-22b9b34417bc6092a74127b 20220107064549319 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Engineering and Advanced Technology IJEAT 22498958 10.35940/ijeat.2249-8958 https://www.ijeat.org/ 10 30 2019 9 1 10.35940/ijeat.9.1 https://www.ijeat.org/download/volume-9-issue-1/ Chemical Engineering and Petroleum Refining department, Suez University, Suez, Egypt. Rabab Motasiem* Said Ali Chemical Engineering and Petroleum Refining department, Suez University, Suez, Egypt. Mustafa Awad Chemical Engineering and Petroleum Refining department, Suez University, Suez, Egypt. A systematic procedure is developed to design and evaluate water by using networks with multiple contaminants. The proposed algorithm contain two sequential steps, in the first step the total, the total possibilities of matching source flows to demand flows were evaluated and a heuristic design technique is proposed based on the results. In the second step, three strategies are suggested to reach high level of operability, two source shift, path relaxation and loop breakage are applied in order to improve the network and minimize interconnections. The proposed approach was evaluated and assessed through a case study. The results are in match with the available data in the literature. In the meantime the computational time to reach confluence was significantly reduced. 10 30 2019 1499 1505 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1277.109119 https://www.ijeat.org/portfolio-item/a1277109119/ Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India. Akshat Dhiman Kanyush Mohapatra Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India. Panchal Raj Jagdishkumar Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India. Many deep learning neural network-based models had been proposed for the prediction of heart diseases but there is no model accessing all 13 features directly from the dataset & feeding them to the ‘Perceptron’. The model starts with certain weights and biases to train itself with the given dataset. The error is calculated in each epoch using the popular ‘gradient descent’ algorithm. Improper arrangement of neurons in a neural network can lead to overfitting or underfitting of the model which will gradually decrease the accuracy. But the perceptron model has only a single neuron performing all the classification and arrangement of data. The weights and biases in the model are updated to fit the model properly in a way that the equation can classify maximum number of data points. The learning algorithm of Perceptron model which calculates the result and performs binary classification is Σ_(i=0)^n wixi >= b. The weights and biases in the equation are changed repeatedly over epochs to decrease the error and fit the dataset with most efficient predicted output. Compared to the old MP Neuron model, the model is more effective with an accuracy of 98.349%. 10 30 2019 1506 1509 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1278.109119 https://www.ijeat.org/portfolio-item/a1278109119/ Department of Textile Engineering, Jashore University of Science and Technology, Jashore-7408, Bangladesh Tarikul Islam* Md. Rezaul Karim Port City International University, Chittagong-4225, Bangladesh Mowshumi Roy Department of Textile Engineering, National Institute of Textile Engineering and Research, Savar, Dhaka-1350, Bangladesh. Md. Safiqul Islam Department of Textile Engineering, Port City International University, Chittagong, Bangladesh. Habibullah Mohammad Jayed Department of Textile Engineering, Port City International University, Chittagong-4225, Bangladesh. Pallab Barua Department of Textile Engineering, Port City International University, Chittagong-4225, Bangladesh. The popularity of Sustainable clothing is increasing day by day. Consumers are more interested to consider sustainable clothing design on their daily basis fashion but it is expensive to produce sustainable clothing, as there are less availability of natural fiber. Banana fiber is highly available and it can be a great source of sustainable clothing to meet the consumer demand and banana fiber can be a replacement of cotton fibre. The aim of this project work is to observe the dye ability of banana fiber with synthetic dyes such as vat, acid, basic and reactive dyes were studied. Before dyeing, scouring and bleaching of banana fiber was done and whiteness index was measured. Finally after dyeing, color fastness to wash, color fastness to rubbing was examined. 10 30 2019 1510 1514 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1285.109119 https://www.ijeat.org/portfolio-item/a1285109119/ Assistant Professor, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai. K. Vinoth Dr. M. Ramesh Babu Assistant Professor, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai. A novel topology of a hybrid grid connected topology based on photo voltaic system and permanent magnet synchronous generator is proposed in this paper. In this grid connected inverter topology the source are connected to the grid with the help of multi input modified LUO converter followed by a single phase three level inverter. Thus compared to the conventional schemes the proposed topology is modeled with the help of reference frames includes direct axis and quadrature axis elements. The modified LUO converter inherits the advantages compared to other DC-DC to converter topologies. The fuzzy logic based MPPT algorithm shows excellent performance under various testing conditions. The PWM generators are used to trigger the inverter and LUO converter. Steady state and transient response of the controllers are discussed and implement the excellent operation of the hybrid energy system. The grid current synchronization is achieved by using PI controller also it will reduce the THD and satisfies the IEEE harmonics standard. 10 30 2019 1515 1521 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1288.109119 https://www.ijeat.org/portfolio-item/a1288109119/ Department of Marine Geology, Mangalore University, Mangalagangothri, Mangalore, India Santosh C* Krishnaiah C Department of Marine Geology, Mangalore University, Mangalagangothri, Mangalore, India Praveen G. Deshbhandari Department of Applied Geology, Kuvempu University, Jnanasahydri, Shivamogga, India The study examines land use land cover and change detection in Chikodi taluk, Belagavi district, Karnataka. Land use land cover plays an important role in the study of global change. Due to fast urbanization there is variation in natural resources such as water body, agriculture, wasteland land etc. These environment problems are related to land use land cover changes. And for the sustainable development it is mandatory to know the interaction of human activities with the environment and to monitor the change detection. In present study for image classification Object Based Image Analysis (OBIA) method was adapted using multi-resolution segmentation for the year 1992, 1999 and 2019 imagery and classified into four different classes such as agriculture, built-up, wasteland and water-body. Random points (200) were generated in ArcGIS environment and converted points into KML layer in order to open in Google Earth. For the accuracy assessment confusion matrix was generated and result shows that overall accuracy of land use land cover for 2019 is 83% and Kappa coefficient is 0.74 which is acceptable. These outcomes of the result can provide critical input to decision making environmental management and planning the future. 10 30 2019 1522 1527 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1290.109119 https://www.ijeat.org/portfolio-item/a1290109119/ Research Scholar Dept of ECE , Andhra University College of Engineering (A), Visakhapatnam, Andhra Pradesh.. Santosh Pavada Pavada Mallikarjuna Rao Prudhivi Professor, Dept of ECE, Andhra University College of Engineering (A), Andhra University, Visakhapatnam D. Prabhakar Associate Professor, Dept of ECE, Gudlavalleru engineering college (A), Gudlavalleru. Today in communication field, many antennas have been evolved for various applications. The most popularly used antennas are micro-strip antennas. These antennas can be easily fabricated at reasonably low cost. Hence, these antennas are gaining lot of importance in recent times. Many techniques have been in use for micro strip antennas to improve the performance of the antenna parameters. The design of these antennas is slowly moving towards high frequencies, where there is lot of advantage with bandwidth. In this paper a normal and E shaped inset micro-strip antenna in Ku-Band is simulated and the results are presented. It is noted that CST-MS 2015 tool has been used to get the simulation results. 10 30 2019 1528 1531 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1297.109119 https://www.ijeat.org/portfolio-item/a1297109119/ Department of English, Faculty of Languages and Literature, Shaheed Professor Rabbani Education University, Kabul, Afghanistan. Tawos Mohammadi Mohammad Yaqoob Seraj Department of English, Faculty of Languages and Literature, Kunduz University, Kunduz, Afghanistan. Hairunnisa Ibrahim English lecturer, University Tun Hussein Onn, Malaysia. Nurul Farhanah Abdul Hadi Master’s student, TEFL, Universiti Teknologi, Malaysia. This particular study is conducted to find out the purposes of teachers' codeswitching in the primary schools, the perceptions of teachers toward using students’ first language in the classrooms, and the amount of the usage of codeswitching in primary schools. A total number of 82 primary school English language teachers from the Johor Bahru state of Malaysia took part in this study. In order to collect comprehensive data from the participants, the researcher applied a mixed-method design. Quantitative data was collected through the Google Form questionnaire, which was sent to the teachers via WhatsApp, and Qualitative data was collected through interviews with five English language teachers of primary schools. The analysis of both types of data showed that the teachers use students’ L1 for three purposes, pedagogical, administrative, and interactional, but mainly students’ L1 was utilized as a pedagogical tool to facilitate language learning and as an administrative strategy to create a less threatening and learner-friendly environment. The results of the study also indicated that the majority of the teachers in the primary schools of Johor switch to students’ L1 to accommodate low proficiency learners and explain difficult concepts such as grammar and vocabulary to the learners. Eighty percent of the participant agreed to minimize the use of L1 in second language learning classrooms. 10 30 2019 1532 1536 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1303.109119 https://www.ijeat.org/portfolio-item/a1303109119/ ECE Dept. KLEF, Vaddeswaram, Guntur District, Andhra Pradesh, India. Mahesh Mudavath K. Hari Kishore Professor, ECE Dept. KLEF, Guntur District, Andhra Pradesh, India. Sanjay Madupu Asst, Professor, Vaagdevi Engineering College. Bollikunta, Warangal (T.S), India. Prashanth Chittireddy Asst, Professor, Vaagdevi Engineering College. Bollikunta, Warangal (T.S), India. Srinivas Bhukya Asst. Prof. Sri Indu College of Engg. & Tech. Ibrahimpatnam, Ranga Reddy This article presents the Low Noise Amplifier (LNA) design of CMOS Inductorless with noise cancellation (NC) technique for portable wireless receivers. An Inductorless CMOS LNA for multi-standard wireless applications with less-area, single-chip is presented. This NC technique is used to cancel out the noise involvement in LNAs at the output of matching device. The proposed Inductorless CMOS LNA designed in a CMOS 45nm GPDK technology process. The simulated results within the frequency range of 1.04GHz-1.8GHz are considered here. The maximum gain has achieved 20dB @ 1.04GHz, 23dB @ 1.8GHz and a low NF of 1.2dB @ 1.04GHz, 0.6dB @ 1.8GHz. The input and output reflection coefficients are obtained as less than -10dB it is desirable value to fit in this LNA. 10 30 2019 1537 1542 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1305.109119 https://www.ijeat.org/portfolio-item/a1305109119/ Mechanical Engineering Department, Institute of Technology, Nirma University, Ahmedabad, India and Mechanical Engineering Department,, LDRP-ITR, Gandhinagar, India Jigar Suthar Dr. Kaushik Patel* Mechanical Engineering Department, Institute of Technology, Nirma University, Ahmedabad, India. Since last two decades, technology has changed rapidly in each industry from consumer goods to aerospace. To quench the thrust of technology advancement of industries, the research community has to develop the novel materials. As a part of the ongoing process of material development and machinability study, present work was carried out to find out the effect of various cutting parameters on surface roughness and machining time of aluminium Hybrid Metal Matrix Composites (AHMMCs). In this study, pure aluminium was used as a matrix material while; B4C, Mg, Ti and Graphite were used as reinforcement. It was observed that 2202 RPM spindle speed, 0.18 mm/rev feed rate and 1.1 mm depth of cut are the optimum turning parameters with PCD insert. While machining of same composites using carbide insert, optimum spindle speed, feed rate and depth of cut are 2091 RPM, 0.19 mm/rev and 1.1 mm respectively. Moreover, PCD insert provides better surface finish compared to carbide coated insert for same cutting conditions. Moreover, the effect of reinforcement particles presence on the surface finish was also investigated and it was concluded that reinforcement presence reduces the surface roughness considerably. Particularly presence of Mg and graphite reduces surface finish significantly. 10 30 2019 1543 1550 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1336.109119 https://www.ijeat.org/portfolio-item/a1336109119/ Faculty of Art and Design, Institut Seni Indonesia (ISI) Surakarta, Indonesia. S H Heriwati* B H Prilosadoso Faculty of Art and Design, Institut Seni Indonesia (ISI) Surakarta, Indonesia. B Pujiono Faculty of Art and Performing, Institut Seni Indonesia (ISI) Surakarta, Indonesia. Suwondo Faculty of Art and Performing, Institut Seni Indonesia (ISI) Surakarta, Indonesia A N Panindias Faculty of Art and Design, Institut Seni Indonesia (ISI) Surakarta, Indonesia. The creation of this art is an effort to preserve traditional arts, especially wayang kulit (shadow puppets) and as a medium for character education for the younger generation as a solution to the phenomenon of increasingly intense globalization in the present, wherein the increasingly fragile condition of the nation's morality with the increasingly hedonism and individualistic culture of life in the younger generation in Surakarta. This art creation research method is descriptive qualitative located in the Surakarta and surrounding areas, data sources include the puppet show itself, literature, and competent informants and related art creation. Stages of analysis from various sources resulting from information from both the literature review and interviews were conducted using an interactive model, where each component of the analysis included the stages of data collection, data reduction, presentation and conclusion drawing. Next is the process of designing puppet show art with a collaboration of 3Dimensi animation through several stages, namely: Envisioning Phase, Planning Phase, Developing Phase, Stabilizing Phase, and Deploying Phase. Stages of wayang kulit story selection are adjusted to the segmentation of the younger generation of viewers and the current state of society in the community, the drafting of customized shadow puppet performances and collaborations with 3Dimensional Animation technology, and the selection and design of prototypes of wayang kulit figures as intermediary characters. puppet animation 3D dimensions. 10 30 2019 1551 1555 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1341.109119 https://www.ijeat.org/portfolio-item/a1341109119/ Dept. of Computer Science & Engg, Vemana Institute of Technology, Bengaluru, India. Mamatha C R M. Ramakrishna Dept. of Computer Science & Engg, Vemana Institute of Technology, Bengaluru, India. A Mobile Ad-hoc Network (MANET) is a wireless network created without any static infrastructure and works in a decentralized fashion. The nodes are independent and communicated with each other by self-organizing among those nodes to provide the global network functionality. It draws more attention in recent years because of enormous applications and its cost-effective implementation. The communication among these nodes entirely depends on the routing path and battery power. Many researches have concentrated only on finding the shortest path and throughput in this area. The energy-efficient routing has a lot of scope and important factor to be considered for routing in MANET’s. In this article, the current energy-efficient routing protocols will be extensively reviewed and results tabulated. Finally, the paper proposes open areas in which the performance of the network may be improved by considering energy-efficient networks, achieving stability in the network and finding better routes. 10 30 2019 1556 1561 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1349.109119 https://www.ijeat.org/portfolio-item/a1349109119/ Management Department, National University " Zaporizhzhya Polytechnic" , Zaporozhye, Ukraine Petro Gudz Viacheslav Ivanchenkov Department of Accounting and Audit, Odessa National Academy of Food Technologies, Odessa, Ukraine Yaroslav Oliinyk Department of Economic and Social Geography, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine Georgii Korepanov Department of Management and Administration, Educational and Research Institute “Karazin Business School”, V. N. Karazin Kharkiv National University, Kharkov, Ukraine Iryna Shkurupska Marketing Department, Odessa National Economic University, Odessa, Ukraine Angela Boyko Department of Philosophy and Political Sciences, Cherkasy State Technological University, Cherkasy, Ukraine The article discusses the theoretical issues of the application of innovative social technologies in the general mechanism of managing the region as a separate territorial unit. The mechanisms of using social technologies to achieve a managerial effect are considered, and critical tools for making a given social result are identified. From the point of view of the methodology, a comprehensive algorithm for the application of social technologies in the general strategy for managing the region is proposed. A sequence of stages of social interaction is presented, during which the management strategy is implemented and forms social reality. Social technologies are considered from the position of a key tool of the management system, and also the effects exerted on all spheres of society are examined. The relationship between the effectiveness of applying social technology and the effectiveness of the resulting vector of managerial impact, between conditional social costs and potential incomes, is separately highlighted. 10 30 2019 1562 1567 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1352.109119 https://www.ijeat.org/portfolio-item/a1352109119/ Department of Economic Analysis, Kuban State Agrarian University named after I.T. Trubilina, Russia. Oksana Takhumova* Dmitry Ryakhovsky Crisis Management and Finance Department in Institute of Economics and Crisis Management, Tax advice Department of the Financial university under the Government of the Russian Federation, Russia. Tatyana Satsuk Head of the Department of Accounting and Audit, Emperor Alexander I St. Petersburg State Transport University, Russia. Rashid Kochkarov Department of Commodity Science and Technology of Public Catering of the Stavropol Institute of Cooperation (Affiliate) ANO VO Belgorod University of Cooperation, Economics and Law, Russia. Olga Mirgorodskaya Department of Economics and Management, Stavropol Institute of Cooperation (Affiliate) ANO VO Belgorod University of Cooperation, Economics and Law, Russia. In the implementation of production activities, the objective condition for the sustainable development of business entities is a comprehensive approach to the analysis of financial indicators of the organization. The problem of ensuring sustainable growth has been relevant for several decades and is the subject of close attention of Western and domestic scientists. The work clarifies the methodological tools relating to the assessment of competitive positions in the domestic market, provided that solvency is maintained. The essence of sustainable development at the macro and micro levels is revealed. The main focus is on the assessment of financial stability indicators as an information base for making effective management decisions. The paper discusses the theoretical foundations of the analysis of liquidity and solvency of companies. The types of the state of liquidity of the balance sheet of the company are clarified. The essence, as well as the relationship of solvency and liquidity, as one of the main areas of the financial condition of the organization is revealed. An algorithm for determining the potential solvency of an organization is presented; a mechanism for increasing the financial return on assets is considered. On the example of the organization of the building complex, the indicators of financial indicators were evaluated, critical values were determined for the studied indicators. A set of measures to improve financial performance is proposed. The presented material may be interesting for the development of public policy instruments for the implementation of the concept of sustainable development of the regional system. 10 30 2019 1568 1571 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1360.109119 https://www.ijeat.org/portfolio-item/a1360109119/ Research scholar, Department of Mathematics, Koneru Lakshmaiah Education Foundation,Vaddeswaram, AP, India B. Sailaja VBVN Prasad Professor, Department of Mathematics, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India Fuzzy sets are considered as a fine extension of classical sets (crisp) in which the elements possess diverse degrees of membership functions. Zadeh is the initiator of fuzzy sets that predominantly deal with imprecision and vagueness. In this paper, the Law of Excluded middle and the Law of Contradiction were discussed in an exemplary mode. In addition to that the definitions of fuzzy sets, crisp sets and the various operations on them were presented in a consecutive manner. 10 30 2019 1572 1574 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9538.109119 https://www.ijeat.org/portfolio-item/a9538109119/ Department, Methodist College of Engineering and Technology, Abids, Hyderabad, Telangana, India. K. N. KiranKumar* Dr. A. Rajasekhar Head Department, Methodist College of Engineering and Technology, Abids, Hyderabad, Telangana, India. Dr. P. Ravi chander Asst. Professor, Department, Methodist College of Engineering and Technology, Abids, Hyderabad, Telangana, India. Y Madhu Maheswara Reddy Asst. Professor, Department, Methodist College of Engineering and Technology, Abids, Hyderabad, Telangana, India. Vivekananda K Department, Methodist College of Engineering and Technology, Abids, Hyderabad, Telangana, India. Present day advancement in numerical solutions and advanced computational power has given a new dimension to the design and development of new products. Computer Aided Engineering (CAE) is widely used in the automotive community to reduce testing, prototype building, and design improvement in the design cycle. Design modifications were aimed to get controlled energy absorption, stable passenger compartment with aim of reduced intrusions and occupant safety.In the course of developing a passenger vehicle, automotive manufacturers must take into account numerous regulatory and corporate requirements. One of the most important such requirement is Frontal offset deformable barrier test. In this test condition, the vehicle traveling in the forward direction, impacts a deformable barrier that is offset to the driver’s side of the vehicle. The barrier face is perpendicular to the direction of travel and overlaps 40% of the front of the vehicle. The scope of this project is to evaluate the performance of a sedan passenger car and to further improve its crashworthiness during an offset frontal impact event. It is demonstrated that utilization of the complete passenger compartment stiffness, continuity in the load carrying members and extending these members until rear of the passenger compartment significantly reduces intrusions during offset frontal impact. 10 30 2019 1575 1582 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F8597.109119 https://www.ijeat.org/portfolio-item/f8597088619/ Deparment of Mathematics, Sathyabama Institute of Science and Technology, Chennai, India. M.S. Franklin Thamil Selvi A. Amutha Department of Mathematics, The American College, Madurai, India. Given simple graph 𝑮, a harmonious chromatic number 𝝌𝒉(𝑮) is the minimum number of colors used in a graph such that no two adjacent vertices receives the same color and each combination of color seems together on atmost one edge. In this article we have determined the harmonious chromatic number of barbell and central graph of barbell graph.Over all we have given an algorithm to calculate the harmonious chromatic number of Barbell graph by depicting a quadratic time. 10 30 2019 1583 1586 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2625.109119 https://www.ijeat.org/portfolio-item/a2625109119/ College of Graduate Studies, Universiti Tenaga Nasional Jalan Ikram-UNITEN, Kajang, Selangor Darul Ehsan, Malaysia Osama H. Al-Masri Sulfeeza Mohd Drus Department of Information Systems, Universiti Tenaga Nasional Jalan Ikram-UNITEN, Kajang, Selangor Darul Ehsan, Malaysia Ahmad Aabed Al-Hayy AlDalaien College of Graduate Studies, Universiti Tenaga Nasional Jalan Ikram-UNITEN, Kajang, Selangor Darul Ehsan, Malaysia This paper is to survey researchers’ efforts in response to the most number of criteria of lecturers’ performance into various domains, connecting the research insights from the literature into a consistent taxonomy, and figuring out the gaps on this vital research area. The fundamental search is relating to 1) personnel evalaution especially lecturer; 2) education-related; 3) criteria and applications (methods). Web of Science, ScienceDirect, and IEEE Xplore are reliable sources that can cover education and technical literature. The final number of studies is 78. Five articles are reviews to characterize the evaluation criteria for specific specializations. An another group (73/78) is research articles that include diverse evaluation criteria and domains. Most domains covered criteria, such as knowledge, skills, experience, and qualification. 10 30 2019 1587 1592 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2628.109119 https://www.ijeat.org/portfolio-item/a2628109119/ Department of Electrical Engineering, SOE, Cusat, Kerala, India. Deepa Sankar* C A Babu Department of Electrical Engineering, SOE, Cusat, Kerala, India. A novel Impedance source seven level Asymmetric Multilevel topology for PV system is presented here. It comprises of a Quasi Z source network and Asymmetric Multilevel Inverter (QZ-AMLI) to synthesize better quality output with low THD. Quasi Z Source Converter (QZSC) with large voltage gain provides a positive boost voltage to an asymmetric multilevel inverter. Asymmetric structure offers large output levels with a smaller number of switches and input sources. QZS network parameters provide a regulated DC supply to the Asymmetric Multilevel inverter (AMLI). DC input magnitude of the inverter is decided by an algorithm. Switching signals are applied in proper sequence to generate required magnitude at the AC output. Regulated DC output voltages of 16V and 32V are obtained at the output of QZSC1 and QZSC2. 7 level inverter output with a magnitude of 48V is obtained by simulation using Matlab /Simulink. The system ensures lower switching losses, reduced gate drive circuitry and improved harmonic profile. Reduced switch and filter requirements lessen the cost of the system. 10 30 2019 1593 1599 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F8693.109119 https://www.ijeat.org/portfolio-item/f8693088619/ Assistant Professor, Department., of ECE, Gayatri Vidya Parishad College of Engineering (A), Visakhapatnam, India. *Surya Prakasa Rao Reddi B Suribabu Naick Assistant Professor, Department., of ECE, GITAM (Deemed to be university), Visakhapatnam, India. Prof. P. Rajesh Kumar Assistant Professor, Department., of ECE, GITAM (Deemed to be university), Visakhapatnam, India. In this novel technique, a modified singular value decomposition named normalized singular value decomposition (NSVD) used for select the original image features to embedding the watermark image into these features. So, the quality of the original image won’t be affected. To select the Normalization Constant of NSVD, the optimization technique used is Genetic Algorithm (GA). In embedding stage, Particle Swarm Optimization (PSO) is used to optimize watermarking constant. Instead of these preliminaries the novel approach also used normalized block processing (NBP) to make the watermarked image more robust to rotation and flipping attacks. The various experiments are conducted on the novel approach to estimate the performance. The experimental results achieved good Robustness for most of the attacks compared to conventional approaches. 10 30 2019 1600 1609 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F8735.109119 https://www.ijeat.org/portfolio-item/f8735088619/ Associate Professor, Department of Computer Science, Jagan Institute of Management Studies, Delhi, India. Manjot Kaur Bhatia The growth rate of the Internet is exceeding that of any previous technology. As the Internet has become the major medium for transferring sensitive information, the security of the transferred message has now become the utmost priority. To ensure the security of the transmitted data, Image steganography has emerged out as an eminent tool of information hiding. The frequency of availability of image file is high and provides high capacity. In this paper, a method of secure data hiding in image is proposed that uses knight tour positions and further 8-queen positions in 8*8 pixel blocks.The cover image is divided into 8*8 pixel blocks and pixels are selected from each block corresponding to the positions of Knight in 8*8 chessboard starting from different pixel positions. 8-pixel values are selected from alternate knight position. Selected pixels values converted to 8-bit ASCII code and result in 8* 8 bit matrix. 8-Queen’s solution on 8*8 chessboard is applied on 8*8 bit matrix. The bits selected from 8-Queens positions and compared with 8-bit ASCII code of message characters. The proposed algorithm changes the LSB of only some of the pixels based on the above comparison. Based on parameters like PSNR and MSE the efficiency of the method is checked after implementation. Then the comparison done with some already proposed techniques. This is how, image steganography showed interesting and promising results when compared with other techniques. 10 30 2019 1610 1613 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F8736.109119 https://www.ijeat.org/portfolio-item/f8736088619/ Research Scholar Rajiv Gandhi Prodhyogiki Vishwavidyalaya, Department of Computer Science and Engineering University Bhopal (MP) india. Ravendra Singh* Dr Navin Prakash Rajiv Gandhi Prodhyogiki Vishwavidyalaya, Department of Computer Science and Engineering University Bhopal (MP) india. The aim of this paper is to provide an outline on cerebrum (brain) tumor diagnoses for folks that are new to virtual medical image processing. The strange improvement of cells within the brain is brain Tumor. Detection of brain tumor at early stage is feasible with image processing and the development of device learning. For early detection of extraordinary adjustments in tumor cells, Computer tomography, Magnetic resonance imaging strategies are used. Early detection and identification of tumor is the handiest manner to get remedy. Brain tumor is classed into two kinds benign and malignant tumor. Various imaging processing strategies had been proposed in latest couple of years for detection and class of brain tumor. Automatic segmentation method the usage of clustering and convolution neural community gives nice consequences. The PCA has been used for reducing the features from the segmented area gives superb outcomes compared to other techniques. For classification of brain tumors diverse algorithms any such Support Vector Machine, Artificial Neural Network, K-Nearest Neighbor are reviewed. These strategies correctly paintings on CT and MRI images 10 30 2019 1622 1630 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F8767.109119 https://www.ijeat.org/portfolio-item/f8767088619/ Faculty of Computer Science and Information Technology/ University Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia Jamilah Din Ilori Michael Faculty of Computer Science and Information Technology/ University Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia Muhammed Basheer Jasser Faculty of Computer Science and Information Technology/ University Putra Malaysia43400 UPM Serdang, Selangor, Malaysia Requirements Prioritization (RP) helps to discover the most desired requirements. System developers are not always fully able to implement stakeholders' requirements when time, scope and cost are limited. To solve this challenge, requirements must be prioritized. A few prioritization techniques have been proposed but nonehasbeen automated. Furthermore, rank reversals (updating rank status whenever requirements are added or deleted) is a major limitation of existing techniques. This paper uses AHP and Cost-Value methods for requirement prioritization while addressing rank reversal. The techniques are able to rank every requirement based on relative value and implementation cost. The AHP method allows an input from the system developers and system users and makes a pair wise comparison. The Cost value method ranks the requirements in terms of the ratio of value to cost. As requirements increases, human inconsistency in judgment increases. AHP calculates inconsistency and if it is less than 0.1 then stakeholders should consider new input values. The prioritization methods are implemented into a prioritization tool which creates a list of the prioritized requirements as output, then consequently generates a scatter plot to display relative values and implementation costs of input requirements. This tool is evaluated in terms of efficiency (total time taken for prioritization) and ease of use. 10 30 2019 1631 1635 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2634.109119 https://www.ijeat.org/portfolio-item/a2634109119/ Faculty of Computer Science and Information Technology, Universiti Putra Malaysia Shageetha Ramachandran Rozi Nor Haizan Nor Faculty of Computer Science and Information Technology, Universiti Putra Malaysia Yusmadi Yah Jusoh Faculty of Computer Science and Information Technology, Universiti Putra Malaysia A web portal can be defined as a personalized, single point of access to information, resources and services covering a wide range of topic. Based on some researches, a system based on the internet can improve the work efficiency to some extent and provide all kinds of academic administration information timely. As to establish the intended function, usability is a crucial factor to be embarked on. This will ensure that the users are attracted to use the portal by increasing the relationship between the users and the portal’s interface. The Applied Informatics Research Group (AIRG) is the group assigned by the Faculty of Computer Science and Information Technology (FSKTM) to manage the Research Group Portal System (RGPS) that is the sample used in this research. The RGPS is a web-based system that allows collaboration among the users; to locate, store, use and share their knowledge. The main objective of this research is to obtain the feedbackfrom the users regarding the usability of the RGPS that is deterring them from optimizing the usage of this system. Surveys and questionnaires are used to evaluate and the output acts an input to modify the interface of the RGPS. Again, validation will be done to weight the users’ experience with the modified user interface. 10 30 2019 1636 1640 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2635.109119 https://www.ijeat.org/portfolio-item/a2635109119/ Hanoi Open University, Hanoi, Vietnam Son Nguyen Van Duc Trinh Quang* Hanoi University of Science and Technology, Hanoi, Vietnam. Giang Nguyen Hoai Hanoi Open University, Hanoi, Vietnam In this paper, the design of a real-time digital multi--channel ECG signal acquisition system is presented. With the purpose of fabrication towards a simple, compact and low-cost tool for bioelectrical signal processing laboratories, the system is developed to acquire the 12 leads EGC signals and converted to numerical data based on an Arduino module named as Leonardo equipped 12 channels ADC. To observe the EGC waves, the ECG signals are amplified through designed amplifiers with the gain of 60 dB. To reduce the effects from the DC component as well as the baseline wandering and the high frequency noise, the active analog bandpass filter ranged in 0,05 Hz to 100 Hz was designed. The power line noise of 50 Hz also decreased with an active analog bandstop filter with attenuation -38 dB. Under the PC application was built using Labview programing, the low-cost digital ECG signal acquisition system was demonstrated with the requirement of observation in real-time. To clarify the small wave in the digital EGG signal, the limitation of the analog signal processing is improved through the digital filters parameterized in the software to increase the SNR from 1.4 dB to 27.6 dB. Practically, the system is evaluated through a series of experiments on a volunteer person resulting the ECG data is recorded and stored in a TDMS file. Since the system is designed as opened-system, a series of developments towards various applications in biomedical diagnosis based on digital signal analysis techniques is promised to be feasible in the near future. 10 30 2019 1641 1648 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1316.109119 https://www.ijeat.org/portfolio-item/a1316109119/ Faculty of Computer Science and Information Technology, Universiti Putra Malaysia Noor Aliza Mohd Ariffin Fiza Abdul Rahim College of Computing and Informatics, Universiti Tenaga Nasional Siti Nurulain Rum Faculty of Computer Science and Information Technology, Universiti Putra Malaysia One popular scheme used for authentication security is the implementation of multi-factor authentication (MFA). There have been several researches that discusses on multi-factor authentication scheme but most of these research do not entirely protect data against all types of attacks. Furthermore, most current research only focuses on improving the security part of authentication while neglecting other important parts such as the systems accuracy. Accuracy is based on how perfect is the system able to identify a genuine user or an intruder. Current multifactor authentication schemes were simply not designed to have security and accuracy as their focus. Accuracy can be measured as the success rate on tasks that requires a certain degree. For instance, the number of users who is successfully logging into the system using any technique provides a measure of accuracy. Usually, accuracy demands of users are impacted by other demands such as recall of required information, environmental, or other factors. In authentication, the accuracy factor was identified through the device pairing studies. In many cases in the authentication system requires users to enter a password or biometric traits with 100 percent accuracy for comparing it. Nevertheless, this research analyzes the level of accuracy based on the biometric accuracy of authentication. In this paper will explain the evaluation process on the accuracy level of the proposed authentication to get a highly accurate performance, which is based on FAR (false acceptance rate) and FRR (false rejection rate). Result from the experiment shows that the accuracy of proposed scheme is better than the accuracy of other previous schemes. This is even after additional security features has been added to the scheme. 10 30 2019 1649 1654 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2629.109119 https://www.ijeat.org/portfolio-item/a2629109119/ Faculty of Computer Science and Information Technology, Universiti Putra Malaysia Iskandar Ishak Nur Ilyana Ismarau Tajuddin Faculty of Computer Science and Information Technology, Universiti Putra Malaysia Yusmadi Yah Jusoh Faculty of Computer Science and Information Technology, Universiti Putra Malaysia Fatimah Sidi Faculty of Computer Science and Information Technology, Universiti Putra Malaysia Rusli Abdullah Faculty of Computer Science and Information Technology, Universiti Putra Malaysia Hamiruce Marhaban Faculty of Computer Science and Information Technology, Universiti Putra Malaysia Yusnita Tugiran Faculty of Computer Science and Information Technology, Universiti Putra Malaysia Yushaida Yusof Faculty of Computer Science and Information Technology, Universiti Putra Malaysia Increasing volumes of data are rapidly being produced by researchers with the advancement of digital technologies. In order to manage these data, a suitable research data repository infrastructure is needed by the higher learning institutions. Apart from storing the data, these data repository need to support the research data life-cycle that include the tasks of data creation, processing, analysis, preservation, access and reuse. The objective of this research is to deeply investigate the influencing factors fordata repository infrastructure in managing research data. A systematic literature review is conducted to perform the investigation where research papers are searched over three electronic journal databases. Selected papers are then analysed and a quality assessment has been conducted to identify the relevant infrastructure for research data repository. As a result, we identified the important components of research data repository infrastructure development. 10 30 2019 1655 1660 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2645.109119 https://www.ijeat.org/portfolio-item/a2645109119/ Research Scholar, Hindusthan College of Arts and Science, Coimbatore. M. Ilango Dr. A. V. Senthil Kumar Director of MCA, Hindusthan College of Arts and Science, Coimbatore. MANETs is the basic structure less network in which mobile nodes connecting point at which several line comes together to form a network structure. Network resources in MANETs are limited due to their forcefulness study of a given place. A mobile node in MANETs utilizes an interconnected system of things such as data transmission rate and battery power during data packet transmission. Thus the conserving network resource is important to maintain the quality of network services without delay. Therefore, Non-linear Differential Resource Optimization based Quality Aware Routing (NLDRO-QAR) Technique is proposed. The NLDRO-QAR Technique selects the resource optimized route path among multi paths for efficient data packet transmission in MANETs. The resource optimized route path is determined in proposed NLDRO-QAR Technique by choosing mobile node with higher resource availability as optimal nodes. The NLDRO-QAR Technique considers residual energy, residual bandwidth, and delay time as significant factor for computing resource availability of mobile nodes in MANETs. In order to effectively find out the optimal nodes (i.e. mobile node with higher resource availability) in dynamic environment. The NLDRO-QAR Technique chooses the resource optimized nodes in MANETs in order to transmit the packets between source and destination. As a result, NLDRO-QAR Technique efficiently reduces the energy and bandwidth utilization of data delivery in MANETs. The NLDRO-QAR method manage the simulation works on metrics such as energy utilization, average end to end delay, data loss rate and bandwidth utilization rate. The simulations results show that the NLDRO-QAR Technique is able to reduce the energy and bandwidth utilization for routing the data packet in MANETs as compared to state-of-the-art-works. 10 30 2019 1661 1668 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F8847.109119 https://www.ijeat.org/portfolio-item/f8847088619/ Department of Electronic and Electrical Engineering, University of Nottingham, Malaysia Campus Jalan Broga, 43500 Semenyih, Selangor D.E., Malaysia. Tan, Kelvin Sim Zhen Boezura Borhanuddin College of Graduate Studies, University Tenaga Nasional (UNITEN) 43000 Kajang, Selangor D.E., Malaysia. Wong, Yee Wan Department of Electronic and Electrical Engineering, University of Nottingham, Malaysia Campus Jalan Broga, 43500 Semenyih, Selangor D.E., Malaysia. Ooi, Thomas Wei Min Internet of Things Group Intel Technology Sdn. Bhd. Jalan Sultan Azlan Shah, Kawasan Perindustrian Bayan Lepas, 11900 Bayan Lepas, Pulau Penang, Malaysia. Khor, Jeen Ghee Department of Electronic and Electrical Engineering, University of Nottingham, Malaysia Campus Jalan Broga, 43500 Semenyih, Selangor D.E., Malaysia. This paper provides a platform to investigate and explore method of ‘partial decoding of JPEG images’ for image classification using Convolutional Neural Network (CNN). The inference is targeting to run on computer system with x86 CPU architecture. We aimed to improve the inference speed of classification by just using part of the compressed domain image information for prediction. We will extract and use the ‘Discrete Cosine Transform’ (DCT) coefficients from compressed domain images to train our models. The trained models are then converted into OpenVINO Intermediate Representation (IR) format for optimization. During inference stage, full decoding is not required as our model only need DCT coefficients which are presented in the process of image partial decoding. Our customized DCT model are able to achieve up to 90% validation and testing accuracy with great competence towards the conventional RGB model. We can also obtain up to 2x times inference speed boost while performing inference on CPU in compressed domain compared with spatial domain employing OpenVINO inference engine. 10 30 2019 1669 1678 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2709.109119 https://www.ijeat.org/portfolio-item/a2709109119/ Faculty of Computing, SIMAD Uinversity Ismail Mohamed Yusmadi Yah Jusoh Faculty of Computer Science and Information Technology,Universiti Putra Malaysia Rusli Abdullah Faculty of Computer Science and Information Technology,Universiti Putra Malaysia Rozi Nor Haizan Nor Faculty of Computer Science and Information Technology,Universiti Putra Malaysia Lilly Suriani Faculty of Computer Science and Information Technology,Universiti Putra Malaysia Despite of advances in systems and practices, performancemeasurement remains instrumental in helping organization discoverexistingproblems and propose viable solutions. On big data Analytics (BDA), more efforts are being focused, butperformance side is still a room for improvement. This paper discusses the development and implementation of performance measurement prototype system for big data systems. With this system, organizations can continually assess the performance gains and setbacks of their big data systems. The systems were developed based on measures and metrics retrieved from the extant literature. Then it was evaluated through review of subject-matter experts and usability survey. The development process of the prototype and the results of the evaluation are presented in this paper. 10 30 2019 1679 1683 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2637.109119 https://www.ijeat.org/portfolio-item/a2637109119/ Ph.D.Scholar, Department of Electrical Engineering, G. H. Raisoni College of Engineering, Nagpur, India Mr. Akshay A. Kakde* Dr. Shrikrishna G. Tarnekar Retired Professor, Department of Electrical Engineering, G.H.Raisnoi College of Engineering, Nagpur, India This paper deals with the use of the maximum energy of ultracapacitor at a faster transaction rate. This paperalso deals with the system-modeling, controller design, and faster energy transaction from ultracapacitor bank used in a hybrid electric vehicle. The energy transaction to dynamic load is through parallel-connected ultracapacitor bank and battery combination. The parallel-series topology has been implementing for ultracapacitor and the controller is designed to control energy-transactions from ultracapacitors. The DC-DC converter is only used for voltage regulation. This topology has aimed at the design leading to the excellent energy economy. Further, the main objective is to attain maximum utilization of energy in ultracapacitors during a ride-through condition, in minimum time. Three simulations have been carrying out with hardware implementation to compare these results. This includes energy sharing by ultracapacitor, in case of dynamic load. Hence, the proposed control strategy can provide a satisfactory improvement in energy- efficiency of ultra-capacitors, assuring maximum utilization and faster energy transaction. 10 30 2019 1684 1689 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F8893.109119 https://www.ijeat.org/portfolio-item/f8893088619/ Research Scholar, Bharath Institute of Higher Education and Research, Chennai. *A.R.Shakila Devi Dr.S.Rabiyathul Basairya Associate Professor & Research Supervisor, Dept of Commerce & Business Administration, Bharath Institute of Higher Education and Research, Chennai. Human resources management interventions are aimed at developing and assisting the plateaued employees of the organisation from job stress. In view of diverse needs of plateaued employees’ organisations must change the ways in which they get their work done and redefine their social contract that connects them. Increased diversity in the organisation in terms of age, gender, and culture brings in additional challenge for human resource management. It comes under work force diversity intervention. Finally, organisations have increased their focus on wellbeing of their plateaued employees using programs such as stress management counselling, work life balance, health and fitness consciousness. career planning and development interventions helps to recruit and retain skilled and knowledgeable workers. Career is the route map of a person’s life. Earlier career was looked upon as the advancement and promotion of an individual in an organisation but nowadays it is defined in a holistic way to include a person’s attitude and experience. 10 30 2019 1690 1693 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F8896.109119 https://www.ijeat.org/portfolio-item/f8896088619/ Department of Electronics and Telecommunication Engineering, BMS Institute of Technology and Management, Bangalore-64 , India. Raju Hajare* Mallikarjunagowda.C. P Department of Electronics and Telecommunication Engineering, BMS Institute of Technology and Management, Bangalore-64, India. The scaling down of transistors is of paramount importance to make ICs and devices more portable and efficient. As it is the most basic component of every electronic device, there is need of finding better and innovative methods of transistor characterization. CNTFET has shown the promise and is best suited for today’s faster digital processing units and Memory devices. Here Carbon Nano Tube (CNT) is characterized for its electrical property and then designed a XOR based CAM cell using CNTFET. Both delay and power analysis for the designed CAM is done. 10 30 2019 1694 1698 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F8904.109119 https://www.ijeat.org/portfolio-item/f8904088619/ Faculty of Computer Science, University Putra Malaysia,43400 UPM Serdang, Selangor, Malaysia Mohammed Ibrahim Muhammed Basheer Jasser Faculty of Computer Science, University Putra Malaysia,43400 UPM Serdang, Selangor, Malaysia Mohd Taufik Abdullah Faculty of Computer Science, University Putra Malaysia,43400 UPM Serdang, Selangor, Malaysia Azizol Abdullah Faculty of Computer Science, University Putra Malaysia,43400 UPM Serdang, Selangor, Malaysia Considering the large number of devices connected to the Internet of Things(IoT), identifying malicious devices for the purpose of “search & seizure” remainsa critical issue for digital investigators. Consequently, the need for techniques that automatically identify malicious devices can speed up the process of digital investigation. However, few conceptual approaches were proposed to identify malicious devices during IoT forensic investigation. To overcome that, a formal approach is proposed to automatically triage and fingerprint IoT Malicious devices with their respective states. It is expected that with the proposed formal approach, investigators can simply identify malicious devices, their states as well as determine the scope of investigation. 10 30 2019 1699 1702 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2638.109119 https://www.ijeat.org/portfolio-item/a2638109119/ Faculty of Computer and Mathematical Sciences, UniversitiTeknologi MARA, Shah Alam, Selangor, Malaysia.Institute of Malay Thoughts and Leadership (IMPAK), UniversitiTeknologi MARA, Shah Alam, Selangor, Malaysia Mudiana Mokhsin Amer Shakir Zainol Faculty of Computer and Mathematical Sciences, UniversitiTeknologi MARA, Shah Alam, Selangor, Malaysia Mohd Husni Mohd Som Faculty of Art and Design, Science, UniversitiTeknologi MARA, Shah Alam, Selangor, Malaysia.Institute of Malay Thoughts and Leadership (IMPAK), UniversitiTeknologi MARA, Shah Alam, Selangor,Malaysia Umaimah Kamarulzaman Institute of Malay Thoughts and Leadership (IMPAK), UniversitiTeknologi MARA, Shah Alam, Selangor, Malaysia Nur Athirah Ahmad Foad Faculty of Computer and Mathematical Sciences, UniversitiTeknologi MARA, Shah Alam, Selangor, Malaysia. Institute of Malay Thoughts and Leadership (IMPAK), UniversitiTeknologi MARA, Shah Alam, Selangor, Malaysia History subjects are often connected with the traditional and teacher-centered learning which is not a very effective method. The learning and teaching technique of history subject is static, and students easily lost their interest to memorizing the facts. From the preliminary study towards the primary school history teacher, they stated that history subject was very challenging subject to be taught since it was difficult to attract the pupils to imagine and appreciate the Malay History era. The study aims to highlight how teaching by using Digital Game-Based Learning (DGBL) can be applied as one of the techniques to improve history subject teaching method. This aim was achieved by answering three research objectives, 1)identifying the current practice among the teacher in teaching Malay Historical Subject, 2)investigating the teachers' perceptions toward using DGBL and 3) determining the barriers that influence teachers towards using DGBL in teaching Malay Historical Subject. The study was conducted together with 35 primary school Malay historical subject teachers in Malaysia. Prototype evaluation was conducted using one to one testing with 14 participants. A part of the study requiredthe participants to rank 20 prospective barriers identified as obstacles to digital game-based learning. 10 30 2019 1703 1707 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2641.109119 https://www.ijeat.org/portfolio-item/a2641109119/ Universiti Putra Malaysia Zulzalil Hazura Rahmat Hazwani Universiti Tun Hussein Onn Malaysia Abd Ghani Abdul Azim Universiti Tun Hussein Onn Malaysia Kamaruddin Azrina Universiti Tun Hussein Onn Malaysia This paper proposes a usability measurement forevaluating mobile applications. The measurement incorporates usability viewpoint of both, usability specialist and non-usability expert. The resulting usability measurements were validated through a survey of 113 industrial practitioners in Malaysia. Cronbach alpha of .952 reveals that the survey response is consistent and reliable. Hypothesis testing using a Chi-square goodness of fit indicates that the usability measurements were significantly feasible for real practice with p<.000.Mobile usability studies previously conceptualised usability from HCI perspective (e.g. usability attribute and heuristics), constraints and limitations of mobile devices. On the contrary, this paper characterise usability by integrating design features of mobile application through usability features, and quality attributes through usability criteria, in conceptualising apps usability dimension. 10 30 2019 1708 1713 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2643.109119 https://www.ijeat.org/portfolio-item/a2643109119/ Department of EN, Pranveer Singh Institute of Technology, Kanpur, India Brijesh Kumar Dubey Dr Achyut Narayan Kesari Pranveer Singh Institute of Technology, Kanpur, Ravi Kumar Gupta Pranveer Singh Institute of Technology, Kanpur, Dr. N.K. Singh Director, RVIT, Bijnor, India Many damping controller devices based on other techniques have been proposed time to time. For the study of the damping performance, it has been proposed a power systems model with ‘UPFC’ and power oscillation damping controller in the present article. The proposed controller performance has been studied under different simulation condition results and that also includes various loading condition, i.e., normal with 100 percent, under loading 80 percent and overloading with 120 percent at different operational points. Finally, a better result has been observed by using the proposed damping controlling device than earlier available existing devices. However, the result obtained by using Eigen value analysis is supported by the facts obtained by the settling time analysis and the analysis of simulation results. 10 30 2019 1714 1719 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F8968.109119 https://www.ijeat.org/portfolio-item/f8968088619/ Assistant Professor, Department of Electronics and Telecommunication, KIT College of Engineering, Kolhapur, India. Saurabh R Prasad Anushka D Kadage Assistant Professor, Department of Digital Communication and Digital Signal Processing, Visvesvaraya Technological University, Belgaum, Karnataka, India. Sachin M Karmuse Assistant Professor, Department of Computer Programming, Visvesvaraya Technological University, Belgaum, Karnataka, India. Shrinivas A Patil Professor, Department of Electronics and Telecommunication Engineering, DKTE Society's Textile and Engineering Institute, Ichalkaranji, India. Dr Bhalchandra B Godbole Associate Professor, Department of Electronics Engineering, Karmaveer Bhaurao Patil College of Engineering, Mumbai, Maharashtra, India. This paper presents a novel Complementary Pair Variable Step-size (CPVSS) Least Mean Square Algorithm which is implemented for active noise cancellation application. The result presents the effect of filtration to remove the 50 Hz ac hum noise from the 500 Hz audio tone. Discrete Fourier Transform, Short Time Fourier Transform, and Welch Periodogram of the noisy signal and filtered signal have been presented which shows effective improvement in SNR. The simulation study has shown the superiority of this algorithm over other algorithms under consideration. 10 30 2019 1720 1727 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1363.109119 https://www.ijeat.org/portfolio-item/a1363109119/ Mechanical Department, Bangalore University, India Sachudhanandan. S Dr. N. Lakshmanaswamy Mechanical Department, Bangalore University, Bangalore, India. This current effort appraised the effect of fiber alignment on mechanical possessions of ramie fiber reinforced epoxy composites. In this study ramie fiber is used by means of reinforcement which treated with NaOH solution for improving the attachment strength among fiber and resin by eliminating moisture substances. Models of dissimilar alignments of ramie fiber reinforced composites remained made-up by hand – layup process and studied their mechanical possessions like tensile power and flexural power. The effort of this investigational study devises remained approved out to determine the mechanical properties. The results of this study indicate the orientation 0o/0o shows the enhanced mechanical properties compare to 0o/90o, 45o/-45o and 0o/45o/-45o/90o. It remained projected that the usage 0o/0o orientation of ramie fiber composite as the alternates for artificial fiber in the development of the automobile body and engineering structure. 10 30 2019 1728 1732 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F8982.109119 https://www.ijeat.org/portfolio-item/f8982088619/ Associate Professor, Department of Biotechnology, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur-522 502, Andhra Pradesh, India. Karthikeyan S* Teshome Tayye Anbessa PG Student, Department of Biotechnology, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur-522 502, Andhra Pradesh, India. In the present investigation, the transesterification of waste cooking oil (WCO) to biodiesel over homogenous catalyst KOH have been carried out. To optimize the transesterification process variables both response surface method (RSM) and artificial neural network (ANN) mathematical models were applied to study the impact of process variables temperature, catalyst loading, methanol to oil ratio and the reaction time on biodiesel yield. The experiments were planned with a central composite design matrix using 24 factorial designs. A performance validation assessment was conducted between RSM and ANN. ANN models showed a high precision prediction competence in terms of coefficient of determination (R2 = 0.9995), Root Mean Square Error (RMSE = 0.5702), Standard Predicted Deviation (SEP = 0.0133), Absolute Average Deviation (AAD = 0.0115) compared to RSM model. The concentration of catalyst load was identified as the most significant factor for the base catalyzed transesterification. Under optimum conditions, the maximum biodiesel yield of 88.3% was determined by the artificial neural network model at 60 ºC, 1.05 g catalyst load, 7:1 methanol to oil ratio and 90 min transesterification reaction time. The biodiesel was analyzed by GCMS and it showed the presence of hexadecanoic acid, 9-octadecenoic acid, 9, 12, 15-octadecatrienoic acid, eicosenoic acid, methyl 18-methyl-nonadecanoate, docosanoic acid, and tetracosanoic acid as key fatty acid methyl esters. 10 30 2019 1733 1739 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F9005.109119 https://www.ijeat.org/portfolio-item/f9005088619/ communication Techniques Engineering Department, Engineering Technical College-Najaf, AL-Furat Al-Awsat Technical University, Najaf, Iraq. Nada Taher Malik Ahmad T Abdulsadda communication Technical Engineering Department, Engineering Technical College-Najaf, AL-Furat Al-Awsat Technical University, Najaf, Iraq. Prof. Dr. AbdulKadum Jafar Al Yasiri. communication Technical Engineering Department, Engineering Technical College-Najaf, AL-Furat Al-Awsat Technical University, Najaf, Iraq. Most of the ongoing exploration in wireless relay node networks and data preparing has considered point-to-point correspondence system. In remote helpful or then again sensor organizes, the hand-off or sensor relay node may have restricted battery holds and may need to depend on some outside charging component so as to stay dynamic in the system. Along these lines, vitality reaping in such systems is especially significant as it can empower data handing-off. In this thesis, we are worried about the issue of remote vitality collecting and data preparing in an intensify and-forward (AF) remote agreeable or sensor arrange. We consider the situation that a vitality obliged hand-off relay node harvests vitality from the RF sign communicated by a source node and utilizations that reaped vitality to advance the source signal to a destination node. We consider time switching (TS) and power switch (PS) scheme structures. we propose two transferring conventions: i) TS-based handing-off (TSR) convention and; ii) PS-based handing-off (PSR) convention for discrete data handling and vitality reaping at the vitality compelled wireless relay node. The primary commitments of this thesis are abridged as pursues: • We propose the TSR and the PSR conventions to empower remote vitality reaping and data handling at the vitality obliged transfer in remote AF transferring systems, in light of the TS and PS collector structures. • For the TSR and the PSR conventions, we determine logical articulations for the reachable throughput at the goal. • Comparing the TSR and the PSR conventions, our numerical investigation demonstrates that in postponement restricted transmission mode, the throughput execution of the TSR convention is better than the PSR convention at higher transmission rates, at generally lower signal-to-commotion proportion (SNR), and for lower vitality gathering productivity. • We propose the combination ATPSR system and demonstrate the optimal throughput for that system. • Finally, design and built the hardware circuit and using particle swarm optimization techniques to find the optimal value for the parameters. 10 30 2019 1740 1746 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F9015.109119 https://www.ijeat.org/portfolio-item/f9015088619/ Dept. of Software Engineering and Information System, Faculty of Computer Science and Information Technology Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia Najla’a Ateeq Mohammed Draib Abu Bakar Md Sultan Dept. of Software Engineering and Information System, Faculty of Computer Science and Information Technology Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia Abdul Azim B Abd Ghani Dept. of Software Engineering and Information System, Faculty of Computer Science and Information Technology Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia Hazura Zulzalil Dept. of Software Engineering and Information System, Faculty of Computer Science and Information Technology Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia SQL injection vulnerabilities have been predominant on database-driven web applications since almost one decade. Exploiting such vulnerabilities enables attackers to gain unauthorized access to the back-end databases by altering the original SQL statements through manipulating user input. Testing web applications for identifying SQL injection vulnerabilities before deployment is essential to get rid of them. However, checking such vulnerabilities by hand is very tedious, difficult, and time-consuming. Web vulnerability static analysis tools are software tools for automatically identifying the root cause of SQL injection vulnerabilities in web applications source code. In this paper, we test and evaluate three free/open source static analysis tools using eight web applications with numerous known vulnerabilities, primarily for false negative rates. The evaluation results were compared and analysed, and they indicate a need to improve the tools. 10 30 2019 1747 1751 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2648.109119 https://www.ijeat.org/portfolio-item/a2648109119/ Faculty of Computer and Mathematical Sciences, UniversitiTeknologi MARA Kamalia Azma Kamaruddin Nur Afiqah Roslan Faculty of Computer and Mathematical Sciences, UniversitiTeknologi MARA One of the major issues in a university campus is the trouble of discovering parking spots. With excessive number of cars enteringUniversitiTeknologi MARA (UiTM) main campus and limitation of parking spots, vehicle parking is one of the major problems faced by the university’s staff and students. Carpooling or ride-sharing is viewed as the practical approach to solve this problem. The suggestionto share rides will lessen the amount of vehicles enteringUiTMcampusesthus reducing parking space problem anddecrease fuel emission for acleaner and healthier environment. Development of UiTM Share Ride Mobile Application will be a medium forUiTMstaff and studentsto sharetheir rides thus, requirements engineering of the application need to be performed. In this research, data collection methods such as online surveys and interviews were used to provide accurate requirements for the development of the application.Using thematic analysis and Kano Model prioritization technique, specific quality characteristics and degrees of accomplishment were usedto assess the requirements in view of consumer satisfaction. As a result, a total of seventy-seven requirements has been gathered and categorized according to the Kano technique and a use case diagram was built to demonstrate the requirements functionalities of UiTM Share Ride Mobile Application. 10 30 2019 1752 1757 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2653.109119 https://www.ijeat.org/portfolio-item/a2653109119/ Dept. of Software Engineering and Information System, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Mohamed Abdullahi Ali Ng Keng Yap Dept. of Software Engineering and Information System, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia In Component Based Software Development (CBSD), applications are built from existing components either by assembling or replacing software parts. Reusing components may lead to faster software development and subsequently reduce cost and provide higher product quality. In CBSD, software component models define what components are and how they compose. However, no research has been done to assess the quality of software component models, to assess the characteristics of software component design. This paper proposed a software component quality model specifically to answer the question what characteristics make good component. A Systematic Literature Review (SLR) has been conducted by defining a robust protocol that combines automatic searches from different sources. The finding of the SLR has contributed to the development of quality model for CBSD, i.e. a proposed component quality model with metrics which is specific to software component design. 10 30 2019 1758 1762 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2659.109119 https://www.ijeat.org/portfolio-item/a2659109119/ College of Graduate Studies, Universiti Tenaga Nasional Juraifa Jais Soong Der Chen College of Graduate Studies, Universiti Tenaga Nasional Rabiah Eladwiah Abdul Rahim College of Graduate Studies, Universiti Tenaga Nasional Norashidah Md Din College of Graduate Studies, Universiti Tenaga Nasional This study was conducted in order to identify the motivational factors for student in pursuing Massive Open Online Courses (MOOC). The respondents of this study consisted of 38 postgraduate students studying in Universiti Tenaga Nasional (UNITEN). The results showed that students are motivated to enroll MOOC which are offered by prestigious universities. Student’s curiosity to learn the content of MOOC is also another important factor. The study also indicated that students are motivated to pursue MOOC which are supplementary to the content of classes offered by other institutions. 10 30 2019 1763 1765 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2698.109119 https://www.ijeat.org/portfolio-item/a2698109119/ M.Tech student, Department of Civil Engineering,ParulUniversity,Vadodara,Gujarat,India. Ahmad Javeed Faizi* Jayesh Juremalani Assistant Professor, Department of CivilEngineering,ParulUniversity,Vadodara,Gujarat,India. Sanket Bagadia Assistant Professor, Department of Civil Engineering, ParulUniversity,Vadodara,Gujarat,India. Dr. Dharmesh Juremalani Dean and Principal of G C Patel institute of Architecture, Surat, Gujarat, India. In the present scenario in world, many mode choice models have been developed to predict the travelers mode choice in the available modes of transportation system .The mode choice model is one of a very significantcomponent in the urban transportation planning and policies,specifically in countries that are toward development and urbanization, likeSouth Asian countries(India, Bangladesh, Nepal,etc.)the increasing horizontal spread of cities that led to increased travel demand.The aim of this review is to study the developing of mode choice model for various transportation modes .The developed models cover different modes of transportation currently employed in cities,which are Private car,Taxi,Publicbus,Auto-rickshaw,Motorcycles,Shared car,Bicycles,Walking.They have been tried to be estimated for work, education,shopping and other trips .There are some factors that considerablyinfluence the choice of transport modes are:Socio economics variables such as age,gender, car ownership,and family monthly income.Network variables are such as travel time,travel cost,comfort,reliability, employment, driving licenseweather,and dust &noise. The data was collected for eachof the alternative modes through questionnaire by face to face interview or by using Google form. There are different methods that can be applied for the developing a mode choice model,multinomial logitmodel is the easiest method with simple mathematical calculations; this method was also used by many authors for analysis and for checking the validation the likelihood ration test .the application of mode choice model is significant to mode user to have best choice, and also such models can assist in the alleviation of traffic congestion and air pollution in the city. 10 30 2019 1766 1770 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F9056.109119 https://www.ijeat.org/portfolio-item/f9056088619/ Assist. Prof., Electronics Engineering, DKTE‟s Textile and Engineering Institute, Ichalkaranji, Maharashtra, India Mrs. Anjali R. Patil Dr. S. Subbaraman Professor, Electronics Engineering Department, Walchand College of Engineering, Sangli, Maharashtra, India The hand gesture detection problem is one of the most prominent problems in machine learning and computer vision applications. Many machine learning techniques have been employed to solve the hand gesture recognition. These techniques find applications in sign language recognition, virtual reality, human machine interaction, autonomous vehicles, driver assistive systems etc. In this paper, the goal is to design a system to correctly identify hand gestures from a dataset of hundreds of hand gesture images. In order to incorporate this, decision fusion based system using the transfer learning architectures is proposed to achieve the said task. Two pretrained models namely ‘MobileNet’ and ‘Inception V3’ are used for this purpose. To find the region of interest (ROI) in the image, YOLO (You Only Look Once) architecture is used which also decides the type of model. Edge map images and the spatial images are trained using two separate versions of the MobileNet based transfer learning architecture and then the final probabilities are combined to decide upon the hand sign of the image. The simulation results using classification accuracy indicate the superiority of the approach of this paper against the already researched approaches using different quantitative techniques such as classification accuracy. 10 30 2019 1771 1777 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F9058.109119 https://www.ijeat.org/portfolio-item/f9058088619/ Ph.D from GIT, Gandhi Institute of Technology and Management, University in Visakhapatnam, (A P) India. P. Laxmikanth Dr. Bhramaramba Ravi Ph.D from GIT, Gandhi Institute of Technology and Management, University in Visakhapatnam, (A P) India. Rapid growth of population in particular in elderly, signifies the issues of healthcare have become a concern. Also the lifestyle changes together with social and economical factors influences the cause of disease generation among the generated diseases, diabetic disease is mostly populated. Therefore effective measures are to be taken so that the early wakeup with regard to disease treatment helps to minimize the after effects. In this article, a novel methodology based on Gaussian mixture model built for analyzing the patients and help to identify the disease during the primitive stage. The methodology is presented based on PIMA INDIAN DATASET.The Results derived showcase efficacy of the developed method. 10 30 2019 1778 1783 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F9060.109119 https://www.ijeat.org/portfolio-item/f9060088619/ Research scholar of Gurukul Kangri Vishvidhalaya Haridwar, Uttrakhand, India. Roopa Kumari Neena Gupta* Assistant Professor, Gurukul Kangri Vishvidhalaya Haridwar, Uttrakhand, India. Narender Kumar Assistant Professor, Hemvati Nandan Bahuguna Garhwal University, Srinagar GarhwalUttarakhand, India. Segmentation of image is a complex task. To recognize an image, segmentation is essential parts. During image segmentation, subsets of images on the basis of some features like gray levels values of pixels or position of pixels find out. This is an NP-complete problem, to find the solution to such problems is a computationally hard task. Some heuristic algorithm can be used to find out the solution to such a hard task. These algorithms find approximate solutions. Exact solution of such problems is not possible. Genetic algorithm can be considered a metaheuristic algorithm used the evolution of the population of solutions. This paper proposedan improved Genetic Algorithm that used to find multi-level thresholding segmentation of the image. The threshold value can be calculated by cumulative histogram and satisfactory result have been given by the experiments done on test images that are taken from Mnist datasets. 10 30 2019 1784 1792 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F9063.109119 https://www.ijeat.org/portfolio-item/f9063088619/ Assistant Professor, Department of Mechanical Engineering, Gojan School of Business and Technology, Chennai, (Tamil Nadu), India. Ramu S K Krishna Kumar Lecturer, Department of Mechanical Engineering, Ibri College of Technology, Oman. A Shanmugasundaram Assistant Professor, Department of Mechanical Engineering, Sri Shakthi Institute of Engineering & Technology, Coimbatore, (Tamil Nadu), India. Dr. BR Ramesh Bapu Professor, Department of Mechanical Engineering, Chennai Institute of Technology, Kundrathur, Chennai, (Tamil Nadu), India. The greatest dealon the article have to approach the experimental design, dimensions and formulations in Silicon Carbide and Epoxy Matrix Radiator. The experiment prepared as per the fabrication chart behind that known about the characterization of material and proposal layout of fabrication work. Among the research work, concentrated the formation of silicon carbide epoxy matrix radiator in the given configuration and composition prepared as a high thermal conductive Epoxy resin is mixed at the ratio of 20wt% of epoxy resin 80% of Silicon Carbide. As silicon carbide has higher thermal conductivity and lowerthermal expansion than Aluminium and then the experimented result determined by the rate of heat transfer analysis such as the mode of heat transfer like Conduction, Convection and Radiation of the materials (Aluminium 6061 and Sic + Epoxy Resin). The following heat transfer characteristics formulated and calculated as per the given design, dimension and configuration of the materials. 10 30 2019 1793 1796 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F9069.109119 https://www.ijeat.org/portfolio-item/f9069088619/ The Schools of Finance, the Research University Higher school of Economics, Moscow, Russia. Victor Ivanov* Elena Hmelchenko Public and Municipal Administration, "State University of Management", Moscow, Russia. Nonna Koroleva Department of economic policy and economic measurements, State University of Management, Moscow, Russia. Svetlana Sokolova Department of State and Municipal Administration, State University of Management, Moscow, Russia. Bayrta Ubushaeva Department of public administration, "State University of Management", Moscow, Russia. Digital technologies from an unknown phenomenon in the hands of advanced scientists have passed into an urgent need with which most modern people can no longer part either at home or in the framework of their work processes. Huge robotic productions have already been created and are operating, and automation has become understandable and familiar to all citizens, regardless of their initial education and current age. In our opinion, the key problem today, not so much in new technical systems, there are already quite a few of them, but in a completely different level of its use corresponding to the features and tasks of the digital environment of the fourth industrial revolution, which is primarily determined by new principles of organization and management. German Gref [2] at the INCOSAI Congress, expressed the idea that the world is on the verge of the first revolution of state administration, since its prevailing technologies do not correspond to the realities of the fourth industrial revolution. Moreover, in the framework of the so-called four industrial revolutions of this kind, changes in managerial paradigms took place constantly and in parallel to these events. It remains to add that if we go beyond the usual division of the processes of economic development into 4 industrial revolutions, and consider them more broadly as scientific and technical, then, for example, D. Shmihula [14]) in his works identified 10-11 such periods in History, which correlates with our own research in the framework of the theory of social development (TOR V.V. Ivanova [4]), where the period starting from 2026 (social formation) will be the tenth since the Neolithic revolution - the beginning of the domination of the social development of mankind . And each is determined by its own circle of technological and other innovations, including new approaches to management. These approaches change at such a moment in the most natural way, in connection with the next change to this point at this point in a public (including economic) organization, which requires new management approaches. 10 30 2019 1797 1800 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1429.109119 https://www.ijeat.org/portfolio-item/a1429109119/ DCSA, Panjab University SSGRC, Hoshiarpur, Punjab, India. Rajinder Singh* Dr. Satish Kumar DCSA, Panjab University SSGRC, Hoshiarpur, Punjab, India. Nowadays, security of wireless local area networks (WLANs) is the biggest concern for many organizations. Protecting wireless networks from unauthorized users is a major concern to be addressed. The broadcasting nature of the wireless networks makes it vulnerable to carry different types of attacks. Main wireless threats are man in the middle attack, eavesdropping, evil twin attack and replay attack etc. In this paper Replay Attack threat is highlighted. An attacker can use many different tools available freely on the internet to carry this type of attack. We propose a methodology to detect the Replay attack. In this paper a variant of replay attack called address resolution replay attack is discussed. To carry this attack Ettercap tool is used. In this type of attack, attacker floods the wireless network with ARP traffic. So the performance of the wireless network degrades. To detect ARP request/replay attack our proposed method uses protocol field and nature of frame field. A Replay attack in which all the traffic captured and replayed is also discussed. To detect this type of attack, main parameters which are considered are the number of retransmitted packets, number of duplicate ACK and number of TCP spurious retransmitted packet. 10 30 2019 1801 1807 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1437.109119 https://www.ijeat.org/portfolio-item/a1437109119/ Department of Computer Science & Engineering, Annamalai University, Chidambaram. D. Jayaraj S. Sathiamoorthy Tamil Virtual Academy, Chennai. Lung cancer is a serious illness which leads to increased mortality rate globally. The identification of lung cancer at the beginning stage is the probable method of improving the survival rate of the patients. Generally, Computed Tomography (CT) scan is applied for finding the location of the tumor and determines the stage of cancer. Existing works has presented an effective diagnosis classification model for CT lung images. This paper designs an effective diagnosis and classification model for CT lung images. The presented model involves different stages namely pre-processing, segmentation, feature extraction and classification. The initial stage includes an adaptive histogram based equalization (AHE) model for image enhancement and bilateral filtering (BF) model for noise removal. The pre-processed images are fed into the second stage of watershed segmentation model for effectively segment the images. Then, a deep learning based Xception model is applied for prominent feature extraction and the classification takes place by the use of logistic regression (LR) classifier. A comprehensive simulation is carried out to ensure the effective classification of the lung CT images using a benchmark dataset. The outcome implied the outstanding performance of the presented model on the applied test images. 10 30 2019 1808 1819 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1439.109119 https://www.ijeat.org/portfolio-item/a1439109119/ Department of IT, MIT College of Engineering, Pune, India. Aditi Jahagirdar* Manoj Nagmode Department of E & TC, Government College of Engineering and Research, Avasari, India. Deep learning is current buzz word in domain of computer vision. In this work, a method for human action recognition based on a variation of General Convolutional Neural Network (GCNN), called Scaled CNN (SCNN) is proposed. In GCNN, weights of the network are updated in every epoch of training to minimize the classification error. In SCNN, the weighs are first computed using gradient descent algorithm as in GCNN, and then multiplied by scaling factor. Scaling factor is calculated using statistical measures, mean and standard deviation of the frames. Since statistical measures vary from video to video, scaling factor adapts to these changes. As the statistical information from the frames is directly used to alter the weights, it results in minimizing the error faster as compared to GCNN. Results of the proposed method prove that higher accuracy can be achieved with less number of epochs if scaling is used. 10 30 2019 1820 1826 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1440.109119 https://www.ijeat.org/portfolio-item/a1440109119/ Department of Computer and Information Science Annamalai University B. Pushpa M. Kamarasan Department of computer and Information Science Annamalai University Exponential growth in the generation of multimedia data especially videos resulted to the development of video summarization concept. The summary of the videos offers a collection of frames which precisely define the video content in a considerably compacted form. Video summarization models find its applicability in various domains especially surveillance. This paper intends to develop a video summarization technique for the application of forest fire detection. The proposed method involves a set of processes namely convert frames, key frame extraction, feature extraction and classification. Here, a Merged Gaussian Mixture Model (MGMM) is applied for the process of extracting key frames and kernel support vector machine (KSVM) is employed for classifying a frame into normal frame and forest fire frame. The simulation analysis is performed on the forest fire video files from FIRESENSE database and the results are assessed under several dimensions. The final outcome proves the efficiency of the presented MGMM-KSVM model in a considerable way. 10 30 2019 1827 1831 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1442.109119 https://www.ijeat.org/portfolio-item/a1442109119/ Research scholar, Department of ECE, sathyabama institute of science and technology, Chennai-600119, Tamil Nadu, India R. Krishnaprasanna* V. Vijayabaskar Professor, Department of ETCE, sathyabama institute of science and technology, Chennai-600119, Tamil Nadu, India,. Epilepsy, a neurological syndrome can be detected via the electroencephalogram (EEG) signal with the help of sensors placing in the human cranium. This article introduces a fresh method known as the Area of Octagon (AOO), used for Focal (F) and Non-Focal (NF) EEG Signal classification. Initially, both class signals are putrefied into many intrinsic mode functions (IMF) with the help of Empirical mode decomposition (EMD) algorithm. The AOO can be computed with the help of decomposed IMFs. The AOO is now used as an input feature set for the classifier. This research aims to discriminate the F and NF EEG measurements for the therapy resistance. The proposed method attained an average classification accuracy of 97.9% with Linear, polynomial and an RBF kernel. 10 30 2019 1832 1838 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1450.109119 https://www.ijeat.org/portfolio-item/a1450109119/ Department of Mechanical Engineering, V B S Purvanchal University Jaunpur (U.P.)-222001, India Sandip Kumar Singh CNN is a very powerful deep learning technique for classification when the size of data is significant. It has been observed that it fails to give any reasonable classification when size of the data is small. This paper deals with an enhanced data technique, which is very useful for smaller size of available data. We proposed to increase the size of data to multiple times until a good classification accuracy is acquired. The paper shows that the neural networks perform very efficiently when such type of enhancement is done. It has been elaborated for evaluating the classification of faults of centrifugal pumps. The CNN-2D and CNN-1D yield 100% accuracy for diagnosing the faults of in this case. The performance is also compared with that of ANN. The number of epochs required to reach 100% accuracy for multiple different sizes of data is used to evaluate the performance. The enhanced data approach also shows that there is a drastic fall in overall classification time of CNN. 10 30 2019 1839 1848 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1473.109119 https://www.ijeat.org/portfolio-item/a1473109119/