-4d90550d17f4602e089-619c 20220329033924626 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 Research Scholar, Punjabi University, Patiala, India. Mandeep Singh Dr. Raman Maini Professor, Punjabi University, Patiala, India The rapid growth of stored information in the demand forecasting, associated with data analysis provoked an utmost need for generating a powerful tool which must be capable of extracting hidden and vital knowledge of load forecasting from available vast data sets. Being a promising sub domain of computer science, numerous data mining techniques suits the solution to this problem very well. This paper presents a vast, rigorous and comparable survey of tremendous data mining techniques useful in forecasting the electricity load demand of different geographic area. Based upon the rigorous survey, primary challenges involved in the current technologies and future goals are also discussed. 03 30 2020 220 229 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F6997.038620 https://www.ijrte.org/portfolio-item/F6997038620/ Electronics & Communication Engineering, Lucknow, India. Divya Tripathi* Subodh Wairya Electronics & Communication Engineering, Lucknow, India. Quantum-dot cellular automata (QCA) is inventive nanotechnology that suggest lesser size, lesser power consumption, with more rapid speeds and deliberated as a clarification to the scaling difficulties with CMOS technology. Physical bounds of CMOS for instance the effects of quantum and the limits of technologies like power dissipation obstruct the motion of microelectronics using consistent circuit scaling. In this paper, a 1-bit binary magnitude comparator circuit is proposed that takes down the count of QCA cells related to the previously reported design’s cell numbers. The proposed course of study involves just around 29 % of the total area as compared to the preceding design with the lesser speed and clocking cycle performance and energy dissipation also. QCA designerE tool is used for simulation and finding the parameters also. The projected magnitude comparator also compares the metrics result with some of the other preceeding patterns. 03 30 2020 430 436 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7000.038620 https://www.ijrte.org/portfolio-item/F7000038620/ Department of Computer Science, Pub Kamrup College, Assam, India Arup Sarmah* Rahul Lahkar Department of Computer Science, Pub Kamrup College, Assam, India Sanjib Kalita department of Computer Science, Gauhati University, Kamrup, India B K Dev Choudhury Pub Kamrup College, Assam, India. Development of a feasible support system for automating staging of neural disorder based on Electroencephalogram (EEG) is essential to speed-up diagnosis process by improving the burden of the clinician of analyzing large volume data and to accelerate large scale research. In this work Discrete wavelet transform (DWT) has been applied to extract statistically independent features and fused the features for effective classification of various EEG signal. The aim of this paper is to present a comparative study of two feature fusion approaches namely Canonical Correlation Analysis (CCA) and Discriminant Correlation Analysis (DCA). Further, our proposed method can be extended to develop a graphical user interface and promote real time implementation. 03 30 2020 5844 5849 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7108.038620 https://www.ijrte.org/portfolio-item/F7108038620/ Pursuing Ph.D., Department of Electrical and Electronics Engineering, National Institute of Technology Mizoram, India. Upama Das* Pabitra Kumar Biswas Department of Electrical and Electronics Engineering, National Institute of Technology Mizoram, India. This manuscript proposes a comparative analysis of BLDC motor performance at various ratings. The BLDC motor may act as a replacement for conventional engines such as the Brushed DC motor, the induction motor, the switched reluctance motors, etc. Because of the BLDC motor's overweight merits, modeling is performed to improve system performance. The torque feature of BLDC motor plays an extremely significant aspect in the fabrication of the BLDC motor drive device, so it is crucial to approximation the exact torque value that is calculated by the simulation of the model proposed in MATLAB software. In the MATLAB / Simulink setting, different ratings of BLDC motor are simulated after the creation of the straightforward analytical model of the three-phase BLDC motor with counter electromotive force trapezoidal waveforms. Based on the review, a comparative examination of each valued engine outcome is displayed in the MATLAB environment's Graphical User Interface. 03 30 2020 230 235 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F6986.038620 https://www.ijrte.org/portfolio-item/F6986038620/ Department of Civil Engineering & Construction, Faculty of Engineering, Science & Technology, Infrastructure University Kuala Lumpur, Jalan Ikram -Uniten, 43000 Kajang, Selangor, Malaysia Ranjit Singh Dharam Singh* Mohamed Abdalla Adam Mohamed Department of Civil Engineering & Construction, Faculty of Engineering, Science & Technology, Infrastructure University Kuala Lumpur, Jalan Ikram -Uniten, 43000 Kajang, Selangor, Malaysia. The accurate location of underground utilities at a construction site can prevent any damage to the utilities during excavation works. The cost of fixing the damage utilities can be very costly and will reduced the expected profit of the construction works. Therefore underground utility detection using Ground Penetrating Radar (GPR) is important in providing accurate information of the utilities at a construction site. In this study TerraSIRch SIR-3000 GPR equipment have been used to detect underground utility, with a 400 MHz ability which can reach up to 3m depth. RADAN 7 software is used to interpret and analyze the GPR data. Based on the results obtained the GPR equipment is capable of detecting underground utilities such as pipe, cable, shaft, etc.. The detected utilities are then shown in the 2-D and 3-D drawing for better visualization and identification. 03 30 2020 236 240 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7111.038620 https://www.ijrte.org/portfolio-item/F7111038620/ Department of Electrical and Electronics Engineering Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India. Yamini V. Ajayan S. Department of Electrical and Electronics Engineering Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India. Sometimes, Solar Electric Vehicles (SEV) drain out of power and stops in the middle of the journey. To overcome this problem, SEV is upgraded with on-board and off-board charging facilities. This paper proposes a prediction algorithm that considers solar power and battery power to find out the distance the vehicle can travel, thus helping the vehicle driver to stop at a charging station to charge the vehicle. The proposed algorithm is simulated for various driving cycles and results are presented and discussed. 03 30 2020 3764 3770 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7115.038620 https://www.ijrte.org/portfolio-item/F7115038620/ Assistant Professor, Department of Civil Engineering, College of Engineering, King Khalid University, P.O. Box: 394 Abha 61411, Kingdom of Saudi Arabia Ibrahim I. Falqi * Abdullah M. Alshehri Assistant Professor, Department of Civil and Environmental Engineering, College of Engineering, Majmaah University, Majmaah, Saudi Arabia. The value management concept is becoming increasingly relevant to the construction industry in Saudi Arabia. The aim of this study to analyse the technical knowledge of value management practitioners concerning the sustainability aspects and its implementation all over the country. A quantitative research design used to analyse the application of value management among stakeholders associated with construction projects. The results shown that 10% of consultants and 8% of the contractors were having a useful application of value management; while, 4% consultants and 6% contractors have full maturity of the value management application. The findings have shown that unqualified individuals (24%), lack of client’s experience (24%) and not part of the project (17%) are the main reasons behind the restriction of value management implementation. Despite the implications of value management is extensive in developed and developing countries, the Saudi construction industry needs to increase the level of application of value management. 03 30 2020 620 625 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7118.038620 https://www.ijrte.org/portfolio-item/F7118038620/ Department of ECE, KSK College of Engineering & Technology, Kumbakonam, India. Latha R.* Sharmila M Dept. of IT, M.Kumarasamy College of Engineering, Karur. Vanathi P.T Department of ECE, PSG College of Technology, Coimbatore, India In this work, an effort is made towards the design and implementation of dual stage multi-rate digital filter architecture which is suitable for digital receivers and satellite applications with reduced VLSI cost function. The proposed dual stage decimation filter architecture consists of Higher Order Filter (HDF) as first section. To remove the droops created by the HDF section in the pass band and to get the smooth pass band frequency response characteristics, HDF filter is followed by a Corrector/Compensating Finite Impulse Response (FIR) filter network. The compensating FIR is designed using conventional Multiplier and Accumulator (MAC) unit. Initially, the filter architectures frequency response are obtained as per the given specifications using MATLAB. Then, Field Programmable Gate Array (FPGA) based performance metrics are captured and analyzed with respect to area, dynamic power dissipation, delay and power delay product. Based on the FPGA performance metrics, it is observed that the proposed dual stage filter leads to 22% of area saving and 9.5 % reduction in dynamic power dissipation. Mainly these filters are best suited for Digital Signal Processing applications in wireless receivers. 03 30 2020 489 494 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7120.038620 https://www.ijrte.org/portfolio-item/F7120038620/ Research Scholar, Shri Jagdish Prasad Jhabarmal Tibre Wala University, India. Syed Viqar Malik Dr. Anil Achyut Kunte Associate Professor, Department of Civil Engineering, Shri Jagdish Prasad Jhabarmal Tibrewala Univesity, Jhunjhunu, Rajasthan, India. India being a populous country demanding construction on large scale. The change of environment since several years are more often generating seismic waves. Around 9 major earthquakes with magnitude scale of above 6 can be observed over an decade. The present study is to focus in increase in ductility without any earthquake resistance design but with inclusion of combination of fibers like nylon and sisal. Concrete due to its brittleness is very prone in case of seismic resistance alone. Reinforcing concrete with steel bars to strengthen the ductility was the traditional approach which is followed by all over the globe. The use of steel bars to strengthen a concrete beam is confined because of its limitation which causes sudden failure in concrete. Thus, making a concrete material which is more ductile than a normal concrete is basic aim of this experimental research work. T beam are casted to study their performance mainly due to know the behavior of column beam joint during seismic evaluation. The study shows the attributes of concrete due to inclusion of hybrid fibers and even generation of mathematical model to analyze the effect and variation of concrete properties due to inclusion of hybrid fibers. To study their seismic performance cyclic loading test is performed. An trial is made to increase ductility of concrete beams mainly near column beam joint which were very prone towards seismic waves by hybridizing sisal fiber and nylon fiber and can result in increase in ductility and load carrying capacity by 22% and 31% respectively in comparison with control specimen. 03 30 2020 1875 1879 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7122.038620 https://www.ijrte.org/portfolio-item/F7122038620/ Department of Computer Science and Engineering, Collage of Engineering and Technology, Bhubaneswar, India. Nikita Banerjee* Subhalaxmi Das Department of Computer Science and Engineering, Collage of Engineering and Technology, Bhubaneswar, India. Lung cancer has been one of the deadliest diseases in today’s decades. It has become one of the causes of death in both man and woman. There are various reasons for which lung cancer occurs but classification of tumor and predicting it in the right stage is the most important part. This paper focused on the numerous approaches has been derived for lung cancer detection from different literature survey to advance the ability of detection of cancer. Digital image processing and data mining both are equally important because for prediction either image dataset or statistical dataset is used so for pre-processing the image dataset digital image processing is applied for statistical dataset data mining is applied. After pre-processing, segmentation and feature extraction we apply various machine learning algorithm for the prediction of lung cancer. So first we have provided a sketch of Machine learning and then various fields like in image data or statistical data where machine learning has been used for classification. Once the classification is done confusion matrix is generated for calculating accuracy, sensitivity, precision, these method is used to measure the rate of accuracy of the proposed model. 03 30 2020 241 249 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7124.038620 https://www.ijrte.org/portfolio-item/F7124038620/ Faculty of Petroleum and Mining Engineering, Suez University, Suez, Egypt. Maher A.Mesbah Asem Salama National Research Institute of Astronomy and Geophysics (NRIAG), Helwan, Egypt. Mohamed A. Albarqawy Faculty of Petroleum and Mining Engineering, Suez University, Suez, Egypt. Eslam M.Ali* Faculty of Petroleum and Mining Engineering, Suez University, Suez, Egypt. The objective of the current investigations is to estimate the dynamic geotechnical properties necessary for evaluating the conditions of the subsurface in order to make better decisions for economic and safe designs of the proposed structures at a Steel Rolling Factory, Ataqa Industrial Area, Northwestern Gulf of Suez, Egypt. To achieve this purpose, four seismic refraction profiles were conducted to measure the velocity of primary seismic waves (P-waves) and four profiles were conducted using Multichannel Analysis of Surface Waves (MASW) technique in the same locations of refraction profiles to measure the velocity of shear waves (S-waves). SeisImager/2D Software Package was used in the analysis of the measured data. Data processing and interpretation reflect that the subsurface section in the study area consists of two layers, the first layer is a thin surface layer ranges in thickness from 1 to 4 meters with P-wave velocity ranges from 924 m/s to 1247 m/s and S-wave velocity ranges from 530 m/s to 745 m/s. The second layer has a P-wave velocity ranges from 1277 m/s to 1573 m/s and the S-wave velocity ranges from 684 m/s to 853 m/s. Geotechnical parameters were calculated for both layers. Since elastic moduli such as Poisson’s ratio, shear modulus, Young’s modulus, and bulk’s modulus were calculated. Competence scales such as material index, stress ratio, concentration index, and density gradient were calculated also. In addition, the ultimate and allowable bearing capacities. 03 30 2020 1785 1794 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7126.038620 https://www.ijrte.org/portfolio-item/F7126038620/ E & Tc Department, Pimpri Chinchwad College of Engineering, Savitribai Phule Pune University, Pune, India. Anjali A. Shrivastav* Dr. Mahesh T. Kolte E & Tc Department, Pimpri Chinchwad College of Engineering, Savitribai Phule Pune University, Pune, India Hearing is one of the most crucial sense for human beings as it connects them to external world. Hearing loss impairs communication which is an essential human function. Hearing disability has massive negative impact on life, work, physical and emotional well-being as well as relationships and is rated as the third most common health problem affecting relations and quality of life. Hearing aid devices can selectively intensify sound signals in order to suit the hearing characteristics of the patients and is a boon for people with hearing misfortune. However, there is a huge gap between the potential and actual hearing aid users. This work provides a critical look into the various challenges posed by hearing aid users, the comparative of the existing state-of-art hearing devices and throws light on bottlenecks in hearing aid design and performance. Filter bank, being the holy grail of Digital Hearing aid, needs special attention for improving the hearing aid performance. Reconfigurability is the need of the hour for providing flexible and tailormade hearing aids that can suit individual hearing requirements. The paper discusses and gives an in-depth insight into the techniques for reconfigurable Filter bank design for performance augmentationin terms of parameters like Signal quality, Auditory compensation, Computational and Hardware complexity, area, speed, power, etc. 03 30 2020 37 46 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7127.038620 https://www.ijrte.org/portfolio-item/F7127038620/ Student, Information Technology, Saveetha Institue of Medical and Technical Sciences, Saveetha University, Chennai, India. Neharika D Bala Anusuya S Professor and Head, Information Technology, Saveetha Institue of Medical and Technical Sciences, Saveetha University, Chennai, India. Generally, the diseases are classified into communicable and non-communicable. The communicable disease is that, which can be spread easily from humans to humans while non-communicable disease does not spread. In this paper, we discuss about Parkinson's disease and its analysis using machine learning algorithms. The analysis of data is done using supervised machine learning approach. This paper concentrates and briefs about various supervised learning algorithms and its analysis. 03 30 2020 47 50 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7129.038620 https://www.ijrte.org/portfolio-item/F7129038620/ School of Education, Faculty of Social Sciences and Humanities, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia. Mohamad Ariffin Abu Bakar* Norulhuda Ismail School of Education, Faculty of Social Sciences and Humanities, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia. This study aims to examine the effectiveness of interactive entrepreneurship activity in mathematics learning towards students’ mastery in mathematics concepts. The objective is to look at the impact of implementing an active learning strategy combined with technology on mastery of mathematics concepts after engaging in a learning activity. The combination of technology in interactive learning and games kits in the form of interactive entrepreneurship activity has resulted in the innovation of learning strategies to enhance the learning interest, enjoyment and to influence the mastery of students' mathematics concepts. The effectiveness study of the strategy was conducted using an experimental study design that involved 109 students from 2 secondary schools who had participated in a 4-week mathematics learning treatment session. The experiment group was exposed to interactive entrepreneurship activity through the use of a learning kit while the control group followed conventional learning for a selected mathematics topic. Post-test were conducted to see differences in understanding and achievement of mathematics concepts for both groups of students. The results show that there is a significant difference between the mastery of mathematics concept of the experiment group students and the control group students. This shows that the integration of technology in learning activities has a positive impact on student learning. The implications of the study indicate that teachers need to constantly improve pedagogical knowledge based on current technological developments and improve teaching strategies in order to improve student competencies. The parties also need to provide the latest technology to improve the quality of education in line with global developments. 03 30 2020 250 255 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7130.038620 https://www.ijrte.org/portfolio-item/F7130038620/ Department of Computer Engineering & Networks, Jazan University, KSA. Dr Prakash Kuppuswamy Peer Mohamed Appa M A Y Assistant Professor, Computer Science and Engineering Department in Francis Xavier Engineering College, Tamilnadu, India Dr Saravana Raju Department of Computer Science & Engineering in Jazan University, KSA RFID uses radio frequency waves to transfer data using components such as tag, the reader and back-end server for device identification. Radio Frequency Identification technology (RFID) providing unique identification and tracking any device that has a tag attached to safeguard the products and protect from unauthorized users. There are many kinds of protocols to resolve these problems have been researched. Though, the security, cost, time and task of RFID are accountable to identify the feasible authentication protocol according to the business environment. In this research article, we proposed new authentication protocol as a method to protect privacy, especially for affordable cost and functionalities and have limited power consumption, memory and effective security process. The proposed protocol called as simple symmetric key (SSK) algorithm using random integers based on modulo 37. The proposed authentication protocol is secure against spoofing and replay attack and also it is suitable to support distributed database environment. 03 30 2020 437 442 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7131.038620 https://www.ijrte.org/portfolio-item/F7131038620/ Assistant Professor - Finance in Institute of Management, CHRIST (Deemed to be University), Dr Sreelakshmi P Ms.Nidhi Parpiani MBA in Finance and is a research scholar at Christ University. Significant variations of bank profitability in Indian commercial banks during the period 2009-2018 motivated the critical need to study the impact of shadow banking on the profitability of commercial banks in India. Shadow banking is defined as any institution that offer bank like activities but not regulated as banks. These institutions seem to be on the rise in India thus this research considered to investigate their implications to traditional banks’ profitability. The secondary data in this analysis covered a period of 10years from 2009 to 2018. The multiple linear panel regression model for the bank profitability measures; Return on Asset (ROA), was used as a dependent variable to analyze the data. Shadow banking ratios, variables were used as independent variables in the model. To measure if the loans given by banks to housing sector decreased as a result of housing finance companies, the net aggregate of loans disbursed by banks to housing sector and net aggregate of loans disbursed by housing finance companies were recorded for the past 5 years and significant analysis was made accordingly looking at the data .Shadow banking ratios were derived from monetary aggregates data that is M3, total bank loans and total bank deposits. Regression results indicated thatShadow banking only completes the banking system and has no significant impact on loans of the commercial banks in the Housing Finance sector. 03 30 2020 51 58 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7133.038620 https://www.ijrte.org/portfolio-item/F7133038620/ Research Scholar, Department of ECE, OUCE, Osmania University, Hyderabad, Telangana, India. S. P. Girija* Rameshwar Rao Professor, Department of ECE, OUCE, Osmania University, Hyderabad, Telangana, India. Multiple Input Multiple Output (MIMO) system has several input and output antennas for executing the data transmission. Channel Estimation (CE) is required in MIMO, to achieve the effective signal transmission over the various amount of antennas. By using CE over the MIMO, the noiseless data transmission is performed. Hence in this paper, a Multi-layer Neural Network (MNN) is used for identifying the CE and this system is named as Multi-layer Neural Network-MIMO-Digital Filter (MNN-MIMO-CE) is proposed for blind channel equalization. The MNN-MIMO-CE has Feed forward Artificial Neural Network (FANN) with back propagation in Levenberg-Marquardt (LM) algorithm and it has two processes MNN training and MNN testing. LM algorithm is used to train the MNN. These processes are used to provide the CE for different combination of antennas. The performance of the MNN-MIMO-CE method is evaluated in comparison with the existing method [25] through simulations using BER as the performance measure. 03 30 2020 256 261 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7134.038620 https://www.ijrte.org/portfolio-item/F7134038620/ Department of Computer Science Engineering Sri Padmavati Mahila Visvavidayalam Tirupati,India Amtul Waheed P.Venkata Krishna Department of Computer Science Engineering Sri Padmavati Mahila Visvavidayalam Tirupati,India On street parking is one of the important and crucial components of urban traffic and transportation system. Allocation of parking space on street is major reason for traffic congestion. Optimizing traffic congestion and facilitating on street parking is a long stand issue. According to urban environment it is expected that car drivers prefers parking space based on road conditions, speed limit and surrounding activities and availability of parking space. The other major components to be ponder while searching parking space is payment method used while parking the car. This paper investigates car driver’s behaviors in selecting parking payment schemas, visualized data as well predicted via machine learning technique of linear regression analysis on the open data set of On-street Car Parking Meters with Location of City of Melbourne's in the Australian. 03 30 2020 59 64 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7139.038620 https://www.ijrte.org/portfolio-item/F7139038620/ Research scholar, Department of Computer Science and Engineering, Veltech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology (Deemed to be University) Avadi, Chennai, Tamilnadu, India. Ranjeet B. Kagade* Dr. P. Balamurugan Professor, Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology (Deemed to be University) Avadi, Chennai, Tamilnadu, India. 21st century is considered as the era of communication, and Wireless Sensor Networks (WSN) have assumed an extremely essential job in the correspondence period. A wireless sensor network is defined as a homogeneous or heterogeneous system contains a large number of sensors, namely called nodes used to monitor different environments in cooperatives. WSN is composed of sensor nodes (S.N.), base stations (B.S.), and cluster head (C.H.). The popularity of wireless sensor networks has been increased day by day exponentially because of its wide scope of utilizations. The applications of wireless sensor networks are air traffic control, healthcare systems, home services, military services, industrial & building automation, network communications, VAN, etc. Thus the wide range of applications attracts attackers. To secure from different types of attacks, mainly intruder, intrusion detection based on dynamic state context and hierarchical trust in WSNs (IDSHT) is proposed. The trust evaluation is carried out in hierarchical way. The trust of sensor nodes is evaluated by cluster head (C.H.), whereas the trust of the cluster head is evaluated by a neighbor cluster head or base station. Hence the content trust, honest trust, and interactive trust are put forward by combining direct evaluation and feedback based evaluation in the fixed hop range. In this way, the complexity of trust management is carried in a hierarchical manner, and trust evaluation overhead is minimized. 03 30 2020 65 71 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7141.038620 https://www.ijrte.org/portfolio-item/F7141038620/ Department of CS, PRIST University, Thanjavur, India. G. Preethi An efficient data hiding method is proposed in the smart cyber-attacks such as data theft, virus attacks on the transmitting of whole confidential data, partial confidential data via private and government networks. The transmitting data over the internet is one of the better solutions to make a work easy and fast even though protecting data from the smart hackers is vital role in the cyber-crimes. There are various protection techniques of confidential data like digital watermarking, digital signals with embedding data into images, audio and videos. The existing watermarking techniques using RSA is a time consuming process for number of iterations to be performed even in signal decryption of image. These complexities of iterations to be overcome by the Least Significant Bits, DWT transformation and Arnold transformation were failing in all aspects of security requirements. The proposed method of reversible data hiding has an efficient encryption in medical images, health care image and data transmitting in various organizations. 03 30 2020 3647 3650 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7142.038620 https://www.ijrte.org/portfolio-item/F7142038620/ faculty, Indira School of Business Studies, Pune, India. Dr. Kalpana Deshmukh Ms. Kavita Chaudhari M.B.A. HR student, Indira School of Business Studies, Pune, India. Organizations with human resources are facing many challenges while providing high quality service to their employees. Worldwide, HR organizations deployed HR helpdesk for handling the queries and inquiries of employees. They are managing employee queries over email, chats and over telephone by providing consistent solution and assistance to them. Many organizations already deployed helpdesk system which handles the employee queries. This method can work well for smaller organizations, but in larger organizations they often lead to frustration and confusion among HR. HR Case Management technology is a BMC remedy which simplifies this process for HR teams and employees to raise the ticket, which gets automatically routed to the right HR agent. The study shows the transitioning from manual helpdesk to deployment of HR Case Management tool by conducting surveys with the organizations which had already deployed query management tool for their employees. Data analysis technique i.e., Gap analysis is used to identify the gaps between helpdesk and HRCM tool and Pugh matrix is used to choose the best practices and features from alternative set of solutions. This research will provide the information and benefits of implementing HRCM tool, to the organizations who are planning to deploy automated tool for handling the queries of their employees. In this research, survey has been conducted with the companies which have already implemented the automated tool in their organization, this will help the HR to recognize which features and best practices to be adopted for their employees. The operations and HR service function focused on providing automation, knowledgebase, transparency to employees, proper collaboration and employee file management capability to HR department. 03 30 2020 626 629 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7143.038620 https://www.ijrte.org/portfolio-item/F7143038620/ Department of Finance, Accounting, and Taxation, SHEI «Pereiaslav–Khmelnytskyi Hryhorii Skovoroda State Pedagogical University», Pereyaslav-Khmelnitsky, Ukraine. Makarchuk Inna Perchuk Oksana Department of Finance, Accounting, and Taxation, SHEI «Pereiaslav–Khmelnytskyi Hryhorii Skovoroda State Pedagogical University», Pereyaslav-Khmelnitsky, Ukraine Yaremenko Lіudmylа Department of Finance, Accounting, and Taxation, SHEI «Pereiaslav–Khmelnytskyi Hryhorii Skovoroda State Pedagogical University», Pereyaslav-Khmelnitsky, Ukraine. The article reveals the economic essence of cryptocurrency as an information and technological innovation. The authors have determined that cryptocurrency is a universal global means of payment, exchange, and investing, which exists in the form of a highly protected software code and is characterized by a free market exchange rate. Having considered technical, technological, and organizational aspects of using cryptocurrencies, the authors carried out the comparison of electronic money and cryptocurrency. The done analysis of markets and types of cryptocurrencies has enabled to form a ranking of cryptocurrencies by level of capitalization. The article describes the dynamics of the growth of cryptocurrency market capitalization and the domination of a Bitcoin’s market share. The authors have ascertained strengths of Bitcoin, which had allowed this cryptocurrency to become a useful international means of payment with the high investment potential. The article examines weaknesses of the exchange of cryptocurrency both ordinary consumers and governments. The authors have proven that institutionalization ensured by the formal and informal establishment of rules for functioning of cryptocurrency is necessary for effective functioning of cryptocurrency. The authors have substantiated three positions of institutional support describing the attitude of countries to functioning of a cryptocurrency market: a loyal position, categorical position, and position of anticipation. The authors have developed an organizational and economic mechanism for forming a cryptocurrency market based on functions, methods, and tools of management and suggested directions for undertaking a policy in the sphere of functioning of a cryptocurrency market for countries with the position of anticipation. The process of virtualization of modern society is inevitable. Сountries with the position of anticipation should support the course on innovation by solving a range of regulatory, technical and information issues on the development of the cryptocurrency market, based on leading international experience. The primary tasks should be: granting the legal status of cryptocurrency and developing rules for its circulation, introduction of technological innovations with the participation of the state, large corporations and venture funds, creation of an open ecosystem for interaction of all participants, as well as wide information support at all levels. 03 30 2020 72 79 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7144.038620 https://www.ijrte.org/portfolio-item/F7144038620/ Research scholar Periyar University PG Extension center-Dharmapuri K. Geetha* Dr. N. Anitha Department of Mathematics , Periyar University PG Extension center-Dharmapuri , India Abstract: In this paper, the views of anti-reflexive kernel, symmetric kernel, reflexive closure, and symmetric closure of a SS relation are initially presented, respectively. Then, their correct calculation formulae and a few laws are received. Finally, SS relation function and inverse SS relation functions are introduced, and some related conditions are discussed. 03 30 2020 1118 1122 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7146.038620 https://www.ijrte.org/portfolio-item/F7146038620/ PhD Student, Universiti Kebangsaan Malaysia K. Jafri* R. Ramli PhD in Gifu University Japan. A. H. Azman PhD from Univ. Grenoble Alpes, France This paper presents several geometrical tolerance (GT) applications and vibration effects in rotational shaft. The impact of vibrations can damage critical components of machines such as bearings, gears and couplings and can be considered as benchmark for fundamental study to reduce the problem and improve the reliability of the components. Variations of GT in shaft models were applied to evaluate geometrical characteristics in translational and rotational parts featuring defects due to position and concentricity errors. The improvement of the shaft performance was conducted using finite element (FE) to establish minimum circumscribed, maximum inscribed and minimum zone. This approach is more accurate to the real model and assembly of mechanical system. The FE was compared with experimental results. Unconstrained vectors are used instead of the vibration frequency analysis to overcome the effects of the assumptions. Vibration frequencies were simulated by Finite Element Analysis of mechanical rotating shaft. It is found that concentricity characteristic has the highest magnitude compared to other characteristic. These effects should be taken into account in the design, installation and maintenance of rotating shafts. The impact and level of damage of the critical parts in the machine can be a benchmark for further studies for tolerance analysis and reliability. 03 30 2020 262 266 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7147.038620 https://www.ijrte.org/portfolio-item/F7147038620/ Institute of Technology Management and Entrepreneurship (IPTK), Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia Ahmed Husain AlMarzooqi Electricity distribution systems (EDSs) are essential pieces of infrastructure for nations worldwide. However, the key assets constituting these systems can be exposed to various forms of risk. The purpose of this research was to explore and explicate the risk management methods applied to electricity distribution system asset management in the United Arab Emirates (UAE) electricity markets. It was a secondary research that encompassed the use of the existing data to explore this issue and address the research questions. The research findings revealed the electricity distribution system asset management exists in the form of real time, mid-term, and long-term. Moreover, it was found that this system could be exposed to economic, environmental, quality, reputational, vulnerability and regulatory risks. Finally, the research findings revealed risk management methods that could be used to the system in the UAE electricity markets are categorized as simplified, standard, and model-based. This study recommended that UAE companies operating in the electricity industry should apply a holistic risk analysis in their electricity distribution system asset management. 03 30 2020 80 87 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7149.038620 https://www.ijrte.org/portfolio-item/F7149038620/ Associate Professor, Department of ECE, Atria Institute of Technology, Bangalore Research Scholar, Visvesvaraya Technological University, Karnataka, India. Vasanthi Satyananda* Narayanaswamy K V Principal, Atria Institute of Technology, Bangalore, India. Karibasappa Director, Dayanand Sagar University, Bangalore, India. Now-a-days, image processing is extensively used for analysis of several biomedical images to identify the complications in one’s health. Most of the solutions offered are based on application software. Since these solutions are expensive, an embedded system approach is being explored in the recent years, considering its cost-effectiveness. This paper propounds an embedded system approach to identify exudates in retinal images. These exudates are often identified as indicators of a medical disorder known as Diabetic Retinopathy, which is one of the medical complications that arise due to high blood sugar levels. The algorithm employs statistical analysis using histogram to enhance the contrast of the images, thus assisting in extracting exudates by utilising the elementary concepts of image processing. Since the pixel characteristics of exudates and optic disk match, it becomes inevitable to first eliminate optic disk from retinal images, and then extract exudates. The prototype has been developed on MATLAB and is downloaded on an Artix 7 FPGA with minimal usage of its resources. The system proposed in this paper results in an accuracy of 90%. 03 30 2020 727 734 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7153.038620 https://www.ijrte.org/portfolio-item/F7153038620/ Department of Computer Science & Engineering, Shobhit University, Meerut Deepti Varshney* Dr. Mamta Bansal Department of Computer Science & Engineering, Shobhit University, Meerut Dr. Birendra Kumar Sharma Department of MCA, AKG Engineering College, Ghaziabad In the current daily routine the sharing of digital content is increasing in large scale through social media. Every individual is sharing his/her activities like photos, message, etc. through social media (i.e. WhatsApp, Facebook, etc.) to other persons without authentication of all these data and through this general activity of people some people are doing fraud to them or misuse of these data or illegally showing to other people without his concern. To ensure the authentication of digital contents this paper proposes methodology to prove the ownership by Digital watermarking and Intellectual Property Right (IPR). This paper explains the concepts of IPR and proposed alphanumeric watermarking technique for authentication of images and its protection from the fraud or misuse. Digital Watermarking has become one of the research areas in many fields from more than decades. This paper gives the methodology of embedding and extraction techniques for images to prove the authentication of images when required its demand. The result of this proposed technique is shown very helpful to society at a globe. 03 30 2020 2639 2645 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7154.038620 https://www.ijrte.org/portfolio-item/F7154038620/ Associate Professor, IMT Hyderabad,India. Surajit Ghosh Dastidar Forced Grading Systems are popular and accepted for evaluating students, particularly in business schools. Under such systems students' numerical test scores are converted to letter grades (A, B, etc.) and awarded in mandated percentages. In common practice, schools mandate that 10% to 15% of students in a class receive As, 25% to 35% Bs, and 40% to 50% Cs. However, instructors must identify what numerical cutoffs satisfy mandated grade distributions, and that tedious effort might entail several solutions. This study introduces an Excel-based template with which instructors can establish numerical cutoffs that distribute students' grades in accord with mandated standards. Results indicate that the spreadsheet template is an efficient tool to evaluate students following the Forced Grading System 03 30 2020 267 272 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7155.038620 https://www.ijrte.org/portfolio-item/F7155038620/ Assistant Professor, G. H. Raisoni Institite of Enginerring and Technology, Wagholi, Pune, India. Mrs. Vaishali Y. Baviskar Nowadays, a lot of research is going on in healthcare. One of the significant diseases increased all over the world is Diabetes Mellitus (DM). In this paper, the literature review is done on diabetes prediction using Machine Learning and Deep Learning techniques. Various ML algorithms are used using PIDD (Pima Indian diabetes dataset), and improved k- means using logistic regression among all algorithms achieved the highest accuracy. DL algorithms like CNN and LMST used in diabetic retinopathy images. 03 30 2020 3034 3039 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7157.038620 https://www.ijrte.org/portfolio-item/F7157038620/ Assistant Professor (Smt. Chandaben Mohanbhai Patel Institute of Computer Applications, CHARUSAT, Changa, India) Abhilash Shukla Dr. Atul Patel Dean & Principal (Smt. Chandaben Mohanbhai Patel Institute of Computer Applications, CHARUSAT, Changa, India) This paper is based on integration of the biomedical field and computer science. Paper contains the study of bone cancer and features to predict the type of the same. Related work to find cancer in human body using computer vision is discussed in this paper. Image segmentation technique like sobel, prewitt, canny, K-means and Region Growing are described in this paper which can be stimulated for X-Ray and MRI image interpretation. Paper also shows the result of edge based and region based image segmentation techniques applied on X-Ray image to detect osteosarcoma cancer present on bone using MATLAB. Finally, paper concluded by finding best suited segmentation method for grey scaled image with future aspects. 03 30 2020 273 278 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7159.038620 https://www.ijrte.org/portfolio-item/F7159038620/ Division of Computer and Information Science, Faculty of Science, Annamalai University, Annamalainagar, Tamil nadu 608002, India. N. Aswini* R. Ragupathy Department of Computer Science and Engineering, Faculty of Engineering and Technology, Annamalai University, Annamalainagar, Tamil nadu 608002, India The classification of hyperspectral images is a challenging task since it contains unbalanced ratio between the training and testing samples, and number of spectral bands. The detailed spectral data of hyperspectral images increases the ability to individualize the different classes and achieving accurate classification maps. Hence, in this paper, we use spectral data for classification and we address the performance of different supervised classification techniques like logic-based, ensemble-based, statistical-based, non-probabilistic-based and instance-based techniques on spectral features. Experiments are carried out using hyperspectral imagery captured by AVIRIS sensor such as Indian Pines, Salinas and Salinas-A. The appraisal of these supervised classification methods are held with each other in terms of performance metrics such as overall accuracy, precision, recall, F1-score and execution time. 03 30 2020 593 600 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7161.038620 https://www.ijrte.org/portfolio-item/F7161038620/ Azman Hashim International Business School, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia. Heamalatha Krishnan* Siti Rahmah Awang Azman Hashim International Business School, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia. Norhayati Zakuan Azman Hashim International Business School, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia. Khalil Md Nor Azman Hashim International Business School, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia. The concept of Emotional Intelligence (EI) has gained a great amount of public popularity and business attention in the past two decades. EI is currently considered a broadly recognized practitioner instrument for hiring, training, leadership development, and team building by the business people. In this context, the analysis of the evolution and development of this concept is crucial. In order to do so, this study presents the global research trends in EI area. The article presents a bibliometric analysis of 4297 journal articles on EI. These works come from the Scopus database for the period 1966-2018. The study sorts these articles according to the following bibliographic indicators: journal with most published research, highly cited articles, countries with the highest rate of productivity, prolific authors, year of publication, language, and research area. Besides, the study graphically maps the bibliographic material by using the visualization of similarities (VOS) viewer software. In order to do so, the work uses co-authorship among authors and affiliated countries, and co-occurrence of author keywords. Results have shown that since 2005, the number of publications has increased exponentially, resulting in the steady increase in the cumulative total publications until present. The United States (US) is the most productive country. Also, among the most productive university from each of the 15 leading countries, three were amongst the world’s top 100 universities. The prominent authors were Petrides, Konstantinos V. and Extremera Pacheco, Natalio. whereas the top journals were the Personality and Individual Differences, Frontiers in Psychology and Life Science Journal. A network visualisation map showed that ‘emotional intelligence’, ‘emotions’ and ‘personality’ were the most encountered key terms. Therefore, this paper serves as a platform for the new researchers to refer concerning which journals, authors and articles they may consult while establishing the future research direction. 03 30 2020 864 877 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7165.038620 https://www.ijrte.org/portfolio-item/F7165038620/ CSE, BIT, Durg, C.G., India Sushmita Bose Chaitali Choudhary CSE, BIT, Durg, C.G., India Ashok Behra CSE, BIT, Durg, C.G., India Sumit Kumar Sar CSE, BIT, Durg, C.G., India A Recommender System has become the go-to application for the internet generation these days. Mono-variate, bi-variate and multi-variate Recommender Systems are available to consumers of various products and services for the last 10 years or so only. In this paper, opinion mining dependent sentiment analysis using NLP tools will be used to recommend products to their purchasers on e-commerce websites. The application can be developed on the Python platform can be commercially used and will be precisely used to people who have to spend money without traditionally touching or feeling the item. 03 30 2020 4085 4089 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7168.038620 https://www.ijrte.org/portfolio-item/F7168038620/ Information Systems Management Department, BINUS Graduate Program-Master of Information Systems Management, Bina Nusantara University, Jakarta, Indonesia 11480, Jakarta, Indonesia. Ayu Ratna Lalitya Sudjana *Sfenrianto Information Systems Management Department, BINUS Graduate Program-Master of Information Systems Management, Bina Nusantara University, Jakarta, Indonesia 11480, Jakarta, Indonesia. E-Learning has become the latest teaching methods and slowly began to be implemented in various institutions in all corners of the world. Judging from its profits, E-Learning can be accessed by everyone using the internet, the material is instantly available and accessible online, saving the cost of study materials and no need to pay the shipping costs. It is becoming one of the factors that reinforce the use of E-Learning in Toastmasters International institution. The research will focus on proposed a model of factors influencing E-learning usability in Toastmasters International. The model will use based on if the following four factors namely Learning habits, User Satisfaction, Loyalty User, and Ease of User Interface has Usability effect on E-Learning in Toastmasters International. The results of this study suggest that four of these factors affect the usefulness of e-Learning. Therefore, the results of these recommendations will be recommended to the Toastmasters International for the development of E-Learning do better in the future. 03 30 2020 327 332 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7170.038620 https://www.ijrte.org/portfolio-item/F7170038620/ Assistant Professor, Department of Civil Engineering, Maulana Azad National Institute of Technology, Bhopal (MP). Sarvesh PS Rajput Throughout construction management, the problem of deciding amongst two types of pavements is almost always illustrated in the construction of paving built for the heavy vehicle traffic -fall under flexible and rigid pavements. This study shows the outputs of road measurements, deliberately designed with a capacity of 2350kN for commercial trucks. Herein, 2 research evaluations have been performed, i.e. 2 alternative approaches for flexible and rigid paving are presented, as well as a summary of findings has been included with building design as well as the estimated costs of renovations. 03 30 2020 443 445 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7173.038620 https://www.ijrte.org/portfolio-item/F7173038620/ Department of Physics, Covenant University, Ota Nigeria. Akinpelu A. Usikalu M. R. Department of Physics, Covenant University, Ota Nigeria. Onumejor C. A. Department of Physics, Covenant University, Ota Nigeria. Several accessible power supply equipment with different difficulty levels and complexity mostly give a singular DC output that does not provide same use when an Output AC Power that is quite low to a great extent preferred. In this work, a stabilize, fixed and varying power supply device that has output voltage of 0.5 V to 18.15 V variable DC, and current range from 0 - 0.88 A with short circuit protection was constructed by using inexpensive materials, and fuse was used as circuit breaker . Likewise, we examined the regulation attributes of the power supply units that is just been constructed to a specific load regulation to decide its strength by contrasting it with a regular power supply device and ascertain the power supply's effectiveness through its efficiency. Test and examination were carried out utilizing the developed power supply unit to power loads of 10 to 50 Ω. The trend of the output results demonstrated that the power supply was in line with the standard PSU. The output supplied would be useful in research facility estimation to supply the power for direct incorporated circuits, delicate circuits, simple and advanced circuits, TTL and wide-ranging applications necessitating supply force. 03 30 2020 2049 2051 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7180.038620 https://www.ijrte.org/portfolio-item/F7180038620/ Department of Computer Science, BINUS Graduate Program – Doctor of Computer Science, Bina Nusantara University, Jakarta, Indonesia. Erick Fernando Meyliana* Department of Information Systems, School of Information Systems, Bina Nusantara University, Jakarta, Indonesia. Harco Leslie Hendric Spits Warnars Departmentm of Computer Science, BINUS Graduate Program – Doctor of Computer Science, Bina Nusantara University, Jakarta, Indonesia Edi Abdurachman Department of Computer Science, BINUS Graduate Program – Doctor of Computer Science, Bina Nusantara University, Jakarta, Indonesia. The distribution process is one of the processes that occur in all industries, including the pharmaceutical industry. The distribution of medicines in the pharmaceutical industry is the most important to provide quality pharmaceutical products to patients or consumers. With several problems that occur in the distribution of drugs in things that currently should be considered. This happens a lot due to the many drugs that disagree with the provisions or such illegal or false drugs. This research investigates the use of blockchain technology for drug distribution in Indonesia. This research uses a systematic literature review method with related literature. The results of this research found 54 blockchain factors that were used to improve nine aspects of good distribution practices and to ensure the good quality of medicines distributed to consumers. 03 30 2020 2174 2180 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7181.038620 https://www.ijrte.org/portfolio-item/F7181038620/ Department of computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India, D. Khasim Vali* Nagappa U. Bhajantri Department of computer Science and Engineering, Government College of Engineering, Chamarajanagara, India In this work, we propose a work erected to cover song identification riding through a Symbolic Classifier. The classification of a cover song, which is a different variety of an earlier noted song for music retrieval, has received extra consideration. However, there is an urgency to protect the interest of melody music contributors. In view of this, several efforts have been heaping in literature. Systems for Classifying a cover song typically involved in Preprocessing, Extraction of Chroma features and Finally a Symbolic classifier for Identification. 03 30 2020 735 740 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7183.038620 https://www.ijrte.org/portfolio-item/F7183038620/ Department of Information Systems Management BINUS Graduate Program-Master of Information System Management, Bina Nusantara University, Jakarta 11480, Indonesia. Segaf Husein* Ahmad Nurul Fajar Department of Information Systems Management BINUS Graduate Program-Master of Information Systems Management, Bina Nusantara University Jakarta, Indonesia 11480, Jakarta, Indonesia. Cloud computing technology allows a service to be accessed from anywhere and anytime through the internet network, this technology can be utilized for organisations to encourage standardisation of business processes for all business units. Muhammadyah as one of the largest education institution in Indonesia currently operates more than 5000 schools from elementary to high school. In general, all schools have similar business processes that are run manually and have almost identical information system requirements. This condition causes no data structure standardisation, no data consolidation between one school and another and the inconsistency of information system development. These problems become the rationale for designing an information technology architecture model using the concept of cloud computing. Based on the results of the analysis on current conditions and using the chosen TOGAF framework, a cloud computing-based information technology architecture model is produced. The information technology architecture consists of vision architecture, business architecture, application architecture, data architecture and technology architecture. Research is expected to contribute to educational institution in Indonesia, especially as a reference in designing information technology architecture. 03 30 2020 279 285 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7184.038620 https://www.ijrte.org/portfolio-item/F7184038620/ Research Scholar, JJTU, Jhunjhunu, Rajasthan, India, B.Meghya Nayak* Dr. Anupama A. Deshpande, JJTU, Jhunjhunu, Rajasthan, India The exponentially rise within the demands of Induction Motors in several applications has revitalized academia-industries to develop more robust and efficient IM drives. Amongst the main classically available IM drives efforts are made either to regulate speed or torque. However, the problem inculcated due to parametric mismatch and resulting errors have much addressed. Though, predictive control based approaches are found potential to help current and torque control; however, ensuring optimal controllability under non-linear condition remained a tedious task. Filter based approaches to impose delay that eventually impacts overall control performance. Realizing it as motivation, during this research a highly robust Disturbance Observer Assisted Error Sensitive Predictive Control Strategy for IM control is developed. Subsequently, a completely unique Disturbance Observer-based Model Predictive Control strategy is developed that performs predictive current control and torque-control during a non-linear environment. Our proposed model exploits the concept of Prediction-Error to realize transient controllability. Exploiting the error information our proposed model identified the optimal voltage vector value to be injected to the 3-∅ inverter connected to the PI-based Space Vector Pulse Width Modulation system to perform transient controllability. Structurally, our proposed system encompasses SQIM motor, 3-∅ inverter, PI controller SVPWM, Flux-observer, Torque and Speed controllers, VSI units, etc. The MATLAB 2017a based simulation has revealed that the proposed model is able to do better current control, flux-torque control and torque-ripple suppression, which broadened its employability for varied applications demands fast-torque control during a noisy environment. 03 30 2020 630 641 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7187.038620 https://www.ijrte.org/portfolio-item/F7187038620/ is a Ph.D. Research Scholar at Department of Management Studies, Maulana Azad National Institute of Technology (MANIT), Bhopal. Mr. Abhishek Parsai* Dr. Varsha Rokade Assistant Professor Department of Management Studies Maulana Azad National Institute of Technology Bhopal, India The Ministry of Jal Shakti, Government of India aspires to provide piped water supply in all households by the year 2024. At present approximate 18.33% households have been provided with piped water supply, which is much less that the target set to be achieved by the year 2017. With the present methodology for scheme implementation and various reasons associated with poor coverage nd service delivery, it is impossible to achieve the targets. The present research work proposes aDecision Support System based on the Analytical Hierarchy Process (AHP), a Multi-Criteria Decision Making tool for scheme implementation, which could help implementing government and multi-lateral agencies in achieving the desired targets. This will help Central and State Governments for safety of funds to the tune of INR23,000 Crore required to be invested in rural water supply schemes by the year 2030. 03 30 2020 128 134 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7204.038620 https://www.ijrte.org/portfolio-item/F7204038620/ Department of Computer Science and Engineering, Jagannath University, Jaipur, India. Monis Khan* Suraj Yadav Department of Computer Science and Engineering, Jagannath University, Jaipur, India. Over the past few years, biometric systems have become prominent in terms of verification of the user identity due to increased demand of security in the networked society. Iris recognition system is a novel technology for the verification of user which is considered as the most secure, reliable and stable technique. It is generally accepted in the areas with high security. Though, security is major concern in this field, a significant number of approaches have been proposed to secure iris biometrics, But still, there is a scope to improve these techniques. Thus, in this work, a novel model is proposed which employs a bitmask compression technique to secure the template obtained for iris by compressing its actual size. In addition; SVM is used for the classification process. Mean Square Error, Bit Error Rate, PSNR, and GAR are different parameters which are used for measuring the effectiveness of the proposed model. The simulation results are carried out in MATLAB software and the comparative results validated the efficacy of the novel model with respect to security, efficacy and accuracy. 03 30 2020 286 289 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7208.038620 https://www.ijrte.org/portfolio-item/F7208038620/ Department of Mechanical Engineering, School of Mechanical.Chemical and Materials Engineering, Adama Science and Technology University, Adama, Ethiopia. C. Venkatesh* Mengistu Gelaw Department of Mechanical Engineering, School of Mechanical.Chemical and Materials Engineering, Adama Science and Technology University, Adama, Ethiopia. Soloman Dufera Department, Department of Mechanical Engineering, School of Mechanical.Chemical and Materials Engineering, Adama Science and Technology University, Adama, Ethiopia. Varieties of cutting fluids are available in market to facilitate good machining objectives for metal removing Industries. Eventually, majority of the cutting fluids are synthetic and semi synthetic in nature, despite they are helping to the industries but they are harmful to health of the operators and environment. Though they are having good properties needed for machining, nature of non-biodegradability and non-friendliness to the environment are the key barriers associated with these fluids. Various researches have been carried out to prepare a vegetable based bio degradable effective cutting fluid to nullify above said constraints. In this research work, a unique castor oil based cutting fluid infused with nano molybdenum di sulfide (MoS2) particles has been prepared and its performance during machining has been investigated. In this study, much attention has been applied to achieve the optimized parameters of the biodegradable nano cutting fluid. Taguchi's method equipped with gray relational analysis was utilized by considering the size of the nano particles, nano particle inclusion (npi) and flow rate as the chief fluid parameters. The surface roughness and tool wear were treated as responses. As per L9 orthogonal array, totally nine experiments were conducted. Additionally, the most significant parameter which affects the machining responses was identified with the help of grey grade, ANOVA and MRPI ranking. Confirmation test were carried out followed by prediction of grey grade so as to improve the degree of validation. It has been observed that there was significant improvement in gray grade for the optimal parameters. 03 30 2020 2378 2384 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7210.038620 https://www.ijrte.org/portfolio-item/F7210038620/ Department of Science and Technology, Finance and Administrative Division of Science and Technology Information Institute, Philippines. Jaqueline R. Cayamanda-Ballesteros* Ricardo L. Dizon Assoc. Prof., Polytechnic University of the Philippines, Manila, Philippines This study examined the impact of technological changes on partial factor productivity represented by labor productivity in the ASEAN-5 from 1997 to 2016. The technological changes is represented by gross expenditures on Research and Development (R&D), access to mobile phones, access to internet and patent applications. The study employed the quatitative research design to determine the cause and effect relationship between the explanatory variables and the explained variable. Based on the fixed effect model regression results, gross expenditures on R&D with first lag was acceptable and statistically significant at 5% level of significance. On the other hand, changes in access to mobile phones, access to internet and patent applications although reflected the expected sign of coefficient were found to be insignificant. Furthermore, 99% of the variations in labor productivity is explained by the variations in gross expenditure on R&D, access to mobile phones, access to internet and patent applications. Based on the findings, the paper recommends for strong government commitment through the Department of Science and Technology to increase gross expenditures on R&D to at least 1% of GDP and encourage more patent applications. The Department of Information and Communications Technology should look into the underlying Information and Communications Technology development plan of Malaysia and Singapore in terms of access to mobile phones and access to internet. 03 30 2020 154 159 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7212.038620 https://www.ijrte.org/portfolio-item/F7212038620/ Professor and Head, Department of Civil Engineerig, Mahendra Engineering College, Mallasamudram, Namakkal, Tamil Nadu, India. Dr. K. Vidhya* Mr. M. Vignesh Assistant Professor, Department of Civil Engineerig, Mahendra Engineering College, Mallasamudram, Namakkal, Tamil Nadu, India. Mr. P. Dhamodharan Assistant Professor, Department of Civil Engineerig, Mahendra Engineering College, Mallasamudram, Namakkal, Tamil Nadu, India. Mr. S. Manishankar Assistant Professor, Department of Civil Engineerig, Mahendra Engineering College, Mallasamudram, Namakkal, Tamil Nadu, India. The objective of this study is to obtain the most effective utilization of steel and concrete by the method of composite construction through obtaining proper interaction between steel and concrete. Composite construction has various advantages compared to normal method of non composite construction. It provides greater stiffness and provides good strength against bending. By providing proper interaction we can obtain a more economical section and sections with good structural properties It is also a fast track construction practice. Both theoretical and software analysis of normal composite section and a section with profiled steel sheeting have been presented. After analysis it is found that shear connectors and profiled steel sheeting are advantageous in strength increment, reducing deflection and other factors. 03 30 2020 290 294 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7213.038620 https://www.ijrte.org/portfolio-item/F7213038620/ Assistant Lecturer in the Electrical & Communications Engineering department in the British University in Egypt (BUE) Nathalie Nazih* Walid El-Khattam Associate Professor in the Department of Electrical Power and Machines, British University in Egypt (BUE). T.S. Abdel-Salam head of Renewable Energy Department, Faculty of Energy and Environmental Engineering, British University in Egypt (BUE) The increase reliance on competitive electricity market has led to widespread research to reallocate energy sources and minimize the price of energy and the services related to it. The main issues that faces the design of any energy market, is thehigh cost of generation and the high shadow pricesthat highly impacts the consumers.Also,achieving the supply-demand balance and minimization of the transmission congestion is a vital goal while planning. In this paper, a transparent and open competitive market is attained. In order to control the electricity market and reduce the market clearing price, this study proposed introducing renewable energy power plants which has lower electricity generation cost in comparison with the conventional power plants.Minimization of the shadow price is achieved by dividing the electricity grid into multiple regions. Every region has a different shadow price depending on the load demand and the power plants available to supply the demand at this region. Where,the market clearing price of each region is set as the price of generation of the highest power plant sharing in supplying the load demand at this region. This methodology is applied on the Egyptian unified power network.Sizing and allocation of the renewable energy power plantsis studied carefully from the technical and economical point of view to maximize the benefit and minimize the overall cost function and shadow price. 03 30 2020 160 168 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7214.038620 https://www.ijrte.org/portfolio-item/F7214038620/ Dept. of Communication Engineering, Vellore Institute of Technology, Vellore, India. Siddhant Ray* Budhaditya Bhattacharyya Dept. of Communication Engineering, Vellore Institute of Technology, Vellore, India. One of the underlying challenges in infrastructure-based multi-cell wireless networks is ensuring the proper association of a particular mobile User Equipment (UE) to the appropriate base stations (BSs). In the network terminology, this is usually referred to as cell association, user association, cell selection, or BS assignment. For now, the term cell association will be used for further discussion within this paper. In a wireless network with dense deployment of the base stations (BSs), the number of potential BSs with which a UE can be associated increases significantly with the increasing network complexity. The network densification demands the need for designing optimal or distributed cell association schemes. This is because, in case of improper association of UEs with BSs, it may result in increased interference, reduced throughput, inefficient energy consumption, load imbalance and higher latency in both uplink and/or downlink. 5G cellular networks aim to improve the connection speed and provide ultra-low latency through heterogeneous environments. While maintaining these parameters, the Quality of Service (QoS) needs to be maintained along with a sustained data rate. In such a case, the design of efficient cell association scheme for smooth flow of the traffic in the network is a real challenge which needs to be tackled. The aim of this paper is to study cell association techniques for 5G and beyond wireless networks, analyze the benefits of the methods and propose evolved and better solutions for cell association schemes. 03 30 2020 647 653 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7215.038620 https://www.ijrte.org/portfolio-item/F7215038620/ Research Scholar, Rayalaseema University, Kurnool, Assistant Professor, Department of Mathematics, Moodlakatte Institute of Technology, Kundapura, Karnataka State, India. Deepak Shetty M* In this paper the notion of intuitionistic fuzzy ideal of a module over a nearring is considered. We define the notion insertion of factors property (IFP) in case of intuitionistic fuzzy ideal and provide necessary examples and investigate some related properties. 03 30 2020 169 172 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7218.038620 https://www.ijrte.org/portfolio-item/F7218038620/ Doctoral Degree Program in Arts Education at Universitas Negeri Semarang. Ketrina Tiwery* Tjetjep Rohendi Rohidi Doctoral Degree Program in Arts Education at Universitas Negeri Semarang. Totok Sumaryanto Doctoral Degree Program in Arts Education at Universitas Negeri Semarang. Wadiyo Doctoral Degree Program in Arts Education at Universitas Negeri Semarang. Totobuang music is traditional Ambonese music that is usually used in a variety of events both religious rituals and customs, with a diatonic major scale without a semi-tone / half tone. Totobuang itself consists of small gongs with a total of 12-16 pieces that sound melodies, and combined with drums that sound the rhythm. Totobuang music until now is traditional music that is still maintained and exists in modern society with the development of modern music that is growing rapidly. These developments make totobuang music can compete with other modern music. Thus this study aims to analyze and understand the totobuang music enculturation in Ambon City art activities, using qualitative methods with observation data collection techniques, namely directly observing the totobuang music enculturation process, structured and unstructured interviews to get information about totobuang music enculturation. and study documents to support the results of observations and interviews, as well as triangulation techniques to analyze data about how the totobuang music enculturation process in the Ambon City community's wedding activities. The results showed that totobuang music enculturation in the Ambon City community art activities took place through a process of inheritance in a family that continues today. The durability and sustainability of totobuang music in the Ambon City community's art activities has reached six centuries, because there is a cultural awareness from the community to carry out the culture process in their respective families. Art activities that occur in society make totobuang music as traditional music has a place in modern society. 03 30 2020 642 646 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7222.038620 https://www.ijrte.org/portfolio-item/F7222038620/ Research Scholar, Dept. of Logistics Management, Alagappa University, Karaikudi, India. Arivalagan R Dr. V. A. Anand Assistant Professor, Dept. of Logistics Management, Alagappa University Multiple handling and resting of materials at different points in the flow of Supply Chain has come into the limelight in the recent time due to severe cost pressure for the reduction and savings of Logistics costs. The ease of material movement is been on a large focus in-order to achieve cost savings and to have a win-win situation for both the Suppliers and the Customers. With the effect of globalization, the foreign Suppliers are exporting goods to the consignee country by paying customs duty and in-turn the consignee on the receiving end pays import customs duty for the consumption of the goods and on top of it pays an additional storage and handling charges for the Warehousing and Distribution activity in the consignee country. This makes the logistics costs to go up. To tackle this challenge and complexity in the Logistics system, major economies are introducing FTZ - Free Trade Zones or Logistics Parks in major cities. These Free Trade Zones are backed up the concern country’s government and customs authorities. With lot of initiatives coming from the government side but still there is a huge demand gap for these Free Trade Zones or Logistics Parks and many of them are underutilized or rather unoccupied. Still many of the Consumers are relying upon traditional CFA – Custom Freight Agents or other warehouses for getting this service done. But they are missing a big picture of Logistics Cost Savings, Transit time reduction in transferring the goods and the major advantage in tax rebates. At this backdrop, this paper address the major advantage of using the Bonded Logistics Park, developed and promoted by the People’s Republic of China by analyzing the data of an Indian customer who is sourcing more than 70% from China. 03 30 2020 654 657 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7223.038620 https://www.ijrte.org/portfolio-item/F7223038620/ Department of Instrument Technology, AU College of Engineering(A), Andhra University, Visakhapatnam, India. Ravichandra B* Lakshmi Narayana Reddy B* Department of Instrument Technology, AU College of Engineering(A), Andhra University, Visakhapatnam, India. B. Keerthi Priya Department of ECE, Gayatri Vidya Parishad College of Engineering (A), Visakhapatnam, India. D.Akhila Reddy Department of ECE, AU College of Engineering(A), Andhra University, Visakhapatnam, India. Dr A. Daisy Rani Department of Instrument Technology, AU College of Engineering(A), Andhra University, Visakhapatnam, India. For effective livestock management identification and control of parasites and bacteria is a challenging factor. Parasites, worms and bacteria has a huge hazard to the health of animals, which can harm the gastrointestinal tract, and result in decreased propagative routine, diminished development rates, less yield in terms of meat, fiber and milk, even leads to death of the animals, which in turn causing health problems for human society also. A proper knowledge of animal parasites by identification of them and application of the proper antibiotic or vaccine in appropriate dosage will improve the quality of the livestock and its byproducts leading to the more profits to the farmer. The livestock farms are located at the remote places and the communication between the veterinary doctor to the farmer is poor, took long time and expensive. This can be overcome by utilization of the digital technology and automation of the process which can be handled by a layman at the field to provide electronic information for both e-prescription for intermediate treatment and the information to the expert at the remote location for proper diagnosis and validation of the electronic prescription. Digital image processing of the microscopic pictures with high resolution cameras from the samples of the animals will provide a platform for automation of the process. The detection of the parasites and its stages can be done by denoising the images, segmentation of the parasites, templating the images for isolation of parasites and bacteria by comparing them with preloaded data of different types of parasites and their different stages leads to the identification of parasites, bacteria and giving the electronic prescription within a short period then the diagnosed report can be sent to the expert for validation.In the present paper the authors have proposed a smart system for tele-monitoring and mobile health management system. 03 30 2020 658 664 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7224.038620 https://www.ijrte.org/portfolio-item/F7224038620/ Department of Information and Communication Engineering, Noakhali Science and Technology University, Noakhali, Bangladesh. Ishtiaq Ahammad Md. Ashikur Rahman Khan Department of Information and Communication Engineering, Noakhali Science and Technology University, Noakhali, Bangladesh. Md. Saifur Rahman Department of Information and Communication Engineering, Noakhali Science and Technology University, Noakhali, Bangladesh. Tanvir Zaman Khan Department of Information and Communication Engineering, Noakhali Science and Technology University, Noakhali, Bangladesh. Nishu Nath Department of Information and Communication Engineering, Noakhali Science and Technology University, Noakhali, Bangladesh. In all respects of the last five decades, integrated circuit technology has advanced at exponential rates in both productivity and performance. Giga-Scale Integration (GSI) System-On-A-Chip (SoC) designs have become one of the main drivers of the integrated circuit technology in recent years. The objective of this work is to understand the challenges of Giga-scale SoC integration in nanometer technologies, and identify promising conveniences for innovation. Physical designs are crucial for SoC integration and in our work we identify them with details. In future the couplings and interactions among system components will increase as we put more of the system on a silicon die. Therefore the system designers will face challenges in several areas and we describe these future challenges briefly. Developing a design driver for GSI SoC design is important. With the help of this design driver we provide the design methodology, which ensures the high performance of the design. We present two noteworthy solutions which overcome the challenges of GSI SoC design. One is reuse and integration and another is efficient bus architecture. We also provide the challenges for verification of GSI SoC and methods to overcome these challenges. 03 30 2020 741 746 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7225.038620 https://www.ijrte.org/portfolio-item/F7225038620/ Pursuing Bachelor’s Degree, Computer Science, MES College of Engineering, Pune University. Vinay Poduval* Ashish Koul Pursuing Bachelor’s Degree in Computer Science, MES College of Engineering, Pune University. Daniel Rebello Pursuing Bachelor of Engineering (BE) degree, Computer, Modern Education Society's College of Engineering. Karunesh Bhat Pursuing, Bachelor of Engineering (BE) degree, Computer, Modern Education Society's College of Engineering. Miss Revati M Wahul Faculty, Computer Engineering, M. E. Society’s College of Engineering, Pune. Cloud Computing has made it possible to provide individuals as well as organizations with a utility that is cost-effective. It empowers businesses by delivering these services using the internet. Files can be shared through the cloud. These files may contain sensitive information that needs to be kept hidden from anonymous users. This is done using cryptographic algorithms. High level of security can be provided using hybrid cryptography to encrypt the data. Advanced Encryption Standard (AES) and Triple Data Encryption Standard (3DES) are the symmetric key encryption algorithms used to secure. An asymmetric key encryption algorithm, Rivest-Shamir-Adleman (RSA) helps in providing a hybrid cryptography model. The security of the key generated can be further enhanced using image steganography method Least Significant Bit (LSB). These issues regarding the security and its challenges will be addressed in this paper and also analyse the measures to handle it. 03 30 2020 665 667 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7227.038620 https://www.ijrte.org/portfolio-item/F7227038620/ Master’s, Department Information System Management, Bina Nusantara University, Jakarta Sri Hesti Mahanani Valentinus Master’s, Department Information System Management, Bina Nusantara University, Jakarta Dennis Master’s, Department Information System Management, Bina Nusantara University, Jakarta Tuga Mauritsius Master’s, Department Information System Management, Bina Nusantara University, Jakarta Nowadays there is much news on the internet. It makes the reader become information overload. The reader does not know the most important news for them. The digital era, especially in Indonesia, generated data in Bahasa very fast that referred to as big data. Data mining by process big data can collect the data insight that the reader already read. This paper proposes a new model to proceed with Bahasa news and use the TF-IDF method to collect the feature of the article. Cosine similarity from the news article used to rank the new unknown articles to recommend articles based on their preference. we can filtering the stream of information and highlight the most likely article they will read but based on their preference that we already collect implicitly from the article that they read it, it’s a scroll depth of the article they read.Then we can serve the news more personalized from what they love to read. 03 30 2020 173 178 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7231.038620 https://www.ijrte.org/portfolio-item/F7231038620/ Department of Computer Scienceand Engineering, ,Saveetha school of engineering ,Saveetha Institute of Medical and Technical Sciences,Chennai, India. C.Kavya sree* G. Divya Assistant Professor, Department of Computer Science and Engineering, Saveetha school of engineering, Saveetha Institute of Medical andTechnical Sciences, Chennai, India. In biometric acknowledgment, which is generally utilized in different fields. As of late, numerous profound learning strategies have been utilized in biometric acknowledgment, attributable to their points of interest. In this deep learning process we adjust the existing network structure and providing the modified routing algorithm technique which is depends on dynamic routing between two capsule layers. This layers helps to maintain and adopt a iris recognition. Various iris data sets are used for recognition. These datasets are trained and tested with the help of different pupil size of an iris. In order to show the recognition ability when the environment varies. The test of dataset achieves 96.2%. CASIA-V4 Lamp dataset gives the highest accuracy of 98.34%. It shows the apply of capsule network in iris recognition. 03 30 2020 668 671 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7236.038620 https://www.ijrte.org/portfolio-item/F7236038620/ Mechatronics Engineering Department, the University of Jordan, Amman, Jordan. Al-Habahbeh O.* Bino B. Mechatronics Engineering Department, the University of Jordan, Amman, Jordan Surbil M. Mechatronics Engineering Department, the University of Jordan, Amman, Jordan, Badrieh M. Mechatronics Engineering Department, the University of Jordan, Amman, Jordan, Khasawneh S. Mechatronics Engineering Department, the University of Jordan, Amman, Jordan This work presents a method to control the stiffness of a hybrid actuator. The resulting stiffness is required to meet the conditions of real life applications, such as human prosthetics, human-robot interaction, and delicate robot interaction. The hybrid actuator is basically a pneumatic-hydraulic muscle, which can operate simultaneously in both pneumatic and hydraulic modes. The main challenge in this work is to manage the switching between pneumatic and hydraulic modes. In pneumatic mode when a load is applied to the actuator, air in the tank is allowed to compress resulting in muscle extension. While in hydraulic mode, the fluid is pressurized and the resultant system stiffness is higher. In both cases, the McKibben muscle is full with hydraulic fluid. It has been shown that the performance of the actuator is mostly the same in terms of response and bandwidth in both modes of operation. The use of different types of controllers to improve the system performance is investigated. It is found that the parallel configuration combined with PID controller is the best solution for achieving the required muscle performance. 03 30 2020 179 183 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7241.038620 https://www.ijrte.org/portfolio-item/F7241038620/ Assistant Professor, Mechanical Engineering, Shri Ramdeobaba College of Engineering and Management (RCOEM), Nagpur, India. Dr. Pranil V. Sawalakhe Jahier Abbas Shaaikh Lecturer, Mechanical Engineering, Debre Tabor University, Ethiopia. Unmanned aerial vehicles are widely used in military and civilian fields in recent years. Quadrotor Unmanned Aerial Vehicles (UAV) have high advantage among other UAV’s, in different categories, due to their ability to hover, and Vertical Take-Off and Landing (VTOL) capability. The mathematical simulation method can be adopted for analysis of UAV. The simulation method can reduce the flight period, cost and risk and improve its performance while Vertical take-off and landing (VTOL). While landing of UAV, the kinetic energy of vehicle is absorbed by UAV frame resulting in high stress concentration. The stresses are also produced in other parts of the UAV. The effect of the landing loads and stresses on the airframe of the quadrotor unmanned air vehicle must be completely understood and the UAV must be designed accordingly in order not to damage during landing.These stresses can be analyzed by simulation method to ensure the sustainability of UAV structure. This work includes structural and frequency analysis for Quadrotor UAV chassis. 03 30 2020 672 680 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7243.038620 https://www.ijrte.org/portfolio-item/F7243038620/ Research Scholar, Department of Computer Science & Engineering, VTU RRC, Bangalore, City, India. Dinesh M. Dr. Prakash S. Department of Computer Science & Engineering, East Point College of Engineering, Bangalore, India. This paper is an outcome of investigation to understand how the technology has been involved in monitoring the quality of water in realtime situation around the world. From the review of many papers it’s evident that water quality monitoring system is very much essentional as the scarcity of potable/good quality water has increased across the world due to various reasons, and its found that new technological methods are used to measure various parameters like Dissolved Oxygen, pH of water, turbidity, temperature etc . Many technologies are used to measure the level of contamination at lakes and other water resources. These technologies are invented in silo for specific measurement. We need an integrated approach to get the measurement of contamination by encompassing in all the angles. With the emergence of technologies like IoT, Cloud, Robotic Process Automation (RPA)., we will be able to develop technology platform that will enable to extrack data which comprehends wide variety of contaminants. This paper specifically focuses on the survey of new emerging technologies that can be integrated for measuring contamination with high precision and accuracy in lakes and rivers. 03 30 2020 747 753 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7247.038620 https://www.ijrte.org/portfolio-item/F7247038620/ Ph.D. Scholar, Department of Computer Science, Dr. C.V. Raman University, Bilaspur (C.G.), India. Pratibha Verma* The foundation of data mining techniques using decision tree methods played a crucial role in the identification and classification of diseases. In the utilization of decision tree classifiers to develop the robust classifier for classification of Coronary Artery Disease data set namely Z-Alizadeh Sani and extension Z-Alizadeh Sani. We have used three decision tree techniques Random Forest (RF), Classification and Regression Tree (CART), J48 (C4.5) and made two ensemble models. These ensemble models have different combining rules like voting and stacking. The Voting Scheme model Vote (J48, RF, CART) and stacking Scheme model Stack (J48, RF, CART) have our proposed model. The findings are compared in individual and ensemble models classifier with 5-Fold Cross-Validation and 10-Fold Cross-Validation. The finding of the proposed ensemble models can be used in the detection and evaluation of Coronary Artery Disease (CAD). 03 30 2020 940 944 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7250.038620 https://www.ijrte.org/portfolio-item/F7250038620/ Lecturer, Government Girls Polytechnic Moradabad, Lucknow, India. Kamal Singh* Kuldeep Sahay Professor, IET, Lucknow, India. In this paper different non-dissipative snubber circuits in which RCD snubber circuit, CD snubber circuit, LCD snubber circuit and proposed LCD snubber circuit are implemented in SEPIC converter to obtain high static gain. The snubber circuit is used for the protection of the power semiconductor devices. The requirement of high static gain is necessary in different applications of dc-dc converters, so that efficient operation of the system can be obtained. The basic idea of the snubber circuit used in this paper is to reduce the turn-on and turn-off losses at the time of switching processes. For this purpose, inductor and capacitor combination is required so that during turn-on process, sudden change in current through semiconductor device which is used as a switch, can be reduced. Similarly, during turn-off process, sudden change in voltage across switch can be minimized. Here, different snubber circuit based SEPIC converters are analyzed with the help of MATLAB simulink and results of output voltages and currents are obtained. The results are summarized which clearly shows that the proposed SEPIC converter has high static gain in comparison of the others topologies. Hence non-dissipative snubber circuit based SEPIC converter provides high efficiency than the other modifications in SEPIC converter. 03 30 2020 754 757 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7253.038620 https://www.ijrte.org/portfolio-item/F7253038620/ Associate Professor, Computer Science department, SRM Institute of Science and Technology, Chennai, India. Dr. A. Pandian* Bipasha Biswas Student, Computer Science Department, SRM Institute of Science and Technology, Chennai, India. Abhishek Kumar Student, Computer Science Department, SRM Institute of Science and Technology, Chennai, India. The world is moving at a rate too fast for us to fathom. Our world is not functionally accessible for individual of any disability to be completely independent. For the mankind to move forward with time, a holistic approach in development can create an environment where no individual can feel overlooked. It is estimated that approximately 1.3 billion people live with some form of vision impairment out of which 36 million people are blind [1]. Without proper integration of such people in our society; every discovery, every news is creating a divide between the people whose mental abilities are impalpable otherwise. With this paper, our aim is to convert the Braille books written in regional language (in this case, Hindi) into its corresponding text format so that those people can be part of the world every Scientist, Engineer, a Visionary, every child dreamed of. In this project, a picture of braille text would be fed as an input and a series of techniques in preprocessing, Segmentation, Character Extraction, Character Recognition and Text Conversion will be applied to it resulting in an output image that will be the corresponding Hindi format of that braille text image. The main application of this could be seen in the lives of the families of the visually impaired to understand what is inscribed in the braille format, correction of the answer-script of any braille exams, cross-checking for errors in manufacturing of braille documents, and increase in opportunities for participation of visually impaired in the social section of life. 03 30 2020 681 685 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7255.038620 https://www.ijrte.org/portfolio-item/F7255038620/ Professor, Department of Computer Science and Engineering, MLR Institute of Technology, Hyderabad, India. Dr. Suwarna Gothane Thyroid diseases are common worldwide and affecting health life. Health care is an inevitable task to be done in human life. In this paper, we have made an attempt to diagnosis hypothyroid. This paper analyzes few essential parameters affecting thyroid. Data mining acts as a solution to many thyroid healthcare problems. To overcome the problem we have come here with a novel solution approach to identify key factors affecting hypothyroid using WEKA tool 3.8. This paper presents thyroid data analysis, classification and prediction. The result of the proposed work used for the forthcoming identification to keep track on important factors affecting hypothyroid. 03 30 2020 601 604 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7261.038620 https://www.ijrte.org/portfolio-item/F7261038620/ Department of CSE, FET, Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India. K. Swarna Krishnan K. Jerusha Department of CSE, FET, Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India. Dr. Poonam Tanwar Department of CSE, FET, Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India. Ms. Shefali Singhal Department of CSE, FET, Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India. The world populationsupposed to reach 9.8 billion by 2050 and is difficult of feed such population . So for feeding the entire population the agriculture sector should be embed with IOT and farmers also should adopt this technology [1]. It is essential to increase the productivity of farming and agricultural process with the help of technologies like IoT.IoT can make farming easier by reducing the cost by decreasing the intervention of farmers in this field through automation. This paper aim is to develop a self- autonomous agriculture system works by connecting physical devices and systems to the internet. IoT is a very promising technology to drive the agricultural sector, it is the backbone for sustainable development mainly in developing countriesthat are experiencing rapid population growth like China, India etc, stressed natural resources, agricultural productivity reduction due to climate change. Hence the paper aims at making the agriculture smart using IoT technologies. The projects include a GPS based robot to perform tasks like weeding, spraying, moisture sensing, bird scaring, keeping vigilance, etc. This project requires smart irrigation with smart control and best decision making based on accurate real time data. Thisincludes crop management, waste management, warehouse management, theft control etc. Controlling of all the operations will be through a remote smart device like phone or computer connected to Internet and the operations will be performed by using sensors, Wi-Fi or ZigBee modules, cellular, LoRa,camera and actuators with micro-controller and raspberry pi [2]. 03 30 2020 758 762 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7264.038620 https://www.ijrte.org/portfolio-item/F7264038620/ Department Civil Engineering, Centurion University of Technology and Management, Odisha, India. Siba Prasad Mishra Saswat Mishra National Institute of Construction Management and Research. Mohammed Siddique* Department Mathematics, Centurion University of Technology and Management, Odisha, India The architecture, engineering and construction (AEC) industry, in India is flourishing due to urbanization, industrialization and modernization. The orthodox concept of construction was design-bid builds method or Integrated Project Development methods have been replaced by “lean construction” concept. The lean concept adaptation in AEC is contemporary to the socialistic working tool of the Anthropocene epoch during mid of 20th century. The studies on lean concept is highly relevant in the present social and ecological prospective which promote environmental sustainability, labour manager coordination and collaboration. The lean concept can enhance production and productivity in construction industry through effective implementation of lean labour management. The concept emphasizes on coordination, collaboration, team spirit with humane approach to labour management. The concept results in lowering cost , reduction and elimination of wastage, higher level of motivation , retention of workforce , innovation and implementation of result oriented management practices and achieving customer’s delight. The Takt time and last planners system is to be introduced with lean labour. The construction works on its flow processes require the value stream such as 6M’s (Men, Material, Machines, Methods, Mother Nature (environment) and Measurement), working under 5T’s principle (transparency, teamwork, technology, time, which shall lead to transformations) to be implemented within the AEC sector from grass root to top. 03 30 2020 1159 1169 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7267.038620 https://www.ijrte.org/portfolio-item/F7267038620/ Department of Chemical Engineering, Institute of Engineering & Technology Lucknow, U.P., India Suresh Kumar Patel Deepak Singh Department of Chemical Engineering, Institute of Engineering & Technology Lucknow, U.P., India Brajesh Kumar Department of Chemical Engineering, Institute of Engineering & Technology Lucknow, U.P., India Dhananjay Singh* Department of Chemical Engineering, Institute of Engineering & Technology Lucknow, U.P., India In the present research article, physicochemical parameters of raw and distilled water of the Gomti River are estimated and compared with standards of drinking water quality by using a modified double slope solar distillation unit. The raw water as five different samples collected from different locations of Gomti River (Lucknow, Uttar Pradesh, India) was treated. Total number of 16 physiological and biochemical characteristics and parameters of raw and distilled water are estimated such as electrical conductivity (3.62 ± 0.176 to 3.21 ± 0.52), TDS (837 ± 49.65 to 682 ± 15.73), pH (8.7 ± 0.18 to 8.9 ± 0.50), alkalinity (223 ± 9.23 to 215 ± 3.36), total hardness (347 ± 19.82 to 313 ± 11.2), DO (5.79 ± 0.36 to 3.29 ± 0.67), chloride (104 ± 3.4 to 108 ± 4.9), nitrate (7.21 ± 0.29 to 7.93 ± 0.83), BOD (3.27 ± 0.79 to 2.24 ± 0.27), TSS (403.27 ± 0.19 to 214.07 ± 0.32), COD (39.56 ± 0.76 to 33.2 9± 0.17), sulphate (452 ± 0.63 to 321 ± 1.67) and Ecoliform (3100 ± 3.93 to 2750 ± 2.45) which were within the range of World Health Organization & Bureau of Indian Standers approved standards. It is observed that this fabricated modified double slope solar still is producing drinkable water as per the requirement for solving the water scarcity problems in especially coastal & arid areas due to shortage of electricity. Experimental results show that solar still is producing 8-9 liters in the summer & 4-5 liters in the winter seasons. 03 30 2020 686 692 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7268.038620 https://www.ijrte.org/portfolio-item/F7268038620/ Associate Professor, Department of Civil Engineering, Smt. Kamala and Shri. Venkappa M Agadi College of Engineering and Technology, (SKSVMACET) Lakshmeshwar-582116, Karnataka State, India. Vijayakumar Halakatti* A study on the crack propagation, strength and ductility performances of some self-compacting concrete (SCC) structures with and without steel fibers can be made through experiments. But testing is laborious. For large structure like dam, testing is impossible. Sometimes, there could be insufficient laboratory facilities. Under such circumstances, the non-linear analysis of concrete structures became a novel design tool. It employs the power of computer simulation using finite element method (FEM) based software to support the structural engineers. The ATENA software uses smeared crack approach and is based on the Bazant’s crack band theory. The experimental total fracture energies of both SCC and steel fiber reinforced SCC (Steel fibers of length 25mm@ 0.6% by volume of mix) beams of strength M50 determined by RILEM’s work of fracture method, corresponding material properties and tension softening behavior are used as input data in the software. The simulated load-deflection/CMOD curve could be used to access the strength and ductility performances of the structures. The strength is identified by peak load and ductility by extension of tail end of this curve beyond yield load. Hence, this paper presents an appropriate methodology to determine the performances by simulation. Ductility is the desired property required for structures during earthquake. This can be improved by increasing the main steel reinforcement, incorporate fiber reinforced plastic (FRP) and steel tubes to impart it. But this could be uneconomical. In such cases, it is to be investigated that ductility can be improved by incorporating steel fibers of appropriate aspect ratio and volume in the mix. The ductility ratio (μ) determined from the load-deflection/CMOD curves is further used to evaluate the response reduction factor(R) by an empirical formula as established in earlier investigation. The R used in base shear formula of IS 1893(Part-I)-2002 code considers the ductility property of the structures that are subjected to lateral base shear during earthquake. Thus this study is carried out to identify the usefulness of simulation technique which is a new and robust tool to assess these performances of the structures using ATENA software that avoid the tedious testing procedures. This study investigates the influence of steel fibers in SFRSCC structures to improve their strength and ductility performances compared to SCC structures. 03 30 2020 763 775 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7271.038620 https://www.ijrte.org/portfolio-item/F7271038620/ Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India Ashishika Singh S. Babu Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Travel and tourism is a field, which have been growing substantially over the past few decades. The competitiveness in marketing and need of fulfilling customer experience in travel have given many opportunities for today’s technological advancements to play a crucial role in it. Those technology aspects are Big Data and Data Mining. Data Mining uses technologies of statistics, mathematics, machine learning and artificial intelligence. It aims to classify original, valid, useful, potentially and understand correlations and patterns. Data mining with the help of Big Data - Hadoop can help analyze and derive information, which can increase the growth of industry and give accurate suggestion to customer. The reason of combining capabilities of Hadoop is it can handle all sorts of data such as Structured or Unstructured. The main objective of this project also revolves around the same principle giving the best Customer Experience. By combining the power of Data Analytics of data mining, Big Data and programming capabilities of Java, this project focuses on building a customer centric Keyword Aware Travel Route Framework.” 03 30 2020 2052 2056 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7275.038620 https://www.ijrte.org/portfolio-item/F7275038620/ Research Scholar Dr. C. V. Raman University, Bilaspur Arvind Tiwari* Dr. S. M. Ghosh Professor Dept. of CSE Dr. C. V. Raman University, Bilaspur Saurabh Mitra Associate Professor Dept. of ECE saurabh Dr. C. V. Raman University, Bilaspur The Open and Distance Learning (ODL) framework has demonstrated a huge development during the previous barely any decades because of its one of a kind component of being an easy to use framework. In this framework, the understudies are allowed to learn at their own pace and comfort while being endlessly from the establishment. This uniqueness and the simplicity of picking up information have a vital task to carry out in encouraging the present developing information society. Data and correspondence innovation (ICT) has altogether influenced the procedure of affirmation in higher instructive organizations. ICT likewise improves the collaboration between the understudies and the foundation just as academician as well. ICT based apparatuses and innovation not just valuable for the customary method of instruction it additionally assumes significant job in open and separation learning mode and improves the offices of the establishment for the students. It has given an edge to available resources of customary type of confirmation process and has given new measurements to online affirmation. The article expects to gauge the effect of ICT on online confirmation process in higher instructive establishments in the province of Chhattisgarh. The system of the investigation plans to discover the between impact of ICT among the scholarly foundations for the online confirmation process in the province of Chhattisgarh. The result proposes ICT selection during the time spent confirmation among scholarly establishments in the province of Chhattisgarh for the open and separation training. 03 30 2020 2646 2648 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7276.038620 https://www.ijrte.org/portfolio-item/F7276038620/ Lecturer, Niger State Polytechnic Zungeru,Nigeria. Abdul-Azeez Bashirat Mustapha Prof Mydya (Dr) Mohd Hisyam Rasidi Lecturer, Niger State Polytechnic Zungeru, Nigeria. Lar (Dr) Ismail Said Professor, Niger State Polytechnic Zungeru, Nigeria. Domestic water supply and wastewater management are essential indicators of urban quality of life globally, and yet remain major environmental issues in Nigeria. The rapid growth in population has resulted in a higher rate of wastewater generation in Nigerian cities. However, many city plans are unable to cope with these issues appropriately. As a result, the poor management of wastewater is an ever-present problem with its attendant risks to public health and environmental safety. Therefore, this study attempts to analyse the control of urban development and management of domestic wastewater in Suleja, Nigeria. The study critically examines the current urban planning systems and presents an overview of selected technologies adopted for the decentralised treatment and disposal of wastewater in emerging nations. To this end, a documented and dissertation based analysis technique was employed in this study. Firstly, the paper begins by providing a methodical framework for comparative examination of the centralised and decentralised systems. The legal setting and policy framework, present city plan, and wastewater management are also explained. The study finds that loose development control and organic growth of residential development have a strong influence on wastewater management in the community. 03 30 2020 5781 5786 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7278.038620 https://www.ijrte.org/portfolio-item/F7278038620/ Assistant Professor, E&TC Department, D.Y. Patil College of Engineering, Akurdi, Pune. Lina D. Desai Dr. R.P. Singh Professor, Maulana Azad National Institute of Technology, Bhopal, MP, India. Dr. D.G. Khairnar Professor, Electronics and Telecommunication D.Y.Patil College of Engg. Akurdi, Pune. In India 60 percent of total cultivated land is fully dependent on rain and if there is less than average rain fall than it results into significant reduction in the overall agricultural production and it leads heavy losses to farmers and ultimately it affects the overall gross domestic production of India. Banana is an important fruit and it is one of good cash crop in India. In this research work, our aim is to design and implement Banana Crop System (Banntex) to sense crucial parameters and early detection of diseases and control using Wireless Sensor Networks (WSN) and Internet of Things (IoT). To implement Banntex we uses advancement of new technology like Internet of Things (IoT), Sensors development and Improved Wireless Sensor Networks, we can design and developed Precision Agriculture systems in which various sensors are used to measure the different parameters like temperature of air and soil, relative humidity, water potential of banana field, pH value of soil, Electric conductivity of soil, salinity of banana field soil, Moisture changes in soil, soil quality, fertility of soil, ground water quality and crop growth. Based on the measured parameters this system can be used to control and automate the farming processes. This precision system empowers farmers to keep updated, early detection of soil parameters and take necessary steps to improve it further. It results to improve the biomass, roots and overall growth of banana crops and finally it increases productivity and improved quality of farming with minimum manual tasks. Experimental results will show the significant improvement in the Banana crop production and Quality of Banana Fruit using our proposed Banntex System. 03 30 2020 693 699 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7280.038620 https://www.ijrte.org/portfolio-item/F7280038620/ Asst.Prof., Dr.MGR Educational Research Institute University, Chennai, 600095, India. M. Narmatha* S. Muralikrishnan Asts.Prof,. Arignar Anna Instituteof Science and Technology,Chennai,602117, India Unfortunately the concrete structures are exposed to fire, which may cause reduce in strength of structural components. In this article , the research , the effect of chloride (NaCl) penetration and temperature variations on metakaolin using in concrete. Here M60 grade concrete mix used and the concrete cubes (150 mm × 150 mm × 150 mm) are cast for cement replacement by metakaolin with 0%, 5%, 10%, 15% and 20%. The 0% specimens are considered as ‘Controlled Specimen’. Then these specimens are tested after 28 and 90 days for various temperature of 100, 200, 300 and 400°C with 1, 2 and 3 hour duration and same cubes are cast for M60 mix proportion and tested for Rapid Chloride Penetration Test and use 5% Sodium Chloride ( NaCl) concentration. The graphical Presentation is clearly shows that variations in compressive strength for cement replacement by metakaolin in concrete for chloride penetration and different temperature. For chloride penetration results shows that up to 10% to 15% replacement of Metakaolin, concrete gives good compressive strength and after it goes on decreasing,. Thus 10% give a desirable percentage of replacement. And also compressive strength drastically increasing with the age of concrete for various temperature exposures. 03 30 2020 3081 3086 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7281.038620 https://www.ijrte.org/portfolio-item/F7281038620/ Department of Information System Management, Bina Nusantara University, Jakarta Sri Hesti Mahanani Sovia Alatas Department of Information System Management, Bina Nusantara University, Jakarta. Tuga Mauritsius Department of Information System Management, Bina Nusantara University, Jakarta Waste is one of the biggest problems in Indonesia. The number increases with increasing population and lead to the development of waste bank that are manage irregularly by the community. By implementing digital business using SOA, the entities in the waste management ecosystem will be integrated. An end to end processes will be centralized into one application and automation making this business can be controlled efficiently. The use of digital business promises to encourage Indonesian citizens to manage waste by selling garbage to waste banks and revolutionizing the way in organizations accelerate processes and competencies and take leverage of market opportunities. The proposed system is a functioning mobile and web-based application as an enabler of environmental ecosystems, especially waste management problem. Waste disposal from household, market, office, roadside, commercial areas and various location will be deposited to the nearest waste bank. Regarding to this issue, we created digital business planning based on Service Oriented Architecture (SOA) for waste management. 03 30 2020 813 817 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7282.038620 https://www.ijrte.org/portfolio-item/F7282038620/ Master of Technology Scholar, Department of Mechanical Engineering, Kurukshetra University, Kurukshetra, Haryana, India. Sharad Chandra Irfan Khan Assistant Professor, Department of Mechanical Engineering, Kurukshetra University, Kurukshetra, Haryana, India. The work proposes that the ergonomic infrastructure of any organisation consisting of structural, technical, relational condition between organisational and stakeholders plays an important role as whole in the development of the ergonomics conditions. These conditions focus on positioning of stakeholders towards ergonomics issues, relationship between stakeholders and strategies they used for implementations. It also includes influences of the culture, attitude and exception of the organisation into implementation of ergonomics as engineering process. It is important to include all such elements because it causes issues at the time of ergonomics proactively (design phase), reactively (in response to injuries, discomfort and compensation claim). 03 30 2020 776 784 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7285.038620 https://www.ijrte.org/portfolio-item/F7285038620/ Assistant Professor, Department of Computer Science and Engineering, St Joseph’s Institute of Technology Affiliated, Anna University. Chennai, Tamil Nadu, India. Vinora A. In this paper, we introduce a novel smart storage container for tracking the level of solid commodities (dal, rice, sugar, salt,, etc.,) stored to assist in inventory management without human interaction. The intelligent container is an application of Internet of Things (IoT) in kitchen automation. This technology incorporates an ultrasonic sensor that uses pulse echo method to monitor and sense the level of solid commodity kept within storage containers. A microcontroller monitors the level of commodity with the help of sensors and assists in tracking the quantity of commodity. Pulse echo method determines the difference between an empty container and a particular level of completion based on frequency values taken as threshold values. The microcontroller enhanced along with a GSM modem notifies the user or house owner and a request is sent to the store to deliver the commodity on the verge of completion. The smart and intelligent container provides personal assistance in monitoring the usage of day-to-day kitchen commodity. 03 30 2020 785 788 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7287.038620 https://www.ijrte.org/portfolio-item/F7287038620/ Esri India Technologies Ltd, University School of Environment Management, Guru Gobind Singh Indraprastha University, New Delhi, India. Seema Joshi* J.K. Garg University School of Environment Management, Guru Gobind Singh Indraprastha University, New Delhi, India. Amarjeet Kaur University School of Environment Management, Guru Gobind Singh Indraprastha University, New Delhi, India. Landslides are highly threatening a phenomenon which is very common in hilly region and mountainous regions. These landslides trigger major risks leading to heavy losses in terms of life and property. Many studies were conducted globally to determine Landslide vulnerability of different locations. In order to assess vulnerability, there were few studies around Landslides Susceptibility mapping also whose main objective is to identify high-risk vulnerable areas, there by applying measure to reduce the damage caused, if it were to happen in near future. In literature, there are many methods available for predictive susceptibility mapping of landslides. However, identification of any of the prevalent method for a specific area require utmost care and prudence because land sliding is a result of complex geo-environmental spatial factors. Mandakini valley is highly ruggedized terrain with intensive rains during monsoon season. As a result, Landslides are very common in the Mandakini River valley and its catchment area. These landslides cause severe damage to human settlements and infrastructure present in this area. In this study, we have used certainty factor method in order to generate landslide susceptibility map for the catchment area of Mandakini river. Certainty factor approach is a bi-variate probabilistic method which uses Geo-environmental parameters like elevation, slope, aspect, rainfall distance away from river, soil characteristics etc. to generate landslide susceptibility map. A Script was developed in ArcPy - a python package to design tools for generating susceptibility map. These tools can run both at desktop level and at server level and generate results in an integrated way. Esri ArcMap 10.7 is used in order to generate required data layers and thematic maps. Overall, this paper leverages GIS technology and its tools to performs Landslide Susceptibility Mapping using Probabilistic Certainty Factor and generate Hazard Zonation of Mandakini Valley using an automated script for generating Landslide Susceptibility Mapping and Hazard Risk Zonation. It was found that out of 696, total 136 villages are under high risk of landsides, total 329 villages are under moderate risks and around 231 villages are under low risk zonation impacting lives of approx. 216166 people. Also, it is worth mentioning that a GIS based script was developed to automate generation of Landslide Susceptibility Maps which can be used where the same geological and topographical feature prevails. 03 30 2020 398 404 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7288.038620 https://www.ijrte.org/portfolio-item/F7288038620/ Principal, Elitte College of Engineering, Kolkata, India. Sudip Basack* Upasana Kashyap Assistant Professor, Civil Engineering Department, Kaziranga University, Jorhat, India Sanjay Bhuyan Former Post-Graduate Students, Civil Engineering Department, Kaziranga University, Jorhat, India. Khairuz Zaman Former Post-Graduate Students, Civil Engineering Department, Kaziranga University, Jorhat, India. Land use change initiates significant impact on the stormwater characteristics including hydrograph, infiltration, discharges of the catchment, etc. An extensive literature review suggests that rapid urbanization is the root cause for such alteration in stormwater features. This paper presents a field-based study to investigate the influence of land use change on the hydrological characteristics in a region situated in northeastern part of India, namely, Kakodonga Watershed, Jorhat, Assam. The hydrogeological and stormwater characteristics of the region are ascertained by means of field and laboratory tests and the data collected are rigorously analyzed to carry out the study. The evapotranspiration demand has also been investigated by incorporating various analytical models. The important and relevant conclusions are drawn from the entire work. 03 30 2020 1549 1555 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7293.038620 https://www.ijrte.org/portfolio-item/F7293038620/ PhD Scholar, EC Department, RKDF IST, SRK University Bhopal, India Neetesh Raghuwanshi* Dr Bharti Chourasia Associate EC Department, RKDF IST, SRK University Bhopal, India Digital Image processing is basically a computer-algorithm which is used to enhance the quality of image to understand the feature of image and exact the meaningful features information from image. Image processing has wider range of algorithms to be applied to the input image and can escape the difficulty as the signal distortion and add noise in input image at the time of processing of images. Noises affect the image visualization and degraded the image quality, sometimes chaotic variation in value of pixel intensity, lighting effect or because of poor contrast, image can’t be used directly because many time interest feature information not received as output that’s one reason image processing is significant for removal of noise from images, so noise removal is becomes trending field in image processing. Median filter method is one of most popular method to eradicate the effect of noise from image and it enhances the image quality to take meaningful feature easily from image. In this paper removing of noise using median filter to enhance the image quality is discussed, also the importance and applications of enhancement technique are covered. Parameter PSNR and MSE is also used to analysis the image quality along with the visualization of image. Simulation results show that Median filter gives good outcome for salt & pepper noise as compare to other filtering method. MATLAB software is used as simulation tool. 03 30 2020 538 543 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7294.038620 https://www.ijrte.org/portfolio-item/F7294038620/ Research Scholar, Dept. of Computer Science & Engineering, Sri SatyaSai University of Technology & Medical Sciences, Sehore, Bhopal-Indore Road, Madhya Pradesh, India K. Uma Maheswari Jeevaa Katiravan Research Guide, Dept. of Computer Science & Engineering, Sri Satya Sai University of Technology & Medical Sciences, Sehore, Bhopal Indore Road, Madhya Pradesh, India Microarray innovation as of late has significant effects in numerous fields, for example, medical fields, bio-drug, describing different gene capacities, understanding diverse atomic bio-legitimate procedures, gene expression profiling and so on. In any case, microarray chips comprise of expression levels of an immense number of genes, thus produce huge measures of data to deal with. Because of its huge volume, the computational examination is basic for extricating information from microarray gene expression data. Clustering is one of the essential ways to deal with break down such a huge measure of data to find the gatherings of co-communicated genes. The issues tended to in hard clustering could be fathomed in a fuzzy clustering strategy. Among fuzzy based clustering, fuzzy c-means (FCM) is the most reasonable for microarray gene expression data. The issue related to fuzzy c-means is the number of clusters to be generated for the given dataset should be determined in earlier. The fundamental goal of this proposed Novel fuzzy c-means (NFCM) strategy is to decide the exact number of clusters and decipher the equivalent effect. 03 30 2020 5765 5767 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7299.038620 https://www.ijrte.org/portfolio-item/F7299038620/ Computer Science and Applications, Chaudhary Devi Lal University, Sirsa (HR), India. Dr. Dilbag Singh Dupinder Kaur* Computer Science and Applications, Chaudhary Devi Lal University, Sirsa (HR), India. Enterprise Resource Planning (ERP) and Business Intelligence (BI) system demand progressive rules for maintaining the valuable information about customers, products, suppliers and vendors as data captured through different sources may not be of high quality due to human errors, in many cases. The problem encounters when this information is accessible across multiple systems, within same organization. Providing adequacy to this scattered data is a top agenda for any organization as maintaining the data is complicated, as having high quality data. Master Data Management (MDM) provides a solution to these problems by maintaining “a single reference of truth” with authoritative source of master data (Customer, products, employees etc). Master Data Management (MDM) is a highlighted concern now a day as valid data is the demand for strategic, tactical and operational steering of every organization. The lane to MDM initiates with the quality of data which demands for discovery of master data, profiling and analysis. As inadequacy of data may leads to adverse effects such as wrong decision, loss of time, bad results and unnecessary risk. Thus there is a need to deal with master data and quality of this specific data in a successful and efficient manner. For ensuring this purpose, an approach is proposed in this paper. The research focuses on development of a Model for Data Profiling to assess the level of Quality Traits for Master Data Management. Results are shown by executing the defined steps on TALEND tool over collected dataset. Thus, level of quality traits processes directly correlates with an organization’s ability to make the proper decisions and better outcomes. 03 30 2020 446 450 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7307.038620 https://www.ijrte.org/portfolio-item/F7307038620/ Master Of Technology, Department of Internet of Things, SRM Institute of Science and Technology, KTR Campus, Chennai, Tamilnadu, India. Arunpradeep. N Dr. G. Niranjana Associate Professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology, KTR Campus, Chennai, Tamilnadu, India Heart related disease is one of the crucial reasons for high amount of people’s death in the whole countries and it’s considered as life forbidding disorder, in addition to that this effect takes place in whole earth. Heart disease will affect the early stage of age peoples also. Thus, heart related disease creates the more challenges to people living and identify the causes and detection step is more important in nowadays. So, we need to develop of automatic system with more accurate and reliable for early detection of heart disease. For this reason, various machine learning models are developed to predict heart related disease; different medical data package is processed to automatic analysis with get more accuracy. In this paper, we discuss the available machine learning models such as KNN, SVM, DT and RF algorithms for prognosis of heart disease with high certitude, precision and recall. 03 30 2020 544 548 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7310.038620 https://www.ijrte.org/portfolio-item/F7310038620/ Research Scholar, Department Of Hospitality Management Graphic Era Deemed to be University, Dehradun,India Mr. Ravish Kukreti Dr. Rakesh Dani Assistant Professor, Department Of Hospitality Management Graphic Era Deemed to be University, Dehradun,India Internship in area of hospitality are integral part of curriculum for any hospitality undergraduate course as it provides students with the platform where they can actually implement their theoretical knowledge into the practical aspect .Internship tenure focuses on supervised practical training of hospitality undergraduates in particular time frame .Internship tenure provides very essential platform to implement their skills in professional hotel environment. In spite of its relevance and importance of internship very little amount of research has been done for analysing the internship satisfaction of hospitality undergraduates .The focus of the research was to analyse the role of University/Institute support and organizational environment for internship satisfaction In order to analyse the role of these factors 18 structured question were asked to the 106 respondent from major hospitality institute of Uttarakhand, the result obtained was analysed using likert 5 point scale. The findings of the study will be relevant and useful for students of hospitality management, Universities /Institute offering courses in the field of Hospitality management and the employer offering jobs to the students of hospitality management 03 30 2020 549 554 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7313.038620 https://www.ijrte.org/portfolio-item/F7313038620/ Shri Ramdeobaba College of Engineering and Management, Nagpur Dr. Abhijeet Agashe* Dr. Gayathri Band* Shri Ramdeobaba College of Engineering and Management, Nagpur Dr. Rupesh Pais Shri Ramdeobaba College of Engineering and Management, Nagpur This study attempts to measure productivity change of Airlines companies in private and public sector in India for a period of four years (2011-2016). In this study the nature and productivity change is probed using the Malmquist Productivity Index. This index has the constituents which are used to measure the performance in terms of change in Scale Efficiency, change in Technical Efficiency, change in Technological Change and Total Factor Productivity. The paper compares efficiencies for the companies in public and private commercial airlines sector in India. Five Airlines companies are included in the study. The research includes Total Annual Income as an output variable and Total Expenditure, Employee Compensation, Sales & Distribution Expenditure and Marketing expenses as Input variables. A panel data with 30 observations has been used for analysis. The panel data is used to arrive to MPI estimates, with a total of five commercial airlines companies in India. The Total Factor Productivity change in the airlines sector depends upon the change in the efficiency and productivity of the companies. From the study it is evident that the Total Factor Productivity change has not changed significantly over the last six years for all the companies under study. The Technical Efficiency was the highest in the year 2013-14 which then dropped in the subsequent year. The Total Factor Productivity change is mainly due to change in scale efficiency of the companies since the pure efficiency has shown no significant change during the period under study. The Total Factor Efficiency dropped by almost 50% in the case of Air India in the year 2015-16. This drop is attributed to the deterioration in the technical efficiency of the company. The overall Total Factor Productivity of Air India is the highest. This can be attributed to positive change in the company’s Technical Efficiency especially in the year 2013-14. It is evident that all the airlines companies under study have not emphasized on improving scale efficiency as well as pure efficiency. These companies can improve their overall productivity by bringing in efficiency in the scale of operations as well as focus on improving efficiency on factors other than scale of operations. The commercial airlines companies in India need to improve their scale efficiency and pure efficiency to improve their total factor productivity. 03 30 2020 2168 2173 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7320.038620 https://www.ijrte.org/portfolio-item/F7320038620/ Ph.D., Computer Science and Engineering, Shri Venkateshwara University. Mansoor Farooq Edge detection is the name for a set of mathematical methods which target at classifying points in an image at which the image intensity varies sharply or, has discontinuities. The paper tries to find the solution for detecting color edges based on color and intensity information of two new images H-image and T-image crafted on color space transformation, that will produce two-resulted edges derivates of H-image and T-image and are at last coalesced to obtain final edge. 03 30 2020 1038 1041 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7321.038620 https://www.ijrte.org/portfolio-item/F7321038620/ Dr.N.G.P. Institute of Technology, Coimbatore, Tamil Nadu, India. K Muthulakakshmi Ms S.Nithya Devi Dr.N.G.P. Institute of Technology, Coimbatore, Tamil Nadu, India. Ms N. Archana Dr.N.G.P. Institute of Technology, Coimbatore, Tamil Nadu, India. Automatic Recognition System (AIS) plays an important role in tracking maritime vessels and ships. AIS is an inexpensive low power wireless sensor solution that used to clear up the complications of diagnose ships by maintain locations, course, speed and more pivotal ship datas with all other aquatic ships/vessels and vessel traffic assistance stations. The receiver architecture for Satellite based AIS (Automatic Recognition System) is described in this report. The receiver performance are substantiate in the existence of the classic satellite medium aspects. The proposed system is hence proven to provide accomplished performance to the noise, also delay spread, Doppler shift, and flexibility to avoid collisions of messages. 03 30 2020 2233 2236 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7324.038620 https://www.ijrte.org/portfolio-item/F7324038620/ Department Of Computer Science & Engineering, BBD University, Lucknow, India. Mohd. Saif Wajid* Gaurav Kumar Srivastava Department Of Computer Science & Engineering, BBD University, Lucknow, India. Neeraj Baiswar Department Of Computer Science & Engineering, BBD University, Lucknow, India Akanksha Singh Department Of Computer Science & Engineering, BBD University, Lucknow, India. Pooja Verma Department Of Computer Science & Engineering, BBD University, Lucknow, India. The biometric based personal authentication method is a technique used for computing and analyzing the physical and/or behavioral characteristics of the person. The in future the biometric system may provide an alternative of digital solution to the ID cards, passwords, driving licenses, passports, etc. Nowadays the researcher and scientist are given interest on multimodal biometric because multimodal biometric gives more security and reliability over the single biometric technique. In this paper, we proposed a multimodal biometric technique based one palm and fingerprint. The IITD palmprint and UPEK fingerprint database used for the experimental evolution. 03 30 2020 789 792 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7328.038620 https://www.ijrte.org/portfolio-item/F7328038620/ department, Amity University, Gurgaon, India. Abhishek Jain* Vishal Jain department, BVICAM, New Delhi, India. Khushboo Tripathi department, Amity University, Gurgaon, India. Today there are extraordinary attacks on all kind of networks. Security for Payload is considered one of the biggest agenda for all kind of organizations. To deal with new species if attacks like threat, which are blended in nature, no security platform can take guarantee for their intrusion protection. Among all security platforms, intrusion detection system (IDS) are being used to do the inspection of all the packets or data being transferred between two nodes, A software application , that is responsible doing the monitoring of any kind of unwanted or to monitor the activity which is malicious in nature. This research acquaints about handling unknown attacks through Intrusion Detection System. For improving security in wireless communication, Intrusion Detection System (IDS) plays significant role, which includes information about network and security scheme. Hence, this research paper focused on development of appropriate system architecture for IDS system 03 30 2020 700 703 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7329.038620 https://www.ijrte.org/portfolio-item/F7329038620/ Petroleum Engineering Department, Faculty of Petroleum and Mining Engineering, Suez University, Suez, Egypt. Ahmed A. Elgibaly* Mahmoud Tantawy Petroleum Engineering Department, Faculty of Petroleum and Mining Engineering, Suez University, Suez, Egypt. Abdelrahman Atef* Petroleum Engineering Department, Faculty of Petroleum and Mining Engineering, Suez University, Suez, Egypt. Having an increase in the discovery of gas reservoirs all over the world, the most common problem related to gas condensate wells while producing below dew point condition is condensate banking. As the bottom hole pressure drops below the dew point, the liquid starts to exist and condensate begins to accumulate. Relative permeability of gas will be reduced as well as the well productivity will start to decline. The effect of applying a hydraulic fracture to gas condensate wells is the main objective of this paper. A compositional simulator is utilized to investigate the physical modifications that could happen to gas and condensate during the production life of an arbitrary well. Performing a good designed hydraulic fracture to a gas condensate well typically enhances the production of such well. This increase depends basically on certain factors such as non-Darcy flow, capillary number and capillary pressure. Non-Darcy flow has a dominant impact on gas and condensate productivity index after performing a hydraulic fracture as the simulator indicates. The enhancement of gas and condensate production can be obtained for gas condensate reservoirs in which the reservoir pressure is above or around the dew point pressure to have a margin for the pressure to decline with time and also eliminate the probability of forming condensate in the reservoir. On the other hand if the reservoir pressure is below the dew point pressure, there will be definitely a condensate in the reservoir and a specific design for the hydraulic fracture is a must to get the required enhancement in the production. 03 30 2020 1202 1208 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7331.038620 https://www.ijrte.org/portfolio-item/F7331038620/ Petroleum engineering department, General Petroleum Company, Cairo, Egypt. Mohamed Ameen* Mahmoud Tantawy Faculty of Petroleum and Mining Engineering, Suez University, Suez, Egypt Ahmed Gawish Faculty of Petroleum and Mining Engineering, Suez University, Suez, Egypt Evaluating the relative permeability data is very essential as all the reservoirs contain multiple fluid phases. In absence of lab measured data, many correlations were developed to capture an accurate formula for relative permeability data prediction. The objective of this work focuses on how to calculate the value of exponents incorporated into generalized Corey’s correlation instead of using pre-assumed fixed values and use the estimated values of exponents to predict relative permeability data. A giant database of experimental results for 750 plugs, covering different types of reservoir rocks and fluid systems, was involved in the methodology development to test its validity and reliability. Relative permeability data prediction was performed for 750 plugs using the generalized Corey’s correlation and the proposed methodology to estimate exponents. Predicted relative permeability data were compared to the collected actual experimental results and the prediction results of other common published correlations through extensive statistical analysis. Statistical analysis showed that the proposed methodology has significant reliability to predict relative permeability data. 03 30 2020 704 710 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7333.038620 https://www.ijrte.org/portfolio-item/F7333038620/ Aerospace Engineer, Hindustan Institute of Technology & Science. *Rishab Kumar Agrawal Sivaram Munagala Aeronautical Engineer Hindustan Institute of Technology & Science. A Contour shaped rocket nozzle, commonly known as Bell nozzle, is a more efficient form of a De-Laval nozzle useful for operation at different altitudes resulting in variable pressure ratio across the nozzle. Here the penetration length during the flow is calculated in a De-Laval nozzle using Computational fluid dynamics (CFD). The TOP nozzle] by G.V.R. Rao is modeled and simulated using CFD analysis by varying the divergent half angle of the bell nozzle. The geometry of different divergent angle of the bell nozzle is modeled using MATLAB code. The modeled geometry and mesh of the nozzle is simulated in ANSYS-FLUENT software. The simulation shows the variation in different flow parameter at different divergent half angles. The analysis so far for the same is done in a conical shaped rocket nozzle at the cost of varying the divergent length for changing the divergent half angle of the nozzle. This project simulates bell nozzle with constant divergent length. The simulation model is verified and validated using experimental and computational data at an NPR (Nozzle pressure ratio) of 1000. As the Rao Nozzle is used currently in rocket, missile, and satellite control systems worldwide. This research work to show how the penetration length effect the Mass-Weighted average Mach number in a particular designed bell nozzle with different divergent half angle. Based on the results obtained, the discussion is done about the parameters and the conclusion is given. 03 30 2020 585 592 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7334.038620 https://www.ijrte.org/portfolio-item/F7334038620/ Assistant Professor, Electronics and Communication Engineering, Babaria Institute of Technology, Varnama, Gujarat, India. S.Suganthi Amudhan* Dr. Dwivedi Vedvyas J Pro Vice Chancellor, C U Shah University, Wadhwan City.Surendranagar Gujarat, India. Dr.Bhavin Sedani Professor, Electronics and Communication Engineering, L.D.College of Engineering, Ahmedabad, Gujarat, India. A novel optimization algorithm of fuzzy logic controller (FLC) using genetic algorithms is used to characterize the major design parameters of an FLC known as characteristic parameters. The characteristic parameters simplify the design of FLC which are encoded into a chromosome as an integer string. These are optimized by maximizing the evaluated fitness through genetic operations to achieve the optimized FLC .An effective Genetic Algorithm (GA) is proposed using linkage learning, or building block identification. The genes arranged to have a fitness enhancement is the essence of linkage learning. A perfect and faster extended GA is suggested using an effective method to learn distributions and then by linking them. Stabilization of Inverted pendulum pole angle is taken as test bench. 03 30 2020 1447 1453 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7336.038620 https://www.ijrte.org/portfolio-item/F7336038620/ Research Scholar, Dept. of Computer Science Engineering, JJT University, Rajasthan India. K. Ruben Raju Dr. Yogesh Kumar Sharma Head & Associate Professor, Dept. of Computer Science Engineering, JJT University, Rajasthan India.. Dr. Birru Devender Associate Professor, Dept. of Computer Science Engineering, Holy Mary Institute of Technology & Science, Hyderabad, India. Human Action Recognition is a key research direction and also a trending topic in several fields like machine learning, computer vision and other fields. The main objective of this research is to recognize the human action in image of video. However, the existing approaches have many limitations like low recognition accuracy and non-robustness. Hence, this paper focused to develop a novel and robust Human Action Recognition framework. In this framework, we proposed a new feature extraction technique based on the Gabor Transform and Dual Tree Complex Wavelet Transform. These two feature extraction techniques helps in the extraction of perfect discriminative features by which the actions present in the image or video are correctly recognized. Later, the proposed framework accomplished the Support Vector Machine algorithm as a classifier. Simulation experiments are conducted over two standard datasets such as KTH and Weizmann. Experimental results reveal that the proposed framework achieves better performance compared to state-of-art recognition methods. 03 30 2020 1556 1566 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7337.038620 https://www.ijrte.org/portfolio-item/F7337038620/ Research Scholar, Jawaharlal Nehru Technological University Anantapur, Ananthapuramu, Andhra Pradesh-515002, India E. Dhananjaya R. Bhuvana Vijaya Professor and Head, Department of Mathematics, Jawaharlal Nehru Technological University Anantapur, Ananthapuramu, Andhra Pradesh-515002, India. A system of compact schemes used, to approximate the partial derivative of Linear Parabolic Partial Differential Equations (LPPDE), on the non-boundary nodes. Euler time integration for the temporal derivative, the Crank-Nicholson (CN)scheme for the spatial derivatives and the source term are used. The higher order spatial accuracy of the developed, central difference based compact schemes for the one and two-dimensional diffusion equations are validated, by solving numerically two test problems. The compact scheme based calculations involve a tridiagonal matrix vector multiplication and a vector vector subtraction. The interest is to demonstrate the higher order spatial accuracy and the better rate of convergence of the solution produced using the developed compact 4th order scheme, when compared with the same produced, using the conventional 2nd order scheme. The assessment is made, in terms of the discrete or norm of the true error of the converged numerical solution. 03 30 2020 818 828 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7338.038620 https://www.ijrte.org/portfolio-item/F7338038620/