19c96fd517d854497e8-53fd 20220108024205287 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/ Electronics and Communication Engineering Department, Madhav University, Pindwara, Rajasthan, India. Venkat P. Patil Dr. C. Ram Singla Electronics and Communication Engineering Department, Madhav University, Pindwara, Rajasthan, India. Umakant B. Gohatre Electronics and Communication Engineering Department, Madhav University, Pindwara, Rajasthan, India. Panorama development is the basically method of integrating multiple images captured of the same scene under consideration to get high resolution image. This process is useful for combining multiple images which are overlapped to obtain larger image. Usefulness of Image stitching is found in the field related to medical imaging, data from satellites, computer vision and automatic target recognition in military applications. The goal objective of this research paper is basically for developing an high improved resolution and its quality panorama having with high accuracy and minimum computation time. Initially we compared different image feature detectors and tested SIFT, SURF, ORB to find out the rate of detection of the corrected available key points along with processing time. Later on, testing is done with some common techniques of image blending or fusion for improving the mosaicing quality process. In this experimental results, it has been found out that ORB image feature detection and description algorithm is more accurate, fastest which gives a higher performance and Pyramid blending method gives the better stitching quality. Lastly panorama is developed based on combination of ORB binary descriptor method for finding out image features and pyramid blending method. 10 30 2019 1849 1854 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1497.109119 https://www.ijeat.org/portfolio-item/a1497109119/ Department, civil engineering department, Pace institute of technology and sciences, vallur, prakasam dist., Andhra Pradesh, India. G.Ganesh Naidu M.Sri Durga Vara Prasad Assistant professor, civil Department, Pace institute of technology and sciences, vallur, prakasam dist., Andhra Pradesh, India. K.Anil Kumar PG scholar, civil department, Pace institute of technology and sciences, vallur, prakasam dist., Andhra Pradesh, India. This research paper gives the behaviour of reinforced concrete continuous beams under static loading by externally bonding with GFRP sheets. A standard two span continuous beams of size (300×300×2500)mm were casted. Reference beam with no external bonding is prepared to compare the values. Identical reinforcement arrangement is done for all beams. RC beams are tested for failure, load capacity and deflection analysis. Test results are compared for reference and GFRP bonded beams. 10 30 2019 1855 1857 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1504.109119 https://www.ijeat.org/portfolio-item/a1504109119/ Electrical and Electronics Engineering, Anurag Group of Institution, S. Bhargavi K.Sateesh Kumar Electrical and Electronics Engineering, Anurag Group of Institution Dr.T.Anil Kumar HOD, Electrical and Electronics Engineering, Anurag Group of Institution D. Krishna Electrical and Electronics Engineering, Anurag Group of Institution, In this paper a PVA fed Induction machine (IM) and PMSM inverter drive circuit is proposed with vector control to maintain speed of the motor with respect to solar irradiation. The speed of the IM &PMSM is controlled by feedback from the sensor of machine. The speed controller is upgraded with MPPT reference speed estimation which generates required speed with respect to voltage and current feedback from PVA.The speed controller of PMSM is updated with 49 rule based fuzzy interface system with 7 membership functions. The circuit is modelled in MATLAB Simulink environment with results and graphs generated with respect to time. 10 30 2019 1858 1864 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1520.109119 https://www.ijeat.org/portfolio-item/a1520109119/ Assistant Professor, Department of Tourism and Hotel and Restaurant Business, Odessa National Economics University, Odessa, Ukraine. Sergii Nezdoyminov* Ganna Bedradina Senior Lecturer, Department of Tourism and Hotel and Restaurant Business, Odessa National Economics University, Odessa, Ukraine. Andrii Ivanov Assistant Professor, Department of Tourism and Hotel and Restaurant Business, Odessa National Economics University, Odessa, Ukraine. The objective need for quality management has identified the special role of digital technology in booking services, information and communication systems in the tourism business. The quality of services is one of the most important components of the efficiency and profitability of the tourism industry in the current conditions of tourism development. The quality management system of production processes in the tourism sector should be a continuous process of measures aimed at improving the level of services, improving production elements and introducing innovative technologies. All the processes of designing, ensuring and maintaining the quality of tourism products should be integrated into the quality management system. It has been established that the consistency between the priorities of the enterprise in the field of improving the quality of services and the goals of the overall set of business processes is a condition for the effective and long-term development of the enterprise. The authors determined that modern management and modeling of business processes in enterprises, speed and quality of customer service require a specialized software product developed exclusively for the needs of the tourism industry. Based on the methods of financial analysis, the authors of the article substantiated the economic feasibility of implementing Fox Manager BPA 2.5 software using the example of a travel company. The profitability index of the proposed software product will be 1.6. The estimated payback period is 1.7 years. The authors' suggestions are aimed at creating a modern workplace for sales managers and automation of internal office processes in a travel company using digital technology. 10 30 2019 1865 1869 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1001.109119 https://www.ijeat.org/portfolio-item/a1001109119/ pursuing his M. Tech (2017-2019) in Hydraulics and Water Resource Engineering from Delhi Technological University. Mr. Kaustubh Chauhan Dr. Bharat Jhamnani holding the post of Professor, Department of Civil Engineering, Delhi Technological University. The threat of local scour around bridge piers has been in research for many years. According to the various studies, local scour around the bridge pier is the prime cause for most of the bridge failures. The main objective of the present study was to investigate the flow behavior and the scour phenomenon around the bridge piers of various shapes namely Circular, Elliptical, Square and Streamlined. Local scouring depends on various factors like depth of flow, upstream flow conditions, pier shape and dimensions. Here, we have taken only pier shape as the primary factor and kept other factors constant. The numerical simulations were even carried out using CFD- Fluent, Eulerian multiphase model, k–epsilon turbulence model, to elaborate the physics behind the scour formation. CFD simulation tool can be used for wide understanding of the flow behavior around the bridge piers even without physical model studies because it saves time and money as compared to experimental studies. Three dimensional simulation of flow behavior around four pier shapes indicates that the streamlined pier is the most efficient pier to use as it allows the flow to pass smoothly around it creating less obstruction to the flow and hence creating less chances of local scouring near the pier toe. 10 30 2019 1870 1880 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1002.109119 https://www.ijeat.org/portfolio-item/a1002109119/ Assistant Professor, Department of Computer Science Engineering SRM Institute of Science & Technology Chennai, India Arun V Oandrilla Podder Department of Computer Science Engineering SRM Institute of Science & Technology Chennai, India Tejal Arya Department of Computer Science Engineering SRM Institute of Science & Technology Chennai, India Pratyaksh Sharma Department of Computer Science Engineering SRM Institute of Science & Technology Chennai, India Sensors are global devices that are frequently used to detect and respond to electrical or optical signals. The sensors convert the physical variables. Generally they are to sense all materials, have fast response time, are cost effective and are quite predictable. However there are distance limitations, requires physical contact with target and are quite sensitive to extreme environmental changes. Monitoring and controlling environmental factors is a major factor to improve the yield of maize, which is our area of concern. The system includes monitoring temperature, humidity, water level, pH and the level of chemicals present. A single Raspberry-pi board is programmed to sense and monitor the system. The sensed values of the sensors are viewed on a LCD display. The critical and the desired ranges are fed as a database in excel sheet. Looking on to the results obtained from the sensors, the values in the database, and putting Logistics Regression Algorithm to use, smart predictions are done to display the information required to the farmer for efficient cultivation of the crop. Considerably, by the connections through multi-core processor, the system deliberately connects and improves the network among the sensors, which are connected to the processor to get better data transmission. An increase in product quality and quantity is achieved by following the above mentioned system. 10 30 2019 1881 1886 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1009.109119 https://www.ijeat.org/portfolio-item/a1009109119/ Department of Electrical Engineering Universitas Trisakti, DKI Jakarta, Indonesia. Syah Alam Indra Surjati Graduate Prograne of Ekectrical Engineering, Universitas Trisakti, DKI Jakarta, Indonesia. Lydia Sari Graduate Prograne of Ekectrical Engineering, Universitas Trisakti, DKI Jakarta, Indonesia. Yuli Kurnia Ningsih Graduate Prograne of Ekectrical Engineering, Universitas Trisakti, DKI Jakarta, Indonesia. This paper proposes design of parasitic microstrip antenna with multiple feed line for mobile communication applications at range frequency of 1800 – 2100 MHz. The purpose of adding multiple feed line is to enhanced the bandwidth of the proposed antenna. The multiple feed line used has an impedance of 100 Ohm and is placed on the edge of the patch parasitic microstrip antenna. The optimal bandwidth of the microstrip antenna is obtained by adjusting the dimensions and position of the multiple feed line. From the measurement results obtained return loss of -14.91 dB, VSWR of 1.44 at working frequency of 1800 MHz and bandwidth of 427 MHz with a frequency range 1715 MHz - 2142 MHz. . From these results it can be concluded that the banwidth of proposed antenna has met the criteria to be used in a mobile communication system. 10 30 2019 1887 1891 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1019.109119 https://www.ijeat.org/portfolio-item/a1019109119/ Full Time Ph.D. Research Scholar, Department of Computer Science and Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu, INDIA Amedapu Srinivas R. Leela Velusamy Professor, Department of Computer Science and Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu, INDIA Social networking is the grouping of individuals into specific groups, like small rural communities or a neighborhood subdivision. A fundamental problem in the analysis of social networks is the tracking of communities. A community is often defined as a group of network members with stronger ties to members within the group than to members outside the group. The traditional method for identifying communities in networks is hierarchical clustering. Recently, several works have been done in this community identification using different type of clustering algorithm and connectivity-based scoring function. In this paper Random Head Node Technique and Highest Degree Head Node Techniques are proposed to group the nodes into communities. In these techniques best set of centroids are chosen based on the fitness value to cluster the nodes into communities. 10 30 2019 1892 1900 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1021.109119 https://www.ijeat.org/portfolio-item/a1021109119/ Electronics & Communication, Amity University Uttar Pradesh, Noida, India. Yogesh* Ashwani Kumar Dubey Electronics & Communication, Amity University Uttar Pradesh, Noida, India. Rajeev Ratan Electronics & Communication, MVN University, Palwal, India. Machine learning-based classification and detection of surface defect of fruit involve manual feature identification and selection from input datasets. Deep learning discovers the useful features from the input data. This approach simplifies the training of the neural network and makes them faster. The selection of useful patterns from the fruit features results in better accuracy. The number of layers represents the depth of the model. Neural network provides learning to the model. As the dataset contains many features. It is obvious that all features are not relevant to the system. The proposed system learns from these features by identifying the pattern and select the relevant features. This is the most crucial phase of the machine learning to identify the appropriate features to make the system faster and accurate. In this paper, we propose solving fruit surface defect detection using Automated Machine Learning (AML). The outcome is the prediction of the fruit surface defect in terms of probability due to nutrient deficiency 10 30 2019 1901 1909 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1029.109119 https://www.ijeat.org/portfolio-item/a1029109119/ Research Scholar, School of Engineering, RK University, Rajkot & Assistant Professor, Information Technology Cell, Junagadh Agricultural University, Junagadh, Gujarat, India. Deven J. Patel* Nirav Bhatt Associate Professor, School of Engineering, RK University, Rajkot, Gujarat, India Agriculture provides food for human existence, where insects damage the crops. The identification of the insect is a difficult process and subjected to expert opinion. In recent years, researches using deep learning in fields of object detection have been widespread and show accuracy as a result. This study show the comparison of three widely used deep learning meta-architectures (Faster R-CNN, SSD Inception and SSD Mobilenet) as object detection for selected flying insects namely Phyllophaga spp., Helicoverpa armigera and Spodoptera litura. The proposed study is focused on accuracy performance of selected meta-architectures using small dataset of insects. The meta-architecture was tested with same environment for all three architectures and Faster RCNN meta-architecture performs outstanding with an accuracy of 95.33%. 10 30 2019 1910 1914 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1031.109119 https://www.ijeat.org/portfolio-item/a1031109119/ Department of operation machine and tractor park, Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia. Gennady Maslov* Valery Lavrentiev Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia. Valery Tsybulevsky Department of tractors, cars and technical mechanics, Kuban State Agrarian University named after I.T. Trubilin. Elena Yudina Department of operation machine and tractor park, Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia. Vasily Tkachenko Department of operation machine and tractor park, Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia. The article proposes a mathematical model and an algorithm for optimizing the parameters developed by the authors of a multifunctional tillage unit based on a spring harrow with simultaneous application of solid mineral fertilizers. Using the optimization criterion, the minimum reduced costs for the implementation of the technological process of soil harrowing with the introduction of mineral fertilizers by the proposed multifunctional unit, its parameters and operation mode are substantiated. The principal distinguishing features of the working body of the spring harrow are described in accordance with the RF patent for utility model. 10 30 2019 1915 1918 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1054.109119 https://www.ijeat.org/portfolio-item/a1054109119/ CURIN, Chitkara University, Rajpura,Punjab,India. Mohd. Junedul Haque* Rakesh Ahuja* CURIN, Chitkara University, Rajpura,Punjab,India. Sachin Ahuja CURIN, Chitkara University, Rajpura,Punjab,India. We can partition the background from foreground and locate the objects of interest using image segmentation techniques. In other words we can say image segmentation is the process of grouping adjacent pixels in to segments. In this research we proposed a model which can differentiate maximum and minimum frequencies for both color and grayscale images without any information loss. After getting the result of both images, we will check which (gray scale image or color image) gives better performance to the image segmentation techniques. So, here we will take the two techniques edge detection and threshold. This research gives better result of segmentation by using the relationship discontinuous and similar pixel values. 10 30 2019 1919 1923 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1059.109119 https://www.ijeat.org/portfolio-item/a1059109119/ M.Tech, Motilal Nehru National Institute of Technology Allahabad (up) India. Brijesh Pandey* Dr. Sudhir Singh Soam PhD, Dr. A.P.J. Abdul Kalam Technical University, Lucknow, (Uttar Pradesh) India. Dr. D. K. Yadav PhD, Indian Institutes of Technology, Allahabad (Uttar Pradesh) India. Predicting application performance concerning the parameters such as processor, network, memory, and disk needs to be analyzed and the model is to be built up for various non-functional requirements in cloud computing. The NFR include availability, portability, security, reliability, etc. Cloud computing provides a way for provisioning of resources in one of the three ways. The first could be cloud infrastructure, the second could be provider infrastructure or the third could be a combination of both. Specifying NFR and ascertaining the required resources requires a lot of knowledge and therefore the various models are built up in this context. To exploit the cloud computing domain software engineer's needs to quantify various requirements of the application and based on that framework needs to be designed and developed for controlling cloud services at the multiple levels of abstraction. In this paper, we will analyze models evaluating various NFR affecting the efficacy of application in a cloud computing domain. The model could be both working for static as well as dynamic implementation. 10 30 2019 1924 1930 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1061.109119 https://www.ijeat.org/portfolio-item/a1061109119/ pursuing her Doctoral degree in Research Management from Bina Nusantara University, Jakarta, Indonesia. Yunita Wijaya Handranata Dewi Information Systems at Bina Nusantara University, Jakarta, Indonesia Kunti Murbarani Bachelor degree in Business Management from Bina Nusantara University, Jakarta, Indonesia This paper investigates the factors that influence purchasing behavior of organic food in Indonesia. Data were obtained by distributing questionnaires in April-June 2018 to 106 consumers who had bought organic food in the past. Data was analyzed using Structural Equation Modeling (SEM). This study examines the factors that influence the actual buying behavior of organic food products such as health awareness, knowledge of organic food, subjective norms, perceived price and availability. In addition, attitude towards organic food and purchase intention was also tested as a medium for these five factors to influence actual buying behavior. Socio-demographic factors were also tested to determine their influence. The results showed that health consciousness and availability affected people's behavior towards organic food. This behavior is then proven to affect purchase intention which also affects actual buying behavior. With this research, it is expected to be able to explore the interest of Indonesian people to improve health and help marketers of organic food. 10 30 2019 1931 1938 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1070.109119 https://www.ijeat.org/portfolio-item/a1070109119/ Department of Elect & Comm Engineering Veltech Rangarajan Dr.Sagunthala R&D Inst. of science & Technology, Tamilnadu, India. V. Nandan R. Gowri Shankar Rao Associate Professor Department of Physics, Veltech Rangarajan Dr. Sagunthala R&D Inst. of science & Technology, Tamilnadu, India. With a massive growth in net communications, there is always a chance of risk to keep the data secret, reliability of data, additionally accessibility of data. An outcome for this is gift cryptographic methodologies which includes the superior Encryption trendy (AES), which might be at gift shield such information, are necessitated to be quick and well protected. In this report, we talk two novel techniques for adapting the foresaid trouble and it is being made potentially through enhancing the design of mix column manipulation of Advance Encryption Standard (AES). An improvement of 1.27 occasions transformed into completed in evaluation to earlier calculations in expressions of pace proficiency [1][2]. As far as hardware structural layout, a space discount of almost thrice change is additionally achieved. AES has input data blocks of 128 bits, with keys length of 128,192 or 256 bits. In this manuscript, a hardware representation of AES algorithm is described using key of length 128 bits. The AES hardware set up is realized using xilinx nexys 4 artix 7 –FPGA board with the help of xilinx ISE design suite. Our work focuses on MAES, a low power AES encryption algorithm which run over the interest [5]. In MAES, a S-Box of one dimension is suggested using new mathematical expression for creating a (n×n) matrix in affine transformation. The percentage efficiency of 18.35% is obtained by MAES than AES, when encrypted packets are transmitted. Thus MAES expends low power compared to that of AES, which is suitable for resource constraint environments. 10 30 2019 1939 1944 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1082.109119 https://www.ijeat.org/portfolio-item/a1082109119/ Computer Applications, Integral University, Lucknow, India, Sandeep Kumar Nayak Nagendra Kumar Singh Computer Applications, Integral University, Lucknow, India, In this digital age, semantic Web services have emerged as services that are used in every field. Today various types of services like e-commerce, social networking, and online payment of various services, etc., are used by the user through the Semantic Web. The Semantic Web has emerged as a powerful medium for using online services. The use of semantic Web services greatly simplified the life of the common citizen. The database is used to hoard information related to various services provided by Semantic Web Services. It turns out to be indispensable that when a user communicates with the database then there should not be any interference in it. The expansion of semantic Web services led various assailants to start making various efforts to stop these services. The network assail for instance Man-in-middle or DoS assail has adverse effect on the performance of the Web service. This paper insinuates a principle server of ARP algorithm that uses IP-MAC trussing approach on the network to prevent Man-in-the-middle and DoS assail within a entreaty succumbed to the Web service. Aftermath revelations that after implementing the algorithms, the number of packet loss reduces drastically and enhancing the overall performance of Web service. The staple objective of this paper is how the services bestowed by the Web service can be protected from assailant. 10 30 2019 1945 1950 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9341.109119 https://www.ijeat.org/portfolio-item/a9341109119/ Assistant Professor, UIET, MDU, Rohtak. Isha Verma Dr. S. Setia Professor, Earthquake Engineering, Structural Dynamics NIT Kurukshetra In Recent Years Researchers Have Shown High Interest In Application Of Steel Plate Shear Walls For Construction Of Commercial And Residential Buildings Due To Its Better Seismic Behavioral Properties. Due To Certain Architectural Requirements It Becomes Imperative To Induce Openings Which Compromise With The Load Resisting Behavior Of Building Structures. This Research Investigates The Effect Of Opening On Spsw Using Techniques Of Fea (Finite Element Analysis). The Opening Types Used In Analysis Are Circular And Rectangular Shape. The Cad Model Is Developed In Design Modeler And Analysis Is Conducted In Static Structural Platform Of Ansys Workbench. The Stresses, Deformation And Buckling Loads Are Determined From Simulation. 10 30 2019 1951 1954 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9519.109119 https://www.ijeat.org/portfolio-item/a9519109119/ Post Graduate student at department of civil engineering, SRM University, Chennai, India Mounika Kethireddy Srija Juluru Assistant Professor at department of Civil Engineering, AVIT, Chennai, India. The composite structural element under study is a carbon fiber wrapped, steel I section reinforced concrete column. The wrapped CFRP is under tension and reinforced concrete under radial compression. The aim of the research is to determine the behavior of the composite structural element under axial loads. The Stress-strain characteristics and load bearing capacity of control and CFRP wrapped tubular columns were determined experimentally. Further, Finite element analysis of steel, reinforced concrete and CFRP wrapped concrete columns sections, was conducted using ANSYS Workbench 15.0 software. The experimental and analytical results were compared. 10 30 2019 1955 1958 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9522.109119 https://www.ijeat.org/portfolio-item/a9522109119/ Department of Electrical Engineering Universitas Negeri Padang, Sumatera Barat Indonesia. Krismadinata This paper discusses the performance analysis the characteristics of three-phase controlled rectifier parameters based on various switching angles. The phase delay method with various switching angles is employed to generate output voltage. Analysis of calculations is engaged to determine the various desired parameters. Voltage and current waveforms both input and output side are considered. The analysis are verified by simultion. The results show that the calculation results and simulation results are the similarly. 10 30 2019 1959 1965 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9524.109119 https://www.ijeat.org/portfolio-item/a9524109119/ Amity Institute of Information Technology, Amity University Uttar Pradesh, Lucknow Campus, Lucknow(India) Sana Jafar* Ranjana Rajnish Amity Institute of Information Technology, Amity University Uttar Pradesh, Lucknow Campus, Lucknow(India), Pankaj Kumar Department of Computer Science and Engineering, Sri Ram Swaroop College of Engineering and Management, Lucknow, India. In the world of ever increasing parallelism, the problem of deadlock-free concurrency control is inevitable. As the number of processing cores is increasing, the number of processing threads is also increasing, and with this increase in the number of processing threads, there is a good chance of problems arising due to lack of proper concurrency control. The application areas under the domain of advanced graphics, cryptography, deep learning, embedded system programming, artificial intelligence and networking are prone to the problems of heavy uncontrolled concurrency of threads. This paper presents a novel Software Transactional Memory (STM) based optimistic concurrency control technique that is deadlock free for threads accessing the in-memory data structure for the purpose of reading as well as writing. The technique is lock free and is based upon timestamping. Threads involved in the proposed approach possess the transactional properties of atomicity, concurrency and isolation. Durability is not expected as the threads are working on an in-memory data source. The approach involves lazy conflict detection that ensures minimum aborts and restarts as well as maximum concurrency among transactions. Being lock free, the algorithm is better than the existing lock-based techniques. The technique is tested on Sniper-6.1 multi core simulator simulating 64 CPU cores and running 16, 32, 40 and 50 threads in our case. The results show significant improvement in throughput with the increasing number of threads over the existing lock-based techniques as well as other STM techniques based on optimistic concurrency control. 10 30 2019 1966 1972 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9525.109119 https://www.ijeat.org/portfolio-item/a9525109119/ Amity Institute of Information Technology, Amity University Uttar Pradesh, Lucknow Campus, Lucknow(India), Sana Jafar* Ranjana Rajnish Amity Institute of Information Technology, Amity University Uttar Pradesh, Lucknow Campus, Lucknow(India), Pankaj Kumar Department of Computer Science and Engineering, Sri Ram Swaroop College of Engineering and Management, Lucknow, India. Large in-memory data structures have a significant application in the fields of graphics, gaming, military and all the possible areas where Big Data can be employed. Their fame in the area of science and technology is attributable to fast in-memory access by the processor as compared to on-disk data structures. These enormous data structures can be accessed still fast and efficiently through parallel computing. For employing highly parallel computations, equally parallel algorithms are required. One of the most desirable attributes of such algorithms is their ability to control concurrency and avoid any deadlocks while being time and energy efficient. This paper presents a multi-version optimistic concurrency control algorithm based on timestamping. This algorithm is lock free and is tested on 64 simulated CPU cores on a multi core simulator. The algorithm is a Software Transactional Memory approach employing 16, 32, 40 and 50 threads in different tests running on the simulator. Half of the threads are doing reading and half are doing writing operation in each case while accessing an in-memory dynamic array. Being lock free and employing lazy timestamp calculations, this approach is better than other existing concurrency control approaches. 10 30 2019 1973 1979 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9526.109119 https://www.ijeat.org/portfolio-item/a9526109119/ Professor and Head, Dept of E&TC Engineering in Smt Kashibai Navale College of Enginering, Pune Dr.Sonal.K. Jagtap Himali Babanrao Ghorpade Assistant Professor in Smt Kashibai Navale college of Engineering, Pune Kanchan Laxman Dombale Department of Electronics and Telecommunication Engineering Smt Kashibai Navale college of Engineering, Pune In recent technologies there are various applications which include a camera joined to a moving platform, for example, cars, drones and Unmanned Aerial Vehicles (UAV). The moving platform may suffer from vibrations which may cause unwanted motion in recordings that can cause degradation of performance in various applications like surveillance, tracking and detection of object. Stabilization of video in various applications is an emerging research area nowadays. To remove the unwanted motion from video, the stabilization is necessary to preserve the important content present in the video. In this paper the feature points from recorded videos are detected and then these feature points are extracted and matched. The obtained feature points are smoothed by K means clustering, a mesh grid on every video frame is set up and every grid is warped by matching and comparing the features points, from original video frame with the smoothed and stabilized feature points. The reduced distortions in the video are estimated from various parameters. The efficiency of algorithm is compared in which the robust video stabilization algorithm based on feature extraction and mesh grid warping obtains better improvement in Inter-frame Transform Fidelity (ITF) factor than the traditional video stabilization algorithm. 10 30 2019 1980 1984 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9527.109119 https://www.ijeat.org/portfolio-item/a9527109119/ Research Scholar, Department, of Mechanical Engineering Government college of Engineering Karad, Shivaji University, India. Sanjay V. Kadam Dr. Suhas S. Mohite professor, Department, of Mechanical Engineering Government college of Engineering Karad, Shivaji University, India. Vishal S Kumbhar Rajarambapu Institute of Technology Islampur Shivaji University India. The current tentative work proposes the convective heat transfer enhancement by means of using low concentrations MgO-Water nanofluid flowing via tube. Nanofluid is the rising heat transfer fluids which consists solid nano-sized particles suspended in base fluid. Total three volume concentrations (0.005%, 0.01%, and 0.05%) and four unique sizes of nano particle (7 nm, 40nm, 60 nm, 100nm) are used to prepare nanofluid with distilled water. There are different correlations available to find nano fluid properties but they are not applicable as these are dependent on number of parameter like base fluid properties, particle size, shape and concentration of nano particle in a base fluid. Therefore actual measurements of different properties are carried out. Experimental investigation is executed for different Reynolds no, particle concentration and different size of nano particle. It is experimental that average heat transfer augmentation of 44.73% is obtained for 0.05% volume concentration (40 nm size) as compared to distilled water. It is found that there is augmentation of heat transfer with amplifying in particle concentration and reducing in size of nano particles. The typical improvement in Nusselt number for particle sizes of 7 nm, 40 nm, 60 and 100nm are found to be 37.76%, 36.53%, 35.15% and 32.26% respectively as compared to distilled water. It is found that as volume concentration increases and size of nanoparticle decreases there is augmentation of heat transfer. 10 30 2019 1985 1990 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9528.109119 https://www.ijeat.org/portfolio-item/a9528109119/ University of Petroleum & Energy Studies, Dehardun, Uttarakhand, India Hitesh Kumar Sharma Ishu Khanchi University of Petroleum & Energy Studies, Dehardun, Uttarakhand, India Nihal Agarwal University of Petroleum & Energy Studies, Dehardun, Uttarakhand, India Pawas Seth University of Petroleum & Energy Studies, Dehardun, Uttarakhand, India Prashant Ahlawat University of Petroleum & Energy Studies, Dehardun, Uttarakhand, India With the size of the enterprise network is growing, more and more computer terminals, internal information leakage and security threats emerging security incidents and daily management to bring a lot of pressure. Business users need a tracking system to address these security issues.A technique and framework for checking and following the exercises of a client of a PC. Affiliations are set up between the conditions of certain PC framework parameters and explicit exercises. The present movement of the client is then definite by the framework dependent on the present condition of the PC framework. As the condition of the PC framework changes, changes in the client's action are checked and followed. The exercises are followed related to time in order to record the time spent on every movement.Through this project we are developing the understanding of the working and the basics of the Linux operating system. We are analysing the need of monitoring the system and solving the issues related to security, unauthorised access and other threats. Through this tool we are trying to address these issues. 10 30 2019 1991 1994 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9529.109119 https://www.ijeat.org/portfolio-item/a9529109119/ Civil Engineering Department, Mar Baselios Christian College of Engineering and Technology-Peermade, Idukki, India. Abhijith L Joel Joy Civil Engineering Department, Mar Baselios Christian College of Engineering and Technology-Peermade, Idukki, India. Gopu S Nair Civil Engineering Department, Mar Baselios Christian College of Engineering and Technology-Peermade, Idukki, India. One of the factors that affect the long term performance of a structure is the strength of the underlying soil strata. Presence of weak soil strata beneath the structure will affect the structural integrity. So, enhancing the engineering properties of the weak soil results in the betterment of bearing capacity of the soil. Nowadays, for improving the stability of the weak soil, various soil stabilization techniques are adopted. This paper presents an investigation of using alccofine as a soil stabilizing agent. Variation in shear strength parameters and compaction parameters of the soil is studied by adding different percentages of alccofine 1101 such as 1%, 2%, 3%, 4%, and 5%. Test results revealed that at the optimal rate of alccofine 1101, the shear strength characteristic is increased by 53.71% after a curing period of 3 days. 10 30 2019 1995 1999 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9530.109119 https://www.ijeat.org/portfolio-item/a9530109119/ Electrical Engineering Department, Government college of Engineering, Amravati, India. R.B. Sharma Series compensators are implemented in power system to overcome the power quality issues like voltage dip (sag) and voltage swell. Series compensators such as Dynamic Voltage Restorer have demonstrated their effectiveness in enhancement of power quality. The control techniques for these devices underwent the progressive changes as per industry needs. Control techniques can be majorly classified as frequency domain (s-domain) and time-domain techniques. In the time-domain algorithm reference signal generation is important step for successful implementation of algorithm. In this paper the two reference generation methods namely Synchronous Reference Frame (SRF) method and Unit Vector template (UVT) method are analyzed and compared for their suitability considerations. 10 30 2019 2000 2004 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9535.109119 https://www.ijeat.org/portfolio-item/a9535109119/ Department of Mechanical Engineering, Centurion University, Odisha, India. Dillip Kumar Mohanta Abhinav Department of Mechanical Engineering, Alliance University Bangalore, India. Ardhendu Mouli Mohanty Department of Mechanical Engineering, Centurion University, Odisha, India. Two-dimensional models namely homogeneous, uniformly distributed grains and non-uniformly distributed grains were developed for AISI S-7 steel grade metal, to investigate the effect of the grains size and orientation on the chip morphology and temperature rise during the orthogonal machining process. A Johnson-Cook model was used for the simulation study. The machining was done at a medium speed of 60 ms-1 and the depth of cut was maintained at 5 mm in all the above cases. Compared to other models, results showed that nonuniformly distributed grains develop alternate low and high shear bands and generate maximum temperature in the high shear band zone, which was found to be detrimental during the machining process compared to other models. Intergranular chip segmentation was observed in the case of uniformly distributed grains. For the same material, three different chip morphologies and temperature profiles were observed during the orthogonal machining process. Detailed discussion on the mechanics of machining of the above-said models was done that may be advantageous for material and tool design scientist. 10 30 2019 2005 2008 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9536.109119 https://www.ijeat.org/portfolio-item/a9536109119/ Assistant Professor, Department of Computer Science, Delhi University India. Geetika Vashisht* Manisha Jaillia Assistant Professor, Department of Computer Science, Delhi University India. Sentiment analysis (SA) is a rapidly evolving field that aims at computationally categorizing the opinions of people about a particular product, movie, brand or anything that can be opined. It has changed the way the information is perceived and utilized by big business groups, brands and marketing agencies by demonstrating that the computational recognition of a sentimental expression is feasible. The fruition of Internet based applications has generated huge amount of personalized views on the Web. These reviews exist in different forms like social Medias, blogs, Wiki or forum websites. The boom of search engines like Yahoo and Google has flooded users with copious amount of relevant reviews about specific destinations, which is still beyond human comprehension. Sentiment Analysis poses as a powerful tool for users to extract the needful information, as well as to aggregate the collective sentiments of the reviews. This research will explore and compare the various techniques used for Sentiment Analysis in the last decade. 10 30 2019 2009 2016 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9537.109119 https://www.ijeat.org/portfolio-item/a9537109119/ Electrical & Electronics Engineering Department, Sharda University, Greater Noida, India. Premananda Pany* Hybridization of Different electrical sources helps to enhance the overall performance of electric vehicles. Due to the advantages of hybridization of power sources, in this work three energy sources such as Fuel cell (FC), Battery and solar have been considered to supply power adequately to electric vehicles. This paper focuses on power management of these three energy sources during vehicle driving. Because of their different characteristic, power sharing at different time and condition is different and the proposed control strategy demonstrates the active power sharing of the three energy sources. The feasibility of the proposed system is verified through computer simulation using matlab/simulink software. The demonstration of simulation results shows the performance of electric drive system is more satisfactory over the entire drive operation, fulfilling the power management rules and load requirement. 10 30 2019 2017 2020 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9539.109119 https://www.ijeat.org/portfolio-item/a9539109119/ Mechanical Engineering Dept, Delhi Technological University, Delhi, India. Sanjay Sundriyal Vipin Mechanical Engineering Dept, Delhi Technological University, Delhi, India. *Ravinder Singh Walia Mechanical Engineering Dept, Delhi Technological University, Delhi, India. Electric discharge machining (EDM) is a non conventional machining method to fabricate very tough and hard materials. Although EDM has played a vital role in machining industry but with advancement of technology, alternative advanced methods of machining have been evolved such as near dry EDM (ND-EDM) and powder mixed near dry EDM (PMND-EDM). These technologies have been proven more efficient than traditional EDM in terms of machining performance characteristics such as higher material removal rate (MRR), better surface finish (Ra) and low tool wear rate (TWR) with high tolerance quality products. In this study an approach has been made to draw experimental comparison between ND-EDM and PMND-EDM in terms of MRR, SR and TWR. The experimental result and analysis revealed that PMND-EDM was better machining method than ND-EDM as in the former technique, the M RR increased by 45.04 % while SR and TWR reduced by 45.33 % and 60.60% respectively. 10 30 2019 2021 2025 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9542.109119 https://www.ijeat.org/portfolio-item/a9542109119/ Department of Computer Science, Bishop Heber College , Tiruchirapalli, India. R.Cynthia Monica Priya Dr.J.G.R. Sathiaseelan Department of Computer Science, Bishop Heber College , Tiruchirapalli, India The present digital world generates enormous amount of data instantaneously. The need to effectively mine knowledge seems to be the need of the hour. Sentiment Analysis, a part of web content mining which is a subpart of web mining has gained momentum in the field of research. It analyses the opinion of variety of people all over the world. Sentiment Analysis encompasses preprocessing, feature selection, classification and sentiment prediction. Preprocessing is an important process and it deals with many techniques. Stop word removal, punctuation removal, conversion of numbers to number names are some of the basic techniques. Stemming is yet another important preprocessing technique that reduces the different words form to its root. There are basically three types of stemmers namely truncating, statistical and hybrid. The aim of this paper is to propose a rule based stemmer that is a truncating stemmer. It deals with rules for truncation and replacement. The data given as input passes through a series of rules. If the condition specified gets satisfied then the associated rule gets executed otherwise the input is checked with the next rule and the process continues further. The result of execution is stemmed words. The performance of the proposed rule based stemmer is compared with the existing stemmers under the same rule based category namely Porter and Lancaster. Various metrics have been used for evaluation. The observations reveal the fact that the proposed stemmer out performs the Porter and Lancaster stemmers in terms of correctly stemmed words factor and shows a good average conflation factor and lesser over stemming and under stemming errors. 10 30 2019 2026 2029 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9545.109119 https://www.ijeat.org/portfolio-item/a9545109119/ Ph. D. Research Scholar, JJTU, Jhunjhunu, Rajasthan, 333001,India Mr. Rahul Khalate Dr.Vineeta Basotia Assistant Professor, Department of Mathematics, JJTU University, Rajasthan Dr.Dilip.B. Ghule Assistant Professor, Department of Mathematics, ESD College Varvand, SPPU University, Pune The goal of applied mathematics is to develop and implement the automated systems, services and support to execute engineering goals. Game theory is always a domain of choice for development of strategy to enhance the usability of mathematical applications. Today, there is rarely any system which works without keeping mathematics behind the curtain. A recent trend in medical imaging leads via mathematical algorithmic development for brain tumor analysis. The deep learning technology is a mathematical strategic solution to identify the brain tumor from medical resonance imaging. The game theory strategic development is necessary for mathematical modeling of image technologies as pixel level calculations are required. Hence, this paper shows the newly developed mathematical modeling for efficient brain tumor detection using game theory and set theory. This paper also suggests the new algorithm which is ported from mathematical modeling for deep learning brain tumor image processing. 10 30 2019 2030 2032 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9549.109119 https://www.ijeat.org/portfolio-item/a9549109119/ Assistant Professor, Department of Computer Science, SRM Trichy Arts & Science College, Trichy. S. Padmapriya S. Murugan Associate Professor, Department of Computer Science, Nehru Memorial College, Puthanampatti. Most recent discoveries in Autism Spectrum Disorder (ASD) detection and classification studies reveal that there is a substantial relationship between Autism disorders and gene sequences. This work is indented to classify the autism spectrum disorder groups and sub-groups based on the gene sequences. The gene sequences are large data and perplexed for handling with conventional data mining or classification procedures. The Consecrate Recurrent Neural Network Classifier for Autism Classification (CRNNC-AC) work is introduced in this work to classify autism disorders using gene sequence data. A dedicated Elman [1] type Recurrent Neural Network (RNN) is introduced along with a legacy Long Short-Term Memory (LSTM) [2] in this classifier. The LSTM model is contrived to achieve memory optimization to eliminate memory overflows without affecting the classification accuracy. The classification quality metrics [3] such as Accuracy, Sensitivity, Specificity and F1-Score are concerned for optimization. The processing time of the proposed method is also measured to evaluate the pertinency. 10 30 2019 2033 2041 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9550.109119 https://www.ijeat.org/portfolio-item/a9550109119/ Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India. Dipak Bange Abhishek Gaikwad Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India. Tejas Gajare* Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India Aditya Khadse Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India. Dr. Swati V. Shinde Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India. Photography used to be a hobby that required equipment such as a professional camera. Today, photography has evolved to be a daily activity conducted on an unprecedented scale due to the adoption of camera into smartphones. Mobile phone cameras are on the way to completely replace other forms of camera due to their portability and quality. Millions of images are captured on mobile devices across the globe. These images are clear and crisp. But all these images are captured in daylight. Images taken in low illumination essentially turn out to be too dark to be comprehensible. Research shows that current solutions to this problem work for dim to moderate light level but fail in extreme low light. There are certain problems involved with these techniques. Firstly, image denoising relies on image priors limiting the situations on what it will work on. Other deep learning techniques work on synthetic data and cannot be proficient on real data. Secondly, Low light image enhancement assumes that images already contain a good representation of scene content. This paper proposes to capture low illumination images and transform them to high quality images using end to end fully convolutional neural network trained on our data set of raw images shot in low aperture and their corresponding high aperture raw images. As an outcome, we will be able to transform images to high quality and identify objects. 10 30 2019 2042 2047 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9557.109119 https://www.ijeat.org/portfolio-item/a9557109119/ Department of Construction Engineering , Jadavpur University,Kolkata, India. Arnab Mondal Kushal Ghosh Department of Civil Engineering, National Institute of Technology,Sikkim,India. Partha Ghosh Department of Construction Engineering , Jadavpur University,Kolkata, India. This experimental study has been carried out to investigate the behavior of ordinary cement mortars and mortars containing ternary mixtures of supplementary cementitious materials(SCM’s) like Ground Granulated Blast Furnace Slag(GGBS), Alccofine along with cement,when subjected to exposure in magnesium sulphate and sulphuric acid solution. Mixes were prepared by replacing OPC with 30% and 50% by GGBS along with 5%,10% and 15% by Alccofine as additives . Compressive strength test were performed on different samples to observe SCMs behavior in different exposure conditions (acid and sulphate )after 56 days. Microstructure studies using scanning electron microscopy(SEM) and electron dispersive X-ray(EDX) analysis were performed on samples after different exposure conditions. 10 30 2019 2048 2055 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9562.109119 https://www.ijeat.org/portfolio-item/a9562109119/ Research-Scholar, Bharath University, Chennai, Tamil Nadu, India RR Karthikeyan Dr. B Raghu Principal, SVS Groups of Institutions, Warangal, Telangana, India Sensors are gadgets, which can screen temperature, moistness, weight, commotion levels, setting mindfulness, lighting condition and identify speed, position, and size of an Object. Sensor information are getting accumulated in gigantic amount thus they are overseen utilizing NOSQL. The information will be gathered in an IOT cloud stage where it will be additionally prepared with machine learning methods for prescient examination. What's more, eventually with the required answer for the business structure will be created. This paper explain the proposed system for IoT data collection with AWS (Amazon Web Service) cloud platform. Various system components like Kinesis stream, M2M platform, Notification service and secured IoT service layout. The complete BMS system architecture is detailed in this paper. 10 30 2019 2056 2060 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9564.109119 https://www.ijeat.org/portfolio-item/a9564109119/ Department of ECE, BIET, Jhansi, India Savita Srivastava Atul Kumar Dwivedi Department of ECE, BIET, Jhansi, India. Deepak Nagaria Department of ECE, BIET, Jhansi, India. In this work, optimal sparse linear phase Finite impulse response filters are designed using swarm intelligence-based Firefly optimization algorithm. Filters are designed to meet the desired specification with fixed and variable sparsity. The objective function is formulated consisting of three parameters, i. e., maximum passband ripple, maximum stopband ripple and stopband attenuation. The effectiveness of the proposed method is evaluated in two stages. In first stage, the designed filters have been compared with non- sparse in terms of deviation in their specification. The Comparative analysis depicts that the proposed approach of sparse linear phase FIR filter design method performs better than the conventional methods without significantly deviating from the desired specification. The proposed designed filter is then implemented on xilinx ISE14.7(Vertex7) design environment and their performance is compared in terms of time delay, resource utilizaion and frequency of operation. In the second stage, designed sparse FIR filters are compared with earlier state of art sparse FIR filters design techniques. 10 30 2019 2061 2066 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9568.109119 https://www.ijeat.org/portfolio-item/a9568109119/ UG Student, Department of Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad-500090, Telangana, India Lakshmi Deepak Tadepalli Mr K. Sunil Kumar Reddy Associate Professor, Department of Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad-500090, Telangana, India Dr. Ram. Subbiah Associate Professor, Department of Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad-500090, Telangana, India Lifting of various light and heavy objects is the tedious work done by many of the people on many occasions. Manpower is utilized in many areas where heavy materials are to be handled. Nowadays, this lifting of loads for hours together has become very common in every person’s life whether it may be bag or cup of coffee or books, laptop, tools which he works throughout the day, etc. At industries, heavy materials are to be machined and be loaded into the machinery, this requires a person to transfer uneven raw materials up to the cutting or crushing machines. With the EXO-SKELETON, a person can work freely by wearing it on his body and can lift heavy loads as easy without difficulty. The main objective here is to make a person to go through less strain while lifting heavyweights. This can be successfully used in production lines, weight transferring areas, military purposes, even in the medical field where when a person is unable to move his limbs, he can wear and easily can move his body parts. The main raw material used is Mild Steel as it is easily available and cheap. The movement occurs through the air compressor and pneumatic cylinders. The 3-D Modelling of the whole is done in Solidworks 2016 and the analysis of the parts was done in Ansys 18.1 workbench software. 10 30 2019 2067 2073 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9569.109119 https://www.ijeat.org/portfolio-item/a9569109119/ PG Student, Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India A. Arun K.Ramya Sree Assistant Professor, Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India Dr. Ram Subbiah Associate Professor, Mechanical Engg/ Chemistry Dept, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India Dr.J. Saranya Associate Professor, Mechanical Engg/ Chemistry Dept, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India Dr.N. Sateesh Professor, Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India In this paper, wear are common problems encountered in the piston. Thermal spray coatings re one of numerous methods for alteration of part's surface properties. The innovation relies upon the standard of dissolving and speeding of fine particles and their quick cementing delayed consequence on the substrate. Among every one of the strategies of thermal spray coatings, High-Velocity Oxy-Fuel and Plasma spray procedure is broadly utilized in different applications. In this research, chemical powder with explicit properties against wear was chosen, and it was showered with high velocity oxygen fuel (HVOF) and plasma spray strategies onto Aluminium 2014 alloy substrates. Both the coatings have same binder with equivalent rate. The coatings were portrayals were done with the help of Scanning Electron Microscope, X-ray Diffractometer, and Pin-on-disc wear testing machine. A pin on disc machine was used to analyse the wear behaviour by applying 10N and 20N loads. 10 30 2019 2074 2077 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9572.109119 https://www.ijeat.org/portfolio-item/a9572109119/ PG & UG Student, Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India Md. Rahel Lakshmi Deepak Tadepalli PG & UG Student, Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India M. Balubai Assistant Professor, Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India K.Sunil Kumar Reddy Associate Professor, Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India Dr.Ram Subbiah Associate Professor, Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India An Experimental analysis was undertaken to analyze the changes in the Mechanical Properties and Microstructure of P91 steel, subjected to Normalizing and Carburizing heat treatment Processes keeping in mind the potential capabilities of P91 steel as the base metal due to its wide applications in Boilers manufacturing. P91 is a type of alloy steels having high hardness and wear resistance suface. The heat treatment processes were carried out in the present experimental procedure at constant temperature and for different timings like 60 minutes, 90 minutes and 120 minutes. Hardness of the specimen was tested by using Rockwell Hardness test. A pin on disc machine was used to conduct the wear test. Wear test was carried out on treated P91 steel on various parameters like variable load and constant speed. The Microstructural results are concluded with SEM (Scanning Electron Microscope) and XRD (X-Ray diffraction) techniques. 10 30 2019 2078 2982 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9573.109119 https://www.ijeat.org/portfolio-item/a9573109119/ College of Engineering, Universiti TenagaNasional, 43000 Kajang, Selangor, Malaysia.Institute of Energy Infrastructures (IEI),Universiti TenagaNasional, 43000 Kajang, Selangor, Malaysia Shuhairy Norhisham Muhammad Fadhlullah Abu Bakar College of Engineering, Universiti TenagaNasional, 43000 Kajang, Selangor, Malaysia Amirul Hakim Huri College of Engineering, Universiti TenagaNasional, 43000 Kajang, Selangor, Malaysia AniMunirah Mohammad College of Engineering, Universiti TenagaNasional, 43000 Kajang, Selangor, Malaysia Nor Hazwani Nor Khalid College of Engineering, Universiti TenagaNasional, 43000 Kajang, Selangor, Malaysia Hidayah Basri College of Engineering, Universiti TenagaNasional, 43000 Kajang, Selangor, Malaysia Nurul Hani Mardi College of Engineering, Universiti TenagaNasional, 43000 Kajang, Selangor, Malaysia Nur’atiah Zaini College of Engineering, Universiti TenagaNasional, 43000 Kajang, Selangor, Malaysia Nowadays, Malaysia is facing real problem on traffic issues such as traffic congestion, deficiency of land for parking space and increasing vehicle volume. Cycling is one of alternative approach of transportation to overcome traffic issues. This objective of this study is to forecast the travel demand using E-bike in University and comparison of carbon footprint reduces between E-bikes and motorize vehicle. UNITEN has launched a program called Electric Palled-Assisted Biked (EPAB) as topromotes the usage of E-Bikes as their main mode of transportation in UNITEN Putrajaya campus. All the travellingdata have been recording using Application Strava. The CO2 emission and fuel cost for those particular tripshave also addressed in these studies.The result found that 107.27 daily trips were generated by E-bikes in UNITEN Putrajaya campus. The study also found that 88 percent of CO2emission is reduced when substituting car with E-bikes. An astonishing 560.918kg of CO2 was prevented from releasing to the atmosphere. Cycling has been proven as one of alternative option in developed countries to reduce the vehicle volume on the road. Further studies on these topic is highly recommend by increasing the number of participant in future. 10 30 2019 2083 2088 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2667.109119 https://www.ijeat.org/portfolio-item/a2667109119/ Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia Meiryani Nofra Mega Islami Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia Sergey N. Kashurnikov Department of Economics, Financial University under the Government of the Russioan Federation, Moscow, Russia. This research’s purpose is analyzing influence of the company’s size, the use of information technology and top management’s support to the accounting information system’s performance. The sampling technic that was used was random sampling. The sampling research involved 88 employees that use computerized accounting information system. Data was collected through questionnaire. Data analysis technics that were used were realiability and validity test, normality test, multicollinearity test, heteroscedasticity test. The research’s results : 1) There was no significant influence from the company’s size toward the accounting information system’s performance, 2) There was no significant influence from involvement of information system users towards the accounting information system’s performance, 3) There was significant influence from management’s support towards accounting information system’s performance, 4) There was positive and significant influence from the company’s size, involvement of users and the top management’s support to the accounting information system simultaneously. 10 30 2019 2089 2096 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9652.109119 https://www.ijeat.org/portfolio-item/a9652109119/ Assistant Professor Dept. of ECE, Kalyani Govt. Engineering College , Kalyani , West Bengal Hasanujjaman* Arnab Banerjee Dept. of ECE, Kalyani Govt. Engineering College , Kalyani , West Bengal. Prof. U Biswas University of Kalyani , West Bengal Prof. M K Naskar Jadavpur University , Kolkata Within the domain of image processing the applications of the fractal image compression through the affine transform is rarely implemented. The major drawback it consists is its time consumptions in simulations as well as in hardware implementation. The reason behind this is its comparatively matching the range blocks with the varied number of domain blocks. Additionally, the compression ration obtained from this sets of techniques are much more that the other similar working techniques. In order to overcome, this drawback, here a concept of intensity mismatch searching techniques is intruded within this particular paper. While in the mean time, it only concluded in much reduce in time of searching for similar domain block form a pool. And also this technique does not affect within the compression ratio and PSNR measurement form the retrieved image. Further benefitted in hardware applications where the matters for time consumptions is a major factor. 10 30 2019 2097 2100 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9653.109119 https://www.ijeat.org/portfolio-item/a9653109119/ Department of Electrical Engineering, Faculty of Engineering, Rajamangala University of Technology Lanna, Tak, Thailand. Sawat Yukhalang Load frequency control (LFC) in interconnected power system of small distribution generation (DG) for reliability in distribution system. The main objective is to performance evaluation load frequency control of hybrid for interconnected two-area power systems. The simulation consist of solar farm 10 MW and gasifier plant 300 kW two-area in tie line. This impact LFC can be address as a problem on how to effectively utilize the total tie-line power flow at small DG. To performance evaluation and improve that defect of LFC, the power flow of two-areas LFC system have been carefully studied, such that, the power flow and power stability is partially LFC of small DG of hybrid for interconnected two-areas power systems. Namely, the controller and structural properties of the multi-areas LFC system are similar to the properties of hybrid for interconnected two-area LFC system. Inspired by the above properties, the controller that is propose to design some proportional-integral-derivative (PID) control laws for the two-areas LFC system successfully works out the aforementioned problem. The power system of renewable of solar farm and gasifier plant in interconnected distribution power system of area in tie – line have simulation parameter by PID controller. Simulation results showed that 3 types of the controller have deviation frequency about 0.025 Hz when tie-line load changed 1 MW and large disturbance respectively. From interconnected power system the steady state time respond is 5.2 seconds for non-controller system, 4.3 seconds for automatic voltage regulator (AVR) and 1.4 seconds for under controlled system at 0.01 per unit (p.u.) with PID controller. Therefore, the PID control has the better efficiency non-controller 28 % and AVR 15 %. The result of simulation in research to be interconnected distribution power system substation of area in tie - line control for little generate storage for grid connected at better efficiency and optimization of renewable for hybrid. It can be conclude that this study can use for applying to the distribution power system to increase efficiency and power system stability of area in tie – line. 10 30 2019 2101 2105 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9659.109119 https://www.ijeat.org/portfolio-item/a9659109119/ Assistant Professor, Kongu Engineering College, Perundurai, Erode, Tamilnadu, India. S. Poorani P. Balasubramanie Professor, Kongu Engineering College, Perundurai, Erode, Tamilnadu, India. The Breast cancer is the most life menacing disease among women. Early prophecy assurances the endurance of patients. In this work, first Deep neural network classifiers with different hidden layers with different nodes are used to explore the anthropometric information and blood investigation strictures and to predict the disease. Then machine learning algorithms such as SVM and Decision tree are also trained with the same data. Finally the performance of each classifier was deliberated. The pre-processed data of admitted patients with the breast cancer perception are used to train and test the classifiers. This article shack glow on the concert estimation based on right and erroneous data classification 10 30 2019 2106 2109 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9664.109119 https://www.ijeat.org/portfolio-item/a9664109119/ Department of Industrial Technology, Faculty of Science and Technology Chiang Mai Rajabhat University. Ratanaree Suttipong Athiwat Wangmai Department of Industrial Technology, Faculty of Science and Technology Chiang Mai Rajabhat University. Suwattanarwong Phanphet Department of Industrial Technology, Faculty of Science and Technology Chiang Mai Rajabhat University. Saowaluk Reungsri Department of Industrial Technology, Faculty of Science and Technology Chiang Mai Rajabhat University. Wichai Chattinnawat* Department of Industrial Engineering, Faculty of Engineering, Chiang Mai University. One Tambon One Product (OTOP) is one of the major enabler of Thailand to stimulus local entrepreneurship to support locally made products of Thailand's 7,255 Tambons (sub-district). This OTOP program has been initiated since 2001 and has substantially generate incomes for local entreprenuers. Currently, five groups of OTOP product have been promoted and used by Thai Government to gaurantee the quality of the OTOP product. However this research aims to utilize the nexus model of academia–policy maker and business to develop an approach to derive the product improvement policy to increase business market opportunities for the elderly cosumers in Thailand. This research studies and identified differences of needs among each group of product. This research conducted large systematic focus groups on 1,275 elderly consumer together with expert interview and quantitative analysis to identify the top three groups of OTOP product that need to be strategically emphasized. Four new criterions of Business, Opportunity, Self- Sustainability, and Environment were developed and used as criteria to identify and prioritize the needs of those five OTOP groups. The AHP technique was employed to identify the weights and compare the five major groups with respect to those developed criteria. This results were used for the government to position the OTOP product that meet the need of elderly consumer segment. The results of the analysis lead to strategic action plan for product and process development of northern Thailand OTOP developemt program. This proposed concept helps Thai govenrment to effectively exercise OTOP program policy mobility and evolution. 10 30 2019 2110 2116 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9669.109119 https://www.ijeat.org/portfolio-item/a9669109119/ Department of Mathematics Education and Postgraduate Student of Mathematics Education, Universitas Wijaya Kusuma Surabaya and Universitas Negeri Surabaya, Surabaya, Indonesia. Herfa Maulina Dewi Soewardini Hery Setiyawan The lecturer of Mathematics Education Department Universitas Wijaya Kusuma Surabaya. Suhartono The lecturer of Mathematics Education Department Universitas Wijaya Kusuma Surabaya. Siti Maghfirotun Amin Professor and Head of Postgraduate Doctoral Program of Mathematics Education Department, Universitas Negeri Surabaya, Jawa Timur Indonesia. Member of Organization: Indonesian Mathematics Society (IndoMS). Abdul Talib Bin Bon is Professor of Technology Management. He is a Lecturer at Department of Technology, Fakulti Pengurusan Teknologi dan Perniagaan, Universiti Tun Hussein Onn Malaysia (UTHM), Johor, Malaysia. Students who experience anxiety can influence how these students to think, reason, and do actions to solve problems in mathematics subjects, especially about triangles. The solution used to reduce the level of mathematics anxiety of students is to use an information technology-based learning. The purpose of this study is to describe whether information technology-based learning and communication can reduce mathematics anxiety of grade 7 students. This classroom action research consists of two cycles with the initial stage of setting targets for achieving indicators of research success. The results showed that the average level of anxiety of students classified as high, namely 92, then decreased to 82 in the first and 70 cycles at the end of the second cycle. While the percentage of implementation of information technology-based learning at the end of the first cycle was 80.25% and at the end of the second cycle was 91%. 10 30 2019 2117 2119 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9670.109119 https://www.ijeat.org/portfolio-item/a9670109119/ Department of Information Technology, ABES Engineering College, Abdul Kalam Technical University, Uttar Pradesh, India . Dr.Kanika Gupta Ms. Nandita Goyal Department of Information Technology, ABES Engineering College, Abdul Kalam Technical University, Uttar Pradesh, India This paper presents the advanced fuzzy decision based median filter for removal of impulse noise present in digital images. The digital images are easily gets disturbed by different types of noises and traditional filters are not able to handle all types of noises present in the digital images. The fuzzy approach is adopted to improve the all other traditional median filters to achieve the optimum performance. This can be seen by adjusting the parameters of fuzzy image filter. The two blocks i.e. of original image and noisy image are taken and the third block can be obtained through the product of these two blocks. The final output image which can be seen as a result of taking mean and median of third block. From the point of view of execution time and PSNR ratios, the image filtering results demonstrates the feasibility and effectiveness of the proposed filter. 10 30 2019 2120 2124 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9671.109119 https://www.ijeat.org/portfolio-item/a9671109119/ M.tech Student, School of Mechanical and Civil Engineering, MIT Academy of Engineering Alandi(D), Savitribai Phule Pune University, Pune, India, Nikhil M Gadave Pramod P Kothmire Assistant Professor, School of Mechanical and Civil Engineering, MIT Academy of Engineering Alandi(D), Savitribai pune University, Pune, India A heat exchanger is equipment that transfers heat energy from one fluid stream to another fluid stream across a solid surface by conduction and convection. Heat exchangers are used in air conditioning & refrigeration systems, power plants, automotive industries, chemical processing, waste heat recovery systems, and food industries. Shell & tube heat exchangers are the most widely used heat exchanger. Earlier many types of studies were carried out on baffle of heat exchanger, as the hydraulic performance of shell side of exchanger relies on baffle elements such as changing baffle types, baffle segments, baffle angles, baffle cuts, etc. are introduced. But only a few researches are concentrated on the tube side. In this paper, efforts have been made to design a shell & tube heat exchanger by using the kern method & referring TEMA standards. Also, the fluid flow behavior & heat transfer mechanism of shell & tube heat exchanger with four different cross-sections of the tubes i.e. Circular, Rectangular, Square & Triangular is numerically investigated using ANSYS-fluent. Numerical simulation was carried out for a single tube pass shell & tube heat exchanger with 25% baffle cut. Finally, from the simulation results, suggestions are made for the best geometry which gives the best thermo-hydraulic performance. 10 30 2019 2125 2132 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9672.109119 https://www.ijeat.org/portfolio-item/a9672109119/ Associate Professor, Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta. Dr. Evaristus Didik Madyatmadja Albert Jonathan Susanto Research Assistant, Information Systems Department, School of Information Systems, Bina Nusantara University. Machine Learning is an emerging research field concerned with developing methods to answer uncommon problems. There are many problems that can be answered with Machine Learning method, one of them is on educational scope. Many Educators right now cannot identify whether a certain student is on the brink of failing or not. As a result, many college students failed because the educators cannot help them. In this paper, we present our user-friendly decision support tool made from Machine Learning algorithm and to answer the problem we focus, which is to prevent college student from failing by providing educational agents necessary information and predictions. Our objective is to know which machine learning algorithm that can be used to predict the student’s performance and to create a decision support tool that can be used by educational agents so that educational agents can prevent student from failing the course. 10 30 2019 2133 2136 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9678.109119 https://www.ijeat.org/portfolio-item/a9678109119/ School of Electrical Engineering, Vellore Institute of Technology, Chennai, Tamil nadu, India. Salil Gokhe Umayal. C School of Electrical Engineering, Vellore Institute of Technology, Chennai, Tamil nadu, India. Kanimozhi. G* School of Electrical Engineering, Vellore Institute of Technology, Chennai, Tamil nadu, India. Consumption of energy is progressively rising at a regular rate. To accommodate the demand for electric supply with the exhaustion of typical resources like fossil fuels, renewable energy sources like solar power, wind farms and fuel cells are preferred. DC-DC multilevel converters with high gain appear a crucial segment of the renewable energy system. When compared with common topologies the multilevel DC – DC converter has low harmonic distortion, less stress in voltage, minimum EMI noise, and a raised efficiency. To use photovoltaic (PV) systems for standalone applications or micro grid applications, the low output voltage should be boosted to a certain level, i.e a 400V micro grid will be fed with a boost converter having 20V input voltage and gain of 20 to have 400 V at its output. 10 30 2019 2137 2142 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9682.109119 https://www.ijeat.org/portfolio-item/a9682109119/ Assistant Professor, Department of Civil Engineering, Government Engineering College, Thanjavur, Tamilnadu, India. Kavimani. T Dr.K. Balaji Assistant Professor, Department of Civil Engineering, University College of Engineering, Anna university, Panruti Campus, Tamilnadu. Dr.S. Poongothai Professor, Department of Civil Engineering, Annamalai University, Chidambaram, Tamilnadu. PL. Senthilkumar Assistant professor, Department of Civil Engineering, Government College of Engineering, Thanjavur, Dr.J.Mohamed Ashik Ali Lecturer , Department of Civil Engineering, Srinivasa Subbaraya Government Polytechnic College. Puthur. Nagai dist. The removal of cotton textile dye wastewater to the environment is a greater problem by its toxicological and aesthetical reasons. Many physicochemical methods were employed for treating the cotton textile dye wastewater. High cost and dangerous products produced by the physicochemical treatment reduce using these treatment methods. Hence the biological processes are employed for treating the cotton textile dye wastewater due to its cost effectiveness and less toxic effects. . Bio filter can be an effective solution for producing high quality water and saving water for recirculation. Bioball gives 80% reduction efficiency in BOD whereas Fixed filter media gives approx. 70% reduction efficiency in BOD The overall performance of the HUASBR achieved maximum COD removal of 87% at 24hrs HRT respectively. It is clearly understood that the % COD reduction is directly proportional to the HRT. Hence the HUASBR is suitable for treating real textile dye wastewater even upto 1300mg/l efficiency. 10 30 2019 2143 2147 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9685.109119 https://www.ijeat.org/portfolio-item/a9685109119/ Computer Science and Engineering, KalaignarKarunanidhi Institute of Technology, Coimbatore, India. Dr.K. Deeba S. Tamizharasi Electronics and Communication Engineering, RVS College of Engineering and Technology, Coimbatore, India. T.Vinoth Kumar Electrical and Electronics Engineering, RVS College of Engineering and Technology, Coimbatore, India. In Adhoc Wireless Sensor Networks (AWSN), nodes are moving with less or high mobility. It is very difficult to Quality of Service (QoS) to achieve network performance. Paths can be identified based on network model and stable route formation. In a cluster region, data gathering ratio can be easily achieved but difficult to reach maximum level. In existing schemes, balancing between data gathering and security was not attained. In this paper, Fuzzy based Secure Data Gathering Approach (FSDGA) is proposed based on TDMA based scheduling and Asymmetric key crypto model. This approach consists of three phases. In first phase, cluster formation and cluster head election is done based on calculation of remaining energy and stability of nodes. In second phase, secure routes are identified with constant key metrics. In third phase, Fuzzy integrated Data transmission phase is installed to protect the data from attackers and improve the data collection rate. The performance of FSDGA is analysed using simulation tool in terms of energy conservation rate, propagation delay, data confidential rate, control overhead and data gathering ratio. 10 30 2019 2148 2154 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9686.109119 https://www.ijeat.org/portfolio-item/a9686109119/ Mechanical Engineering Department, Gayatri Vidya Parishad College of Engineering (Autonomous), Visakhapatnam-530048, Andhra Pradesh, India B Sridhar Reddy A. B. Koteswara Rao Mechanical Engineering Department, Gayatri Vidya Parishad College of Engineering (Autonomous), Visakhapatnam-530048, Andhra Pradesh, India G Ranga Janardhana Mechanical Engineering Department, JNTUA University College of Engineering, Anantapur-515002, Andhra Pradesh, India The growing demand for the use of high strength to weight alloys in industries for manufacturing complex structures challenges the machinability of such advanced materials. In the present investigation, the machinability of SiC particle reinforced Al 2124 composite was studied on Wire electrical discharge machining (WEDM). The process parameters namely pulse on-time (Ton), pulse off time (Toff), peak current (IP), and servo voltage (SV) were optimized by utilizing the central composite design layout. The output responses such as kerf and material removal rate (MRR) were studied in detail. The single and multi-objective optimization was studied for a combination effect using Derringer’s desirability approach and Genetic Algorithm (GA). The experimental and predicted values for each response were validated at the optimized condition. The experimental results were found in line with the predicted values. Multi objective optimization of kerf and MRR by GA showing better result compared to RSM. 10 30 2019 2155 2163 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9687.109119 https://www.ijeat.org/portfolio-item/a9687109119/ Textile Engineering Department, The M. S. University, Baroda, India. Prof.(Dr.) S. S. Bhattacharya D. V. Bihola PhD Student of Textile Engineering, The M. S. University, Baroda, India. Presently working as a Assistant Prof. Textile Technology, L.D. College of engineering, Ahmedabad, India. Noise pollution has become an important burning issue in today’s modern industrial era after Air and Water pollution. Noise adversely affects human health and decrease productivity in various environments. The present study tries to study the acoustic properties of natural hollow fiber-kapok to develop a cost-effective and eco-friendly sound absorbing material as an alternative of conventional sound absorbing material which is harmful to the environment. Therefore, sound absorbing material consist of a blend of Natural hollow fibres Kapok and Modal were used to produced needle-punched nonwoven fabrics. A nonwoven needle punch method to produce fabrics was selected due to its technical merits and low production cost. Different nonwoven needle punched samples were produced by varying blend ratio, web mass per unit area, needle stroke and needle depth. After conducting several pre-trial, designs of the experiment was plan using Response surface methodology - Central composite design (RSM-CCD) method. Sound absorption coefficients of the sample were measured at a different frequency of incident sound using impedance tube test method ISO 10534-2. It was observed that sample with a higher percentage of kapok fiber showed higher sound absorbency at higher Frequency of 2000 to 6000 HZ. It was also found sound absorption coefficient increased with the increased in mass per unit area, needle stocks and needle depth. 10 30 2019 2164 2168 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9688.109119 https://www.ijeat.org/portfolio-item/a9688109119/ EEE department, Alagappa Chettiar Government College of Engineering & Technology, Karaikudi, TamilNadu, India. Arunya Revathi A In this paper, the implementation of HERIC transformer less inverter with variable energy sources as input is discussed.In order to get better efficiency, instead of using normal inverter transformer-less HERIC inverter had been used. The HERIC inverter contains fewer amounts of leakage current and conduction losses. Due to various climatic conditions, anyone of the energy sources (solar/wind) deliver low power. At that condition, the proposed structure is used to compensate the load requirement with the useful of battery. UP-PWM modulation is used in this proposed work.The performances were examined by using MATLAB/Simulink software. The hardware implementation of the proposed model is also discussed. 10 30 2019 2169 2173 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9691.109119 https://www.ijeat.org/portfolio-item/a9691109119/ AP, EEE, Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College,Chennai, TN,India Akila. S Dr.Deepthi Joseph AP, EEE, Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College,Chennai, TN,India Vidya. K AP, EEE, Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College,Chennai, TN,India Annapoorani AP, EEE, Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College,Chennai, TN,India Ananatha Saravanan AP, EEE, Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College,Chennai, TN,India Smart transportation for urban cities can be done using Internet of Things (IOT). An automated object detection algorithm is used to identify the vehicle by using VLPR system. Identification of vehicle in heavy traffic or in parking lots is difficult and hence we propose a system by using RFID tags where the vehicle movement and vehicle license plate number can be obtained accurately. So by using IOT we can access the data from anywhere and the vehicle movement can be identified. Instead of using digital camera where due to external disturbance the images gets blurred, so we go for RFID where due to radio frequency transmission they stores the data. The performance of the device will not get degraded due to shadow noise, thunders and due to heavy speed. The main aim of proposed system is to check the vehicles license number and drivers vehicle license and to verify the vehicles RC book renewal. 10 30 2019 2174 2177 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9692.109119 https://www.ijeat.org/portfolio-item/a9692109119/ school of applied science, Telkom University, Bandung, Indonesia. Sugondo Hadiyoso Achmad Rizal school of electrical engineering, Telkom University, Bandung, Indonesia. Inung Wijayanto school of electrical engineering, Telkom University, Bandung, Indonesia. Biometric technology has been commonly used for authentication. Fingerprint or iris become one of the biometrics that is widely applied. However, this type of biometrics tends to be easily falsified and damaged. So it is misused for manipulating actions and even crime. Therefore a new biometric method is needed to overcome this problem. One potential modality is biometrics based on an electrocardiogram (ECG) signal. This research simulates a one-lead ECG waveform for person authentication. ECG waves were taken from eleven healthy adult volunteers with a length of 60 seconds. ECG waves from each person are segmented into 10 sections so that a total of 110 ECG waves are used for person authentication simulations. All noise of the ECG waves was removed using a bandpass filter to reduce artifacts and high-frequency noise. Wavelet packet decomposition (3 Level) was applied to decompose the signal in several intrinsic parts so that typical wave information can be retrieved. Entropy-based feature extraction applied to all decomposed signals. A total of 14 entropy features have been calculated and used as predictors in the classification process. Validation and performance tests are carried out by cross-validation combined with linear discriminant analysis and support vector machines with five scenarios. The proposed method provides the highest accuracy of 71.8% using discriminant analysis and cubic support vector machine. The best accuracy value was achieved if all entropy features from all wavelet decomposition levels are used as predictors in the classification process. This research is expected to be a reference that ECG has the potential to become a future biometric modality. 10 30 2019 2178 2183 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9699.109119 https://www.ijeat.org/portfolio-item/a9699109119/ Elakkya Manoharan, Deepika.U, Arunkumar.KEaswari Engineering College, RamapuramRamapuram Chennai, India S.Kanaga suba Raja Mrs.M. Hema Easwari Engineering College , Chennai, India Cloud Computing Plays significant role in all type of business due to it features of measured service. so 89% of business are moving toward cloud that increases more number of data centers. Because of this there is more carbon dioxide emission.utilizing data centres for the efficient usage of client requests is major issue in the growing scenario amongst cloud users. Waiting for the data in queue for a long period of time increases the delay to obtain specific data. Our system focuses on reducing the delay of users, increasing the bandwidth thus giving an optimized system in cloud using software defined network. The software defined network has a central control over the entire system which efficiently manages the client requests. We have used the genetic load balancing algorithm to process the client requests in an orderly manner to enhance the data distribution between the various users of cloud. 10 30 2019 2184 2188 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9704.109119 https://www.ijeat.org/portfolio-item/a9704109119/ Department of Computer Science, Chikkanna Govt., Arts College, Tirupur, Tamilnadu, India. M. Selladevi T. Lathamaheswari Department of Computer Application, Sri Krishna College of Engineering & Technology, Coimbatore, Tamilnadu, India. S. Duraisamy Department of Computer Science, Chikkanna Govt., Arts College, Tirupur, Tamilnadu, India. In Mobile Ad-hoc Networks (MANETs), the most challenging task is detecting and mitigating wormhole links during data transmission between the source and destination nodes. Since it requires special hardware, synchronized clocks, mobile nodes equipped with GPS, etc. To overcome these challenges, Artificial Immune System-based Improved Secure-aware Wormhole Attack Detection (AIS-ISWAD) technique has been proposed that considers maximum end-to-end delay, path length and system parameters for detecting wormhole attacks. To simplify the detection process, AIS has been used as a learning approach that learns those parameters to detect the wormhole links and select an alternative route for transmitting the data packets. However, an uncertainty problem is addressed in AIS during computation of affinity value between antibody and antigen. Also, route selection is still not satisfied since data transmission requires a high-performance stable path from source to destination nodes. Therefore, the main goal of this article is handling the uncertainty problem during affinity computation and selecting the high-performance stable paths to transmit the data. In this paper, a Fuzzy Logic and AIS-ISWAD (FLAIS-ISWAD) technique is proposed to improve the wormhole attack detection and mitigation. In this technique, all computed parameters are given to the FL system to handle the uncertainty problem and construct the high-performance stable paths among all available paths in the network. Also, AIS is applied as a learning method to identify and isolate the wormhole links/nodes in MANETs with the highest network performance. Finally, the performance of the FLAIS-ISWAD technique is evaluated and compared through simulation results in terms of different performance metrics. 10 30 2019 2189 2195 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9707.109119 https://www.ijeat.org/portfolio-item/a9707109119/ Computer Science Department, BINUS Graduate Program-Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia Wimora Sarwindo Abba Suganda Girsang Computer Science Department, BINUS Graduate Program-Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia In the middle of the crowded infrastructure of facility and infrastructure while the data of project budget has been increasing every day, PT XYZ requires new technology of data warehouse in order to respond the needs of recording and extracting project budget data quickly and accurately because Ms Excel, recent software used by managing-data staff to store data manually, is fairly time-consuming to record and extract daily realization of project budget. Therefore, in order to help the company to learn the result of the project budgets that have already been spent for the various needs of project construction, the technology of data warehouse should be present in order to extract and record data more consistently and time-saving. Data warehouse technology to support the development of Data Warehouse is Pentaho because Pentaho is database application that is supported with database MYSQL and OLAP feature as a means to analyze and process data contained in multidimensional tables once the process of ETL is executed. ETL means the process of selecting and extracting data from one source into the designated source in order to produce better-quality data result. OLAP is developed by using pivot 4j view integrated by pentaho server to map the structure of fact and dimension table properly so that, the tables can get a proper connection to display desired information in term of graphs for the need of dashboard display. The dashboard that is coded through mdx queries in CDE Dashboard shows the final result of either monthly or yearly project budget obviously and reliably so that the company can learn the report and make decision that needs to be taken to control the budget costs and maintain the company profit. Both CDE Dashboard and pivot 4j view are integrated with pentaho server. Finally, report is presented by using pentaho report designer as a means to extract needed data more rapidly and consistently because data are called through id stored in different table, but the same field. 10 30 2019 2196 2205 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9708.109119 https://www.ijeat.org/portfolio-item/a9708109119/ Department of applied sciences, Adesh Institute of Engineering and Technology, Faridkot, Punjab (INDIA). Harpreet Kaur Neeraj Rani Research scholar of I.K. Gujral Punjab Technical University, Kapurthala, Punjab (INDIA). B.P. Garg Department of applied sciences, Adesh Institute of Engineering and Technology, Faridkot, Punjab (INDIA). An analytical investigation is applied for the velocity of a vertically falling non-spherical particle in Newtonian and non-Newtonian fluid. The velocity of vertically falling non-spherical particle can be described by the force balance equation (Basset-Boussinesq-Ossen equation). Variational Iterations Method (VIM) and Runge- Kutta 4th order method are used to solve the existing problem. The results were compared those obtained from VIM by R-K 4th order method. We obtained that VIM which was used to solve such non-linear differential equation with fractional power is simpler and more accurate than other methods. Analytical results indicate that the velocity in a falling procedure is significantly increased and more in Newtonian fluid. Also particle’s velocity in Newtonian fluid reaches early at terminal velocity as compare to non-Newtonian fluid. To obtain the results for all different methods, the symbolic calculus software MATLAB is used. 10 30 2019 2206 2209 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9709.109119 https://www.ijeat.org/portfolio-item/a9709109119/