-74813b3e17f460286df785 20220616001025121 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/ 11 30 2019 8 4 currently pursuing a PhD degree program in Computer Science & Engg Department, Moulana Azad National Institute of Technology, Bhopal, India, Anjna Jayant Deen* Manasi Gyanchandani currently working as an Assist. Professor in Computer Science & Engg Department, Moulana Azad National Institute of Technology, Bhopal, India, Biological information of protein primary structure is responsible for finding the protein function, extracting features and function of a protein in the biology lab is challenging and time-consuming. Identification of protein function provides essential information for the treatment of various diseases and drug design. Therefore, extracting the protein knowledge from primary structure alone has been a diverse field in the study of bioinformatics data mining and computational biology. This study aimed to function prediction of protein primary structure using the LSTM methods. PRNP(prion protein )most of the nervous system tissues express by prion protein, this is generally to protease-resistant from disease, due to this reasons, the human codon PRNP is most closely associated with Alzheimer disease. The PRNP protein data trained with Hemo sapiens PRNP selection, classification was implemented with network layer perceptron. The learning algorithms are frame by the nervous system. The training results observation indicate that the learning success of prion protein classification leads positively. 11 30 2019 4355 4359 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8283.118419 https://www.ijrte.org/portfolio-item/D8283118419/ Assistant Professor in CSE at SRMIST, Ramapuram, Chennai. Sivapriya J M.E* Sriram S Student at SRMIST, Ramapuram, Chennai Aravind Kumar V Student at SRMIST, Ramapuram, Chennai Siddarth Sai S Student at SRMIST, Ramapuram, Chennai One of the most dreadful disease is breast cancer and it has a potential cause for death in women. Every year, death rate increases drastically due to breast cancer. An effective way to classify data is through classification or data mining. This becomes very handy, especially in the medical field where diagnosis and analysis are done through these techniques. Wisconsin Breast cancer dataset is used to perform a comparison between SVM, Logistic Regression, Naïve Bayes and Random Forest. Evaluating the correctness in classifying data based on accuracy and time consumption is used to determine the efficiency of the algorithms, which is the main objective. Based on the result of performed experiments, the Random Forest algorithm shows the highest accuracy (99.76%) with the least error rate. ANACONDA Data Science Platform is used to execute all the experiments in a simulated environment. 11 30 2019 4879 4881 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8292.118419 https://www.ijrte.org/portfolio-item/D8292118419/ UGC Post-Doctoral Fellow, UIFT & VD,Panjab University, Chandigarh (India) Dr.Neha Miglani* Prof. Sanjeev K. Sharma Professor, UIAMS, Panjab University, Chandigarh (India) Dr.Prabhdip Brar Chairperson, University Institute of Fashion Technology & Vocational Development (UIFT & VD), Panjab University, Chandigarh (India) Credible and result-oriented organizations,all over the world,attempt to keep the employees stress-free and exultant. In the realm of Indian Media organizations, however, the concepts of job stress, work-home conflict and other organizational barometers to test out the wellbeing of work place and employees have gone unnoticed so far. While the gigantic media and entertainment industry in India continues to flourish with steadfast market reports suggesting considerable growth in near future, the employees’ concerns are overlooked particularly in a situation where media refrains from talking about media itself. One may have rarely heard instances of internal conflict among media organizations or discomfort of media employees in the open domain. This study examines the job stress of fashion and lifestyle journalists in the Indian media organizations with an aim to bring forth issues related to media professionals, specifically the working journalists for whom juggling between work, family, meeting deadlines, producing high quality stories- all often becomes an arduous task. It measures aspects of age, income of these journalists among others. The findings of the study are a reflection of the significant difference between the convention hard news journalism and the fashion and lifestyle journalism as a profession. Fashion and lifestyle journalism, as a genre, is much different and the demands are dissimilar to the hard news journalism. The present study takes a leap ahead and explores job stress among Indian fashion and lifestyle journalists 11 30 2019 8632 8636 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8293.118419 https://www.ijrte.org/portfolio-item/D8293118419/ Information Systems Department, School of Information Systems, Computer Science Department, BINUS Graduate Program – Doctor of Computer Science, Bina Nusantara University, Jakarta, Indonesia. Surjandy* Meyliana Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta, Indonesia Harco Leslie Hendric Spits Warnars Computer Science Department, BINUS Graduate Program – Doctor of Computer Science, Bina Nusantara University, Jakarta, Indonesia Edi Abdurachman Computer Science Department, BINUS Graduate Program – Doctor of Computer Science, Bina Nusantara University, Jakarta, Indonesia. Supply Chain Management System (SCMS) poses as one of the essential aspects for distributing component, especially in contemporary Automotive Industries. In this line, the tracing process of the automotive part is one of the critical features required in this industry, such as for automotive product improvement and its forensic. Early research reported that the tracing component feature is prone to component counterfeit that could cause financial loss and even loss of life. The recent studies emphasized that new development technology, commonly renowned as Blockchain is believed to have the ability to perform tracing automotive component and minimize the counterfeit. However, the feature of Blockchain technology is to track automotive component found in the literature mostly. In this frame, the biggest challenge is to obtain the evidence of Blockchain Technology implementation for automotive part component tracking. Therefore, this report paper is a part of design science research stages striving to perform the simulation test by using business process simulation method of Blockchain implementation for tracing automotive components. The focus group discussion involved a manufacturer automotive component, several distributors of automotive components, and two of the big three car manufacturers in the country. The purpose is to understand a comprehensive supply chain management process in the area of automotive component distribution. During the test by using simulation test model, revealed several advantages and challenges. Ultimately, Blockchain technology is potentially implemented for tracing automotive component and the merging combination system between SCMS and Blockchain Technology that contributes to developing new robust SCMS. 11 30 2019 5064 5068 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8294.118419 https://www.ijrte.org/portfolio-item/D8294118419/ Professor & Head of the department of Electronics and Communication engineering, Vardhaman college of engineering, Hyderabad, India Dr. G. A. E. Satish Kumar* K. Ammaji Electronics and Communication engineering, Vardhaman college of engineering, Hyderabad, India Crisis therapeutic benefits comprises of arriving at clinic inside base sum from claiming the long run so that prompt medicinal services will be Gave. Those suggested framework provides for the close-by hospital's area by those joined utilization about worldwide Positioning framework (GPS) equipment and Google guide requisition modifying interface (API). Dependent upon web about Things, it additionally gives data viewing doctor's facility offices like amount about beds, blood level for every one sorts What's more accessibility for doctors utilizing Different installed framework gadgets progressively Throughout major mishaps the place numerous setbacks must be approached. These constant information would accessed from the rescue vehicle through web connectivity Furthermore caution signs are provided for of the comparing healing facilities chosen Toward the setbacks. This serves in diminishing those morta rate Also enhances the cordiality of the people. 11 30 2019 4360 4363 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8297.118419 https://www.ijrte.org/portfolio-item/D8297118419/ Department of Marketing and Business Administration, Odessa I.I. Mechnikov National University, Odessa, Ukraine Оlena Sadchenko* Liliya Yakymyshyn Industrial Marketing Department, Ternopil Ivan Puluj National Technical University, Ternopil, Ukraine Svitlana Kovalchuk Department of Marketing and Trade Entrepreneurship, Khmelnytsky National University, Khmelnytsky, Ukraine Daryna Chernenko Accounting and Auditing, V. N. Karazin Kharkiv National University, Kharkov, Ukraine Anna Zaitseva International Economic Relations named after Arthur Golikov, Kharkiv National University named after V.N. Karazin, Kharkov, Ukraine Alla Dudnyk Department of Management, Dnipro University of Technology, Dmytro Yavornitskogo avenue, Dnipro, Ukraine In business, development is the key to success. If a company stands still, larger competitors will quickly lure all its customers. To prevent this from happening, the enterprise is being expanded, that is, it is scaling up the business. The article displays the prerequisites for scaling, the main ways, as well as what is necessary for expanding the business. A special role in scaling is played by modern marketing tools and automation of business processes. The article discusses how to simplify the strategy of scaling a business with the help of automation and the latest marketing tools. 11 30 2019 3889 3894 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8298.118419 https://www.ijrte.org/portfolio-item/D8298118419/ Research Scholar, Mechanical Engineering Department., NIT Calicut, India. Shaiju M.R.* Arun P. Associate Professor, Mechanical Engineering Department, NIT Calicut , India. S. Jayaraj Professor, Mechanical Engineering Department, NIT Calicut , India. Gas turbine-based power plants are found to play a vital role in electric power generation and act as spinning reserves for renewable electric power. A robust performance assessment tool is inevitable for a gas turbine system to maintain high operational flexibility, availability, and reliability at different operating conditions. A suitable simulation model of the gas turbine provides detailed information about the system operation under varying ambient and load conditions. This paper illustrates a systematic methodology for process history data-based modelling of a gas turbine compressor system. The ReliefF feature selection method is applied for the proper identification of the parameters influencing the compressor efficiency. Appropriate Artificial Neural Network (ANN) based models are developed for data classification and system modelling of the compressor. The model performance has been validated using actual plant operational data, and the standard deviation of the error in model output was found to be 0.38. A novel approach for suitable integration of data processing methods, machine learning tools and gas turbine domain knowledge has led to the development of a robust compressor model. The model has been utilized for the health assessment of an existing gas turbine compressor, demonstrated through an illustrative case study. The model has been found suitable for parametric analysis of compressor efficiency with operating hours, which is helpful for operational decision-making involving studies on the influence of part-load operation, compressor wash planning, maintenance planning etc. 11 30 2019 5069 5077 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8299.118419 https://www.ijrte.org/portfolio-item/D8299118419/ Department of Electronics and Communication Engineering, KCC Institute of Technology and Management, Greater Noida, India. Harshit Srivastava* Usha Tiwari Department of Electronics and Communication, Sharda University, Greater Noida, India. While the revolution in antenna engineering leads to the fast-growing communication systems, Microstrip Patch Antennas (MPA) have proven to be the most unconventional discovery in the epoch of miniaturization. This paper incorporates the designing, simulation, and analysis of rectangular & circular microstrip patch antennas. The resonating frequency of the proposed patch antennas is 9 GHz, lying in the X band region and are designed on Rogers RT/duroid 5880 material having dielectric constant 2.2, using Ansys HFSS software. The proposed MPAs were compared on the basis of five performance parameters (Return loss, Bandwidth, VSWR, Gain and HPBW). It was observed that rectangular MPA has a higher value of return loss, VSWR and HPBW than circular MPA. Whereas, circular MPA has greater bandwidth and gain than rectangular MPA. The proposed antennas can be used in radar, wireless and satellite applications. 11 30 2019 5078 5082 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8300.118419 https://www.ijrte.org/portfolio-item/D8300118419/ SC & SS, Jawaharlal Nehru University, New Delhi, India. Neeru Meena* Buddha Singh SC & SS, Jawaharlal Nehru University, New Delhi, India. Both connectivity and coverage are considered as the basic performance standards of the service yielded through a Wireless Sensor Network (WSN). Sensing field’s monitoring quality is represented through coverage. So, coverage represents the quality of tracking of the sensing field through the sensors. Connectivity exhibits the quality of the information delivery along with the sensor nodes, or to the base station. This paper aims for pre-estimation for the sensor numbers that are to be placed in an adverse situation for achieving required coverage. This paper promotes -coverage and -connectivity models that focuses on multipath effects as well as shadowing fading’s combined effect. The value of differs for different types of applications. For measuring the coverage and connectivity probabilities, in shadowing as well as multipath fading presence, a mathematical model is obtained. Moreover, the coverage and connectivity probability derivations which are derived with the help of lognormal shadowing fading as well as Rayleigh fading are approved through the deployments of nodes utilizing Poisson distribution. The simulation section of this paper clearly shows that coverage and connectivity are dependent on the density of node, fading parameters like the standard deviation, and path loss exponent. The sensing model proposed by us is proved to be more appropriate for realistic environment as sensor’s ideal quantity necessary in order to attain desirable coverage in fading conditions. 11 30 2019 5083 5091 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8302.118419 https://www.ijrte.org/portfolio-item/D8302118419/ Research Scholar, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India. Kota Venkateswara Rao* M. Shyamala Devi Associate Professor, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India. With the fast growing technology, the business is moving towards increasing their profit by interpreting the customer satisfaction. The customer satisfaction can be analyzed in many ways. It is the responsibility of the business to analyze the customer satisfaction in order to improve their turnover and profit. With the current trend, the customers are giving their feedback through mobile and internet. With this overview, this paper attempts to analyze the sentiment of the customer feedback for the movie. The sentiment Analysis on movie Review dataset from the KAGGLE Machine learning repository is used for implementation. The type of sentiment classes is predicted through the following ways. Firstly, the sentiment count for each class is displayed and the top feature words for each sentiment class are also extracted from the dataset. Secondly, the dataset is sampled with counting vectorizer and then fitted with the classifiers like Logistic Regression Classifier, Linear SVM Classifier, Multinomial Naives Bayes Classifier, Gradient Boosting Classifer, Guassian Naive Bayes Classifier, Random Forest Classifier, Decision Tree Classifier and and Extra Tree Classifier. Thirdly, the dataset is sampled with Hashing vectorizer and then fitted with the above specified classifiers. Fourth, the dataset is sampled with TFIFD vectorizer and then fitted with the above specified classifiers. Fifth, the dataset is sampled with TFIFD Transformer and then fitted with the above specified classifiers. Sixth, the Performance analysis of classifiers is performed by analyzing the metrics like Precision, Recall, Fscore and Accuracy. The implementation is carried out using python code in Spyder Anaconda Navigator IP Console. Experimental results shows that the analysis of sentiment done by the random forest classifier is found to be more effective with the Accuracy of 89% for Counting vectorizer and TFIFD transformer, Accuracy of 87% for Hashing vectorizer and Accuracy of 88% for TFIFD vectorizer. 11 30 2019 3895 3901 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8303.118419 https://www.ijrte.org/portfolio-item/D8303118419/ Scholar, Department of Computer Science, Jain University, Bangalore, India. Dr. Pritam Pavan Manjunath* Gajkumar Shah Department of Computer Science, Jain University, Bangalore, India. Michael Herrmann Research Scholar, Reutlingen University of , Stuttgart, Germany, The as most of the goods trucks in the developing nation are overloaded with goods, and this needs to be controlled via smart way. This can be achieved using the Smart Sensors and Internet of Things (IoT), as these are the emerging technologies. In these paper we propose the weight mounted sensors can dynamical give an accurate inputs about weight variation, the advantage of this system is that any extra goods or loads cannot be added while movement of the trucks, if any extra goods are been added then it can be alerted nonstop to the government agencies on the real-time or the weight on the trucks can be monitored by the central government organization. This paper will provide an integration of smart sensors and the Internet of Things (IoT) and Block Chain integration together on one platform, we propose in this paper using the block chain technology to encrypt the real-time data to the government database and this data is securely transferred or encapsulated in the block chain as block, these data cannot be modified by the cyber attacker. 11 30 2019 5686 5691 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8304.118419 https://www.ijrte.org/portfolio-item/D8304118419/ Industry Fellow at University of Petroleum and Energy Studies(UPES), Dehradun and pursuing Phd. In Management from Jyoti Vidhyapeeth Womens University –Jaipur,India Anirudh Kumar Singh* Vaibhav Mittal Student at University of Petroleum and Energy Studies, Dehradun and pursuing MBA in Oil and Gas from University of Petroleum and Energy Studies(UPES) , Dehradun,India Helical coil suspensions are used to absorb vibrations as vehicle moves on rough roads. As automobile industry demands for increased fuel efficiency, the designers emphasize on weight reduction of automobile components to the maximum extent possible without much compromise in strength. The current research analyzes the Hero Honda suspension subjected to bumps on roads and causing deformation and stresses on the component. Using Taguchi Response surface optimization, response surface plots and sensitivity plots are generated for stress and strain energy. From the response surface optimization, it is evident that nearly 23% of mass reduction is possible. The CAD modelling and analysis is conducted using ANSYS 18.1 software which is based on Finite Element Analysis and response surface optimization is also conducted on the same platform. 11 30 2019 5092 5095 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8305.118419 https://www.ijrte.org/portfolio-item/D8305118419/ VITBS, Vellore Institute of Technology, Chennai, India, Piyali Roy Chowdhury* Anuradha. A VITBS, Vellore Institute of Technology, Chennai, India Foreign Direct Investment (FDI) has been playing a crucial role in the development of Indian economy ever since liberalization.The role of FDI, hence, can be discussed from the point of one of much deliberated sectors, tourism, in this case. The current study, thus, is based on investigating an association between FDI, Foreign Exchange Earnings from tourism and per capita growth with respect to Indian economy for a period of 1996-2018. The analysis proves a cointegrating relationship between them throughAuto Regressive Distributed Lag (ARDL) Modelling Approach. It proves FDI to be an influential factor in enhancing foreign exchange earnings from tourism for inbound tourism industry and per capita economic growth. Through Error Correction Model, it is proved that the modelscancorrect seventy-seven- and eighty-three percent imbalances in short run. Applying Granger Causality approach, the study proves per capita economic growth granger causes FDI. Subsequently,is playing a major role in attracting foreign exchange earnings from inbound tourism in India.Finally, the study suggests certain policy measures for enhancing per capita growth that will ultimately promote FDI to augment conditions of tourism industry in Indian economy. 11 30 2019 5096 5102 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8306.118419 https://www.ijrte.org/portfolio-item/D8306118419/ Faculty of Business and Management Sciences, University Sultan Zainal Abidin (UniSZA),Terengganu, Malaysia. Umar Aliyu Mustapha* Norfadzilah Nik Mohd Rashid Faculty of Business and Management Sciences, University Sultan Zainal Abidin (UniSZA),Terengganu, Malaysia. Saheed Ademola Lateef Faculty of Business and Management Sciences, University Sultan Zainal Abidin (UniSZA),Terengganu, Malaysia Abdullahi Bala Ado Faculty of Business and Management Sciences, University Sultan Zainal Abidin (UniSZA),Terengganu, Malaysia An excellent relationship between corporate governance attributes and audit quality is another monitoring mechanism that enhances the reliability of financial information. Though, one of the strategies of achieving the qualitative audit is that auditors must be independent of mind and appearance. As such, an active board and audit committee may support in monitoring the reliability of an entity’s audit quality. The objective of this study is to investigate the effect of corporate governance attributes on audit quality for the Nigerian listed companies. The population of the study includes all the companies in the eleven sectors of the economy, excluding the financial sector from 2012-2017. The study used only sixty-three companies as a sample after filtration and screening. The data was obtained from the annual reports and accounts of the selected companies. Multiple regression was carried out in testing the relationships between the dependent and independent variables. The result of the regression highlighted an insignificant negative relationship for board independence and positive significant and negative significant for meetings and gender of the audit committee, respectively. Agency is the main theory employed, which is supported by earnings management theory. Thus, the findings support and contradict the theories. For the implication, this study provides clarification on the contributions of the board independence and audit committee meetings and gender towards the audit quality of the Nigerian listed companies, and this will help the users of the financial information and relevant scholars in literature development. 11 30 2019 4882 4886 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8313.118419 https://www.ijrte.org/portfolio-item/D8313118419/ IT, Imaging and Modelling of Complex Systems, Hassan University, Settat, Morocco. Sara AREZKI* Najoua FELLAH IT, Imaging and Modelling of Complex Systems, Hassan , University, Settat, Morocco Soukaina MIHI IT, Networks, Mobility and Modelling. Taoufiq GADI Computing, Imaging and Modelling of Complex Systems, Hassan, University, Settat, Morocco. The digitalization of Moroccan universities is an emergent subject that interest several researchers and professionals in information technologies. The digital challenge is becoming more and more crucial with the use of new technologies of information and communication. Universities put students at the center of their concerns and strive to offer them a high quality services. Several international initiatives have been taken in this direction [1] [2]. The Moroccan university, too, is part of this perspective and has many digital transformation plans in its projects portfolio [3]. However, we have never evaluated these initiatives from student’s perception and have never reported their progress. In this paper, we try to evaluate on a sample of students across different Moroccans institutions, their perceptions and opinions about the maturity of these deployed services. 11 30 2019 4364 4367 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8315.118419 https://www.ijrte.org/portfolio-item/D8315118419/ Associate Professor at the University of Trinidad and Tobago UTT, Department of Energy Systems. Adel Elgammal* This paper presents a new Design for an efficient Energy Management System (EMS) for a Plug-in Hybrid Electric Vehicle (PHEV) which is supplied by Fuel Cell/Super-capacitor/Battery sources to attain maximum energy savings and minimize the amount of the fossil fuel utilized by the transportation sector. Model Predictive Control (MPC) combined with Multi-Objective Particle Swarm Optimization (MOPSO) control strategy was proposed to manage the battery and the SC State of Charge (SOC) and decide the optimal power distribution between the Fuel Cell (FC), the Battery and the Super Capacitor (SC). The main target of the proposed EMS calculation technique is to achieve maximum energy efficiency, minimum battery current variation, minimum variation of the state of charge of the SC and minimum cumulative hydrogen consumption during the driving cycle. The proposed MOPSO based EMS methodology has been checked by the High Speed (US06) Driving Cycle utilizing the MATLAB/Simulink. Five diverse driving patterns are utilized to assess the speculation capacity of the developed technique. Simulation results and the real-time experiment demonstrate that the proposed MOPSO-Model Predictive Control based EMS technique can accomplish better energy effectiveness compared with Fuzzy Logic Rule-based EMS and GA-based EMS. 11 30 2019 4368 4380 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8316.118419 https://www.ijrte.org/portfolio-item/D8316118419/ School of Information Systems, Jakarta, Indonesia. Veronica* This study focuses on evaluating the success of information systems based on user satisfaction towards the ERP (Enterprise Resource Planning) application in PT. Bank XYZ, which in this case is the HR Application. This study adopted the Delone and McLean IS Success Model to test the relationship between variables (System Quality, Information Quality, Service Quality, Use, User Satisfaction and Net Benefits). The research data was obtained through literature reviews, interviews, and questionnaires with 175 respondents who were users of the HR Application at PT. Bank XYZ. The questionnaire data was analyzed using an SPSS (Statistical Package for the Social Science) program version 25. The analysis shows positive and significant results from the nine hypotheses. The results of the study addressed Service Quality, Use, and Net Benefits with an average of under 4.00 required development to improve employee satisfaction, which in this study there are recommendations for further development. 11 30 2019 5103 5108 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8317.118419 https://www.ijrte.org/portfolio-item/D8317118419/ Faculty of Economics & Management, Universiti Kebangsaan Malaysia, Selangor, Malaysia. Asyakireen Samsudin* Azman Ismail Faculty of Economics & Management, Universiti Kebangsaan Malaysia, Selangor, Malaysia. Effective supervisor support consists of two main features: emotional and instrumental support. Recent studies from the perspective of organizational climate which focus on the execution of such features among supervisors has a significant impact towards positive employee outcomes especially in their extra-role behavior. Even though this relationship has been widely explored, the role of supervisor support as a vital construct is still less discussed in the organizational climate literature. Therefore, this research was conduct to investigate the relationship between supervisor support and extra-role behavior. The data was collected using survey on 113 executives and non-executives from a telecommunication organization. The findings from the SmartPLS model analysis revealed that, extra-role behavior contributed to 31% variance on the proposed model. This shows that the ability of supervisors to provide emotional and instrumental support to employees has led to an increase in their extra-role behavior in the organization. The implications of this study in relation to theories, methodologies and organizational practitioners are also discussed. 11 30 2019 5109 5113 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8318.118419 https://www.ijrte.org/portfolio-item/D8318118419/ Department of Electrical & Electronics Engineering, JNTUA College of Engineering, Ananthapuramu, India. Buddapu Hari Sankar Reddy* K. Nagabhushanam Assistant professor(adhoc) in Electrical Department, JNTUA College of Engineering, Ananthapuramu, India. Dr R. Kiranmayi Assistant professor&HOD in Electrical Department, JNTUA College of Engineering, Ananthapuramu, India. Solar Photovoltaic (PV) system is pollution free energy source. PV panel have maximum power at unique point that point depends on temperature and irradiance of environment. Therefore it is necessary to track maximum power point for maximum efficiency. PV water pump system based on ANFIS controller produces poor performance under different irradiation and temperature condition. To improve performance of PV water pumping system PSOMPPT controller was implemented .compare the transient behavior of PV water pump by PSOMPPT with ANFIS based MPPT. 11 30 2019 5114 5122 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8319.118419 https://www.ijrte.org/portfolio-item/D8319118419/ Dept of Computer Applications,UCE, BIT Campus, Anna University,Trichy. S. Nalini* Dr.A. Valarmathi Dept of Computer Applications,UCE, BIT Campus, Anna University,Trichy. A wireless sensor network is the new generation technology that holds the capability and it has transformed to interact with the physical environment according to the user’s demands. The features of a sensor network play the major role in various application fields that fit in the broad category for tracking, monitoring, automation and detection and in that category WSN plays the predominant role in event monitoring. Event detection in sensor networks is the process of observing; evaluating an event based on multiple attributes and generates an alarm at the appropriate time. A framework was developed to detect the event in in-door environment. The proposed event detection model comprises of three phases. In the first phase the network id grouped and cluster head is determined and subsequently composite model was developed to determine the event and the final phase involves in the fuzzy rule optimization. A simulation setup has created and the experimental evaluation validates the event detection mechanism through various metrics such as cluster communication, event accuracy are measured and evaluated. The results are compared with the energy efficient HEED algorithm and connected dominating set based cluster MCDS-CCH algorithm further the composite event detection mechanism with optimization rule outperforms than the well-established J48 decision tree classification algorithm. 11 30 2019 5123 5128 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8320.118419 https://www.ijrte.org/portfolio-item/D8320118419/ Research Scholar, Faculty of Computer Applications Department, MRIIRS, Faridabad (India) Sakshi Jolly* Dr. Neha Gupta Associate Professor, Faculty of Computer Applications Department, MRIIRS, Faridabad (India) Distance metrics for different kinds of data we daily use is the common approach for indentifying the insights of information and identifying the noisy and resolving the information with different scenarios and rules. The methodology imposed here is different in kinds of rules and the information we provide to the knowledge machine is the most important and considerable thing in designing and implementing distance metrics. The contradictory data is mixed information which the dataset includes is having the irrelevant information with the relevant information and identifying the novel thing from the information gathered. The information and the data gathered will be in the form of different formats of data and the most frequent thing we use is to make the clusters. In this article machine learning applications and the different data mining distance metric algorithms will be discussed and the information passed to the machine will be the ultimate and the dataset making is the quite challenging. In machine learning implementation the path of identifying the concept behind the everything to be predicted. The prediction works when the data is accurate and the information we get from the different repositories. All the data captured is not genuine and the combination of different such kind repositories make the contradicting data. The usage the additional distance metrics to manipulate and calculate the relation between the variables or the features we are considering. The machine learning is the finite mechanism which can help the researchers to identify the relationships between the variables or there is chance to find the inner relations among this kind of contradictory information. Contradictory data can help to identify the inner relations which can’t be identified with normal distance metrics and here used a little advanced and succeeded in reaching the optimal result. 11 30 2019 5692 5696 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8322.118419 https://www.ijrte.org/portfolio-item/D8322118419/ Ph.D., Director of Quality Assurance and Assistant Professor, Electronics Engineering Technology, Technological University of the Philippines, Manila, Philippines. Ralph Sherwin A. Corpuz In the field of mobile robotics, path planning is one of the most widely-sought areas of interest due to its nature of complexity, where such issue is also practically evident in the case of mobile robots used for waste disposal purposes. To overcome issues on path planning, researchers have studied various classical and heuristic methods, however, the extent of optimization applicability and accuracy still remain an opportunity for further improvements. This paper presents the exploration of Artificial Neural Networks (ANN) in characterizing the path planning capability of a mobile waste-robot in order to improve navigational accuracy and path tracking time. The author utilized proximity and sound sensors as input vectors, dual H-bridge Direct Current (DC) motors as target vectors, and trained the ANN model using Levenberg-Marquardt (LM) and Scaled Conjugate (SCG) algorithms. Results revealed that LM was significantly more accurate than SCG algorithm in local path planning with Mean Square Error (MSE) values of 1.75966, 2.67946, and 2.04963, and Regression (R) values of 0.995671, 0.991247, and 0.983187 in training, testing, and validation environments, respectively. Furthermore, based on simulation results, LM was also found to be more accurate and faster than SCG with Pearson R correlation coefficients of rx=.975, nx=6, px=0.001 and ry=.987, ny=6, py=0.000 and path tracking time of 8.47s. 11 30 2019 3902 3910 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8324.118419 https://www.ijrte.org/portfolio-item/D8324118419/ Department of Mechanical Engineering, CMR Technical Campus, Hyderabad, India. A Praveen kumar* L. Ponraj Sankar Department of Civil Engineering, CMR Institute of Technology, Hyderabad, India. D. Maneiah Department of Mechanical Engineering, CMR Technical campus, Hyderabad, India. B. Raju Department of Mechanical Engineering, CMR Technical campus, Hyderabad, India. To mitigate the impact forces in crash events, thin-walled tubular elements are employed as an energy absorbing attenuators in frontal part of the automotive vehicles. To develop more progressive deformation modes, at the initial period, and to absorb more impact energy at the final period of crash, it is significant to enhance the crashworthiness performance of the tube by modifying its geometrical parameters. Multi-cell tubular structures have recognized to own superior impact energy absorbing ability and lightweight effect in the modern automotive vehicles. This research article examines the deformation behaviour of thin walled aluminum alloy multi-cell tube with different stiffeners exposed to axial impact loading using numerical simulation. Nonlinear impact simulations were performed on multi-cell tubes using finite element ABAQUS/CAE explicit code. From the overall results obtained, the deformation behaviour of multi-cell tubes was compared. Furthermore, hexagonal tubes with stiffeners were retained as most prominent for better energy dissipation. This type of tube was found to be most efficient type to enhance the crashworthiness performance during axial impact. 11 30 2019 3911 3915 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8325.118419 https://www.ijrte.org/portfolio-item/D8325118419/ Department of Information Technology, Easwari Engineering College, Ramapuram, Chennai 600 089 India Dr.R. Priyatharshini* Aswath Ram. A.S Department of Electrical and Electronics, Easwari Engineering College,Ramapuram, Chennai 600 089.India R. Shyam Sundar Department of Information Technology, Easwari Engineering College,Ramapuram, Chennai 600 089.India G. Nethaji Nirmal Department of Information Technology, Easwari Engineering College,Ramapuram, Chennai 600 089.India The recognition of real-world objects demands the recognition and characterization of digital image samples. Automated methods for the detection and recognition of entity types have many significant commercial and industrial applications. While deep convolution neural networks (CNN) and machine learning (ML) concepts have contributed to the classification of globe items, they cannot fully scale the reliance of powerful GPUs to classify the key attributes of images. By using a Recurrent Neural Network (RNN) we tend to resolve the issue arisen in the previous systems. In particular, a hybrid approach using R-CNN and RNN has been proposed that improve the accuracy of object recognition and learn structured image attributes and begin image analysis. Specifically, we applied the transfer learning approach to pass the load parameters which were pre-trained on the Image web dataset to the RNN portion and follow a custom loss feature for the model to train and test more rapidly with precise weight parameters. Experimental results show that in comparison to CNN models like Resent, origin V3, etc., our proposed model achieved improved accuracy in categorizing universe pictures. 11 30 2019 2813 2818 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8326.118419 https://www.ijrte.org/portfolio-item/D8326118419/ Master’s Student, Structural Engineering, Anurag Group of Institutions (An Autonomous Institution), Venkatapur, Hyderabad, Telangana, India Ifteqhar Ahmed Khan* Dr.B. Narender Associate Professor, Structural Engineering, Anurag Group of Institutions (An Autonomous Institution), Venkatapur, Hyderabad, Telangana, India. Rapid increase in manmade and natural disasters can lead to structural instability which triggers the partial or complete collapse of the building. These manmade disasters include gas cylinder explosion or terrorist attack or instant removal of the primary structural element which leads to the progressive collapse of the building. To avoid the progressive collapse of building due to man-made disasters, incorporate the mechanism which resists the man-made disaster while the design for existing or newly constructing building. In this paper, an attempt is made to understand the effect of with and without providing steel bracing at various positions column removal in multi-storey building one at a time as per General Service Administration and Unified facilities criteria codes. The propagation of progressive collapse with and without the effect of steel bracing is studied in this paper. A seven-storey RC building is modelled and analysed for various column removal scenarios in SAP 2000 software. The Loads are applied according to General Service administration and Unified facilities criteria guidelines, column removal positions namely centre, edge and corner column removal at ground floor are also considered from guidelines. The three scenarios are then analysed individually as a bare frame, bare frame with steel bracing in the wall and bare frame with steel bracing in the slab. Push down analysis is carried out on models and results of mode shapes, time periods, force Vs displacement curves, plastic hinge deformation are discussed. From results, it is observed that wall bracings have better performance in all three and can help in arresting the progressive collapse from spreading throughout the building. 11 30 2019 3916 3921 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8327.118419 https://www.ijrte.org/portfolio-item/D8327118419/ Sekolah vokasi Electrical Engineering Department at Universitas Muhammadiyah Yogyakarta, Indonesia. Nur Hudha Wijaya* Rahmat Jalaluddin Sekolah vokasi Electrical Engineering Department at Universitas Muhammadiyah Yogyakarta, Indonesia. Susilo Ari Wibowo* Sekolah vokasi Electrical Engineering Department at Universitas Muhammadiyah Yogyakarta, Indonesia. Heart monitoring is needed in order to know the patient’s heart condition. In monitoring, storage media of heart monitor result is needed in order to help doctors and paramedics examine the patients. Therefore, a research to plan and create logger data system of heart signal as a modification of electrocardiograph was conducted. This research used amplifier, active High Pass Filter, active Low Pass Filter, Noch Filter, summing adder, and Microcontroller, and Delphi 7 Software to make interface program on personal computer. Heart Rate score (BPM) on 2x16 LCD indicated final error of 2,8%. Meanwhile, the final error of Software module was 1,4%. The measurement of lead II R signal amplitude resulted the final error of -4,5% and the final error on the distance length from R to R was -1,1%. Heart Rate score (BPM) with two human samples indicated error on sample one on sitting position of -3,8% and on sample two -6,3%, Sample one on Standing Position 2,9% and sample two -4,1%, Sample one on Roll Call -1,7% and sample one -8,4% and sample one on running in place -4,6% and sample two 4,1%. The result reading on Delphy 7 Software the errors were -0,3% on sample one and -6,5% on sample two. On standing position, sample one was -0,6% and sample two -2,2%, roll call position for sample one 1,7% and sample two -8,4%, and running in place for sample one 4,1% and sample two 3,3%. The score of R signal amplitude and the distance length from R of R on human sample indicated error for amplitude in sitting position -9,6%, standing -1,3%, roll call -3,0%, running in place -5,9%. The error on distance from R to R on sitting position was -5,9%, standing -17,3%, roll call 6,7%, and running in place 13,8%. 11 30 2019 2819 2824 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8328.118419 https://www.ijrte.org/portfolio-item/D8328118419/ department, Department of Electrical Engineering, MANIT, Bhopal, India Shiwani Rai* Mukesh Kumar Kirar Department of Electrical Engineering, MANIT, Bhopal, India. Yogendra Kumar department, Department of Electrical Engineering, MANIT, Bhopal, India. At distribution side most type of loads connected are non-linear types. These loads adversely affect the power quality of the system. If not rectified at times they may distort the sine wave at source side. This paper presents a power quality conditioner which is designed using multi-level inverter (MLI). The advantage that the proposed MLI has over conventional one is that it requires less number of components as compared to the conventional. Also it improves the utility profile by improving harmonic content at output side. The proposed MLI based Unified power Quality Conditioner (UPQC) improves the grid profile at non-linear loading by prohibiting the propagation of high content harmonic load current at source side. The proposed topology has inherent active filtering capability by virtue of which there has been seen a good mitigation of power quality issues at point of common coupling. Comparative analysis of the proposed topology with the conventional MLI is also presented. The comparison of results is also presented in terms of linear and non-linear loading in a UPQC compensated distribution system. 11 30 2019 5129 5135 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8329.118419 https://www.ijrte.org/portfolio-item/D8329118419/ Research Scholar, Design and Automation, VIT University, Vellore, Arun Kumar K * Mallika Arjuna Reddy D Associate Professor, Design and Automation, VIT University, Vellore India. In this paper tunable Q-factor wavelet transform is implemented into damage identification. Fixed – Fixed beam damage identification problem is demonstrated. Translation and Rotational mode shapes are used as an input signal, the TQWT algorithm depends Q-factor and asymptotic redundancy, when it matches with the oscillatory behavior of the input signal it is tuned. This method decomposes a signal into a high-Q-factor and low-Q-factor component, and it can be used to differentiate the damaged and undamaged mode shapes of the beam structure. TQWT coefficient is used as damage index to locate and quantify the damage. Proposed method evaluated experimentally and results shows TQWT algorithm has a potential to detect even a small damage (10% stiffness loss) present in the structure. 11 30 2019 5136 5146 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8332.118419 https://www.ijrte.org/portfolio-item/D8332118419/ (Dalhousie University) & PhD Student, CEFOR-ACE, World-Bank University of Port-Harcourt, Nigeria. Abisoye M. Mumuni Oyinkepreye O. Orodu Professor, Head of Department, Petroleum Engineering, Covenant University, Nigeria. Sunday S. Ikiensikimama Associate Professor, Department of Petroleum & Gas Engineering, University of Port Harcourt, Nigeria. The optimal time to sidetrack into a different layer from an already producing horizon with secondary recovery mechanism of waterflooding is evaluated with the uncertainties embedded in Probabilities of success (POS) including economic, operational, technical and reservoir properties. Previous literatures are majorly primary recovery and secondary recovery by waterflooding in which production profiles were represented by empirical and analytical models. However, not all recovery mechanisms can be sufficiently reproduced by these models and this introduces and explains the need for the use of proxy models to predict cumulative production and net-present-value (NPV). The peculiarity of this study is the application of decision analysis/tree with multiple terminal branches to both production and injection sidetrack, where NPV is estimated under the influence of change of recovery mechanism due to sidetrack (recompletion) to another possibly non-communicating zone or layer with uncertainty of reservoir properties and production discontinuity from the already producing horizon. By and large, sidetrack time adds in acute non-linearity on the NPV. Multi–objective functions of proxy models over time-intervals for the impacted terminal branches, known as split design was applied to evaluate when to carry out a well sidetrack operation under risk and uncertainty. This was adopted to resolve severe non-linearity of the NPV and the multi-objective function of EMV by a standard optimization algorithm in a spreadsheet. The final results gave a satisfactory match to the simulation results. In order to get a perfect match through more improvements on performance there is a need for large computation times and the decision must be made depending on the required result. Monte- Carlo simulation analysis shows that optimal sidetrack time is at the early production life. 11 30 2019 6571 6583 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8333.118419 https://www.ijrte.org/portfolio-item/D8333118419/ School of Mechanical engineering, Reva University, Bengaluru, India. Richa Tripathi* Akshay Simha Department of Mechanical Engineering , Acharya Institute of Technology, Bengaluru, India. Harshith C Department of Mechanical Engineering, Acharya Institute of Technology, Bengaluru, India. It so happens that microcontrollers tend to get heated by immense temperature effects due to environmental changes and disturbances. Many microcontrollers have thermal temperatures ranging from 10 °C to 50 °C. In this study, design and thermal analysis of microcontroller are presented where systems operate on ARDUINO microcontroller. Microcontrollers are used for automation and robotics applications. Various industrial applications can use this microcontroller in the future by using IoT principles. Hence, there is a need for thermal analysis of the microcontroller. Arduino UNO is taken for study. The effect of various factors such as thickness and length of PCB were studied. Throughout the study, it was observed that there is a 50-60% achievement in heat dissipation with the modified microcontroller. 11 30 2019 4381 4384 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8335.118419 https://www.ijrte.org/portfolio-item/D8335118419/ Research Scholar, Dept. of Mechanical Engg., REVA Institute of Technology & Management, Bengaluru, Karnataka, India. Jaikumar Methre* Sharanappa Godiganur Professor, School of Mechanical Engineering REVA University, Bengaluru, Karnataka, India. Veerbhadrappa Telgane Assistant Professor, School of Mechanical Engineering REVA University, Bengaluru, Karnataka, India. The present experimental study examines the impact of aluminium oxide nanoparticles (ALN) as additives in chicken waste oil biodiesel on a single cylinder diesel engine performance and emission characteristics. Different dosage of ALN was blended with chicken biodiesel (CB) using ultrasonic mixing in 200th by volume of biodiesel. The performance and exhaust emissions were evaluated using 100ppm, 150ppm and 200ppm aluminium oxide nanoparticles dosages blended chicken biodiesel for different brake power at a constant speed of 1500rpm and compared the results with diesel(B0) and 20% by volume of chicken biodiesel (CB20). Increased brake thermal efficiency and reduced brake specific fuel consumption were observed with the addition of aluminium oxide nanoparticles as compared to biodiesel blend and diesel at 3/4th of load. Also, reduced emissions hydrocarbon and carbon monoxide and increased NOX with ALN at full load. Overall, biodiesel with aluminium oxide nanoparticles improved the diesel engine performance and emissions characteristics with a slight increase in NOX. 11 30 2019 2825 2829 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8336.118419 https://www.ijrte.org/portfolio-item/D8336118419/ School of Mechanical Engineering, REVA UNIVERSITY, Bangalore, India. Channabasav* Dr Sharanappa Godignur School of Mechanical Engineering, REVA UNIVERSITY, Bangalore, India. Recently external flow over body creates more interest of study because flow characteristics are dominated by complex phenomenon like separation and transition.in this paper turbulent flow over a 2-D prolate spheroid (6:1) is consider for analysis. Generation of surface grid around prolate spheroid by using grid generation code MESHGEN. Laminar and turbulent Flow past given geometry is simulated by Navier-stoke code RANS3D by second order upwind scheme for convective flux discretization by k-ε model for different Reynolds number, angles of attack .It is observed that the value of drag coefficient is lower than that of a cylinder due to its more streamlined contour. The variation of Cd was steeper in the laminar range than the turbulent range due to the effects of viscous forces being greater in laminar flow. 11 30 2019 4646 4651 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8338.118419 https://www.ijrte.org/portfolio-item/D8338118419/ Research Assistant, Department of Vehicle Engineering, National Taipei University of Technology, Taipei City, Taiwan. Mahendra Babu Kantipudi* Rajesh Babu Chunchula Assistant Professor, School of Mechanical Engineering, REVA University, Bangalore, INDIA Regular fuel-based vehicles are more reliable because of their rich looks, flexibility, influence, and preferred effectiveness over non-traditional electrical vehicles. Building a green vehicle is a test given the constraint in power transformation. The energy transfer rate of a sun-oriented power vehicle is less. In this proposition, this paper has endeavored to cover every one of the parameters and components influencing the manufacture of a sun-oriented controlled vehicle. Computer-aided engineering/design has played a significant job to accomplish the execution objectives of the vehicle. The present work visualize utilizing both sunlight based and electric forces to impel the vehicle since sun based power transformation is not enough to meet the complete power necessities. Considering weight, strength, and ergonomics an optimal chassis was designed. Then the chassis frame analyzed for different ride conditions. The suspension system and other vehicle systems were designed by following basic vehicle conditions and analyzed the components. Finally, the performance of the vehicle was estimated. According to those estimations, this vehicle is very much suitable for on-campus transport application. This design is just to give a brief idea to develop the solar-based electrically driven vehicles 11 30 2019 2830 2834 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8339.118419 https://www.ijrte.org/portfolio-item/D8339118419/ Department of Mechanical and Manufacturing Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Udupi, 576104, Karnataka, India. Nithesh Naik* Dheeraj Gosangi Department of Aeronautical & Automobile Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Udupi, 576104, Karnataka, India. Revati Borkhade Department of Aeronautical & Automobile Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Udupi, 576104, Karnataka, India. Ritesh Bhat Department of Mechanical and Manufacturing Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Udupi, 576104, Karnataka, India. *Dasharathraj K Shetty Department of Humanities and Management, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Udupi, 576104, Karnataka, India. Samuel Schumann Faculty of Mechanical Science and Engineering, Technische Universität Dresden, Dresden Germany, Development of vehicles with the highest safety standards and lowest carbon emissions has been one of the primary goals of the automobile manufacturers. One of the methods of achieving higher fuel efficiency is by reducing vehicle weight by minimizing the unsprung weight without compromising strength and driver comfort. The study presents the behavior of the double-bolted-end joint semi-elliptical leaf spring that is generally used in the rear suspension of lightweight cars and commercial vehicles. 65si7 grade steel is conventionally used in the above leaf springs. The study evaluates the stress distribution, deflection and fatigue life assessment of leaf springs made up of glass epoxy (62% glass fiber), carbon epoxy (40% carbon fiber), and aluminum graphite (5% graphite). The results are compared with 65si7 steel leaf spring and analysed. The analysis performed showed a weight reduction of 76.4 %, 81.1%, 65.8% respectively. The first natural frequency was approximately 1.2 times greater than the road frequency. The simulated results for fatigue life cycles of leaf spring (10e5 cycles) was observed, whereas, for the conventional steel leaf spring (2e5 cycles) was observed. The results suggest the material aluminum graphite (5% graphite) will be the best replacement, considering the overall weight to strength ratio and cost. 11 30 2019 5147 5150 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8341.118419 https://www.ijrte.org/portfolio-item/D8341118419/ Assistant Professor in Mathematics Education, Mar Osthatheos Training College, Perumpilavu, , Kerala. Varghese P I* K.B. Jasmine Suthanthira Devi Head of the Department of Education at PRIST Deemed to be University, Thanjavur Campus. Student’s achievement in a particular subject depends on his/her interest in that particular subject. This present study is to find out to what extent Mathematical Interest of Higher Secondary first year students is related to their achievement in Mathematics. The investigator adopted normative survey method for the study. Stratified random sampling technique was used to collect 100 samples of first year Higher Secondary students of both Government and Aided Higher Secondary Schools in the central coastal area of Kerala. The statistical techniquesPearson’s Product - Moment Correlation analysis employed. 11 30 2019 4385 4389 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8344.118419 https://www.ijrte.org/portfolio-item/D8344118419/ Head and Research Fellow, Department of Centre for Regulatory Studies Governance and Public Policy (CRSGPP), West Bengal National University of Juridical Sciences (WBNUJS), Kolkata, India Dr. Shambhu Prasad Chakrabarty* Dr. Jayanta Ghosh Research Fellow, Department of Centre for Regulatory Studies Governance and Public Policy (CRSGPP), West Bengal National University of Juridical Sciences (WBNUJS), Kolkata, India Dr. Bhupal Bhattacharya Assistant Professor, Department of Amity Law School, Amity University Kolkata, Kolkata, India Dr. Santanu Panda Research Associate, Department of Centre for Regulatory Studies Governance and Public Policy (CRSGPP), West Bengal National University of Juridical Sciences (WBNUJS), Kolkata, India Indigenous and tribal rights have always been neglected in almost all jurisdictions across the world. The international movement has however gained momentum in the last few decades with the turn-around construed by ILO 169. The indigenous movement subsequently reached a significant level with the UNDRIPS. Thirty years after the Convention No. 169 only 23 countries have ratified the convention. Like most signatory countries, India has not ratified this convention and still carries on with the outdated ILO 107 which was criticized as a historic blunder. Like most nations India is also bound to submit the UPR but unfortunately none of the UPRs discusses in details the condition of tribal communities in India. This research studies the socio-economic scenario of tribal peoples in West Bengal. Some perception of the employees, Social worker, NGO professional have been made and a set of recommendation follows for better implementation of development schemes and livelihood. 11 30 2019 12317 12326 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8346.118419 https://www.ijrte.org/portfolio-item/D8346118419/ Master’s degree student of Information Systems Department in Binus University Kristianto* Natanael Alamas Master’s degree student, Information Systems Management Department in Binus, University. Jarot S. Suroso Senior lecturer, Information Systems Management Department in Binus University. The use of digital technology nowadays makes data and information become vital part of any organization. Non-profit organization, such as Archdiocese of Jakarta, also relies on system to do their work and services for Catholic people under their jurisdiction. BIDUK system is used by Archdiocese of Jakarta as information system to administrate and provide service to people. Its information also used as tools for decision making. Currently, there is no proper information security risk management method used for BIDUK system, which is important system for Archdiocese of Jakarta. This study’s objective is to propose a IS risk management method that can be used to manage risks for BIDUK system. This study proposes OCTAVE Allegro method because of its simplicity and suitable for small organization. After following every IS risk management phases of OCTAVE Allegro, we found that this method is suitable to be used to manage risks of BIDUK system. 11 30 2019 4390 4395 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8349.118419 https://www.ijrte.org/portfolio-item/D8349118419/ Department of Economics, Mahapurusha Srimanta Sankaradeva Viswavidyalaya Kalongpar, Nagaon (Assam), India Dr. Biman Kumar Nath* Street vending constitutes an important segment of urban labour market for a temporary source of subsistence self employment in India since time immemorial. The benefit of street vending is that, employment can be created without adequate government intervention except some regulatory mechanism like municipal board or parking fee etc. But, the income generated from such employment cannot be sustainable in most of the hilly areas of North Eastern States (NES) as it can provide only a bare minimum amount of income especially in the lower circuit of urban informal sector. In addition, women in such employment are really vulnerable when they are mostly engaged in vegetable vending like occupations in small hill towns. The present study seeks to understand the income and employment pattern of women engaged in vegetable vending in Haflong town of Assam. Haflong town is located in erstwhile North Cachar Hills (presently Dima Hasao district) of Assam. The survey has been conducted with pre tested schedule among thirty women vegetable vendors in the town to understand the income, vulnerability and empowerment pattern of the sample respondents. It is found that vulnerability and livelihood situation of the sample women vegetable sellers are not in a decent condition. By using basic statistical tools, from the discussion, it can be deduced that there is urgent need for facilitating access to suitable and adequate space, institutional credit, social security and skills to the urban vegetable women vendors. 11 30 2019 5151 5154 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8350.118419 https://www.ijrte.org/portfolio-item/D8350118419/ research scholar, school of computing, sastra university, thanjavur C. Jayakumar* J. Sangeetha assistant professor, school of computing, sastra university, thanjavur A novel time frequency analysis method was proposed by N.E.Huang known as Hilbert Huang Transform which, can be used for analyzing and processing real world signals. The Intrinsic Mode Functions (IMF) is the key part of this algorithm, in this part the empirically decomposed signal data points uses the cubic spline interpolation for connecting maximum and minimum points to connect lower and upper envelope of the processed signal. This paper presents the real time architecture for hardware implementation of natural cubic spline interpolation. The architecture of proposed cubic spline is using the properties of continuous cubic and linear polynomials. The experimental results showed that our proposed architecture gets better result than previous proposal implemented on Spartan 6 based FPGA board. 11 30 2019 4014 4017 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8351.118419 https://www.ijrte.org/portfolio-item/D8351118419/ Department of the German Language Philology, Odessa I. I. Mechnikov National University, Odessa, Ukraine Natalia Kolesnichenko* Inna Osadchenko Pedagogy and Educational Management Department, Pavlo Tychyna Uman State Pedagogical University, Uman, Ukraine Svitlana Yashnyk Department of Psychology, National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine Valentyna Kharlamenko Vocational Education Management Department, National Aviation University, Kyiv, Ukraine Valentyna Slipchuk Department of Medical and General Chemistry Bohomolets, National Medical University, Kyiv, Ukraine Nadiia Gramatyk Department of General Pedagogy, Pre-school, Primary and Special Education, Izmail State Humanitarian University, Izmail, Ukraine In the conditions of modern reality, when the acquired knowledge can become outdated before the learning process ends, the methods in which the students have the opportunity to develop as individuals, improving their competencies become especially important. The article discusses the approach of using the methods of educational psychology to create a learning environment that stimulates students to personal development by improving their own skills and abilities. In order to implement this methodology in practice, emphasis is placed on potential problems that may arise during its implementation, as well as ways to increase its effectiveness are indicated. The methodology is based on the use of educational psychology and should be adapted to the specifics of a particular educational process. The article also describes the basic principles that teachers should be guided by when working with this technique. 11 30 2019 4018 4023 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8353.118419 https://www.ijrte.org/portfolio-item/D8353118419/