-74813b3e17f460286df30c1 20220719010649451 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 11 30 2019 9 1 Assistant Professor, Department of Electronics and Communication Engineering, Providence College of Engineering, Chengannur, Kerala, India. Kuruvilla John* Abhimanyu M B. Tech Student, Department of Electronics and Communication Engineering, Providence College of Engineering, Chengannur, Kerala, India. Rishi Raj B.Tech Student, Department of Electronics and Communication Engineering, College of Engineering, Chengannur, Kerala, India. Aravind M Pillai P.G Student in Embedded Systems, Confideration College, Canada. Shahana Samad Department of Computer and Science Engineering, Government Engineering College, Palakkad, Kerala, India. This paper details the development of a gesture recognition technique for car infotainment control. Nowadays, in highway due to heavy traffic or twist and turns along the road the drivers cannot afford to take their eyes of the road. One of the prominent human-machine interface (HMI) technology is gesture recognition. Gesture can be used in the automotive industry to provide a secure and luxurious control interface that will limit driver distraction. Human-machine interfaces permit working vehicle gadgets without changing the driver's consideration. A complete framework for controlling the infotainment hardware through hand motions is clarified in this paper. 11 30 2019 1268 1271 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3458.119119 https://www.ijitee.org/portfolio-item/L34581081219/ Assistant Professor, Department of ECE, GITAM (Deemed to be University) Visakhapatnam, India. B Kanthamma* Dr P.V. Sridevi Professor, Department of ECE, Andhra University College of Engineering, Visakhapatnam, India. The design and simulation of horizontally placed H-Shaped Fractal Antenna is presented in this paper using CST Microwave Studio simulation software and the excitation is provided by using Nickel material for feeding in Y direction, wave guide port feeding method is used.. The simulated result shows that by edge cutting the directivity increases, return loss is very less and the voltage standing wave ratio is nearly equal to unity as the number of iterations increases. In generating multiple frequencies., the horizontally placed H shape fractal structure is advantageous. This antenna can be used in the Wi-Fi due to its better performance in Return loss, VSWR and directivity. In this paper four stages of this antenna is designed and simulated, the third iteration of this antenna is fabricated for Return loss and VSWR. The observations are conducted on antenna parameters such as the return loss for the frequency of 9.5 GHz is -27.6 dB and observed nearly equal value for measured results. The VSWR of both simulated and measured results are also same. 11 30 2019 1272 1276 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3475.119119 https://www.ijitee.org/portfolio-item/L34751081219/ Research Scholar, PG & Research Department of Computer Science, Dr. Ambedkar Govt Arts College, University of Madras, Chennai, INDIA S. Ganesan* A. Murugan Associate Professor & Head, PG & Research Department of Computer Science, Dr. Ambedkar Govt Arts College, University of Madras, Chennai, INDIA In the computing theory, cache is key concept to process the in memory data from slow storage layer into faster. Key objective is to speed up the end user requests from cache storage. As cache is limited in size, it is essential to build the efficient algorithm to replace the existing unused content from faster memory. Enterprise Data Hub makes a single golden storage to produce any kind of reports at any point of time from the various sources of any system. Data integrity and governance parameters add the credibility to this centralized data. In general, Big Data processing uses the disk based technique to handles the business logic processing. This research paper is to leverage the in memory processing for the business use case of Enterprise Data Hub. This paper provides an algorithm to handle Enterprise Data Hub in efficient design using prioritized Least Recently Used algorithm. This paper depicts about the experimental advantage of execution time optimization and efficient page/cache hit ratio, using hybrid Least Recently Used algorithm with priority mechanism. It helps the industry Enterprise Data Hub for the faster execution model. 11 30 2019 1277 1281 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3489.119119 https://www.ijitee.org/portfolio-item/L34891081219/ Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India Dr. S. Beski Prabaharan* Dr. Saira Banu Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India Ms. Monika Sethi Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India The Metaheuristic Technique in Mobile Ad-hoc Network (MANET) is an experiment based model for improving lifetime of the MANET. This contribution proposes a Balanced Network Monitoring and Routing-Based on Ant Colony Optimization Technique (BNMR-ACOT) that enhances the lifetime of the network by providing a balanced selection of nodes during the routing process. Experiments were conducted with various parameters – packet delivery ratio, energy consumption of node and total overhead were compared with existing models with BNMR, which exhibits two times better route selection levels and twenty times faster route selection times. Node usage levels and randomization levels in the path selection component were observed to exhibit effective performances. 11 30 2019 1282 1289 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3492.119119 https://www.ijitee.org/portfolio-item/L34921081219/ Research Scholar, Vellore Institute of Technology, Chennai Campus (Tamil Nadu, India) Nandita Sikari* Dr. K. Harikrishnan Associate Professor, Vellore Institute of Technology, Chennai Campus (Tamil Nadu, India) Internet access is the course toward interfacing with the web using PCs, laptops and mobiles by customers and how internet works as reliable source to transact funds from one account to another or e-transaction on online purchase through EFTPOS. It depends upon internet speed and based on that how consumers trust online transaction while purchase called reliability on internet connectivity. Plastic money is a medium of cashless transaction where credit, debit, gift and, smart (EMV) cards etc. are considered to use in every day’s life to small scale businesses. Plastic money is used in purchasing any trading items instead of using paper currency which is not always available in any situation of one’s life. India is struggling with its acceptability only by showing 33.45% enhancement according to 2016-2017 data-bases. As of June 2018, there were 3.93 crore master cards and 94.4 crore Visa cards being used in India, which joins individual and corporate cards. The estimation of master and visa card trades in the extended length of June 2018 reached more ₹46,629 crore, almost increasing from a year earlier. Platinum card trades in the period went up by 33 percent to ₹3, 15,627 crores. This project proposal is to address the reason behind such diminished acceptability in India or its relatively high increment in comparison to the previous years’ database. The project also aims the effect of the industrialization of information technology (IT) on plastic money users in India. 11 30 2019 2022 2027 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3513.119119 https://www.ijitee.org/portfolio-item/L35131081219/ Faculty of Technology Management and Technopreneur, Universiti Teknologi Malaysia (UTM), 81310, Skudai Johor N., Omar A.* Ahamat S. Faculty of Technology Management and Technopreneur, Universiti Teknologi Malaysia (UTM), 81310, Skudai Johor Sidek Institute of Technology Management and Entrepreneur, Universiti Teknologi Malaysia (UTM), 81310, Skudai Johor Samer Ali Al-shami Institute of Technology Management and Entrepreneur, Universiti Teknologi Malaysia (UTM), 81310, Skudai Johor M. A. Aripin Faculty of Social Sciences and Humanities, School of Education,Universiti Teknologi Malaysia (UTM), 81310, Skudai Johor A., Mat Aris Faculty of Social Sciences and Humanities, School of Education, Universiti Teknologi Malaysia (UTM), 81310, Skudai Johor In Today’s Fast Paced Business World, The Ability To Achieve Work Life Balance (WLB) Is Becoming More And More Difficult As People Are Constantly Pushed To Work Faster To Cope With An Increasing Workload. This Paper Presents A Review Of The Challenges And Contribution (Benefit) Of Practice Work – Life Balance. Women Entrepreneurial Success In Their Life And Business Always Being Connected With The Excellent Management Of WLB. An Overview Of The Issues Surrounding Women Entrepreneur Development Draw To The Extension Of More Literature Reviews. Therefore, 34 Articles Have Been Selected And Analysed. There Was Found That Applying Of Work – Life Balance Was Increase Dual Earner For Family Economy And Improving Productivity In The Business. Meanwhile The Main Challenges Of WLB Implementation Among Woman Entrepreneurs Has Always Related To Time Management And Busy Schedule At Work Place. Based On The Issues Identified, Work – Life Balance Strategies Are Proposed To Increased Malaysian Woman Entrepreneurial Potential, Enhance Their Wellbeing In Life And Encourage Them To Part In Business. 11 30 2019 2028 2033 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3523.119119 https://www.ijitee.org/portfolio-item/L35231081219/ AP/CSE, Dhirajlal Gandhi College of Technology, Salem Mr.S.S. Aravinth* Dr.J. Senthilkumar Prof/IT, Sona College of Technology, Salem Dr.V. Mohanraj Prof/IT, Sona College of Technology, Salem Dr.Y. Suresh Prof/IT, Sona College of Technology, Salem The problem of exposure, which is associated with the quality of coverage, is a basic issue faced in wireless sensor networks. Search for the Minimum Exposure Path (MEP) is one among the crucial problems in Wireless Sensor Networks (WSNs). The exposure with respect to the MEP is one of the indicators used for measuring the coverage quality of a WSN, depicting the efficiency with which the monitoring of a mobile target is done all along the sensing field. The available hybrid technique does not have sufficient accuracy to get the MEP, which is too complicated, and is not suitable to networks having heterogeneous sensor nodes, or in large number, or an all-sensor field intensity function. In order to get over these problems, an Improved Artificial Bee Colony (IABC) model is introduced for the MEP problem associated with getting the optimal shortest path in this research work. The IABC model exhibits an extensive use of energy and data congestion will happen. In order to have an efficient resolution to the data congestion problem, Prim’s algorithm has introduced the link level congestion scenario. Also for effective solving of this issue, in accordance with the features of the node, a semi Hidden Markov Model is developed to solve the problem of energy efficiency in WSN model. A number of experiments were carried out, and the results show that the proposed model and the designed IABC can help in increasing the solution accuracy and can be useful to not just the heterogeneous sensors’ case but also the scenario in where there are a big number of sensor nodes and also an all-sensor field intensity function. 11 30 2019 1764 1771 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3552.119119 https://www.ijitee.org/portfolio-item/L35521081219/ Department of Civil Engineering, Institute of Aeronautical Engineering, Dundigal, Hyderabad. U. Mahesh Kumar* Suraj Baraik Department of Civil Engineering, Institute of Aeronautical Engineering,(autonomus), Dundigal, Hyderabad. Venu Malagavelli Department of Civil Engineering, Institute of Aeronautical Engineering, Hyderabad, India, As construction in India and other developing countries are increasing, the consumption of energy and resources are also increasing in same alarming way. Due to urbanization many industries are developed and the industrial wastage is also increasing day by day which is a serious concern to the environment. Many industries produce various end products, which may be used in construction industry at various places. So we focused on some of the waste materials which can be replaced in conventional concrete, and by then cost of construction can be reduced and is economical, also damage caused to the environment can also be reduced, at the same time landfills can also be reduced. So, we focused on reducing the virgin materials in concrete like cement, fine aggregate and coarse aggregate by replacing them with some waste materials which have same properties of cement, fine aggregate and coarse aggregate. The objective of the present work is to find out the effectiveness of fly ash, quarry dust and crumb rubber by replacing them in varied percentages. Here, cement is replaced by fly ash with percentages as 30%, 40%, 50%, 60% and quarry dust as fine aggregate with percentages of 20%, 30%, 40%, 50% along with crumb rubber as coarse aggregate with percentages as 5%, 10%, 15%, 20%. The results in this study have shown a gradual reduction of compressive strength as we kept on adding the crumbed rubber. Even though the strength obtained for 5% usage of crumbed rubber was quite satisfactory. 11 30 2019 1290 1294 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3568.119119 https://www.ijitee.org/portfolio-item/L35681081219/ CSE Department, Teegala Krishna Reddy Engineering College, Computer Science and Engineering, Telangana, India. K.Koteswara Chari* M.Chinna Babu CSE Department, Teegala Krishna Reddy Engineering College, Computer Science and Engineering, Telangana, India. Sarangam Kodati CSE Department, Teegala Krishna Reddy Engineering College, Computer Science and Engineering, Telangana, India. Diabetes has become a serious problem now a day. So there is a need to take serious precautions to eradicate this. To eradicate, we should know the level of occurrence. In this project we predict the level of occurrence of diabetes. We predict the level of occurrence of diabetes using Random Forest, a Machine Learning Algorithm. Using the patient’s Electronic Health Records (EHR) we can build accurate models that predict the presence of diabetes. 11 30 2019 1295 1300 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3595.119119 https://www.ijitee.org/portfolio-item/L35951081219/ Associate Professor & HOD, Dept. of Management Studies, Vignan’s Nirula, Guntur, A.P. Dr. E. Venu Madhavi* Dr. M.Srinivasa Sesha Sai Professor, Department of CSE, KKR & KSR Institute of Technology and Sciences, Guntur, A.P. Singareni Collieries Company Limited (SCCL) is the second largest coal mining company in India after Coal India Limited (CIL) with a total man power of 56,282 during 2016-17. It is a public sector coal mining company jointly owned by Telangana State Government (51 Percent share capital) and the Government of India (49 percent share capital). The company’s accredited function is to explore and exploit coal deposits in the Godavari Valley coal field area covering the four districts of Telangana State namely Adilabad, Karimnagar, Khammam and Warangal. The company markets its coal to diverse industries such as thermal power plants, cement, steel, paper, textiles, tobacco, ceramics, pharmaceuticals, distilleries etc. With spurt in industrial growth and the resultant increase in demand for electricity, the company has been playing a key role in the growth and development of the nation. Further, the new Electricity Act providing opportunities for independent power production and distribution, the demand for coal has increased phenomenally. In short, the demand for its coal is more than what it can supply to the market. Hence the company has to take measures to increase its coal production and productivity, which in turn to a large extent depends upon positive organizational culture. In a dynamic and changing environment, culture’s flexibility, adaptiveness and responsiveness create organizational capabilities. Organizational culture plays a vital role in the survival and success of organizations. Hence, the present article focuses on the perception of employees of SCCL on the Organizational Culture that is prevailing and whether the present Organizational culture is conducive to the productive performance or not. Certain Statistical tools like Chi-Square test, ANOVA and T-test have been applied to validate the perception of employees. 11 30 2019 1772 1775 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3603.119119 https://www.ijitee.org/portfolio-item/L36031081219/ Dean - Computer Studies, Dr.SNS Rajalakshmi College of Arts and Science (an Autonomous Institution), Coimbatore. Dr.V. Saravanan* Sathya Charanya.C Assistant professor, Department of computer science, Salem sowdeswari college, Self-financing courses wing, Salem- At present, online shopping has become a growing process, in which the profit statistics are posted by familiar e-commerce corporations like Amazon, Flipkart, Snapdeal, etc. However, this kind of online shopping unkindly omits the touch and feel of the products that can be used to estimate the product quality as the main factor while buying the commodities from the shops. The estimation of product quality is more significant during the purchasing of online products. Therefore, many opinion mining and sentiment classification methods were introduced to purchase the best products through online shopping. But, these classification methods haven’t attained the effective product classification with best reviews and ratings. In this paper, we propose a hybrid feature extraction method PCA (Principle Component Analysis) and t-SNE (t-Distributed Stochastic Neighbor Embedding ) with SVM (Support Vector Machine) using lexicon-based method to classify and separate the products from the large set of different products depending on their features, best product ratings and positive reviews. In this process, the online products will be isolated and listed according to their high positive reviews. The data preprocessing is applied to the dataset to get the data accuracy before the execution of feature extraction and classification. The dimensionality reduction and best visualization of large data set are executed by applying the PCA and t-SNE method. The sentiments are also been extracted by this hybrid feature extraction method to acquire the best neighboring product ratings. The polarity of words is discovered using a lexical based approach to extract positive reviews for obtaining the best products. Finally, the SVM is exploited to the classification of products. The performance of the proposed method is estimated with precision, recall, accuracy and complexity that can provide the entire accurateness of the system. 11 30 2019 1885 1891 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3608.119119 https://www.ijitee.org/portfolio-item/L36081081219/ Assistant Professor, Siddaganga Institute of Technology, Department of information Science and Engineering, Tumakuru-572103, Karnataka State, India. Shubha C Sushma S A Assistant Professor, Siddaganga Institute of Technology, Department of information Science and Engineering, Tumakuru-572103, Karnataka State, India. In society the population is increasing at a high rate, people are not aware of the advancement of technologies. Machine learning can be used to increase the crop yield and quality of crops in the agriculture sector. In this project we propose a machine learning based solution for the analysis of the important soil properties and based on that we are dealing with the Grading of the Soil and Prediction of Crops suitable to the land. The various soil nutrient EC (Electrical Conductivity), pH (Power of Hydrogen), OC (Organic Carbon), etc. are the feature variables, whereas the grade of the particular soil based on its nutrient content is the target variable. Dataset is preprocessed and regression algorithm is applied and RMSE (Root Mean Square Error) is calculated for predicting rank of soil and we applied various Classification Algorithm for crop recommendation and found that Random Forest has the highest accuracy score. 11 30 2019 1301 1304 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3609.119119 https://www.ijitee.org/portfolio-item/L36091081219/ Federal State Research Institution " Institute of Art Education and Cultural Studies of the Russian Academy of Education" , Moscow, Russia. Irina E. Kashekova* Ekaterina A. Kononova Federal State Research Institution "Institute of Art Education and Cultural Studies of the Russian Academy of Education", Moscow, Russia. The authors believe that the strategy of modern education should be aimed at updating the content of education and developing mechanisms for its mastering in accordance with the realities of the modern world and the psychology of present-day childhood. The article reveals the ways of finding answers to the issues, which are topical for modern education, namely, how to convey to pupils the necessary amount of fundamental and most modern knowledge, how to ensure knowledge acquisition, how to spark children's interest in learning the world, and teach them to apply acquired knowledge in practice. Based on the research in the field of cognitive psychology and pedagogy of art, the authors distinguish the factors of creative cognition, describing the "ART+" cross-cultural pedagogical technology and its principles, as well as provide guidelines on the application of technology in the educational process of secondary school to make the learning process fun and creative. 11 30 2019 1305 1311 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3624.119119 https://www.ijitee.org/portfolio-item/L36241081219/ Assistant Professor, Department of Business Administration, Christ college of Arts and Science, Kilachery, Thiruvallur (Dist), Tamil Nadu, India. S. Sankar* M. Jeyakumaran Assistant Professor, Department of Business Administration, Annamalai University, Annamalai Nagar, Tamil Nadu, India The paper attempts to understand the perception of human relations among employees and relationship between employer and employee and its impact on desirable behavior and performance over getting a job. Number of orientation programs from reputed institutions enhances the planning and execution to handle tasks in the future. The working condition encourages the workers to work more and ensure safety both at physical and mental level. The study has been conducted in an automobile industry in Chennai. It offers extensive study on the relationship between employee and employer with statistics. It uses Multi-stage sampling method to examine 400 respondents and Surveying method for data collection. In the end, the study offers a perspective that the relationship among employee is categorical on the basis of their designation. It dents the performance among employees. 11 30 2019 1312 1314 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3647.119119 https://www.ijitee.org/portfolio-item/L36471081219/ Assistant Professor, Department of Electronics & Communication Engineering, GSSSIETW, Mysuru. Shyamala C* Dr Geetha Priya M Professor, CIIRC and Dept. of ECE, Jyothi Institute of Technology, Bangalore. Dr Sumithra Devi K A Dean Academics & Head, Dept of ISE, DayanandSagar Academy for Technology and Management, Bangalore. In Wireless Sensor Network when the sensory nodes are mobile, it is called Mobile WSN. Since the sensors are on the move, the topology of a MWSN is perpetually dynamical. So, finding an optimal routing path from the start node (where the event takes place) to the base station in Mobile WSN is highly complicated. Recent research works have resulted in the design of many innovative protocols for MWSN, however there are many unresolved issues like fault tolerance, connectivity, reducing the energy consumption, enhancing coverage, improving security etc. This work aims at proposing a proactive FT routing scheme for Mobile WSN using a dynamic routing table PFTP and then simulating in MATLAB for evaluating the various performance metrics. 11 30 2019 1892 1896 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3656.119119 https://www.ijitee.org/portfolio-item/L36561081219/ Lecturer, Department of Electrical Engineering Technology, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia. Mohd Hakimi Bin Zohari* Muhammad Farid Bin Johari Final Year Student, Department of Electrical Engineering Technology, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia. The Internet of Things (IoT) is a latest concept of relating physical computing devices or any other objects to internet and can communicate with each other. Each object is provided with unique identifiers and the ability to transfer data over internet network without human intervention and machine interaction. The project targets on a simple microcontroller, Arduino UNO with connection to the wireless weather monitoring system, WiFi-WeMos ESP8266 which monitor weather condition using three sensors such as temperature, rain and carbon monoxide sensor. It then displays all data in the Blynk application. The project have been developed by using Arduino UNO Microcontroller, WiFi-WeMos ESP8266, DHT 11 temperature and humidity sensor, rain sensor and MQ-7 Carbon monoxide sensor. It is suitable for monitoring weather in any place and any time. 11 30 2019 1315 1319 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3666.119119 https://www.ijitee.org/portfolio-item/L36661081219/ Electronics Department, Camarines Sur Institute of Fisheries and Marines Sciences, Camarines Sur, Philippines. Engr. Joseph Christian P. Oliquino* The advancement of the Philippine Education System specifically the implementation of the new Philippine Qualification Framework which aims to address the challenges of the 4th Industrial Revolution and 21st-century education, necessitates that materials of instruction should be at par with 21st-century technologies. Thus, there is a need for teachers to be innovative and resourceful enough, and to develop instructional/training materials that will yield good effects on students. In the case of TESDA and the Senior High School TVL Track, workstations are in demand since it used to develop more competencies and give hands-on experiences to students. The primary objective of this study was to develop a Mobile Workstation for Electronic Products Assembly and Servicing (EPAS) NC II. It has specific objectives such as to make the design for the workstation; to identify the materials and procedures; and to evaluate its acceptability in terms of functionality, cost-effectiveness, safety, and workmanship. The Research and Development Process and Descriptive Method were used for the attainment of these objectives. Mean was used to compute the results of the evaluation of electronics Instructors and Assessor; private electronics practitioner; and students enrolled in Electronics Product Assembly Servicing NC II for the school year 2016-2017. The result of the evaluation of its acceptability showed that the workstation is highly acceptable with the over-all weighted mean of 4.79. It is recommended that this workstation should be used in the classroom and community-based training as instructional material for developing competencies in EPAS NC II. This can also be reproduced by TVET institutions and DepEd schools that offer EPAS NC II. 11 30 2019 1320 1324 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3673.119119 https://www.ijitee.org/portfolio-item/L36731081219/ M.sc, Department of Biotechnology, East West College Bangalore / Bangalore University, India Sonia Singla* Aswath S. Department of Computer Science, PES University, Bangalore-560008, India Dr. Vimal KamleshKumar Bhatt Associate Professor, Balaji Institute of Modern Management, Pune, India Bhuvanesh Kumar Sharma Associate Professor, Institute of Business Management, Pune, India, Vinod Kumar Pal Associate Professor, Balaji Institute of International Business, Pune, India Virtual Reality (VR) is often associated with the gaming business, the advancement isn't just about gaming. Increased reality has been around for quite a while now and there have been new VR applications in different fields. It is ordinary that in excess of 500 million VR headsets will be sold always 2025 and the entire VR development would be worth over $30 billion consistently 2020. This gigantic advancement can't be solely from the gaming business, anyway, accounts from various industry zones which are viably using this impacting development. Virtual reality is utilized more in health care such as for learning skills, treatments, and robotic surgery. It is utilized with other medical tests like that of x-rays, scans to reduce the risk of surgery and understand the medical condition of the patient. A head-mounted device, both contracted HMD, is a presentation gadget, worn on the head or as a component of a protective cap, that has a little showcase optic before one or each eye. An HMD has numerous utilizations, incorporating into gaming, aeronautics, designing, and prescription lift. A head-mounted showcase is the essential part of computer-generated reality headsets. There is likewise an optical head-mounted presentation, which is a wearable showcase that can reflect anticipated pictures and enables a client to see through it. Human services are one such industry in which there are various utilizations of VR and the potential is open - finished. Medicinal experts and researchers have been at the planning phase creating and actualizing VR applications for quite a while now and have concocted of the most exceptional utilizations of VR in human services. Today, human services associations need to see how VR is changing social insurance and join best practices in their everyday tasks. Non-communicable disease (NCD) which are leading cause of death worldwide such as Diabetes, Cardiovascular disease, Alzheimer. Virtual reality is found to play a vital role in the NCD treatment. Recently, NHS England diabetes group has joined forces with Oxford Medical Simulation to prepare specialists utilizing computer generated reality. Specialists would now be able to rehearse in augmented reality restorative crises, to improve care for patients with diabetes. 11 30 2019 1325 1333 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3709.119119 https://www.ijitee.org/portfolio-item/L37091081219/ M. Tech. (CST), Department of CSE, S.R.K.R Engineering College, Bhimavaram, India A. Lakshmi Tanuja* J. Rajani Kanth Assistant Professor, Department of computer science and engineering, bhimavaram, India Some true applications, for example, content arrangement and sub-cell confinement of protein successions, include multi-mark grouping with imbalanced information. Different types of traditional approaches are introduced to describe the relation of hubristic and undertaking formations, classification of different attributes with imbalanced for different uncertain data sets. Here this addresses the issues by utilizing the min-max particular system. The min-max measured system can break down a multi-mark issue into a progression of little two-class sub-issues, which would then be able to be consolidated by two straightforward standards. Additionally present a few decay procedures to improve the presentation of min-max particular systems. Trial results on sub-cellular restriction demonstrate that our strategy has preferable speculation execution over customary SVMs in settling the multi-name and imbalanced information issues. In addition, it is additionally a lot quicker than customary SVMs 11 30 2019 1776 1778 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3718.119119 https://www.ijitee.org/portfolio-item/L37181081219/ Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia. Iswanto* Prisma Megantoro Department of Electrical Engineering and Information Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia. Elinda Prima Fitryana Dewi Department of Electrical Engineering and Informatics, Universitas Gadjah Mada, Yogyakarta, Indonesia. The article about pH meter based on Raspberry Pi 3 has been created. This instrument serves as a measure of acid base levels of solution capable of displaying a GUI ( Graphic User Interface ) based interface programmed in the Raspberry Pi 3 System On Chip with the Python programming language. The purpose of this research is to innovate Raspberry Pi 3 based pH measuring device, to create interfaces and store pH measurement data based on Raspberry Pi 3 and Python programming language, find out the results of heuristic analysis on pH meter measuring instrument innovations, and determine the accuracy of the pH meter based on Raspberry Pi 3. The method used to pH sensor chararacterization in making this measuring instrument is heuristic method.The characterization sensor result show that the accuracy value of the pH sensor is 99,97%, the precision value of the pH sensor is 99,99%, the sensitivity value of pH sensor is 6,45 mV/pH, the correlation value of the pH meter is 99,89%. Based on the result of the analysis that has been carried out, it can be conclude the innovation in pH measuring device that are made have a good accuracy and can measure well. 11 30 2019 1334 1338 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3720.119119 https://www.ijitee.org/portfolio-item/L37201081219/ Department of Information Technology, Sona College of Technology, Salem, India Lydia D. Isaac* Janani. I Department of Information Technology, Sona College of Technology, Salem, India Machine learning (ML) has become the most predominant methodology that shows good results in the classification and prediction domains. Predictive systems are being employed to predict events and its results in almost every walk of life. The field of prediction in sports is gaining importance as there is a huge community of betters and sports fans. Moreover team owners and club managers are struggling for Machine learning models that could be used for formulating strategies to win matches. Numerous factors such as results of previous matches, indicators of player performance and opponent information are required to build these models. This paper provides an analysis of such key models focusing on application of machine learning algorithms to sport result prediction. The results obtained helped us to elucidate the best combination of feature selection and classification algorithms that render maximum accuracy in sport result prediction. 11 30 2019 1339 1342 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3757.119119 https://www.ijitee.org/portfolio-item/L37571081219/ Department of Management Studies, Karunya Institute of Technology and Sciences, Coimbatore, Tamilnadu, India. Dr. G. T. Thiru Arooran* Dr. S. Anthony Raj Department of Management Studies, Karunya Institute of Technology and Sciences, Coimbatore, Tamilnadu, India. Dr. B. Kalpana Sai Department of Management Studies, Karunya Institute of Technology and Sciences, Coimbatore, Tamilnadu, India. Dr. O. Joji Chandran Department of Management Studies, Holy Grace Academy of Management Studies, Mala, Kerala, India. Savings and investments from Individuals and households is one among the indicator of a nation’s economic development. More income results in both higher spendable income and higher savings and investments. The individual income is increasing in one side and on the other side the investment options too have increased from bank and post office savings to financial assets, options, forward, currency derivatives. Software industry has revolutionized the employment pattern in India. They are noted for higher pay and providing employment opportunity to young graduates. Therefore this paper focuses on the investment preference and investment options of individual investor among information technology professionals in Tamil Nadu, South India. Findings are drawn from the analysis of the primary data collected form 600 employees of top ten software companies based on their market capitalization and also operating in Tamil Nadu. ANOVA, Garrett rank, factor analysis, inter correlation, path coefficient and regression analysis were applied to measure the extent of influencing factors for investment and investment options. 11 30 2019 1343 1347 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3766.119119 https://www.ijitee.org/portfolio-item/L37661081219/ Department of Computer Science and Applications, The Gandhigram Rural Institute - Deemed to be University, Gandhigram, Dindigul, Tamilnadu R. Sangeetha* M. Mary Shanthi Rani Department of Computer Science and Applications, The Gandhigram Rural Institute - Deemed to be University, Gandhigram, Dindigul, Tamilnadu Plant diseases are the common cause of the reduction in yield eventually resulting in low income to farmers. Researchers are at their best efforts to find a solution for the detection of plant diseases to increase farm productivity. In this paper, a novel approach of disease detection and prediction for tomato plant leaves has been proposed using deep learning techniques. Training of the models was performed with the use of an open database of 13,848 images, which included 7 distinct classes of [plant, disease] combinations, including healthy tomato crops. Convolution Neural Network which is well-suited for detection and prediction problems has been used for predicting healthy and unhealthy leaves affected by two types of diseases septoria spot and bacteria spot. Experiments are conducted using plant village dataset comprising of 4930 images including healthy and unhealthy leaves. The performance of the model is evaluated using precision, recall and F1-score and the model has achieved the highest accuracy 94.66 %. The significantly high success rate makes the model a very useful advisory or early warning tool. 11 30 2019 1348 1352 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3776.119119 https://www.ijitee.org/portfolio-item/L37761081219/ Ph.D Research Scholar, Department of Computer Science, Hinduthan College of Arts and Science, Coimbatore, India. Marrynal S Eastaff* Dr. V. Saravanan Associate Professor, Head Department of IT, Hindusthan College of Arts and Science, Coimbatore, India Gene expression data clustering is a significant problem to be resolved as it provides functional relationships of genes in a biological process. Finding co-expressed groups of genes is a challenging problem. To identify interesting patterns from the given gene expression data set, a Tanimoto Coefficient Similarity based Mean Shift Gentle Adaptive Boosted Clustering (TCS-MSGABC) Model is proposed. TCS-MSGABC model comprises two processes namely feature selection and clustering. In first process, Tanimoto Coefficient Similarity Measurement based Feature selection (TCSM-FS) is introduced to identify relevant gene features based on the similarity value for performing the genomic expression clustering. Tanimoto Coefficient Similarity Value ranges from ‘ ’ to ‘ ’ where ‘ ’ is highest similarity. The gene feature with higher similarity value is taken to perform clustering process. After feature selection, Mean Shift Gentle Adaptive Boosted Clustering (MSGABC) algorithm is carried out in TCS-MSGABC model to cluster the similar gene expression data based on the selected features. The MSGABC algorithm is a boosting method for combining the many weak clustering results into one strong learner. By this way, the similar gene expression data are clustered with higher accuracy with minimal time. Experimental evaluation of TCS-MSGABC model is carried out on factors such as clustering accuracy, clustering time and error rate with respect to number of gene data. The experimental results show that the TCS-MSGABC model is able to increases the clustering accuracy and also minimizes clustering time of genomic predictive pattern analytics as compared to state-of-the-art works. 11 30 2019 2034 2042 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3817.119119 https://www.ijitee.org/portfolio-item/L38171081219/ Assistant Professor, Dept. of CSE, Faculty of Engineering, CHRIST (Deemed to be University), Bangalore. Mahesh D S* Chandramouli H Professor & Head, Dept. of CSE, East Point College of Engineering, Bangalore. Sanjay R Chitnis Professor & Director, Dept. of CSE, Dayananda Sagar University, Bangalore. Broadband Wireless Access has drawn the fine attention due to the wide range of data requirement and user mobility all the time. Moreover, WiMAX provides the best QoE (Quality of Experience) which is based on the IEEE 802.16 standards; this includes several services such as data, video and audio. However, in order to provide the effective and smooth experience i.e. QoS scheduling plays one of the critical part. In past several mechanism has been proposed for effective scheduling however, through the research it is observed that it can be furthermore improvised hence in this we propose a mechanism named as OUS (Optimized Uplink Scheduling) which helps in improvising the QoS. In here, we have proposed a novel feedback architecture and proposed optimized scheduling which helps in computing the bandwidth request this in terms helps in reducing the delay as well as jitter. Moreover, the performance evaluation is performed through extensive simulation by varying the different SS and frequency and the results analysis confirms that our mechanism performs way better than the existing algorithm. 11 30 2019 1353 1359 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3835.119119 https://www.ijitee.org/portfolio-item/L38351081219/ Asst. Professor, Dept of CSE, PRIW, Khammam, TS state, India M. Sarada* Prof Avula Damodaram* Dept. of CSE, JNT University, Hyderabad , TS state , India The IEEE 802.11 MAC is liable for the scheme of channel accessing. It decides the performance of the WLAN and DCF is the central strategy. Stations that need to get to the divert may partake in a disseminated manner by means of CSMA/CA in the MAC layer. Packet collision can’t be totally avoided because of the nodes which are in scattered manner. MAC layer uses a BEB scheme for CA (collision avoidance).. Nodes are experiencing a collision in common channel in IEEE 802.11 and must have to backoff for a arbitrary time and selected consistently from CW. The contention window is maintained dynamically by BO algorithms. Network performance is decreased due to a sudden change in window size. Different existing algorithms for backoff and comparision among the algorithms are shown in the manuscript. 11 30 2019 2043 2049 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3855.119119 https://www.ijitee.org/portfolio-item/L38551081219/ Department of Physics, Annamalai University, Annamalai Nagar, India. D. Govindarajan* V.Uma Shankar Department of Physics, Annamalai University, Annamalai Nagar, India V2O5 And Nd:V2O5 Nanorods Were Prepared By Using Low Cost Sol-Gel Method And The Synthesized Samples Were Analyzed Through XRD, SEM And HRTEM Techniques. The Structural Analysis Of The Processed V2O5 And Nd:V2O5 Samples Are Exhibited In The Form Of Orthorhombic V2O5 Phase. The SEM And HRTEM Images Of The Nd:V2O5 Sample Are Shown That The V2O5 Nonoparticles Appeared As Nonorods With Smooth Surface In Which Nd Spherical Particles Are Decorated. 11 30 2019 2050 2052 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3856.119119 https://www.ijitee.org/portfolio-item/L38561081219/ Pursuing Ph.d in Electrical Engineering Annamalai University,India. C. Poongothai K. Gayathri Assistant Professor, Annamalai University, India. This paper is to ponder the use of Neural systems for shortcoming discovery and area in HVDC framework. The proposed Neural system learns examples and relationship on transient information. The Back-propagation algorithm has the ability to match map complex and nonlinear input - output behavior. A MATLAB model was created for the 500kv,1000MW,12 pulse-based converter-based distribution system and various fault events were simulated. The limitations of AC over long transmission lines has led to the use of DC for bulk transmission over long distances. Fault condition like rectifier fault, inverter faults and transmission line faults are discussed in this paper. 11 30 2019 2053 2059 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3857.119119 https://www.ijitee.org/portfolio-item/L38571081219/ Department of Computer Science and Engineering, NIT Hamirpur, India. Tanuj Wala* Narottam Chand Department of Computer Science and Engineering, NIT Hamirpur, India. Ajay K. Sharma Department of Computer Science and Engineering, NIT Jalandhar, India. Wireless sensor networks (WSNs) have become increasingly important in the informative development of communication technology. The growth of Internet of Things (IoT) has increased the use of WSNs in association with large scale industrial applications. The integration of WSNs with IoT is the pillar for the creation of an inescapable smart environment. A huge volume of data is being generated every day by the deployment of WSNs in smart infrastructure. The collaboration is applicable to environmental surveillance, health surveillance, transportation surveillance and many more other fields. A huge quantity of data which is obtained in various formats from varied applications is called big data. The Energy efficient big data collection requires new techniques to gather sensor-based data which is widely and densely distributed in WSNs and spread over wider geographical areas. In view of the limited range of communication and low powered sensor nodes, data gathering in WSN is a tedious task. The energy hole is another considerable issue that requires attention for efficient handling in WSN. The concept of mobile sink has been widely accepted and exploited, since it is able to effectively alleviate the energy hole problem. Scheduling a mobile sink with energy efficiency is still a challenge in WSNs time constraint implementation due to the slow speed of the mobile sink. The paper addresses the above issues and the proposal contains four-phase data collection model; the first phase is the identification of network subgroups, which are formed due to a restricted range of communication in sensor nodes in a wide network, second is clustering which is addressed on each identified subgroup for reducing energy consumption, third is efficient route planning and fourth is based on data collection. The two time-sensitive route planning schemes are presented to build a set of trajectories which satisfy the deadline constraint and minimize the overall delay. We have evaluated the performance of our schemes through simulation and compared them with the generic enhanced expectation-maximization (EEM) mobility based scenario of data collection. Simulation results reveal that our proposed schemes give much better results as compared to the generic EEM mobility approach in terms of selected performance metrics such as energy consumption, delay, network lifetime and packet delivery ratio. 11 30 2019 1360 1371 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3863.119119 https://www.ijitee.org/portfolio-item/L38631081219/ Assistant Professor, Dept. of ECE, GSSSIETW, and Ph.D research Scholar , VVCE, Mysuru. India, Asha M* T.P Surekha Professor, Dept. of ECE, Vidya Vardhaka College of Engineering, Mysuru, India, Underwater sensor network finds lot of applications in sea environment monitoring. Tsunami like conditions can be monitored and reported earlier so that people on shores can be safe. Due to nature of medium, the data delivery ratio in under water sensor networks is very low. The various problems in the underwater sensor networks are crucial delay, Double side spreading, multipath induced fading, bandwidth limitation, Doppler effects. These problems reduce the data delivery ratio, network lifetime and other parameters.In order to increase the performance of the underwater communication system,Reed Solomon encoding technique with hybrid cross layer methodis used in physical, data link and routing layer . The proposed method increase the reliability of underwater wireless sensor networks. 11 30 2019 1372 1376 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3871.119119 https://www.ijitee.org/portfolio-item/L38711081219/ Assistant Professor(SG), Department of IT, Saveetha Engineering College, Chennai, India. Mr.S. Ilavarasan* Dr.P. Latha Professor, Department of IT, Saveetha Engineering College, Chennai, India. Wireless Sensor Network has become one of the most emerging areas of research in recent days. WSNs have been applied in a variety of application areas such as military, traffic surveillance, environment monitoring and so on. Since WSN is not a secure network and each sensor node can be compromised by the intruder. There are plenty of security threats in sensor networks like Black hole Attack, Wormhole attack, Sinkhole attack. Recently, there are so many algorithms are proposed to detect or to prevent attack by the researchers. Still, the research is continuing to evaluate sensor nodes' trust and reputation. At present to monitor nodes’ behavior direct and indirect trust values are used and most of the detection method uses additional nodes to detect an attack. These method increases the cost and also overhead. This paper proposed a method which detects the Black hole attack without using any additional node to monitor the network. The proposed work uses Attacker Detection metric (AD metric) to detect malicious node based on the average sequence number, time delay and reliability. OLSR protocol is used for routing which improves the network lifetime by minimizing the packet flooding. Besides, to ensure reliable data transmission Elliptical Curve Digital Signature Algorithm is used. Simulation results are obtained and show malicious nodes are eliminated using AD metrics 11 30 2019 1377 1382 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3908.119119 https://www.ijitee.org/portfolio-item/L39081081219/ Assistant Professor at Department of Computer Science, University of Agriculture Sciences, and Bangalore. Vimala M* Dr. Rajeev Ranjan Associate Professor in the School of Computer Science and Applications at REVA University, Bangalore, India. In recent years, the WSN has been widely used for building the DSS (Decision Support System) for solving the real-world problem. Moreover, out of several fields, one of the interesting field that requires DSS is monitoring of agriculture environment. Nowadays, Monitoring agriculture environment has become one of the essential field. A smart WSN system is capable of collecting as well as processing the huge data by monitoring the soil conditions, weather situation and others. Hence, IoT (Internet of Things) is employed in order to enhance the productivity and efficiency in the agriculture sector. IoT integrates the various technology such as RFI (Radio Frequency Identification), cloud computing, end-user applications and middleware system. Hence, it is obvious to obtain the higher efficiency for DC (Data Collection). In this paper shared based algorithm known as MMHC (Modified Multi-Hop Clustering) is proposed , this algorithm has three stage i.e. assembling , coupling and removing the redundant nodes. In this modified more than one node can be selected in the other two stage and the more than one node can be removed in third stage, this in terms helps in achieving higher efficiency. Later in order to evaluate the algorithm and prove the efficiency of our proposed algorithm, Comparative analysis is done with the Leach protocol based on the several parameter and it clearly shows that our model outperforms the Existing i.e. Leach algorithm. 11 30 2019 1383 1388 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3909.119119 https://www.ijitee.org/portfolio-item/L39091081219/ Digital Enterprise Department, Nsoft, CO., LTD, Ulsan, 44776, Republic of Korea. Hind R’bigui Mohammed Abdulhakim Al-Absi Department of Computer Engineering, Graduate School, Dongseo University, 47 Jurye-ro, Sasang-gu, Busan 47011, Republic of Korea. Chiwoon Cho* School of Industrial Engineering, University of Ulsan, Ulsan 680-749, Republic of Korea. Process models are the analytical illustration of an organization’s activity. They are very primordial to map out the current business process of an organization, build a baseline of process enhancement and construct future processes where the enhancements are incorporated. To achieve this, in the field of process mining, algorithms have been proposed to build process models using the information recorded in the event logs. However, for complex process configurations, these algorithms cannot correctly build complex process structures. These structures are invisible tasks, non-free choice constructs, and short loops. The ability of each discovery algorithm in discovering the process constructs is different. In this work, we propose a framework responsible of detecting from event logs the complex constructs existing in the data. By identifying the existing constructs, one can choose the process discovery techniques suitable for the event data in question. The proposed framework has been implemented in ProM as a plugin. The evaluation results demonstrate that the constructs can correctly be identified. 11 30 2019 1389 1393 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3914.119119 https://www.ijitee.org/portfolio-item/L39141081219/ Department of Physics, PSNA College of Engineering and Technology, Dindigul, 624622, India. Dr. G. Natarajan* Dr. K. Jeyalaksmi Department of Physics, PSNA College of Engineering and Technology, Dindigul, 624622, India. Dr. M. Thangaraj Department of Physics, PSNA College of Engineering and Technology, Dindigul, 624622, India. The aim of the present study is to find out the presence of minerals, raw materials used and the ceramic technology of the past in the selected pottery samples from the important archeological site Karur of Karur district, Tamil Nadu, India. Two Pottery samples of the period 250BC are collected from different depths of the excavated site are used for the present analysis. Scanning Electron Microscopy (SEM) has been used for the analysis. Examination of pottery samples under SEM is an excellent micro analytical technique used for the study of clay mineral configuration, fabric, texture and growth mechanisms. The presence of quartz, feldspar, montmorillonite, kaolinite, mullite in the selected pottery samples has been identified. Firing the pottery samples in the reducing atmosphere technique is also brought out. 11 30 2019 2060 2062 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3916.119119 https://www.ijitee.org/portfolio-item/L39161081219/