19c96fd517d854497e8-52e1 20220110064818878 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/ Computer Engineering Dept, College of Technology Pantngar, U. S. Nagar, India. Rakesh Kumar* Rajeev Singh Computer Engineering Dept, College of Technology Pantngar, U. S. Nagar, India. In the field of information technology cyber security plays a vital role. Securing information is the biggest challenge now a days. As the word cyber security comes in our mind the fear of cybercrime comes in us at the same time. Cyber threats are nothing but an activity by which any targeted system can be compromised by altering the availability, integrity, and confidentiality of the system. To overcome such type of threats there are number of mechanisms available. Recently the Machine Learning (ML) approaches have proved to be a milestone for the classification of NetFlows. The NetFlow is a network protocol designed by CISCO which is used to collect the network traffic (NetFlows). In this paper J48 and Random Forest (RF) machine learning algorithms are used for classification of cyber threats using NetFlows. The results are obtained by applying classification algorithms on NetFlows using Weka ML tool and RStudio. A comparison is made in various perspectives like accuracy, true positive (TP), false positive (FP), etc. 10 30 2019 2973 2979 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1326.109119 https://www.ijeat.org/portfolio-item/a1326109119/ B. Tech, Department of Computer Engineering, Jind Institue of Engerring and Technology, Kurukshetra India. Shelly* Juhi Agrawal Department of Information Technology in University of Petroleum and Energy Studies, Dehradun, India. Wireless Body Sensor Network (WBSN) has come into view as a trending field in the recent years, having major application in the medical field. In this, few sensor nodes are put on or around human body which gathers the data and that data is processed for early detection of diseases where we can start early treatment, data is gathered while surgeries are performed. Based on the criticality of the information, it is very important to have routing protocols which are efficient and can be effectively used to gather the data[2]. In WBSN, one of the major concern is whenever we place sensor nodes on the human body, as they are used to gather the data, the temperature of those sensor node increases due to load and which need to be minimize in an effective way, how the packets need to be send in order to minimize the network load, energy saving mechanisms, efficient and effective packet delivery [3]. These few parameters bring the need of routing protocols into the picture. In this paper, we have critically reviewed all the routing protocols proposed so far which take temperature of the node as a metric, popularly known as Temperature-Aware Routing Protocols. We hope this help readers in their future work. 10 30 2019 2980 2987 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1340.109119 https://www.ijeat.org/portfolio-item/a1340109119/ PhD Research Scholar at NIT Jalandhar, and Assistant Professor, of Professional University, Jalandhar, Department of Industrial and production engineering, Jalandhar India. Guravtar singh Mann* Dr. Lakhwinder P al Singh Associate Professor Department of Industrial and production engineering, PhD Industrial Engineering (NIT Jalandhar)M.Tech Industrial and production engineering, Jalandhar, India. Dr. Pramod Kumar Associate Professor Department of Mechanical engineering PhD Industrial Engineering (NIT Jalandhar) M Tech Mechanical (CIDM) (NIT Jamshedpur), B Tech Mechanical (NIT Jamshedpur), India. Green composites are the materials which are made up of natural fibers and biodegradable matrix materials, which have the ability to replace the non-biodegradable, petroleum-based products. In this study, the focus is to develop the fully biodegradable green composites in which matrix material is selected as Polylactic Acid (PLA) reinforcement with jute and sisal fiber using hand layup followed by a compression molding technique. Composites are developed with different volume fraction from 25% to 50% and different temperature from 165°C to 195°C. Furthermore, the study of the failure mechanism of the tested specimens will be done with the help of a scanning electron microscope (SEM). 10 30 2019 2988 2994 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1359.109119 https://www.ijeat.org/portfolio-item/a1359109119/ Ph.D., Research Scholar, Department of CSE, Annamalai University, Chidambaram. Tamilnadu, India S Balamurugan* A Ayyasamy Department of CSE, FEAT, Annamalai university, Chidambaram, Tamilnadu, India K Suresh Joseph Department of Computer Science, Pondicherry University, Puducherry. India. The conventional Food Supply Chain Management (FSCM) faces a variety of provocation such as ambiguity, security, cost, complication and quality concerns. To resolve these issues, supply chain must be precise. A challenging assignment in today’s food industry is distributing the high quality of foods throughout the supply chain management. In this paper, proposes an efficient Bayes Classifiers Algorithm which integrated with FSCM using Internet of Things (IoT) to allow tracking, tracing and managing the entire process of food supply chain such as supplier, exporter and customers. The objective of this paper is to determine the food safety and to optimize chronological data produced to analyze the effective possibility of future assump- tions. It also aims to foods carrying from the manufacturers to the customers with help of IoT technologies to bond the producer to the customer with delivery of high class of food products. IoT based Food Supply Chain Traceability is utilized t o data transaction effectively with indeterminate, uncertain and insufficient information. So the proposed efficient Bayes Classifiers Algorithm will be capable to overcome all provocation of conventional supply chain and afford secure background and food safety for FSCM process using IoT technology. 10 30 2019 2995 3005 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1379.109119 https://www.ijeat.org/portfolio-item/a1379109119/ Research Scholar, Nehru Arts and Science College, T.M. Palayam, Coimbatore, Tamil nadu, India. Anitha* D. Vimal kumar Associate Professor, Department of Computer Science, Nehru Arts and Science College, T.M. Palayam, Coimbatore, Tamil nadu, India. Collaborative filtering algorithm will be one among the assisting techniques delivering customized suggestions in the area of ecommerce. Nevertheless, conservative techniques concentrated in operating with client’s review and will not take into account of alteration of customer’s desires along with reliability of rankings associated. Huge quantity of increase in clients along with items resulted in certain critical complexities. Fresh Suggestion strategies will be required. Slope One algorithm might perform well with the motivation of minimized inadequacy of rankings, enhanced precision of suggestion. On the other hand increase in number of clients, resulted increased consumption duration. Establishment of solutions for complexities to extend adjacency space via utilization of clustering strategies will be carried out. Fundamental motivation of the paper relies with investigating feasible influence of utilizing trust measures in enhancing the quality of suggestions. This paper highlighted the significance of Trust in determining solutions for providing suggestions. Slope one algorithm incorporated with hierarchical agglomerative clustering technique performed superiorly while evaluated with trust metrics and solved the problem of huge amount of information associated with Trust aware information. 10 30 2019 3006 3013 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1409.109119 https://www.ijeat.org/portfolio-item/a1409109119/ Associate Professor, Department of Human Resource Management R V Institute of Management Bangalore – 560 041 Karnataka, India. Dr.A.Narasima Venkatesh From Bluetooth enabled hearing aids to robotic caretakers, wearable and smart devices industries are immensely contributing to the development of the healthcare industry with the help of Internet of Things (IoT). Latest technologies like Artificial Intelligence, 3D Printing, Big data, Machine Learning, Advanced Sensors, Mobile Applications and other technologies will continue to generate lot of opportunities for Medtech organizations. Some of the latest healthcare innovations practiced at present might have been seen or read by some of us only in science fiction movies or science fiction stories a long ago. Presently, IoT and Artificial Intelligence is creating a revolution in healthcare industry when it comes to diagnosis and treatment of varied diseases. From smartphones to robots, artificial intelligence is already making its presence felt in healthcare industry and as such it is progressively recognizing the transformative nature of IoT technologies which drives innovation in the development of connected medical devices. Gradual increase in the number of connected medical devices with the advent of technology advancements helps to capture and transmit medical related data wherever and whenever required to the concerned people and thus, it gave birth to the Internet of Medical Things (IoMT), where the Internet of Things (IoT) and healthcare meet. The IoMT helps to constantly monitor and alter (if required) the behvaiour of the patient and his/her health status in real time and also supports healthcare organizations to effectively streamline clinical processes, patient information and related work flows to enhance its operational productivity. The IoMT has made and continues to make the delivery of P4 Medicine (Predictive, Preventive, Personalized and Participatory) even for remote locations with the help of connected sensors and devices helping in real-time patient care. IoMT helps doctors and caregivers to provide patient care and support by constantly monitoring data related to patients through mobile apps and connected medical devices even when patient(s) or doctor(s) are located at remote locations. This research paper discusses about six use cases explaining how IoMT is applied in healthcare industry. 10 30 2019 3014 3019 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1412.109119 https://www.ijeat.org/portfolio-item/a1412109119/ Student, Faculty of Technical and Vocational Education (FTVE), Universiti Tun Hussein Onn Malaysia, Master Technical Vocational Education. Fatin Syazwani binti Mohd Zuki Alias Masek lecturer, Faculty Of Technical and Vocational Education, Universiti Tun Hussein Onn Malaysia (UTHM). Abd Rasyid Mohamed Teacher,Sekolah Seni Malaysia Johor (SSEMJ) Norsuhaidah Mohamad, Student,Faculty of Technical and Vocational Education (FTVE), Universiti Tun Hussein Onn Malaysia, Master Technical Vocational Education. Didactic teaching for electrical wiring installation and maintenance courses is a tricky task as it involves careful work steps as well as adherence to specific safety measures. The existence of errors during the execution of the techniques and procedures will be hazardous and wasting materials. Therefore, this study aimed to explore the role of pedagogy and the usage of video as a teaching aid along with didactic teaching strategy, implemented while teaching electrical wiring installation and maintenance courses in vocational colleges, in Malaysia. This study was done qualitatively by using case study approach by interviewing two experienced teachers from vocational colleges and an officer from State Education Department, Johor, Malaysia. The deductive thematical analysis was used to analyse the pedagogical elements and the use of videos in the practical teaching of electrical wiring installation and maintenance courses. Findings show that there are four main domains of the pedagogical roles of a video clip namely cognitive, experience, affective and skill. Six video attributes were also explored, which are the video content, slow motion, realistic, extreme close up, chronology and interactive footages. As a result, the pedagogical roles and the attributes of a video clips can serve as a guideline to the educators and practitioners for the development of video-assisted materials for teaching skills in the electrical wiring installation and maintenance courses. 10 30 2019 3020 3027 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1202.109119 https://www.ijeat.org/portfolio-item/a1202109119/ Research Scholar, Department of Electronics and Communication Engineering, Noorul Islam Centre for Higher Education, Thuckalay, India. Mrs. S. Daphni Dr. K. S. Vijula Grace Associate Professor , Department of Electronics and Communication Engineering,Noorul Islam Centre for Higher Education, Thuckalay, India. The Residue Number System (RNS) based reverse converter can play as main role in Parallel arithmetic operations of Digital Signal Processing (DSP) applications and VLSI technologies. Normally, by the use of carry adders, the reverse conversion design gives high delay and high power consumption. Due to resolve of above problem, the design of reverse converter is proposed by the use of familiar high speed (less propagation delay) Parallel Prefix - Kogge Stone Adder (PP- KSA). This paper describes the design of 32-bit Reverse converter with regular PP-KSA and proposed MUX (Multiplex) logic of PP-KSA with Hybrid Modular Parallel Prefix structure (HMPE) separately. In addition to that, the performance of that designs are analysed based on area, delay and power independently. The Performance results of proposed MUX logic of PP-KSA Reverse converter design yields low power than the other design which uses the regular PP-KSA. The simulation and synthesis effects can be done in Xilinx ISE 14.2i tool. 10 30 2019 3028 3031 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1207.109119 https://www.ijeat.org/portfolio-item/a1207109119/ Department of Mathematics, Centurion University of Technology and Management, Odisha, India *Mohammed Siddique Debdulal Panda Department of Mathematics, KIIT Deemed to be University, Bhubaneswar, India This paper presents an extremely precise prediction method which improved the decision of the investors on daily direction of the stock market. Among the studies that focus on daily stock market forecasting, the hybrid machine learning techniques are more appreciated than the conventional data mining procedures. With an intent to produce such a model with more accurate predictions, this paper analyzes a series of technological indicators used in usual studies of the stock market and uses principal component analysis (PCA), along with support vector regression (SVR) and particle swarm optimization (PSO) algorithm. Feature extraction is such a procedure that can remove the unnecessary and unrelated factors, and reduce the dimension of the input variables from the original dataset. The feasibility and efficiency of the proposed PCA-SVR-PSO hybrid model was applied to forecast the daily closing prices of stock index of TATA Motors. The performance of the proposed approach is evaluated with 4304 (from 1st January 2001 to 6th April 2018) trading days historical stock price data of Tata motors collected from Bombay Stock Exchange (BSE). The total data sets were splits into two parts, 80% of the data (3444) has been used in the training phase and rest 20% of the data (860) for the testing phase. We compared our results with ANN-PSO and SVR-PSO hybrid models. The experimental results reflect that the proposed hybrid model incorporating PCA is more practicable and better performs than SVR-PSO. 10 30 2019 3032 3037 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1603.109119 https://www.ijeat.org/portfolio-item/a1603109119/ Electronics Engineering Department, Don Honorio Ventura State University, Bacolor, Pampanga. May C. Layson Intravenous (I.V.) Monitoring and Refilling System is a system for monitoring I.V. therapy and notifying abnormal drip rate and refilling of the I.V. bag. The system has a portable receiver device (for the nurse/nurse station) and a transmitter device (for the patient). The study uses Radio Frequency (RF) medium. RF module was used for transmitting and receiving of the current status data of the monitoring and notifying system. The system has also fiber optic sensors for detecting and counting the drip rate of the I.V. bag. The control panel of the system is placed on the transmitter (patient side). The main objective of the monitoring system is to process an accurate I.V. therapy, prevent the possible backflow of the blood by stopping the I.V. set attached to the system. It makes the I.V. therapy setup fast and easy allowing more time for nurses to perform duties other than monitoring the IV therapy of patients assigned to them. System test results show that transmission delay is not evident in closed area and can transmit accurately without delay up to 70 meters. A 100% detection rates were also recorded for different drip rates and percent IV bag content. Comparing the operating frequency of the I.V. monitoring and refilling system to other medical equipment, the RF module used in the system has an operating frequency that is unique among all the technologies and equipment that may be present in a hospital or clinical setting. The system can also cut down the cost of such medical equipment by 72% if compared to the infusion pump available in the market. 10 30 2019 3038 3043 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1613.109119 https://www.ijeat.org/portfolio-item/a1613109119/ Department of CSE, Malla Reddy College of Engineering and Technology, Hyderabad, India. Radha D* Chandra Sekhar P Department of CSE, GITAM, Visakhapatnam, India. The World Wide Web is increasing tremendously with massive amount of textual content primarily through social media sites. Most of the users are not interested to upload their genuine details along with textual content to these sites. To identify the correct information of the authors the researchers started a new research area named as Authorship Analysis. The authorship Analysis is used to find the details of the authors by examining their text. Authorship Profiling is one type of Authorship Analysis, which is used to detect the demographic characteristics like Age, Gender, Location, Educational Background, Nativity Language and Personality Traits of the authors by examining writing skills in their written text. Stylometry is one research area defines a set of stylometric features namely word based, character based, syntactic, structural and content based features for differentiating the author’s writing styles. In this work, the experimentation conducted with various stylistic features, N-grams and content based features for gender prediction. These features are used for representing the vectors of documents. The classification algorithms produce the model by processing these vectors. Two classification algorithms namely Random Forest, Naïve Bayes Multinomial were used for classification. We concentrated on prediction of Gender from 2019 Pan Competition Twitter dataset. Our approach obtained best accuracies when compared with many Authorship Profiling approaches. 10 30 2019 3044 3049 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1621.109119 https://www.ijeat.org/portfolio-item/a1621109119/ Department of Mechanical Engineering, Integral University, Lucknow, India. Syed Asghar Husain Rizvi* Prem Kumar Bharti Department of Mechanical Engineering, Integral University, Lucknow, India. Sanjay Agarwal Department of Mechanical Engineering, B.I.E.T., Jhansi, India. The present work concentrates on the modeling of the residual stress and cracks induced during the machining of AISI 4340 in die-sinking EDM. Response surface methodology with rotatable central composite design is used with peak current, pulse on duration, voltage and pulse duty factor as process parameters. The relation between these process parameters and induced residual stress and cracks is established. The results of ANOVA elucidates that the present model is significant. Voltage and pulse on time are observed to have major dominance on residual stress. The SEM images reviled that micro-cracks resulted from the thermal stresses developed during machining of the workpiece. At higher levels of pulse on duration, wider cracks are observed due to high thermal gradients. 10 30 2019 3050 3055 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1624.109119 https://www.ijeat.org/portfolio-item/a1624109119/ Professor, Department of Mechanical Engineering, Institut Teknologi Nasional, Bandung, Indonesia. M. Nurbanasari* D.G. Syarif Nuclear Technology Center for Materials and Radiometry (PTNBR), BATAN, Bandung, Indonesia Nurizki student Department of Mechanical Engineering, Institut Teknologi Nasional, Bandung, Indonesia. Y. Irwan Associate Professor, Department of Mechanical Engineering, Institut Teknologi Nasional, Bandung, Indonesia Solid Oxide Fuel Cell (SOFC) is a solid-state energy conversion device which produces electricity through the conversion of chemical energy directly to electrical energy. The research was carried out to characterize Calcia Stabilized Zirconia (CSZ) that was made using sol gel method. In this study, the production of CSZ pellets consisted of three steps. First step was the extraction of ZOC (ZrOCl28H2O) and second step was the production of Zr(OH)4 and the last step was dissolution of ZrOH4 into HCl and then adding CaO to get CSZ powder. The CSZ powder was then pressed to form pellets, followed by sintering at 1200 oC for 3 hours. The characterization was conducted using X ray diffraction to analyze the presence of impurities as well as the formation of cubic phase and scanning electron microscope was used to observe the pores in the microstructure. From the XRD data and SEM analysis, it can be concluded that the Calcia Stabilized Zirconia as a solid electrolyte in SOFC using sol gel method gave promising results. 10 30 2019 3056 3060 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1628.109119 https://www.ijeat.org/portfolio-item/a1628109119/ Research Scholar, Dept. of EEE, SVUCE, SV University, Tirupati. *V. Bala Raju Dr. Ch. Chengaiah Professor, Dept. of EEE, SVUCE, SV University, Tirupati. In this paper, modeling and performance analysis of conventional configurations are Series-Parallel (SP), Bridge-Linked (BL), Honey-Comb (HC), Total-Cross-Tied(TCT) and proposed hybrid configurations are SP-TCT, BL-TCT, HC-TCT, BL-HC and modified BL(MBL), modified HC(MHC), proposed optimal interconnection type configurations of a 5x5 size solar PV array under ten different partial shading cases it causes shading losses and compare the best configuration with respect to array power, number of interconnections or ties required between shaded modules in the array. The proposed optimal interconnection method reduces the number of ties required between modules and these ties are based on the position of number of shaded modules in the entire solar PV array. For the performance analysis of above 11 configurations, total ten shading cases are considered and compare the result with one un-shaded case-U of an irradiance 1000 W/m2. The PV module parameters of Vikram Solar ELDORA 270 are used for modeling of above 11 conventional and proposed PV array configurations and simulate the models in MATLAB/ Simulink software. 10 30 2019 3061 3073 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1661.109119 https://www.ijeat.org/portfolio-item/a1661109119/ Ph.D scholar, JNTUK, Kakinada, India. S.Venkata Rama Rao* A.Mallikarjuna Prasad Professor of ECE, University College of Engineering, JNTUK, Kakinada, India. Ch.Santhi Rani Professor of ECE, USHA RAMA College of Engineering and Technology, Telaprolu, Near Gannavaram, India. A lot of research is being carried out to reduce side lobe levels (SSLs) in the radiation pattern of antenna arrays. A number of novel optimization techniques have been developed over the years and adapted for this purpose. In this paper, a number of window functions are applied to suppress the maximum side lobe level (MSLL) in linear antenna arrays. The window functions Bartlett, Taylor, Hanning, Barthann, Hamming, Gaussian, Blackman, Chebyshev, Blackman-Harris and Kaiser are considered in the simulation. The optimized pattern for a 10 element linear antenna array and corresponding normalized window tappers for every window are presented. Finally the efficiency of all windows is compared in terms of their computed parameters. 10 30 2019 3074 3081 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1664.109119 https://www.ijeat.org/portfolio-item/a1664109119/ Department, Name of the affiliated College or University/Industry, City, Country Alfira Kumratova* Elena Popova Department, Name of the affiliated College or University/Industry, City, Country Lilija Temirova Department of mathematics, North-Caucasian State Academy, Cherkessk, Russia. Olga Shaposhnikova Department of mathematics, North-Caucasian State Academy, Cherkessk, Russia. In this work authors propose using adapted nonlinear dynamics methods to prepare time series data for the forecast procedure in order to identify chaotic dynamics and to select forecast methods and models. Each step of the proposed set of methods for data preprocessing allows us to put forward proposals on certain properties of the studied time series. This, in turn, proves that to obtain reliable and reasonable conclusions about the type of behavior of the investigated system, the results of one of the many existing tests are not enough. Conducting a comprehensive analysis, will most correctly determine the type of behavior of the time series and its characteristics, which will make it possible to obtain a reliable forecast in the future. 10 30 2019 3082 3085 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1671.109119 https://www.ijeat.org/portfolio-item/a1671109119/ Asst. Professor, Dept of Zoology, UCS, Osmania University, Hyderabad. India Dr.J.Venkateshwara Rao* HSP70 are the specialized Heat Shock Proteins that show their novelty presence inside the deepest part of Cellular Component Networks of Chaperons and involve with various heat Shock repairing up mechanisms as main Catalytic Components. They actively participate in proper alignment and resistance of all types pressures by their proper dealing with substrates and proper exposure of their hydrophobic peptide portions inside of their substrate molecules. The exchange of information cum process of information occurs between the cell components through HSP70’s low level of affinity ATP bind sites and High Affinity level of ADP binding sites. Therefore, ATP hydrolysis process plays a key role in fundamental mechanisms, in vitro and as well as in in vivo repairing mechanisms for the functioning of Chaperone like functionalities of HSP 70 proteins. In the current study analysis, Homology Modeling methods permits us for modeling the 3D structure of the protein by taking backbone of experimentally determined 3D-Structures of homologous proteins extracted in various structural formats like PDBs. We worked with HSPA4 heat shock protein family A (HSP 70) part 4 from Homo sapiens ( Human ) and conducted 3-D structure prediction using an Automated Swiss Model Generation by employing the crystal structures of Template molecule. PDB Blast and Template search for required protein were conducted with help of all the parameters with respect to Imapact and Psi Impact angles and that leads to for most noteworthy sequence identity, structural alignments and functionalities. Finally, the homology modeling were performed by using SWISS modeler and modeled proteins were fine tuned by using the Ramachandran Plot, by using PROCHECK and 3D-Check Software Programs. 10 30 2019 3086 3091 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9476.109119 https://www.ijeat.org/portfolio-item/a9476109119/ B-Tech, SRM Institute of Science and Technology in Electrical and Electronics, India. Himanshu Kumar Saxena* Tejas Malik B-Tech, SRM Institute of Science and Technology in Electrical and Electronics, India. Ankur Bhardwaj B-Tech, SRM Institute of Science and Technology in Electrical and Electronics, India. In the paper portrayed, we design the automation system using an Arduino ATMEGA microcontroller board for traffic light on a cross road. We created a mechanism by utilizing IR sensors governed with an Arduino ATMEGA board. In the portrayed technique of Arduino program mechanism, the timer of the traffic light will depend upon the traffic blocked by the IR sensor pair and eventually the roadblocks appear as the signal is red. The structure comprises the interconnection of drivers to a motor connected to the roadblocks. The IR pair sensors are responsible for the traffic light timer delay and emerging of the roadblocks. The Arduino ATMEGA is power-driven by a battery and an LED is coupled for its indication purpose. 10 30 2019 3092 3095 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9660.109119 https://www.ijeat.org/portfolio-item/a9660109119/ Embedded and VLSI design, Dr. D Y Patil School of Engineering, Pune, India, Avinash Kumar* Dr. Rashmi P Mahajan Embedded and VLSI design, Dr. D Y Patil School of Engineering, Pune, India, Main motive of this proposed work is to develop an accurate security system for the Automated Teller Machine (ATM). High security is achieved by detecting harmful movements at the location. The proposed system uses Fuzzy logic and KNN classifiers to detect the motion accurately and take appropriate action. Fuzzification is implemented to work on larger data set and to observe different smaller data. Furthermore data is processed through the k-NN classifier to get the nearest result like it is intrusive behavior or normal behavior. If it is intrusive behavior then the door is locked and camera starts recording simultaneously message will be sent to the concern authority to take the counter action. Sensing system is developed with the help of geophone sensors, microcontroller. The proposed system achieves the accuracy of 98 percent to detect the harmful action. 10 30 2019 3096 3100 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9996.109119 https://www.ijeat.org/portfolio-item/a9996109119/ Research Scholar, Renewable Energy Engineering, CTAE, Udaipur Vishnu Agarwal* Dr. Sudhir Jain Professor and Head Renewable Energy Engineering, CTAE, Udaipur. Dr. S. Jindal Professor and Head, Mechanical Engineering, CTAE, Udaipur. Energy is considered to be an essential factor contributing in the economic and social development of any nation. Shortage of energy or energy imbalance is an impediment to the growth of a country. Energy generated from the non – renewable sources like coal, petroleum etc. harm the environment by emitting harmful green house gases. Using alternative renewable sources for generation of energy will save our earth and reduce the emission of greenhouse gases. Renewable energy sources can serve as alternatives to conventional fuels (LPG, coal, petroleum etc.). Most of the community messes use LPG as a prime source of energy for cooking purposes. This research work focuses on the design of solar based hybrid community cooking system which is a good alternative to LPG based cooking system. Heat required for boiling rice, pulses and green vegetables per day was calculated for 400 persons in community mess. A hybrid cooking system based on solar water heater, heat pipe, biogas and boiler was designed and integrated as per the heat requirements of 400 students. The integration also aimed at the reduction of wood consumption in the boiler of hybrid cooking systems, thus reducing emissions of harmful gases to a minimum. 10 30 2019 3101 3107 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.E7360.109119 https://www.ijeat.org/portfolio-item/e7360068519/ Center for Advanced Computing Technology, Fakulti Teknologi Kejuruteraan Elektrik dan Elektronik (FTKEE), UTeM, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia. Jamil Abedalrahim Jamil Alsayaydeh* Adam Wong Yoon Khang Center for Telecommunication Research and Innovation, Fakulti Teknologi Kejuruteraan Elektrik dan Elektronik (FTKEE), UTeM, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia. Win Adiyansyah Indra Center for Telecommunication Research and Innovation, Fakulti Teknologi Kejuruteraan Elektrik dan Elektronik (FTKEE), UTeM, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia. Vadym Shkarupylo Department of Computer Systems and Networks, National University of Life and Environmental Sciences of Ukraine, Heroyiv Oborony str., 15, 03041, Kyiv, Ukraine. A K M Zakir Hossain Center for Telecommunication Research and Innovation, Fakulti Teknologi Kejuruteraan Elektrik dan Elektronik (FTKEE), UTeM, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia. Saravanan Fakulti Teknologi Kejuruteraan Elektrik dan Elektronik (FTKEE), UTeM, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia. Jaysuman Bin Pusppanathan Senior Lecturer, School of Biomedical Engineering & Health Sciences, Faculty of Engineering, Universiti Teknologi Malaysia. Research and development advancements in the area of Vehicle Door Security using Smart Tag and Fingerprint System. Fingerprint biometric is one of the popular, ubiquitous, reliable, economical and efficient biometric technologies. Due to its versatility, fingerprint biometric is applicable. Fingerprint is popular because of its universality, uniqueness, permanence, acceptability, performance [1]. The Arduino as a controller between RFID Sensor, Fingerprint Sensor, Buzzer, LCD, LED and Relay. This research implemented for security purpose to protect the safety of vehicle from vehicle theft or burglary. It is very useful and important for alert the people who have vehicle to protect it from theft. This is a very important system to be implemented at the main door of vehicle. The system started to work when the user access either than one system fingerprint or smart tag to lock and unlock the door. The fingerprint system only user can access their fingerprint whereas the smart tag system can access by user or user’s intimate relative when they borrow the vehicle for emergency. The vehicle door cannot be opened when unmatched fingerprint is access or incorrect smart tag is access. Once the incorrect smart tag is access by unauthorized person, the buzzer will be activated and produce a high level of alarm sound to alert the user. The Arduino Uno microcontroller is controlled by the entire system of the project. Hence, it is easy to implement and available to use because it has a simple function, so this system can be enhancing with modern technology so it can be applying into vehicle part for secure the vehicle. 10 30 2019 3108 3114 10.35940/BEIESP.CrossMarkPolicy 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.E7468.109119 https://www.ijeat.org/portfolio-item/e7468068519/ Research Scholar, Dept. of EN, Ajay Kumar Garg Engineering College, Ghaziabad, India. Neha Khan* Dr. Bhupal Singh H.O.D , Dept of EN, Ajay Kumar Garg Engineering College, Ghaziabad, India. Electric vehicles (EVs), in today’s scenario have become a replacement of conventional mode of transportation as they have shown an ability to minimize the carbon and sulfur emitting fuel operating vehicles. In this study, the components of the battery operated EV (BEV) systems are discussed and a model of BEV on the MATLAB-Simulink platform is simulated. Moreover, the relevant electrical system components as well as its corresponding equations for verification are identified. Furthermore, all simulation results were considered. Thus this study presents a foundation for higher researches in the field of EVs. 10 30 2019 3115 3118 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.E7482.109119 https://www.ijeat.org/portfolio-item/e7482068519/ Faculty of Psychology, Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru 28293, Indonesia. Khairil Anwar* Asmal May Faculty of Education and Teacher Training, Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru 28293, Indonesia. Afrizal M Faculty of Ushuluddin, State Islamic University of Sultan Syarif Kasim Riau, Pekanbaru 28293, Indonesia. Andi Murniati Faculty of Education and Teacher Training, Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru 28293, Indonesia. Rado Yendra Department of Mathematics, Faculty of Science and Technology, UIN Sultan Syarif Kasim Riau, Pekanbaru, Indonesia. Rado Research Centre, Indonesia. Ahmad Fudholi Solar Energy Research Institute, Universiti Kebangsaan Malaysia, 43600 Bangi Selangor, Malaysia. This research is concentrated in the increasing of education issue studies using the management of potential data on Websites for Communicating Research in the field of Education. This research relates with several web sites, i.e: https://puspendik.kemdikbud.go.id/hasil-un/, and https://dapo.dikdasmen.kemdikbud.go.id/sekolah/ Furthermore, this research is also purposed in order to elucidate the potentials and challenges of internet data for education to demonstrate a selection of relevant literature so that a wide spectrum of topics can be reached. A part of this data represents a large and increasing part of everyday life which sometimes could not be measured. The data used are a timely data which are potentially following a factual process, moreover they typically involve large numbers of observations, and they allow for flexible conceptual forms and experimental settings. In this paper, the data that are gained will be managed such that some academic articles are produced. Some data at the Internet had successfully been applied to a very wide range of detecting education issues (e.g. spatial analysis for relation a number of male and female students and score of mathematics and foreign languages test), we review the current literature attempts to incorporate the Internet data into the mainstream of scholarly empirical research in our research and guide the reader through this Special Issue. We provide some insights and a brief overview of the current state of research. 10 30 2019 3119 3122 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F7899.109119 https://www.ijeat.org/portfolio-item/f7899088619/ Faculty of Mathematics, Chikkanna Govt. Arts College, Bharathiar University, Tamil Nadu, India. A Radharamani A Brindha Faculty of Mathematics, Tiruppur Kumaran College for Women, Bharathiar University, Tamil Nadu, India. In this paper, we introduced and discussed about fuzzy paranormal operators. A fuzzy bounded linear operator𝕋 on a fuzzy Hilbert space 𝓗 is fuzzy paranormal if‖𝕋𝟐 𝒂‖≥‖𝕋𝒂‖𝟐, for every unit vector a in 𝓗. It is easily known that this class includes fuzzy hyponormal operators. 10 30 2019 3123 3127 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F8309.109119 https://www.ijeat.org/portfolio-item/f8309088619/ Department of Electronics and Communication Engineering, University of Hertfordshire, College Ln, Hatfield AL10 9AB, UK. Vijaya Durga Ravva* Dr Allan McLauchlin Department of Electronics and Communication Engineering, University of Hertfordshire, College Ln, Hatfield AL10 9AB, UK. Pilot symbols are huge utilized in countless functions what's more, principles. In conventional methodologies, Pilot images are multiplexed among actualities stream, bolstered friend uncommon example, on every single transmitter radio wire. Beginning evaluation channel is gotten by methods for pilot helped Least rectangular (LS) channel estimation the utilization of recurrence space approach. Recouped images are acquainted with enrich the channel gauge through time zone approach. The general execution proposed authority is incontestable utilizing contraption reproductions that are distributed below totally extraordinary channel conditions. 10 30 2019 3128 3131 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F8330.109119 https://www.ijeat.org/portfolio-item/f8330088619/ Research scholar, MD University, Rohtak, India. Deepak Sharma* Shilpa Singhal PG student, C-DAC, GGSIP University, New Delhi, India. In today’s world social media is one of the most important tool for communication that helps people to interact with each other and share their thoughts, knowledge or any other information. Some of the most popular social media websites are Facebook, Twitter, Whatsapp and Wechat etc. Since, it has a large impact on people’s daily life it can be used a source for any fake or misinformation. So it is important that any information presented on social media should be evaluated for its genuineness and originality in terms of the probability of correctness and reliability to trust the information exchange. In this work we have identified the features that can be helpful in predicting whether a given Tweet is Rumor or Information. Two machine learning algorithm are executed using WEKA tool for the classification that is Decision Tree and Support Vector Machine. 10 30 2019 3132 3138 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1637.109119 https://www.ijeat.org/portfolio-item/a1637109119/ Research Scholar, RIMT University, Mandi Gobindgarh. Parul Sharma* Dr. Yash paul Singh Berwal Additional Secretary, Haryana State Board of Technical Education , Haryana Dr .Wiqas Ghai Associate Professor , Computer Science Engineering, RIMT Unuiversity , Mandi Gobindgarh. GPUs are very useful in high performance computing. With the emerging new trend of cloud environments with GPU instances are now gaining popularity in many real time applications. GPUs in a cloud environment still needs a long way to initiate various challenges in a cloud .The gap for making this as a shared resource in the cloud is still at preliminary level and still limited to many real life problems like plant disease detection at a grass root level. Timely information to farmers about diseases is still a great bottleneck for farmers. Due to this, farmers pour many rounds of pesticides to prevent their crops from diseases. But due to lack of proper ICT, farmers are not informed properly about their crop diseases which result in high loss to ecological balance and community people. Thus, to solve the problem of delayed updation about their crop diseases to farmers, GPU processing is used instead of Normal CPU processing on the cloud. This research paper focuses on the applications of GPU Computing within cloud and to study the performance of GPU image processing and Normal CPU image processing with respect to plant disease detection framework. This paper also addresses the problem of throttling in normal CPU when used for large datasets. GPU processors had shown a four-fold increase in performance as compared to normal datasets. GPU results shown 63 times faster as compared to normal CPU for analyzing 52,486 images of healthy and diseased leaf images. This include 16 plant types and 55 leaf diseases. 10 30 2019 3139 3141 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9541.109119 https://www.ijeat.org/portfolio-item/a9541109119/ Department of Information Technology, Hindustan Institute of Technology & Science,Chennai. A. Kumaresan M. Suresh Anand Department of Computer Science Engineering, Sri Sairam Engineering College, Chennai. K.Deepak Keshav Department of Computer Science Engineering, Sri Sairam Engineering College, Chennai. G. Karthikeyan Department of Computer Science Engineering, Sri Sairam Engineering College, Chennai. B. Vigneshwaran Department of Computer Science Engineering, Sri Sairam Engineering College, Chennai. In order to detect and correct the posture we developed a wearable garment integrated device to sense the posture of the user and analyze the posture within the device to alert the user remotely. Further the posture data are sends to the server to analyze the data in detail. Device contains the accelero-meter sensor to detect the angle of the user. From the angle the posture is calculated using the microcontroller in the device. The posture is analyzed and if bad posture is detected then the buzzer sensor present in the device alert the user to correct the posture. The bad posture data are sends to server through the wifi module present in the device. The data are stored in the database along with time, date and device id. The month wise statistical graph is developed from the data in the database. Daily analyzes of the posture data is done to provide the average posture of the user and worst posture of the user. The report of the analyzed data can be generated in the website through user authentication. 10 30 2019 3142 3145 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9662.109119 https://www.ijeat.org/portfolio-item/a9662109119/ Research Scholar, Department of Computer Science & Engineering, School of Engineering & Technology, Suresh Gyan Vihar University, Jagatpura, Jaipur. Markad Ashok Vitthalrao* Dr. Mukesh Kumar Gupta Principle, Department of Computer Science & Engineering, School of Engineering & Technology, Suresh Gyan Vihar University, Jagatpura, Jaipur. Software vulnerability is most common issues in software engineering, many applications has suffering vulnerability, information leakage, and data hijacking such kind of problems facing since couple of years. Sometimes developers should be making some mistakes during code making which generate vulnerability issues for entire application. In this research work, we carried out an approach to software vulnerability detection using deep learning approach behalf of metadata processing. The system carried software vulnerability detection based on the Deep Neural Network (DNN). a new dynamic vulnerability classification approach has suggested. The model basic build based on TF-IDF as well density based feature selection approach for DNN. basically TF-IDF has used to measured the frequency and weight of specific word of vulnerability description; the Vector Space Model (VSM) is used for feature selection to achieve an finest set of feature term, and; the DNN neural network model is used to built an dynamic weakness classifier to achieve effectiveness into the bug detection. The overall system has categorized into four phases in first phase we detect the code clone to eliminate the data redundancy and execution time complexity, in second we apply Vector Space Model (VSM) recommend the re-factor possibility in entire code while in third section we build DNN module for software vulnerability detection and finally recommend the vulnerability for entire code. The system partial implementation has evaluated in java environment which provide satisfactory results for heterogeneous code modules . 10 30 2019 3146 3150 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9746.109119 https://www.ijeat.org/portfolio-item/a9746109119/ Department of Computer Science, Chandigarh University, Chandigarh, India. Kumar Sanu* This paper is based on an approach to implement Binary Search in Linked List. Binary Search is divide and conquer approach to search an element from the list of sorted element. In Linked List we can do binary search but it has time complexity O(n) that is same as what we have for linear search which makes Binary Search inefficient to use in Linked List. The main problem that binary search takes O(n) time in Linked List due to fact that in linked list we are not able to do indexing which led traversing of each element in Linked list take O(n) time.In this paper a method is implemented through which binary search can be done with time complexity of O(log2n). This is done with the help of auxiliary array. Auxiliary array helps in indexing of linked list through which one can traverse a node in O(1) complexity hence reducing the complexity of binary search to O(log2n) hence increasing efficiency of binary search in linked List. 10 30 2019 3151 3153 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9775.109119 https://www.ijeat.org/portfolio-item/a9775109119/ Department of ECE, JNTUACEA, Anantapur, India. D. Lalitha Kumari* M.N. Giri Prasad Department of ECE, JNTUACEA, Anantapur, India. An arrangement of multiple antennas in both the receiver and transmitter called Multiple Input and Multiple Output (MIMO). The Orthogonal Frequency Division Multiplexing (OFDM) is enabled in MIMO system for high data wireless communications. Combination of both MIMO and OFDM Access (OFDMA) is a growing technology in next generation communication systems. In this work, the Bit Error Rate (BER) performance of MIMO-OFDMA is analyzed with Orthogonal Space Time Block Code (OSTBC), Maximum Ratio Combining (MRC) and Turbo coding scheme over flat fading channel are named as MIMO-MRC-OFDMA. OSTBC is a transmit diversity scheme, which is utilized for delivering an efficient transmission with high peak data rates that significantly improves the capacity of communication systems. Successively, the MRC diversity solves transmit and receive diversity from an OSTBC. MRC approach is applied in the receiving end for summing and weighing the received signals from the multiple paths. Besides, turbo coding scheme is utilized for error correction in a given code rate. The proposed system performance is evaluated in light of BER by varying the number of receive and transmit antennas such as 2×2, 2×4, 4×2 and 4×4. 10 30 2019 3154 3162 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9778.109119 https://www.ijeat.org/portfolio-item/a9778109119/ Department of Instrumentation and Control, College of Engineering Pune, Pune, India. Kalyani Bhole* Anesthesia is an imperative activity during operation. Anesthesiologist perceives patient’s physiology and adjusts the drug rate. Sometimes, it may go overdose or under-dose which is proscribed. This process is merely in need of an expertise which in turn, may not be available every time and everywhere. But we can store this expertise with the help of fuzzy inference system and utilize it to judge the depth of anesthesia. A genuine effort has been made to design a PID controller with fuzzy inference system as simple feedback to control intravenous anesthetic drug delivery. This paper demonstratesthe design and implementation of experts’ based system with PID controller and comparison of the same with open loop target controlled infusion and fuzzy inference system without a controller. The conclusion of this study is that the PID controller with fuzzy inference system as simple feedback gives fast response with no overshoot. Ultimate prototype is implemented on Xilinx’s Spartan 3E Field Programmable Gate Array. 10 30 2019 3163 3168 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9859.109119 https://www.ijeat.org/portfolio-item/a9859109119/ computer Science, srm Institute Of Scince And Technology, Ramapuramcampus, Chennai A.Naga Harshita* Azhagiri M computer Science, srm Institute Of Scince And Technology, Ramapuramcampus, Chennai G.Sri Krishna Priya computer Science, srm Institute Of Scince And Technology, Ramapuramcampus, Chennai Khadijah S Sabu computer Science, srm Institute Of Scince And Technology, Ramapuramcampus, Chennai According to the Indian statistics, the stroke rate is higher compared to other countries. It is approximately 1.8 million Indians out of 1.2 billion Indians suffering from stroke every year. As a result of this brain cells get damaged which leads to paralysis. To help the stroke patients out of its researchers have found a solution by creating hand gestures that will help them perform daily functions easily. The gesture made by hand will be the input instead of a mouse or keyboard. The main aim is to read and detect the hand gestures by using high-resolution cameras and process the images using convolution neural networks by the process of edge detection. 10 30 2019 3169 3173 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9866.109119 https://www.ijeat.org/portfolio-item/a9866109119/ Department of Mathematics, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, *S Elizabeth Amudhini Stephen Emilin Renita Department of Food Processing and Engineering, Karunya Institute of Technology and Sciences, Coimbatore George Samuel Raj V Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore Basil Joseph Department of Food Processing and Engineering, Karunya Institute of Technology and Sciences, Coimbatore Ginger is outstanding for its therapeutic property and curd is expended for its probiotics properties. Utilizing these two fixings a hors d'oeuvre drink has been created and this item is advanced utilizing Response Surface Methodology. It gives 77 kCal per serving of 100ml when the hors d'oeuvre blends with virus water. For making dry starter crisp curd is supplanted by curd powder. The item as a rule has a timeframe of realistic usability of a half year in encompassing condition. Utilizing the Response surface approach advancement of this canapé demonstrates a most extreme causticity score of 2.38 % for ginger powder (2g-4g) , asafetida powder (200g - 500g) , salt (1g-2g) utilizing RSM(Box-Benhken strategy). In a comparable report, the worthiness score of the beverage is 7.0 to 7.8 utilizing Overall agreeableness score. 10 30 2019 3174 3176 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9872.109119 https://www.ijeat.org/portfolio-item/a9872109119/ Department of Mathematics, Karunya Institute of Technology and Sciences, Coimbatore M. Selvarathi *S.Elizabeth Amudhini Stephen Department of Mathematics, Karunya Institute of Technology and Sciences, Coimbatore, Bazil Wilfred. C Department of Mathematics, Karunya Institute of Technology and Sciences, Coimbatore Ramya R Department of Food Processing and Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India Rice legume blends were used for the formulation of an extruded product. Response surface methodology (RSM) being a statistical technique was used to evaluate the effect of cowpea (0-20%), groundnut or peanut (0-10%), and feed moisture (14-48%) levels on quality response (moisture of product, ratio of expansion, bulk density, color) of the extruded product. Responses were formulated by box behnken method. Responses were affected most by changes in legume addition and feed moisture. The optimum condition was estimated as level of cowpea 10.64%, level of groundnut 4.14% and level of feed moisture 35.42%. 10 30 2019 3177 3180 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9873.109119 https://www.ijeat.org/portfolio-item/a9873109119/ Assistant Professor, Department of CSE, Sri Krishna College of Technology, Coimbatore, TamilNadu, India, J.Beschi Raja* R. Anitha* Assistant Professor, Department of CSE, Sri Krishna College of Technology, Coimbatore, TamilNadu, India, R. Sujatha Assistant Professor, Department of CSE, Sri Krishna College of Technology, Coimbatore, TamilNadu, India, V. Roopa, Assistant Professor, Department of IT, Sri Krishna College of Technology, Coimbatore, TamilNadu, India S.Sam Peter Assistant Professor, Department of CSE, Sri Krishna College of Technology, Coimbatore, TamilNadu, India Diabetes is one of the most common disease for both adults and children. Machine Learning Techniques helps to identify the disease in earlier stage to prevent it. This work presents an effectiveness of Gradient Boosted Classifier which is unfocused in earlier existing works. It is compared with two machine learning algorithms such as Neural Networks, Radom Forest employed on benchmark Standard UCI Pima Indian Dataset. The models created are evaluated by standard measures such as AUC, Recall and Accuracy. As expected, Gradient boosted classifier outperforms other two classifiers in all performance aspects. 10 30 2019 3181 3183 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9898.109119 https://www.ijeat.org/portfolio-item/a9898109119/ Research Scholar,AssistantProfessor,Department of BCA, Sri Krishna Arts And Science College. J. Joselin* V.S.Anita Sofia Research Scholar, Assistant Professor, Department of BCA, Sri Krishna Arts And Science College. In the recent field of research the wireless sensor network plays an important role. Wireless sensor network is an important technology in this era. A Wireless Sensor Network (WSN) is a distributed network contains enormous sensor nodes with wide range of application. It transmits unlimited and enormous data like image, video, audio and data through end to end network. WSNs offer much solution to remote real time monitoring, recognition of physical occurrence and target tracking applications. This network growth is increasingly rapidly day by day and made the research field in difficult resurgence. The extended network lifetime, effective load balancing and scalability are essential for WSNs. The life time of the wireless network can be extended by the concept of clustering .Clustering is process of grouping the smaller localized networks in highly structured way. Diverse cluster technology available based on the network the clustering concept will be used. Efficient routing algorithm provide the way for efficient usage of bandwidth and reduce the delay in the network . This paper provides the survey of clustering and routing protocols to improve the efficiency in wireless technology in recent years 10 30 2019 3184 3187 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9975.109119 https://www.ijeat.org/portfolio-item/a9975109119/ Faculty of Information Technology Engineering, Universiti Teknikal Malaysia Melaka, Malaysia. Kasturi Kanchymalay* N. Salim Faculty of Engineering, School of Computing, Universiti Teknikal Malaysia Melaka, Malaysia. Ramesh Krishnan Faculty of Business & Management, Universiti Teknologi MARA, Malaysia. In field of agro economic, Crude Palm Oil (CPO) price forecasting is still heavily relies on human expertise. This paper proposes a CPO price forecasting model to assist the palm oil plantation organization in anticipating more effectively monthly fluctuations and manage the supply and demand efficiently avoid problems of price going very low. The parameters used by the predictor consist of weather variables, namely, temperature, rain amount, pressure, humidity and radiation as well as past CPO price. CPO price for past 10 years collected from MPOC and the environmental parameters collected from meteorology department of Malaysia during the period 2005 to 2016, were used to model CPO price using a Long-Term Short Memory Network (LSTM). Our results showed that the LSTM model predicted monthly fluctuations of the price with an average accuracy of 90%. The contribution suggests that the LSTM based forecasting could assist worldwide palm planters in decision making on palm oil crop management and operation processes. 10 30 2019 3188 3192 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9994.109119 https://www.ijeat.org/portfolio-item/a9994109119/ Associate Professor, CSE- AIT, Chandigarh University, Gharuan, Mohali, Punjab, India. Rajiv Kumar* Rapid urbanization poses challenge to the maintenance agencies in monitoring and maintaining city-wide services. Traditional ways, to monitor the services, involve huge manpower and time. Technical revolutions opens up smarter ways of monitoring the civic services with the use of miniature sensors embedded in smart devices and potentially covers wider area. Over the past decade, the smart city concept has emerged as a potential research area where many devices work in a network and has been applied as city-wide smart monitoring technique. In this paper, author has highlighted the use of mobile crowd sensing though smart phones to devise civic infrastructural monitoring application specifically for monitoring street lights conditions and generating heat maps accordingly. A client-server based mobile crowd sourcing framework has been proposed where the client represents smart phones equipped with devised phone application to crowd sense data and the open-source server is used for data analysis and distribution of results. The framework works in sequential manner with three key modules i) data harvesting, ii) analyze and iii) visual reporting module. Smartphones are used to harvest city-wide contextual data and transfer it to the server. Effective measures to protect privacy of the user have been applied during data harvesting. Server analyzes the harvested data and retrieves useful metrics as computed luminous index which are communicated back to clients (phones) as heat maps visualized on Google® maps. The proposed mobile crowd sourcing framework helps in quick data sensing and spotting the poor street light conditions. The resulted maps potentially disseminate the information to the city residents and the administration to respond accordingly. Whether there is need to install more street lamp posts or to repair the malfunctioning lamp post. A better lighting condition in the streets enhances the visibility and thus the safety of the residents, as the dark areas are prone to accidents or promotes crime. 10 30 2019 3193 3199 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F7961.109119 https://www.ijeat.org/portfolio-item/f7916088619/ Electronics and Communication Engineering, Sreenidhi Institute of Science and Technology affiliated to Jawaharlal Technological University, Hyderabad-501301, Telangana State, India. Pamuleti Challa* Lal Kishore Kondepudi Electronics and Communication Engineering, Formerly Vice-Chancellor, Jawaharlal Technological University, Anantapur, Andhra Pradesh, India. Satyam Mandavilli Electronics and Communication Engineering, Formerly Professor, Indian Institute of Science, Banglore, India. This paper describes a novel methodology for designing a MEMS (micro electromechanical systems) triode switch made up of a cantilever for a given set of performance parameters viz minimum pull-in voltage, on-time and off-time. These performance parameters are associated with MEMS triode switch structural parameters such as length, width, thickness, cross sectional area, initial gap between the electrodes and are found using MATLAB. A relational database using MS Access is created with the performance parameters and corresponding structural parameters. The switch(es) which satisfy the given specifications are retrieved based on data mining principle. An algorithm is written for mining the data from the database. A software package is developed for this algorithm in JAVA language for data mining. The designer can choose the switch(es) as per design constraints. This approach reduces the design cycle time of the MEMS triode switches. 10 30 2019 3200 3206 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F8250.109119 https://www.ijeat.org/portfolio-item/f8250088619/ Research Scholar, Department of Electronics and Communication Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab India Aakanksha Lakhanpal* Karmjit Singh Sandha Assistant Professor, Department of Electronics and Communication Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab India This paper explains the detailed structure as well as performance of DG-CNTFET (Double Gate Carbon Nanotube Field Effect Transistor) and its performance is compared with the DG-MOSFET (Double Gate Metal Oxide Semiconductor Field Effect Transistor). Various parameters like I-V characteristics, ON current, OFF current and ON to OFF current ratio have been evaluated using nano-TCAD ViDES. Also, the transport description of DG-MOSFET and DG-CNTFET has been described in detail. It has been observed that DG-CNTFET has lower OFF current and higher ON current in comparison to the DG-MOSFET. The higher ON current of DG-CNTFET depicts that it requires less time to turn on the device in comparison with DG-MOSFET. Also, OFF current of the DG-CNTFET is lesser as compared to MOSFET. The DG-CNTFET’s higher ON to OFF current ratio outperforms the DG-MOSFET in term of switching speed of the device. It is proposed that CNTFET can be used as an alternative of MOSFETs for high speed Integrated Circuit (IC) design. 10 30 2019 3207 3210 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F8445.109119 https://www.ijeat.org/portfolio-item/f8445088619/ Mechanical Engineering, Kongu Engineering College, Erode, India, Manivannan R* Moganapriya C Mechanical Engineering, Kongu Engineering College, Erode, India, Mohankumar A Mechanical Engineering, Kongu Engineering College, Erode, India, Rajasekar R* Mechanical Engineering, Kongu Engineering College, Erode, India, Varun Kumar G K Mechanical Engineering , Kongu Engineering College, Erode , India Welding is used to produce bonded joints with technical properties to the base material. The thermoplastic nanocomposites are more familiar in recent days due to their excessive automotive applications. The specimens were prepared by pure HDPE and various weight ratios HDPE with nanofiller composites by melt mixing method and required shape produced by using compression moulding. The nanofiller will be chosen in this study is Graphene oxide. The main scope of using Graphene oxide was to enhance the mechanical properties of the prepared specimens. In this work, Ultrasonic welding had been used to carry out the test on both pure HDPE and HDPE with grapheme oxide. Mechanical properties were analyzed for both pure HDPE and grapheme oxide filled HDPE of both body part and welded part joints are compared.The mechanical properties of tensile strength and youngs modulus and elongation of the body part for graphene oxide filled HDPE was substantially increased due to the presence of compatabilizer.Thus the result improves the weld strength of the nanofilled polymer matrix with compatabilizer 10 30 2019 3211 3215 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F8827.109119 https://www.ijeat.org/portfolio-item/f8827088619/ Dept. of. E.C.E, RGUKT, Nuzvid, A.P, India. Bharath Ganji* Riyaz Hussain Shaik Dept. of. E.C.E, RGUKT, Nuzvid, A.P, India. A defected dodecagonal microstrip antenna fed through co-planar waveguide and operating in X-band frequency range(8-12 GHz) is proposed. Characteristic mode analysis is employed in examining the impact of defects on the resonant frequencies and return loss. Contrast in return loss for the suggested antenna with and without defects is dealt through Characteristic mode Analysis. Geometrical aspects of the proposed antenna are 40 mm × 35.5 mm × 0.1 mm. Subtrate material used in design is FR4 with a dielectric constant (εr) = 4.4 and height (h) = 0.1m. CST Microwave Studio is used to simulate antenna parameters and Characteristic mode analysis. A return loss of -49.5dB at center frequency of 10.12GHz is observed with a fractional bandwidth of 47.6%. Gain of the antenna peaks at 4 dBi in the band of operation. 10 30 2019 3216 3220 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F9249.109119 https://www.ijeat.org/portfolio-item/f9249088619/ Institute of Industrial Policy and Institutional Development, Financial University under the Government of the Russian Federation Moscow, Russia. Yury S. Bogachev Pavel V. Trifonov* Department of Management, Financial University under the Government of the Russian Federation Moscow, Moscow, Russia. Maria A. Kirpicheva Department of Management, Financial University under the Government of the Russian Federation Moscow, Moscow, Russia Alexander I. Ivanus Department of data analysis, decision-making and financial technologies, Financial University under the Government of the Russian Federation, Moscow, Russia Astkhik A. Khachatryan Department of Management, Financial University under the Government of the Russian Federation, Moscow, Russia The paper substantiates the necessity of taking into account in the formation of the non-commodity model of the economy of the advanced development of the manufacturing industry as a driver of economic growth in Russia. To determine the conditions under which the manufacturing industry of Russia is a driver of economic growth. Research of economical and technological condition of Russia is carried out. Its comparison with the patterns of development of the manufacturing industry in the world economy shows the archaic nature of its technological structure. The directions of the advanced development of the manufacturing industry were determined, allowing it to generate synergistic effects for the development of the economy as a whole. Practical application of the research results will contribute to the validity of assessments of the effectiveness and sustainability of the sectoral complex of the country, and will allow to identify the potential opportunities and reserves for the development of industries and sectoral complexes based on the results of a multi-criteria evaluation, as well as minimize risks. 10 30 2019 3221 3224 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F9260.109119 https://www.ijeat.org/portfolio-item/f9260088619/ University Institute of Computer Applications, Chandigarh University, Mohali Dr Anand Kumar Shukla* Harmanjeet Singh University Institute of Computer Applications, Chandigarh University, Mohali, Now a days most of the persons doing their banking transactions, bill payments online through mobile app or web. Almost all the financial institutions are providing second layer of authentication by providing one time password while online transactions. But one the other hand in almost every mobile applications have the features to read your contacts, your locations, your messages not only read but they have the features to write the massages, write the contacts in your contacts list. Are these features really helps us? Are they really for our time saving? In this research article we will see the dark side of these features of our mobile applications. 10 30 2019 3225 3228 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F9264.109119 https://www.ijeat.org/portfolio-item/f9264088619/ Post graduation, department of computer science and engineering at Gokaraju Rangaraju Institute of Engineering and Technology(GRIET), Hyderabad, Telangana, India Ms. R. Shireesha Dr P Varaprasada Rao Professor in CSE, Gokaraju Rangaraju Institute of Engineering and Technology (GRIET), Hyderabad. Completed his PhD From JNTUK and M.Tech From Andhra University. The Google Play-the chief boundless computerization utility advertises in which rank maltreatment and malware appearance has multiplied quick. In this paper, we tend to present Fair play, an first rate device that unearths and pursues malware deserted by means of fraudsters. The proposed framework's point is to find malware and programs exposed to seek rank misrepresentation. Fair play associates audit physical games and unambiguously consolidates diagnosed audit relations with etymological and behavior signals acquired from Google Play utility statistics. Fair play accomplishes nice excellent level datasets of cross for expansive peruse through making use of a few technique to every software to test its positioning. Our want is to make a immaculate, misrepresentation less utility.Fraudsters make extortion by downloading application through various gadgets and give extortion evaluations and audits. Along these lines, we keep an eye on previously mentioned to mine critical data relating to explicit application through audits that are obtained from remarks. Afterward, these audits are joined to mine extortion in application positioning. 10 30 2019 3229 3231 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F9292.109119 https://www.ijeat.org/portfolio-item/f9292088619/ Department of Engineering, Ibri College of Technology, Ibri, Sultanate of Oman M. N. Zulfiqar Ahmed A. A. Jahagirdar Department of Chemistry, Dr. Ambedkar Institute of Technology, Bengaluru, India. H.M. Somashekar Department of Mechanical Engineering, Dr. Ambedkar Institute of Technology, Bengaluru, India. ZnFe2O4-ZnO nanopowder was synthesized by solution combustion method using zinc nitrate and ferric nitrate as oxidizers and oxalyl dihydrazide as fuel. The nanopowder was characterized by powder X-ray diffraction (PXRD), Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM) and Brunauer-Emmett-Teller (BET) surface area measurements. The nanopowder was used as adsorbent for the removal of the dye Amido Black 10B (AB 10) from its aqueous solution. The effect of dosage of the nanopowder and contact time was studied. The results indicated that the nanopowder acted as a good adsorbent for the removal of AB 10. More than 89% removal of the dye was achieved for a catalyst dosage of 0.8g of the nanopowder per liter of the dye solution. The optimum contact time was found to be 40 minutes. Adsorption isotherms and adsorption kinetic models were applied to the adsorption data to know the mechanism and kinetics of adsorption. The adsorption data fitted well for the Langmuir adsorption isotherm and followed pseudo-second order kinetics. 10 30 2019 3232 3238 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1123.109119 https://www.ijeat.org/portfolio-item/a1123109119/ Assistant professor at S.V. University College of Engineering, Tirupati. Dr i. Kullayamma Pudasani Sreenivasula Reddy Department of ECE, PG scholar, SVU College of Engineering, Tirupati, Andhra Pradesh, India Associated and self-determining vehicles will play a significant job in upcoming Smart Transportation. what're more, brilliant urban areas, as a rule. High_speed and low_latency remote correspondence connections will enable regions to caution vehicles against security risks, and additionally, bolster cloud_driving arrangements to radically diminish roads turned parking_lots and air trash. To accomplish these objectives, vehicles should be outfitted by an extensive scope of devices creating and switching extreme rate information flows. As of late, millimetre wave (mm-Wave) methods have been offered as a method for satisfying such necessities. In_this_paper, we show a_highway network besides describing its key connection spending measurements. Specifically, we particularly think about a system in which vehicles_are assisted by mm-Wave Base_Stations installed beside the road. To evaluate our road_way, arrange, we build up another hypothetical model that represents a run of the mill situation where overwhelming vehicles, (for example, transports and lorries) in moderate paths impede Line_of-Sight_(LOS) ways of vehicles which are in fast tracks and, thus, perform as jams. Utilizing instruments from stochastic_geometry, we estimate for the_Signal-to-Interference-plus_Noise Ratio_(SINR) outage_probability, and in addition, the likelihood which a user accomplishes an objective correspondence (rate_coverage probability). Our examination gives new structure bits of knowledge to mm-Wave highway communication networks. In thought about highway situations, we demonstrate that lessening the flat beam width from 90 degrees to 30 degrees decides a negligible decrease in the SINR outage probability. Additionally, not at all like bi-dimensional mm-Wave cell systems, for little BS densities. it is as yet conceivable to accomplish an SINR outage_probability littler. 10 30 2019 3239 3245 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1354.109119 https://www.ijeat.org/portfolio-item/a1354109119/ Research Scholar, Department of Computing Sciences and Engineering, Sandip University, Nasik. Kusum Lata* Sajidullah S. Khan Associate Professor, Department of Computing Sciences and Engineering, Sandip University, Nasik. Agriculture is the primary research study area in India as agriculture is the main source of income for various communities. In classification algorithm for agricultural dataset according to production, area, crop and seasons. Here, four classification algorithms are used with the help of WEKA tool. These algorithms are namely the present scenario, there is a call to renovate the enormous agriculture data into diverse technologies and make them accessible to the farmer for improved decision making. The endeavor of this work is to find out the finest Random Tree, J48, Bayes Net and KStar etc. The captured results revealed that Random tree algorithm performed well in terms of error rate and provides slightly better performance than KStar, Bayes Net and J48 classifiers. In this paper, our objective is to apply machine learning techniques to mine constructive information from the agricultural dataset to improve the crop yield prediction for major crops in Nashik district of Maharashtra. 10 30 2019 3246 3251 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F9308.109119 https://www.ijeat.org/portfolio-item/f9308088619/ Assistant Professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Ms. P. Adlene Ebenezer* Sweta Pasayat UG Scholar, B. Tech, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Sunny Sunan UG Scholar, B. Tech, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. To enhance the potency of knowledge looking out, most knowledge house owners store their knowledge files in numerous cloud servers within the kind of ciphertext. Thus, economical search victimization fuzzy keywords become a vital issue in such a cloud computing atmosphere. Searchable cryptography will support knowledge user to select and retrieve the cipher documents over encrypted cloud knowledge by keyword-based search. Most of the prevailing searchable encryption schemes solely specialize in the precise keyword search. When knowledge user makes writing system errors, these schemes fail to come to the results of interest. In searchable encryption, the cloud server may come to the invalid result to knowledge user for saving the computation price or alternative reasons. Therefore, these precise keyword search schemes notice very little sensible significance in real-world applications. So as to deal with these problems, we tend to propose unique verifiable fuzzy keyword search theme over encrypted cloud knowledge. We tend to propose a verifiable precise keyword search theme which extend this theme to the fuzzy keyword search theme. Here we tend to thus propose a system for fuzzy keyword sets rather than precise word search. This will help us drastically to reduce the costs and it also allows to have multi-users using the system simultaneously. 10 30 2019 3252 3257 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1416.109119 https://www.ijeat.org/portfolio-item/a1416109119/ Department of Electronics & Communication Engineering, ATME College of Engineering, Mysuru, India. Prajwalasimha S N* Aishwarya V Kumar Department of Electronics & Communication Engineering, ATME College of Engineering, Mysuru, India. Arpitha C R Department of Electronics & Communication Engineering, ATME College of Enginnering, Mysuru, India. Confusion and diffusion are the frequently used embryonics in multimedia (image) encryption systems. Multimedia data protection against cryptanalysis can be effectually fortified by these techniques. Due to inherent properties of images such as high inter-pixel redundancy and bulk data capacity, encryption is performed in two stages: Confusion and Diffusion. In this article, a combined Pseudo Hadamard transformation in the confusion stage and Gingerbreadman chaotic substitution in the diffusion stage are used in the encryption phase of the algorithm. The strong correlation between contiguous elements in the host image is effectually reduced using Pseudo Hadamard transformation and entropy in the cipher image is enhanced using Gingerbreadman chaotic substitution. Secrete key length used in the algorithm is 128 bits, these are the initial conditions for Gingerbreadman chaotic generator. The elements of S-box in the substitution stage are considered from this random sequence generator. Experimental exploration including information entropy, correlation analysis, sensitivity analysis, key space analysis and computational complexity have been performed on set of standard images. Results obtained are better compared to many existing systems. 10 30 2019 3258 3263 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1422.109119 https://www.ijeat.org/portfolio-item/a1422109119/ Research Scholar, Bharathiar University, Coimbatore, India. T.H. Manoj* M. Gunasekaran Assistant Professor of Computer Science, Government Arts College, Dharmapuri, India W. Jaisingh Assistant Professor (SRG) of Computer Applications, Kumaraguru College of Technology, Coimbatore, India. Classification process plays a key role in diagnosing brain tumors. Earlier research works are intended for identifying brain tumors using different classification techniques. The logical gap between the visual representation of data captured by MRI device and the information apparent to the person evaluating poses a key challenge in the medical field. Research in computerized segmentation of tumor is widely gaining popularity nowadays, which may lead to an accurate analysis of MRI images and planned treatment of patients. The recent field of deep learning and neural networks promises to classify images with higher accuracy. This work proposes a new BrainNet classification technique that combines fuzzy c means, morphological operators and CNN to identify image regions that are suspicious. The proposed method is assessed with the help of imaging data obtained from Multimodal Brain Tumor Image Segmentation Challenge (BRATS) 2015 and IXI dataset. The effectiveness of the proposed method is computed with traditional machine learning and Convolutional Neural Networks. Experimental results show that our proposed method outperforms state-of-the-art classification on the BRATS 2015 dataset. 10 30 2019 3264 3269 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1424.109119 https://www.ijeat.org/portfolio-item/a1424109119/ Mechanical Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah. Tajul Adli Abdul Razak* Aisyah Nasuha Mohd Noor Student, Bachelor of Engineering Technology (Hons) in Mechanical Design, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah. Mohamad Yusuf Razak Head of Workshop Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah. Mohd Riduan bin Ibrahim Manufacturing Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah. Nurhuda Binti Ismail Lecturer, Politeknik Tuanku Sultanah Bahiyah, Kulim Hi-Tech Park, 09000, Kulim, Kedah. Pranesh Krishnan Intelligent Automotive Systems Research Cluster, Electrical Electronic and Automation Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah This project titled Preliminary Design And Packaging Of Two Passenger Micro-Electric Vehicle focusses on the 5th percentile for women and the 95th percentile for men drivers. A micro electric vehicle (MEV) is a vehicle controlled by an electric engine, rather than an inside ignition motor. This project produces packaging design of two passenger MEV according to the Economic Commission of Europe (ECE) regulation and purpose for 3D modeling. There are two software of CAD has been made by using this project which is Solidworks and Catia. The sizing of manikin has used the sizing of United Kingdom to follow the requirement of ECE regulation. Meanwhile, to calculate the posture of manikin is used concept RULA and REBA. The sizing of height structure was added because of the 95th men driver can’t enter the car. 10 30 2019 3270 3273 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1433.109119 https://www.ijeat.org/portfolio-item/a1433109119/ Mechanical Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah. Tajul Adli Abdul Razak* Mohd Aizat Zawani Student, Bachelor of Engineering Technology (Hons) in Mechanical Design, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah. Muhamad Husaini bin Abu Bakar Head of Research and Innovation Section and Director of Systems Engineering and Energy Laboratory, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah Shahril Nizam Mohamed Soid Mechanical Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah. Nurhuda Binti Ismail Lecturer, Politeknik Tuanku Sultanah Bahiyah, Kulim Hi-Tech Park, 09000, Kulim, Kedah. Pranesh Krishnan Intelligent Automotive Systems Research Cluster, Electrical Electronic and Automation Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah An understructure platform is also called underbody platform where is a platform that can be divided into three sections which are the rear section that is designed support for the steering system. The mid-section is the main structure of the vehicle that will be a structure protected the battery of the EV and also support the full weight of the passenger and some other components. The rear component is the support for the drivetrain system. 10 30 2019 3274 3278 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1434.109119 https://www.ijeat.org/portfolio-item/a1434109119/ assistant professor at the Department of Computer Science, SRM Institute of Science and Technology, Ramapuram Mrs. Baby D. Dayana S. Nishanth student at the Department of Computer Science, SRM Institute of Science and Technology, Ramapuram . A.D. krishna student at the Department of Computer Science, SRM Institute of Science and Technology, Ramapuram R.D. Nitish student at the Department of Computer Science, SRM Institute of Science and Technology, Ramapuram The n paper-ballot voting system and Electronic voting machines (EVM’s) has provided long term trust among the various places in the world for the purpose of voting. But each of the systems have their own flaw. Introduction of Blockchain for the purpose of Voting can be a remarkable change in the voting system which will be trusted globally. This Paper discusses about casting vote on a blockchain which improves the efficiency of the voting process and also the security of the vote which has been cast by the citizen. 10 30 2019 3279 3282 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1441.109119 https://www.ijeat.org/portfolio-item/a1441109119/ Electronics and Telecommunication, Bharati Vidyapeeth’s College of Engineering For Women, Pune, India. Dhore Payal* Prof. Dr.Rajbhoj Sushilkumar Electronics and Telecommunication, Bharati Vidyapeeth’s College of Engineering For Women, Pune, India. This paper gives monitoring of health of user done remotely using fitband. It can done remotely with the help of bluetooth. The system takes the user data and analyze the data. The system also recommend the user if unusual activity is found out. With the help of DHT11 the system measures sweat and temperature of user’s body. With the help of accelerometer ADXL335 step count is counted. With the help of step count, distance travelled and calories burnt can be easily calculated. All these data is then transferred to application which is built in mobile terminal. Mobile terminal and fitband is connected through wirelessly using bluetooth. 10 30 2019 3283 3285 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1445.109119 https://www.ijeat.org/portfolio-item/a1445109119/ FGBOU VO «Mordovia state university named N. P. Ogareva», Saransk, Russia Alexsandr Pavlovich Eryashev Oleg Alekseevich Timoshkin FGBNU FNTS LK «Penzenskiy ISKH – filial FGBNU Federal'nyy nauchnyy tsentr lubyanykh kul'tur» Penza, Lunino, Rossi The research was aimed at scientific substantiation of the possibility to reach high productivity of fodder galega due to the use of plant protection products and the Albite growth regulator, and their effect on the fodder quality. To achieve this goal, the effect of these factors on the yield of green mass and dry matter, on the collection of gross energy, metabolizable energy of feed units, and digestible protein was studied in 2012 – 2014 during the field experiments and in laboratory studies. As a result of the studies, it has been found that galega had the greatest yield of dry matter, metabolizable energy, energy feed units, and digestible protein on the nonpesticide background with plants double sprayed with Albite, and on the pesticide background — in the phase of spring aftergrowing and budding. Prevailing accumulation of crude protein and calcium in the green mass was on the nonpesticide background with double spraying with Albite; of crude fiber — on the pesticide background in the phase of spring aftergrowing; of crude ash — in the phase of seedling + budding; and of crude fat — without introducing any growth regulator. Plant protection products and Albite did not significantly increase the concentration of nitrogen-free extractives (NFE) and phosphorus. The studied factors did not affect the content of gross energy (GE), metabolizable energy (ME) and energy feed units (EFU) in 1 kg of dry matter of galega green mass, and did not increase the concentration of digestible protein in EFU. 10 30 2019 3286 3292 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1446.109119 https://www.ijeat.org/portfolio-item/a1446109119/ Department of Electrical Engineering, Government engineering college, Aurangabad, India. Kirti R. Waghare* Dr. N. R. Bhasme Department of Electrical Engineering, Government engineering college, Aurangabad, India. Incredible growth in demand for electricity with reliable, eco-friendly and efficient power has motivated the use of Distributed Generation (DG) all over the world. The problems associated with distributed generation system is unintentional islanding which causes power quality issues in the grid. During islanding operation, renewable energy sources such as solar, wind are used as distributed generation sources, supplies power to the local area. Islanding detection can be divided into remote and local methods; the later method is again classified into passive and active methods. In this paper, Passive technique is used for detecting the islanding condition which is carried out by controlling parameters like voltage and frequency. This is modeled and simulated in MATLAB/Simulink software. 10 30 2019 3293 3297 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1448.109119 https://www.ijeat.org/portfolio-item/a1448109119/ Federal State Budgetary Educational Institution of Higher Professional Education “Vologda State Dairy Farming Academy named after N.V. Vereshchagin”, Vologda, Russia. Andrey Leonidovich Kryazhev Artyom Sergeevich Novikov Federal State Budgetary Educational Institution of Higher Professional Education “Vologda State Dairy Farming Academy named after N.V. Vereshchagin”, Vologda, Russia. The paper presents the results of an epizootiological study of pig cryptosporidiosis in the Northwestern region of the Russian Federation using the example of the Vologda Region. It has been established that cryptosporidiosis in pigs is accompanied by the signs of diarrhea, anorexia and dehydration; it inhibits and reduces body weight gain and causes the death of animals. Cryptosporidiosis has a pronounced seasonal dependence: the peaks are in autumn and spring. Sucker piglets are most susceptible to the infection during the first month of age, especially during the first two weeks of life. Often, Cryptosporidium infection occurs in association with other parasitic intestinal protozoa. 10 30 2019 3302 3307 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1454.109119 https://www.ijeat.org/portfolio-item/a1454109119/ Facultad de Arquitectura, Diseño y Urbanismo, Universidad Autónoma de Tamaulipas, Tampico, México. Edgardo Suárez-Domínguez* In this work, we propose a model for the description of the surface morphogenesis of a dispersed system of the solid-solid type. To obtain the model, stochastic formalism based on the master equation and the principles of fractal geometry was applied, so that the surface morphology is characterized by the fractal dimension and the roughness exponent, which are expressed as a function of the composition of the dispersed system and the dynamic parameters associated with surface formation. Theoretical results obtained were compared with experimental results, finding that the variable that shows a significant effect on the morphology of the surface of the solid-solid dispersed system is the specific surface area of the particles of the dispersed phase found in the surface, as predict theoretically. 10 30 2019 3308 3313 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1455.109119 https://www.ijeat.org/portfolio-item/a1455109119/ Research Scholar, Department of Mechanical Engineering, ATME College of Engineering, Mysore, Karnataka, 570028, India Ravichandran G* Rathnakar G Professor & HOD, Department of Mechanical Engineering, ATME College of Engineering, Mysore, Karnataka, 570028, India. Santhosh N Assistant Professor, Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Mysore Road, Bengaluru, Karnataka, 560074, India. Thejaraju R Assistant Professor, Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Mysore Road, Bengaluru, Karnataka, 560074, India. Polymer nanocomposites containing various types of reinforcements and fillers are oftenly used in applications such as sliding elements in the machine and automotive parts, gear assemblies etc., in which tribological performance parameters viz. friction and wear are the major issues. In this work, the specific wear rate of HNT filler loading (0-4wt %) in Glass-Epoxy nanocomposites fabricated by vacuum bagging technique are evaluated experimentally. For this purpose, the specimens are prepared and tests are conducted as per the ASTM G-99 standard for a number of trials with the assistance of a pin-on-disc machine by varying load and speed values, keeping time and track diameter constant. The results obtained from experiments reveals that reduction in specific wear rate and the amount of material loss is quite significant for HNT loaded specimens when compared with neat sample even at higher operating conditions. This indicates that HNT comprises of hard ceramic elements viz. SiO2 and Al2O3 which eventually enhances the antiwear behaviour of prepared nanocomposites. Finally, a study on wear mechanisms and morphologies are carried out by analyzing the worn surfaces through SEM micrographs. 10 30 2019 3314 3321 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1469.109119 https://www.ijeat.org/portfolio-item/a1469109119/ Russian State Social University (RSSU), Moscow, Russian Federation. Natalya Aleksandrovna Savtsova* Renata Romanovna Lenkovskaya Russian State Social University (RSSU), Moscow, Russian Federation. Alla Andreevna Neznamova Russian State Social University (RSSU), Moscow, Russian Federation. The article deals with the features of operation of professional liability insurance fund in the tourism services industry. The authors review the foreign countries’ practice and the Russian practice on travel insurance for tourists. Particular attention is paid to insurance activities of famous foreign assistance companies. The references to overseas experience for national insurance companies are made. Statistical data concerning the tourists travelling through Europe and their requests of insurance products. The authors point out that tourists’ low-level awareness characterizes the domestic travel insurance in Russia. The most significant provisions of amendments of the Law on the framework of tourism containing the new approach to respect for the tourists’ rights in overseas trip insurance are examined. 10 30 2019 3322 3325 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1485.109119 https://www.ijeat.org/portfolio-item/a1485109119/ Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia Bambang Leo Handoko* Wishnu Kameshwara Armand Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia Ari Tihar Marpaung Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia Syntia Yohana Maria Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia Cases of financial statement fraud today are increasingly prevalent. Cases of this type of fraud result in material losses that are not insignificant. Many investors and creditors as well as the general public are victims of this type of fraud. Not only in European and US countries, in Indonesia there are also many cases of fraudulent financial statements. Financial statement fraud can occur due to many things. This study aims to analyze the effect of financial liquidity, audit rotation and audit tenure on financial statement fraud. Population determined is a manufacturing company with a food and beverage subsector listed on the Indonesia Stock Exchange period 2013-2018. The sample selection is done by purposive sampling technique, the sample results that meet the criteria are 78 samples. The research method used is multiple linear methods, where the results of the research partially show that the liquidity financial variable does not significantly affect fraudulent financial statements, variable audit rotations significantly influence fraudulent financial statements, and variable audit tenure does not significantly influence financial statement fraud. 10 30 2019 3326 3331 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1487.109119 https://www.ijeat.org/portfolio-item/a1487109119/ Department Civil Engineering, Centurion University of Technology and Management, Odisha, India. Suman Kumar Behera* Siba Prasad Mishra Department Civil Engineering, Centurion University of Technology and Management, Odisha, India. Sagarika Panda Department Civil Engineering, Centurion University of Technology and Management, Odisha, India. Mohammed Siddique Department Mathematics, Centurion University of Technology and Management, Odisha, India The vertical growth of multi storied buildings has become requisite considering limitations on housing area and upsurge in population growth. Cities with population density >10000 person/Km2may go for high rise buildings. Multiple cases of foundation failure have been observed around the globe due to incompetent soil, weak foundation, poor building materials, faulty workmanship, excess superimposed loading, want of geotechnical investigations, and failure analysis. The analysis and design of multistoried buildings [minimum G +3]is of demand in urban and economically sound areas. The STAAD. Pro is an efficient tool adhering to IS specifications for design of structures by limit state design to avoid erroneous computations, cumbersome and time consuming processes of manual calculation in India. The software is user interface to visualize, analyze and design structures by radical finite element technique and has dynamic analysis abilities. The present work is a 3-D RCC frame having 4 bays x5m along x-direction and 3 bays x5m in z- direction were taken where each floor has 299 beams and 40umns at different elevations in each floor subjected to dead, live , wind and seismic loads as per Indian beneath different load arrangements, considering structural safety under minimum requirements. The perception levels against vibrations and different foundations against failure (especially pile foundation) is stressed for a safe, comfortable multi storied building in Indian soil. 10 30 2019 3332 3342 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1495.109119 https://www.ijeat.org/portfolio-item/a1495109119/ Research Scholar, Department of Computer Science and Engineering,St.Peters Institute of Higher Education and Research, Avadi, Chennai. R. Mohanraj* Dr.S. Anbu Professor, Department of Computer Science and Engineering, Peri Institute of Technology,Avadi, Chennai. Network Security is an important aspectin communication-related activities. In recent times, the advent of more sophisticated technologies changed the way the information is being sharedwith everyone in any part of the world.Concurrently, these advancements are mishandled to compromise the end-user devices intentionally to steal their personal information. The number of attacks made on targeted devices is increasing over time. Even though the security mechanisms used to defend the network is enhanced and kept updated periodically, new advanced methods are developed by the intruders to penetrate the system. In order to avoid these discrepancies, effective strategies must be applied to enhance the security measures in the network. In this paper, a machine learning-based approach is proposed to identify the pattern of different categories of attacks made in the past. KDD cup 1999 dataset is accessed to develop this predictive model. Bat optimization algorithm identifies the optimal parameter subset. Supervised machine learning algorithms were employed to train the model from the data to make predictions. The performance of the system is evaluated through evaluation metrics like accuracy, precision and so on. Four classification algorithms were used out of which, gradient boosting model outperformed the benchmarked algorithms and proved its importance on data classification based on the accuracy obtained from this model. 10 30 2019 3343 3349 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1498.109119 https://www.ijeat.org/portfolio-item/a1498109119/ Assistant Professor, Department of Mechanical Engineering, Kongu Engineering College, Erode, Tamil Nadu. D. Suresh* Dr.A. Sivakumar Faculty of Mechanical Engineering, Kongu Engineering College, Erode, Tamil Nadu. Project management is a strategy implemented in service and manufacturing sector organisations to manage the effective completion of a project. The successful running of an organization, i.e. the organizational performance and timely achievement of goals depends on the effective project management. Schedule management is a process of controlling, scheduling, and monitoring the entire working process of an organization. Thus, it is relevant to have efficient schedule management plan implemented in the organization to have effective project management. This study aimed to check the impact of schedule management planning on project management effectiveness. A close ended questionnaire is used as a tool to collect the data on the perception of 208 employees about relevance of schedule management planning in their project management strategy. The analysis shows that factors affecting schedule management plan does have a significant and positive impact on project management effectiveness. The findings of this study can be used by organisations, particularly in the manufacturing sector, to correctly identify the project management parameters that require more attention and utilize schedule management planning to enhance the effectiveness of their operational processes. 10 30 2019 3350 3355 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1515.109119 https://www.ijeat.org/portfolio-item/a1515109119/ Department of Mechanical Engineering, Malla Reddy Engineering College (Autonomous), Hyderabad, Telangana 500100, India. T. Naresh Kumar A.K. Saravanan Department of Mechanical Engineering, Rajalakshimi Institute of Technology, Chennai India S. Shylin H. Jose. Department of Mechanical Engineering, Adhiyamaan college of Engineering, Hosur-635109, India. L. Ravikumar Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai *M. Sudhakar Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai This paper portrays the strategy for upgrading the vitality and solidness attributes of wooden and diverse wood basically based glulam frameworks. The need for fortifying structures - timber frameworks comprehensive – is because of weakening through additional transporter use, age and the need for economical advancement done by utilizing turning away destruction and re-creation. Fortified FRP Composite substances were shown to be a viable chance to regular steel plate reinforcing techniques for solid frameworks from results of a determination of scientists during the last two numerous years; this paper investigates utilizing this material for same fortifying reason in timber structures. The sum total of what examples had been inspected underneath 4 factor bowing at a stacking addition pace of 0.5kN, the horizontal diversion had been recorded much of the time. The information preparing comprised of burden, diversion and second shape plots creation which were then utilized for assessment and perceptions. 10 30 2019 3356 3358 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1516.109119 https://www.ijeat.org/portfolio-item/a1516109119/ Department of Mechanical Engineering, Easwari Engineering College (Autonomous), Chennai *G. Yuvaraj G. Ramakrishnan Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai T. Elayaraja Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai G.V.Ragul Srinivasan Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai T. Hariharasudhan Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai Polymeric substances fortified with engineered strands like glass, carbon, and aramid give addition of over the top firmness and vitality to weight proportion when contrasted with ordinary substances like wooden, concrete and numerous others. In spite of those favors present day examines are occurring inside the territory of home grown composites because of low primer cost and accessibility of simplicity. Hand arrangement approach is utilized for setting up the examples, with different weight division of bi-directional glass fiber. The proportion of filler is fixed with/without 10 wt.- %. Examples were cut from the created overlay with regards to the ASTM norms for various tests. The precise experimentation prompts self discipline of good estimated way parameters and texture factors that dominatingly impact the harm charge. It has been found that put on rate lower with developing fiber weight rate. Mechanical homes of composites are increments with development of fiber stacking. The mechanical and wear conduct of stuffed composites is more noteworthy propelled then unfilled composites. 10 30 2019 3359 3362 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1517.109119 https://www.ijeat.org/portfolio-item/a1517109119/