-4d90550d17f4602e089-5e24 20220331081553188 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 Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Malaysia. Leong Chee Yau* Wan Fathul Hakim W. Zamri* Dept. of Mechanical and Manufacturing Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Malaysia. Muhammad Faiz Md Din Dept. of Mechanical and Manufacturing Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Malaysia. Intan Fadhlina Mohamed Dept. of Mechanical and Manufacturing Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Malaysia. Azman Ahmad Dept. of Mechanical and Manufacturing Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Malaysia. https://doi.org/Contact%20pressure%20has%20a%20great%20influence%20on%20the%20realiability%20and%20the%20life%20of%20ball%20bearings.%20However,%20most%20of%20the%20previous%20contact%20and%20wear%20model%20mainly%20focussed%20on%20the%20elastic%20model.%20In%20this%20paper,%20considering%20the%20contact%20between%20ball%20bearing%20and%20inner%20ring,%20both%20elastic%20and%20elasto-plastic%20contact%20model%20are%20established%20to%20investigate%20the%20contact%20behaviour%20on%20ball%20bearing.%20Three%20types%20of%20materials%20have%20been%20used%20to%20compare%20the%20contact%20behaviour%20which%20are%20bearing%20steel,%20silicon%20nitride%20and%20aluminium%20oxide.%20Aluminium%20oxide%20experienced%20highest%20maximum%20contact%20pressure%20for%20elastic%20model%20while%20silicon%20nitride%20experienced%20highest%20maximum%20contact%20pressure%20for%20elasto-plastic%20model.%20The%20stress%20contour%20of%20elastic%20model%20was%20elliptical%20shape%20while%20elasto-plastic%20model%20was%20elliptical%20shape%20before%20the%20material%20yields. 03 30 2020 3622 3629 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8055.038620 https://www.ijrte.org/portfolio-item/F8055038620/ Senior Lecturer, Universiti Sains Islam Malaysia. Avylin Roziana Mohd Ariffin* Environmental Management Accounting (EMA) is an extension to the traditional management accounting that helps the managers to identify environmental costs and realize the impact of their operation towards the environment. The adoption of this practice is critical in order to address environmental issues. However, as most of the practice of EMA is underutilized and diverse, further promotion is needed if it is to help the business to move towards sustainability. Surprisingly, even those firms which are regarded as being more environmentally-sensitive are not necessarily to use environmental management accounting. This has led to the literature gap pertaining factors that influence firms to apply environmental accounting. Therefore, this research is interested in extending the focus of EMA adoption in environmentally sensitive industries and understands the factors influencing them. Based on Diffusion of Innovation (DOI) perspective, this study attempts to look at how accountants perceived EMA and how this may affect the adoption of the system. By utilising a survey, questionnaires were mailed to the accountants of public listed companies in Malaysia. Six attributes namely the cost, relative advantage, compatibility, complexity, compatibility and trialabilty are tested in this paper to determine the motivations of EMA adoption. The findings of the study are expected to explain the conditions that facilitate the implementation of the practice and help to provide ways to increase the adoption rate among companies. 03 30 2020 3186 3189 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8057.038620 https://www.ijrte.org/portfolio-item/F8057038620/ Assistant Professor, Kongu Engineering College, Perundurai, Erode, Tamilnadu, India. Mrs. Priyanka Prabhakaran* Dr. S. Anandakumar Professor and Head, Department of Civil Engineering, Kongu Engineering College, Perundurai, Erode, Tamilnadu, India. The study revolves around effective quality practices embraced along the construction of a rapid transit system at the Chennai airport station concerning managers and comfort level satisfaction. It also aims to compare various dimensions of quality practices and satisfaction levels. A Dimensional survey on engineers and metro users was made and analyzed using SPSS software. The study includes mid-level managers and users of the rapid transit system at Chennai, Tamilnadu. The study has tracked down ten dimensions of quality practices such as work hardness, material standards, materials rates, alternate methods, design criteria, safety nature, structural efficiency, work efficiency, labour & work time, job satisfaction to mid-level Manager’s job satisfaction. The study also identified the other ten dimensions such as traffic reduction, Reach on-time, Smart ticketing system, female coach, daily waver Fare, Vehicle strand area, elevators, Frequency of trips, workplace access, Rider Comfort concerning Metro User's satisfaction. Besides, the study also confirmed that there is a significant impact on the reduction in Traffic reduction, On-Time, Smart ticketing system and Vehicle Strand area. The critical dimensions of the study may help the stakeholders & management to implement effective quality practices in the construction works of rapid transit systems and Services Offered to the Public community. 03 30 2020 2103 2107 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8060.038620 https://www.ijrte.org/portfolio-item/F8060038620/ Assistant professor in Anil Neerukonda Institute of Technology & Sciences, Visakhapatnam Dr. K. Suresh Mrs. K. Chandusha Assistant professor in Anil Neerukonda institute of Technology & Sciences, Visakhapatnam. The data mining algorithms functioning is main concern, when the data becomes to a greater extent. Clustering analysis is a active and dispute research direction in the region of data mining for complex data samples. DBSCAN is a density-based clustering algorithm with several advantages in numerous applications. However, DBSCAN has quadratic time complexity i.e. making it complicated for realistic applications particularly with huge complex data samples. Therefore, this paper recommended a hybrid approach to reduce the time complexity by exploring the core properties of the DBSCAN in the initial stage using genetic based K-means partition algorithm. The technological experiments showed that the proposed hybrid approach obtains competitive results when compared with the usual approach and drastically improves the computational time. 03 30 2020 1973 1979 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8061.038620 https://www.ijrte.org/portfolio-item/F8061038620/ Research Scholar, FCA - Faculty of Computer Science and Applications, Charotar University of Science and Technology, Changa, India. Hetal Barad* Atul Patel* FCA - Faculty of Computer Science and Applications, Charotar University of Science and Technology, Changa, India. In the area of medical imaging technology, advances in Artificial intelligence (AI) delivers promising solutions with higher accuracy. For healthcare solutions, medical images provides a systematic way for diagnosis the diseases earlier and make treatments more effective. Machine learning and deep learning are rapidly grown fields of AI that may apply to many domains including image processing, speech recognition and text understanding. As MRI image segmentation is a key task for identification of brain anomalies, a fast and reliable technique is essential for increasing the survival ratio of affected patients. Manual segmentation of the brain MRI image involves more time and it may subject to inaccuracies. Hence, AI approaches and algorithms have been developed for tumor segmentation. This paper contains the detailed study of the available methods of machine learning and deep learning for brain tumor identification and classification through MRI image segmentation. It discusses and summarizes the methodologies and its results available for classification of brain tumor. 03 30 2020 2886 2891 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8062.038620 https://www.ijrte.org/portfolio-item/F8062038620/ Principal in-charge Government Polytechnic Sheikhpura, Bihar Dr. Kamal Kishore Pathak* The world presently depends heavily on non-renewable sources of energy like crude oils. These conventional energy sources have certain limitations, that is, they will eventually run out, fuel prices can rise without warning and most importantly growing environmental concerns over the climate change associated with the release of CO2 on burning fossil fuels[1]. Renewable energy is the key to a clean energy future. In the last few decades, solar energy is the fastest growing renewable energy source[2]. We can harness this energy of the sun in increasing the efficiency of our automobiles. Forced induction system (supercharger and turbocharger) in automobiles helps in the improvement of the efficiency of internal combustion engines by pushing extra atmospheric air into the cylinder which results in the proper combustion of fuel and thus reducing the smoke from the exhaust gas. Conventional Supercharger draws power from the engine and though the overall mechanical efficiency is increased but some energy is lost in powering the supercharger. The main purpose of this paper is to develop a solar-powered supercharger which will not consume extra power from the engine and thus increase the overall efficiency of the engine along with a reduction in CO2 emission. 03 30 2020 1980 1983 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8065.038620 https://www.ijrte.org/portfolio-item/F8065038620/ UG Student, Department of Electrical and Electronics Engineering, Saveetha School of Engineering, Chennai, India. Vishnupriya K. Ramya G. Assistant Professor, Department of Electrical and Electronics Engineering, Saveetha School of Engineering, Chennai, India. This paper enlightens the analysis of distributed transformer using novel controller. The transformer initiates power distribution by stepping up or down depends upon the need. In accordance with power quality issues, performance, dynamic response, power factor correction the normalized transformer is inconvenient. Replacing the uncertainties by introducing a power electronic distribution transformer (PET) with PI controlled adaptive fuzzy logic control (APIFC). Moreover the occurrence of breakdown voltage and stress in conventional method, this method becoming more popular. This transformer become sensitive to dealt with swell, sag, voltage regulation, open circuit and short circuit fault. The specified rectifier also does power factor correction. The strategic PI controller with adaptive fuzzy logic control technique is established to respond sudden change or variation occurs in load. The fuzzy logic controller (FLC) posses five set of rules and PI controller adapt with one among five set of rules. This makes the controller to adjust with variation and improves power quality. The simulation is carried out using MatLab-Simulink. 03 30 2020 3050 3054 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8066.038620 https://www.ijrte.org/portfolio-item/F8066038620/ Department of Information Systems, School of Information Systems, Bina Nusantara University, Jakarta, Indonesia. Richard* Via Pricella Department of Information Systems, School of Information Systems, Bina Nusantara University, Jakarta, Indonesia. Enterprise Resource Planning (ERP) systems implementation in a company should adapt to the complexity of user requirements. This research capture the customization process of Oracle-based ERP system in a pharmaceutical distribution company. The design method used in this research is Object-Oriented Analysis and Design (OOAD), which starts by gathering requirements from the company, then doing the design phase by using the UML diagram. Analysis of the ongoing system used as references for adjusting user requirements, and then made the design of the order management system that can help the company in recording and storing sales order transactions, recording and storing receipts. The company is expected to make sales transactions without relying on different applications by using this design, which makes the user more comfortable to do decision making when dealing with the customer and make transactions easier. 03 30 2020 2108 2112 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8068.038620 https://www.ijrte.org/portfolio-item/F8068038620/ M.com (Finance and System) Department of Commerce and Managemen Amrita school of Arts and Sciences, Kochi Amrita Vishwa Vidyapeetham Sreelakshmi V. S* Varsha Baiju M.com (Finance and System) Department of Commerce and Management Amrita school of Arts and Sciences, Kochi Amrita Vishwa Vidyapeetham K.G. Rajani Assistant Professor Department of Commerce and Management Amrita school of Arts and Sciences, Kochi Amrita Vishwa Vidyapeetham Goods and services tax (GST) is an indirect tax charged on the supply of various goods and services. It principle of destination based taxation consumption. This study looks into the effect of GST on textile shops in Ernakulam District, Kerala, India. In India, this tax system plays a significant role not in the ground of textile sectors but also in the field of many other sectors that deals with money matters. The study is done by way of data collection. 50 questionnaires were issued for the collection of data in different textile shops. The conclusion of the study is that there is a makeover in sales volume with respect to GST and a great impact in the cost of textile products after thearrival of GST. At the same time there is a slight change in the profitability of textile shops. 03 30 2020 1984 1986 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8069.038620 https://www.ijrte.org/portfolio-item/F8069038620/ Faculty, Central University, Andhra Pradesh, India. Dr. B. R. Manasa Behavioral finance is a systematic study of investors’ investments in the stock market, and various investments avenues are available in the market, every individual, professional investors, and financial service firm’s deal with different securities for maximization of profits and minimization of risk during the process, so many biases knowingly and unknowingly involved by the investors. 03 30 2020 2113 2116 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8071.038620 https://www.ijrte.org/portfolio-item/F8071038620/ Department of Electrical and Computer Engineering, Kwara State University, P.M.B. 234, Malete, Ilorin, Nigeria. Lambe Mutalub Adesina* Ganiyu Adedayo Ajenikoko Department of Electronic and Electrical Engineering, Ladoke Akintola University, Ogbomoso, Nigeria. Olalekan Ogunbiyi Department of Electrical and Computer Engineering, Kwara State University, P.M.B. 234, Malete, Ilorin, Nigeria. Tosin Samuel Oluwafemi Department of Electrical and Computer Engineering, Kwara State University, P.M.B. 234, Malete, Ilorin, Nigeria. Transmission is a component of the electric power system alongside the generation and distribution systems. Effective and efficient planning is often required in system design and operation to ensure consistent and reliable supply of power to the Customers. Thus, transmission line parameters analysis needs to be carried out to ensure this proper planning. One of the crucial equipment used in transmission’s overhead lines is Tower supports which are of different configuration considering the Structural design, voltage ratings and current transmission. Very often, towers are randomly installed to carry lines of the chosen voltage and current rating without considering the effects of earth resistivity on which the tower is installed. This paper presents the transmission line symmetrical component parameters evaluation of a chosen Transmission tower. An algorithm was developed, and python software program was used to implement this algorithm for the analysis. In achieving target, the selected tower was imagined having been erected on six different earth resistivity ground which include, sea water, swampy ground, pure slate, sandstone and general average ground. Symmetrical component parameters evaluated includes impedance, characteristics impedance, propagation constant, shunt admittance and capacitive suceptances as they were found to be important in the effective monitoring of power transmission and distribution. The results of the analysis are presented and discussed. These results show that capacitive suceptances are independent on tower earth resistivity and vary for different tower structural configurations while other parameters vary with earth resistivity value of the tower. Furthermore, regular line parameters monitoring is a measure minimizing power transmission losses in networks. 03 30 2020 1987 1993 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8079.038620 https://www.ijrte.org/portfolio-item/F8079038620/ B.Tech., Department of Chemical Engineering C.B.I.T. Hyderabad, Telangana, India. Hanusha Durisety* Kiranmai Palcham B.Tech., Department of Chemical Engineering, C.B.I.T. Hyderabad, Telangana, India. *K. Prasad Babu Assistant Professor, Department of Chemical Engineering, C.B.I.T. Hyderabad, Telangana, India. The Intergovernmental Panel on climate changes have concluded that- Most paths to halting global temperature increases at 2 degrees and every way to decrease it to 1.5 degrees depend on adopting methods of sucking CO2 from the sky. “CO2 removal has gone from a moral hazard to a moral imperative," says Julio Fried Mann senior research scholar at the Center for Global Energy Policy at Columbia University. There are many industries emitting the flue gases which include steam, sulphur dioxide, nitrogen dioxide, carbon dioxide. One such industry which emits carbon dioxide is cement industry. A single cement industry accounts for around 5 percent of global carbon dioxide emissions. Concrete is the second most widely used material on earth after the water. Concrete is used for wide range of applications like construct buildings, bridges, roads, runways, sidewalks, and dams. So, here’s the concrete with zeolite powder and zeolite sand that captures the carbon dioxide from the ambient air and reduces the atmospheric carbon dioxide making it eco-friendly. Also addition of zeolite to the concrete improves the mechanical strength of the concrete. It is more durable than the ordinary Portland cement. In this review paper, we will discuss the performance and properties of concrete incorporated with zeolite. 03 30 2020 2117 2121 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8083.038620 https://www.ijrte.org/portfolio-item/F8083038620/ Information system Departement, School of Information System, Bina Nusantara University, West Jakarta, Indonesia. Inayatulloh* Every company definitely needs supporting items for its daily activities. Companies need goods to support office activities and other activities such as paper, computers, printers and others so that choosing a vendor that provides the needs of these goods at low prices, fast delivery time is very important. During this time the vendor selection process is done manually so that the decisions made do not provide maximum profit for the company. This research aims to build a DSS model to help companies choose vendors to provide goods / services. AHP method is used to build a DSS model that will produce several alternative vendor choices by considering predetermined criteria. The result of this research is the DSS model for selecting vendors that supply goods and services 03 30 2020 3629 3632 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8089.038620 https://www.ijrte.org/portfolio-item/F8089038620/ School Information System, University of Bina Nusantara, West Jakarta, Indonesia. Inayatulloh* Ecommerce is an electronic trading system that makes it easy for sellers and buyers to trade transactions through the internet. Almost all types of businesses use e-commerce including SMEs because of the many advantages of e-commerce compared to conventional trading. The successful implementation of electronic -commerce in Small Medium Enterprise depends on the components of e-commerce built to support the success of e-commerce, therefore a model that can help SMEs implement e-commerce is needed. The resolve of this research is to design an ecommerce implementation model for SMEs by analyzing the critical factors for successful application of ecommerce in Small Medium Enterprise 03 30 2020 2122 2126 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8090.038620 https://www.ijrte.org/portfolio-item/F8090038620/ Associate Professor, Department of Economics, Mittal School of Business, Lovely Professional University, Punjab (India) Rajender S. Godara* Durafshan Jaihoon Fetrat Student, M.Sc. Economics, Mittal School of Business, Lovely Professional UniversityPunjab (India) Azatullah Nazari Student, M.Sc. Economics, Mittal School of Business, Lovely Professional University Punjab (India) The tourism and travel industry is the biggest and most diverse industry in the universe. The impact of tourism on increasing employment and foreign exchange earnings, the boom in domestic industries, the expansion of international cooperation have changed the attitudes of countries around the world and played an important role in the policymaking of Governments. So the purpose of this research paper is to investigate the Impact of Foreign Tourism Receipts growth on the growth rate economic in Indian economy during the period of 2000-2019. In this study we are using the Ordinary Least Squares method (OLS method).The results show that there is a positive relationship between economic growth rate and growth of foreign tourism revenue growth but this relationship is very weak its mean that the impact of the growth of foreign tourism receipt on economic growth is less; We can also say that there is no strong relationship between these two variables. 03 30 2020 1994 2000 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8091.038620 https://www.ijrte.org/portfolio-item/F8091038620/ Department of Computer Science and Engineering, Information Security Specialization, Vellore Institute of Technology, Vellore, India. Sharifa Nawroozi* Dr. RA. K. Saravana Guru Department of Information Security, Vellore Institute of Technology, Vellore, India. Nowadays, Cyberattack continues to target the applications and networks more than past with different and advance ways like programming complex format of malware that it executes unauthorized action on the targeted system, so it is needed to develop and deploy advance method to these kind of attacks for detecting correctly with a trusted and a better accuracy. Therefore, the recent solutions to detect malware attacks focuses on new advance technologies like Deep learning and Machine learning concepts. In this paper we have developed secure blockchain convolution (SBC) Algorithm that provides a better way of analyzing malware data with effectiveness and accuracy. The deep learning concept does not involve in a method to identify the trust while the process is led to extraction of the features as it can be infected by the intervention of human or a trained system. Therefore, According to research which is done towards blockchain, it features as authentication function, immutable property, information privacy and safety helps in deployment of Convolution Neural Network method with better detection. Blockchain has a decentralized structure which is able to record the data between various parties and it helps in preventing the manipulation when the deep learning concept is applied and the higher detection accuracy is received in the limited time. 03 30 2020 3055 3060 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8094.038620 https://www.ijrte.org/portfolio-item/F8094038620/ Department of ECE, Agni College of Technology, Chennai, India. V. Ve lmurugan* J. Martin leo manickam Department of ECE, St. Joseph’s College of Engineering, Chennai, India. In order to reduce overhead and to improve throughput an effective in Rural Group Head Node(RGHN) and Urban Group Head Node (UGHN) protocol can be implemented in the respective rural and urban scenarios. The first section deals with the efficient implementation of RGHN and UGHN protocols in VANET. In the next phase, working of RGHN in rural areas and UGHN protocol in urban areas are described and the performance analyzed. The developed protocol RGHN and UGHN needs comparison with the standard protocols under both the scenarios. The performance of the proposed protocol RGHN in rural scenario is compared with that of Dynamic Source Routing (DSR) and UGHN in urban scenario is compared with Ad-hoc On demand Distance Vector (AODV) shows the proposed technique providing a better result in terms of throughput, packet delivery ratio, delay and packet loss ratio in the network. 03 30 2020 3920 3928 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8095.038620 https://www.ijrte.org/portfolio-item/F8095038620/ Department of Computer Science, PPG College of Arts and Science, Coimbatore, India. C.V. Banupriya* Dr. D. Deviaruna Department of Computer Applications, Dr.NGP Arts and Science College, Coimbatore, India. An Electroencephalogram (EEG) plays momentous role in appraising tolerant with irregular motion in their brain, EEG soundtrack of the tolerant occupied to scrutinize irregularity and categorize type of confusion there in the brain activity. An Electroencephalogram is a bioelectrical signal that records the brain’s electrical activity versus time. The illumination of EEG indication is a function of outline detection. The future system engaged DWT change for factor withdrawal and got measure EEG signals recurrence range identifying with seizure, partition them into five diverse space, for example, α-alpha, β-Beta, γ-Gamma, δ-Delta and θ-Theta wave forms are identified with the summative range, and arrange of repetition circulation through DWT of EEG symbols to think about the dissimilarity amongst seizure and normal focus and Clustering the data with FCM with MPSO is used for optimize the data with decision tree classifier is utilized for the order to classify seizure and non-seizure conditions from traced EEG indication then estimation the Predictor Importance of the dataset. The outcome illustrates that the proposed working model would be supportive in EEG normal and epilepsy seizure classification. The recital of the classifiers are examined and observed that FCM with MPSO and decision tree engaged a smaller amount of time to make depiction and away carry out in estimate the predictor importance. 03 30 2020 2670 2674 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8097.038620 https://www.ijrte.org/portfolio-item/F8097038620/ ECE Dept, Jain University, Bengaluru, Karnataka, India Harihar Dr.Manjunath R Principle Consultant , Wipro Technologies Ltd India Bengaluru, Karnataka, India This paper presents an image registration algorithm based on SIFT (Scale Invariant Feature Transform).The obtained descriptors and key points by the SIFT confirms that, the algorithm is very robust to scaling, noise, translation and rotation. At the beginning, the key points are extracted from the image. Later to Match the obtained points, dot products between the unit vectors are calculated. Finally, transformation matrix is obtained by applying RANSAC algorithm. Experimental results shows that the algorithm extracts the better key points, which can be used for used for image registration applications. 03 30 2020 4090 4094 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8099.038620 https://www.ijrte.org/portfolio-item/F8099038620/ Associate Professor, Department of Health Information Technology & Management, Umm Al-Qura University, Makkah, Saudi Arabia. Dr. Mohammad Kamal Hussain* Mohammad Jabed Hussain Department of Information System, Umm Al Qura University, Makkah, Saudi Arabia. Mohammed Bakri Assistant Professor, Department of Epidemiology, Umm Al- Qura University Makkah, Saudi Arabia. Taher Mohammed Abdurraheem Assistant Professor, Department of Health Information Technology & Management, Umm Al- Qura University Makkah, Saudi Arabia Mahmoud Al-Areefi Assistant Professor, Department of Health Information Technology & Management, Umm Al- Qura University Makkah, Saudi Arabia improve quality in healthcare, it is very much important to store, manage and retrieve as well as use the data & information properly as it has great potential to help leaders in effective decision making. Managing data in healthcare is not easy task as it has many associated risk. As per new trends in healthcare industry, it is observed that the data volume generation in healthcare is growing rapidly. Big Data is substantial, less organized and mixed in nature. In addition to that, big data is considered one of the best tools to reduce the associated and functional cost of healthcare providers worldwide. While income should not be only a main or prime indicator, it is equally important for healthcare providers to gather the most valuable present tools and techniques and setup to force or inculcate big data effectively otherwise it can harm or risk organization to lose money in business as well as profit. Objective: This paper is focusing on the special factors of Big Data in healthcare. The main aim of this study is to find the roles of big data in healthcare and know how big data is helping in data transaction in healthcare industry. Methods: More than 30(n=30) published papers have been reviewed and suitable papers (n=18) have been included to make the conclusion. Information was condensed utilizing distinct measurable assessment & techniques. Findings: According to investigation of published articles, it has established that the role of big data is very much unique and important as well as it is helping healthcare providers to improve the patient safety and quality by providing smooth health information storage and exchange with high privacy and security. Conclusion: Big Data in healthcare is a new concept introduced in healthcare data analytics and management which is basically focusing in improving the drug and disease discovery, personal healthcare record, electronic health record, effective decision in diagnosis and treatment by healthcare practitioners and at most helps in getting desired and positive health outcome. The data is one of the crucial factors in healthcare and it is high time for healthcare providers to look into those matters in enormous way. 03 30 2020 2127 2131 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8100.038620 https://www.ijrte.org/portfolio-item/F8100038620/ Professor, MBA Department, KL University, Vaddeswaram, India, Dr.Venkateswararao. Podile* Dr.R. Padmavaathy Associate Professor, Department of Commerce, Montessori Kalasala, Vijayawada, India Dr.N.Bindu Madhavi Assistant Professor, MBA Department, KL University, Vaddeswaram, India Capital structure means the mix of equity and debt. The Finance manger is required to bring balance between different sources of financial resources for maximising return in any company by not altering risk mix. A best capital structure is required to optimize the owner’s Profits in any company. In this research paper, effort is put to examine the capital structure Trends in a Cement Engineering Company namely The Ramco Cements Limited. The Ramco Cements Limited is a main company in Ramco Group. This is a most popular group in Southern India. It is mainly located in Chennai. The important product of this organization is Portland cement. The cement production capacity is 16.45 million tons per year. This Company has a yearly turnover of Rupees 5174.71 Crores as per 2018-19 Accounts. The gross assets of the company are Rupees 8108.21 Crores. In this research paper capital structure Trends in the company for a period of 10 years are examined. Different kinds of Leverages are examined. Debt- Equity (D-E) Ratio, Proprietary Ratio(PR), Solvency Ratio(SR), Fixed Assets(FA) to Net worth(NW) Ratio, Fixed Assets Ratio (FAR), Current Assets(CA) to Proprietary Funds (PF) Ratio and Interest Coverage Ratio(ICR) are prepared for ten years period. Hypotheses’ testing was done through Chi-square. Outcome of the present research will be useful for finding weaknesses in capital structure of the company. 03 30 2020 2001 2005 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8101.038620 https://www.ijrte.org/portfolio-item/F8101038620/ Department of Electronics Engineering, Ateneo de Manila University, Philippines/ BS Electrical Engineering, Mapua Institute of Technology, Philippines. Paul M. Cabacungan Gregory Tangonan Ph.D., Department of Applied Physics/ M.S. Physics, California Institute of Technology, USA/ B.S. Physics, Ateneo de Manila University, Philippines. Nerissa G. Cabacungan M.A., Department of Counseling Psychology, Ateneo de Manila University, Philippines. This paper presents the design of the Water-Electricity-Light System (WELS) that is an integration of technologies composed of rain catcher, mechanical filter and UV irradiation, solar panel, charge converter, LED light, inverter and car battery. We traced back its development from a bulky and expensive system that was meant to generate drinking water into a more innovative water cleaning system that integrated lighting and cellphone charging. We tracked the improvements applied to the system to make the design more efficient yet simple enough to be replicated and customized in order to address varied needs. We shared the alterations made to the system components based on installation experiences in different contexts. We also explored ways to lower its cost and to make its power storage more durable. Initial results are shared in this paper. Having seen its usefulness and realized its successful implementation on the ground, we are proposing the pre-positioning of WELS to promote disaster resilience in a community level. We based this assertion on the review of all documentations done and feedback gathered from our ten-year experience of more than 140 WELS installations all over the Philippines. 03 30 2020 3061 3068 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8103.038620 https://www.ijrte.org/portfolio-item/F8103038620/ Research Scholar, Department of Mathematics Reg .No. 12310, St. Xavier’s College, Palayamkottai, Tirunelveli-627002, Affiliated to Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli-627 012, TamilNadu, India J. Vinolin* D.S.T. Ramesh Department of Mathematics, Nazareth Margoschis College, Pillaiyanmanai,Thoothukudi-628617, TamilNadu, India. S. Athisayanathan Department of Mathematics, Loyola College, Nungambakkam, Chennai -600034, Affiliated to University of Madras, Chennai – 600005, TamilNau, India Skolem mean labeling of Six star graphs under the condition 0 ≤ 1 is proved in this paper with clear explanation and examples. The aim of this paper is to discuss the 4, 2 partition of the Six star graph and to find the existence of the skolem mean labeling for the Six star graph under the given conditions with clear step by step proof. 03 30 2020 1865 1867 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8105.038620 https://www.ijrte.org/portfolio-item/F8105038620/ Ph.D. Student, Azman Hashim International Business School, Universiti Teknologi Malaysia, Johor Bahru, Johor, Malaysia. Bala Salisu* Dr Siti Rahmah Awang Senior Lecturer, Azman Hashim International Business School, Universiti Teknologi Malaysia, Johor Bahru, Johor, Malaysia. Prof. Tahir Ahmad Ibnu Sina Institute for Scientific and Industrial Research, Universiti Teknologi Malaysia, Johor Bahru, Johor, Malaysia. Heamalatha Krishnan Ph.D. Student, Azman Hashim International Business School, Universiti Teknologi Malaysia, Johor Bahru, Johor, Malaysia. In a two-stage process, we validated and established the item quality of an initial 15-item trait emotional intelligence (trait EI) scale in teacher leadership in higher education. First, we compute the interrater agreement (κ = 0.87) based on the trait EI domain using data obtained from a panel of nine experts. Second, item-rest correlation and item factor loading for the 15-item trait EI scale were determined based on data collected from a pilot sample of 61 teacher-leaders working with higher educational institutions in Northeast Nigeria. The results of the item-rest correlations (in two rounds) reduced the scale to nine items with excellent psychometrics (Cronbach alpha = 0.928; average interitem correlation = 0.589). This result was confirmed through the item factor loadings (range: 0.626–0.855) computed using JASP software. The scale showed good to reasonable model fit (χ2 = 127.105; df = 90; χ2/df = 1.412; p >0.006; RMSEA = 0.099; and TLI 0.870). Overall, this study produced a valid and reliable 9-item trait EI scale in teacher leadership that can be used in assessing the trait EI of teacher-leaders in higher education. Also, the study contributes to the refinement of the sampling domain of the trait EI construct. 03 30 2020 2132 2138 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8106.038620 https://www.ijrte.org/portfolio-item/F8106038620/ Department of Mathematics, Babasaheb Bhimrao Ambedkar University, Lucknow, India. Neetu Singh* Vipin Saxsena Department of Computer Science, Babasaheb Bhimrao Ambedkar University, Lucknow, India. In the present work, a very important approach Rayleigh-Ritz method has been used to compute the first few frequencies of a circular plate. The boundary conditions of circular plate are considered as a clamped and simply-supported. Different types of thickness variation of circular plate have been considered by researchers and a vast numbers of numerical results are available in the literature but none of the researchers consider the transcendental thickness variation which has been considered in the present work. The type of circular plate is considered as isotropic plate and significant numerical computations have been done for finding first three frequencies by varying the order of approximation and also the taper parameter. In special cases, results have been compared for uniform, linearly varying and transcendental thickness variations of circular plate and computed result are presented in the form of tables and graphs. 03 30 2020 2304 2309 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8112.038620 https://www.ijrte.org/portfolio-item/F8112038620/ Assistant Professor (Stage II) Department of Commerce, Assam University Diphu Campus, Diphu, Karbi Angling, Assam, India. Dr. Subit Dutta* Mrs. Amrita Dutta Professor and Head, Department of Commerce, Assam University Diphu Campus, Diphu, Karbi Angling, Assam, India. Ratan Borman Professor and Head, Department of Commerce, Assam University Diphu Campus, Diphu, Karbi Angling, Assam, India. A new era of financial reporting started in India from 2016 because of the convergence of International Financial Reporting Standards with Indian GAAP and adoption of Indian Accounting Standards. Ind AS has become the new Indian GAAP for all the companies in India from the financial year 2016-17. The Ministry of Corporate Affairs realizing the difficulties in first time adoption and transitional issues, phase-wise the adoption of Ind AS has been made mandatory on the basis of the net worth and listing status of the companies. Phase I starts from 2016-17 covering listed or unlisted companies, those have net worth Rs. 500 Crores or above on 31st March, 2014 or 2015. Phase II starts from 2017-18 covering listed or unlisted companies which have net worth Rs. 250 Crores or above but less than Rs. 500 Crores on 31st March, 2014 or 2015 or 2016. Under phase III all the companies which are not covered under phase I or phase II will be mandatorily required to apply Ind AS from FY 2018-19. In this study the researcher has assessed the impact of Ind AS adoption on the Phase I companies in Pharmaceutical and Health Care sector which are listed in BSE Top 500 Companies. 03 30 2020 2310 2313 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8113.038620 https://www.ijrte.org/portfolio-item/F8113038620/ Computer Science and Engineering, Centurion University of Technology and Management, Odisha, India. Stitiprajna Panda* Swati Sucharita Barik Computer Science and Engineering, Centurion University of Technology and Management, Odisha, India. Sasmita Kumari Nayak Computer Science and Engineering, Centurion University of Technology and Management, Odisha, India Aeisuriya Tripathy Computer Science and Engineering, Centurion University of Technology and Management, Odisha, India. Gourav Mohapatra Computer Science and Engineering, Centurion University of Technology and Management, Odisha, India. During the beginning of seventieth centuries, human facial recognition has become one among the researched areas in the area of finger print scanning and computer vision. Identifying a person with an image has been popularized through the mass media. The recent technologies are totally focusing on developing the smart systems that will recognize the faces for biometric purposes. In this context automatic face recognition is applied for security purposes to find the criminal, attendance system, scientific laboratories etc. This research paper presents the frame work for real time face detection. However, it is less robust to finger print or retina scanning. This paper describes about the face detection and recognition. These technologies are available in the Open-Computer-Vision (OpenCV) library and methodology to implement them using Python in image processing and machine learning. For face detection, Haar-Cascades algorithms were used and for face recognition the algorithm like Eigen faces, and Local binary pattern histograms were used. 03 30 2020 3208 3212 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8117.038620 https://www.ijrte.org/portfolio-item/F8117038620/ Electrical Engineering, Guru Kashi University Talwandi Sabo, Bathinda, India. Vibhuti Deepika Bhalla Electrical Engineering, IKG Punjab Technical University, Jalandhar. India. Genius Walia Physics, Guru Kashi University Talwandi Sabo, Bathinda, India The reactance of the transformer windings is an important component for the design which has a direct effect on its operation. Reactance is used for computation of not only the transformer equivalent circuit parameters and also for designing its protection. The Roth’s method, Rabin method, method of images, and classical methods are the traditional methods used for its calculation. The finite element method can be used for the calculation of transformer reactance. In the industrial revolution 4.0 all manufactured transformers would be evaluated through their 3D design and performance analyzed by computational methods. In this work the reactance calculated by the finite element method has been compared to that calculated by the classical method. The calculated values of energy stored in the windings and other parts and the reactance can be found. 03 30 2020 1816 1821 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8124.038620 https://www.ijrte.org/portfolio-item/F8124038620/ Assistant Professor, Department of Management, Hindustan College of Arts and Science, Padur, Chennai - 603103, Tamilnadu , India. Dr.V. Vetrivel* Dr.D. Kesavan Assistant Professor, Department of Management, Hindustan College of Arts and Science, Chennai V.Pon Indira Assistant Professor , Department of Management, Hindustan College of Arts and Science, Chennai. Dr.K. Malarvizhi Dean &HoD, Department of Management, Hindustan College of Arts and Science, Chennai. Brand image is the most deciding factor of the sales of a product and it is so important because it is the collection of views and beliefs linked to a certain brand. The value and character of that particular brand are portrayed through its image and is eventually that mirror in which the key values of the organization is reflected. The objective of this paper is to analyze the influence of customer brand judgment on brand image in the Television industry. A descriptive research design is used for this study. The sample may be drawn from the top three television brands in India such as Sony, Samsung, and LG. The three brands of television users are considered as respondents to collect the data, the total samples are 517. Descriptive statistics, frequency, regression, and Pearson correlation analysis were used to analyze the data to identify the variance and relationship between independent and dependent variables. It is observed that quality, consideration, and feeling are positively influenced by the brand image. Credibility and superiority are negatively influencing the brand image. 03 30 2020 2892 2895 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8126.038620 https://www.ijrte.org/portfolio-item/F8126038620/ Computer Science and Engineering, National Engineering College, Kovilpatti, Tamil Nadu, India. Eswari S Anusuya Devi S Computer Science and Engineering, National Engineering College, Kovilpatti, TamilNadu, India. Gayathri P V Computer Science and Engineering, National Engineering College, Kovilpatti, Tamil Nadu, India.. Jayalakshmi M Assistant Professor ,Computer Science and Engineering, National Engineering College, Kovilpatti, Tamil Nadu, India. Interview Feedback System is a web application that provides an easy way to analyze the interview process in college. In this system, all the details of the new companies will be added so students can easily find the details of the companies. Seniors also post their experience in their interview process which helps the juniors to prepare for their dream company. This provides updated information about questions and answers asked in the interview Students who got placed in a particular company are given a key by the admin so that other students cannot provide fake information. The main purpose of the Interview Feedback System is to define all the activities or operations that take place in the system. In this application, seniors and juniors can share questions regarding the interview and can be benefited. Users should use the system via the internet. Each user should have a user account. The user should use valid username and password to login. Admin can view all the questions posted by seniors and they can modify if necessary and also admin updates the junior list, senior list and companies list periodically. 03 30 2020 2475 2477 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8132.038620 https://www.ijrte.org/portfolio-item/F8132038620/ Department of Computer Science and Engineering, Shri Guru Gobind Singhji Institute of Engineering and Technology, Nande, India Archana R. Panhalkar* Dharmpal D. Doye Department of Electronics and Telecommunication, Shri Guru Gobind Singhji Institute of Engineering and, Technology, Nanded, India. Random forest is one of the best techniques in data mining for classification. It not only improves accuracy of classification but performing best for various data types. Data mining researchers concentrated on improving random tree forest by constructing trees by using various methods. In this paper, we are improving decision forest by applying various preprocessing techniques. Decision tree forest is created by using bootstrapped samples. Trees created using preprocessed data improves not only accuracy of classification but also improves time required to construct forest. Experiments are carried out on various UCI data sets to show better performance of our proposed system. 03 30 2020 4457 4460 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8136.038620 https://www.ijrte.org/portfolio-item/F8136038620/ Department of EEE, DBIT, B’lore, India. Padmashree V. Kulakarni* Dr. Jyoti Koujalagi Dept of EEE, Dr. AIT, B’lore, India. Babitha S. Dept of ECE, DBIT, B’lore, India. This paper presents new and novel approach towards the development of mathematical model of SRM and controller using Lab VIEW platform Application of PI Controller in Lab VIEW Platform is presented in this paper to reduce settling time and torque ripple, for different combination of Kp and Ki values. All simulation are completely documented with their block diagram and Lab VIEW Subsystem. In Lab VIEW platform, pi controller vi subsystem is developed which helps in reducing torque ripple and settling time.. 03 30 2020 3668 3671 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8141.038620 https://www.ijrte.org/portfolio-item/F8141038620/ B. Tech EEE in SRM Institute of Science and Technology, Kattankulathur, India. Viswanathan Ganesh* S. Senthilmurugan Assistant Professor (Sr.G) in the Department of Electrical and Electronics Engineering in SRM Institute of Science and Technology (SRMIST) , Kattankulathur, India. Akash Prabhu B. Tech EEE in SRM Institute of Science and Technology, Kattankulathur, India. Ajay Krishna V.M B. Tech EEE in SRM Institute of Science and Technology, Kattankulathur, India. Electric power tconservation tis important tin tthe induction motor tfield tbecause ttwo-thirds of tthe tearths electricity tis being tconsumed tby tinduction motors. tAC motors tare said tto tconsume tmore tenergy tin the tindustry. The tmain problem twith tthese tinduction motors tare tthey consume very thigh tpower tconsumption. The tuse tof tvariable frequency tdrives (VFD’s) thas treduced this tcurrent. Variable Frequency tDrive tis ta common technique tused to vary tthe speed tof tAC timpulse motor by changing their input frequency. These tdrives tuse large motors tto start tsmoothly and constantly tadjust tthe speed. With tthe use tof tVFD’s, energy cost tsavings tare particularly important tin tpump applications where tthe load torque and tpower tvary twith respect tto tthe induction motor speed. tWith tthat tsystem tit helps tto treduce the operating cost tof tthe twhole tsystem, which tprovides operational benefits tand timproves tthe system. tLife. tThis paper contains texperimental tstudies tof induction tmotors with VFD tand tVFD tfor tpumps. tWith tthat study's analysis, this paper treflects ta treview ton tthe stimulus and performance analysis tof tthe tinduction tmotor twith tand without tVFD. 03 30 2020 2896 2899 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8144.038620 https://www.ijrte.org/portfolio-item/F8144038620/ B.E., Department of Electrical and Electronics Engineering, National Engineering College, K. R. Nagar, Kovilpatti, Tamil Nadu, India. S. Ajmal Ahamed* S. Mohamed Riyaz B.E., Department of Electrical and Electronics Engineering, National Engineering College, K. R. Nagar, Kovilpatti, Tamil Nadu, India. A. Mahadevan B.E., Department of Electrical and Electronics Engineering, National Engineering College, K. R. Nagar, Kovilpatti, Tamil Nadu, India. J. Mohamed Hathim B.E., Department of Electrical and Electronics Engineering, National Engineering College, K. R. Nagar, Kovilpatti, Tamil Nadu, India. M. Bakrutheen Assistant Professor, Department of Electrical Engineering, National Engineering College, Kovilpatti, Tamilnadu, India. Dr. M. Willjuice Iruthayarajan Professor and Head, Department of Electrical Engineering, National Engineering College, Kovilpatti, Tamilnadu, India. Due to demand for development of sustainable alternative liquid insulation for transformers, vegetable oils have attracted many researchers as potential substitute to traditionally used mineral oil. Even though vegetable oils have better dielectric characteristics, they have some demerits related to its flow nature due to presence of fatty acid content in it. In this work, it is proposed to study the characteristics and analyze the suitability of crude and refined form of ground nut oil and gingelly oil as liquid insulation after processing for removal the fatty acid components. For removing the fatty acid content from investigating oil samples, transesterification process is adopted in this work. Suitability of oil samples are investigated with measurement of the properties related to flow characteristics (viscosity and pour point), electrical characteristic (breakdown voltage) and thermal flammability characteristic (flash point). The investigation reveals that the investigated vegetable oil samples have necessary characteristics to be an alternative to traditional transformer oil in future. 03 30 2020 2139 2143 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8146.038620 https://www.ijrte.org/portfolio-item/F8146038620/ Research Scholar : Dr A.P.J Abdul Kalam Technical University , Lucknow , India Deepak Kumar* Dr. Nitin Girdharwal Ph.D Supervisor & Associate Professor – Research KIET Group of Institutions , Delhi -NCR , India . Affiliated to Dr A.P.J Abdul Kalam Technical University , Lucknow , India Human resource development playing a crucial role in the hospitality industry as the human resource department putting effort into hotel growth to recruit experienced, knowledgeable and motivational stuff to grow more and more. The HR department not only recruits the best employees, but also allow the employees to grow and shave their career.The purpose of the study is to find out how and which HR practices play an important role in increasing hotel staff satisfaction. This study focuses on a selected five-star hotel in the National Capital Region (Ghaziabad, Gurugram, Faridabad, and Noida). A Pilot study was conducted on hotel staff or employees, HR executives, managers of the hotels were interviewed. Based on these interview factors that affect hotel staff satisfaction were identified: and the questionnaire was designed for hotel employees. This study shows that most of the hotel staff are satisfied with the working conditions and somewhat the salary and other benefits that they are receiving. The employee turnover rate was observed in the hotel industry is relatively high . The management of the hotels needs to take some strong decisions. 03 30 2020 4674 4678 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E8150.038620 https://www.ijrte.org/portfolio-item/F8150038620/ Department of Computer Applications MRIIRS, Faridabad, Haryana, India. Bharti Bisht* Dr. Parul Gandhi Department of Computer Applications MRIIRS, Faridabad, Haryana, India. Due to fast advancement in software industry, there was a demand to cut down time and efforts during process of software development. While designing product and services it is very essential to assure quality of product in order to strengthen market value of the product. To accomplish both quality as well as productivity objectives, it is suggested to go for software reuse. Reusability is an essential measure that can be used to improve overall software quality with lesser cost and efforts. This paper gives insights into various literature studies related to software reusability of Object-oriented software using data mining techniques. In this paper even comparative analysis of various techniques related to prediction and enhancement of reusability of Object-Oriented software systems has been done. This would help to get better understanding of need of reusability enhancement of Object-Oriented systems using data mining techniques 03 30 2020 2144 2152 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8155.038620 https://www.ijrte.org/portfolio-item/F8155038620/ Department of Computer Science, SVN College, Madurai, Tamilnadu.. A. Punitha* A.R. Visagan Department of Computer Science, MKU College, Madurai, Tamilnadu. R.P. Mahesh Department of Information Technology, SVN College, Madurai, Tamilnadu Crowdsourcing is a moderately new wonder in software engineering and programming designing. In crowdsourcing, a task is conveyed to a crowd of participants who will work on this task. Task allocation is then a significant aspect in the context of crowdsourcing. If done properly, it conveys victories dependent on the appropriate responses gave by the crowd. However, task allocation in crowdsourcing is certainly not an inconsequential issue. Factors like a task’s prerequisites, the knowledge required for its goals, and the size and heterogeneity of the participants in the crowd all impact task allocation, and subsequently, the expected quality of the task results. Right now, the execution of actions from a plan, that assists the dynamic task allocation in crowdsourcing systems, becomes relevant as an alternative solution. This paper formalizes task allocation in crowdsourcing scenarios as Allocation of Tasks in Crowdsourcing problem (ATCP). The fundamental objective of this paper is to allocate suitable tasks for appropriate workers with the dynamic profile creation of the user and the tasks. 03 30 2020 4095 4098 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8157.038620 https://www.ijrte.org/portfolio-item/F8157038620/ CSE, BVRIT Hyderabad College Of Engineering For Women, India. Sindhura Arepalli* A. Naga Kalyani CSE, BVRIT Hyderabad College Of Engineering For Women, India. Chandrasekhar Uddagiri CSE, BVRIT Hyderabad College Of Engineering For Women, India. Time banking is a mode of exchange that lets people to use time as exchange currency instead of money. By registering in a time bank, people agree to take part in a system that involves earning and spending ‘Time Credits’. When they spend a unit of time on an activity to serve others, they receive one time credit. Later when they need service from others, they can use the time credits that they have earned and saved. Time credits are also transferable to their nominees. Block Chain technology is used to implement this design to ensure robustness, transparency and security. Ethereum, which is a public Block Chain protocol was used to remove third party intervention. Block chain is used as ledger to keep track of the activities in the time bank accounts, such as sign up, recording the credits, tracking the events etc. 03 30 2020 3213 3216 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8159.038620 https://www.ijrte.org/portfolio-item/F8159038620/ currently working as Assistant professor (SG) in the department of Electrical and Electronics Engineering, National Engineering College, Kovilpatti, India R. Muniraj* S.Arumuga Raj Department of Electrical and Electronics Engineering, National Engineering College, Kovilpatti, India S. Dhanush Department of Electrical and Electronics Engineering, National Engineering College, Kovilpatti, India P. Balachandran Department of Electrical and Electronics Engineering, National Engineering College, Kovilpatti, India G. Gailainathan Department of Electrical and Electronics Engineering, National Engineering College, Kovilpatti, India Now a day’s is over intelligent system is well developed to produce a complicated technique for sensible management systems .Modern world the technology is developing faster .The system has to different control techniques and various theories are updated faster. Now here control analysis of various pendulums especially cart pendulum, rotary(furuta) inverted pendulum in various techniques like Proportional Integral and Derivative controller using some different tuning techniques like Ziegler Nichols method, Direct synthesis method, pole placement method, Cohen Coon method, Internal Model Controller method. They are several tuning method are available, but we are chose to three method. The analysis of various problems from various sources and simulated it in MAT LAB. We are measure the raise time, settling time and peak over shoot. In simulation result is compare to the theoretical calculation. 03 30 2020 2794 2797 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8161.038620 https://www.ijrte.org/portfolio-item/F8161038620/ Department of Information Science and Engineering, BMSIT&M, Visvesvaraya Technological University (VTU), Bengaluru, India. Swetha M S* Muneshwara M S Department of Computer Science and Engineering, BMSIT&M, Visvesvaraya Technological University (VTU), Bengaluru, India. Deep learning is a one of the major concept of Artificial Intelligence and Machine learning, which deals with the object detection task. On the other hand, a new targeted dataset is built according to commonly used existing datasets, and two networks called Single Shot Multi box Detector (SSD) and You Only Look Once (YOLO) are chosen to work on this new dataset. Through experimentation strengthen the understanding of these networks, and through the analysis of the results, learn the importance of targeted and inclusive datasets for deep learning. In addition, to this optimize the networks for efficient utilization when integrated with the necessary system or application. Further, explore the applications corresponding to these networks. The implementation includes two major concepts. The first concept is Object detection. Object detection is the process of object recognition and classification. There are several Training sets available online for training an object detection model. But the models are not trained to detect the same object from different geographical regions. The second concept is lane detection and steering suggestion. The model detects using the concept of radius or curvature of the road and also distance of the car from both the lane lines. Using these parameters it also gives steering suggestions such as move right or left by a certain distance. In addition to this it gives the distance and speed attributes of the surrounding objects such as cars, motorcycles, etc. Finally, the model developed is capable of detecting all the parameters required in order to be integrated and to create a self-driving car and it can be used efficiently in India. Using the above parameters that are obtained from the model the car can navigate through lanes in real-time. Its improved performance is due to the fact that it can detect road specific objects and because it is specifically trained for Indian roads. 03 30 2020 1959 1963 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8165.038620 https://www.ijrte.org/portfolio-item/F8165038620/ Department of Student Computer Science and Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, India. D.Naga Swathi* Kumaran. U Department of Computer Science and Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, India. Drug reviews are commonly used in pharmaceutical industry to improve the medications given to patients. Generally, drug review contains details of drug name, usage, ratings and comments by the patients. However, these reviews are not clean, and there is a need to improve the cleanness of the review so that they can be benefited for both pharmacists and patients. To do this, we propose a new approach that includes different steps. First, we add extra parameters in the review data by applying VADER sentimental analysis to clean the review data. Then, we apply different machine learning algorithms, namely linear SVC, logistic regression, SVM, random forest, and Naive Bayes on the drug review specify dataset names. However, we found that the accuracy of these algorithms for these datasets is limited. To improve this, we apply stratified K-fold algorithm in combination with Logistic regression. With this approach, the accuracy is increased to 96%. 03 30 2020 1964 1968 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8166.038620 https://www.ijrte.org/portfolio-item/F8166038620/ Department of CSE, KLEF, Vaddeswaram, Guntur Dist., India Matthi Naveen* Dr Pragnyaban Mishra Assoc Professor, Department of CSE, KLEF, Vaddeswaram, Guntur, Dist, India The world relies heavily on the Internet, and every organization uses web applications extensively for information sharing, business purposes such as online sales, money transfer, etc., and Exchange services. Nowadays, providing security for web applications is the greatest challenge in the corporate world because web applications will be the main way for their daily business and if the web application is affected, then daily business and reputation will be affected. As many organizations have been using the web application service to share or store sensitive information about their clients and assets. So, Web Applications are inclined to security attacks and new security vulnerabilities have grown in the last two decades in a web application and have become an important target for attackers. So, it is very vital to secure a web application. The vulnerabilities in web applications will incur due to the security misconfigurations, programming mistakes, improper usage of security measures, etc. So, vulnerability assessment and pen testing will help to figure out the different vulnerabilities present in web applications. The websites are also using to deliver the critical services to its customers so it must run every time without any interception, to do this VAPT will play a crucial role. This paper reviews about vulnerability assessment and pretesting steps and types, website vulnerabilities like SQL Injection, Cross-Site scripting, file inclusion, cross-site request forgery, and broken authentication with types and remediations and also discuss how the effect of these vulnerabilities on a web application. 03 30 2020 2314 2321 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8169.038620 https://www.ijrte.org/portfolio-item/F8169038620/ Associate Professor, PACE Institute of Technology and Sciences (Autonomous) Ongole, Andhra Pradesh, India. Madasala Ananda Rao* Udayagiri. Raghunath Associate Professor, PACE Institute of Technology and Sciences (Autonomous) Ongole, Andhra Pradesh, India. P. Bharath Kumar Assistant Professor in PACE Institute of Technology and Sciences (Autonomous) Ongole, Andhra Pradesh, India. Having distinguished intellectual insights of the business over rival firms empowers the organizations to make quick, smart and exceptional decision that gives a competitive advantage in the ever-changing complex business world. It is an arduous task to derive the intellectual insights from the abundant information may require investment of great effort, time and money. Undoubtedly, information is wealth. This paper a brief review study that offer vivid definition of big data application which has distinguished features and also analyzed how organizations create and deliver value from big data. We further made an attempt to propose consolidated characterization of big data, examples of business drivers, risk consideration in big data success. 03 30 2020 3415 3418 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8174.038620 https://www.ijrte.org/portfolio-item/F8174038620/ Ph.D. Research Scholar, Department of Computer Science, Vidyasagar College of Arts and Science, Udumalpet, Tamilnadu, India. B. Vijayalakshmi* Dr.N. Sasirekha Associate Professor, Department of Computer Science, Vidyasagar College of Arts and Science, Udumalpet, Tamilnadu, India. Tamil language is a longest existing classical language in the humankind. It is one of the scheduled languages in India and also official language for many countries. Communication using Tamil language is drastically growing after the practice of internet. Storage of Tamil documents also emerged greater than before. So there is a high requirement for data compression to improve the efficiency of storage and fast communication of Tamil documents. This research paper provides a novel approach for Lossless compression technique especially for Tamil documents. The compression process involves three major steps: separation of English alphabets appears with in Tamil text, substitution of ASCII in the place of Unicode Tamil characters using static dictionary and building a Huffman tree with a variation method for encoding the Tamil document. Performance of Tamil compression is measured by finding the space efficiency of memory storage needed to store the compressed file. The space efficiency can be measured by finding the parameters of compression ratio, compression factor and percentage of compression. Time efficiency is calculated by finding the time taken by the algorithm to compress and decompress a file. The average compression achieved through this compression technique is 72.08%. The decompression process restores the original file without any loss of data. 03 30 2020 2900 2906 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8177.038620 https://www.ijrte.org/portfolio-item/F8177038620/ Research scholar, G H Patel P G Dept. of Computer Science, Sardar Patel University, Vallabh Vidyanagar, Gujarat, India. Ms. Mona G Dave* Prof.(Dr.) P V Virparia Professor, G H Patel P G Dept. of Computer Science, Sardar Patel University, Vallabh Vidyanagar, Gujarat, India. This paper presents an approach to create a XML-based Syllabus repository for Computer Science subjects. It facilitates educators and experts to create, store, update and publish a syllabus for a particular subject. The objective of the research is to contribute to automate the Computer Science syllabus creation process allowing use, reuse and repurpose of the learning objects from the repository. The Syllabus learning objects like topic and subtopic are stored in a hierarchical XML structure which are combined and aggregated to create a customized syllabus for a particular subject. This paper discussing the Structuring, Navigating and Parsing of XML data done by using XML Schema Definitions (XSD), XPath and SimpleXML respective XML technologies. The steps to process the XML data and transform the data to produce the output is also discussed. We have tried to solve the issues associated with the traditional method of creating a syllabus which uses MS-Word or PDF data format. 03 30 2020 2907 2910 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8180.038620 https://www.ijrte.org/portfolio-item/F8180038620/ School of Electronics and Electrical Engineering, Lovely Professional University, Punjab, India Someet Singh* Anuj Jain School of Electronics and Electrical Engineering, Lovely Professional University, Punjab, India Sunil Kumar Mahla Department of Mechanical Engineering, IKJPTU, Punjab, India The algorithms that have been developed recently have decorous behavior to solve and find optimum solution to various optimization problems in search space. Withal such calculations stuck in issues nearby quest space for compelled engineering problems. In succession to achieve an optimal solution a hybrid algorithmic approach is proffered. Artificial Neural Network (ANN) is considered as better solution for the known outputs. A hybrid variant of applying ANN on Harris Hawks and Whale Optimization Algorithm (ANNHHOWOA) is proposed to achieve effective solution for engineering problems. The effectiveness of proposed algorithm is tested for various non-linear, non-convex and standard engineering problems and to approve consequences of proposed algorithm standard benchmarks and multidisciplinary design problems have been considered. The validation endorsed that the results shown by ANNHHOWOA showed much better results than individual ANN, HHO and WOA and its effectiveness on multidisciplinary engineering problems. 03 30 2020 4843 4850 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8189.038620 https://www.ijrte.org/portfolio-item/F8189038620/ Information Systems Management Department, BINUS Graduate Program – Master of Information Systems Management Bina Nusantara University Jakarta, Indonesia Agustinus Tantiono,S. Kom* Dr. Drs. Nilo Legowo M.Kom. Information Systems Management Department, BINUS Graduate Program – Master of Information Systems Management Bina Nusantara University Jakarta, Indonesia This study aims to produce a recommendation for improvement of information system governance that aims to improve its maturity and capability. In this case the process of assessing the level of maturity and capability is carried out at the Higher Education Foundation. Data collection instruments were conducted using direct observation in the company, conducting interviews with selected stakeholders, distributing questionnaires for which respondents had been assigned referring to COBIT 5 framework, as well as conducting a literature study on existing research. The methodology used in this study is the COBIT 5 framework by starting to identify problems and business objectives of the company, with reference to the COBIT process that has been identified and mapped according to analysis needs. Then measure the capability of the ongoing process using a questionnaire whose question provisions have been provided in the Process Assessment Model COBIT 5, thus helping the research process in assessing governance. Then the target level of capability that the company wants is determined. So the gap analysis process is carried out to find out how far the improvement needs to be done by the company to reach the target. The results obtained from this study are an assessment of the level of capability of corporate information system governance and the target level of capability to be achieved based on the chosen COBIT Process. Analysis of the gap between the current governance conditions and the company's targets is made as a recommendation for improving service activities and corporate information system governance. 03 30 2020 2798 2811 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8192.038620 https://www.ijrte.org/portfolio-item/F8192038620/ Research scholar, Department of Civil Engineering, Pondicherry Engineering College, Pondicherry-605014, India S. Santhosh kumar* Dr. S. Eswari Associate Professor, Department of Civil Engineering, Pondicherry Engineering College, Pondicherry-605014, India This paper presents the effects of adding basalt fibres on reinforced concrete beams. The fibre volume fraction Vf ranges from 0.0 to 2.0 %. First crack load, service load, yield & ultimate load and their corresponding deflections were noted. The ductility response of BFRC beams were evaluated. The results show that 1.5% by volume of basalt fibre improves the overall performances. The maximum increase in deflection and energy ductility was found to be 34 % and 39% respectively when compared to that of reference beam. The increasing application of basalt is noticed as an insulating material in the construction and automotive industry and less hazardous than asbestos fiber. Basalt fabrics are produce d for the structural, electro-technical purposes. Structural applications include electromagnetic shielding structures, various components of automobiles, aircraft, ships and household appliances. 03 30 2020 4856 4860 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8193.038620 https://www.ijrte.org/portfolio-item/F8193038620/ Department Information System Management, Nusantara University, Jakarta, Indonesia Sri Hesti Mahanani Tuga Mauritsius Department Information System Management, Nusantara University, Jakarta, Indonesia SehatQ is a portal and application that helps manage personal and family health. One of SehatQ's services is providing information and directories in the form of articles. To improve relations with web visitors, SehatQ also provides services in the form of discussion forums. The forum actually contains a variety of topics and changes very quickly over time, so to identify a topic from a collection of forums is very difficult and time-consuming if done manually by humans. But unfortunately the SehatQ editorial team has limited time and human resources in sorting out information sourced from the SehatQ forum to draw conclusions as a topic in the article. This research will offer a solution in analyzing Topic modeling using text mining with the Multilayer perceptron algorithm to provide trending information on the topics most frequently discussed at the forum at a certain time. 03 30 2020 2478 2486 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8194.038620 https://www.ijrte.org/portfolio-item/F8194038620/ P.G., Department of Electrical Power System from Jawaharlal Nehru Technological University, Anantahpur, Andhra Pradesh, India. M. V. Maheswaramma Dr. P. Sujatha Professor, Department of Elecrical Engineering in JNTU college of Engineering, Ananthapur, Andhra Pradesh, India. P. Bharath kumar Professor, Department of Elecrical Engineering in JNTU college of Engineering, Ananthapur, Andhra Pradesh, India. This paper proposes a genetic algorithm based factional order proportional integral derivative controller for load frequency control (LFC) problem. Genetic algorithm used for tuning the proposed controller. Initially the proposed controller is applied to single area power system after that it is applied to two area power system. The turbines known as non reheated and hydro turbine, and all other physical parameters of turbine, governor are validating in practical system. The simulation test in the presence of uncertainties and constraints in the plant parameters, shows improved disturbance rejection, reducing peak overshoots and settling time. 03 30 2020 2322 2326 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8196.038620 https://www.ijrte.org/portfolio-item/F8196038620/ Research Scholar, University College of Engineering, JNTUK, Kakinada, East Godavari, A.P., India.. I. Lakshmi Manikyamba* Dr. A. Krishna Mohan Professor, Dept of CSE, University College of Engineering, JNTUK, Kakinada, East Godavari, A.P., India. Assessment mining once in a while additionally alluded as notion investigation, very well may be utilized for normal language preparing. By the assistance of supposition mining state of mind of open about any item or an individual can be followed. This procedure includes building a framework which gather and classify sentiments about an individual's notoriety. Disposition and sentiments of open can be followed utilizing a stubborn record by arranging it as either positive or negative as per the slant communicated in it. Traditional assumption examination frameworks face challenges like short length of content, spelling mistakes, Special tokens like URLs, emojis, diversity of substance, Different style of language, multilingual substance, slang words and so forth. Approach of opinion extraction depend on directed learning, or solo strategies (content pre-processing by expelling tokens, URLs, stop words). Following techniques were clarified for political assessment mining dependent on fame by utilizing three characterization calculations i.e., Multi Naive Bayes calculation depends on Naive Bayes hypothesis which utilizes contingent likelihood by tallying the recurrence of qualities and blends them in an informational collection, straight SVC and XGB classifier. Check vectorization is utilized to change the literary information into vectors, either by utilizing TF-IDF calculation or BOW. Extremity is determined via preparing the informational index and afterward resultant number of positive and negative slants can be determined. The Result will be determined dependent on these extremity esteems. 03 30 2020 2746 2752 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8197.038620 https://www.ijrte.org/portfolio-item/F8197038620/ Assistant Professor, Department of Accounting and Finance, Jaipuria Institute of Management, Jaipur, India. Dr. Bhupendra Singh Hada* Internet Banking is about using the infrastructure for digital age to create opportunities, both in local & global market. IT enables the considerable lowering of transaction cost and the creation of new types of banking opportunities that address the obstacles of time and distance. Banking opportunities are local, global and immediate in internet banking. Internet banking is an online payment system that enables customers of a bank or other financial institutions to conduct a range of financial transactions through websites of financial institutions. Internet banking has many advantages over other traditional banking delivery methods. Internet banking provides banks with an increased customer base, cost savings, mass customization, product innovations, improved marketing, and communication, the ability to develop non-core businesses, and the ability to offer services regardless of geography and time constraints, viewing account balances, recent transactions, ordering cheque books and many more. With the development of new technology, Internet banking is expected to become a major banking method for customers. Internet banking reduces costs by providing customers with another means of accessing their accounts without physically visiting a bank. The main purpose of this study is to analyze various online facilities provided by major public and private banks in India and to measure their impact on customers in terms of customer satisfaction. 03 30 2020 3833 3841 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8198.038620 https://www.ijrte.org/portfolio-item/F8198038620/ Department of Mechanical Engineering, Faculty of Engineering and Technology, Annamalai University, Tamil Nadu, India. A. Parre* B. Karthikeyan Department of Mechanical Engineering, Faculty of Engineering and Technology, Annamalai University, Tamil Nadu, India. A. Balaji Department of Mechanical Engineering, A.V.C College of Engineering, Mayiladuthurai, Tamil Nadu, India. P. Sudhagar Department of Chemical Engineering, Faculty of Engineering and Technology, Annamalai University, Tamil Nadu, India. R. Udhayasankar Department of Mechanical Engineering, Faculty of Engineering and Technology, Annamalai University, Tamil Nadu, India. Natural fibers are considered likely to be used in polymer composite materials as reinforcing agents because of their main advantages such as fine strength and rigidity, low cost, environmentally friendly, degradable and renewable material. A study was conducted to assess the impact of properties of bicomposite made from cardanol resin banana fibers. The banana fiber extracted from the banana stem was treated with alkali to enhance the interfacial linkage around fiber and cardanol resin. Biocomposite was manufactured using formaldehyde mixed with cardanol oil to form cardanol resin mixed with banana fiber using compression moulding Techniques with different process factors such as fiber weight (5%, 10%, 15%, 20%, and 25%) different fiber length (5, 10, 15, 20, and 25 in mm) and alkali treatment (varying in 1%, 3%, 5%, 7% and 9%. The developed banana fiber reinforced composite were then characterized by impact testing showing strong significance and association in DOE using 15.2% fiber weight response surface methodology with 15.3 mm fiber length and 4.7% alkaline treated. Thus we examined the effect of the above factors on impact and suggested the best combinations of factors for composite processing. 03 30 2020 3958 3962 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8205.038620 https://www.ijrte.org/portfolio-item/F8205038620/ Assistant Professor, Department of Commerce, Don Bosco College, Golaghat, Assam, India. Sanjay Rizal We all involved in the purchase decision; we all know how to deal with it. However, how many of us understood the aspects involved in purchase decision making. The whole purchase decisions can be divided into two parts, i.e., planned purchase and unplanned purchase. Planned purchase is very well categorized and very specifically generalized, so there is hardly anything to explore in the planned category of purchase. However, the same is not in case of unplanned purchase; unplanned purchase has not yet explored the way it should be. In this study, the researcher developed a theoretical model to make it understand how individual all unplanned purchases do not fall under the horizon of an impulse purchase. The model was tested through the respondent from the state of Assam. Results showed that impulse is the one side which is very clear to all, but it is time to give our attention to the other side of Unplanned Purchase which is yet to be unveiled and according to the finding of the study, the researcher has given some useful suggestion to some specific category of audience. 03 30 2020 4000 4005 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8206.038620 https://www.ijrte.org/portfolio-item/F8206038620/ Department of Information Systems, University of Economics and Law, VNU-HCM, HCM City, Vietnam, Asia. Nguyen Thon Da* Tan Hanh Department of Information Technology, Posts and Telecommunications Institute of Technology, Hanoi, Vietnam, Asia. Pham Hoang Duy Department of Information Technology, Posts and Telecommunications Institute of Technology, Hanoi, Vietnam, Asia. In this article, we provide a novel model to address the issue of webpage access prediction. In particular, the main approach we propose aims to reduce execution time by reducing the sequence space. This solution combines calculation of PageRank values of sequences in sequence databases and analysis of sequences from these shortened sequence databases. To evaluate the solution, we chose K-fold validation with K = 10 by randomizing the dataset 10 times; then the system calculated the average PageRank values of sequences. Next, with acceptable accuracy (when the size of datasets was reduced by up to 30% by PageRank calculation), we performed next access page prediction by analysing 1000 sequences. Experimental results for the real FIFA dataset show that our new proposed approach is much better than previous approaches in terms of prediction execution time. 03 30 2020 2327 2335 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8209.038620 https://www.ijrte.org/portfolio-item/F8209038620/ Lecturer (Mechanical) Government polytechnic college, Jodhpur, Rajasthan, India. Ramesh Parihar* Dr. Kamlesh Purohit Professor & Ex. Dean MBM Engineering College, JNV University, Jodhpur, Rajasthan, India. The Bass model is one of the basic models for new product diffusion analysis. But the Bass model requires a large quantity of raw data to determine parameters of Bass model and this model also uses the potential capacity of market based on the subjective experience. To solve the problem of necessity of large raw data of Bass model, Wang put forward the Grey Bass model. Wang used non-linear least square (NLS) method to find the parameters of Grey Bass model and to assess the potential capacity of market. In the present paper a more appropriate method for Grey Bass equation is offered which estimates potential capacity of market even if the sample size is small. The proposed model is based on the minimization of sum of square of error between actual and predicted data using Particle Swarm Optimization (PSO) technique. Using the case study data, as used by Wang, the accuracy of the improved method is investigated. The results show that the mean absolute percentage error (MAPE) in the present case is 6.52 % compared to 7.93% reported by Wang. 03 30 2020 2006 2011 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8212.038620 https://www.ijrte.org/portfolio-item/F8212038620/ Ph.D. scholar at School of Management Studies, Punjabi University, Patiala, India Berhanu Esubalew Bayih* Dr. Apar Singh (Assistant professor) School of Management Studies, Punjabi University, Patiala, India Domestic tourism is the largest form of tourism in the world, both in terms of tourist flow and revenue. Nevertheless, relatively it is overlooked by governments and scholars of most developing countries. Consequently, this article has tried to contribute to domestic tourism scholarship by exploring domestic tourism in Ethiopia, intending to uncover the trends, prospects, promotional marketing, and challenges. The research was descriptive in its design and has utilized primary and secondary data collected through questionnaires, interviews, and reviewed archives. The primary data were gathered from 386 domestic tourists and 37 tourism experts at four different destinations. The data were analyzed using descriptive statistics, content, and text analysis using SPSS and Excel software programs. The result revealed that tourism in Ethiopia, in general, has been rising, but the absence of domestic tourism data at the national level weakens the generalization and was evidence to the level of attention given to the sector. Domestic tourism was found to be misconceived by most tourism experts and businesses. The result further indicated the culture of tourism in Ethiopia, domestic tourism development potentials, and its challenges. Conclusions and recommendations vital for policymakers and practitioners are also provided. 03 30 2020 2675 2688 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8215.038620 https://www.ijrte.org/portfolio-item/F8215038620/