-74813b3e17f460286df12d 20220610082127407 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/ 11 30 2019 8 4 Department of Civil Engineering, National Institute of Technology Patna, Patna, India. Vishal Kumar Narnoli* Sanjeev Kumar Suman Department of Civil Engineering, National Institute of Technology Patna, Patna, India. Pavement evaluation requires the frequent assessment of structural and functional condition. Earlier functional assessment of pavement were rapid and non destructive whereas structural evaluation required destructive testing. With growth in technology the light weight deflectometer (LWD) and ground penetrating radar (GPR) replaced the destructive testing in most part of the world. This paper highlights the use of LWD and GPR as non destructive testing tool in pavement evaluation. LWD and GPR test were conducted on the granular material to investigate the composite modulus of layer for their quality assessment. LWD test results were found to be significantly affected by the base plate diameter, contact between plate and surface layer, whereas drop height does not show significant difference on composite modulus. GPR technology has showed its versatility in pavement layer thickness evaluation, void and crack detection, and sub surface exploration. Ground coupled GPR has been used for subsurface exploration. At project level pavement management system, the combined use of GPR and deflection testing device has resulted in effective monitoring of pavement structural capacity. Hence LWD and GPR had showed its effectiveness for quality control and quality assurance (QC/QA) in PMS. 11 30 2019 5166 5171 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7377.118419 https://www.ijrte.org/portfolio-item/D7377118419/ School of Mechanical Engineering, Lovely Professional University, Phagwara, India. Parveen Sharma* Ergonomic examination of mechanical workstations is phenomenally primary for overhauling the advantage and diminishing the musculoskeletal issue. This exhibits the survey on the examinations completed so far to isolate the various mechanical gatherings utilized for ergonomic examination. Study demonstrates that the broad piece of the specialists are revolved around examination of a solitary mechanical get together and its utilization expressly industry for isolating the issue. A few specialists focused on examination between no under two mechanical gatherings and picked the reasonableness of instruments unequivocally field. Two or three specialists finished a relative report utilizing unmistakable instruments and talked about the quality and deficiency of ergonomic examination contraption. While picking an unequivocal instrument for ergonomic examination it is basic to consider the unmistakable choices open and picking one is extraordinarily troublesome. This will make it less asking for to pick a suitable gadget for express ergonomic examination. 11 30 2019 5172 5176 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7378.118419 https://www.ijrte.org/portfolio-item/D7378118419/ Assistant Professor, Department of Electrical & Electronics Engineering, Kongu Engineering College, Perundurai, Erode – 638 060, Tamil Nadu, India P. Tamilarasu* V. Kumaresan Assistant Professor, Department of Electrical & Electronics Engineering, Kongu Engineering College, Perundurai, Erode – 638 060, Tamil Nadu, India. Dr.T. Gunasekar Assistant Professor, Department of Electrical & Electronics Engineering, Kongu Engineering College, Perundurai, Erode – 638 060, Tamil Nadu, India. Dr.T. Logeswaran Assistant Professor (Senior Grade), Department of Electrical & Electronics Engineering, Kongu Engineering College, Perundurai, Erode – 638 060, Tamil Nadu, India. M. Suresh Assistant Professor, Department of Electrical & Electronics Engineering, Kongu Engineering College, Perundurai, Erode – 638 060, Tamil Nadu, India. M. Suresh Assistant Professor, Department of Electrical & Electronics Engineering, Kongu Engineering College, Perundurai, Erode – 638 060, Tamil Nadu, India. Today most fuel filling stations have a microcontroller to deal with the electrical pumps, drive the show, live the number and thus shut down the electrical pump. Yet at the same time an individual is expected to accumulate the cash. These fuel pumps are time overpowering and need a great deal of labor. To place fuel stations in far off space is remarkably expensive to create brilliant office to the consumers. Due to the less availability of the workers, 24*7 operation of the petrol stations is not possible. These problems can be sorted out by means of this work which requires less time to work and is powerful which can be introduced anyplace. Our work provides the way to eliminate the cost associated with manpower working at fuel filling stations. The principle point of this work is to create a framework which is able to do routinely deducting the money of oil administered from consumer’s card dependent on RFID equipment. This work mainly aims to come up with a postpaid card for fuel bunk system and fuel dispensing system with RFID technology. This will be helpful for common man in his busy scheduled life and avoids fuel theft in fuel filling stations. 11 30 2019 4969 4973 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7379.118419 https://www.ijrte.org/portfolio-item/D7379118419/ Department of Informatics, School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India. Anupam Singh* Vivek Lokchand Shahare Department of Informatics, School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India. Nitin Arora Department of Informatics, School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India. Ahatsham Department of Informatics, School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India. Artificial Intelligence driven assistant system is a supporting system that is used to find path within limited defined area as well as it can be used for the automation purpose. The path finder feature helps to find the path between two places within limited defined area. This approach is very useful for the people who are new to the organization, as they do not know the path inside the organization. There exist a lot of artificial intelligence assistants that help people to solve their problem. So, here is the implemented system that solves the path related problems within the organization and also helps to automate the system. 11 30 2019 5177 5181 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7380.118419 https://www.ijrte.org/portfolio-item/D7380118419/ PG Department of Computer Application, North Orissa University, Baripada, India Jibendu Kumar Mantri* Suvendra Kumar Jayasingh PG Department of Computer Application, North Orissa University, Baripada, India Weather forecasting and warning is the application of science and technology to predict the state of the weather for a future time of a given location. The emergence of adverse effects of weather has endangered the life of general public in previous years. The unpredicted flood and super cyclone in many places have created havoc. The government and private agencies are working on its behaviours but still it is challenging and incomplete. But, the application of soft computing techniques in weather prediction has made a significant perfomance now a days. This research work presents the comparative study of soft computing techniques like MultiLayer Perceptron(MLP), Support Vector Machine(SVM) and J48 Decision Tree for forecasting the weather of Delhi with ten years data comprising of temperature, dew, humidity, air pressure, wind speed and visibility. This paper tries to describe the comparison among above models using four different error values like Relative Absolute Error(RAE), Mean Absolute Error(MAE), Root Mean Squared Error(RMSE) and Root Relative Squared Error(R2) with a proposed model by defining new algorithm. Further the performance can be enhanced if textmining will be applied in this proposed model. 11 30 2019 793 800 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7382.118419 https://www.ijrte.org/portfolio-item/D7382118419/ Research Scholar, Suresh Gyan Vihar University, Sandeep Bhargava* Bright Keswani Professor, Computer Application, Suresh Gyan Vihar University, Jaipur, India. Dinesh Goyal Professor, Poornima Instiute of Engineering & Technology, Jaipur, India, Evaluation of Internet of Things (IoT) technologies in real life has scaled the enumeration of data in huge volumes and that too with high velocity, and thus a new issue has come into picture that is of management & analytics of this BIG IOT STREAM data. In order to optimize the performance of the IoT Machines and services provided by the vendors, industry is giving high priority to analyze this big IoT Stream Data for surviving in the competitive global environment. Thses analysis are done through number of applications using various Data Analytics Framework, which require obtaining the valuable information intelligently from a large amount of real-time produced data. This paper, discusses the challenges and issues faced by distributed stream analytics frameworks at the data processing level and tries to recommend a possible a Scalable Framework to adapt with the volume and velocity of Big IoT Stream Data. Experiments focus on evaluating the performance of three Distributed Stream Analytics Here Analytics frameworks, namely Apache Spark, Splunk and Apache Storm are being evaluated over large steam IoT data on latency & throughput as parameters in respect to concurrency. The outcome of the paper is to find the best possible existing framework and recommend a possible scalable framework. 11 30 2019 8593 8596 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7383.118419 https://www.ijrte.org/portfolio-item/D7383118419/ Assistant Professor, Department of Electrical and Electronics Engineering, Sathyabama Institute of Science and Technology, Chennai Shyni S.M* Abitha Memala W Associate Professor in the Department of Electrical and Electronics Engineering, Sathyabama Institute of Science and Technology, Chennai. Bhuvaneswari pursuing Ph.D., faculty of Electrical and Electronics in Sathyabama Institute of Science and Technology. Judy Simon Assistant Professor. Department of Electronics and Communication Engineering, Jeppiaar Maamallan Engineering College. Energy management system is one of the challenging tasks associated with residential buildings. The cost of energy is purely based on the amount of energy consumed during peak hours. This paper focuses on an efficient energy management system for the control of energy consumption during peak hours. ZigBee module is used to monitor the energy consumed by the home appliances. The working of the proposed system is categorized into two modes of operation: normal time and peak time. During normal time, all home appliances can be operated and the cost of energy will be at normal rate. Whereas, during peak time, high rating machines will be shut down, that is controlled by ZigBee and the light loads will be operated from battery supply. Thus the proposed system reduces the energy consumption and is cost effective. Simulation analysis is done using proteus software. Hardware model is also implemented which proves that the proposed energy management system improves the energy efficiency. 11 30 2019 1406 1411 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7384.118419 https://www.ijrte.org/portfolio-item/D7384118419/ Research Scholar, School of Commerce and Business Studies, Jiwaji University, Gwalior. Mini Agrawal* Prof. K.S. Thakur Dean, Faculty of Commerce, School of Commerce and Business Studies, Jiwaji University, Gwalior. Prime Minister Narendra Modi launched a Skill India campaign on 15 July, 2015. This campaign goal is to train over forty crore candidates in India in different-different skills by 2022. Pradhan Mantri Kaushal Vikas Yojana (PMKVY) is a unique initiative that aims to offer meaningful, industry relevant, and skill based training to youth. Under this initiative, the trainees were offered a government certification and monetary reward on successful completion of training, which will help them to earn money or securing. So, the PMKVY was developed as a key measure to impart skill-based training to youth, enabling them to earn and support the anti-poverty efforts of the nation. Subsequently the last two decades, India's government has implemented many large national programs for vocational education, training and skill development to improve youth employment and earnings prospects. Since four years to PMKVY came into existence, it is essential to evaluate the role and impact of PMKVY. This paper analyze the impact of on productivity of youth in Gwalior Region, India 11 30 2019 801 806 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7385.118419 https://www.ijrte.org/portfolio-item/D7385118419/ Department of Electronics & Communication Engineering, Dr. A. P. J. Abdul Kalam University, Indore, (M. P.), India Rohit Nigam* Dr. Santosh Pawar Department of Electronics & Communication Engineering, Dr. A. P. J. Abdul Kalam University, Indore, (M. P.), India Dr. Manish Sharma D. Y. Patil College of Engineering, akrudi, Pune, India. This paper deals with the implementation of sub Nyquist sampling for the efficient wideband spectrum sensing in cognitive radio network. Cognitive radio is a very promising technology in the field of wireless communication which has drastically changed the spectral dynamics through the opportunistic utilization of frequency band by the secondary users when it is not utilized by the primary users. The complexity of spectral detection strategy is reduced using the compressive sensing method. Bayesian technique is utilized in the compressive sampling to deal with uncertainty of the process and increase the speed of detection. This technique recovers the wideband signals even with few measurements via Laplace prior and Toeplitz matrix. Sparse signal recovery algorithm is used for the extraction of primary user frequency location. The condition of the detection of primary user even in the low regulated transmission from unlicensed user is been resolved in this paper through Wavelet transform. This approach enables the evaluation of all possible hypotheses simultaneously in the global optimization framework. Simulation analysis is performed to verify the effectiveness of the proposed technique over the cognitive radio network. 11 30 2019 1412 1419 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7386.118419 https://www.ijrte.org/portfolio-item/D7386118419/ Software Engineer, Netskope, Bengaluru, India. Deepak Raj D S* Swarnalatha P Associate Professor, Department of Information Security, SCOPE, Vellore Institute of Technology. Continuous integration and Continuous Deployment (CICD) is a trending practice in agile software development. Using Continuous Integration helps the developers to find the bugs before it goes to the production by running unit tests, smoke tests etc. Deploying the components of the application in Production using Continuous Deployment, using this way, the new release of the application reaches the client faster. Continuous Security makes sure that the application is less prone to vulnerabilities by doing static scans on code and dynamic scans on the deployed releases. The goal of this study is to identify the benefits of adapting the Continuous Integration -Continuous Deployment in Application Software. The Pipeline involves Implementation of CI – CS - CD on a web application ClubSoc which is a Club Management Application and using unsupervised machine learning algorithms to detect anomalies in the CI-CS-CD process. The Continuous Integration is implemented using Jenkins CI Tool, Continuous Security is implemented using Veracode Tool and Continuous Deployment is done using Docker and Jenkins. The results have shown by adapting this methodology, the author is able to improve the quality of the code, finding vulnerabilities using static scans, portability and saving time by automation in deployment of applications using Docker and Jenkins. Applying machine learning helps in predicting the defects, failures and trends in the Continuous Integration Pipeline, whereas it can help in predicting the business impact in Continuous Delivery. Unsupervised learning algorithms such as K-means Clustering, Symbolic Aggregate Approximation (SAX) and Markov are used for Quality and Performance Regression analysis in the CICD Model. Using the CICD model, the developers can fix the bugs pre-release and this will impact the company as a whole by raising the profit and attracting more customers. The Updated Application reaches the client faster using Continuous Deployment. By Analyzing the failure trends using Unsupervised machine learning, the developers might be able to predict where the next error is likely to happen and prevent it in the pre-build stage. 11 30 2019 1426 1430 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7387.118419 https://www.ijrte.org/portfolio-item/D7387118419/ Assistant Professor, Department of ECE, Alagappa Chettiar Government college of Engineering and Technology, Karaikudi 630003 India. C.Karthika Pragadeeswari* G. Yamuna Professor and Head, Department of ECE, Annamalai University, Annamalainagar, 608002 India. A novel technique for tracking for tracking of objects in moving state is proposed to done by optical flow analysis which provide accurate results. In this Optical flow analysis, the velocity vectors of the pixels are obtained. As a result, velocity field is analyzed for the frame sequences which are considered and described for short duration of the video. This method doesn’t need to refer the previous frames which reduces the processing time and can be applicable for real time events. This novel algorithm produces better results with repeatability, uniqueness and reliability, compared to previous techniques. This method can be able to perform faster computation and comparison. This can be achieved by performing image convolutions for integral images followed by technical operations in the descriptors and detectors. Finally these methods can be simplified to the needed requirements. This leads to a package of better quality detection followed by description and recognition steps. The paper encircles a brief explanation of the algorithm and the results of simulation are also described in detail. 11 30 2019 5182 5188 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7389.118419 https://www.ijrte.org/portfolio-item/D7389118419/ Assistant Professor (Senior Grade), Department of Electronics and Communication Engineering, Kongu Engineering College, Perundurai - 638052, Erode District,TamilNadu, India Ms.Balambigai Subramanian* De-noising of electrocardiogram signals is of utmost importance to diagnose the cardiovascular diseases. Many techniques have been utilized for filtering and removing noise from the raw electrocardiogram signal, such as traditional Wiener methods, neural networks and wavelet decomposition methods. These methods may lead to reduction in the amplitude of the QRS complex. The recorded multichannel electrocardiogram signal is correlated and is difficult for analysis. A suitable technique to overcome these problems is the appropriate use of Independent Component Analysis to maximize the required statistical parameters to make the output to be correlated. This work relates the performance of three of the Independent Component Analysis Algorithms such as JADE (Joint Approximate Diagonalisation of Eigen Matrices), Fixed Point ICA (Fast ICA) and AMUSE (Algorithm for Multiple Unknown signals Extraction) by which the three channel signal was made uncorrelated so that the best signal among the three different channels can be identified for further processing based on the values of the Signal to Interference Ratio(SIR) obtained in each of the algorithm 11 30 2019 1420 1425 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7390.118419 https://www.ijrte.org/portfolio-item/D7390118419/ Associate Professor PG & Research Department of Computer Science,Dr.Ambedkar Government Arts College Dr K. Shyamala* C.S Padmasini Assistant Professor, Department of Computer Science,M.O.P Vaishnav College for Women(Autonomous) Customers are of paramount importance for running business enterprises. A K-Tree-Bayes model, when applied for the purpose of customer retention and business promotion, it retains them and their favorite choices. This model is extended to work in various aspects as and when new customers as well as existing customers provide their wishes and those data will become impertinent to improve the product in all aspects right from the manufacturing to reach to the customers. The model shows reasonable accuracy to predict the changing customer choices towards their desire to buy any automotive as companies are investing heavily on customer prediction thereby providing automotive of their choices to retain them forever. 11 30 2019 5189 5194 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7391.118419 https://www.ijrte.org/portfolio-item/D7391118419/ Research Scholar, Mechanical Engineering, Vignan’s Foundation for Science, Technology and Research (Deemed to be University), Vadlamudi, Guntur, AP-India Vimal Babu. *U Dr.Ramakrishna. M Dean, IQAC & Professor, Mechanical Engineering, Vignan’ Foundation for Science, Technology and Research (Deemed to be University), Vadlamudi, Guntur, AP-India, Dr.Naga Mani.M Senior Assistant Professor, School of Computer and information Sciences, University of Hyderabad, Gachibowli, Hyderabad, Telangana, India Sandeep Kumar School of Computer and Information Sciences, University of Hyderabad, Gachibowli, Hyderabad, Telangana, India Adulteration of Fuel is common feature among the trading community to get easy profits. Low cost similar boiling point range hydrocarbons, having alike composition are added as additives leading to modification and creates low quality when compared. to the base fuels. The existing methods of the addition of colours to the base fuels are a primitive method as the decolourant can be added to neutralize the colour of the end product. This paper will give the method of detecting the blending of fuel through image processing a better method. to the base fuels. The existing methods of the addition of colours to the base fuels are a primitive method as the decolourant can be added to neutralize the colour of the end product. This paper will give the method of detecting the blending of fuel through image processing a better method. 11 30 2019 807 813 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7392.118419 https://www.ijrte.org/portfolio-item/D7392118419/ Computer Science and Information Technology,Samhiggin bottom University of Agriculture andScience,Allahabad,India. Tahera mahmood* Tulika Computer Science and Information Technology,Samhiggin bottom University of Agriculture andScience,Allahabad,India Vehicular ad-hoc network (VANET) is in the offing as the most promising technology to resolve all kinds of traffic problems such as those related to traffic congestion, road mishaps, and address upbringing issue such as those pertaining to noxious emissions. In VANET, relevant information should be disseminated with a minimum bandwidth usage thus requiring an efficient and dependable multi-hop data broadcast protocol. Broadcasting play an important role in VANET to distribution of information from vehicle to all neighboring vehicle for some specific purpose. It reduces collision, contention, redundant messages and hidden node problem. It also improves the message reliability. Due to limited range of radio communication in VANET, all the vehicles may not be able to receive the broadcast data in a single hop. So multi-hop communication is needed. This article investigates and compares the various multihop broadcasting protocols 11 30 2019 5653 5658 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7395.118419 https://www.ijrte.org/portfolio-item/D7395118419/ Research scholar at Department of Civil Engineering SV National Institute of Technology Surat 395007, Gujarat, INDIA Madhura C.Aher* S.M. Yadav Professor & Head, Civil Engineering Department of Civil Engineering SV National Institute of Technology Surat 395007, Gujarat, INDIA The present study focuses to investigate the trend in the annual water and sediment discharge for Middle Godavari Basin. Daily data of stream flow and suspended sediment concentration is collected from 19 hydrometric stations. The trend was determined by applying Mann-Kendall and Sen’s slope estimator. The analysis of stream flow revealed that out of 19 stations, 17 stations reported decreasing trend and analysis of sediment discharge revealed that all 19 stations reported decreasing trend. Pettit test is carried out to identify the abrupt change in water discharge and sediment discharge. The present case study would be useful to the policy maker’s for effective management of water resources in the area. 11 30 2019 4780 4786 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7399.118419 https://www.ijrte.org/portfolio-item/D7399118419/ Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia (UTM) 81300 Johor, Malaysia Mohammed Salisu Alfa* Ani Bin Shabri Department of Mathematical Sciences, Faculty of Science, Universiti Teknologi Malaysia (UTM) 81300 Johor, Malaysia Muhammad Akram Shaari School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia (UTM) 81300 Johor, Malaysia This paper proposes Wavelet-Group Methods of Data Handling (W-GMDH) model to explore its ability of drought forecasting. The W-GMDH model was developed by combining Discrete Wavelet Transform (DWT) and GMDH model using the Standardized Precipitation Index (SPI) drought data for forecasting to assess the effectiveness of the new (W-GMDH) model. These methods were used on four SPI data sets (SPI3, SPI6, SPI9 and SPI12). To achieve this, a 624 month of SPI data from January 1956 to December 2008 was used and divided into two parts (80% for training and 20% for testing). The results of the W-GMDH model were then compared with the conventional GMDH model using Root Mean Square Error (RMSE), Mean Average Error (MAE) and coefficient of correlation as the performance evaluation measures. Both results of the proposed W-GMDH model and the GMDH showed very clearly that the propose method can achieve the best forecasting performance in terms of accuracy for each of the SPI data series. The key role played by the DWT is to smooth the analysis of SPI data obtained after the wavelet decomposition which is also used to decompose the SPI data into different number of component series to minimize the forecasting error. In all the results computed, the proposed model has a minimum error indicating its superiority over the GMDH model. This indicates that W-GMDH model’s performance has outweighed that of the conventional GMDH model in SPI drought forecasting. The research contributes to the discovering of viable forecasting of drought and demonstrates that the established model is good and appropriate for drought. In all the analysis W-GMDH model has the minimum error. The overall results showed that SPI12 has the minimum error among all the SPI data considered. 11 30 2019 1431 1435 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7402.118419 https://www.ijrte.org/portfolio-item/D7402118419/ Doctorant of Geographical Sciences, National University of Uzbekistan, Tashkent, Uzbekistan. Bayqabilov Khusnudin Mardanovich* Nigmatov Asqar Nigmatullayevich Doctorant of Geographical Sciences, National University of Uzbekistan, Tashkent, Uzbekistan. Mirackmalov Mirali Turanbayevich Doctorant of Geographical Sciences, National University of Uzbekistan, Tashkent, Uzbekistan. Karakulov Nurbol Maydanovich Geography Teacher, Tashkent State Pedagogical University, Tashkent State Pedagogical University, Tashkent, Uzbekistan. This article describes the state of geographical and toponomic aspects of the world countries’ names and its development trends. Physical and geographical peculiarities of names of the Europe region are cointrs. The names cointrs of the Europe of this territory are mainly names related to geographical location features of the place? Names associated with the relief, hydronums, phytonyms and zoonyms. 11 30 2019 814 819 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7403.118419 https://www.ijrte.org/portfolio-item/D7403118419/ Professor in ECE, Vardhaman College of Engineering, Hyderabad, India. Dr.G.A.E. Satish Kumar* Mr.M. Munindhar pursuing M.Tech from Vardhaman college of engineering,shamshabad,Hyderabad. There is increasin demand for smart widgets which make people more comfortable. Though many research works have done on current existing devices/systems for visually impaired people are not providing facilities them enough. The imperceptible people read Braille scripted books only, so here developing a new device that will assist the visually impaired people and also providing desired language reading facility. This smart assistive device will help visually impaired people gain increased independence and freedom in society. This device has an obstacle detection sensor to intimate the obstacles to the visually impaired person and a camera connected to Raspberry pi to convert image to text using Optical Character Recognition (OCR). The read data is converted to speech using text to speech synthesizer. This will useful for visually impaired people for surviving in outdoor environment as well as reading books which are in normal script. The read data can be stored in database for further reading and it can be retrieve by giving a command. 11 30 2019 1436 1440 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7404.118419 https://www.ijrte.org/portfolio-item/D7404118419/ Information Science and Engineering, Jyothy Institute of Technology, Bengaluru, India. Kishore G R* Dr.Shubhamangala B R Professor, Researcher Head, Bengaluru, India. Biological systems can be modeled using mathematical techniques to carry out in silico experiments and research. These models tend to have a lot of state variables and hence take a long time to simulate the model. Modern GPU architecture provides a framework for parallelizing computation-heavy processes. With the advent of GPU technology, it is increasingly used in the field of computational biology, aiming to reduce simulation times and increase the size of inputs. This paper surveys the use of GPU architecture in the field of biological modeling 11 30 2019 5195 5201 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7405.118419 https://www.ijrte.org/portfolio-item/D7405118419/ CASRAE ,Delhi Technological University, Delhi, India. Sunil kumar Sinha* Naveen Kumar CASRAE, Delhi Technological University, Delhi, India. Rajesh Kumar Mech. Deptt. Delhi Technological University, Delhi, India. From last three decades scientists have explored the alternative fuel to substitute petroleum diesel for CI engine. One of the promising alternative fuel is biodiesel which has potential to substitute the conventional fossil fuels in near future. In the present study the author has considered Karanja biodiesel blended with n-octanol as an oxygenated blend to evaluate the performance, emissions and combustion features of diesel engine. The obtained results were improved relative to mineral diesel. The increment of BTE by 10.40% and decrement of BSEC by 13.20% were observed by using the blend KME80O20compared with neat JME at full load . Significant reduction in emission of HC-15.68%, CO-44.73%, smoke opacity -19.31%compared than diesel and reduction in NOx 3.04 % compare to neat KME were observed for KME80O20.This signifies improved combustion characteristics while utilizing n-octanol up to 20% as blend with KME in CI engine. 11 30 2019 5202 5206 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7406.118419 https://www.ijrte.org/portfolio-item/D7406118419/ Research Scholar, Dept of CSE, GITAM University, Visakhapatnam, India. Swathi Sambangi* Lakshmeeswari Gondi Dept of CSE, GITAM University, Visakhapatnam, India. Cloud computing is a prominent computing model wherein shared resources can be given as per the customer request at a time. The available resources in the cloud are gathered to execute several tasks that are submitted by the customer. While implementing the tasks, there is a need to optimize performance in terms of execution time, response time and resource utilization of the cloud. The optimization of the mentioned factors in the Cloud Computing can be achieved by one of the major areas known as Load balancing which refers to dealing with client requests from diverse application servers that are functioning in the cloud. An efficient Load Balancing algorithm enables the cloud to be more proficient and enhances customer contentment. So, this survey paper highlights the latest studies regarding the application of Load Balancing techniques for task allocation such as resource allocation (RA) strategies, cloud task scheduling centered on Load Balancing, dynamic Resource Allocation schemes, and cloud resource provisioning scheduling heuristics. Finally, Load Balancing performance for task allocation methods is compared based on task completion time. 11 30 2019 5207 5213 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7409.118419 https://www.ijrte.org/portfolio-item/D7409118419/ Civil Engineering Department, Sri Venkateshwara College of Engineering, Bengalore, India. Revanasiddappa Madihalli* Dr. Latha M S Civil Engineering Department, Sri Venkateshwara College of Engineering, Bengalore, India. Dr. J K Dattatreya Civil Engineering Department, Siddaganga Institute of Technology, Tumkur , India. In recent years, it is found that there is an exponential increase in use of natural resources for infrastructure development of the country. Concrete is one of the most widely used materials for any infrastructural development activities. In this research an effort is made to utilize slag aggregates and bagasse ash in High Performance Concrete as partial replacement materials for M-Sand and cement respectively. A statistical approach called Taguchi method is used for deciding various combinations of replacement levels of alternate materials along with various levels of water cement ratios. L16 Taguchi orthogonal Array is utilized to decide experiment conduction matrix. Statistical analysis of the results was carried out using Analysis of Variance(ANOVA) and the optimum mix proportions of the High Performance Concrete for better strength and durability characteristics is arrived. It is found that the mix proportion containing water cement ratio of 0.3 with 10% replacement of cement by Bagasse Ash and 20% replacement of M-sand by slag sand gives satisfactory compressive strength and split tensile strength results. 11 30 2019 5214 5219 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7412.118419 https://www.ijrte.org/portfolio-item/D7412118419/ Manufacturing Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah, Malaysia Ahmad Razlee bin Ab Kadir* Nurul Na’imy Wan Head of Technical Foundation Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah. Baizura binti Zubir Manufacturing Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah, Malaysia. Muhamad Muzaffar bin Mansor Student, Bachelor of Engineering Technology in Mechanical Design, Universiti Kuala Lumpur Malaysian Spanish Institute. Kulim Hi-Tech Park, 09000, Kulim, Kedah, Malaysia. Pranesh Krishnan Intelligent Automotive Systems Research Cluster, Electrical Electronic and Automation Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah, Malaysia. Progressive die follows a sequence of processes in a single die at two or more stations. Design of progressive die is an essential phase in sheet metal manufacturing. Small error at any workplace causes huge manufacturing downtime due to die failure. In this analysis, current die design has low production rate when using multiple stations for sheet metalworking. Each process produced by multiple stations, which increases the loss of time. However, the choice of proper materials for sheet metal plate has become one of the vital features of progressive die design. Due to its long die life has become a requirement for lowering the cost of sheet metal mechanisms. The punch has very short life cycles. The purpose of this paper is to design a new 3D modelling of sheet metal forming die, to optimise a new chain link plate material to improve the performance of the punch component and to analyse the sheet metal punch to increase the punch lifetime cycle. The analysis was conducted by using ABAQUS/CAE to analyse the maximum and minimum stress of punch. The materials used are stainless steel, nickel plate and mild steel. The result of maximum stress obtained from ABAQUS/CAE is used in stress-lifetime prediction calculation. Based on the theory of stress-lifetime prediction, the lower the stress required to deform a material, the longer the life cycle of the punch. From this calculation, we can identify which material is the most suitable for chain link plate production. 11 30 2019 820 826 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7414.118419 https://www.ijrte.org/portfolio-item/D7414118419/ Manufacturing Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah, Malaysia. Ahmad Razlee bin Ab Kadir* Nurul Na’imy Wan Head of Technical Foundation Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah. Mohamad Sazali bin Said Head of Postgraduate Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah, Malaysia. Baizura binti Zubir Manufacturing Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah, Malaysia. Muhammad Zulhusni bin Ibrahim Student, Bachelor of Engineering Technology in Mechanical Design, Universiti Kuala Lumpur Malaysian Spanish Institute. Kulim Hi-Tech Park, 09000, Kulim, Kedah, Malaysia. Pranesh Krishnan Post Doctoral Researcher, Intelligent Automotive Systems Research Cluster, Electrical Electronic and Automation Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah, Malaysia. Stamping dies one of the essential industries in engineering. The sheet metal blanking procedure is a shearing operations. In the blanking procedure the sheet metal is detached from the bulky portion of stock through the application of shearing force on the sheet. Nowadays, the increase of gadgets and smart phone is because of the 4th industrial revolution. This situation leads the demand for micro parts that will include in electronic devices. The main problem occurred in sheet metal stamping is damage to the punch after running thousands of stamping process. This paper focuses on designing a micro blanking dieset that meet the industrial demand. The study is conducted using solidworks to design the micro blanking dieset and perform analysis using FEM. The result of FEA will be calculated using e-fatigue to get the lifecycle for the punch. 11 30 2019 827 833 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7416.118419 https://www.ijrte.org/portfolio-item/D7416118419/ Manufacturing Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah, Malaysia. Ahmad Razlee bin Ab Kadir* Mohd Zaki Bin Abdul Razak Manufacturing Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah, Malaysia. Norzalina bt Othman Head of Academic Services Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah. Muhammad Izham Arief Mohd Sani Student, Bachelor of Engineering Technology in Mechanical Design, Universiti Kuala Lumpur Malaysian Spanish Institute. Kulim Hi-Tech Park, 09000, Kulim, Kedah, Malaysia. Pranesh Krishnan Intelligent Automotive Systems Research Cluster, Electrical Electronic and Automation Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah, Malaysia. Stamping die industries had been a significant impact on research and development of new technology for bigger and advance. To sustain the stamping die industry under the current global situation, cost and time are most important factors that need to be focus. In this case study, the main problem of design and analysis of progressive die is cost spent for die fabrication is high, the number of station or stages is high that will affect the production time and lifespan of tool is short. This paper focused at the stages or station that will be redesign to reduce the cost for the die, station optimization to reduce time taken for stamping process and simulate the design of tools to calculate the life cycle of punch. The study is conducted through AutoCAD and Solidwork to redesign the die and strip layout optimization. Subsequently, the ABAQUS/CAE and e-fatigue are used to completed the analysis and life cycle results for punch with various design of punch edge. Theoretical analysis indicates that design of punch plays a vital role in life cycle analysis. 11 30 2019 834 841 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7417.118419 https://www.ijrte.org/portfolio-item/D7417118419/ School of Electrical Engineering, VIT, Chennai A Peer Fathima* B Maniraj School of Electrical Engineering, VIT, Chennai. In this paper a Voltage Control Algorithm (VCA) is implemented for maximum power point tracking (MPPT) from solar photovoltaic (PV) system with less complexity. In addition, single diode model is designed and applied for solar PV modelling without applying any approximation conditions. In modelling, PV manufacturer’s provides limited parameters in datasheet at standard test condition (STC). The information given in the manufacturer’s datasheet is not enough in identification of the characteristic curves of solar PV panel under different climatic conditions. In single diode model has five parameters namely, photo current , diode current ( ), series resistance ( ), shunt resistance ( ) and ideality factor (A). These parameters are extracted using gauss seidal method with the help of manufacturer’s information. The suggested proposed MPPT algorithm is implemented in the DC-DC boost converter and simulation results are compared with existing P&O MPPT technique. Finally the proposed algorithm is able to track maximum power for given solar PV system with less oscillation and less complexity. 11 30 2019 5220 5224 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7418.118419 https://www.ijrte.org/portfolio-item/D7418118419/ Assistant Professor, Department of Electronics and Communication, NRI Bhopal Akhilesh Jain* Karishma Rushiya M. Tech Scholar, Department of Electronics and Communication, NRI Bhopal Dr. Rakesh Singhai Dy. Registrar (Admn.), RGPV, Bhopal A few models have been recommended for proficient VLSI usage of 2-D DWT for constant applications. It is disc overed that multipliers devour more chip zone and expands multifaceted nature of the DWT design. Multiplier-less equipment usage approach gives an answer for diminish chip region, lower equipment intricacy and higher throughput of calculation of the DWT design.The proposed design outline is (i) priority must be given for memory complexity optimization over the arithmetic complexity optimization or reduction of cycle period and (ii) memory utilization efficiency to be considered ahead of memory reduction due to design complexity of memory optimization method. Based on the proposed design outline four separate design approaches and concurrent architectures are presented in this thesis for area-delay and power efficient realization of multilevel 2-D DWT.In this theory a multiplier-less VLSI engineering is proposed utilizing new dispersed number juggling calculation named CSD. We show that CSD is an effective engineering with adders as the principle part and free of ROM, duplication, and subtraction. The proposed design utilizing CSD gives less postponement and least number of cut thought about the current engineering. The reenactment was performed utilizing XILINX 14.1i and ModelSim test system. 11 30 2019 5425 5429 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7419.118419 https://www.ijrte.org/portfolio-item/D7419118419/ M.E. Computer Science & Engineering Student National Institute Of Technical Teachers Training And Research (Nitttr), Chandigarh Johnson Joseph* Dr. Maitreyee Dutta Professor And Head Of Department, Educational Television Centre National Institute Of Technical Teachers Training And Research (Nitttr), Chandigarh The internet of things is the decentralized type of network in which sensor devices can join or leave the network when they want. Due to such nature of the network malicious nodes enter the network which affects network performance in terms of certain parameters. This research work is based on the detection and isolation of distributed denial of service attack in internet of things. The distributed denial of service attack is the denial of service type attack which affects network performance to large extent. In the existing techniques there are two main drawbacks. The first drawback is that the technique does not pin point malicious nodes from the network. The second drawback is that the malicious node detection time is very high. In this research, the new technique will be proposed for the isolation of malicious nodes from the network. In this technique, similarity of the traffic is analyzed using the cosine similarity. The sensor node which is generated dissimilar type of traffic is detected as malicious nodes. The proposed technique has been implemented in MATLAB and results have been analyzed in terms of certain parameters. It is expected that proposed technique detect malicious nodes in least amount of time. 11 30 2019 3002 3007 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7421.118419 https://www.ijrte.org/portfolio-item/D7421118419/ department of General Educational Development, Daffodil International University, Dhaka, Bangladesh Dr. Sayedul Anam* Md. Ashik Abdulla department of Business Administration, Daffodil International University, Dhaka, Bangladesh. Md. Arif Hassan department of Business Administration, Daffodil International University, Dhaka, Bangladesh. Md. Kamruzzaman department of Business Administration, Daffodil International University, Dhaka, Bangladesh. Bangladesh's capital market is South Asia's third largest market with two stock exchanges controlled by the Securities and Exchange Commission (SEC), namely Dhaka stock exchange (DSE) and Chittagong stock exchange (CSE). DSE introducing DSE broad index (“DSEX”) and DSE 30 index (“DSE30”) that effect from 2013. In this study, DSEX which reflect 97% of the total equity market capitalization is considered and focused the effect of change of index on market investment. The logistic regression (LR) model is performed in conjunction with the Markov chain (MC) of different order to represent the dependence of change (increase or decrease) of the current index upon the change of the previous two-time period. It was shown that the increased index day of the preceding two-time period relative to the decreased index day of the preceding two-time period affects the increased index day of the present time period. We observed a dependency of increase-decrease index of spell for the occurrence of index in the Dhaka stock exchange from the period of 28/01/2013 to 30/04/2019. The result shows that the frequency of index shift follows a second order Markov chain and logistic regression suggests that decrease index day of index followed by decreased and increase day of index followed by increased is more likely for the index of Dhaka stock exchange. This research helps to the individual investors in predicting the next day’s stock price based on the prior two days index price. This study also contributes to researchers, corporate managers and other personnel to determine the dependency pattern of stock price. 11 30 2019 5225 5229 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7422.118419 https://www.ijrte.org/portfolio-item/D7422118419/ Computer Science Department, Binus Graduate Program - Master of Computer Science, Bina Nusantara University, Anggrek Campus Jl. Kebon Jeruk Raya No. 27, Kebon Jeruk, West Jakarta 11480 Indonesia. Mira Hidayati Antoni Wibowo* Computer Science Department, Binus Graduate Program - Master of Computer Science, Bina Nusantara University, Anggrek Campus Jl. Kebon Jeruk Raya No. 27, Kebon Jeruk, West Jakarta 11480 Indonesia Physician Scheduling is one of the crucial operational activities in hospitals. The requirements of physician schedules involve numbers of physicians of different types, constraints from the physicians themselves and multiple regulations from the government and the hospital. Those requirements contribute to the complexity of physician scheduling model which makes it interesting to experiment and to solve. There have been many solutions proposed by researchers, particularly using metaheuristic algorithms, to automate physicians scheduling. Learning from the existing research results, this research experiments two metaheuristic algorithms which are considered simple, robust and effective to solve physician scheduling problem, i.e. Native Binary Particle Swarm Optimization (Native BPSO) with Sigmoid Transformation and its variance. The variation is done by removing particles’ local best positions from the velocity equation, with the intention to allow particles to move quickly towards global best position. The experiments were started from conducting the literature review of metaheuristic algorithms, followed by collecting physician schedules data from the selected hospital, designing the mathematical model of physician scheduling, developing and modifying the algorithms, testing and evaluating the results and at last, concluding the outcomes. Outcomes of the experiments comprise of three items, i.e. the mathematical model, the recommended algorithm and the best parameters’ values to be applied for the selected algorithm. Based on the experiments, the Native BPSO variant turns out to produce better result in terms of its fitness function and the number of days assigned for each physician in the schedule. Considering that the model, the algorithm and the parameters’ values have been implemented in a web-based application, it is ready for use by the selected hospital. 11 30 2019 5230 5243 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7423.118419 https://www.ijrte.org/portfolio-item/D7423118419/ Laboratoy of didactic engineering and dynamics of systems Faculty of Science and techniques Settat, University Hassan Tamani Soumia* Radid Mohamed Laboratory of Physical Chemistry of Materials Faculty of Science Ben M’sik, University Hassan II, Casablanca Talbi Mohammed Observatory for Research in Didactics and University Pedagogy (ORDUP) Faculty of Science Ben M’sik, University Hassan II, Casablanca The main goal of teaching of science in general and chemistry in particular, is to help learners to understand an to interpret phenomena of the natural world by adopting a scientific approach. The level of students in scientific disciplines and particularly in chemistry is becoming lower; something known by almost of actors in the field of higher education. The difficulties are many and the causes are diverse. Despite the reform experienced by the Morrocan university, the results of our teaching are still not up to the needs of the labor market ( phenomenon of unemployed graduates and at the same time shortage qualified human resources in the labor market). We are wondering, if students are able towards the end of a stage of formation, to use the fundamental concepts supposed to be acquired, to explain certain phenomena and to predict others. In this research, our objectives is to put up an evidence concerning the difficulties of apprehensivness of concepts about chemical thermodynamics for students following their studies at the first year university option Science of Chemistry (SMC) subject dealing with the relationship between the difficulties and practices of evaluation during the course. We were searching for the problems of apprenhensivness due to student’s characteristics and the system of teaching of this course. In fact, we have realised a relation with teachers teaching at the first year (SMC) and we have distributed a questionnaire for their students. After that we had examined evaluation of practices in this course following the same stages that had been followed before in order to look for the ralationship between practices and difficulties. 11 30 2019 842 846 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7424.118419 https://www.ijrte.org/portfolio-item/D7424118419/ Faculty of Social Science and Humanities Universiti Sarawak Malaysia. Dan-Mallam Yakubu Abigail* Peter Nwanes Karubi Faculty of Social Science and Humanities Universiti Sarawak Malaysia. Parveen Kaur Faculty of Social Science and Humanities Universiti Sarawak Malaysia. Arif Jawaid Lahore Garrison University, Lahore, Pakistan. Nazir Hussain Shah Lahore Garrison University, Lahore, Pakistan. Khalil Ur Rehman Umm AlQura University, Makkah, Saudi Arabia. Negotiation is a method by which disputing parties settle their differences. It is a process by which compromise or agreement is reached while avoiding argument or dispute. However, the success of every negotiation depends largely on the disputant’s perceptions of each other on the negotiation table. This study investigated the influence of the perceptions of the representatives of the Academic Staff Union of Universities (ASUU) and the representatives of the Federal Government of Nigeria (FGN) in the negotiation process. In order to achieve the objectives of this study, a qualitative approach was adopted. A total number of 42 participants were interviewed through an in-depth face to face interview, 23 representatives from the side of the FGN and 19 representatives from ASUU. Findings from this study revealed that ASUU and the Nigeria government have not been able to resolve their labor dispute because of the government insincere and dishonest behavior in-terms of the implementation of her agreement reached with ASUU at the negotiation table. This study also found lack of explanation and apology from the side of the Nigeria government to ASUU especially when the government fail to implement the agreement reached by both parties. In contrast, the result of this study indicates that greed and selfishness, lack of compromise as their common perceptions of the representatives of the government about ASUU which often influence the successful outcome of the negotiation for some decades. This study concluded that, disputants cannot achieve a fruitful resolution outcome without a sincere and honest communication between the two parties at the negotiation table. In addition, negotiators cannot also reach a satisfactory win-win settlement point without cooperation and compromise between the two parties. 11 30 2019 5244 5249 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7425.118419 https://www.ijrte.org/portfolio-item/D7425118419/ Professor, ECE, Sridevi Women’s Engineering College, Hyderabad, Telangana, India. Dr.A. Narmada* Dr.P.Sudhakara Rao Professor, ECE, G.Narayanamma Institute Of Technology And Science ,Hyderabad, Telangana, India. Research work is being done in the field of wireless communication protocols in order to find the desired applicability suitable to the end user. ZigBee protocol is chosen due to its reliable, long range and robust communication. In this direction there is need of designing a common communication protocol to realize a virtual control network by customizing the existing ZigBee protocol stack. It is also required to embed internet support protocols in different layers of the proposed stack so as to enable the entire network with internet connectivity. The proposed application aims at interoperating different devices under user personal area network, this fact has led to propose a new protocol stack with which every device of the network can be easily operated or controlled with enhanced network capabilities like resource sharing, additional middle layer for realising the proposed application using WPAN christened as ZigBee IP [ZI] stack. ZI stack is designed and the corresponding mathematical modelling is done in order to find better stack than ZigBee. This paper presents the design and modelling of throughput which is one of the important design parameters. Both the stacks viz., ZI and ZigBee are also compared w.r.t throughput. 11 30 2019 5250 5255 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7426.118419 https://www.ijrte.org/portfolio-item/D7426118419/ Assistant Professor, Department of Electronics and Communication Engineering, Government college of Engineering, Srirangam, Trichy 620012, India. R. Durga* G. Yamuna Professor, Department of Electronics and Communication Engineering, Annamalai University, Annamalainagar 608002,India. Video segmentation is the original needed stage in the video method wherever the whole video is splits into volumetric sections, each segment consists of spatial substantive with temporal domain information. We proposed a video segmentation algorithm using Short Term Hierarchical Fast Watershed Algorithm (STHFWA )and Fractional Order Darwinian Particle Swarm Optimization(FODPSO) technique. In STHFWA ,the k-means clustering is used to find out the initial segments based on the color intensity present in the frames and Fast watershed algorithm is applied to construct the rigid lines based on the catchment basin coordinates to avoid over segmentation. Finally, FODPSO optimization is used to reduce the computational complexity. Also, the experimental results are analyzed on a VSB100 dataset, shows that the proposed algorithm outperforms modern online video segmentation techniques significantly. 11 30 2019 5256 5260 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7427.118419 https://www.ijrte.org/portfolio-item/D7427118419/ Faculty, School of Business Studies, Sharda University, Greater Noida, India. Dr. Nimmi Agarwal* Prashant Kumar Pandey Management Professional, Amity International Business School, Amity University, Noida, India. Praveen Kumar Pandey Management Professional, School of Business Studies, Sharda University, Greater Noida, India. The basic objective of this paper is to understand the key compensation and benefits trends across sectors in the Indian private market along with the fluctuations in the projected scenario and that of the actual environment. There is no to less number of studies which explains the trends of the compensation policy that is been prevailing in different industries and at different levels of the management which is acting as a gap which can be bridged through this study as it fills the gap of unawareness prevailing among the minds of the employees and the students. This study suggests that for the purpose of retaining the existing employees of the companies and to attract outlying talented people, the managers are increasing the level of annual increment rate and the annual variable pay rate. The insurance policy that is been provided by the employer during the years is showing that the companies are now focusing on the retention of the existing employees and also these things will attract the new talents into the company. The study is been conducted for analyzing the trends in Indian industries, but the results, in overall, can be implemented in any part of world because of the level of universal attribute of the results. This study is completely based upon the secondary sources of data such as the reports, newspapers, journals, websites, magazines, etc. In totality, 35 sources of data are evaluated for cumulating and analysis of the data. The results of the study are useful for the managers because it will help them in understanding the predominant pay drifts that are trailed by their current industry and other enterprises. Also, the management students will get the direction to choose their respective industry to enter for better exposure and compensation. 11 30 2019 1441 1448 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7429.118419 https://www.ijrte.org/portfolio-item/D7429118419/ Research Scholar, Department of Mechanical Engineering, Pondicherry Engineering College, Puducherry, India. M.V.N. Srujan Manohar* Dr. K. Mahadevan Professor, Department of Mechanical Engineering, Pondicherry Engineering College, Puducherry, India. A. Aravindan PG student, Department of Mechanical Engineering, Pondicherry Engineering College, Puducherry, India. In this study, friction stir welding(FSW) process is carried out on heat-treated 6070aluminium alloy plates of 10mm thickness in two stages using two different tool materials. Firstly, annealed 6070aluminium alloy(O-temper condition) is joined with naturally aged 6070aluminium alloy(T4-temper condition) using H13(Tool steel) material and HCHCR-D2(Die steel) material. Similarly, annealed 6070aluminium alloy(O-temper condition) is joined with artificially aged 6070aluminium alloy(T6-temper condition) using the same tool materials. Both the stages are welded for two rotational speeds and two welding speeds using cylindrically threaded H13 and HCHCR tools. The effect of these welding parameters are further investigated on tensile behaviour(ultimate tensile strength, yield strength and percentage-elongation) and hardness for each welded stage to identify better weld-joint strength. Finally micro-structural examinations are carried out on better tensile responses using scanning electron microscope(SEM) and energy dispersive X-ray(EDX) analyzer. 11 30 2019 5261 5266 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7430.118419 https://www.ijrte.org/portfolio-item/D7430118419/ Associate Professor of Civil Engineering, Annamalai University, Annamalai nagar, India. Sheela R* Asha B Associate Professor of Civil Engineering, Annamalai University, Annamalai nagar, India. Anaerobic digestion process is the best method for treating industrial wastewater with dynamic relationship between microorganisms. The objective of this research work is to assess the microbial population that coordinates with anaerobic codigestion of biomass cultivated on sago wastewater. An upflow anaerobic sludge fixed film reactor was used to achieve high rates of microbial decomposition. The bacterial colonies were counted and predominant culture was streaked in newer sterile nutrient agar plate. The predominant culture was subjected to molecular identification using 16S rRNA gene sequencing and Gram’s staining. Isolated organism chryseomicrobium species and the organism are identified as Chryseomicrobium palamuruense by using the biochemical and 16S rRNA gene sequencing. 11 30 2019 5267 5269 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7432.118419 https://www.ijrte.org/portfolio-item/D7432118419/ Electrical Engineering, Government Engineering College of Aurangabad, Aurangabad, India. Sachin Kale Dr. N. R. Bhasme* Electrical Engineering, Government Engineering College of Aurangabad, Aurangabad, India. The regenerative energy which is generated during the period of braking of railway traction increases voltage of DC feeder line which makes it crucial and important to consider. Regenerative energy storage system is one of the key solutions to use regenerative energy more effectively and efficiently. Super capacitor has advanced version of the conventional capacitor because of its instant charging and discharging, making it suitable to use as energy storage device for traction system. In this paper, operation of half bridge type bidirectional DC-DC converter for both running and braking operation of traction motor is modeled & simulated and performance analysis is carried out. During charging mode of supercapacitor this converter works as buck converter and during discharge works as boost converter to control the DC feeder voltage at appropriate levels. 11 30 2019 5270 5274 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7433.118419 https://www.ijrte.org/portfolio-item/D7433118419/ Computer Science Engineering , SRM Institute of Science and technology, Chennai, India. Minu. M.S*. Priyanka kumari Computer Science Engineering , SRM Institute of Science and technology ,Chennai ,India Aniket kumar singh Computer Science Engineering , SRM Institute of Science and technology, Chennai, India. Avinash singh Computer Science Engineering, SRM Institute of Science and technology, Chennai, India. Water is an essential need and elixir of life. People all the world are fighting for their drinking water in order to keep it clean. No matter in what form it is rivers, lakes etc people have taken extreme measures to keep their water drinkable and useable for both humans and animals. Water is a significant characteristic asset without which no life can be envisioned. In any case, individuals misuse this real asset and cause wastage of water. We provide energy saving solution for monitoring the water quality. The proposed idea will build an IOT based sensor which monitors the pH, temperature, conductivity, dissolved oxygen, turbidity, bacteria, etc. present in the water collected. The sensors collect data and send it through a network. Then server will upload the data to the cloud. The remote water station will read the collected data and determine the quality of water. Henceforth, this application can be used on bigger scales, saves time and man-power. 11 30 2019 847 852 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7438.118419 https://www.ijrte.org/portfolio-item/D7438118419/ CMR College of Engineering & Technology, Hyderabad, India Gogineni Saikiran* Anjusha Pimpalshende CMR College of Engineering & Technology, Hyderabad, India Porika Dhanrajnath CMR College of Engineering & Technology, Hyderabad, India Sign language is widely used when a dumb communicates. However, non-sign-language people find it difficult in interpreting them. So, we had come up with a system that enables speech impaired to speak with an artificial voice in public communities using Artificial intelligence techniques. we propose a hybrid-weighted metric known as weighted pruning in deep convolutional neural networks. In this work, we report experiments of weighted pruning. we show that using a weighted pruning strategy we can achieve significant speed up in Faster RCNN object detection model by discarding 50% of filters. In this paper we show evidences to our claim by reporting mean Average Precision of weighted pruned CNN is slightly higher than existing pruning techniques. The former part of the paper focus on moulding convolutional neural networks in terms of their speed and scalability for deploying them on mobiles, embedded and further small gadgets. The latter part of the paper describes novel approaches in letting dumb speak as fast as normal person in public, without time lapse using natural language algorithms and recommendations. 11 30 2019 3008 3011 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7439.118419 https://www.ijrte.org/portfolio-item/D7439118419/ Department Of Electronics And Communication Engineering, Faculty Of Engineering And Technology, Manav Rachna International Institute Of Research And Studies, Faridabad, Haryana, India. Amana Yadav* Dr. Naresh Grover Department Of Electronics And Communication Engineering, Faculty Of Engineering And Technology, Manav Rachna International Institute Of Research And Studies, Faridabad, Haryana, India. Nowadays Cardiovascular diseases are very trivial in every part of world. People are suffering from many such diseases; so a time to time check-up of their heart is very important and it is good if a person get to know about these diseases in advance. Heart checkup is again a very crucial task; hence to overcome this problem, a single system is needed, to know about few diseases depending upon electrocardiogram (ECG) of the patient under observation and few body parameters. Here to detect the disease in early stage, a new Field Programmable Gate Array (FPGA) based technique has been proposed using different ECG features along with few body parameters. This novel technique will diagnose diseases depending upon temperature, Systolic Pressure, Weight, Diastolic pressure, SPo2, and Sugar etc. MIT-BIH database was used to get ECG signals and for simulation and to display the results Xilinx version 8.2 was used. 11 30 2019 6679 6684 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7443.118419 https://www.ijrte.org/portfolio-item/D7443118419/ Assistant Professors, Department of Electronics and Communication Engineering, Facultyof Engineering and Technology, Annamalai University, Chidambaram, Tamil Nadu, India. P. Vimala* C.Karthika Pragadeeswari Assistant Professors, Department of Electronics and Communication Engineering,, Alagappa Chettiar Government College of Engineering and Technology, Karaikudi, Tamil Nadu, India. Biometrics authentication is the automated recognition of physiological or behavioral characteristics of a person without any previous knowledge. It adds a unique identifier and it is extremely difficult to duplicate. One of the most unique biometric authentication structures is iris pattern. It is the most solid and exact distinguishing proof structure existing around. The exhibition of this acknowledgment framework can be estimated with quality and acknowledgment rate. In the proposed work, iris code were generated by the processing the iris image by applying preprocessing, gaber filter, normalization, feature encoding by Fast Fourier Transform and then Hamming distance was used for pattern matching. The overall success rate shows that iris recognition is a reliable and accurate biometric authentication. 11 30 2019 4787 4790 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7447.118419 https://www.ijrte.org/portfolio-item/D7447118419/ HOD, UG Department of Commerce, SCS, JAIN (Deemed to be University), Bangalore. Manne Neelima Chaudhury* Geetha A Assistant Professor, Department of Management Studies, Mother Teresa Women’s University, Kodaikanal Competency mapping is developed as the promising tool to measure the talent enhancement of the faculty members working in higher education at Bangalore. It is considered to be the need of the hour to update with respect to changing environment in the field of technological, cultural, social and economic way.to conduct the study, there are 450 faculty members included as respondents from three different segments through convenience sampling technique. To describe their actual opinion of the respondents towards the competency mapping, there are six variables are used and one moderating variable also employed to enhance the talent and skill level of the faculty members, and the same was collected through administering structured questionnaire. A structural equation model is created with the primary data collected using statistical software AMOS V.21 and explained the relationship between the defined variables under the study. Finally, it is concluded that, the faculty members are agreed upon that competency mapping is a tool for measuring the talent enhancement, and which will be much helpful to survive under the hectic competitive position created by the digital rivalry. 11 30 2019 853 859 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7449.118419 https://www.ijrte.org/portfolio-item/D7449118419/ Department of Applied Sciences, Institute of Engineering and Technology, Lucknow- 226021, U.P., India. Desh Deepak Tewari* Garima Misra Department of Applied Sciences, Shri Ramswaroop memorial college of Engineering and Management, Lucknow- 226028, U.P., India. U.D. Misra* Physics Department, Lucknow University, Lucknow-226007, U.P., India. An examination of the problem of the energy values, their interpretation and the origin of the Lα x - ray satellites in the atomic number range Z = 31-38 reveals non existence and lack of sufficient data for the purpose. The energies of these satellites where not available are obtained using suitable semi-empirical method for the elements under investigation and the available systematization procedures namely Mosley plot and the self consistent doubly modified Mosley plot are considered. It is concluded that the self consistent method is not applicable in the present scenario. The energy values for the satellites Lα5, Lα6 and Lα7 are calculated using Mosley plot for the atomic number range Z= 31 to 35 and are reported for the first time. 11 30 2019 5275 5278 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7450.118419 https://www.ijrte.org/portfolio-item/D7450118419/ Department of Electrical Engineering, National Institute of Technology Meghalaya, Laitumkhrah, Shillong, India. Swarnankur Ghosh* Supriyo Das Department of Electrical Engineering, National Institute of Technology Meghalaya, Laitumkhrah, Shillong, India. Detection and understanding of different high frequency phenomenon in multilayered underground (UG) cable require a thorough study of wave propagation mechanism which is governed by the line parameters of the cable. Line parameters are the functions of cable geometric and electromagnetic properties. Therefore the inclusion of semiconducting screen in cable structure influences the line parameters as well as wave properties of the cable. This paper aims to investigate the effects of the variation of different geometric and electrical properties of the semiconducting screen on line parameters as well as wave propagation characteristics of UG cable over a wide range of frequency. The complete impedance matrix of cable considering the effect of the semiconducting screen is derived using loop current analysis without invoking the theory of a double-layered conductor system. A comparative analysis on the effect of parametric variations of the semiconducting screen on line parameters as well as wave properties between the cable with and without semiconducting screen over a wide range of frequency is performed. This analysis indicates that the wave properties like attenuation or phase velocity are considerably influenced by inclusions of the semiconducting screen in cable structure, especially at high frequency. 11 30 2019 5279 5287 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7452.118419 https://www.ijrte.org/portfolio-item/D7452118419/ electrical power and machine department, AL- Azhar University/, Cairo, Egypt. Eng Asmaa sobhy sabik* Prof. Dr. EL Saeed Osman electrical power and machine department, AL- Azhar University/, Cairo, Egypt. Prof. Dr. Mohamed Ebrahim El sayed electrical power and machine department, AL- Azhar University/, Cairo, Egypt Electrical energy management (EEM) is an object that has proceeds appointed importance in the 21th- century in order to its assistance to economic development and ecological ascertainment. “EEM” may be perfected on the supply side “(SS)” or demand side “(DS)”. On the supply side, “EEM” is cultivated when: There is an outgrowth desire “(demand requirement is higher than supply)”. “EEM” assists to suspend the design a resent generation station. On the “DS”, “EEM” is used to minimize the cost of electrical energy consumption and the interrelated forfeitures. The technique utilized for “EEM” is demand side load management that plan at ending valley filling, peak clipping and strategic preservation of electrical systems [1]. Seeming new inventions like “distributed generation (DG)”, “distributed storage (DS)” and “DSLM” will modify the method we use and generate energy. A smart grid (SG) is an electrical network that manages electricity demand in an unstoppable sustainable, reliable and economic manner. A smart grid uses smart net meters to overcome the sickliness of traditional electrical grid. “(DSM)” is a vital advantage of “(SG)” to progress power efficiency, minimize the peak average load and minimize the cost. From basic purposes of DSM is shifting load from peak hours to off-peak hours and reducing consumption during peak hours. Generally, a deregulated grid system is considered where the retailer purchases electricity from the electricity market to cover the end users’ energy need. In this research, Demand Side Management (DSM) techniques (load shifting and Peak clipping) are used to maximize the profit for Retailer Company by reducing total power demand pending peak demand periods and achieve an optimal daily load schedule using linear programming method and Genetic Algorithm. This method is performed on the 69-bus radial network. Also, a short term Artificial Neural Network technique is used to get forecasted wind speed, solar radiation and forecasted users load for date 15-Aug-2019. The neural network here uses an actual hourly load data, actual hourly wind speed and solar radiation data. Then the forecasted data is used in the optimization to get optimal daily load schedule to maximize the profit for Retailer Company. Then comparison between profit using linear programing and genetic algorithm are made. The optimized DSM succeeded to maximize the profits of the company. 11 30 2019 5288 5294 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7454.118419 https://www.ijrte.org/portfolio-item/D7454118419/ Faculty of Business and Accountancy, Lincoln University College (LUC), Selangor, Malaysia Hamad Ali Salem Mahdi Alseiari* Gamal S. A. Khalifa Faculty of Tourism and Hotels, Fayoum University, Amyia Bhaumick Lincoln University College (LUC), Selangor, Malaysia Building competitive organizations requires a conscious management and a strong and effective leadership that recognizes the importance of sustainable development, and how to be applied in business organizations. The aim of the research is to test the association among Strategic leadership (SL), strategic planning effectiveness (SPE) toward tourism organization competitiveness (TOC) in UAE tourism industry. A quantitative research approach has been conducted for the study and survey-based method has followed in the research and distribute questionnaire among employee to collect data. The questionnaire has developed into five point Likert scale and structured questionnaires were distributed among UAE tourism employees. This study finding has showed direct and indirect relationships influences among variables. SL influence positively towards SPE, and TOC. Managerial and theoretical implications are introduced. 11 30 2019 860 865 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7457.118419 https://www.ijrte.org/portfolio-item/D7457118419/ Vice- President, Research Extension and Training, Pampanga State Agricultural University, Philippines Emelita C. Kempis* With the current development in technology, agriculture has rapidly changed and accepting change and technology is key to mechanical progress. The use of technology has improved efficiency in producing, processing and distributing agricultural produce. Farmers are now gradually shifting to new and modern farming system. Historically, advances in farm mechanization have been made where a strong demand for labor in other industries has withdrawn workers from the land and forced wage rates up. Increasing use of farm machines requires less and less of human power, while, it is expected that mechanized farming leads to more productivity, the reversed is true to displaced farm workers. This research focused on discovering the impact of farm mechanization in the marketing of rice in Central Luzon, Philippines and its behavioural effects on rice workers who were displaced as a result of the use of farm machines. 11 30 2019 866 872 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7460.118419 https://www.ijrte.org/portfolio-item/D7460118419/ Professor, Department of Computer Applications ABES Engineering College, Ghaziabad, (UP), INDIA Dr.Devendra Kumar* Dr.Upasana Sharma Assitt. Professor, Department of Information Technology, AIIT, Amity University Noida, (UP), INDIA One of the most interest gaining and intellectual applications of the Internet of Things (IOT) is Smart Home. It enhances the quality of human life and brings more comfortability, convenience and savings. In this paper, an intellectual home procedural system is proposed which is based on Li-Fi technology as medium of communication between the connected devices. It uses wireless visual sensor network as video surveillance system. Li-Fi is a bi-directional high speed connected technology that supports sharing (sending and receiving) of data by illuminating the usage of LED bulbs. The usage of such innovation gives a surety of a higher level of security, higher data transmission rate, less consumption of energy and more convenience. 11 30 2019 4791 4796 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7462.118419 https://www.ijrte.org/portfolio-item/D7462118419/ CUIET, Chitkara University, Punjab, India. Mohd. Junedul Haque* Rakesh Ahuja* CUIET, Chitkara University, Punjab, India. We have discussed variant of informed search in this paper like A* search. The informed search algorithm is developed to run in given limited memory by use of heuristic knowledge with retraction methods. We introduce the sky-A* algorithm for solving shortest path between two nodes. The sky-A* algorithm developed a logic by which the obligatory nodes like A* can extend and return the optimal result joining the nodes. In addition, the method sky-A* is guaranteed to return an optimal path when heuristic information used. We present a number of different methods for both low and high level procedures and analysis their results and performance. Proposed algorithm provides accurate combination of surroundings of video segments in situations when camera movements are complex. 11 30 2019 5295 5297 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7470.118419 https://www.ijrte.org/portfolio-item/D7470118419/ Assistant Professor in Department of Electrical Engineering at Allenhouse Institute of Technology, Kanpur. Vipin Kumar Mishra* Dr. Ritula Thakur Assistant Professor in Department of Electrical Engineering at NITTTR, Chandigarh. The Unified Power Quality Conditioner (UPQC) is the most flexible solution for all power quality problems. The UPQC is one of the APF family members where shunt and series APF functionalities are integrated together to achieve superior control over several power quality problems simultaneously. Reference signal extraction is the most important part of any control. Feedback control requires the minimum information about the process also the corrective action is taken when the control variable is changed but it has some drawbacks that it does not provide any predictive action for any known disturbance. The proposed control technique uses feed forward plus feedback control with synchronously rotating reference frame based reference signal extraction that not only measures the disturbances (voltage sag here) but also take corrective action to compensate for the same before they actually disturb the system. The applications of feed forward control along with the feedback control are able to compensate for the measured disturbance with the desired speed of response that enables faster restoration of voltage at load end. The suggested method is implemented by simulation in MATLAB/SIMULINK to demonstrate the improvement in response time. 11 30 2019 873 880 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7471.118419 https://www.ijrte.org/portfolio-item/D7471118419/ Mittal School of Business, Department of Management Studies, Lovely Professional University, Punjab. Balkrishna Maharjan* Gangu Naidu Mandala GITAM Institute of Management, GITAM Deemed to be University, Visakhapatnam Nitin Gupta Mittal School of Business, Department of Management Studies, Lovely Professional University, Punjab. Researchers have always made laudable contribution in examining the factors that influence an individuals and business firms to adopt and maintain the capital structure decision during a firm’s life cycle. The research methodology is carried out to examine the financing choices of top 100 firms in terms of the market capitalization through a close outlook with the business life cycle. The determinant of capital structure decision is based on profitability, liquidity, nature of industry, timing and timing of issue. Debt is taken as a fundamental source in an early stage where as in maturity stage, firm re-balance their capital structure gradually substituting debt for internal capital. This study aims to generate an idea of a dynamic evolution of the firm across the different stages, investment/disinvestment needs, profitability, cash flow generation and risk changes. Moreover, the study is carried out with a comprehensive analysis of the firm’s capital structure and the main elements in the classical theories, i.e. Trade off Theory and Pecking Order Theory. 11 30 2019 6685 6692 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7473.118419 https://www.ijrte.org/portfolio-item/D7473118419/ Associate Professor, School of Management & Social Science, Haldia Institute of Technology, MAKAUT, West Bengal. Dr. Arunangshu Giri* Satakshi Chatterjee Assistant Professor, Department of Pharmaceutical Management, Haldia Institute of Management, MAKAUT, West Bengal. Dr. Pradip Paul Senior Manager (Retail Sales), Haldia Divisional Office, Indian Oil Corporation Ltd., Haldia, West Bengal, India. Smita Chakraborty Assistant Professor, Hospital Management Department, Haldia Institute of Health Sciences, West Bengal. Swatee Biswas Officer in Charge, Administration Department, Haldia Institute of Management, MAKAUT, West Bengal. The conventional model of the healthcare system has become obsolete now. With the evolution of the digital era, new advanced technologies and service platforms are highly in demand now. One such technology is the Internet of Medical Things (IoMT) which is a sub division of Internet of Things. It allows rapid proliferation of the information from the various interconnected devices through the help of wifi or cloud. This technology is both patient centric and organisation driven. It has become a mandatory for the organisation to implement this technology as without this, the organisations would be facing great challenges to meet the demand of the industry. This technology allows optimal service production with minimal cost investment. In this paper we will try to find out the scope and opportunities of IoMT in Indian health care sector and the impact of IoMT on increasing efficiencies of healthcare management. As statistical tools, Multiple Regression and Exploratory Factor Analysis (EFA) have been used in this study. 11 30 2019 881 885 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7474.118419 https://www.ijrte.org/portfolio-item/D7474118419/ Associate Professor, Department of Corporate Secretaryship, Alagappa University, Karaikudi, India. Dr.SP. Mathiraj Shetty Deepa Thangam Geeta Ph.D Research Scholar, Department of Commerce, Alagappa University, Karaikudi, India. N. Nagalakshmi Ph.D Research Scholar, Department of Corporate Secretaryship, Alagappa University, Karaikudi, India. M. Vinoth Assistant professor, Department of Commerce (Corporate Secretaryship), Mannar Thirumalai Naicker College, Madurai, India. In recent years, the logistics companies have gained growth. There various new improvements have been seen in the logistics sector to smooth the progress of transportation and warehousing. In this study the analysis of financial performance was carried out by analyzing their liquidity, solvency and profitability of top five logistics companies in India were selected by their financial statements provided and also to study the variation of financial performance of the sample units, one way ANOVA-test tool was used to compare the financial ratios related to their liquidity, solvency and profitability. The study endeavours to gauge the organizations working execution, productivity, liquidity and dissolvability, to demonstrate that the business is led in a judicious and ordinary way which boosts the investors to invest in the selected logistic companies. 11 30 2019 5298 5304 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7475.118419 https://www.ijrte.org/portfolio-item/D7475118419/ P. G. Department of Computer Science, S.N.D.T. Women’s University, Mumbai, India Neha Ajit Kushe* Dr. Ganesh Magar Associate Professor and Dean(ad-hoc) for the Faculty of Science and Technology at SNDT Women's University Mumbai (MS), India. Avalanche forecasting is an important measure required for the safety of the people residing in hilly regions. Snow avalanches are caused due to the changes that occur in the snow and weather conditions. The prominent changes, that cause the variations which further culminate into an avalanche, can be given higher significance in the forecasting model by application of appropriate weights. These weights are decided based on the relation of each weather parameter to snow avalanche occurrence by the forecaster with the help of historical data. A method is proposed in the current work that can help in removing this subjectivity by using correlation coefficients. Present work explores the use of Pearson correlation coefficient, Spearman rank correlation coefficient and Kendall Tau correlation coefficient to obtain the weighting factors for each parameter used for avalanche forecasting. These parameters are further used in the cosine similarity based nearest neighbour model for avalanche forecasting. Bias and Peirce’s Skill Score are performance measures used to evaluate the outcome of the experimental work. 11 30 2019 886 891 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7500.118419 https://www.ijrte.org/portfolio-item/D7500118419/ Research Scholar, ECE Department, JNTUK, Kakinda, India. A. Gangadhar* K. Babulu Professor, ECE department, JNTUK, Kakinda, India. In this paper, design of Positive Feedback Adiabatic Logic (PFAL) based decoder and priority encoder using Carbon Nanotube Field Effect Transistor (CNTFET) for Binary Content Addressable Memory (BCAM) array is presented. The optimum set of CNTFET parameters such as number of tubes, chirality vector, pitch, dielectric constant and dielectric materials for low power and high speed encoder and decoder is used. The performance of proposed decoder and priority encoder is analyzed for average power, peak power and delay. Simulation results show that the proposed circuits outperforms compared to that of CMOS technology based circuits. The average power and peak power of the proposed decoder and priority encoder are in the range of μW while the range of values for CMOS based decoder are mW. The average delay of the proposed decoder is improved by 35.96% compared to that of CMOS based decoder. The average delay of the proposed priority encoder is improved by 30.77% compared to that of CMOS based priority encoder. All simulations are conducted for both CMOS and CNTFET based decoder and Priority encoder in HSPICE at 32 nm technology. 11 30 2019 892 896 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7503.118419 https://www.ijrte.org/portfolio-item/D7503118419/ Assistant Professor, Department of Management Studies, SRMIST, Vadapalani. Ms. V. Mohana Sundari* Dr. Challapalli Praseeda Professor, Department of Management Studies SRM Institute of Science and Technology (SRMIST), Vadapalani Campus. Talent management is relatively untapped and new concept in the field of human resource management despite of proving many times its importance and competitive advantage for the institution. Talent management student development and educational institutions. The present study aims to identify the connect between education institution’s talent management and its impact on student placement. For this purpose, the study identifies four prominent educational institutions from the district of Chennai, two from the private and two from the public sector level each. An attempt is made to study the talent management initiatives adopted by these educational institutions. The study also aims to identify whether talent management is incorporated into the policy making, academic and evaluation practices and its amalgamation into the structure of the university. The study is primarily based on secondary data collected from the university websites and based on in depth interviews with the related personnel of the educational institutions. 11 30 2019 897 901 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7507.118419 https://www.ijrte.org/portfolio-item/D7507118419/ Professor, Biotech Dept, Bannari Amman Institute of Technology (BIT), Sathy Dr. K. Subramanian* Ms. S. Sangeetha UG Student, BT/BIT, Sathy, TNadu, India Ms. G. Srisugamathi UG student, BT/BIT, Sathy, TNadu, India Packaging materials provide a means to preserve, protect, merchandise, market and distribute foods. Synthetic polymers are widely and massively used to make packaging materials for diverse applications.The environmental issues due to the non-degradability of the polymer packaging material wastes demands biodegradable and environmental friendly polymers for these applications. Hence increasing research is focussed to manufacture packaging materials from biodegr-adeable synthetic and natural polymers.The present study involves fabrication of biodegradable composite polymer films by solution casting from natural biopolymers such as whey and soy proteins, and synthetic biocompatible polymer such as poly(vinyl alcohol) using UV light, glutaraldehyde etc as croslinkers, and glycerol as a plasticizes. The prepared films were evaluated for their tensile strength, water vapour permeability, thermal stability, biodegradability, structure, morphology etc. The tensile strength in terms of breaking load and % elongation measured on non standard dimension of the films were in the range 1.6 -4.7 kgf and 75-400 % respectively. Thermogravimetric studies indicated that polymer films were sufficiently thermostable for packaging uses. Soil burial test and X-ray diffraction studies of the films indicated that they were biodegradable and predominantly amorphous respectively. Glutaraldehyde crosslinked composite polymer films were found to have improved antimicrobial properties compared to the uncrosslinked film. The water vapour permeability of the fabricated films were within the acceptable range of values (5.208 -7.81 g/cm2h * 10-5 ) reported for typical biopolymer films used in packaging applications. The fabricated composite polymer films may be exploited for commercial packaging applications. 11 30 2019 4834 4843 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7509.118419 https://www.ijrte.org/portfolio-item/D7509118419/