www.ijrte.org/portfolio-item/F7939038620/ Civil Engineering department, Sankalchand Patel University, Visnagar, India. Mr Aakash Rajesh Kumar Suthar* Dr Y S Patel Civil Engineering department, Sankalchand Patel University, Visnagar, India. Urbanization in recent day has more impact on usage on usage of land for different purposes. Underground soil has the possibility to collapse due to its varying characteristics and can cause problems in underground construction. Diaphragm wall is a perfect solution for this problem as it provides support to collapsible soil and also it can help in constructing the underground structures like subway, parking etc. But diaphragm wall can also undergo deflection caused by various reason like seismic effect, constraints due to site condition, soil condition, construction technique. Analysis were done on diaphragm wall under critical condition in terms of soil characteristics, loading and construction technique and has been analyzed using finite element analysis software and other numerical software. Here review work has done regarding research work of some authors who has worked on are deflection of diaphragm wall due to variety of reason. 03 30 2020 3255 3261 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7942.038620 https://www.ijrte.org/portfolio-item/F7942038620/ Professor (CSE) & Principal, Sri Sairam College of Engineering, Anekal, Bengaluru, Karnataka,India – 562106Affiliated to Visvesvaraya Technological University, Belagaum. Dr. B. Shadaksharappa Prabhudeva V Enterprise Architect & Consultant, Tata Consultancy Services, Victor Building,ITPL, Bengaluru,Karnataka,India The Internet of Things (IoT) is an emerging field where physical objects are connected over the network, by the way, to make human life easy and more comfortable. The IoT environment is involved with various devices and those are working together to attain a common goal. The enhanced technology of IoT enables the military environment to work on it. Typically, most of the IoT devices are restricted in terms of their storage, process, compute and network capability. Hence, those devices are easy to attack and compromise. Compromised devices become behave as blackhole attacks. To assure the proper network function, we are in the situation to overcome those types of attacks. As trust plays a vital role in decision making, in this paper we proposed a Multi-attribute Trust-based Authentication mechanism (MTA). The ultimate aim of this model is to ensure authentication among the participating devices by identifying black hole nodes in the network. This multi-attribute trust calculation approach provides a maximum effort to evaluating the trustworthiness of devices. The simulation results show the applicability of the proposed model in terms of various performance metrics. 03 30 2020 2459 2465 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7953.038620 https://www.ijrte.org/portfolio-item/F7953038620/ Faculty of Science and Natural Resources (FSNR), Universiti Malaysia Sabah, 88400 Kota Kinabalu, Sabah, Malaysia. Floressy Juhim Fuei Pien Chee* Faculty of Science and Natural Resources (FSNR), Universiti Malaysia Sabah, 88400 Kota Kinabalu, Sabah, Malaysia. Abu Bakar Abd Rahman Faculty of Science and Natural Resources (FSNR), Universiti Malaysia Sabah, 88400 Kota Kinabalu, Sabah, Malaysia. Abdullah Bade Mathematics, Graphics and Visualization Research Group (M-GRAVS), Faculty of Science and Natural Resources (FSNR), Universiti Malaysia Sabah, 88400 Kota Kinabalu, Sabah, Malaysia Human blood specimen contains information about health and possible diseases that help the physician identifying the appropriate medical diagnosis. Venepuncture and intravenous cannulation are among the most common medical procedures that were performing on patients. However, there is difficulty to find the visualization of vein structures. The use of infrared radiation will be the right preference since it can penetrate the tissue and a non-invasive method. Many studies have focused on the characteristics of NIR on human skin, but the effects of exposure time as one of the design parameter in NIR exposure was not discovered. This research proposes studies that ease the handling operation and minimize the operating cost of NIR imaging in visualizing vein-structure. The study aims to measure and compare the effect of exposure time of the near infrared light emitting diodes on the vein visualization. The working principle is started with the haemoglobin in the blood absorbs the infrared light, so the vein appears darker than other areas. Then, a detection system consists of an infrared camera to capture the vein digital images. This study will then process the overall quality of the images with different exposure time by highlighting the vein-morphological structure using hessian and contrast method. The results revealed that increasing time of exposure does not increase the absorption of the NIR in both palm and arm area. Image processing further confirms this result by showing the extracted and highlighted vein. For all images, the numbers of vein appeared are the most significant factors that contribute to the vein visualization. This study can add to the process of developing a vein visualization system. 03 30 2020 2072 2075 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7955.038620 https://www.ijrte.org/portfolio-item/F7955038620/ Department of Mechanical Engineering, Kongu Engineering College, Erode, India. Mr. S. Dhamotharan* Dr. S. Selvakumar* Department of Mechanical Engineering, Kongu Engineering College, Erode, India. Mr. K. Kathirvel Department of Mechanical Engineering, Kongu Engineering College, Erode, India. Mr. M. Sivaraman Department of Mechanical Engineering, Kongu Engineering College, Erode, India. Mr. G. Bharath Department of Mechanical Engineering, Kongu Engineering College, Erode, India. Internal combustion engine powered vehicles are widely used all around the world for mobility. Scooter is the most commonly used two-wheeler by people of all age groups due to its easy handling and riding comfort. Due to gearless transmission, the mileage of scooter is low compared to gear transmission bikes. Nowadays increase in petrol price makes the mileage as the most important factor for internal combustion engines. Using lean air-fuel mixture for combustion in a engine increases the mileage as well as reduces the pollution. The air-fuel ratio is said to be lean when the ratio of air-fuel is greater than 15:1, the stoichiometric ratio of air-fuel is 14.7:1. In this Study, the clearance between the piston and cylinder of a 125cc engine is reduced from 0.5mm to 0.25mm to run in lean air-fuel mixture. The lean fuel-air mixture is achieved by supplying extra air into the engine by making an additional hole in the carburetor outlet and the air is supplied through it. The excess air is supplied to the engine after the vehicle reaches above 40 kilometer per hour. The extra air supply is controlled by an solenoid valve which is actuated by an electronic circuit. The lean mixture usage increases the engine temperature more than usual and it is controlled by using synthetic engine oil. The result shows increase in mileage from 40 - 45 kilometer per litre to 50 - 60 kilometer per litre and reduction in the emission of Carbon monoxide (CO) and Hydrocarbon (HC). Thus an overall increase in mileage is about 15 - 20% from existing vehicle but emission of Nitrogen Oxides (NOX) is slightly higher than usual. Combustion of lean air-fuel mixture produces less torque hence it cannot be used to move the vehicle from rest position, so lean mixture must be supplied to the engine after the vehicle reaches certain speed. 03 30 2020 2076 2080 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7957.038620 https://www.ijrte.org/portfolio-item/F7957038620/ Swami Vivekanand College of Engineering Indore M.p., India. Yash Agrawal* Vijay Birchha Swami Vivekanand College of Engineering Indore M.p., India. The improvement in medical image dispensation is increasing in an incredible manner. The speed of increasing ailment by method of reverence to various types of cancer and other related human exertion pave the way for the increase in biomedical research. as a result giving elsewhere and analyzing these medical descriptions is of high significance for scientific diagnosis. This work focus on the stage effectual categorization of brain tumour descriptions and segmentation of exist illness images employing the planned mixture bright techniques. The challenge as well as objectives lying on design of mark extraction, characteristic collection in addition to image classification and segmentation for medical images are discuss The tentative results of intended method contain been appraise and validate for arrangement in addition to superiority examination on magnetic clatter brain images, based on accuracy, sensitivity, specificity, and dice comparison directory coefficient. The experimental marks achieved 91.73% accuracy, 91.76% specificity, and 98.452% sensitivity, demonstrating the efficiency of the proposed method for identify normal and nonstandard tissues from intelligence MR images. 03 30 2020 3662 3667 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7958.038620 https://www.ijrte.org/portfolio-item/F7958038620/ Department of Economics, Dibrugarh University, Assam, India. Chumki Handique Indian economy has more than 60% of the work force engaged in it and with the sectoral contribution of 17-18% to country's GDP in 2018-19. Despite such heavy dependence and high significance of the agricultural sector, per capita productivity in agriculture over the past few decades is less in comparison to the productivity in other sectors. Available statistics shows that agricultural production has rose marginally during the period of green revolution (starting in 1960s) which was driven by the technology revolution. Technology revolution here means- ‘seed-fertiliser-water technology’ or modern technology. In the present study, a detailed time series analysis for a time period of 36 years (1981-2017) is made to study the impact of technology in production in both the short run and long run. Firstly, the present status of technology use is studied and secondly a crop-output model is considered depicting the role of technology in production of India. Here, the impact of technology is measured using variables such as gross irrigated area, Pesticide use, Synthetic nitrogen fertilizer (NPK) uses, use of improved seed varieties (HYVs) etc. and their impact upon agricultural production (food grains as well as non-food grains) is tested using various econometric tests such as Johansen Co-integration test, regression estimates etc. A composite index has been constructed using PCA method as a proxy to technology. To examine the linkage between technological advancement and agricultural production in India, we employed the Vector auto regression (VAR) model proposed by Sims. To draw inferences on the results of VAR, we also used forecast error variance decomposition (FEVD) which gives both short-run impact and long-run impact of each variable in explaining the forecast error variance of the dependent variable. 03 30 2020 2088 2094 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7961.038620 https://www.ijrte.org/portfolio-item/F7961038620/ Computer Science Department, BINUS Graduate Program–Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia Afgan Fazri Handoko* Antoni Wibowo Computer Science Department, BINUS Graduate Program–Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia. Customer Relationship Management (CRM) system is one of the methods to increase customer satisfaction with the services provided by the company. The data in a CRM system sometimes have not been utilized properly to find specific information about customer needs. The data mining process can help companies to segment and retrieve useful information about customers. The segmentation of customers can be categorized into groups based on the RFM (Recency, Frequency, and Monetary) values of the customers. Several studies have used the RFM model as a basis for customer segmentation. However, the methods proposed in previous studies are very specific to certain industries and the range of RFM scores used is also very subjective. Also, as the business grows there are challenges with RFM score measurement. RFM score measurement needs frequent adjustments in which this adjustment is not easy using the existing methods. Therefore, this study proposed a novel method to overcome the limitation of the existing methods using combined K-Means and Davies-Bouldin Index (DBI) to find the appropriate range of RFM scores. Based on our study in a telecommunication industry the proposed method simplify the measurement of the RMF scores as the data grows. This research also provided the appropriate RFM score range through the K-Means approach based on the optimal K value of the K-Means algorithm. Our proposed method could be implemented in other industries since it only depends on the values of RFM from the correspond data for each customer. 03 30 2020 1840 1846 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7962.038620 https://www.ijrte.org/portfolio-item/F7962038620/ Mechanical engineering department, Koneru Lakshmaiah Education Foundation, Vaddesvaram, Andhara Pradesh-522502, India Atul Bhattad* Payal Bhattad faculty of physics in Rabindra Bhartiya Public School, Vijayawada, Andhra Pradesh Ankur Bhattad AQR Capital, Bengluru, India Kshitij Maheshwari Manager Department of, Development Benelli, Hydrabad, India. Ayush Maheshwari senior design engineer in Larsen and Toubro Construction, Chennai, India. Numerical simulations have been carried out on a rectangular tank filled partially with liquid using volume of fluid technique. The tank has been given to and fro motion in one direction. Numerical simulation has been carried for a two dimensional case having laminar and unsteady flow. The changes in free surface displacement and dynamic pressure at different times has been observed using ANSYS software. The study was conducted for two sec. It was observed that free surface displacement of fluid increases with velocity. Also, with an increase in volume of liquid the sloshing effect decreases. 03 30 2020 1941 1944 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7964.038620 https://www.ijrte.org/portfolio-item/F7964038620/ Department of Electrical Engineering, Delhi Technological University, New Delhi, India. Anadi Shankar Jha Anish Agrawal Department of Electrical Engineering, Delhi Technological University, New Delhi, India. Mohammad Rizwan Department of Electrical Engineering, Delhi Technological University, New Delhi, India. The paper is aimed at discussing the coming technological trends in smart energy monitoring and tracking and to suggest any possible improvements in the same. The paper showcases an economical Rasberry Pi based model for smart energy metering and automatic data logging. The system under study uses a PQ analyzer for data monitoring, DHT22, pyranometer sensors for data acquisition. The various communication protocols for data transfer like Modbus, I2C, RS485 are studied with regard to the system. The sample size of data is from a 5kW, 302.2 V solar panel system. A three-phase solar inverter provides the electrical power output. A Meco solar analyzer present at University lab has been used to log electrical data. A major drawback of the same is its inability to measure data while the panels are connected to a load. Thus, a smart energy meter that constantly monitors electrical data as well as ambient environmental conditions has been implemented with the help of raspberry pi. Data such as irradiance, temperature, voltage and current are taken. Data is automatically logged into a SQL database. The aim of this paper is to study the current technological trends and propose possible areas of improvement in the current technology. 03 30 2020 1909 1012 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7971.038620 https://www.ijrte.org/portfolio-item/F7971038620/ Department of Electrical Engineering, Delhi Technological University, New Delhi, India. Arindam Jain* Ayush Singh* Department of Electrical Engineering, Delhi TechnologicalUniversity, New Delhi, India. Deepanshu Bansal* Department of Electrical Engineering, Delhi Technological University, New Delhi, India. Prof. Madan Mohan Tripathi* Department of Electrical Engineering, Delhi Technological University, New Delhi, India. This paper presents a hardware and software architecture for an indoor navigation of unmanned ground vehicles. It discusses the complete process of taking input from the camera to steering the vehicle in a desired direction. Images taken from a single front-facing camera are taken as input. We have prepared our own dataset of the indoor environment in order to generate data for training the network. For training, the images are mapped with steering directions, those are, left, right, forward or reverse. The pre-trained convolutional neural network(CNN) model then predicts the direction to steer in. The model then gives this output direction to the microprocessor, which in turn controls the motors to transverse in that direction. With minimum amount of training data and time taken for training, very accurate results were obtained, both in the simulation as well as actual hardware testing. After training, the model itself learned to stay within the boundary of the corridor and identify any immediate obstruction which might come up. The system operates at a speed of 2 fps. For training as well as making real time predictions, MacBook Air was used. 03 30 2020 1766 1771 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7972.038620 https://www.ijrte.org/portfolio-item/F7972038620/ Associate Professor in Architecture, School of Planning and Architecture, University of Mysore, Mysore Shobha R Shankar B Director of Institute of Development Studies and Professor of Urban and Regional Planning, School of Planning and Architecture, University of Mysore, Mysore The core of historical cities in India is complex areas; having historical urban fabric symbolizing the origins of the city usually endowed with significant heritage buildings and serving as a place of identity for the entire city. The core of Mysore is one such historical and prime heritage city in India. The city is known as the ‘city of palaces’. The City of Mysore originated as a small nucleus with Ambavilas palace as the focal point and has expanded around the palace as when required. The origination point is currently the core area which is the oldest city part having many prevailing heritage buildings. The core of Mysore has historic urban fabric and exhibits unique characteristics that contribute significantly to the good imageability of the city. The core is in the phase of transformation due to rapid urbanization. The disharmonious developments have resulted in the loss historical urban fabric and character, thus tarnishing the image of the city. The methodology for the study is based on field survey adopting visual survey method for data collection by techniques like photography, diagrams or maps and analyzing various literatures to comprehend the elements of urban fabric, historic evolution, growth and development of urban core areas. The paper attempts to analyze the urban fabric of Mysore core, factors affecting and suggest strategies and measures for improving the urban fabric for conserving the character of city core. The paper also intends to emphasize on challenges of core areas undergoing constant pressure of transformation prone to consequential effects of urbanization resulting in loss of character. The proposed strategies are some of the tools and techniques that could be adopted by urban designer, planner, and local planning authorities in improving the urban fabric of core area. 03 30 2020 3262 3267 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7977.038620 https://www.ijrte.org/portfolio-item/F7977038620/ Department of Computer Science, Jouf University, Sakaka, Aljouf, Kingdom of Saudi Arabia. Muhammad Hameed Siddiqi* Cancer is one of the most dangerous diseases that if not diagnosed at early stages can lead to death. Cancer is of different types and breast cancer is a known form of it that is prevailing around the world. It is found in almost 11% of the world women population in their life time. The early detection of this type of cancer is essential not only to reduce the life fatalities but also for the human race. Due to some drawbacks and negative impacts, it remains a fascinating concern to recover the pictorial eminence of mammograms at the initial stage by a robust method to examine the cancer in the breast. In this study, we have presented a method of noise destruction and image enrichment by utilizing wavelet transform. The proposed method consisted of three steps. Also, the preprocessing was employed to improve the local divergence in condensed areas in which the improvement parameter delivers the anticipated aspect enrichment. In the proposed method, the effect of artifacts has been solved that is one of the critical issues now a day, which produces during the analyzing of the mammographic image. The proposed algorithm gave best results as compared to the existing works for which less user adjustment parameters are required. 03 30 2020 1772 1779 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7978.038620 https://www.ijrte.org/portfolio-item/F7978038620/ Department of Information Systems Management, BINUS Graduate Program-Master of Information Systems Management, Bina Nusantara University, Jakarta, Indonesia 11480, Jakarta, Indonesia. *Joshua Alvaro Fitzhan Jessica Cleine Department of Information Systems Management, BINUS Graduate Program-Master of Information Systems Management, Bina Nusantara University, Jakarta, Indonesia 11480, Jakarta, Indonesia. Yohanes Farley Viriando Department of Information Systems Management, BINUS Graduate Program-Master of Information Systems Management, Bina Nusantara University, Jakarta, Indonesia 11480, Jakarta, Indonesia. Sfenrianto Department of Information Systems Management, BINUS Graduate Program-Master of Information Systems Management, Bina Nusantara University, Jakarta, Indonesia 11480, Jakarta, Indonesia. Gunawan Wang Department of Information Systems Management, BINUS Graduate Program-Master of Information Systems Management, Bina Nusantara University, Jakarta, Indonesia 11480, Jakarta, Indonesia. Technology has changed the world in every aspect. One of them is how we make a transaction. With Financial Technology (Fintech), payment can be made with only your mobile phone, your new digital wallet. Indonesia is one of the fastest countries in digitalization, surpassing Brazil and China, has begun utilizing this new technology. However, the penetration rate is considered low. The condition of Indonesia’s fintech is still developing and competing fiercely against several other fintech that arose together in the same period. In this paper, the study focused on one fintech in Indonesia named DANA. The objective is to propose a model to identify the factors influencing the acceptance and usage of DANA. The methodology used in this study will be TAM that has been modified to fit the object of study. The results are hoped to be used as guidance for DANA’s improvement. 03 30 2020 1654 1661 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7979.038620 https://www.ijrte.org/portfolio-item/F7979038620/ Program of Enviromental Science, Padang State University, Indonesia. Susi Erianti* Indang Dewata Ph.D., Padang State University, Indonesia. Dedi Hermon Ph.D., Padang State University, Indonesia. Forest is a natural resource that has a very important and strategic role in national development. Forest and land fires in Indonesia are considered regional and global disasters. This is due to the impact of forest fires on neighbouring countries. Forest and land fires Forest and land fires in Indonesia that occur every year since 1997. This condition occurs in El Nino conditions during the dry season and biophysical conditions of degraded land. Forest and land fires are rotting on socio-cultural, economic and political aspects. Therefore, the Indonesian government was involved in multi-government control of Forest and land fires. Thus, improving between bodies is needed in the control of Karhutla. This paper will provide an integrated concept in an effort to control forest fires. The method of making is by studying literature, added by searching from the author. The method of analysis of this paper is a literature study of several results, both the author's research and the research of various parties. Literature Study, this analysis is also supported by secondary data released from the parties who violate. Furthermore, the data is analyzed and can be analyzed freely which can be supported by theories and concepts that will be built in various operational steps, and results, and some results from several literature and event analysis. Can be used for fire control carried out through 3 (three) stages, namely prevention of events, blackouts, and post-fire handling. This process is carried out on all components in the system. 03 30 2020 1662 1666 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7982.038620 https://www.ijrte.org/portfolio-item/F7982038620/ Mechanical engineering department, Koneru Lakshmaiah Education Foundation, Vaddesvaram, Andhara Pradesh-522502, India. Atul Bhattad* B. V. Dharmendra Mechanical engineering department, Koneru Lakshmaiah Education Foundation, Vaddesvaram, Andhara Pradesh-522502, India. Numerical simulations have been carried out on a partially filled rectangular tank using volume of fluid method. The tank has been given to and fro motion. Numerical simulation has been carried for a two dimensional case having laminar flow. The effect of sloshing on velocity at different times has been observed using ANSYS software. The study was conducted for two sec. Variations in the velocity has been observed with the time period. 03 30 2020 3046 3049 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7983.038620 https://www.ijrte.org/portfolio-item/F7983038620/ Universiti Kuala Lumpur Business School, Malaysia. Muhammad Ali Ishamuddin Mustapha Universiti Kuala Lumpur - MITEC, Johor Bahru, Malaysia. Jimisiah Jaafar Universiti Kuala Lumpur - MITEC, Johor Bahru, Malaysia. Muhammad Hassan Universiti Malaysia Tererngganu, Malaysia. Shafique Ur Rehman Ripah University, Pakistan. Innovation within the organizational parameters is a trend that is getting attention and is commonly known as intrapreneurship. It is important to assess the opinions of individuals working withing the organizations to perceive the feasibility of entrepreneurial endeavors and their reception from the management. A qualitative study is undertaken with interviews from various individuals working in different organizations in Malaysian retail industry. Based on their opinions regarding the measures taken by the management to promote the intrapreneurial enviroment within the organizations, several conclusions are reached. Still Malaysian retail sector organizations are not keen on instilling a culture of innovation because of cultural reasons and any initiative taken by an employee brings a consequences of uncertainty along with appraisal. 03 30 2020 1913 1925 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7985.038620 https://www.ijrte.org/portfolio-item/F7985038620/ Assistant Professor, Department of Computer Science and Engineering, Francis Xavier Engineering College, Tirunelveli, Tamil Nadu, India. P. J. Beslin Pajila* Karpagavalli. C Professor, Department of Computer Science and Engineering, St.Mother Theresa Engineering College, Tuticorin, Tamilnadu, India. Vijayarani. G Assistant Professor, Departmnet of Computer Science and Engineering, SCAD College of Engineering and Technology, Cheranmahadevi,Tirunelveli Dist, TamilNadu, India. Mangaiyarkarasi T pursuing final year Computer Science and Engineering at Francis Xavier Engineering College, Tirunelveli, Tamil Nadu, India. Madhu balashanmu R pursuing final year Computer Science and Engineering at Francis Xavier Study of perception or opinion mining is statistical analysis of the views of the people.In past years, it is one of the most effective fields of research in the language processing and text mining.Our views and interpretations of reality, and the decisions that we make, are largely dependent on how others see and judge the world.A general method for categorizing sentiment polarity is suggested, with detailed descriptions of the process.Data are collected from the students entry such as Feedback mechanism and it is substituted in our research algorithm. Experiments are performed with promising results for both assessment-level categorisation and analysis-level categorization. Finally, we also give insight into our future work on an examination of sentiments. 03 30 2020 2423 2427 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7991.038620 https://www.ijrte.org/portfolio-item/F7991038620/ Assistant Professor, S.S Jain Subodh P.G (Autonomous) College Dr. Satish Chand Sharma* Dr. Ravi Gupta Assistant Professor, S.S Jain Subodh P.G (Autonomous) College With increasing competition within every industry and the growing threat of substitute products from other industries, the organizations are facing increasing trouble in maintaining and improving their profitability and productivity levels, given the constraints of modern economy. After achieving a technological oligopoly, the organizations have fallen back on one of the oldest resource available to them – the human resource. Organizations, have off late, realized that a satisfied and contended employee is the primary key to attain better customer satisfaction, revenues and profits that they plan to achieve. Every industry differs from each other, in terms of the workplace environment, compensation structure, availability of the manpower, customer profiles and many such other factors. The authors decided to investigate the levels of employee job satisfaction in seven different industries, namely insurance, banking and finance, travel and tourism, outsourcing, education, healthcare and logistics industry. Taking a sample of 20 employees from each industry, the authors subjected the data collected from these 140 correspondents to the ANOVA tests using f – statistic to analyze the difference in the average job satisfaction levels in these industries.The results clearly exhibited that the healthcare, education and travel and tourism exhibited high levels of job satisfaction, whileinsurance, outsourcing and logistics industries figured low on this parameter. The paper closes with discussing the practical implications of this study for the industry and the scope of future work. 03 30 2020 5698 5703 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7994.038620 https://www.ijrte.org/portfolio-item/F7994038620/ Development Cooperation from South Korea, Ewha Womens University. Tirualem Awoke* Dr. Amanpreet Singh Assistant Professor, Punjabi University, School of Management Ethiopian Universities are fully dependent on government’s budget and procurement budget comes from tax payers. However, there is misappropriation of procurement budgets. Recently, procurement budget deficit has been observed in Public Universities of Ethiopia and 10 to 100 million Ethiopian birr have been wasted through non-transparent procurement systems. Employees also have been complaining about the quality of goods and services in every meetings held. Delays, poor qualified products and services, over pricing compared to the actual market price are the basic problems observed in procurement functions. Hence, this study aimed at identification of the basic factors that affect the proper functioning of public procurement practice in Public Universities. Analysis was made based on 351 selected respondents from 9 of the public Universities. Those employees who have direct relationship with public procurement were selected from top, middle and lower levels. Specifically, procurement workers, procurement and audit committee and internal auditors were participated. Multiple regression was employed and data was run by SPSS version 20. Tables were used for ease of interpretation. The regression results revealed that, public procurement policy, legal environment, organizational structure, employee ethics, ICT and management of suppliers have positive significant effect on the effective functioning of public procurement practice. However, budgetary allocation has insignificant and negative effect on the effective functioning of public procurement practice. Amending existing procurement guideline, open discussion with the nearby suppliers, continual ethics training for procurement workers and installing ICT platforms were found to be the possible recommendations. 03 30 2020 2095 2102 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7995.038620 https://www.ijrte.org/portfolio-item/F7995038620/ Research Scholar, Department of Computer Science and Engineering, Vardhaman College of Engineering affiliated to JNTUH, Hyderabad, Telangana, India. Mr. K. Kishore Kumar* Dr. H. Venkateswara Reddy Professor, Department of Computer Science and Engineering, Vardhaman College of Engineering affiliated to JNTUH, Hyderabad, Telangana, India. The scientific study of algorithms and statistical Models is often referred to as Machine learning that computer Systems use to perform specific tasks without using explicit Instructions, relaying patterns and interfaces instead. Ongoing Improvements in data frameworks just as computerization of Business forms by associations have prompted a quicker, simpler and progressively precise information investigation. Information Mining and AI procedures have been utilized progressively in the Examination of information indifferent fields extending from Medication to fund, training and vitality applications. Artificial Intelligence procedures make it conceivable to deduct important additional data from that information handled by information mining. Such important and noteworthy data causes associations to build up their future arrangements on a sounder premise, and to increase significant points of interest as far as time and cost. This investigation applies grouping calculations utilized in information mining and AI methods on that information got from people during the professional direction procedure, and attempt to decide the most suitable calculation. In this paper we study all methods and techniques used in data mining and machine learning and decide the best algorithm for machine learning 03 30 2020 3638 3641 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7997.038620 https://www.ijrte.org/portfolio-item/F7997038620/ Department of Systemics, University of Petroleum and Energy Studies, Dehradun, India. Akanksha Bisht* Neelu Jyothi Ahuja Department of Systemics, University of Petroleum and Energy Studies, Dehradun, India. Pedagogical policies are designed for organizing and sequencing the instruction plan provided to the learner, for supporting learning activities and deciding which learning environment will be suitable for what kind of learner. In this paper, a multi-level pedagogy model named competency-based instructional model (CBIM) is presented for LD learners. The pedagogy policies are recommended based on the CBIM model, it takes problematic skills of the learner as input and delivers a learner-centric instruction plan (IP) according to the problematic skill. For the implementation of CBIM model, case-based reasoning approach is used and CBRI and observation models are proposed. 03 30 2020 1847 1858 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7998.038620 https://www.ijrte.org/portfolio-item/F7998038620/ Faculty of Technical and Vocational Education, UTHM, Batu Pahat, Malaysia. Ahmad F* Khairunesa ISA Science Social Department, Center for General Studies and Co-Curricular, UTHM, Batu Pahat, Malaysia Sarala Thulasi Palpanadan English & Linguistic Department, Centre of Language Studies, UTHM, Batu Pahat, Malaysia. Siti Sarawati Johar Science Social Department, Center for General Studies and Co-Curricular, UTHM, Batu Pahat, Malaysia. Jamin. J Faculty of Technical and Vocational Education, UTHM, Batu Pahat, Malaysia Feeling happy is fundamental to human experience in life. The interest in happiness has also extended to workplace experiences. There are some ways to know the factors that can contribute to the employee happiness. This paper tries to identify the success factors to determine happiness at the workplace among public university staff. A simple random sampling technique was executed as a methodology for this research. The data was collected using questionnaire from 535 university staff One of the Malaysian Technical University Network has been choose. The results showed that family and social factors have a high mean score to staff happiness while organizational factor has a low mean score to staff happiness. Therefore, this study tries to propose some approaches for organization to do in order to make staff happy in the workplace especially on the aspect of employee welfare. 03 30 2020 2868 2871 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8000.038620 https://www.ijrte.org/portfolio-item/F8000038620/ Ph.D. Scholar, department of Computer Science and Engineering, Sir Padampat Singhania University, Udaipur, Rajasthan, Assistant Professor K.J. Somaiya Institute of Engineering & Information Technology, Mumbai, India. Vijaya Pinjarkar* Amit Jain Assistant Professor, Computer Science and Engineering, Sir Padampat Singhania University, Udaipur, Rajasthan, India. Anand Bhaskar Head & Assistant Professor, Electronics & Communication Engineering, Sir Padampat Singhania University, Udaipur, Rajasthan, India. Prateek Srivastava Assistant Professor, Computer Science and Engineering, Sir Padampat Singhania University, Udaipur, Rajasthan, India. Digital era generates a huge amount of data in many sectors like education, medical, banking, business, marketing, etc. which can be used for research motive, analysis, prediction of trends, statistics, etc. Data mining techniques are useful in finding patterns, trends, and knowledge from such huge data. The data holders are not ready to share data because there are chances of privacy leakage. Sharing of such data immensely helps researchers to obtain knowledge from it, especially medical data. Privacy preserving data mining is one way where researchers will get mine data for gaining knowledge without breaching the privacy. In the medical sector there is a branch called the mental health section, where high confidentiality of data is maintained and is needed. Owners are not ready to share data for research motives. Mental health is nowadays a topic that is most frequently discussed when it comes to research. PPDM allows sharing data with the researcher, where the privacy of data is maintained by using perturbation techniques giving relief to doctors (owner of data). The current paper experiments and analyses different perturbation methods to preserve privacy in data mining 03 30 2020 1945 1949 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8007.038620 https://www.ijrte.org/portfolio-item/F8007038620/ Department of Biotechnology, Kulliyyah of Engineering, International Islamic University Malaysia, Gombak, Malaysia. Nur Aimi Aliah Zainurin* Nurhusna Samsudin International Institute for Halal Research and Training, International Islamic University Malaysia, Gombak, Malaysia. Yumi Zuhanis Has-Yun Hashim International Institute for Halal Research and Training, International Islamic University Malaysia, Gombak, Malaysia. Ma’an Fahmi Rashid Al-Khatib Department of Biotechnology, Kulliyyah of Engineering, International Islamic University Malaysia, Gombak, Malaysia Nor Fadhillah Mohamed Azmin Department of Biotechnology, Kulliyyah of Engineering, International Islamic University Malaysia, Gombak, Malaysia. Mohd. Hafidz Mahamad Maifiah International Institute for Halal Research and Training, International Islamic University Malaysia, Gombak, from plant materials are continuously being tested using various techniques in the quest to find new therapeutic agents including from agarwood species. To date, the current existing method and parameters of extracting A. malaccensis leaves are still indefinite. Hence, this study was carried out to redefine the standard method of Soxhlet extraction by optimizing the parameters in order to maximize the yield of A. malaccensis leaves. The yields of Aquilaria malaccensis leaves extract (ALEX) were statistically optimized using Response Surface Methodology (Central Composite Design) with two factors: (A) extraction time (12, 15 and 18 hours) and (B) solid to solvent ratio (1:50, 1:60 and 1:70). The optimization of ALEX yield revealed that Run 5 had the highest yield of 184.482 ± 5.849 mg/g (18.45% wt/wt) with A: 18 hours and B: 1:70 while the lowest yield was at Run 12, 160.173 ± 15.342 mg/g (16.02% wt/wt) with A: 12 hours and B: 1:70. Subsequently, the analysis of variance (ANOVA) revealed that optimization study was well explained by a quadratic polynomial model (R2=0.7964 and Adj. R2=0.6510) implying the acceptable accuracy and general availability of the polynomial model. The data presented that only the effect of A was highly significant (P-value = 0.0123) towards the yield of ALEX although the interaction between variables A and B were significant as indicated by a small P-value=0.0220 (<0.05). Subsequently, the model validation showed that the experimental value accorded considerably well with the predicted value and ultimately the yield of ALEX was successfully optimized. 03 30 2020 1926 1934 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8013.038620 https://www.ijrte.org/portfolio-item/F8013038620/ Scholar, Department of computer Engineering, Arya College of Engineering, Kukus, Jaipur, Rajasthan, India. Animika Dr. Vibhakar Pathak Professor, Department of computer Engineering, Arya College of Engineering, Kukus, Jaipur, Rajasthan, India. Dr.Vishal Shrivastava Professor, Department of computer Engineering, Arya College of Engineering, Kukus, Jaipur, Rajasthan, India. Dr. Akil Professor, Department of computer Engineering, Arya College of Engineering, Kukus, Jaipur, Rajasthan, India. The present scenario requires a large amount of digital content in the context of forums, directories, videos, classes, etc. Questions can thus play a significant role in digital media by quizzes, questions. Producing Question is the job of automatically producing questions from natural language, acting as one of the main fields of natural language human-computer interaction. we focus on generating fact-seeking, questions using the knowledge base. We implemented a system that takes a reading comprehension text as input and outputs all questions for the selected domain. Our system makes the GQ process three-stage. 1. Content selection selected for question generation 2. Question formation (content transformations to get the question), 3. Evaluate the quality of generated question. The framework system is implemented as an end-to-end system that expects a human to specify a topic. The resulting output is a set of questions in natural language, that Follows the input domain. We show the effectiveness of our approach with previous Heilman and Smith MH method. 03 30 2020 2741 2745 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8014.038620 https://www.ijrte.org/portfolio-item/F8014038620/ Chemical Engineering and Pilot Plant Department, Engineering Research Division, National Research Centre , Dokki, Cairo Mohamed H. Sorour Marwa M. El Sayed Associated Professor, Chemical Engineering and Pilot Plant Department, Engineering Research Division, National Research Centre , Dokki,Cairo. Abdelghani M. G. Abulnour Chemical Engineering and Pilot Plant Department, Engineering Research Division, National Research Centre , Dokki,Cairo. Shadia R. Tewfik* Chemical Engineering and Pilot Plant Department, Engineering Research Division, National Research Centre , Dokki,Cairo Hayam F. Shaalan Professor, Head of Chemical Engineering Department in the National Research Centre Heba A. Hani. National Research Center, Egypt. Seawater desalination is becoming a crucial intervention for mitigating water shortage in numerous Middle East countries. Desalination technology is associated with various technological challenges that should be resolved to maintain plant sustainability and performance. For instance, seawater hardness is recognized as a challenge for recent large scale desalination plants. Optional technologies including chemical treatment, adsorption and membrane filtration have been developed for hardness removal and recovery of Ca and Mg. This paper addresses the development and application of a new conductive polymeric hydrogel composite exhibiting electrically tunable characteristics. A comprehensive review on the preparation of conductive hydrogel and its application for water treatment is first presented. The newly developed hydrogel composite comprises treated zeolite, polyacrylate, polyaniline, hydrolyzed polyacrylamide and special processing aids. The characteristics of the composite have been determined via scanning electron microscopy, Fourier transform infrared spectroscopy and electric conductivity measurements in addition to swelling ratio. Impact of composition and processing conditions on conventional and electrochemically enhanced adsorption experiments have been presented and analyzed. Electro-regeneration has been also explored. The promising features of this hydrogel in composite are elucidated by the removal and recovery of hardness causing elements in simulated seawater and brines. It is concluded that the developed hydrogel is initially qualified for upstream seawater softening. Additional endeavors are still needed for downstream brine management to overcome apparent osmotic effects. 03 30 2020 2873 2878 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8015.038620 https://www.ijrte.org/portfolio-item/F8015038620/ P.G., Department of Engineering (Communication Systems) Annamalai University, Tamil Nadu, India. K. Harini* Dr. G. Yamuna Professor and Head, Department of Electronics and Communication Engineering, Annamalai University, Tamil Nadu, India. V. Santhiya P.G., Department of Engineering (Communication Systems) Annamalai University, Tamil Nadu, India. By an growing demand for security systems, identification of individuals based on biometric techniques has been a major role of research and education. Biometric recognition examines unique behavioral characteristics, such as an iris, face, retina, voice, fingerprint, hand geometry etc. The iris is one of the highly consistentmethods that used to identify individuals because it is fixed and does not change throughout life. This features have led to increasing importance in its use for biometric recognition. In this study, we proposed a system combiningDiscrete Wavelet Transformation and Principal Component Analysis forfeature extraction process of an iris. The idea of using DWT behind PCA is to decrease the resolution of the iris pattern. The Discrete Wavelet Transform (DWT) is depend on sub-band codingwhichreduces the computation time and resources required. PCA is used for further extraction. Our experimental calculation supports the efficient performance of the proposed system. 03 30 2020 2298 2303 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8016.038620 https://www.ijrte.org/portfolio-item/F8016038620/ Assistant Professor , Department of Civil Engineering, Bannari Amman Institute of Technology, Sathyamangalam-638 401, India. A Jayaraman N Sathyakumar Assistant Professor , Department of Civil Engineering, Bannari Amman Institute of Technology, Sathyamangalam-638 401, India. K Murugananthan PG and UG Student , Department of Civil Engineering, Bannari Amman Institute of Technology, Sathyamangalam-638 401, India T Gowtham PG and UG Student , Department of Civil Engineering, Bannari Amman Institute of Technology, Sathyamangalam-638 401, India K Siva Sankar PG and UG Student , Department of Civil Engineering, Bannari Amman Institute of Technology, Sathyamangalam-638 401, India Structural steel has many advantages over other construction materials by its high strength and ductility. It has a higher strength to cost ratio in tension and a slightly lower strength to cost ratio in compression when compared with concrete. This paper is intended to evaluate the beam column rolled and cold formed steel connection experimentally by moment resistant connection such as stiffened, un stiffened and splices connection. At the present, in most of the countries, the use of light gauge cold formed steel section has been developed for economical and best seismic performance by different shape of cross sectional area and various types of connections are used. These results to study the seismic performance of cold form steel sections area using various moment resistance connections. Finally the report result the splice connection has best moment resistance connection, seismic resistant of structures, load carrying capacity is high and minimum weight compare with other types of connections. The splice connection has load carrying capacity is high, so we can reduced the size of section and prevent the base shear due to reduced the weight of structures. 03 30 2020 2879 2885 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8018.038620 https://www.ijrte.org/portfolio-item/F8018038620/ Civil Department, Mohammedia Engineering School, Mohammed 5 University, Rabat, Morocco. Laila Bouhlal* Mohammed Touati Civil Department, Mohammedia Engineering School, Mohammed 5 University, Rabat, Morocco. Nouzha Lamdouar Civil Department, Mohammedia Engineering School, Mohammed 5 University, Rabat, Morocco. The objective of this study was to establish a theoretical model regarding the dynamic behaviour of the railway vehicle in the vertical plan while travelling on a track with irregularities. In this article the vehicle is modelled by seven bi-dimensional rigid elements respectively representing: the body, tow boogies and four wheels. The equations system was numerically integrated by the Newmark´s β and Wilson ɵ method. The model developped was subjected to a validation process based on the comparison between numerically derived acceleration spectra and experimental data. 03 30 2020 846 850 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8024.038620 https://www.ijrte.org/portfolio-item/F8024038620/ M Com Finance and System Amrita School. Of Arts and Science, Kochi Athira K Thampi* Athira V Menon M Com Finance and System Amrita School . Of Arts and Science, Kochi K G Rajani Assistant Professor Amrita School Of Arts and Science, Kochi A shopping mall is a building that contains retail stores under one roof. It is the collection or group of different stores offering various brands, products or services at one place.In malls under one roof we can see different consumer attitudes. But this wasn’t the case before the arrival of mall, people was depending on mom-and-pop stores and margin free to get their supplementary, and need to visit other stores to get several other things like garments , groceries etc. But this was not the case when mall was introduced, people was free to purchase from one place where we get all the needed things. Nowadays, malls are situated in almost every major city around the world which plays a pivot role in today’s environment and we see consumer with different purchasing behaviour. 03 30 2020 2428 2429 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8025.038620 https://www.ijrte.org/portfolio-item/F8025038620/ Automotive Research Centre, Vellore Institute of Technology, Vellore, India. P. Shunmuga Perumal* M. Sujasree School of Advanced Sciences, Vellore Institute of Technology, Vellore, India. K. Siddhardha Department of Aerospace Engineering, IIT Madras, India. K. Gokul Samsung Research and Development Institute, Bangalore, India. Autonomous ground vehicles (AGVs) started occupying our day-to-day life. AGVs can be programmed to be smart with the current technological advancements. In doing so, we can apply them to assist humans in many aspects like reducing road accidents, enabling us to use cars without driving knowledge, autonomous patrolling in dangerous zones, and autonomous farming. For AGVs to operate at this level of automation, it must be equipped with sensory perception devices to be aware of its surroundings, and also, a way to perceives this data is crucial. As a first step towards this, researchers have developed a vast number of camera vision-based efficient neural network algorithms for detecting and avoiding obstacles. Unfortunately, an AGV cannot survive only with computer vision as it suffers from several effects like night driving and erroneous estimation of distance information. Camera vision and lidar vision together is suitable for AGVs to operate in all conditions like day, night, and fog. We propose a novel neural network model, which transforms the lidar sensor data into obstacle avoidance decisions, which is integrated into the hybrid vision of any AGV. Existing lidar sensor-based obstacle detection and avoidance systems like 2D collision cone approaches are not suitable for real-time applications, as they lag in providing accurate and quick responses, which leads to collisions. The proposed intelligent Field of View (FOV) mechanism replaces classical mathematical approaches, which accurately mimics the behavior of human drivers. The model quickly takes decisions with a high level of accuracy to command the AGV upon being obstructed with obstacles in the trajectory. This makes the AGV drive in obstacle rich environments without manual maneuvering autonomously. 03 30 2020 2466 2474 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8029.038620 https://www.ijrte.org/portfolio-item/F8029038620/ Universiti Teknologi Malaysia – AHIBS, Malaysia. Siti Nurhafizah Ahmad Zuraidah Sulaiman Universiti Teknologi Malaysia – AHIBS, Malaysia. Khalifah Zainab Universiti Teknologi Malaysia – AHIBS, Malaysia. Recently, volunteering has become a global trend and the number of volunteers has increased significantly at special events. Sports events are the most common special events which can be defined as a function or "occasion" that aims to raise money for the community or the non-profit group that organizes it, in terms of fundraising. There are many types of special events, each with its own complexity and relevance to different groups. Many sporting events rely on volunteers who play a crucial role in the success of an event. It is therefore the responsibility of the organizer and the management to understand the motivation and satisfaction of the volunteers, which will lead to new volunteers for future sporting events. Understanding the motivations of volunteers and ensuring that they can successfully accomplish the different roles required to achieve their goals is challenging. In order to recruit and retain enough volunteers at sporting events, it is important to understand clearly motivating factors that lead to volunteer satisfaction, to develop a successful volunteer retention strategy so that the organizer can recruit and keep enough volunteers at sporting events. Nevertheless, with these limitations, this study will highlight the motivational factors that can affect volunteering. The researcher's project should therefore build on the ideas that emerge from the theory of self-determination (SDT). The SDT is applied in this conceptual research paper to discuss the volunteers’ motivation to volunteer for special sporting event using VMS-ISE motivation scale. The volunteers' satisfaction with volunteering at special sporting events is also measured. This research ends with a conceptual framework in which motivational factors and the satisfaction of volunteers are discussed. 03 30 2020 4836 4842 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8032.038620 https://www.ijrte.org/portfolio-item/F8032038620/ Computer Science and Engineering, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, India. Majji Vikram Raj Kumar* Dr. D. Rajeswara Rao Computer Science and Engineering HOD, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, India. A blockchain is a shared, public register, storing business transactions and outlining assets, and of which immutable in nature. Globally Electronic Health Record (EHR) market is swiftly rising. Due to this swift growth of the EHR market worth is predictable to be $50 billion in 2025. Blockchain will revolutionize in the medical field, to store medical historical records in a tamper proof, secure, and more reliable in the effective diagnosis and treatment in the real-time medical data. Health care data it can be twisted copied and modified faster than ever before and if the data is the critical thing behind more efficient care block chain may be the medium to get us there, currently the medical organizations are being ruined because of poor data integration. Our project consists of Drug description, Data Security, Huge Data, cloud. Once the data is entered the data goes to the block and links to the chain. We are using blake2b, because blake2b is much faster and has less rounds compared with the blake. Blake2b is about 30 percent faster than the blake. The data is finally transferred to the Json file to compact and easy to transfer in nature. We similarly converse the privileges of blockchain, along with the tests tackled and future viewpoints. Execution measurements in blockchain systems, for example, latency, throughput, Round Trip Time (RTT), has been advanced for achieving upgraded results. Contrasted with customary EHR frameworks, which use customer server design, the proposed framework utilizes blockchain for improving proficiency and security. 03 30 2020 3092 3096 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8033.038620 https://www.ijrte.org/portfolio-item/F8033038620/ Computer Science, Mangalore University, Mangalore, Karnataka, India Mohammad Rafi* Dr. Manjaiah D.H Computer Science, Mangalore University, Mangalore, Karnataka, India. Brain signals are complex and nonstationary, each signal represents an intendent behavior of a user. Brain Computer Interfaces (BCIs) are used to extract and translate these signals. Electroencephalography (EEG) is the common method used for this purpose. Identifying which signal represents which action is important. In this paper, we extracted spatial and spectral patterns for right and left hands imagined movements from EEG signals. We considered only C3 and C4 bipolar channels and band frequency (8-30 Hz) for both alpha and beta. The relevant features classified using Support Vector Machine (SVM) and 9 other common classifiers to compare and contrast classification performances. To ensure classification performance we calculated confusion matrix classes for all 9 subjects from II b dataset. Classification accuracy observed and recorded from all classifiers and 9 subjects. The highest classification accuracy scores for 3 subjects S4, S8 and S9 are (100 %, 89 %, and 71 %) and misclassification scores are (0 %, 11% and 29 %) respectively. 03 30 2020 3268 3269 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8035.038620 https://www.ijrte.org/portfolio-item/F8035038620/ Electrical Engineering Department, National Institute of Technical Teacher’s Training and Research, Chandigarh, Chandigarh, India Anjali A. Bhandakkar* Lini Mathew Electrical Engineering Department, National Institute of Technical Teacher’s Training and Research, Chandigarh, Chandigarh, India In recent years, deregulation, open access, and co-generation in electrical power system are creating transmission voltage sags, swells, forced outages, and frequently followed by black-outs, congestion scenario, and many such problems. Reactive power limit is one of the major causes of voltage instability in the power system, and improving the system's reactive power handling capacity via Flexible AC transmission System (FACTS) devices is one of the remedies for prevention of voltage instability. The typical representatives of parallel FACTS devices for its avoidance are Static Synchronous Compensator (STATCOM) and Static VAR Compensator (SVC). Real-Time Simulator facilitates a physically large and spatially diverse or distributed power system to be accurately simulated in laboratory, and physical devices, like controllers or protection equipment can be tested in real time, even with introduction of faults, overloads, loss of generation condition, and with many more conditions for stability analysis purpose. This paper presents comparison of power flow parameter and the performance characteristic of the controllers on Real-Time Simulator OPAL-RT-OP4510 with SVC, and STATCOM. The waveforms of voltage, current, active and reactive power during the Real-Time execution are taken from the simulation environment to the outside world, using input/output devices, and seen on Digital Storage Oscilloscope (DSO). The validation is done on multi-machine-9-bus system. The results of Real-Time Simulation during LLLG fault indicate that STATCOM supplies reactive power independent of line voltage, whereas SVC behaves as constant susceptance when the reactive power required by the system is above its rated capacity. The power flow parameters with both the controllers are comparable during steady state operation. 03 30 2020 1950 1958 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8047.038620 https://www.ijrte.org/portfolio-item/F8047038620/ Assistant Professor, Department of Computer Science at Sree Saraswathi Thyagaraja College, Pollachi, Tamil Nadu. N. Priyadharshini* Dr. V. Narayani Assistant Professor, Department of Computer Science at St. Xavier’s College, Palayamkotai, Tamil Nadu. In mobile computing, if agent experiences are assessed and available among end communication for environmental modelling, it helps in improving exploration load for unknown or unvisited circumstances. Therefore, it may speed learning procedure. As, building an accurate and effectual model with constraint time is also an essential factor, specifically for difficult conditions, this work initiates reinforcement model base learning approach based on work flow scheduling to acquire lesser memory consumption and effectual modelling. Here, two methods have been compared for attaining a real time experience and to produce virtual experiences as elapse time in learning process is reduced. However, this two modelling is appropriate for knowledge sharing. This analysis is inspired with knowledge sharing concept in multi agent based systems where agents has the competency to generate global modelling from scattering these models provided by individual agents. Subsequently, it may increase accuracy modelling; therefore it may offer valid experience for learning at earlier learning stage. To reduce make span process, anticipated model uses cost, reward and action techniques to grafting workflow scheduling need and resourceful experience from experienced system indeed of merging entire model. Simulation outcomes depict that anticipated scheduling model can acquire sample learning and efficiency model based acceleration in Multi-agent application objectives. Here, MATLAB environment is used for simulation. Metrics like cost, Make span is evaluated for agricultural dataset. Comparison is done with anticipated Dense mobile Network and Deep Q Network. Here, DMN shows better trade off than DQN model and more appropriate for agricultural dataset. 03 30 2020 3198 3207 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8048.038620 https://www.ijrte.org/portfolio-item/F8048038620/ Management Information Systems Department College of Business, King Khalid University, Abha, Saudi Arabia Osman A. Nasr Mohammed A. Hassanen Management Information Systems Department College of Business, King Khalid University, Abha, Saudi Arabia Ahmed A. Ahmed Management Information Systems Department College of Business , King Khalid University, Abha, Saudi Arabia Fath Alrahamn T. Ebrahim Management Information Systems, Department College of Business, King Khalid University, Abha, Saudi Arabia Online System course file management aims to keep a full archive of the course file as it can be used in educational institutions or colleges for the quality of the educational service and its development later, this system depends on the standards of quality of national and international educational institutions, also the proposed system allows to retain The course file can be tracked and the decision can be adopted by the quality unit. The role of the Quality Unit comes by reviewing the course file and ensuring that its contents are complete in accordance with the standards of quality of national and international educational institutions, and accordingly the course file is approved or returned due to incomplete file. This research was based on the WEBML methodology, which aims to develop web-based information systems, and has used many tools to implement this methodology, including UML, in order to build analysis and design schemes for the proposed system as well as design the interfaces of the proposed system. 03 30 2020 1869 1972 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8051.038620 https://www.ijrte.org/portfolio-item/F8051038620/ Ph.D, Assistant professor at Department of Civil Engineering, High institute for Engineering at 15th May City, Cairo, Egypt. Osama M. Ibrahim* Mohamed I. Amer Ph.D, University of Maryland – U.S.A., Professor of Soil Mechanics, Cairo University, Giza, Egypt. Buildings constructions over expansive soils are exposed to many problems and cracks. The most damaging issues occur due to differential heave displacements, which cause excessive deformations to the overlying structure up to and beyond its serviceability limit state and, in the worst cases, its ultimate limit state. A site investigation is performed for the study area at Tabuk University, Kingdom of Saudi Arabia. The geotechnical soil properties and swelling characteristics were determined. Visual observations of samples obtained from drilled boreholes at study area revealed reddish brown to grey thinly laminated weathered shale followed by shale formation, the subsurface formation is classified (CH) according to USCS. The research study is aimed at measuring the contact pressure at field and studying the efficiency of concrete pile anchor foundation (CPAF) system in reducing heave of footings constructed on expansive soil. In the field, two full scales reinforced concrete footings with and without concrete anchor piles were constructed on top of the expansive shale. After construction of field prototypes, the test area is wetted for 64 days. Monitoring of the footing movement indicated that the footing upward movement using CPAF system caused a 62% less than the footing constructed directly on expansive shale. 03 30 2020 1859 1864 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8054.038620 https://www.ijrte.org/portfolio-item/F8054038620/