-3dc97f3d182b6b0ed3d-5e0e 20220919034103907 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 07 30 2019 8 2 M.Tech. Student of Civil-Hydraulics Engineering, Bharati Vidyapeeth (Deemed to be) University College of Engineering, Pune, India. Anjali Sharwan P.T. Nimbalkar Faculty of Civil Engineering, Bharati Vidyapeeth (Deemed to be) University College of Engineering, Pune, India. This experimental study examines the variation of scour depth with time of Clearwater scour condition around compound circular bridge piers for steady flow conditions. Most of the circular bridge piers are resting on the bigger diameter caissons known as the compound circular bridge piers and are widely used in India for construction of road and railways bridge across the rivers. In past studies, it has been observed that most bridge failure occurs because of scouring due to flowing water around a bridge pier across a river. Most of the past studies were done on the uniform bridge pier and a very few studies have been done so far on scouring around non-uniform bridge piers. Estimation of scour depth is required for the economical and a sound design of bridge pier foundation. In present study, an experimental investigation has been done in a tilting flume for computation of rate of change of depth of scour with time at two different models of compound circular bridge piers by varying the foundation top position with respect to level of bed, i.e., 1. The foundation top at the level of bed, and 2. The foundation top below the level of bed (viz. 10mm, 20mm, 30mm and 40mm) for uniform sediments. 07 30 2019 2439 2446 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2000.078219 https://www.ijrte.org/portfolio-item/B2000078219/ Assistant Professor in Department of Computer Science and Engineering, University of Kalyani, Kalyani, West Bengal, India. Dr. Debabrata Sarddar Mr. Noor Hassan BCA Department of Computer Science and Engineering, West Bengal University of Technology, India. Mr. Pinaki Das Ph.D. Department of Computer Science and Engineering, University of Kalyani. India. Mr. Rajat Pandit Assistant Professor Department of Computer Science, West Bengal State University, West Bengal, India. The problem of wireless communication is the handoff. That problem mainly shows in the urban area because limited number of Access Point (AP) and the Base Station (BS). Main problem occur when the Mobile Node (MN) are goes to out of the coverage area the MN need to make handoff because the current or old Base Station(BS) does not gives the supports. Effect of this problem is call disconnection or data loss. IEEE802.11 based wireless local area network (WLAN) are widely use to give the supports of personal or commercial basis. In the proposed work the WLAN are placed on the two adjacent cell and they are crossly connected to the BS. This WLAN are used as an AP and that AP are enhanced the signal strength of the region of handoff and increased the area of BS. This WLAN gives the services for the time of degradation until fond the new channel in the new BS or the inside of WLAN area. For this cause the failure of handoff are minimized. 07 30 2019 1350 1354 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2002.078219 https://www.ijrte.org/portfolio-item/B2002078219/ Research Scholar, Department of Computer Science and Engineering,, VELS University, Chennai 600 117, India R. Sudarshan Dr. S. K. Srivatsa Professor, Department of Computer Science and Engineering, Anna University, Chennai 600 025, India. E-commerce is a transaction of buying or selling online. It is a methodology of modern business which addresses the need of business organizations, vendors and customers to reduce cost and improve the quality of goods and services while increasing the speed of delivery [1]. In the emerging global economy, e-commerce and e-business have increasingly become a necessary component of business strategy and a strong catalyst for economic development. E-commerce promises better business for Small and Medium Enterprises (SME) and sustainable economic development for developing countries [2]. With the advent of e-commerce business, many software providers have started developing e-commerce solutions. However, the emphasis has to be given on developing defect free e-commerce portals. The concept of defect removal effectiveness and its measurement are central to software development. As per Software Engineering Institute Website defect removal is one of the top expenses in any software project and it greatly affects schedules [3]. According to Caper Jones, for improvements in productivity, cost, and schedule, it is important to use better defect prevention and removal techniques [4]. This quantitative analysis is done on five e-commerce projects. The lessons learnt from one project are fed into the development process of the subsequent projects that helped in preventing the similar defects. This facilitated in reduction in the count of User Acceptance Test defects, in the projects developed subsequently. 07 30 2019 1355 1361 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2004.078219 https://www.ijrte.org/portfolio-item/B2004078219/ Manufacturing Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim, Malaysia. Ahamad Zaki Mohamed Noor Muhammad Hafidz Fazli Md Fauadi Faculty of Manufacturing Engineering, Universiti Teknikal Malaysia, Melaka, Malaysia. Fairul Azni Jafar Faculty of Manufacturing Engineering, Universiti Teknikal Malaysia, Melaka, Malaysia. Muhamad Husaini Abu Bakar Manufacturing Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim, Malaysia. There were 50 data sample obtained from industries in Malaysia that practice sustainable manufacturing. Input file is presented in matrix 4x50 and 1x50 matrix as target file. However, there is no suitable number of hidden neuron that can be applied for the neural network model with 4 inputs and 1 output. An experiment has been done to identify the suitable hidden neuron through the observation of values from MSE and Regression. The hidden neuron must be no overfitting. The same goes for output and targets value must have close or linear relationship. The sample of tested hidden neuron is from 5 to 40 hidden neurons. The final answer obtained after look into Mean Square Error (MSE) values, Regression values and plots is hidden neuron 29. Hidden neuron 29 shows positive result in all criteria and should be implemented for this type of neural network model. 07 30 2019 2447 2453 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2013.078219 https://www.ijrte.org/portfolio-item/B2013078219/ Associate Professor, Department of Basic Science & Humanities , KKR&KSR Institute of Technology & Sciences,Guntur,AP,India . Dr Ankam Raghavendra Rao Dr D.V. Raghuram Associate Professor,Department of Physics . Hindu College ,Guntur.AP,India Mr Y.Mohan Rao Department of Basic Science & Humanities , KKR&KSR Institute of Technology & Sciences , Guntur ,AP, India Ultrasonic velocity is an important parameter, characterizing the state of the system. It can be determined experimentally by using Ultrasonic Interferometer. A brief discussion of ultrasonic interferometer and mode of determining ultrasonic velocities is given. The present paper deals with the experimental determination of ultrasonic velocities and adiabatic compressibility’s of ethylene glycols and higher homologous. From the ultrasonic velocity, closely related parameters like molar sound velocity, molar compressibility, and Vander Waal’s constant ….etc. are evaluated. The variations in ultrasonic velocity and related parameters with degree of polymerization and a phenomenal reasoning for the same are also permuted. 07 30 2019 3654 3657 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2014.078219 https://www.ijrte.org/portfolio-item/B2014078219/ Department of Computer Science and Engg, Annamalai University, TN, India. S Jothi Shri S Jothilakshmi Department of Information Technology, Annamalai University, TN, India. G Jawaherlalnehru Department of Computer Science and Engg, Annamalai University, TN, India. Face recognition is a beneficial work in computer vision based applications. The goal of the proposed system is to provide complete face recognitions system capable of working a group of images. The faces are detected and verified the identity of an individual using a machine learning algorithm. The haar cascade detects the face from a group of images for training and testing dataset. The dataset contained positive and negative images for training and testing. The LBPH algorithm recognizes the faces from input images. The proposed system detects and recognizes faces with 98% accuracy. 07 30 2019 1362 1367 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2015.078219 https://www.ijrte.org/portfolio-item/B2015078219/ Universiti Sultan Zainal Abidin, Hajer Ahmed Albahaloul Fatma Susilawati Mohamad Universiti Sultan Zainal Abidin. Khaled ALhadi Meftah Universiti Sultan Zainal Abidin. Cloud computing is the way to increase capacity without vital investment in new infrastructure, training new personnel, or licensing new software [1]. As higher educational sectors are under growing pressure, and to provide more for quality education [2] in the current financial crisis and the increasing need, universities can utilize the potential benefits of cloud computing to provide improved services with few resources [3].This paper presents a comprehensive study on the obstacles and advantages in cloud computing which affected at shifting to cloud computing services in Malaysian universities, and comparison of this present research results with the previous studies. 07 30 2019 1984 1989 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2016.078219 https://www.ijrte.org/portfolio-item/B2016078219/ Associate Professor, Department of Gayatri Vidya Parishad College, Rushikonda, Visakhapatnam, India. Dr. P. A. Nageswara Rao Mrs. Y. Sukanya Associate Professor, Department of Vignan’s Institute of Information Technology, Duvvada, Visakhapatnam, India. Ms. T. Vijaya Department of Raghu Engineering College, Vizianagaram, Andhra University, Visakhapatnam, India. Mallikarjuna Rao Prudhivi Professor, Department of Electronics & Communication Engineering, Andhra University, Visakhapatnam, India. Microstrip patch antennas are the handiest antennas for the present trend of applications in communications. The well-known beneficial mechanical characteristics (low profile, light weight, planar but conformal to non-planar structures, easy to fabricate), flexibility in terms of electromagnetic parameters like radiation pattern, gain, impedance, polarization and low cost are the key features for the success of such antennas. High efficiency antennas are essential to cater the requirements of various military oriented space vehicles like spacecraft, aircraft, satellite and missile applications where dimensions of installation are important as size, weight, performance, ease of installation and easy integration to the circuit. Microstrip antenna array are most apt for such applications, but the limitation of such antennas are gain and the bandwidth. The order of gain is low for patch antenna which is generally in the choice of 1-2dB.To increase gain and bandwidth factors the utilization of material with low dielectric constant having greater thickness is employed. However, this generates surface waves. So, proper thickness of substrate is selected. In this paper, microstrip patch having pentagon shape uses probe feed technique for various substrate materials such as Roger’s RT/Duroid 5880 (tm), Roger’s RO4003 (tm) and FR4 epoxy. The results of the three substrate designs are acquired for the resonant frequencies 6.5 GHz, 6.6 GHz, and 6.7 GHz respectively. The whole analysis is carried out using Ansoft HFSS software version 17.0. The characteristics like bandwidth, amplification factor (gain), return loss and radiation patterns of the different antenna are assessed, related and the same are presented at the end. 07 30 2019 1062 1066 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2019.078219 https://www.ijrte.org/portfolio-item/B2019078219/ Department of Electronics and Communication Engineering, GMR Institute of Technology, Guntur, India. Venkata Ramana Datti P.V. Sridevi Professor, Department of Electronics and Communication Engineering, Andhra University, Visakhapatnam, India. Compared to Binary Content Addressable Memory (BiCAM) there are many applications for Ternary Content Addressable Memory (TCAM) as a search engine. But TCAM consumes more power than BiCAM. So, the saving of TCAM power consumption is the main objective of numerous designs. Precharge phase of the TCAM leads to more power consumption. Newly, a precharge free NOR type BiCAM has been suggested but it takes more time for its operation. Here, precharge free high speed NOR type TCAM is proposed. The proposed TCAM architecture takes power same as precharge free NOR type TCAM but its delay has been reduced by 84% . Simulations performed with cadence 45-nm technology at the supply voltage of 1V. 07 30 2019 2454 2458 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2020.078219 https://www.ijrte.org/portfolio-item/B2020078219/ ECE Department, VEL TECH, Chennai, India Dr.L. Raja Dr.G. Santhi ECE Department, VEL TECH, Chennai, India Dr.P.S. Periasamy ECE Department, K.S.R.College of Engineering, Tiruchengode ,India. In real time computing, the embedded systems are a collection of electrical and mechanical systems with a association of small computers. The advancement of such electro mechanical systems with the environment is crucial in today’s scenario. Nowadays, the environmental pollution creates hazardous effect on the living creatures. The harmful pollutants should be identified and should be evacuated for the survival of mankind and other living organisms. Among the environmental pollutions, water pollution is more contaminated than air and soil. The water pollution damages the individual species and all biological creatures. The qualitative analysis of water is a thrust area of research with intelligent systems. At present, testing equipment are used in the laboratories to perform investigations with various water samples. These laboratory analysis make use of chemicals, reagents and sensors for determining the suitability of water for drinking purposes. Such laboratory methods are time consuming and are relatively expensive. To address this issue, quality of drinking water needs to be measured and monitored in real time for the safety of the people. This paper attempts to develop a low cost real time monitoring system to measure various parameters such as PH value, turbidity level and temperature. The measured values are processed through Raspberry Pi 3 module. The results are validated with real-time samples collected from various places and conveyed to the remote user through cloud server. 07 30 2019 1368 1372 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2026.078219 https://www.ijrte.org/portfolio-item/B2026078219/ Asst Professor, Department of Civil Engineering, Lakireddy Bali Reddy College of engineering, Mylavaram, A.P, India. M.Manoj kumar S.Hari Prasanna Rao student, Department of Civil Engineering, Lakireddy Bali Reddy College of engineering, Mylavaram, A.P, India. B. Lalithya student, Department of Civil Engineering, Lakireddy Bali Reddy College of engineering, Mylavaram, A.P, India. P.Sai Bhargavi student, Department of Civil Engineering, Lakireddy Bali Reddy College of engineering, Mylavaram, A.P, India. A.Pavan kumar student, Department of Civil Engineering, Lakireddy Bali Reddy College of engineering, Mylavaram, A.P, India. One of the most challenging problems in city management in a developing city like Vijayawada is Traffic Congestion. Being a part of the proposed capital city of Andhra Pradesh Amaravati, the vehicular population in Vijayawada as recorded the tremendous growth. With increase of Vehicular population (2015) as 3.32% of Transport vehicles and 7.97% of Non-Transport vehicles (as of data.gov.in) it has now became an alarming issue to develop the demand based transportation infrastructure. The traffic congestion not only disrupts the business activities but also reduces productivity level of the city. The traffic congestion, effect the increase in possibility of accidents because of weak traffic management in the city. So it is now very essential to give the solution to ill effects of traffic congestion in Vijayawada. This paper describes the traffic congestion problem for the busiest roads of the Vijayawada city i.e.., Eluru and Bandar road. The traffic congestion of these roads is determined by the level of service of the arterial roads (LOS) through Average speed, Traffic volume and Traffic Capacity. Also the topological features of the city and solution to the problems triggering traffic congestion are suggested. 07 30 2019 1373 1378 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2027.078219 https://www.ijrte.org/portfolio-item/B2027078219/ Togliatti State University, Russia. Sergey Kh. Peteraitis Olga L. Shepelyuk Tyumen Industrial University, Russia. Irina N. Fardeeva Kazan Federal Univrsity, Russia. This article highlights the important issues of distance learning. A brief history of the development of distance learning and individual approaches to the applicability of this type of training in modern conditions are given. An individual approach to distance learning allows you to expand the scope of various educational distance learning courses by involving the creative forces and interests of each participant of a particular distance learning resource. Each student of a distance course can ask questions based on their own interests and previously acquired knowledge, which will significantly expand the discussion and therefore the coverage of one or another course being studied. 07 30 2019 1379 1382 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2029.078219 https://www.ijrte.org/portfolio-item/B2029078219/ Samara State University of Social Sciences and Education, Russia Tatiana V. Dobudko Andrei V. Оchepovsky Togliatti State University, Russia. Sergey V. Gorbatov Samara State University of Economics, Russia Wahidah Hashim Institute of Informatics and Computing Energy, Universiti Tenaga Nasional, Malaysia. Andino Maseleno Institute of Informatics and Computing Energy, Universiti Tenaga Nasional, Malaysia; Department of Information Systems, STMIK Pringsewu, Lampung, Indonesia The paper deals with the monitoring of the functioning and control of the effectiveness of the use of electronic information and educational environment of higher education. Particular attention is paid to the registration of events and their analysis in the Moodle learning management system from the perspective of the organization of educational interaction and analytical activities of the management. It is noted that the learning management system Moodle can not without additional plugins to provide information about site visitors, traffic sources, load indicators on the system. External tools, such as «Yandex.Metrics». By integrating this information system into the electronic information and educational environment of the University, it is possible to analyze additional statistical data (number and age of visitors, devices used to enter the environment). The obtained information allows not only to optimize the educational process from the position of control over the study of educational material, but also to significantly improve the efficiency, convenience and quality of work of students in the electronic information and educational environment of higher education. 07 30 2019 1383 1386 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2030.078219 https://www.ijrte.org/portfolio-item/B2030078219/ Research Scholar, Department of Commerce, Maharaja Surajmal Brij University, Bharatpur. Yogesh Garg Dr. Neeta Anand Professor, Department of Commerce, Maharaja Surajmal Brij University, Bharatpur. This paper focuses on the impact of goods & service tax on the exports of Indian carpets & floorings industry. The GST has not only provided full set off for input tax but also abolished the burden of several existing taxes viz Central Excise Tax, VAT/Sales Tax, Service tax etc. There are many ambiguities about the post GST implementation effect. This study is an attempt to find out the significant impact of GST on the average exports of Carpets & floorings industry for Pre & post two consecutive years. Paired t-test analysis is applied on the data using SPSS Software and results are derived. It is crucial to find out the potentiality and practicability of the transition from VAT to GST (Goods and Service tax). Hence, this study assumes greater significance for academicians and policymakers. 07 30 2019 1990 1994 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2038.078219 https://www.ijrte.org/portfolio-item/B2038078219/ PG Scholar, Computer Science and Engineering, Vel Tech Multi Tech Dr.RangarajanDr.Sakunthala Engineering College, Chennai, India. S. Muthuselvi A. Rengarajan Professor, Computer Science and Engineering, Vel Tech Multi Tech Dr.RangarajanDr.Sakunthala Engineering College, Chennai, India. S, Scintiaclarinda PG Scholar, Computer Science and Engineering, Vel Tech Multi Tech Dr.RangarajanDr.Sakunthala Engineering College, Chennai, India. K. Nithya Assistant Professor, Computer Science and Engineering, Vel Tech Multi Tech Dr.RangarajanDr.Sakunthala Engineering College, Chennai, India. Stock market analysis is a common economic activity that has been an attractive topic to research and used in different forms of day-to-day life in order to predict the stock prices. Techniques like major analysis, Statistical investigation, Time arrangement analysis and so on are reliably worthy forecast device. In this paper, Data mining, Machine learning (ML) and Sentiment analysis are techniques used for analyzing public emotions in order predict the future stock prices. The goal of a project is to review totally different techniques to predict stock worth movement victimization the sentiment analysis from social media, data processing. Sentiment classifiers are designed for social media text like product reviews, blog posts, and email corpus messages. In the company’s communication network, information mining calculation is utilized as to mine email correspondence records and verifiable stock costs. Implementing various Machine learning and Classification models such as Deep Neural network, Random forests, Support Vector Machine, the company can successfully implemented a company-specific model capable of predicting stock price movement with efficient accuracy. 07 30 2019 2847 2850 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2039.078219 https://www.ijrte.org/portfolio-item/B2039078219/ Department of Zoology, Centurion University of Technology and management, Odisha, India. Lipika Mahapatra Dr Sitaram Swain Department of Zoology, Centurion University of Technology and management, Odisha, India. Now sickle cell disease (SCD) is an important health issue in many countries. India has been ranked as the second worst affected country in terms of predicted SCD births. SCD is an abnormal of the hereditary haematological disorder. The study was including 57 number of SCD patients which belong to the tribal region. These patients experienced with several symptoms like fever, loss of appetite, abdominal distension, myalgia, pain in legs, jaundice and black stool. Female individuals were more prevalent to SCD in compare to male. The SCD patients with an average age of 12.99 (±11.66) years. There was found significant difference in between the male individuals at (p<0.01). In these patients the concentration of haemoglobin, iron and ferritin also varies. In ABO blood group O blood group more prevalent than other blood group. SCD often causes complications on many organs. As the prevalence is more common in children, this will affect the socioeconomic status of a nation. This becomes a major challenge for healthcare professionals. Proper diagnosis and awareness for SCD in susceptible region is necessary for the better management and control of this disease. A well-designed epidemiological analysis will be necessary for better treatment and prevention of this disease. 07 30 2019 2851 2854 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2040.078219 https://www.ijrte.org/portfolio-item/B2040078219/ Ph.D. in Quality of Service of cloud service in the education industry at the University Technology Malaysia. Mr. Marwan Bsharat Dr. Othman Bin Ibrahim Associate Professor head of university Technology Malaysia career center, he received PhD in Computation 2004 from University of Manchester Institute of Science and Technology, Malaysia. Ms. Sawsan Bsharat her education in computer science 2009, from Al-Najah National University – Palestine, Quality of service (QoS) has been proofed to be a great significance effect in the utilization of cloud service in higher education institutions (HEI’s), due to having many aspects determine the acceptance level of QoS while providing cloud service, QoS acceptance not given sufficient attention from HEIs and decision-makers. In this research, previous QoS studies are review in this field to identify QoS acceptance variables by review studies for the last 5 years. Thus, with the aim to discover QoS aspects this research intends to develop an integrated model to understand these variables and relationship between QoS acceptance variables, which must be efficiently studied. Hence, the integrated model between TOE (Technological, Organizational, and environmental) and HOT (Human, Organizational, and Technological) theory is presented in this research to be the core contribution. The integrated model helps HEIs to evaluate and explore QoS aspects to increase utilizing of cloud service, improving HEIs efficiency, and help decision-makers to facilitate the acceptance of QoS in HEIs. 07 30 2019 1995 1999 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2042.078219 https://www.ijrte.org/portfolio-item/B2042078219/ M-Tech Department of Electrical Engineering NITTTR, Panjab University. Nitika Khurana Dr. Ritula Thakur Assistant Professor Department of Electrical engineering National Institute of Technical TeachersTraining and Research, Chandigarh, India. The heart is a muscular pump whose pumping action is controlled by an electrical conduction system. The disturbance in conduction may results in inefficient pumping of blood. To maintain the conduction in rhythm the device known as pacemaker can be used to deliver electrical impulses to heart. The number of heart patients has pacemaker implantation every year. While patient have implanted with pacemaker it is necessary that pacemaker should provide therapy according to the need of patient. But, there may be problems in coordination while patient’s use pacemaker leading to delivery of inefficient pulses needed for heart contractions. In this paper, a simulation tool is proposed aiming to achieve synchronization of heart and pacemaker on basis of heart’s timing properties which help patient adaption to pacemaker. Electrocardiogram is used as input diagnostic signal for evaluation of heart. An integrated simulation of pacemaker and heart model using VISSIM software is proposed for synchronization and optimization of the pacing pulses of pacemaker to check the adaptation of pacemaker by patient. 07 30 2019 1387 1391 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2044.078219 https://www.ijrte.org/portfolio-item/B2044078219/ Dept of CSE, Aditya Institute of Technology and Management, Tekkali (A.P) India, Sivala Vishnu Murty Dr. R Kiran Kumar Dept. of Computer Science, Krishna University, Machilipatnam, Andhra Pradesh, India. Classification techniques are often used for predicting Liver diseases and assist doctors in early detection of liver diseases. As per studies in the past and our experiments, conventional classification algorithms are found to be less accurate in predicting liver diseases. Therefore, there is a need for sophisticated classifiers in this area. For many medical applications, including Liver Diseases, Deep Neural Networks (DNNs) are used but the accuracies are not satisfactory. Deep Neural Network training is a time taking procedure, particularly if the hidden layers and nodes are more. Most of the times it leads to over fitting and the classifier does not perform well on unseen data samples .We, in this paper, tuned a Multi Layer Feed Forward Deep Neural Network (MLFFDNN) by fitting appropriate number of hidden layer and nodes, dropout function after each hidden layer to avoid over fitting, loss functions, bias, learning rate and activation functions for more accurate liver disease predictions. We used a balanced data set containing 882 samples. The data is collected from north coastal districts of Andhra Pradesh hospitals, India. The training process is carried out for 400 epochs and finally It is .observed that our model exhibited 98% accuracy at epoch 363 which is more than the performance of Neural Network models tuned till now by machine learning researchers and also some regularly used classification algorithms like Support Vector Machines (SVM), Naive Bayes (NB), C4.5 Decision Tree, Random Belief Networks and Alternating Decision Trees (ADT) . 07 30 2019 1392 1400 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2047.078219 https://www.ijrte.org/portfolio-item/B2047078219/ Research Scholar, Dept. of Electrical Engg., Annamalai University, Tamil Naidu Kiran Kumar Kuthadi Dr. ND. Sridhar Assoc. Professor, Dept. of Electrical Engg., Annamalai University, Tamil Naidu. Dr. CH. Ravi Kumar Assoc. Professor, Dept. of Electrical Engg., Acharya Nagarjuna University, Andhra Pradesh. The domestic and industrial demand for electricity has been increasing extensively making the power system more expensive. With this increases in demand for electricity, the losses also increase in demand for electricity the losses also increase from power generation to distribution Flexible alternating currents transmission system (FACTS) is used to maintain flexible operation of the power system from power generation level to the distribution level. The reliability of the network system can be enhanced by using FACTs devices in the power system more reliably, the inventions in the advanced power electronics devices can be implemented in the design of FACTs, serices, shunt, serices-shunt and shunt-shunt are some of the FACTs devices. One way to operate the power system with less power losses and improved system voltage profile is to use FACTs. Unified power flow controller (UPFC) is one of the serices-shunt FACTs systems. This paper throws light on how UPFC can be used to improve the voltage profile and reduce the installation cost of UPFC, the system loss, in the electrical power system. Analyst and soft computing methods such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Weight Enhanced Particle Swarm Optimization (WIPSO) are used to determine ideal FACTs device settings and FACTs device place. 07 30 2019 2000 2006 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2048.078219 https://www.ijrte.org/portfolio-item/B2048078219/ Assistant Professor, GITAM (Deemed to be University), Visakhapatnam-530045, India Santhosh Kumar Balaji KVGD Professor, GITAM (Deemed to be University), Visakhapatnam-530045, India K. Prudhvi Raju M.Tech Student, (GITAM Deemed to be University), Visakhapatnam-530045, India The ambient noise from transportation and in metro politan areas due to tremendous inhabiting density, it promotes infelicitous noise threats, which originates severe health problems to humans and other living organisms. The present study focus on the employment of industrial and agricultural misuse can be adopted in concrete as partly replacement of cement to reduce the cost, also improves the concrete properties and reduce environmental pollution. The main objective is to assess sound absorption of TBASF concrete by partly replace with cement with SCBA (0%, 5%, 10%, 15%, 20%, and 25%) and additionally 10% Silica Fume. Compressive strength, Split tensile strength, Flexural strength tests were conducted for 7days, 28days, and 56days and sound absorption test was conducted for 7days and 28days. The optimum strength obtained for the mix TBASF15 at all the ages. Further, the results of the sound absorption coefficient (α) of SCBA Silica Fume concrete compared with the sound absorption coefficient (SAC) (α) of parent concrete is carried out by using the impedance tube. 07 30 2019 2007 2011 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2050.078219 https://www.ijrte.org/portfolio-item/B2050078219/ Research Scolar Department Of Management Studies Jntua- Anatapuramu – A.P U M Gopal Krishna Dr. Aliya Sulatan Associate Professor Department Of Management Studies Rgmcet – Kurnool District – A.P Dr. T Narayana Reddy Associate Professor Department Of Management Studies Jntua – Anatapuramu – A.P Investment is the commitment of funds, which have been saved from current consumption with in this hope that some benefits will be received in future. Based on the factors such as Demographic factors, Socio-Economic Background, Life Style, etc.., a lot of investment avenues will be available to the investors for parking their idle funds. Generally the initial step in the Investment process is understanding the objectives of Investment and framing out the investment policy. This may rely on investor’s perception. In this study an attempt has been made to find out the investors perception in primary and popular investment avenues in Kurnool District of Andhra Pradesh. From the respondents all Demographic variables and investors objectives have been collected and computing the relationship between these variables and objectives of the investment. Furthermore the study also finds the investor’s investment decision making behaviours in their investment avenues. 07 30 2019 1401 1411 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2054.078219 https://www.ijrte.org/portfolio-item/B2054078219/ School of Computer Science and Engineering, VIT University, Vellore, India. Ritvik Iyer Antara Sharma School of Information Technology and Engineering, VIT University, Vellore, India. Automation has numerous applications. This paper proposes a home automations system which can be effectively used to control and monitor home appliances using the internet. Due to its various advantages, home automation is gaining more and more popularity day by day because of its ability to ensure security and make life much easier. In the system, arduino will be interfaced with multiple sensors that can measure temperature & humidity, light, motion, and so on. The data collected by the various sensors is stored and a pattern analysis is done on the stored data which tells the user at which time the appliances are usually on or off so that they can be automatically controlled without any human intervention by observing the regular usage pattern. The user can also turn on/off any appliance remotely using the internet. 07 30 2019 3925 3929 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2060.078219 https://www.ijrte.org/portfolio-item/B2060078219/ Assistant Professor , Civil Engineering Department– Jerash University -Jordan Shehdeh Ghannam The straw and plastic fibers are used in concrete mix, to minimize crackswidthafter shrinkage and creep .Various types of mentioned admixturesare needed in concrete to eliminate cracks, and to increase strength of concrete and to make it more ductile. This research presents a discussion of two types of fibers used to reinforce concrete , such as straw and plastic fibers, separately and together, and this application is necessary to improve the concrete performance in its strength and ductility .Furthermore , this application is very important to achieve a limitation of the cracks, that may appear in concrete after its hardening.Plastic fiber can be produced from the plastic threads and waste propylene ,that are considered as waste materials after uses. Straw fiberis produced after harvesting thewheat , the straw waste is costly and noisy to eliminate by burning.A huge amount of plastic disposal as well as straw waste materials , cause a climate pollution. Using these both disposal materials in concrete mix (as an admixture) of different portions such as : 0.5% , 1.5% and 2.5% by weight of sand, will improve the ductility , and will inhibit the crack propagation.Thepaper is focused on testing different specimens of concrete mixes (cubes and cylinders)in order to investigate crack propagation, as well as to calculate both the concrete compression and tension. 07 30 2019 2579 2582 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2063.078219 https://www.ijrte.org/portfolio-item/B2063078219/ Research Scholar, Department of Computer Science Engineering, Bhagat Phool Singh Mahila Vishwavidyalaya, Khanpur Kalan, Sonipat, (Haryana), India. Renu Kumari Vinod Kr. Saroha Assistant. Professor, Department of CSE and IT, Bhagat Phool Singh Mahila Vishwavidyalaya, Khanpur Kalan, Sonipat,India. Dr. Sanjeev Rana Professor, Department of Computer Engineering MMCE, MM Deemed University, Mullana, India. This paper focuses on the job scheduling in cloud environment. Here the task has been scheduled in cloud and fog. Cloud provides services to heavy application while fog provides service to lighter application. The job scheduler would be helpful to reduce burden of cloud and help in energy optimization. The jobs are scheduled according to their types and priority. Various job scheduling algorithm such as gang scheduling, FCFS and round robin mechanism have been discussed in this research for load balancing and improve the compilation time. The simulation has been made using Matlab on virtual machines. 07 30 2019 2459 2462 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2069.078219 https://www.ijrte.org/portfolio-item/B2069078219/ Ph.D., Research Scholar, Department of Information Technology, Bharathiar University, Coimbatore N. Karthikeyan Dr. R. Vadivel Assistant Professor, Department of Information Technology, Bharathiar University, Coimbatore Flying Ad-hoc Network (FANET) is described as a special kind of ad-hoc network coming under the family of Mobile Ad-hoc Network (MANET). FANETs is characterized to have high range of mobility when comparing with MANET. Setting up the route and maintaining its lifetime is a tedious job in FANET, because the MANET routing protocols that already exist will never fit for FANET because of its increased level of mobility, environmental circumstances and topography structure. There arises a need for bio-inspired based routing protocol to overcome the obstacles. This paper proposes Artificial Bee Colony Inspired Protocol inspired from the bio-inspired concepts. The proposed protocol gradually reduces the level of congestion occurring at different routing path, where it considers the successful route setup and its life time to increase the data delivery. In ABCIP, bee colony is enhanced to analyze and choose the routing path instead of picking up in random. Simulation is carried out using NS2and the results indicates the proposed protocol considerably performs better than the existing protocols in maximizing the successful route setup and its life time, which minimizes the service disruption. 07 30 2019 2741 2749 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2070.078219 https://www.ijrte.org/portfolio-item/B2070078219/ School of Mechanical Engineering, Dr. Vishwanath karad MIT World Peace University, Pune, India. Saisugun Dontha Prof. Dr. Dattatray Chavan School of Mechanical Engineering, Dr. Vishwanath karad MIT World Peace University, Pune, India. Dr. Shivprakash Barve School of Mechanical Engineering, Dr. Vishwanath karad MIT World Peace University, Pune, India. Prof. Sanjay Rumde School of Mechanical Engineering, Dr. Vishwanath karad MIT World Peace University, Pune, India. Kishore Chokkakula Research and Development Head (AC), LG Electronics India Pvt. Ltd. Pune, India) Difluoromethane (HFC32) is the perfect replacement of R410A due to its zero ozone depletion Potential and lower Global warming potential (GWP as 675) that is much less than R410A (2088) and Zero Ozone Depletion Potential. R32 refrigerant can achieve higher heat transfer coefficients with less quantity of refrigerant charge when compared to R410A. Fin and Tube heat exchangers (FTHE) are widely used in the refrigeration, air conditioning industries and in many other applications to exchange or transfer the heat from refrigerant or working fluid and to the sink. The aim of this paper is to calculate the Heat transfer coefficient, pressure drop and heat load of refrigerants in Air-cooled Fin and Tube heat exchanger. Here FTHE is used as a condenser in one TR residential air conditioning application and their comparison using R32 and R410A refrigerants. To study the behaviour of two refrigerants in liquid phase, two phase (liquid and vapor phase) and vapor phases inside the condenser. Here the airflow to the condenser is counter flow. Materials used were Aluminium for fins and copper for tubes to achieve greater heat transfer coefficient. Here fin and tube material combination is very important because of their material properties. Optimizing the design of FTHE, i.e. selecting the micro finned tubes to generate turbulence in refrigerant flow, which results in enhancement of heat transfer coefficient. Slit type fin is selected for fins. The micro finned copper tubes with smaller inner diameter can save the material cost. Coil Designer a simulation software used for the design and analysis of FTHE. 07 30 2019 2485 2489 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2072.078219 https://www.ijrte.org/portfolio-item/B2072078219/ Biologi Education Departemen, University of Jember, Jember, Indonesia Joko Waluyo Dwi Wahyuni Biologi Education Departemen, University of Jember, Jember, Indonesia Wiwien S. Utami Medical Departemen, University of Jember, Jember, Indonesia Typhoid fever is systemic infectious disease caused by Salmonella typhi bacteria which is still considered as a health problem for the world people. This reasearch aims to know the healing efffects of fresh earthworm species Pheretima javanica to reduction typhoid fever replace the treatment using cloramphenicol. This research using male white rats (Rattus norvegicus L.) with negative control and positive control by using cloramphenicol. and 4 treatments group of each 5 rats. The test consists of Widal test, feces test and body weight measurement were analyzed descriptively, while body temperature measurement was analyzed by using ANOVA test and continued with Duncan test with confidence rate at 95%. The analyzed result got probably result p = 0,0001 (p < 0,05) means that fresh earthworm has a significant effect on the reduction of typhoid fever on male white rats with optimal dosage is 3 gram / 0.2 kg BB. 07 30 2019 2012 2014 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2074.078219 https://www.ijrte.org/portfolio-item/B2074078219/ Research Scholar, Bharathiar University, Coimbatore, India. Shidha M V T Mahalekshmi Professor & Principal, SNIT, Kollam, India. Sabu M K Associate Professor, Department of Computer Applications, CUSAT, India. Learning of class imbalanced data becomes a challenging issue in the machine learning community as all classification algorithms are designed to work for balanced datasets. Several methods are available to tackle this issue, among which the resampling techniques- undersampling and oversampling are more flexible and versatile. This paper introduces a new concept for undersampling based on Center of Gravity principle which helps to reduce the excess instances of majority class. This work is suited for binary class problems. The proposed technique –CoGBUS- overcomes the class imbalance problem and brings best results in the study. We take F-Score, GMean and ROC for the performance evaluation of the method. 07 30 2019 2463 2468 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1575.078219 https://www.ijrte.org/portfolio-item/B1575078219/ Department of Civil Engineering, Environmental and Construction Technology, Kalasalingam Academy of Research and Education, Anand Nagar, Krishnankoil - 626126, Tamil Nadu, India. Mahadevan Palanichamy Ramaswamy Sankaralingam Narayanasamy Department of Civil Engineering, Anjalai Ammal Mahalingam Engineering College, Kovilvenni, Thiruvarur District - 614403, Tamil Nadu, India. Extraordinary weather patterns are being observed globally during the past 30 years due to climate change resulting in variations in temperature and rainfall. Studies on long-term trend pattern of temperature and rainfall since 1980 distinctly shows a rise in mean temperature and declining rainfall trend. Due to change of climate at global level change, forecasting of rainfall with the conventional statistical analysis could not predict satisfactory results. Among the available processes, the El Niño Southern Oscillation (ENSO) cycle is considered efficient. Statistical analysis was carried out in this study so as to investigate the implication of rainfall data in seven rain gauge stations located in Vaigai River Catchment through the period from 1959 to 2016. ENSO Cycle was used also to predict rainfall for Vaigai River catchment of the Tamil Nadu State, India. Quadratic discrimination analysis (QDA) and Neural Network models are used to identify the class of rainfall classes with reference to ENSO cycle. The patterns recognized on the study area offer constructive information to administrators of water resource management, to implement the same for agriculture, water supply and power generation. 07 30 2019 1412 1427 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2078.078219 https://www.ijrte.org/portfolio-item/B2078078219/ Corresponding author,Assistant Professor (Sr.Grade), Department of Civil Engineering ,Mepco Schlenk Engineering College, Sivakasi-626005, Tamilnadu, India J. Jeyanthi Dr.P. Vincent Professor, Department of Civil Engineering, Mepco Schlenk Engineering College, Sivakasi-626005, Tamilnadu, India In this paper thermal behavior of Partially Encased Composite column (PECC) made of Fiber Reinforced Concrete (FRC) has been carried out. Steel wool (SW) and carbon fiber (CF) were used to make fiber reinforced concrete (FRC) specimens. The fiber proportion was varied from 0 to 1%. From the Compressive strength test it was observed that FRC with 0.5%CF-0.5%SW has more strength, to be the best proportion among the tested specimens. Transient thermal analysis of PECC made of FRC was carried out by ANSYS 17.2 The temperature range was considered from 400ºC to 800ºC with a time frame of 30 to 120 minutes, for the time interval of 30 minutes as per ISO 834.From the analysis it was observed that temperature at the core of fibre incorporated PECC was found to be very less i.e. 11ºC to 26 ºC compared to surface temperature of 400 ºC to 800 ºC and slows down the heat transfer from surface to core, made the column for high temperature application. 07 30 2019 2660 2665 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2079.078219 https://www.ijrte.org/portfolio-item/B2079078219/ Faculty of Information Science & Technology, Universiti Kebangsaan Malaysia Ilyas Khudhair Dubi Ghiath Mageb Waheeb Faculty of Information Science & Technology, Universiti Kebangsaan Malaysia Saif Ahmed Jabbar Faculty of Information Science & Technology, Universiti Kebangsaan Malaysia Hasimi Sallehuddin Faculty of Information Science & Technology, Universiti Kebangsaan Malaysia Nurhizam Safie Mohd Satar Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Selangor, Malaysia Farashazillah Yahya Faculty of Computing & Informatics, Universiti Malaysia Sabah, Malaysia Nur Azaliah Abu Bakar Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia The quickly propelling Voice over Internet Protocol (VoIP) innovation, is picking up customer fascination in the business today. Its uses, including IP communication frameworks, includes the transmission of voice as information bundles which after achieving the getting side, reassembles and deciphers according to necessity. This encourages open just as private IP frameworks. The real drawback, keeping numerous organizations off from utilizing VoIP advances is related to the security of this framework. This paper examines a strategy and the following framework that get to arrange data for approved system gadgets. The entrance insights and data empower to follow gadget development all through the system. In addition, it offers to recognize unapproved gadgets making false endeavors to get to the system, presenting to be an approved access gadget. 07 30 2019 2459 2474 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2080.078219 https://www.ijrte.org/portfolio-item/B2080078219/ Computer Science Engineering, Chandigarh University, Mohali, India. Mohammad Shabaz Urvashi Garg Computer Science Engineering, Chandigarh University, Mohali, India. Uniqueness lies in every living being that exists on the earth. It can be viewed through its behavior, walking, personality, dressing, cramming, writing and many more. Handwriting is an important aspect that reflects the uniqueness as a whole, but when it is restricted to find sentiments it does shows certain patterns. This research is dedicated to evaluate the handwriting patterns reflecting sentiments. The major challenge faced during this research is the mood of an individual while collecting the handwriting samples. The process starts, when an observer recites a joke and the audience is given a plane piece of paper and asked them to write “I LIKE IT” those who laugh or smile and “I DON’T LIKE IT” those who do not. The collected samples are then segmented at the depth of Letter ‘L’ which is either viewed as a parabola or straight line till it touches the Letter ‘I’ with image dimensions (160, 65) pixels. It is found that the value of the standard deviation of pixels goes to 14 those who laugh at their extreme and those who just smile goes to 8. Thus, it is concluded that the level of joy of an individual from smile to laugh is in between the standard deviation of pixel value ranging from 8 to 14. It can also be concluded that the handwriting changes immediately after laughing or listening a joke. Thus handwriting goes on changing when someone becomes joyful. Testing these patterns further on another blinded sample, the technique provides a result with an accuracy percentage of 97. 07 30 2019 2475 2477 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2081.078219 https://www.ijrte.org/portfolio-item/B2081078219/ SEEE, Lovely Professional University, Phagwara, Punjab 144411, India. Cherry Bhargava Shivani Gulati Lambton College of management and Technology, Ontario ON N7S 6K4, Canada. Pardeep Kumar Sharma SPSS, Lovely Professional University, Phagwara, Punjab 144411, India. In the fast-evolving era of digital electronics, reliability has become a critical issue. Due to failure and faults, the component manufacturers face market reputation degradation as well as financial set back. The condition monitoring for power electronics are based on basic principles; however, by analyzing failure modes of semiconductor devices and exploring appropriate techniques, situation has been improved a lot. From toy to satellite, an electrolytic capacitor is mostly used as an important component. This paper enlightens the estimation of residual lifetime of electrolytic capacitor using analytical techniques, so that these components can be reused and problem of WEEE (Waste of Electrical and Electronic Equipment) can be reduced to a large extent. The residual life of electrolytic capacitor is calculated using various analytical and mathematical technique. Accuracy of empirical standard prediction methods such as military handbook MILHDBK and RIAC217 is compared for the residual life prediction of electrolytic capacitor. RIAC217 plus technique proves to be more accurate than MILHDBK or other standard techniques. By predicting the residual life, the capability of re-use the component increases and problem of e-waste is decreased to a great extent. Thus, the residual lifetime prediction is a critical parameter for successful operation of device as well as safe healthy environment. 07 30 2019 2015 2019 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2082.078219 https://www.ijrte.org/portfolio-item/B2082078219/ University Institute of Engineering and Technology, Panjab University, Chandigarh, India. Savita Walia Krishan Kumar University Institute of Engineering and Technology, Panjab University, Chandigarh, India. In this paper, prominent keypoint based features are compared in order to analyze their reliability and efficiency against forgery detection. Four features specifically SURF, KAZE, Harris corner points and BRISK features are used individually on a set of images. The method includes four phases: Image pre-processing, keypoint detection, feature vector description and feature vector matching. In feature matching, MaxRatio has been chosen as a varying parameter for calculating values of false positives and false negatives for each feature. MaxRatio defines the ratio for rejecting ambiguous matches of feature descriptors in the images. The optimal threshold value for MaxRatio is calibrated with the help of trade-off between detection accuracy and false positive ratio. The changes in false negative ratio and false positive ratio are picturized in order to find out optimal threshold for detection accuracy. ROC curves are also plotted for each feature at different values of MaxRatio and area under the ROC curves are calculated. The experiments are performed on two benchmark datasets, namely CASIA version 2.0 and MICC-F600. It has been perceived from experimental outcomes that KAZE features gave best values for all the performance metrics namely accuracy, precision, area under the ROC curve and F1-score with little compromise in time complexity, whereas Harris corner points gave the worst results as compared to rest of the features. Further, in order to improve the execution time, the computation of non-linear scale space process in KAZE can be simplified and GPU programming for real-time performance may also be used. 07 30 2019 3658 3663 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2083.078219 https://www.ijrte.org/portfolio-item/B2083078219/ Assistant Professor, Department of Mechatronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India Ananthi K Priyadharshini R Assistant Professor, Department of Mechatronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India Arun Kumar P.M Assistant Professor, Department of Mechatronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India Indirapriyadharshini J Assistant Professor, Department of Mechatronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India Jaipraba V Assistant Engineer, Magnificent Engineers, Coimbatore, India Every industry needs skilled labor to manually operate the machine effectively. But this need may cost high and the production rate will also be low in hosiery printing industries which runs in small scale. This paper introduces semi-automatic hosiery printing machine which helps in reducing the problems faced. The PLC controls the machine and the timings are programmed to make automatic operation. The bottom arm of the machine is moved or rotated using the pneumatic cylinder. Semiautomatic movement is initiated by pedal.Sensors make the notification that all the screens are lifted .This setup is for safety purpose as the supply is given only when the sensors are sensed. This machine will help the industries to increase the production rate without any skilled labors. 07 30 2019 3664 3668 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2084.078219 https://www.ijrte.org/portfolio-item/B2084078219/ Dept. of Computer Application, North Orissa University, Baripada, India. Sonalika Nayak Jibendu Kumar Mantri Dept. of Computer Application, North Orissa University, Baripada, India. Prasanta Kumar Swain Dept. of Computer Application, North Orissa University, Baripada, india. Rural aquaculture is mostly based on open pond system. People in rural areas depend on aquaculture not only for food but also for livelihood. These are unmanaged fish ponds and deprived of any technological touches. To increase the livelihood, establishment of managed ponds and use of low cost IoT technology for monitoring fishponds is an important issue. By monitoring water parameters like PH, temperature, Turbidity fish growth can be increased. In this paper we have proposed a multiple fish pond design controlled by single center and wire and wireless mode of data collection. The proposed model is simulated using NetSim to generate network performance matrices. To achieve a prolonged battery life, concept of energy harvesting at sensor node level is introduced in the simulation study. 07 30 2019 3078 3081 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2086.078219 https://www.ijrte.org/portfolio-item/B2086078219/ Department of Electronics and Communication, Sathyabama Institute of Science and Technology, Chennai, India J. Premalatha Dr. Sahaya Anselin Nisha Department of Electronics and Communication, Sathyabama Institute of Science and Technology, Chennai, India Energy efficiency is the key concept of wireless communication to achieve green network. Green networking is the process that reduces consumption of energy as well for conserving bandwidth and also for any other process that will ultimately reduce energy use and, indirectly, the expense. With the rapid growth of technologies in wireless network and rapid increase of mobile users the problem of spectrum usage as well as energy consumption plays a vital role. As there is anexponential increase in the deployment of base station every year the power consumed by base station is the significant theme of intrigue. The increase in the number of base stations also leads to environment impact of CO2 emission which is normally due to powering up the base station which is located in remote areas as these off-grid sites are powered by diesel generators. It is been predicted that if this trend continues then the energy consumed by cellular network in future will lead to a serious problem.Thus, there has to be a tradeoff between the quantity of subscribers and the quantity of base station or otherwise it will affect the system throughput. In this paper a brief review of methods that have been used recently to improve the energy consumed by the base station is analyzed. 07 30 2019 2020 2023 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2089.078219 https://www.ijrte.org/portfolio-item/B2089078219/ Assistant Professor, Department of Computer Science (PG), PSGR Krishnammal College for Women, Coimbatore, India. S. Gomathi Deciding the right classification algorithm to classify and predict the disease is more important in the health care field. The eminence of prediction depends on the accuracy of the dataset and the machine learning method used to classify the dataset. Predicting autism behaviors through laboratory or image tests is very time consuming and expensive. With the advancement of machine learning (ML), autism can be predicted in the early stage. The main objective of the paper is to analyze the three classifiers Naïve Bayes, J48 and IBk (k-NN). An Autism Spectrum Disorder (ASD) diagnosis dataset with 21 attributes is obtained from the UCI machine learning repository. The attributes have experimented with the three classifiers using WEKA tool. 10-fold cross validation is used in all three classifiers. In the analysis, J48 shows the best accuracy compared with the other two classifiers. The architecture diagram is shown to depict the flow of the analysis. The Confusion matrix with other relevant results and figures are shown. 07 30 2019 1428 1432 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2090.078219 https://www.ijrte.org/portfolio-item/B2090078219/ Department of Civil Engineering, V R Siddhartha Engineering College, Vijayawada, India. Ch.Subramanyam Teja Tej Sai Moturu Department of Civil Engineering, V R Siddhartha Engineering College, Vijayawada, India. G.Yaswanth Kumar Department of Civil Engineering, V R Siddhartha Engineering College, Vijayawada, India. Haroon Ali Khan Department of Civil Engineering, V R Siddhartha Engineering College, Vijayawada, India. The objective of this work is to study the performance of the beam column connections in precast structures exposed to fire. Three different connections were considered for the study. The first one is monolithic and the remaining two are precast specimens joined through hybrid and corbel connections. This study is carried out in two phases. The first part of this study is experimental investigation of three beam-column specimens subjected to axial load until failure. The second part is experimental investigation of the beam-column specimens exposed to fire and axial load. The results suggest that irrespective of the fire, among the monolithic, hybrid and corbel connections of beam-column specimens, the specimen with corbel connection has the best performance in terms of toughness of the joint. 07 30 2019 1433 1436 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2092.078219 https://www.ijrte.org/portfolio-item/B2092078219/ Pursuing PhD from VTU Belgavi, (Karnataka), India. Mr. S K Kamane Dr. N K Patil Professor, Department of Civil Engineering, Sanjay Ghodawat Group of Institutes, Attigre, (Maharashtra), India. Dr. B R Patagundi Professor, Department of Civil Engineering, S G Balekudri Institute of Technology, Belgavi (Karnataka) India. Due to the distinctive advantages such as high strength to weight ratio, high resistance to corrosion and chemical attacks, fiber reinforced polymer (FRP) sheets are widely used for strengthening and repairing of existing steel structures. In last two decades, study has been carried out over the use of FRP for strengthening and repairing of concrete structures. More recently, the use of FRP to strengthen existing steel structures has received much attention. Strengthening and retrofitting is necessary for steel structure after some time because durability and capacity of steel structure get reduced over the time .Conventional strengthening method such as welding of additional steel plate to existing structure result in increase in dead load , also it will undergo corrosion if strengthen structure is placed in corrosive environment. Use of FRP for strengthening and retrofitting of steel structure will be the excellent solution for these disadvantages. The main aim of this paper is to study the flexural behavior of artificially degraded steel I section externally bonded with GFRP, BFRP, and CFRP. 07 30 2019 2478 2484 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2095.078219 https://www.ijrte.org/portfolio-item/B2095078219/ Research Scholar Amity University. A SAP-certified Consultant in ERP-HR , IBM certified Business Intelligence, currently pursuing PHD from Amity University, India. Ms Neetu Bali Dr Chandranshu Sinha Professor Amity University .D .Phil in psychology ,currently Professor at Amity University , India . With the growing technology influence in to organizations, the study explores the mediating role of technology in organizations. The research framework is based on Giddens Theory of Structuration (1982). The study focuses attention on recognizing the mediating role of information technology between the human realms and institutional properties within organizational contexts. The organizations taken into consideration are from IT Industry .The sample collected is from 100 employees from executive to middle managerial positions. The study reveals that vision collectivism, social collaboration, and functional expertise are the constructs that integrate technology with the social and institutional properties of the organization. The Giddens Structuration Theory for technology has been modified to incorporate the revelations from the study. The study proposes technology as a mediator for integrating independent entities in organization , thus sensitizing to the imperatives of designing a socio- technical systems in organizations for organizational developmental studies in future. 07 30 2019 1437 1442 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2099.078219 https://www.ijrte.org/portfolio-item/B2099078219/ Department of Computer Science and Engineering, National Institute of Technology Puducherry, Karaikal Dr. Manjith B.C. As cloud servers continue to receive more and more applications and data, it starts using ASIC and FPGAs as accelerators for processor intensive applications. Because of the reconfiguration nature of FPGAs, it become a good choice rather than ASIC on cloud. Encryption is an application which happens frequently on cloud and takes lot of processor cycles which can be shifted to hardware accelerator for execution. The security of hardware circuit which is transferred as bitstream to the FPGA board is of major concern for security critical applications. The article proposes a novel logic authentication module that can check the authentication or correctness of selected parts of logic circuit any time after the circuit is burned into FPGA. In the proposed work, Advanced Encryption Standard (AES) circuit parts are checked for correctness by using in-built Secure Hash Algorithm (SHA) and corrected by Dynamic Partial Reconfiguration (DPR). After the bitstream is burned into FPGA, a proposed software module can select a part or entire circuit for checking authentication with multiple sample inputs. Without the proposed method, any error after the circuit creation cannot be identified or corrected. Additionally, small faults in the circuit is corrected by DPR without loading the entire module. Totally 16 Benchmarks were created to check the correctness of the proposed system. Usage of DPR for circuit correction saves about 97% of time compared to reconfiguring the entire module. 07 30 2019 2024 2034 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2104.078219 https://www.ijrte.org/portfolio-item/B2104078219/ Dept of Computer Science and Engineering V R Siddhartha Engineering College (A), Vijayawada J. Harikrishna, Ch. Rupa P. Raveendra Babu Dept of Computer Science and Engineer-ing V R Siddhartha Engineering College (A), Vijayawada Current essential factor in this world to send a sensi-tive information over the unsecured network like the internet is security. Protection of sensitive data is becoming a major raising problem due to rising technologies. A recent attack on Electron-ic Mail of CBI shows that attacker’s efficiency rate. Standard cryptographic algorithms can be exploited by the attackers fre-quently and unable to apply for standard devices because of their energy consumption due to high computation with slow processing. Lightweight cryptography based algorithms can reduce these problems. This paper deals with symmetric key cryptography technique to encrypt the data where the sender and receiver share a common key which can also be called a secret key cryptography. To encrypt and decrypt the data, randomly generated Pentatope Number has used as a key. Next level of security will be provided using EHA (Ethernet Hardware Ad-dress or MAC Address) which is globally unique, to provide secure data transmission. The increasing of attacks on related key attacks motivates this. In particular, we investigate the effi-ciency impact comparatively other standard algorithms and observed that applications do not always use cryptographic algorithms without their intended use. 07 30 2019 1458 1461 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2105.078219 https://www.ijrte.org/portfolio-item/B2105078219/ Department of Mechanical Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, India. Harini Srivatsan Ujjwal Purimetla Department of Mechanical Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, India. Vaishnav Gangadhar Department of Mechanical Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, India. Venkat Dattathreya Department of Mechanical Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, India. Prakash Marimuthu Department of Mechanical Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, India. The nature of residual stresses caused by machining processes has been relevant to the study of component performance for decades. The concept that cutting parameters affect the magnitude and nature of residual stress is well known. In order to reduce the residual stresses on a machined surface, it is important to identify the extent of the effect of cutting conditions. This paper presents the effect of depth of cut and tool speed on milling induced residual stresses. Speed and depth of cut were varied when milling several AISI 1045 Steel specimens. Stresses were measured with the X-ray diffraction method and corroborated with mathematical modelling on an FEA software. A relationship between tool speed and residual stress, and depth of cut and residual stress was thus obtained. 07 30 2019 1462 1464 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2106.078219 https://www.ijrte.org/portfolio-item/B2106078219/ Research Scholar, Dept. of Electronics and Communication Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, INDIA. Rashmi Samanth Subramanya G. Nayak Dept. of Electronics and Communication Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, INDIA Advanced Microcontroller Bus Architecture Advanced eXtensible Interface (AMBA AXI) provided by the ARM supports the high performance and high frequency system design. The System on Chip (SOC) Integration design needs to meet the low latency and high bandwidth challenges. The complex bridges are necessary when high frequency operations are carried out and there is a need for the interface which meets the requirement for the wide range of the applications, all such requirements without the complex bridges are provided by the AMBA AXI. The verification of such a bus protocol required to make the SOC integration most robust one. System Verilog based verification methodology provides the systematic way of verifying such a SOC to make it as a most reliable one. Also, SV based assertion makes the checking all the protocols specification easier at the verification stage. In the present paper, the general design and verification methodologies for the AXI-Bus and Memory interface for SOC integration is proposed. Verilog based memory and AXI design being done using Verilog HDL and design challenges are discussed. The proposed design implementation supports single and burst based data transfers. The AXI protocol provides the dedicated channels for memory read and write operations. In this work, single master and single slave communication using AXI protocol with 32-bit SARM are designed and implemented. The System Verilog based verification environment is setup and used for the verification IP development. And SV Assertion based verification is being done to thoroughly check the AXI protocol functionality. 07 30 2019 1465 1469 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2110.078219 https://www.ijrte.org/portfolio-item/B2110078219/ Department of Chemical Engineering, Sinhgad College of Engineering, Vadgaon, Pune G. Bansod Dinesh Bhutada MIT, World Peace University, Department of Petrochemical Engineering, Pune Shrikant Barkade Department of Chemical Engineering, Sinhgad College of Engineering, Vadgaon, Pune Shyam kodape VNIT, Department of chemical Engineering, Nagpur In this study, an aqueous solution containing a mixture of heavy metal ion Cr(III) were treated by polymer enhanced Nanofiltration using polyethylene glycol as a binding agent polymer. The performance of PEG in removing heavy metal ion Cr (III) was compared with PEG and without PEG addition using polyamide Nano filtrationmembrane. The percentage rejection of heavy metal ions was studied under the different value of pH, metal ion concentration and flow rate. AtpH 10,percentage rejection of heavy metal ion was highest at around 99.2%,whereas,at 200ppm concentration and at 3(l/hm2)flow rate percentage rejection of heavy metal ion with PEG was highest 99.5%,it was found that PEG gave higher percentage rejection of Cr(III) ion than without the addition of PEG. 07 30 2019 1470 1474 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2112.078219 https://www.ijrte.org/portfolio-item/B2112078219/ Computer Science and Engineering, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, India. Sindhura Mangalampagti Raveendra Babu Ponnuru Computer Science and Engineering, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, India. Now a day’s, The advancement of technology implies the large amount of online textual Information, this leads to a need for Text Summarizers which can provide important textual data from large data source like www, into a well-structured document formats. It becomes an alive analysis activity to specify the related data that is retrieved from huge set of documents which are established from various sectors like social media. Text summary is the action of precise the documents by protecting the key concepts of the text. This process can be accomplished via extractive summary and abstractive summary. In this paper, we suggested summarization technique that is to be applied on online information depending upon the User required Document. 07 30 2019 1475 1477 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2113.078219 https://www.ijrte.org/portfolio-item/B2113078219/ Research Scholar, Dept. of CSE, Nagarjuna University, Guntur, AP Sayyad Rasheed Uddin Dr.Kurra Raja Rajasekhar Rao Prof. Dept of CSE, Usha Rama College Of Engg And Technology, Vijayawada Thyroid nodule is defined as an endocrine malignancy that occurs in humans due to abnormal growth of cells. Recently, an increasing level of thyroid incidence has been identified worldwide. Thus, it is necessary to detect the nodules at an early stage. Ultrasonography is an important tool that is utilized for the detection as well as differentiation of malignant thyroid nodules from benign nodules. The nodules in ultrasound appear in different heterogenic forms, which are difficult to differentiate by the physicians. Further, large number of features available in US characteristics increases the computation time as well as complexity of classification. In this paper, Graph-Clustering Ant Colony Optimization based Extreme Learning Machine approach is proposed to achieve efficient diagnosis of thyroid nodules. It will enhance thyroid nodule classification by selecting only the optimal features and further using it for improving the function of classifier. The main goal of this technique is to differentiate the malignant nodules from the benign nodules. The performance of both feature selection and classification are evaluated through parameters such as accuracy, AUC, sensitivity and specificity. From the experimental results, it is revealed that the proposed method is significantly better than the existing methods. Thus, it is considered to be an effective tool for diagnosing the thyroid nodules with less complexity and reduced computation time. 07 30 2019 1478 1488 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2115.078219 https://www.ijrte.org/portfolio-item/B2115078219/ Department of Electronics and Communication Engineering, GMR Institute of Technology, Rajam, Andhra Pradesh, India, Suresh Dannana Babji Prasad Chapa Department of Electronics and Communication Engineering, Andhra University College of Engineering (A), Andhra University, Visakhapatnam, AP, India. Gottapu sasibhushana Rao Department of Electronics and Communication Engineering, Andhra University College of Engineering (A), Andhra University, Visakhapatnam, AP, India. The exponentially increasing high data rate applications demand more spectrum. Conventional spectrum allocation schemes failed in providing spectrum to meet the requirement. Cognitive radio introduces dynamic spectrum allocation. Spectrum sensing plays a very important role in cognitive radio. In this paper, OFDM with sensing algorithm based on matched filter detection is presented. An Orthogonal Frequency Division Multiplexing (OFDM) with Cyclic Prefix is used to reduce Inter Block Interference between successive symbols. The Receiver Operating Characteristics (RoC), detection probability with respect to Signal to Noise Ratio (SNR) for a given False Alarm Probability (PFA) obtained and analyzed. Simulation results shows that, this algorithm achieves probability of detection values 0.38 and 0.9 for SNR values of -20dB and -15 dB respectively at PFA=10-2. Chen, Hou-Shin, considered Time Domain Symbol Cross-correlation between two OFDM symbols. This paper mainly focusses on improving the detection probability at low SNR values without considering cross-correlation, which requires more computations. 07 30 2019 1443 1448 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2124.078219 https://www.ijrte.org/portfolio-item/B2124078219/ Dept.,of CSE, BGSIT, ACU, BG Nagar, Mandya, India. Siddhartha BS Sunil Kumar B R Dept., of CSE, BGSIT, ACU, B G Nagar, Mandya, India. Arpitha K Dept., of CSE, BGSIT, ACU, B G Nagar, Mandya, India. Shwetha S N Dept., of CSE, BGSIT, ACU, B G Nagar, Mandya, India. An ad hoc network is a set of wireless mobile hosts which form a provisional network without the help or central administration of an existing infrastructure. An Ad Hoc vehicle network (VANET) utilizes shifting cars as portable network servers are created. Each involved unit becomes a mobile router with a VANET. The technique of networking of VANET is fast and versatile investments of equipment and VANET will not be restricted by set topology. A big number of road based implementation of portable apps ranging from the dissemination of vehicle warning and vibrant path scheduling to the promotion of context and file sharing are anticipated to assist VANET. The primary issues are: routing, broadcasting, service quality (QoS), collision avoidance, traffic optimization, network management, low error tolerance, security. The most important issues are: The design of an effective VANET routing protocol is very difficult; a relatively more stable routings must be established by the routing protocol. A range of road protocols was developed to deal with the problem of routing. Several protocols do not influence the stream of vehicles through the longest track between the origin and the target. VANET routing protocols efficiency is dependent on different parameters, such as mobility model, operating atmosphere, and many more. Fuzzy logic has been used in the protocol planning studies for wireless Ad Hoc networks, given that it is nice to choose the highest secure path from the notion of the fuzzy sets. In the draft job fuse oriented routing protocol the car lifetime, car number of cars travelling along the same lines and the distance between the stubble regarded three significant considerations for track choice are taken into consideration. 07 30 2019 4789 4794 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2127.078219 https://www.ijrte.org/portfolio-item/B2127078219/ Department of Mechanical Engineering, Ambalika Institute of Management & Technology, Lucknow India Prashant Kumar Srivastava Simant Department of Mechanical Engineering, Sagar Institute of Technology & Management, Barabanki, India Sanjay Shukla Research Design and Standards Organisation, Ministry of Railways, Government of India, Lucknow, India For the growth of any nation, revenue generation is prime concern. Indian railway majorly freight movement plays a vital role in this regard. Focusing on increasing carrying capacity, weight reduction of bogie and its components become prime concern. This requires existingdesign improvement of critical components. In present research work topology optimization is carried out for the design alteration of bottomCentre Bearing plate i.e. Centre pivot using ANSYSinterface. Centre Bearing Plate, an integral component of three piece freight bogie, it balances and transfer various forces generated during motion of the vehicle. Pseudo-density( ) are the design variables assigned to each finite element changes from 0 to 1, represents for removing of the material and represents for retention of the material. Further, design is modified according to the result obtained from iteration performed by FEA tool, resulting approximate weight reduction6.23 .Natural frequencies and their respective mode shapes of initial and modified designs are compared to validate the topology of the designs. 07 30 2019 1489 1494 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2131.078219 https://www.ijrte.org/portfolio-item/B2131078219/ Full Time Scholar, Electronics and Communication Engineering Department, Jawaharlal Nehru Technological University (Ananthapur), Ananthapur, India. Perla Anitha P.sudhakara Reddy Electronics and Communication Engineering Department, Jawaharlal Nehru Technological University (Ananthapur), Ananthapur, India. M N Giri Prasad Electronics and Communication Engineering Department, Jawaharlal Nehru Technological University (Ananthapur), Ananthapur, India. The contemporary coding standard for video is High Efficiency Video Coding Standard (HEVC). It’s introduced by ITU-T (International Telegraph Union) and Joint Collaborative Team on Video Coding (JCT-VC). HEVC attains the requirement of video storage and transmission with high resolution. Although it requires the high amount of computational complexity. Motion Vectors are determined with motion estimation analysis; it is implemented with different types of algorithm. In this paper, Motion Estimation Process is implementing with the content split block search algorithm. It improves Peak Signal Noise Ratio (PSNR) than to the existing algorithms. The Objective evaluation has been performed with various video sequences such as BQ Terrace and also improved PSNR. 07 30 2019 2855 2860 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrteB2132.078219 https://www.ijrte.org/portfolio-item/B2132078219/ CSE Department, Chaithanya Bharathi Institute of engineering Technology(A), Gandipet, Hyderabad, India. Vanitha Guda Prof Dr Y.Rama Devi CSE Department, Chaithanya Bharathi Institute of engineering Technology(A), Gandipet, Hyderabad, India. Today’s digital world huge number of information sources like wikis, web, blogs and other sources are creating a lot of information with several events. Basically, an event can be a situation, action or state that can be represented in natural language text in the form of happening or occurrence. Analyzing the event information finding the relation between the events is one of the crucial tasks in information retrieval. In a formal way, the event can be defined as a real-world entity that happens or occur; these are the dynamic occurrences which have causes or effects (E.g. earthquake, floods, crime, etc.). Extracting events, events fall within a timelines extraction can be applied in many of the natural language applications like text summarization, temporal question answering systems, etc. Event extraction and classification can use in other related text searches like News domains, legal documents, wikis, manuscripts, and time-based searches. In this paper, we present a methodology for event extraction in natural language text which helps in finding out the type of an event and classifies the events under specific categories. Our work aims to develop a system which would automatically identify events from articles generated over the internet. The system would not only detect the events but also tried to detect important times of the event. Finally compared the accuracy of work with several classifiers and obtained results shows good accuracy measure for Support Vectors machine (SVM). 07 30 2019 2861 2865 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2134.078219 https://www.ijrte.org/portfolio-item/B2134078219/ Biologi Education Departemen, University of Jember, Jember, Indonesia Dwi Wahyuni Rifqi Fuadatul Lathifa Biologi Education Departemen, University of Jember, Jember, Indonesia Vendi Eko Susilo Medical Departemen, University of Jember, Jember, Indonesia. The granules of sugar apple seeds extract (Annona squamosa L.) have been taken as the natural larvacide an economical in eradicating mosquito flicks of Aedes aegypti L. because of its the content of toxic compounds such as acetogenin, alkaloids, and flavonoids. In its use it is feared to cause toxic in the environment, especially the class of mammals as non-target animals, especially kidney organ. The kidney is an organ that is susceptible to toxic effects, since it receives 25-30% of the blood circulation to be cleaned, so that as a filtration organ there is a possibility of pathological changes. This study aims to determine the effect granules of sugar apple seeds extract (Annona squamosa L.) on the histology of white rat (Rattus norvegicus B.). Kidney histology observed as fat degeneration, hydrophic degeneration, and necrosis of tubular cells occurred in one field of view. The concentration given was 1 mg, 2 mg, 4 mg, and 8 mg while the negative control induced 2 ml aquades and positive control using abate 100 mg for 14 days with sonde method. The analysis used in this research is descriptive analysis with scoring. The results showed that granules of sugar apple seeds extract did not give effect to histology of white rat (Rattus norvegicus B.). 07 30 2019 1495 1498 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2137.078219 https://www.ijrte.org/portfolio-item/B2137078219/ PhD in Computer Science from VTU, Belgaum. Rupam Das Dr. K. B. Shivakumar Professor, Department of Telecommunication Engineering, Sri Siddhartha Institute of Technology, Tumkur. Advancement in technology has ensured better and more intuitive Human Computer Interaction (HCI). However, technological leap has not been able to bridge the gap for individuals with disability, particularly people with different impairments. Work has been done towards translating various sign languages and lip reading, but not much work is identified towards head gesture recognition and head gesture to speech conversion. Paralyzed patients, with ability to only move their head and eye find it rather difficult to communicate and interact with machines. This work presents a novel and efficient technique to map restricted head movements to text format using face and emotion detection capabilities of Intel RealSense SDK using Morse Code Mapping. The work maps UP and DOWN position of the head to DASH and DOT symbols of Morse code for an EYE_BLINK event trigger and SMILE emotion to convert the sequence of Morse symbols to an English character. The new language called HeadSpeak effectively reduces the pain for generating head gestures through 3D face position based gesture detection.The system can produce an average of 19 characters par minute, gesture error rate of .03% and average 4.5 words per minute. 07 30 2019 2866 2874 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrteB2140.078219 https://www.ijrte.org/portfolio-item/B2140078219/ Ph.D Scholar, Faculty of Computer Engg. , Pacific Academy of Higher Education and Research University, Udaipur, Rajasthan, India. Kruti Dangarwala Dr. Dilendra Hiran Principal, Faculty of Computer Application, Pacific Academy of Higher Education and Research University, Udaipur, Rajasthan, India. Indian sign language is communicating language among deaf and dumb people of India. Hand gestures are broadly used as communication gestures among various forms of gesture. The real time classification of different signs is a challenging task due to the variation in shape and position of hands as well as due to the variation in the background which varies from person to person. There seems to be no availability of datasets resembling to Indian signs which poses a problem to the researcher. To address this problem, we design our own dataset which is formed by incorporating 1000 signs for the sign digits from 1 to 10 from 100 different people with varying backgrounds conditions by changing colour, and light illumination situations. The dataset comprises of the signs from left handed as well as right handed people. Feature extraction methodologies are studied and applied to recognition of Sign language. This paper focuses on deep learning CNN (convolution neural network) approach with pretrained model Alexnet for calculation of feature vector. Multiple SVM (Support Vector Machine) is applied to classify Indian sign language in real time surroundings. This paper also shows the comparative analysis between Deep learning feature extraction method with histogram of gradient, bag of feature and Speed up robust feature extraction method. The experimental results shown that Deep learning feature extraction using pretrained Alexnet model give accuracy of around 85% and above for the recognition of signed digit with the use of 60% training set and 40% testing set. 07 30 2019 6326 6333 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2142.078219 https://www.ijrte.org/portfolio-item/B2142078219/ ECE, Gudlavalleru Engineering College, Gudlavalleru, A.P, India. M.V. Srikanth V.V.K.D.V. Prasad ECE, Gudlavalleru Engineering College, Gudlavalleru , A.P, India. K.Satya Prasad RECTOR, Vignan University, Guntur, A.P, India. In this paper an attempt is made to diagnose brain disease like neoplastic disease, cerebrovascular disease, Alzheimer disease, fatal disease, Sarcoma disease by effective fusion of two images. Two images are fused in three steps: Step 1.Segmentation: The images are segmented on the basis of optimal thresholding; thresholds are optimized with natural inspired firefly algorithm by assuming fuzzy entropy as objective function. Image thresholding is one of the segmentation techniques which is flexible, simple and has less convergence time as compared to others. Step 2: the segmented features are extracted with Scale Invariant Feature Transform (SIFT) algorithm. The SIFT algorithm is good in extracting the features even after image rotation and scaling. Step 3: Finally fusion rules are made on the basis of interval type-2 fuzzy (IT2FL), where uncertainty effects are minimized unlike type-1. The novelty of the proposed work is tested on different benchmark Image fusion data set and proved better in all measuring parameters. 07 30 2019 2750 2759 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2143.078219 https://www.ijrte.org/portfolio-item/B2143078219/ Department of Mechanical Engineering, S.V.Govt.Polytechnique, Tirupati(A.P), India. Dr.G.V. Subbaiah Dr.P.V.Sanjeeva Kumar Department of Mechanical Engineering, Annamacharya Institute of Technology & Sciences, Rajampet(A.P), India. P. Hemavathi Department of Mechanical Engineering, S.V.Govt.Polytechnique, Tirupati(A.P), India. The heat control and maintenance of batteries is essential for effective operation of UPS in harsh environmental condition since battery working reliability ,performance, durability and its economy is directly related to the environmental temperature and air flow around batteries .Therefore, ideally, batteries should be use within its comfortable temperature range to get its optimum performance. Compact design of Batteries in enclosed environments necessitates thermal management of the battery system for optimum life and performance. This invention proposes an efficient vapour compression refrigeration system to effectively cool the batteries and maintain optimum battery surface temperature of 25 °C for better performance and extended battery life at 40°C external ambient temperature. Moreover Silica gel based Solid desiccant wheel is used to absorb moisture from air so that condensation in the battery cabinet can be minimized .Computational fluid dynamics and heat transfer simulation was performed to devise a initial concept. Experimental validation of the prototype was made to verify simulation results and actual temperature distribution. 07 30 2019 2035 2037 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2145.078219 https://www.ijrte.org/portfolio-item/B2145078219/ Lokmanya Tilak College of Engineering, Koaprkhairane, Navi Mumbai Pranjali V. Gurnule In recent times, where technology is playing major role in all the aspects of our life ,farming which is majorly affected by various environmental fators need enhanced ways in order to improve the yeild of crops. In this paper we have discussed the use of IoT technology to help the farmers detect the favourable envornmental conditions such as temperature, humidity, soil moisture and water level with the help of various sensor implemntation . The system will compare the information collected from hardware module with the standard information stored for each seed in database and provide details of the seeds that will be appropriate to be cultivated under the environmental conditions that are obtained from the wireless sensors. Nowadays, the emerging Internet of Things (IoT) along with Wireless Sensor Networks (WSNs) with their low-cost sensors and new opportunities provide a more precise, site-specific, and sustainable agriculture in the context of Smart Farming. 07 30 2019 3669 3671 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2147.078219 https://www.ijrte.org/portfolio-item/B2147078219/ PG Student, Civil Engg, KHIT-Chowdavaram, Guntur, A.P, INDIA Merin Salman Raju Koppula Ravi Kumar Reddy C Professor, HOD, Civil Engg, KHIT-Chowdavaram, Guntur, A.P, INDIA. In General the framed structures are analyzed by considering that their bases are totally rigid (or) hinged. However, depending on relative rigidities of soil foundation and super structure the foundation undergoes deformation. In structural design the designers ignore the settlement response of the framed structure. The distribution of load on column and moment in framed structure transmitted to the foundation in the substructure has a crucial role in structural stiffness. Hence the analysis of the single bay single storied building frame resting on soil (CLAYEY SOIL) is taken for present study. The numerical analysis is carried out using ANSYS R16.0 by assuming that the base of the frame is resting on Soil (CLAYEY SOIL). The constant column height of 3M, while beam length varies of 6M,12M, &18M and their respective aspect ratio’s of 2,4&6. And for each aspect ratio the modulus of sub-grade reaction for clayey soil varies from 0.01 to 0.050N/mm3. The conventional analysis which assumes that the frame is resting on rigid support is carried out using ANSYS R16.0 by assuming the fixed base for the columns in the building frame when modulus of sub grade reaction varies from 0.01 to 0.050 N/mm3. The following conclusions have been drawn from the study, The percentage difference of shear force and bending moment in the beam, The axial load, shear force and, bending moment values in the column, and The bending moment values (Mx)&(Mz) in the shell and footing settlements in the shell for various aspect ratios of the frame obtained from both conventional and finite element analysis are not having considerable difference. Comparing numerical analysis which considers soil interaction with the conventional method, the conventional analysis is shown higher values SF and B.M in the beam, footing and columns. In conventional analysis it is assumed that the footings are resting on a rigid medium so footing settlements are zero. While observing the footing settlements in reality they undergo with some settlement therefore these settlement values are observed for numerical analysis which are used for the design to satisfy codal requirements. 07 30 2019 2875 2881 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2149.078219 https://www.ijrte.org/portfolio-item/B2149078219/ Research scholar, Sri Chandra sekhar Indra Saraswathi Viswa Maha vidyalaya University, Kanchipuram & Asst. Professor, Dept. of CSE, Manipal Institute of Technology, MAHE, Manipal B. Kishore V. Vijaya Kumar Professor & Dean , Dept. of CSE & IT, Aurag Group of Institutions , Hyderabad, Telangana, India, The various classification methods proposed in the literature are mostly extracted either local features or global features or color features. After an exhaustive study on various local, global and color descriptors this research found that one type of features may not yield good classification results. To address this paper, proposed new variant that integrates the color features derived from HSV color plane and transition based scan features. This paper initially converted RGB color plane image in to HSV color plane. The individual histograms of H, S and V plane are extracted as one of the features and these are named as pure color features. This paper derives a novel extension to the exiting motif frame works of the literature. The proposed ternary transition motif matrix (TTMM) is completely different from the existing motif frameworks and it is derived on the V-plane of the HSV color model. The TTTM scans the given 2x2 grid in a fixed format by visiting each pixel position exactly once. The TTMM derives a ternary transition pattern based on the relationship between grey level intensities of current pixel and its immediate pixel of scan instead of traversing on the incremental difference. The proposed TTMM derives a unique code for each 2x2 grid, ranging from 0 to 80 and replaces the 2x2 grid with this value. The co-occurrence matrix derived on this ternary transition motif (TTM) coded image is named as TTMM and it holds the spatial relationship between the TTM coded grids. The gray level co-occurrence matrix (GLCM) features derived on TTMM are integrated with the pure color features to derive final feature vector. This descriptor is applied on six popular databases using machine learning classifiers. The results are compared with existing motif based and other local based approaches. The results exhibit the high classification rate of the proposed method over the existing ones. 07 30 2019 1499 1508 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2150.078219 https://www.ijrte.org/portfolio-item/B2150078219/ Computer Science and Engineering, Annamalai University, Chidambaram, India, V. Vijayalakshmi K. Venkatachalapathy Division of Computer and Information Science, Annamalai University, Chidambaram, India. Prediction of student performance is the significant part in processing the educational data. Machine learning algorithms are leading the role in this process. Deep learning is one of the important concepts of machine learning algorithm. In this paper, we applied the deep learning technique for prediction of the academic excellence of the students using R Programming. Keras and Tensorflow libraries utilized for making the model using neural network on the Kaggle dataset. The data is separated into testing data training data set. Plot the neural network model using neuralnet method and created the Deep Learning model using two hidden layers using ReLu activation function and one output layer using softmax activation function. After fine tuning process until the stable changes; this model produced accuracy as 85%. 07 30 2019 5073 5081 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2155.078219 https://www.ijrte.org/portfolio-item/B2155078219/ Ph.D pursuing from Shobhit University, A.P. at M.I.E.T. ,Meerut, India Swati Sharma Dr. Mamta Bansal C.S. , Shobhitt University, Meerut, India. In our digital India, the use of social media like twitter, blogs and various forums is growing with the rapid rate. Thus the size of the data is becoming big day by day and in the span of this type of high varied and volume data, manual analysis would be a clumsy job. So, there is an alarming rate to analyze that large amount of data to make it suitable for analysis purpose. As a most elaborate open source platform, R has immeasurable user communities that thrives and perpetuate a huge amount of text analysis packages. So, in this paper we are analyzing movie related tweets using machine learning in R. 07 30 2019 2038 2040 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2157.078219 https://www.ijrte.org/portfolio-item/B2157078219/ Department of Civil Engineering, University Malaysia Sarawak (UNIMAS), Kota Samarahan, 94300 Sarawak, Malaysia. Ching Vern LIOW Darrien Yau Seng MAH Department of Civil Engineering, University Malaysia Sarawak (UNIMAS), Kota Samarahan, 94300 Sarawak, Malaysia. Mohd Remy Rozainy bin MOHD ARIF ZAINOL School of Civil Engineering, Universiti Sains Malaysia, Nibong Tebal, 14300 Penang, Malaysia. Prior to any construction work related to stormwater, it is preferable to involve a computer-based modelling. This paper outlines two different computer-based modelling tools to model a green technology named StormPav Green Pavement. In determining befitting software for use, two key factors are considered: (i) fast model construction (ii) provision of an affordable design model. To meet these key factors, the Storm Water Management Model (SWMM), and InfoWorks Collection System (CS) are deployed in this study. The predictive results of the two models are compared for different design storm durations under 10-year Average Recurrent Interval (ARI). The predictive results suggest that both models are compatible. Yet, SWMM is preferable to model StormPav Green Pavement as it could provide reasonably fast model construction and the software tool is an open source software used worldwide. 07 30 2019 1449 1452 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2158.078219 https://www.ijrte.org/portfolio-item/B2158078219/ Samara State Transport University, Russia. Liudmila P. Luneva Liliya A. Meteleva Togliatti State University, Russia. Aygul Z. Ibatova Tyumen Industrial University, Russia A special role in the development and improvement of speech culture in the society belongs to the teacher. The word as his main instrument must be the model of verbal intelligence, the model of high speech culture. This article deals with the typical lecturer’s speech errors and investigates means to avoid errors during the specialized course in the system of professional development. This article presents analysis and monitoring of speech etiquette of teachers of different subjects, highlights experience of how to refer to spell books and various dictionaries and introduces different ways of improving communicative activity through the system of professional development at Samara State Transport University. 07 30 2019 1509 1514 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2160.078219 https://www.ijrte.org/portfolio-item/B2160078219/ Electronics & Communication Engineering, GMR Institute of Technology, Andhrapradesh, India. M. Kathirvelu V. Parimala Electrical and Electronics Engineering, PACET, Pollachi Tamilnadu. The increasing frauds in fuel filling process have become a big deal to the society. The pumps in petrol bunks are controlled with the end goal that it shows the fuel filled into vehicle as entered, yet the amount of fuel filled is not exactly shown by the display. The petrol bunk proprietors are making enormous benefits by tricking the clients. This is redressed through estimation of approaching fuel through flow rate sensor and showing it on the LCD display and the measured output is sent as a message by means of global system for mobile communication (GSM) technology to the enlisted user for undeniable record can be made. This would help the proprietors of transportation companies to keep up a record of their vehicles that are run by their paid drivers. if the petrol in the tank is less than threshold value then LED glows continuously until the petrol is filled and it display the distance of the nearby petrol bunks by using the global positioning system (GPS) and is displayed on LCD. 07 30 2019 1515 1518 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2161.078219 https://www.ijrte.org/portfolio-item/B2161078219/ Department of Centre for Climate Change and Water Resource, from Suresh Gyan Vihar University, Jaipur, India. Saurabh Sharma Dr. Suraj Kumar Singh Department of Centre for Climate Change and Water Resource, from Suresh Gyan Vihar University, Jaipur, India. Dr. Varun Narayan Mishra Department of Centre for Climate Change and Water Resource, from Suresh Gyan Vihar University, Jaipur, India. In digital era, internet is an essential component of human being. The population of Alwar district is using internet resources and technology in abundance. But in recent years, it experienced a huge development in technology that reached to dark zone. In this work, we have studied internet facility based on Gram Panchayat levels to spread fiber optical cable for its accessibility to daily users. We have identified fiber optical cable with fault detection based on joint activity of cable and splitter in order to map issues using GIS platform. The Fiber Fault Localization System (FFLS) operates on ensemble of algorithms that maps, extricates, correlate and localize the fault by utilizing geographic data with remote sensing images. Centralized fiber fault localization requires (Optical Time Domain Reflectometer) OTDR to be integrated at OLT. A particular OTDR is obligatory per OLT to provide all the PONs of an OLT.We can used mobile application to capture OLT, ONT, splitter,Joint,BJC,SJC line and other object for identifying actual position of asserts with physical check. In which test fiber line using PON OTDR from one OLT to other connected splitter and ONT in Gram Panchayat. 07 30 2019 2041 2045 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2162.078219 https://www.ijrte.org/portfolio-item/B2162078219/ Information Systems Department, School of Information System, Bina Nusantara University, Jakarta, Indonesia. Sulistyo Heripracoyo Harjanto Prabowo Management Department, BINUS Business School, Bina Nusantara University, Jakarta, Indonesia. Raymond Kosala Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia. Ford Lumban Gaol Computer Science Department, Doctor of Computer Science, Bina Nusantara University, Jakarta, Indonesia This paper aims at examining the effect of cloud computing and big data management on innovation capabilities with particular reference to the context of digital creative industries. For that purpose, both qualitative and quantitative methods were applied in the study. Accordingly, quantitative data were gathered from an empirical survey as well as qualitative data gathered from focus group discussions. The results provide a descriptive data in the implementation of cloud computing and big data management as well as innovation capability and performance in the digital creative industry. Statistical analysis shows that cloud computing, big data management, and innovation capability simultaneously affect the company's performance significantly. However, there was no significant effect, either simultaneously or partially, of cloud computing and big data management on innovation capability. This study provide a benchmark of how the management of information technology can influence the implementation direction of cloud computing and big data management in the digital creative industries’ innovation capability. The findings also provide a new knowledge in a literature on performance improvement in the digital creative industries. 07 30 2019 1519 1523 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2165.078219 https://www.ijrte.org/portfolio-item/B2165078219/ Computer Science Department, BINUS Graduate Program – Doctor of Computer Science, Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia. Reina Setiawan Widodo Budiharto Computer Science Department, BINUS Graduate Program – Doctor of Computer Science, Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia. Iman Herwidiana Kartowisastro Computer Science Department, BINUS Graduate Program – Doctor of Computer Science, Computer Engineering Department, Faculty of Engineering, Bina Nusantara University, Jakarta, Indonesia. Harjanto Prabowo Computer Science Department, BINUS Graduate Program – Doctor of Computer Science, Management Department, BINUS Business School - Undergraduate, Bina Nusantara University, Jakarta, Indonesia. In learning management system, a discussion forum, in which the students and lecturers are involved actively as part of the learning method, enriches the context of communication, thereby enhancing the students’ learning and performance. The aim of this paper was to determine the appropriate topics for a discussion forum for learning management systems through enhanced probabilistic latent semantic analysis (PLSA) with the corpus classifier algorithm. In preparing the paper, the methods used were PLSA and the classifying process, which classifies the documents to become a corpus based on the similarity word approach. The similarity word is influenced by the term-frequency of the word in the document. The novel concept in this paper is the corpus classifier algorithm. The experiment was conducted using three approaches to discover the topic, and it used 4,868 distinct words from 234 documents. The documents were contained in three threads subject. The post of the discussion forum is the text document. The performance of the result was measured by the f-measure, which was calculated for each thread subject. The corpus classifier algorithm was used in the second approach, and third approach increased the average f-measure values for the second and third thread subjects by approximately 24 and 17%, respectively. 07 30 2019 1521 1530 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2166.078219 https://www.ijrte.org/portfolio-item/B2166078219/ Doctor of Computer Science, Bina Nusantara University, Indonesia. Noprianto Benfano Soewito Computer Science Department, BINUS Graduate Programs, Bina Nusantara University, Jakarta, Indonesia. Ford Lumban Gaol Doctor of Computer Science, Bina Nusantara University, Indonesia. Bahtiar Saleh Abbas Doctor of Computer Science, Bina Nusantara University, Indonesia. User interface plays an important role in an application: it is what users directly see and feel. It is also what programmers spend much time on. Therefore, many tools to ease the user interface development are available. Many of them are part of integrated development environment (IDE) of programming languages. Some of them are more generic and available for a few user interface toolkits or programming languages. However, these tools usually assume their users are targeting specific platform: desktop, web, or mobile application. While generic tools are sometimes generous enough, they usually cannot make it totally independent of underlying toolkit or programming languages. Modeling tools exist, but it means learning something new. This is one of the backgrounds for what we propose in this paper. An application user interface model based on spreadsheet: software packages that have been around for almost four decades. We emphasize multiplatform output: design once and output in several platforms (we provide two: desktop and web; adaptable to more). We do not assume a specific toolkit or programming language, but we still care about styles. Our experiments prove this method is usable and results in quicker user interface prototyping—even for professional programmers—with development time comparison ranging from 26.7% (best) to 80%. 07 30 2019 1531 1535 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2167.078219 https://www.ijrte.org/portfolio-item/B2167078219/ Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta, Indonesia Arta Moro Sundjaja Sri Bramantoro Abdinagoro Management Department, BINUS Business School Doctor of Research in Management, Bina Nusantara University, Jakarta, Indonesia Ford Lumban Gaol Computer Science Department, BINUS Graduate Program – Doctor of Computer Science, Bina Nusantara University, Jakarta, Indonesia Bahtiar Saleh Abbas Management Department, BINUS Business School Doctor of Research in Management, Bina Nusantara University, Jakarta, Indonesia The purpose of this study is to test the validity and reliability of user motivation, user expectation, the Facebook Fan Page usage experience, and intention to use a museum’s Facebook Fan Page. Most museum managers in Indonesia have used Facebook as a medium for promotion and education, but no research has been done to observe the impact of this implementation. This study applied descriptive statistical analysis (descriptive statistics) and confirmatory factor analysis using AMOS. The sample comprised 270 respondents. The questionnaire was developed and distributed through museum or cultural Facebook groups. This paper analyzed respondent demographics and the validity and reliability of user motivation, user expectation, the Facebook Fan Page usage experience, and the intention to use a museum’s Facebook Fan Page. 07 30 2019 1453 1457 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2170.078219 https://www.ijrte.org/portfolio-item/B2170078219/ School of Mathematics, Shri Mata Vaishno Devi University (SMVDU), Katra (182320), J & K, India. Surender Singh Sonam Sharma School of Mathematics, SMVDU, Katra (182320), J & K, India. The role of the fuzzy sets is eminent in the study of the ambiguous type of information. Generalizations and extensions of fuzzy sets have led to a broader analysis of these types of researches. In this communication, we suggest a generalized knowledge measure of an intuitionistic fuzzy set (IFS). We compare several existing intuitionistic fuzzy entropies and knowledge measures with our proposed intuitionistic fuzzy (IF) knowledge measure which indicates that the proposed IF-knowledge measure has a greater ability in discriminating different IFSs. We also apply our proposed intuitionistic fuzzy knowledge measure in multi-attribute decision-making (MADM) problem by using combined weights i.e., objective and subjective attribute weights. 07 30 2019 1530 1542 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2186.078219 https://www.ijrte.org/portfolio-item/B2186078219/ Assistant Professor,Dept of ECE,Annamalai University Chidambaram B. SUDHAKAR E.V. ABHINAYA Dept of ECE,Annamalai University,Chidambaram In wireless networks 6LOWPAN with the low power wireless devices has limited processing capabilities. In this network, the malicious node attacks at the network layer due to its nature of self configuration and dynamic network formation. It increased number of packet dropping attacks in network layer like Black Hole attacks and Worm Hole Attacks may cause the undesired operations in the time of routing the packet transfer. It degrades the performance of the legitimate users in the network. This work proposes an Efficient Network Discovery Storage Based Resilient Packet-Forwarding Scheme for the mitigation of malicious black hole and wormhole attacked nodes in 6Lowpan Sensor Networks. It also cooperates to manage the storage and prevent packet drop of sensor nodes present in the 6lowpan network. 07 30 2019 1543 1547 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2187.078219 https://www.ijrte.org/portfolio-item/B2187078219/ PG Research Scholar, Dept. of Electrical Engineering, JNTUA, Anantapur, AP, India. N. Priyadarsini M.Ramasekhara Reddy Assistant Professor, Dept. of Electrical Engineering, JNTUA, Anantapur, AP, India. M.Vijaya Kumar Professor, Dept. of Electrical Engineering, JNTUA, Anantapur, AP, India. The blade pitch angle is the vital part of wind energy system in getting desired output power. PID controller with the modified gains is considered as flexible and is administered for the regulation of blade pitch angle of turbine in this paper because of its lucidity, intermittent in its functionality and with easy usage in control system. FLC has powerful approach for collecting wind turbine response over PI controller where the speed and generator output power acting as input control variables for FLC with which these variables are evenly responsible to maintain proper aerodynamic power and its speed at rated value without any disturbance in output power and at gust speeds, the intelligent algorithms are been implemented to control the pitch angle upon adjusting the angle between the chord line of blades by adopting to new learning techniques as per the data collected. ANFIS had both the features of ANN and Fuzzy Logic Controllers by using Particle Swarm Optimization which gives the better response over the typical PI controller. This paper gives the information of supremacy of FOPID controller with PSO tuning over the other existing controllers. The dominance of the proposed method is made evident with the simulation results using 9MW WTS using MATLAB Simulink. 07 30 2019 2046 2050 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2190.078219 https://www.ijrte.org/portfolio-item/B2190078219/ PG Student, Ramaiah University, Bangalore. Manish Bali Samahit Mohanty PG Student, Ramaiah University, Bangalore. Dr.Subarna Chatterjee Assistant Professor Ramaiah University, Bangalore Manash Sarma PG Student, Ramaiah University, Bangalore. Rajesh Puravankara PG Student, Ramaiah University, Bangalore. Accessibility to medical knowledge and healthcare costs are the two major impediments for common man. Conversational agents like Medical chatbots, which are designed keeping in view medical applications can potentially address these issues. Chatbots can either be generic or disease-specific in nature. Diabetes is a non-communicable disease and early detection of the same can let people know about the serious consequences of this disorder and help save human lives. In this paper, we have developed a generic text-to-text ‘Diabot’ – a DIAgnostic chatBOT which engages patients in conversation using advanced Natural Language Understanding (NLU) techniques to provide personalized prediction using the general health dataset and based on the various symptoms sought from the patient. The design is further extended as a DIAbetes chatBOT for specialized Diabetes prediction using the Pima Indian diabetes dataset for suggesting proactive preventive measures to be taken. For prediction, there exists multiple classification algorithms in Machine Learning which can be used based on their accuracy. However, rather than considering only one model and hoping this model is the best or most accurate predictor we can make, the novelty in this paper lies in Ensemble learning, which is a meta-algorithm that combines a myriad of weaker models and averages them to produce one final balanced and accurate model. From literature reviews, it is observed that very little research has happened in ensemble methods to increase prediction accuracy. The paper presents a state-of-the art Diabot design with an undemanding front-end interface for common man using React UI, RASA NLU based text pre-processing, quantitative performance comparison of various machine learning algorithms as standalone classifiers and combining them all in a majority voting ensemble. It is observed that the chatbot is able to interact seamlessly with all patients based on the symptoms sought. The accuracy of Ensemble model is balanced for general health prediction and highest for diabetes prediction among all weak learners considered which provides motivation for further exploring ensemble techniques in this domain.” 07 30 2019 6334 6340 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2196.078219 https://www.ijrte.org/portfolio-item/B2196078219/ Research Scholar Department of Computer Science, Ramaiah University, Bangalore, (Karnataka), India. Anuradha Yenkikar Manish Bali Adjunct Professor, Department of Computer Science, IT-ADT University Pune, India. Narendra Babu Associate Professor, Department of Computer Science Engineering, Ramaiah University, Bangalore, (Karnataka), India. Predicting stock market trend is an extremely complicated task and calls for extensive study and insights into the context at hand. Primary requirement for any investor is to assess this trend to help invest for maximizing his returns. The advances in Machine learning and data analytics in particular have changed the way investors can approach this matter. Sentiment analysis or Opinion mining can be carried out by taking into consideration public sentiments regarding the stock market conditions and to understand the ups and down of this most volatile sector. In this paper, public sentiments from Twitter along with news feed related to the stock market conditions for predicting the nature of market is considered to analyse the stock market trend. The data is collected from twitter and various news sites to generate a gross sentiment score regarding the market. The gross sentiment score is used to find a correlation between market price and sentiments to train the proposed models for prediction using Linear and robustness regression techniques such as Ordinary Least squares (OLS), RANSAC, Theil-Sen estimator, Huber Regression and Ridge regression. Ensemble method is used to achieve reliable and better prediction accuracy instead of a single method. Ensemble method combines models and carries out majority voting among them to produce one final model to increase prediction accuracy. The obtained results reveal that public opinion does make a significant impact on market behaviour with the prediction accuracy between 65-91% depending on the dataset. 07 30 2019 6445 6452 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2197.078219 https://www.ijrte.org/portfolio-item/B2197078219/ School of Computer Science and Application, REVA University, Bangalore, India. Vimala M Rajeev Ranjan School of Computer Science and Application, REVA University, Bangalore, India. There are major advancements in the technological fields, which include the smart farming with the IoT, Big-data, Cloud-service oriented architectures along with the internet etc. While considering the current situation in the field of agriculture, there are many issues being faced. Some of the major problems are climatic-changes, lack of the fresh-water availability, much barren lands and decrease in the farming lands, less power availability, etc. The agricultural architecture that are cloud-based or the cloud-service oriented architecture includes the monitoring of farming and the warehousing-information. In this paper, we provide a work on IoT, aerial images and SOA and how they can be applied on the large and the smart farming systems, which is scalable and that can be easily configured. An event-driven SOA is necessary to facilitate the flawless and significant information and integration of distributed and heterogeneous internet agricultural services to help real-time user preferences. 07 30 2019 6349 6352 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2202.078219 https://www.ijrte.org/portfolio-item/B2202078219/ School of Computing & Information Technology, REVA University, Bangalore, India. Shilpa V Rajeev Ranjan School of Computer Science and Applications, REVA University, Bangalore, India. a huge development of wireless users traffic and the deficiency of accessible resources has led to new difficulties for future cell systems. Nowadays our network needs to deal with extensive measure of traffic and serve a large number of customers. It is exceptionally difficult for a solitary server to deal with such tremendous burden. Since, the architecture of 5G is highly advanced by using SDN and NFV, its network elements and various terminals are characteristically upgraded to afford a new solution for these traffic issue. In this paper we proposes a data offloading algorithm by forwarding the traffic between cellular network, femtocell and Wi-Fi network in order to reduce the overall burden on cellular network. We also proposes a load balancing technique which will manages the available network resources between the incoming user requests and existing users. The proposed traffic offloading algorithm uses an SDN controller for i) making the decisions of forwarding data between femtocell network, Wi-Fi and cellular network. ii) it also uses controller for taking the decisions in balancing the load of users with the existing the resources. 07 30 2019 6353 6358 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2203.078219 https://www.ijrte.org/portfolio-item/B2203078219/ Rajagiri Business School, Kochi, India. Rose S Sreejith R Asst. Professor, Rajagiri College of Social Sciences, Kochi, India. Senthil S Director, School of CSA, REVA University, Bangalore India. The proposed paper exhibits a study that uses Twitter to identify and assess client perception in the fast food industry. The intention behind the research is to measure the customer discernment about the product and the services by observing and inspecting the public twitter comments, to disclose the insights on whether the customers are satisfied or not satisfied with the brand and to predict the business growth and do further improvements accordingly.The methodology in the paper incorporates the text-based analysis using Support Vector Machine (SVM), which is a classifier that helps to classify the negative and positive words. In this approach, 10,000 public tweets about the customer services of three fast-food organizations were extracted. The text-based analysis (also known as word-based analysis) was conducted using R-programming by calculating the NPS value, highlighting the most negative and positive words.From the study, the negative and positive words in the Twitter comments for McDonald's, Pizza Hut and Burger King were extracted showing the customer perception towards these three companies. Along with this, the NPS score for each of the company was also found out.The Paper shows how text mining of tweets can be utilized in market research to help in revealing the customer perception of any product or service offered by McDonald's, Pizza Hut and Burger King. 07 30 2019 6359 6366 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2205.078219 https://www.ijrte.org/portfolio-item/B2205078219/ Rajagiri Business School, Kochi, India. Karan George Sreejith R Asst. Professor, Rajagiri College of Social Sciences, Kochi, India. Senthil S Director, School of CSA, REVA University, Bangalore India. Promoting organizers such as marketing planners frequently utilize geographical information systems to single out appropriate retail stores, setting up advertising campaigns based on regions, and target direct showcasing exercises. Geographical information systems topical maps encourage the visual evaluation of regions. A wide arrangement of elective symbolization, for example, circles, bars, or shading, can be utilized to represent quantitative geospatial data on such maps. In any case, there is little learning on which sort of symbolization is most viable for each case. In a huge scale exploratory study, the creators demonstrate that the symbolization firmly impacts choice execution. GIS-based representations encourage the evaluation of store areas and help organizers to choose the most encouraging options. The choice of the best option requires a visual streamlining which is supported by GIS topical maps. In this study, the manner in which how various GIS-based information portrayals impact advertising analyst’s decision making for online food delivery platforms is explored. The outcomes demonstrate that GIS maps are an important piece of work and that sort of guided representation impacts the initiated decision-making process. 07 30 2019 6453 6458 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2206.078219 https://www.ijrte.org/portfolio-item/B2206078219/ Student, Rajagiri Business School, Kochi, India Tom Joe Sreejith R Asst. Professor, Rajagiri College of Social Sciences, Kochi,India Kannan Sekar Asst. Professor, Rajagiri Business School, Kochi, India, Store layout is a crucial factor for attracting customers in a retail store. Use of appropriate store layout results in an increase in sales of the store. Grid layout, free flow layout, spine layout is a few commonly used store layouts in the retail store. The grid layout is used for supermarkets but the placement of different products as per the preference of the customer is quite an arduous task there. Purchase history of a supermarket can be utilized to predict the preferences of the customers and can be utilized as an aid for designing a better store layout. Market basket analysis is employed to get insights from the POS data of the supermarket. Market basket analysis (MBA) helps to extract the various association rules from the purchase data of the shoppers. A customer can pick different items identified with the items that the person has just put in his or her shopping basket or cart which frames an association rule. The extraction of such rules can help in the appropriate product placement in the store as per the shopper’s preference. 07 30 2019 1459 1463 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2207.078219 https://www.ijrte.org/portfolio-item/B2207078219/ Computer Science Department, Reva University, Bangalore, India. Darshan Shah Dr. M. Vinayakmurthi Computer Science Department, Reva University, Bangalore, India. Dr. Anand Kumar M.S. Engineering College, Bangalore, India. Current techniques for Virtual machine placement in cloud data center is avoiding multiple resources due to its complexity and hardness of the problem. Due to this each Virtual Machine Placement increased overall frequency of server consolidation and migration. In this paper, we have overcome these limitations by providing local search-based unified approximation framework which utilized multiple resources of server and reduced the frequency of server consolidation and migration. The framework is evaluated on Azure cloud data center benchmark data sets and it has surpassed existing methods with improvement by 32% in overall virtual machine placement. 07 30 2019 6464 6468 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2208.078219 https://www.ijrte.org/portfolio-item/B2208078219/ Research Scholar, School of Computer Science & Applications, REVA University, Bengaluru Mr. Mahabaleshwar Kabbur Dr. V. Arul Kumar Assistant Professor, School of Computer Science & Applications, REVA University, Bengaluru Vehicular Ad Hoc Networks (VANETs) is an emerging wireless data communication technology in computer network, which communicates dynamically to exchange and share real time information between vehicles on roads. This network architecture considers vehicles as nodes and information as packets for communication. Vehicles create an autonomous network with assistance of RSU (Road Side Units). This technology supports real time alert systems to broadcast emergency messages to the police, ambulance and drivers of the vehicles in some unexpected situations like traffic emergency, accident, road conditions, vehicle tracking, whether conditions and message monitoring. Since these nodes operate in a physically insecure environment in the range of 100 to 300 meters circumference. Security is a challenging issue for the technology to provide secured prominent approach for routing. Like other networks VANET network is also prone to various attacks. Timing and DoS is done by capturing the messages in VANET and replaying them at later point of time in bulk, such that RSU and vehicle resources are wasted in processing those messages. We need to have a technology by virtue of which network nodes (vehicles) should be smart enough to manage road safety at their own. In this paper RSU assisted DoS attack detection and prevention technique is proposed for VANET. The proposed method is based on RSU message temporal signature with detection and prevention, build over the RSU message attestation technique. 07 30 2019 6371 6377 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2210.078219 https://www.ijrte.org/portfolio-item/B2210078219/ Professor and Director, School of Computer Science and Applications, REVA University, India. Dr. S. Senthil Ayshwarya B currently pursuing Ph.D. from REVA University, Bangalore Dr. Shubha. A Director and Professor-School of Commerce and Management Studies Lung cancer is considered to be the one among the most dreaded disease which will be the main reason for the death of individuals and having greater deterioration of death if it is not identified at primitive stage. Because of the fact that Lung cancer could be identified only after spreading to the parts of lungs to a greater extent and it is very tough to predict the presence of lung cancer at the earlier stage. Moreover, it involves greater error in the diagnosing the presence of Lung cancer by Radiologists and Expert Doctors. Therefor it is compulsory to design an intelligent and automated system for accurately predicting the cancer and stage at which the stage of cancer or enhancing the accuracy of prediction for detecting the cancer at earlier which will be much helpful in deciding the treatment type and depth of the treatment based on the extent of disease. Currently application of ANN strategies are the influential ways in supporting expert doctor for examining, complicated medical increase across a wider category of medical application. Back Propagation Network are ideal in recognizing lung cancer and there is no requirement involvement by expert doctors. Maximum number of applications of BPN in medical diagnosis will be utilized in the applications related to decision making of the presence or absence of disease; by which the performance will be reliant over the considered features and allocating the patient with minimum number of classes. Here this research paper establishes the idea of using BPN in the classification of the lung cancer and its stages and the predicting the possibility of recurrence. Along with the BPN, a nature inspired Meta Heuristics that is termed as Ant Lion Optimization Algorithm is used in optimizing the parameters and weights of Back Propagation Network. By using the Ant Lion Optimization Algorithm, the convergence mechanism is improved along with improving the accuracy of the proposed technique and it avoids the chance of getting caught within the clutches of local minima. By using this proposed method BPN network optimized with the help of antlion optimizer more accurate prediction of lung cancer is possible even at primitive stage and the predicting of chance of reoccurrence even after undergoing the appropriate treatment. 07 30 2019 6368 6391 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2211.078219 https://www.ijrte.org/portfolio-item/B2211078219/ School of Computer Science and Applications, REVA University, Bangalore, India. Kavitha Web usage mining is used to analyze the user browsing behavior among the web pages which can be further utilized in other applications like recommender system, personalized web pages, providing insight for better business functionality. Since this type of mining does not only depends on the user or web pages, conventional clustering techniques may not suit very well for the analysis. Biclustering techniques are used to discover the subset in the form of submatrices as objects and attributes of objects are considered symmetrically. Finding optimal biclusters is a critical research issue. This research proposes a hybrid swarm intelligence-based method having Particle Swarm Optimization combined with Leader Clustering method along with Uniform Crossover operator. The experimental study shows that the proposed method performs well than traditional biclustering techniques in terms of evaluation metrics. 07 30 2019 6392 6395 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2215.078219 https://www.ijrte.org/portfolio-item/B2215078219/ B G, Assistant Professor, holds MCA in Computer Applications from VTU and B.Sc. in Computer Science from Kuvempu University. Mrs. Deepa Dr. S. Senthil Professor and Director, School of Computer Science and Applications, REVA University, India. Breast Cancer Examination and Prediction are great provocations to the researchers in the medical applications. Breast Cancer Examination distinguishes benign from malignant breast lumps, Breast Cancer Prediction has great deal in foretelling when Breast Cancer is expected to reoccur in patients that have had their cancers excised. Feature Selection is considered to be the preliminary step used in process to find best subsets of attributes. In this paper authors confer about the performance of five classifiers Sequential minimal optimization (SMO), Multilayer Perceptrons, Kstar, Decision Table and Random Forest with and without feature selection. The results manifest that after implying two feature selection techniques such as Correlation based and information based with ranker algorithm there is an augmentation in the accuracy rate of the classifier. It has been observed that after through implication feature selection techniques accuracy of the classifiers such as SMO, Multilayer Perceptrons, Kstar, Decision Trees, and Random Forest are enhanced. 07 30 2019 6396 6399 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2216.078219 https://www.ijrte.org/portfolio-item/B2216078219/ Associate Professor. Department of Computer Science, St. Joseph’s College(Autonomous), Trichy Dr.L. Arockiam S. Sathyapriya Ph.D Scholar, Department of Computer Science, St. Joseph’s College(Autonomous), Trichy V.A. Jane Ph.D Scholar, Department of Computer Science, St. Joseph’s College(Autonomous), Trichy A. Dalvin Vinoth Kumar Assistant Professor, REVA University, Bangalore. Machine learning is a part of AI which develops algorithms to learn patterns and make decision form the massive data. Recently, Machine learning has been used to resolving various critical medical problems. Diabetes is one of the dangerous disease, which can lead to more complicated, including deaths if not timely treated. The study is designed for providing the prevalence of Diabetes Mellitus in Tiruchirappalli district using machine learning algorithms and it was detected that the polluted air causes diabetes disease and also increases the risk of that disease. This proposed work helps the people in preventing diabetes disease using various diabetic attributes with an aim to enhance the quality of healthcare and lessen the diagnoses cost of the disease. In future, the work done may be extended by considering many other attributes and by implementing it through various algorithms to improve the prediction accuracy of diabetes mellitus. 07 30 2019 6404 6403 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2219.078219 https://www.ijrte.org/portfolio-item/B2219078219/ School of CSA, REVA University, Bengaluru, India. Lokesh C K Dr. S. Senthil School of CSA, REVA University, Bengaluru, India In fast developing economies like India, there is fast depletion of agricultural lands and many people migrate to cities leaving agriculture. In these conditions effective yield prediction of crops is a must for planning food policies and securing food for the people. Import only at time of huge price rise is not a solution and predictive import of crops based on yield predicted is a way to keep food inflation under control. Towards this end, an Ensemble model for prediction of yield of India Rabbi Crops is proposed in this work. An Ensemble machine learning model is built based on past histories and macro climatic and monsoon conditions to forecast the yield for crops in work. 07 30 2019 6404 6407 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2220.078219 https://www.ijrte.org/portfolio-item/B2220078219/ Department of Computer Science and Applications, Maharshi Dayanand University, Rohtak, Haryana (India). Munisha Devi Nasib Singh Gill Department of Computer Science and Applications, Maharshi Dayanand University, Rohtak, Haryana (India). MANETs have specific features that can satisfy the mobility and heterogeneous requirement of the smart environment. Smart applications need high Mobility, Bandwidth, Reliability and less Packet Loss and Delays; therefore, it is important to provide good Quality of Service (QoS) in such applications. So there is a dire need of identifying and exploring the relevant protocols that may be adapted for IoT enabled the smart environment. The routing protocols in smart environments are accountable for connectivity among nodes, fairness, quality of service, etc. Protocol & path selection is the main strategies to design any mobile network. The chosen protocol must have the best in term of data integrity and data delivery. Hence the analysis of the protocols become an essential step. This paper presents various securities and safety-related issues of MANET-IoT system, and also advocate the requirement of enhancing routing protocols in a smart environment. In this research, a new enhanced cache update technique is introduced in MANET protocol to make it enable for the upcoming smart environment. The enhanced algorithm helps to detect the malicious node and remove the stale route present in the network, no matter which traffic mode is used and in which direction nodes are moving. Cache is upgraded in such manner that all nodes in the way are notified about the misbehaving node and its adjacent neighbors’ nodes will not use misbehaving node while searching for the route. Here the analysis has been done taking a various number of nodes. Packet Delivery and Packet Lost are two key parameters taken for analysis purpose. 07 30 2019 1548 1554 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2227.078219 https://www.ijrte.org/portfolio-item/B2227078219/ Research scholar, Department of Electrical and Electronics Engineering, Saveetha University, Chennai, India. Srinivasan P Dhandapani Samiappan Professor, Department of Electronics and Communication Engineering, Saveetha University, Chennai, India. A Switch type fault current limiter in coordination with DVR is presented in this paper for Wind turbine generators that consist of doubly fed induction generators in order to full fill Low voltage ride through requirements in grid systems. The position of in-statement, the simulation and the methods for enhancement of LVRT functioning are represented. Collaborative control between the STFCL and a combination of Reactive power control and Inductance emulating control are used to enable the doubly fed induction generator to generate reactive power and ensure that the system remains safe even during faults in the grid. A different type of fault conditions are examined under both normal conditions and while the proposed system is attached. 07 30 2019 2882 2886 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2230.078219 https://www.ijrte.org/portfolio-item/B2230078219/ Research Scholar, Department of Environmental Sciences, College of Science and Technology, Andhra University, Visakhapatnam, A.P., India. & Assistant Professor, Department of Civil Engineering, Vignan’s Foundation for Science Technology and Research, Deemed to be University, Andhra Pradesh, Guntur, A.P., India M.V. Raju P,V.V.Prasada Rao Professor and Head of the Department, Department of Environmental Sciences, College of Science and Technology, Andhra University, Visakhapatnam, Andhra Pradesh, India On Earth, among all Natural resources, soils are playing very important vital role for survival of many of living organisms. But insufficiency of the fertile soils are growing day by day to satisfy the requirements of the food, because of pollution, soil erosion, run-off and etc. at one side, Increasing per capita demand because of rapid growing population, increasing living standards conditions and many of such causes poses pressure on natural resources depletion, another side dumping of industrial effluents or wastes, use of various chemicals, agricultural runoffs, sewage wastes, etc. without any prior treatment are decreasing the quality of soil fertility, thereby reducing and getting poor quality food grains. In this quality characteristics of soil at Guntur district, Andhra Pradesh, entitled by collecting surface samples at various locations and horizon of Guntur area. From each horizon of the different profiles soil samples were collected. From the sites of interest surface samples numbering fifty nine were collected randomly in 24 mandals, which covers total region of area. To assess the potentiality of soils (SQI) for irrigation practices various parameters were estimated, parameter named as pH (negative logarithm of hydrogen ion concentration), Electrical Conductivity – EC (dsm-1), Potassium – K ((kgk2oha-1), Phosphorus – P ((KgP2O5ha-1) and also various essential parameters CEC, ESP, etc., were analyzed. 07 30 2019 3082 3086 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2235.078219 https://www.ijrte.org/portfolio-item/B2235078219/ is currently student of Computer Science & Engineering at Alakh Prakash Goyal Shimla University, Shimla. Manzamasso KPELOU Keshav Kishore currently working as Faculty of Computer Science & Engineering at Alakh Prakash Goyal Shimla University, Shimla. Mobile Cloud computing is define as the new paradigm, and in this new paradigm computational power is on demand service and accessible through mobiles and tablets. When user decides to go towards cloud computing, there is a risk of losing control on his own data. So providing security of the data during transmission and when saved on the cloud storage is a major issue. Any application relying upon an emerging technology should consider the different possible threats. The principal reason why people are afraid of using Cloud technology is that data security and integrity among all other issues involved in Cloud technology constitute a great challenge. As data security issues, access control as well as key management are also a reason why Cloud technology is not widely adopted. In mobile cloud computing, the security related to data involving data integrity, confidentiality, availability and traceability is the most critical concern of cloud users. As now mobile cloud is changing how users used to work over the network, by helping them in terms of cost and reduction of tasks complexity. Hence, it is very important for the user to be ensured that the transmission of the data is secure, that the consistency as well as the storage of the data on the cloud provider side is secured. Hence the necessity for developing trust security model is demanding. 07 30 2019 3405 3412 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2239.078219 https://www.ijrte.org/portfolio-item/B2239078219/ Department of Computer Science, Sri Guru Granth Sahib World University, Fatehgarh Sahib, Punjab, India. Kamaljit Kaur Dr. Kanwalvir Singh Dhindsa. Department of CSE & IT, Baba Banda Singh Bahadar Engineering College, Fatehgarh Sahib, Punjab, India Twitter displays a list of currently popular keywords and hashtags on the user homepage which are referred as trends. Trends play an important role in discovering the hottest emerging topics of discussion and also help in categorizing the tweets through which the user can easily find similar tweets in that group. Twitter provides its user with a list of top ten trending topics but these trends are general topics which are popular based on the user location and are not context sensitive. These suggestions are not personalized. This paper examines an application for finding personalized trending topics on Twitter. We propose a novel real time trend recommendation system referred as TrendNet that helps its users to find what is currently popular in their network of friends by considering both the tweet content and the social structure. Comprehensive experiments on real Twitter users having different interests were conducted in order to evaluate the effectiveness of the algorithm. The results demonstrate that our scheme provides more accurate and personalized recommendations of trends as compared to the existing scheme. 07 30 2019 1555 1560 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2240.078219 https://www.ijrte.org/portfolio-item/B2240078219/ Department of civil Engineering, M.Kumarasamy College of Engineering, Karur, India. Rubini S Balamurugan P Department of civil Engineering, M.Kumarasamy College of Engineering, Karur, India.. Opuntia and Neem leaf is a natural based bio-coagulation that can be utilized in bio-coagulation process of kitchen used water collected from the college (MKCE). Opuntia (prickly pear) and neem tree leaf (Azadirachta indicia) powder are used as a Bio-coagulant. Jar test was conducted and the treated samples were evaluated for pH, turbidity, hardness. The dosage of the Bio-coagulant utilized in jar apparatus is 0.2 to 1 g/L for both neem leaf and opuntia powder. The dosage for the Bio-coagulant solution utilized is 5 to 25mL/L. When the Bio-coagulant are utilized directly turbidity was reduced to 50%. When Bio-coagulant are partially utilized with alum the efficiency is about 95% for neemleaf powder and 96% for opuntia powder. So the process reduces the consumption of chemical to 50%. Opuntia and neem could be utilized as an effective natural Bio-coagulant since it costs less when compared with chemical coagulant. 07 30 2019 1561 1564 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2241.078219 https://www.ijrte.org/portfolio-item/B2241078219/