-4d90550d17f4602e089-27ce 20220512034506793 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 01 30 2020 9 3 Department of Commerce, Pondicherry University, Pondicherry, India. CS. Azjhaguraja N* Prof. Malabika Deo department of Commerce, Pondicherry University, Pondicherry, India. This piece of study is designed to analyse the socio economic profiles of the corporate governance professional’s opinion on the impact of CG (Corporate Governance) on FV (Firm value) from the angle of their socio economic profile. The study considered 90 company secretaries as Corporate Governance Professionals and elicited their opinion on the aspect of Corporate Governance and Firm value, with the help of semi-structured questionnaire circulated through Google forms. After implementation of the Companies Act 2013 we have completed nearly five years. Now this is the time to see how far the socio economic characteristics of professionals influence the FV? The socio economic variables were represented by Gender, Age, Educational Qualification, Profession and Experience etc., and for the purpose of Firm value an average value of Turnover, paid up capital, net worth, EPS and Return on Investments were considered. The study found significant difference between opinion based Socio-economic factors (age and profession) and impact of CG on FV, and the remaining socio economic factors were not found significantly differentiating their impact on firm value. 01 30 2020 258 262 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8129.019320 https://www.ijitee.org/portfolio-item/C8129019320/ Computer Sciences, Iraqi Commission for Computer & Informatics Institute for Postgraduate Studies, Baghdad, Iraq. Nuha M. Khassaf* Asst.Prof.Dr. Shaimaa H. Shaker University of Technology,Baghdad, Iraq. Content Based Image Retrieval (CBIR) introduces for the time being the most used system allowing detecting the visual features of images by using processing techniques due to the challenges of recovering photos depending on the text.The essential mechanism of content based image retrieval system is analysis picture information with low-level feature of an image, including colour, texture, determining edges, that has stages which includes the stage of classification of images, then the stage of extracting features and the stage of finding similar images and finally, evaluating the system and according to the technique or techniques used in each stage from stages of content based image retrieval system to increase the accuracy and speed of recovery for images ,together can using advantages cloud computing, which can provide a number of integrated computer services without being restricted to local resources, which include storage space, processing capabilities, expansion, flexibility and other various services through the Internet and deal with cloud through the platform as a user interface such as Microsoft Azure , Google Cloud platform, Amazon Web Services and others. In this paper, an analytical study of many CBIR techniques in terms of their behavior, feature extraction and work on Cloud Computing. All these techniques have their own avails as well as certain limitations, that means, there is not a one technique that suits superior all sorts of user’s needs,but using of advantages of cloud increase the improvement of performance. The focus be on the technique (features of Principle Component Analysis (PCA)) with advantages of Cloud Computing as a helpful way to extraction the features as shown in the results derived from the comparison. 01 30 2020 636 644 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8139.019320 https://www.ijitee.org/portfolio-item/C8139019320/ Assistant Professor, Department of Electronics and Instrumentation Engineering, Deemed To Be University, Bhubaneswar, India. Prabin Kumar Bera* Rashmi Rekha Sahoo Assistant Professor, Department of Instrumentation and Electronics Engineering, CET, Bhubaneswar, India. Chirag Nanda Department of Instrumentation and Electronics Engineering, CET, Bhubaneswar, India. The project aims at designing an earthquake monitoring and warning system that is capable of detecting earthquakes as well as warning people to take necessary precautions. The designed system will not only try to save human lives, but will also store the data for later use by professionals working at this sector. India is a country with a high frequency of earthquakes. Since the country lies at the junction of three tectonic plates, the intensity of earthquakes felt in this region is moderate. But surprisingly, the number of deaths and financial loss in this region by earthquakes is not due to building crashes or being crushed under homes. Rather, major reasons of losses are due to indirect effects such as induction of fear, as well as fire induced from a cracked gas line or faulty electrical transmission line damaged by earthquakes. Hence, a low cost automatic microcontroller based system has been designed and implemented using low cost locally sourced electronic components, which senses earthquakes and gas leaks through accelerometer and gas sensor respectively. The microcontroller operates a relay and a motor that cuts off electricity and gas supplies respectively during the event of an earthquake, helping to prevent associated potential disasters. 01 30 2020 85 90 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8144.019320 https://www.ijitee.org/portfolio-item/C8144019320/ Department of Mechanical Engineering, Graphic Era Deemed to be University, Dehradun (Uttarakhand) India. Brijesh Prasad* Vikas Rathi Department of Electronics and Communication Engineering, Graphic Era Deemed to be University, Dehradun (Uttarakhand) India. Varij Panwar Department of Electronics and Communication Engineering, Graphic Era Deemed to be University, Dehradun (Uttarakhand) India. Fateh Singh Gill Department of Allied science (Physcics), Graphic Era Deemed to be University, Dehradun (Uttarakhand) India. Pravin Patil Department of Mechanical Engineering, Graphic Era Deemed to be University, Dehradun (Uttarakhand) India. Conducting polymers (CP) are used as piezoresistive sensors for the various application of monitoring human and structural health monitoring, flexible electronic devices, automobile, aerospace and for biomedical device applications. In the present work we have developed the polyvinylidene fluoride (PVDF) based CP using Carbon Nano Fiber (CNF). The samples were prepared using the solvent casting technique. The conductivity plays crucial role in improving the sensitivity of the sensors. The impedance behavior of the developed PVDF/CNF membranes was analysed using the E4900A impedance analyzer using the parallel plate probes. The impedance was measured as the function of frequency in the range of 20 Hz-1 MHz. The piezoresistive behavior of PVDF is an important parameter for sensing application. The objective of the present work was to study the impedance spectroscopy of the PVDF/CNF samples. The sample composition of PVDF/CNF (90/10) and PVDF/CNF (85/15) showed better results with lower resistance and higher conductivity. 01 30 2020 1197 1200 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8145.019320 https://www.ijitee.org/portfolio-item/C8145019320/ Naval Architecture Department, Diponegoro University, Semarang, Indonesia Kiryanto* Mohd Ridwan Naval Architecture Department, Diponegoro University, Semarang, Indonesia. Berlian Arswendo Adietya Naval Architecture Department, Diponegoro University, Semarang, Indonesia.. Deddy Chrismianto* Naval Architecture Department, Diponegoro University, Semarang, Indonesia. Anggita Rahmadhani Ayuningtiyas Naval Architecure Department, Diponegoro University, Semarang, Indonesia. Fuel savings are closely related to ship resistance. Research on reducing resistance continues to be done in various ways, ranging from hull modification, optimization of the propulsion system and the addition of polymer substances. Resistance are also influenced by ship’s velocity and variations of inter-demihulls length. This challenge has been widely discussed by experts, especially the variety of inter-demihull length. This research aims to analyze the 30 GT catamaran fishing boat resistance with variations in hull type and inter-demihull length. The main aim is to get the obstacle characteristics of these variations. The advantage of this research lies in the more varied shapes and inter-demihull lengths of each model where the characteristics of the obstacles will also vary, so that this research can later be an alternative for the community in the use of catamarans to increase fishing productivity. The study was conducted using CFD (Computational Fluid Dynamics). From the results, one of the most optimal form of the model is the type of hull Symmetrical Hard Chine with a variation of S / L 0.5 at maximum speed.Tthis model has a wave resistance value of 9.87 kN, a viscous resistance of 5.04 kN, and a total resistance value of 14.92 kN. Where there is a reduction of the wave resistance of 12.1%, viscous resistance of 1.5%, and a total resistance of 8.779% from the original model. Another advantage of this type for the Purseseine Boat is the use of a fairly wide deck for the laying of fishing gear. 01 30 2020 1126 1133 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8147.019320 https://www.ijitee.org/portfolio-item/C8147019320/ Department of Civil Engineering, Mercubuana University, Jakarta, Indonesia Siti Alpiah* Tjiptogoro Dinarjo Soehari Department of Civil Engineering, Mercubuana University, Jakarta, Indonesia. Budi Susetyo Department of Civil Engineering, Mercubuana University, Jakarta, Indonesia. This study aimed to examine the factors that influence time performance in water transmission projects consisting of internal and external factors of time planning, application of crashing methods and PERT methods. The study uses a quantitative approach that takes the object of research on a water transmission project with a sample of 52 peoples and data analyzed with regression. The research findings show that the factors that significantly influence the time performance of the water transmission project are the external factors of time planning and PERT methods, while the internal factors for time planning and crashing methods don’t have a significant effect on time performance. Based on these findings, in the implementation of water transmission projects, the external factors and PERT methods must be a priority for improving project time performance. 01 30 2020 1305 1309 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8149.019320 https://www.ijitee.org/portfolio-item/C8149019320/ Department of Computer Sciences, BGSB University, Rajouri, J&K, India. Pankaj Verma* Sanjay Jamwal Department of Computer Sciences, BGSB University, Rajouri, J&K, India Nowadays, social media monitoring has burgeoned at a very rapid pace, so analyzing social data plays a crucial role in knowing people’s behavior. People share their views regarding trending topics that are occurring around the world. Opinion mining is used for extracting the sentiments from the textual data that are shared by peoples. In this work, we are analyzing Twitter Tweets using sentiment analysis which checks the opinion of people regarding various policies that were announced by the Indian Government. The main objective of the paper is to analyze sentiments of various Indian Government policies (namely Article370, New Motor Vehicles Act 2019, Triple Talaq, Jal Shakti Abhiyan, NRC Assam) on Twitter so that public opinions and views are analyzed. Emotions (anger, trust, fear, anticipation, disgust, sadness, joy, surprise) are analyzed using Emotion-based lexicon technique. Sentiments are classified into two categories (positive and negative) from the emotion lexicon EmoLex. The paper provides a comparative analysis of these policies and this work can act as feedback from people to the government. R programming is used for implementation and visualization. 01 30 2020 1310 1315 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8150.019320 https://www.ijitee.org/portfolio-item/C8150019320/ Research Scholar, Department of Computer Science, Sacred Heart College, Tirupattur, Tamil Nadu, India. S. Celine* M. Maria Dominic Assistant Professor, Department of Computer Science, Sacred Heart College, Tirupattur, Tamil Nadu, India. M. Savitha Devi Assistant Professor, Department of Computer Science, Periyar University Constitution College for Arts and Science, Harur, Tamil Nadu, India. Prediction is a conjecture about something which may happen. Prediction need not be based upon the previous knowledge or experience on the unknown event of interest in the future. But it is a necessity for mankind to foresee and make the right decisions to live better. Every person does predictions but the quality of the predictions differs and that differentiates successful persons and unsuccessful persons. In order to automate the prediction process and to make quality predictions available to every person, machines are trained to make predictions and such field comes under machine learning and later on deep learning algorithms. Various fields such as health care, weather forecasting, natural calamities, and crime prediction are some of the applications of prediction. The researchers have applied the field of prediction to see whether a model can predict the employability of a candidate in a recruitment process. Organizations use human expertise to identify a skilled candidate for employment based on various factors and now these organizations are trying to migrate to automated systems by harnessing the benefits of the exponential growth in the area of machine learning and deep learning. This investigation presents the development of a model to predict the employability by using Logistic Regression. A set of candidates was tested in the proposed model and results are discussed in this paper. 01 30 2020 2471 2478 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8170.019320 https://www.ijitee.org/portfolio-item/C8170019320/ Research Scholar, Manav Rachna International Institute of Research & Studies, Faridabad, India. Ashish Grover* Dr. Anita Khosla Professor & Head EEE Department Electrical & Electronics Engineering Department, Manav Rachna International Institute of Research & Studies, Faridabad, India. Dr. Dheeraj Joshi Professor Department Electrical Engineering, Delhi Technological University. The progress in renewable sources,the wind energy has given rise to augmented attention on more trustworthy and useful electrical generator systems. Because of the reason that sunlight and wind energy is alternatingin nature and has great success in power generation over conventional sources.However due to irregular in nature andhigher dissemination of renewable sources, in present day Power generation plants many technical problemsparticularly when used independentlyconnected to grids or standalone systems without appropriate energy storage devices. To make the system more reliable the integration the two renewable resources into an optimum combination, cansolve the impact of the inconsistent nature of solar and wind resources andalsomake the system efficient to run. The paper gives you an idea aboutproblems and its related best solutions for integrating hybrid solar, wind and conventional Power generation systems both a grid connected and standalone system.Voltage and frequency fluctuations generate harmonics which are significant reasons of power quality and have very high impact on power generation. By proper design and advances fast response controllers and goodOptimization techniques resolve the problem to large extent. The paper also provides review on optimal sizing design, power switching devices and its control. The paper presents types of integrated schemes available in Hybrid systems for both grid-connected and standalone Solar PV and Wind Systems. 01 30 2020 560 564 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8174.019320 https://www.ijitee.org/portfolio-item/C8174019320/ Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia. Mohd Farriz Basar* Nurul Ashikin Bt Mohd Rais Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia. This paper discusses the performance characteristics on efficiency and applicability of the test unit under low-head and low-flow condition for a novel Z-blade reaction type hydraulic turbine. Unlike large hydro power system, this technology’s superiority lies in the fact that it can harness electrical energy even from a small stream of water as energy sources and it does not poses any adverse environmental impact. This turbine was developed for an ideal and practical case which investigated applying the principal equations that were derived using the philosophies of conservation of mass, momentum, and energy. Assuming frictional losses factor or k-factor for different operating head, the relationship between rotor diameter, angular speed, flow rate, and power output was plotted and elaborated with allusion to the experimental data. Experiments were carried out at 5m head and below with the water flow rate less than 2.5L/sec, and it was evaluated against theoretical results. The turbine has a capability to achieve high values of rotational speed (up to 500 rpm) with minimal mass flow rate and high efficiency (up to 78%) at low head water condition (5m) 01 30 2020 1370 1374 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8175.019320 https://www.ijitee.org/portfolio-item/C8175019320/ UGC- Post Doctoral Fellow, Centre for Women Studies, Andhra University, Visakhapatnam, A.P., India. Hepsibah Palivela* B. Ravali Assistant Professor, Department of Civil Engineering, Vignans Foundation for Science Technology and Research, Guntur, A.P., India. M.V. Raju Assistant Professor, Department of Civil Engineering, Vignans Foundation for Science Technology and Research, A.P., India K.Maria Das Assistant Professor, Division of Chemistry, Vignans Foundation for Science Technology and Research, Guntur, A.P., India. T.Ch.Anil Kumar Assistant Professor, Department of Mechanical Engineering, Vignans Foundation for Science Technology and Research, Guntur, A.P., India. The Population growths along with rapid industrialization and strain on civic services have been major causes for environmental degradation globally, especially many of surface and subsurface water bodies gets polluted by rapid industrialization and urbanization, usage of chemical fertilizers in agriculture practices, untreated sewage, industrial effluents, etc., and in addition of lack of public awareness may all cause damage to the quality characteristics i.e. physio-chemical changes in water environs. The ground water quality deteriorating due to seepage of pollutants from various polluted water bodies, like ponds, lakes and runoff, etc. Here an attempt is made to know the quality characteristics in the ground water at Auto Nagar area of Guntur by the Water Quality Index (WQI) with the parameters of pH, Chlorides, TDS, Total Hardness, Ca Hardness, Nitrates, Sulphates, Iron, Dissolved Oxygen and it was found that quality ranges of WQI from 37 to 90, which is a satisfactory quality for domestic utilization of ground water resources 01 30 2020 1134 1137 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8178.019320 https://www.ijitee.org/portfolio-item/C8178019320/ Research Scholar, Dept of Computer Science & Engineering, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India. Rama Naga Kiran Kumar. K* Prof. Ramesh Babu. I Professor, Dept of Computer Science & Engineering, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India This paper proposes a novel concept called “Percentage Nucleotide Concentration of genomes” in terms of cellular automata evolutions of adjoints of Adenine, Thymine, Guanine, and Cytosine. The adjoints of the given a genome sequenceare the characteristic binary string sequences. For example, the adjoint of Adenine of a given genome sequence is a binary string consisting of 0’s and 1’s where 1’s corresponds to the presence of Adenine in the genome sequence. So, one can have four adjoint sequences of Adenine, Thymine, Guanine, and Cytosine corresponding to a given genome sequence. One-dimensional three neighborhood binary value cellular automata rules could be applied to an adjoint sequence and the desired number of evolutions obtained.These rules aredefined by linear Boolean functions and one can have 256 such linear Boolean functions. The analysis of genome sequences with predictive analytics gives a scope of getting the inherent properties of the genome. The predictive model suits the Nucleotide concentration and is computed for an adjoint sequence and its variation evaluated for its successive evolutions based on a cellular automaton rule. 01 30 2020 1138 1141 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8181.019320 https://www.ijitee.org/portfolio-item/C8181019320/ Assistant Professor , Department of E&Tc Engineering of Dnyanshree Institute of engineering and technology, Satara Milin D Patil* Kiran N Patil Assistant Professor , Department of E&Tc Engineering of Dnyanshree Institute of engineering and technology, Satara. Suhas M Patil Assistant Professor , Department of E&Tc Engineering of Dnyanshree Institute of engineering and technology, Satara. Sachin S Patil Assistant Professor , Department of E&Tc Engineering of Dnyanshree Institute of engineering and technology, Satara. Solar energy is one of biggest source of energy with high potential due to radiation of sun. The energy generated by solar having many applications in domestic, commercial and industrial application. Sand and dust particles accumulating on solar panel so reducing the power output. Also the panels which are cleaned are efficient to generate electric power. There are some traditional methods available but they are manual. Hence to overcome these problems automatic robot is designed for improving overall efficiency of solar panel. The cleaner was equipped with stepper motor, DC motors and brushes for accurate operation of vertical and horizontal motion. The Dc motors cleans the panel in horizontal direction and stepper motor in vertical direction. The various tests are performed which gives result that overall operation can be completed in particular time period. The robot’s system is controlled by an atmega328 microcontroller. So it is found that these technique to clean the solar panel is better and cheaper than other method. 01 30 2020 263 265 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8182.019320 https://www.ijitee.org/portfolio-item/C8182019320/ PhD, Student at Economics and Management Faculty, Enterprise economics Department, SHEE «Kyiv National Economic University named after Vadym Hetman», Kyiv, Ukraine. Kateryna Teteruk* Nadiia Datsii Doctor of Sciences in Public Administration, Professor, Department of Economic Theory, Intellectual Property and Public Administration, SHEE «Zhytomyr National Agroecological University» Department of Economics and Management, SHEE «Zhytomyr National Agroecological University» Department of Economics and Management, Kyiv, Ukraine. Evgen Kartashov Doctor of Sciences in Public Administration, Department of public administration and project management, SHEI "Universiy of Educational Management", Kyiv, Ukraine. Ljudmyla Ivashova Doctor of Sciences in Public Administration, Professor, Department of Public Administration and Customs Administration, University of customs and finance, Kyiv, Ukraine. Ganna Ortina Dmytro Motornyi Tavria State Agrotechnological University, Department of Public Administration, Administration and Law, Melitopol, Ukraine. The article substantiates the relevance of a scientific insight g of those changes in the activities of companies that are observed in the formation of human capital in enterprises of the IT industry. The article highlights the position of digital transformation in accordance with which the conditions for the use of human capital, which is perceived as a combination of knowledge, skills, experience, motivation, health, creative and entrepreneurial abilities of a person, contributing to the increase of his income. During introducing the concept of lifelong learning, it becomes possible to use human capital effectively in terms of both technology and income. As a result of research conducted by domestic and foreign scientists, it was proposed to expand the concept of “human capital” by adding the “entrepreneurial ability” component. Only the introduction of employee abilities, using, and the application of innovations in their work have a decisive impact on the performance of both an individual enterprise and society as a whole, the development of an innovative economy, the acceleration of the pace of scientific and technological progress and the implementation of the concept of sustainable development of an enterprise. For in-depth analysis, it was proposed two initial linear models, the first includes quantitative and qualitative variables. Based on the available statistical data, empirical profiles of the dependence of wages on the level of education are formed, which will give some idea of the demand for labor with a certain level of education in the labor market. 01 30 2020 1379 1387 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8183.019320 https://www.ijitee.org/portfolio-item/C8183019320/ Assistant Professor, Department of Computer Science & Engineering, BMSITM, Bengaluru, India. Shruthi J* Suma Swamy Professor, Departement of Computer Science &Engineering, Sir MVIT, Bengaluru, India. The importance of natural language processing cannot be sided in the current era of communication and analytics where data is exponentially growing. Although, there has been various versions and schemes that has evolved in the past decade towards improving the performance of natural language processing, but still the problem towards precisely extracting the actual context is an open ended. Review of existing studies show a large scope of new work towards improving it. Therefore, this manuscript presents a unique simplified approach where natural language processing is carried out with a combined effort of syntactical and semantic based transformation scheme. The study is implemented using analytical methodology while the secondary motive of the work is also to balance the mining performance as well as optimizing storage performance too. The study outcome shows proposed scheme to excel better performance with respect to time duration in all the internal processes being involved for data transformation. 01 30 2020 1479 1485 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8185.019320 https://www.ijitee.org/portfolio-item/C8185019320/ Assistant Professor, School of Hotel and Catering Management, Vels Institute of Science Technology and Advanced Studies (VISTAS), Chennai, India. H.M. Moyeenudin* R. Anandan Professor, School of Engineering, Department of Computer Science Engineering,Vels Institute of Science Technology and Advanced Studies (VISTAS), Chennai, India. Shaik Javeed Parvez Assistant Professor, School of Engineering, Department of Computer Science Engineering,Vels Institute of Science Technology and Advanced Studies (VISTAS), Chennai, India. Bindu. G Assistant Professor, School of Engineering, Department of Computer Science Engineering,Vels Institute of Science Technology and Advanced Studies (VISTAS), Chennai, India. The Emerging trend for smart food delivery is cloud kitchen concept, this is a modern phenomenon in a contemporary scenario around the world, and this concept is developing at the most noteworthy stage with a Compound Annual Growth Rate (CAGR) when contrasted with other slice of food and beverage outlets like Restaurants and fast food outlets. The aim of this study is to analyze demand and requirements of cloud kitchen. Secondly it focuses on the marketing strategy need to be adopted by cloud kitchen. As the fundamental method is to adopt a right branding strategy for cloud kitchen the results proveswith Pearson’s correlation about the requirements as Online APP by (r = .690**, p = .000) is significant with 0.01 level in association and also with online application then web ads with a value(b = .245, p = .000) from linear regression for the reference of online reviews before ordering food. 01 30 2020 983 987 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8188.019320 https://www.ijitee.org/portfolio-item/C8188019320/ Department of Natural Sciences, Karshi State University, Karshi city, Uzbekistan. Dilfuza Nuriddinova* Farkhod Yusupov Department of Chemical technology and active surface materials, Institute of General and Nonorganic Chemistry, Tashkent city, Uzbekistan In this research work we have firstly synthesized the sulfonated polyvinyl chloride cation exchanger based on local raw materials. It was firstly created syntheses methodology of the sulfonated polyvinyl chloride cation exchanger and determined syntheses reaction parameters. It was firstly investigated that thermodynamics of synthesized the sulfonated polyvinyl chloride cation exchanger: kinetics, sorption isotherms, change of thermodynamics function (Gibbs energy, Entropy and Entalpy). DFT calculation of synthesized the sulfonated polyvinyl chloride cation exchanger: energy difference between LUMO and HOMO molecular orbitals, Chemical Hardness (η), Electronegativity (χ), Electronic chemical potential (μ), Global electrophilicity Index (ω) and Chemical Softness (s) were firstly computed. We have used thermodynamic methods on doing thermodynamics research. Frontier molecular orbital method was used on doing DFT calculation by 6-311G (d,p) basis set. These firstly synthesized the sulfonated polyvinyl chloride cation exchanger based on local raw materials is very cheap and effective, it will be used in chemical industry for softening or cleaning waste water from Ca2+ or Mg2+ ions and different heavy ions. Electrochemical impedance measurements show that the quasi-substitution process has become between Mg+2 and Ca+2 ions and Na+ on the sulfonated polyvinyl chloride cation exchanger in the result of which growth of charge transfer and dielectric constant of mediums. Investigating thermodynamic parameters of this compound will be used in some purposes: deep understand thermodynamics of sorption processes and using determined thermodynamics in real produce processes of water softened materials. DFT calculation investigating gives deep understand how thermodynamics properties can depend on molecular structure of water softened polymer materials. 01 30 2020 1813 1821 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8193.019320 https://www.ijitee.org/portfolio-item/C8193019320/ School Electrical Engineering, KIIT Deemed to be University, Bhubaneswar, India. Teki Vamsee Krishna* Dr. Manoj Kumar Maharana School Electrical Engineering, KIIT Deemed to be University, Bhubaneswar, India. Dr. Chinmoy Kumar Panigrahi School Electrical Engineering, KIIT Deemed to be University, Bhubaneswar, India. In India, Electrical Power System is adapted to handle both constant loads and variable loads, also power is generated in two types; one is due to fossil fuels, and another one is due to renewable energy sources. However, renewable energy sources are playing a vital role in the production of clean energy and also useful for the reduction in greenhouse emission. Nevertheless, when there is any additional change in the generation side concerning to input supply, which is due to the uncertainty of nature, can create new challenges for the system operators and utility centers. It is not an easy task for the utility centres and supply operators to integrate variable renewable energy sources with the utility grid. This paper explores an overview of some operational techniques and solutions, which are helpful for high penetration of renewable energy sources such as solar and wind energy. It also explores operation, control management and challenges due to renewable energy when they integrated with the utility grid. By interfacing of renewable energy sources with a utility grid with proper management and control can provide bi-directional communication between suppliers and consumers smartly. The aim of integrating large scale renewable sources from transmission and distribution network into an existing system is to reduce the power quality issues, demand response, forecasting, peak demand, and improve network security, fast scheduling and dispatch, aiming towards smart grid technology for electrical power systems. 01 30 2020 91 97 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8194.019320 https://www.ijitee.org/portfolio-item/C8194019320/ Associate Professor, School of Electrical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India. S. Venkatesh* Srisailam Sreedhar Research Scholar, School of Electrical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India. S. Thirumalini Associate Professor, School of Civil EngineeringVellore Institute of Technology, Vellore, Tamil Nadu, India. Manjula Fernando Professor and Head ofDepartment of Electrical and Electronic Engineering, University of Peradeniya, Sri Lanka. Sarath Kumara Associate Professor, Department of Electrical and Electronic Engineering, University of Peradeniya, Sri Lanka. Lightning is one of the most commonly occurring natural phenomena which causes irrecoverable damage toedifices which include monuments that uniquely showcase global heritage. Most monuments are usually built tall since these signify symbols of victory, whereby invariably becoming vulnerable to lightning. Though several researchers have implemented various Lightning Protection Systems (LPS) to a considerable level of success, substantial statistical variations in prospective stroke currents during lightning due to factors such as climate change,complexities in geographical topography etc., present considerable challenges in obtaining a common framework for protection of structures. Hence, this research focuses on carrying out analysis based on exhaustive case-studies for an ancient United Nations Educational, Scientific and Cultural Organization (UNESCO) monument in South India. The first objective of this research is in carrying out detailed comparison of shielding effectiveness based on 3D geometric and electro-geometric LPS strategies such as Protection Angle Method (PAM) and Rolling Sphere Method (RSM). The second aims at assessment of risk in accordance with IEC 62305 for estimation of level of risk and the role of varying lightning protection levels utilizing striking distance models to obtain the appropriate choice of the location of air terminal. The third focuses on conducting cross-validation studies to assess the adequacy of the proposed location of LPS using SESShield-3D by depicting the critical zones that necessitate additional protection. In addition, shielding failure analysis of the proposed LPS is also carried out. Inferences on unshielded zones for the three-dimensional (3D) layout models of the monuments have been summarized with appropriate recommendations. 01 30 2020 988 994 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8196.019320 https://www.ijitee.org/portfolio-item/C8196019320/ SITE, Vellore Institute of Technology (VIT), Vellore, India. Selvakumar S Manivannan SS* SITE, Vellore Institute of Technology (VIT), Vellore, India. The speed is an important aspect of the current generation of Internet users. Currently WDM based optical fiber technology provides a good solution, still it is insufficient for future growth of cloud data centers, social media applications, online gaming, high definition video streaming and broadcasting, etc. The Elastic Optical Networks (EONs) recently added an energetic research field in the fiber-optic network. The EON is next generation of network that can provide flexibly in spectrum, improved service provisioning and accommodate high bandwidth applications in the single channel. In WDM, the Routing and Wavelength Assignment (RWA) is problem, likewise the EON has Routing and Spectrum Assignment (RSA) problem. In RSA problem the frequency slots (FSs) should allocate in continuity and contiguous manner for every demand request. Many research articles are published over the years to find the new feasible solutions for the RSA problem. This paper presents the recent approaches based on routing and spectrum assignment problem and fragmentation schemes which examines and compare the performance, features, and complexity of the approaches. This paper provides merits and demerits of existing approaches in RSA problem and provides more information about the approaches it will help for feature research. 01 30 2020 2432 2442 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8197.019320 https://www.ijitee.org/portfolio-item/C8197019320/ Professor, Prestige Institute of Management, Gwalior (M.P.) India. Dr. Tarika Singh Sikarwar* Ms. PayalMalani (Holani) Research Scholar, Department of Commerce, Jiwaji University,Gwalior (M.P.) India. The drive of this work is to observe the bidirectional association in a section of advanced and emergent equity market places at diverse points of time. For the study purpose top ten Advanced and emergent markets are taken into consideration. Daily closing prices of these markets’ representative index were taken over a period of twenty-three years. Granger Causality Test was applid after checking the assumption of causality. An existence of bidirectional relational was established for nations. VAR test was also applied further to estimate the causality in the short term. 01 30 2020 1486 1494 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8202.019320 https://www.ijitee.org/portfolio-item/C8202019320/ Department of Mechanical Engineering, Graphic Era Hill University, Dehradun, India. Rushali Pant* Pravin P Patil Department of Mechanical Engineering, Graphic Era deemed to be University, Dehradun, India The paper intent in modelling of S-shape coriolis mass flow sensor and then per-forming the simulation for determining the desired phase-shift. The coriolis mass flow sensor is a device that measures mass flow rate of a fluid inside the tube. It is also known as inertia flow meter. The phase shift appears due to the twist in the structure as a result of interactions between the vibration and fluid flow. The phase shift calculated at different sensor positions is helpful in calibrating the ac-curate mass flow rate and to ascertain the optimal sensor position. The coriolis mass flow sensor is modelled in CATIA V5 and simulation is performed in ANSYS 16.2. Tube material is copper and working fluid is water. 01 30 2020 1069 1074 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8205.019320 https://www.ijitee.org/portfolio-item/C8205019320/ Doctoral Program, Study Program of Development Extension Science, Graduate School, IPB University, Bogor, West Java, 16680, IndonesiaResearcher at The Indonesian Center for Agriculture Technology Assessment and Development/IAARD. Maesti Mardiharini* Sumardjo Department of Communication Science and Community Development, Faculty of Human Ecology, IPB University, West Java 16680, Indonesia. Prabowo Tjiptopranoto Department of Communication Science and Community Development, Faculty of Human Ecology, IPB University, West Java 16680, Indonesia. Dwi Sadono Department of Communication Science and Community Development, Faculty of Human Ecology, IPB University, West Java 16680, Indonesia. The main issue related to the role of innovation-producing institutions during the last two decades is the limited innovation adopted by end users. The aim of this study was to (1) analyze the perceptions of researchers-extension agents-farmers about the accuracy and speed of innovation,(2) analyze the factors that influence the accuracy and speed of adoption and diffusion of innovation, and (3) formulate effective strategies for disseminating innovation in the future. The study was conducted through a survey approach, from March to December 2018 at rice production centers in Central Java and West Java Provinces, Indonesia. Number of respondents (n) was 270 rice farmers. The first objective was answered using descriptive analysis and tabulation, while the second and third objectives were answered using Structural Equation Models (SEM) with LISREL software version 8.72. SEM analysis is a combination of factor analysis, path analysis and regression. The results of the study indicated differences in perceptions within researchers-extension agents-farmers about the accuracy of innovation. The effectiveness of dissemination is very strongly represented by indicators of time and quality accuracies. The effectiveness of dissemination is at the same time a factor influencing the acceleration of diffusion. In the future, it is necessary to investigate the accuracy of each innovation produced by Indonesian Agency for Agricultural Research and Development (IAARD), and understand every actor who plays roles in the innovation system, starting from the producer/provider of innovation, extension agents and other sources of information, as well as users/farmers. The other factors influencing the dissemination of innovation (delivery system) are the capacity of the information sources and the characteristics of the innovation itself. 01 30 2020 565 570 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8213.019320 https://www.ijitee.org/portfolio-item/C8213019320/ Civil Engineering, Kongunadu College of Engineering and Technology,Thottiam,Trichy,India S. Kavipriya* M. Sakthivel Civil Engineering, Kongunadu College of Engineering and Technology, Thottiam, Trichy, India S. Ramkumar Civil Engineering, Kongunadu College of Engineering and Technology, Thottiam, Trichy, India. SCC is a concrete which has the ability to flow like liquid. This flowability of concrete is achieved by limiting the size of coarse aggregate content. Also 20% of the coarse aggregate is replaced by utilizing flyash inorder to increase the percentage of powder content..And due to the scarcity and unavailability of sand, an alternate is choosen to measure the rate of workability of SCC using quarry rock dust. The main property and strength of SCC depends on its workability[1] Hence workability tests and its relative compressive strength have been conducted to measure SCC specimens with fine aggregate and quarry rock dust. Fluidity of the paste can be improved by increasing the content of water-powder ratio and by adding super plasticizers. Segregation and blockages can be avoided by reducing the coarse aggregate content. A viscosity modifying agent (VMA) helps to reduce the changes in concrete properties[2]. Thus, relative proportions of ingredients need to be carefully determined to impart self leveling and self compacting properties to SCC in the fresh stage. Thus SCC specimens have been casted with quarry rock dust and fine aggregate using three different bases of superplasticizers(HRWRA) such as polycarboxyl, naphthalene and melamine bases and VMA. And its workability and strength properties have been evaluated by conducting different tests. 01 30 2020 3225 3229 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8218.019320 https://www.ijitee.org/portfolio-item/C8218019320/ Lecturer, School of Information and Communication Studies, University of Ghana, Legon and KAAF University, Ghana. De-Graft Johnson Dei* Mobile Technologies (m-tech) have been embraced by stakeholders of academic libraries globally in recent times as a medium that can offer convenient library services to library patrons. This study was to ascertain the potentials of adopting and implementing m-tech based library services in academic libraries in Ghana. The study was a descriptive survey and the mixed-method approach was used. The major findings were that there were a strong awareness and deep appreciation for the use of m-tech library services among library management and students, however, m-tech based library services have not been implemented in the libraries due to diverse reasons. These include inadequate ICT infrastructure, skills gap as a result of lack of training, lack of policy framework for the adoption of the technology and clearing the hurdle of convincing university management to accept the technology. As a result, it was recommended that the libraries need to invest more in ICT infrastructure specifically m-tech infrastructure and build on their human resource base through recruitment and professional training on emerging technologies 01 30 2020 1669 1677 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8305.019320 https://www.ijitee.org/portfolio-item/C8305019320/ Research Scholar, Department of Biotechnology, REVA University, Bangalore, India. Nisha Rajasekhar* Ramesh N Director, Dean-Training, Placement and planning, School of Applied Sciences, REVA University,Bangalore, India. Prashantha C.N Assistant Professor, Department of Biotechnology, REVA University, Bangalore, India. Cancer has a major impact on society having the highest morbidity and mortality rate. Approximately 70% of deaths are predominantly caused due to cancer and it prevails in low and middle-income countries, as they are unaware of the signs and symptoms, treatment methods, non-availability of cancer drugs and the incurrence of huge economic burden on the family. As per the literature, the chemotherapeutic drug has numerous side effects and occasionally it may lead to death. Based on these inferences, there is a requirement to identify therapeutic peptides that are more effective for cancer treatment with less toxic effects on the body. Peptides have a great advantage to fight against the disease efficiently. Several flies have anticancer, antibacterial, antifungal and antioxidant properties that help to control disease and inhibit cancer progression. In the present research, we have utilized Hermetia illucens has great anticancer peptides that can control cancer growth. In the current research, we utilized crude protein extraction from Hermetia illucens larvae, to discover the inhibitory activity against MCF7 and HeLa cell lines. by adopting the MTT assay method, along with reference drug Camptothecin. Bradford assay results helped to identify that 23.5μg/ml concentration of protein is present in the crude sample. Flow cytometry was used to calculate the % of cell violations and IC50 values were observed in HeLa (19.88±50.3μg/mL) and MCF7 (224.68±50.3μg/mL) cells. Cell cycle inhibition was observed in HeLa cells of G1 (57.3±1.2) and, S (19.8±1.3) phase of dose-dependent with the significance of (P<0.05). Hermetia illucens crude protein has significant inhibition with HeLa cells that have the best anti-cancer proteins in human cervical carcinoma cells. 01 30 2020 3045 3050 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8307.019320 https://www.ijitee.org/portfolio-item/C8307019320/ Lecturer, Department of EIE, Govt Polytechnic for Women, Srikakulam, AP, India Sudha Ramya Karri* Daisy Rani Alli Assistant Professor, Dept. of IT, Andhra University, Visakhapatnam, AP, India. Annepu Bhujanga Rao Professor, Dept. of IT, Andhra University, Visakhapatnam, AP, India. Among the genetic disorders in brain Fatal familial insomnia (FFI) is one of the rare disorder. The inability of sleeping is called as FFI which leads to the process of becoming progressively worse mentally and physically. The recordings of brain functioning is known as Electroencephalogram (EEG) and which seeks a vital role in observing and finding the sleep disorders like FFI. The EEG senses the brain functionality. In this paper , genetic optimization based SVM classifier is used to identify the sleep disorder. The proposed technique is used to optimize the features which are obtained from features reduction techniques like PCA, ICA and LDA. For performing the experimental results PhysioNet database is obtained. Preprocessing of the data, performing feature reduction, next feature optimization and then classification using Support vector machine is the process for identifying the FFI. The performance measures such as accuracy, sensitivity, specificity, F1-Score, Recall are computed . The comparison of results obtained using different condition are observed and the ranges are determined for normal class, Bruxism class and FFI class. 01 30 2020 651 657 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8308.019320 https://www.ijitee.org/portfolio-item/C8308019320/ Research Scholar, Department of Civil Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India, Assistant Professor Department of Civil Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India. Suresh Kommu* SS. Asadi Professor, Department of Civil Engineering, Vignan Foundation for Science Technology and Research, Deemed to be University, Guntur, A.P., India This paper aims to design of geocomposite liner for fly ash ponds. Our country has many thermal plants, which generates huge amount of flyash as a waste and their disposal require some of the crucial treatment and engineered flyash pond. The problems from coal based thermal plants is disposal of such flyash. In the present research, Clayey soils, Sodium bentonite and black cotton soils used as a liner for fly ash pond, instead of HDPE sheet to reduce the heavy metal contaminants leachate. Recent GCL, HDPE or Geocomposite liners as bottom lining layers are a suggestive solution for preventing toxic materials from seepage into the surrounding areas. The obtained results of this research indicate that the more percentage of concentration of heavy metals like Arsenic, lead, cadmium and chromium are retained in sodium bentonite layer than the black cotton soil. Hence it is, recommended that among the different liners, sodium bentonite is the most appropriate geocomposite liner, as it’s self-healing and swelling properties provides more retention capacity of toxic heavy metals. The present invention relates to a geocomposite liner system for fly ash pond to reduce the leaching of toxic metals in ground water. The geocomposite liner system comprises of at least one fibrous layer having a layer of sodium bentonite material; a non-fibrous layer mechanically and non-adhesively affixed between fibrous layers. A suitable thickness of bentonite clay is encapsulated between the fibrous and non-fibrous layers, it can retain the Arsenic, Cadmium, Chromium and Lead metals in it. This Geo composite liner is most suitable, economical and easy to install over CCLs and GCLs. 01 30 2020 3517 3521 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijrte.C8309.018520 https://www.ijitee.org/portfolio-item/C8309019320/ Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation. Smirnova Z.V.* Chelnokova E. A. Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation. Shobonova L.Yu. Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation. Chanchina A.V. Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation. Gruzdeva M.L Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation. Chastnov K. S. "Institute of food technology and design" - branch of the State budget educational institution of higher education "Nizhny Novgorod state University of engineering and Economics". The authors turn to the consideration of the issue of social intelligence and value orientations of high school students. Speaking about the relevance of the study, the authors indicate that social intelligence and the value orientations provide students with psychological adaptation to new socio-economic conditions and education systems, and participate in the formation of professional self-determination. Considering social intelligence, the authors turn to the interpretation of this concept by researchers E.L. Thorndike, F. Moss and T. Hunt, G. Olport. When considering the concept of “value orientations”, the authors turn to history and give its definition, based on the study of psychological and pedagogical literature. In order to study the social intelligence and value orientations of high school students, the authors conducted an experiment, which is based on a test for the study of social intelligence by J. Guildford and M. O’Sullivan. The students' value orientations were evaluated according to three universal factors: grades (values), strengths (potency) and activity, developed by C. Osgood. 01 30 2020 1880 1883 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8311.019320 https://www.ijitee.org/portfolio-item/C8311019320/ Postgraduate student, Department of social and differential psychology, Faculty of Philology, Peoples' Friendship University of Russia, 117198, Moscow, Miklukho-Maklaya st. 6, Russia. Bui Thi Le Thuy* Kazarenkov Vyacheslav Ilyich Doctor of Pedagogical Sciences, Professor of the Department of social and differential psychology, Faculty of Philology, Peoples' Friendship University of Russia. In this study a Q-methodology was used to find out the factors that influence students’ creative activity development. A sample of 94 Vietnamese teachers and students was recruited to participate in the present study. We used a Q-sample of 56 statements and a Q-grid with an 11-point scale. Data analysis was performed by using a web application – Ken-Q Analysis version 1.0.6. Factors were extracted by using principal components and varimax method. Research results showed that there were two factors influencing students’ creative activity development: Factor I – the teachers’ teaching activity and factor II – the students themselves. Factor I had an eigenvalue of 46.6 which accounted for 50% of the study’s variance, contains 64 respondents who had significance loading on this factor. Factor II had an eigenvalue of 7.24 which accounted for 8% of the study’s variance, contains 30 respondents who had significance loading on this factor. Based on the research results obtained, we proceed to build an effective teaching model for developing the creative activity of students. In this model, each factor consists of many specific elements with different scores (from -5 to +5). The model includes focal and corrective elements. The findings of this study indicate that for achieving creative goals of the teaching process it requires efforts from both teachers and students themselves. This model is a useful tool that can help clear orientation for teachers and students. It can be applied in the teaching process at universities to improve creative activity for students. This article is considered the first study using Q-methodology to study an effective teaching model for developing students’ creativity. 01 30 2020 1495 1501 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8317.019320 https://www.ijitee.org/portfolio-item/C8317019320/ Civil Engineering, Universitas Muhammadya Yogyakarta, Yogyakarta, Indonesia. Burhan Barid* Suripin Urban Planning, Diponegoro University, Semarang, Indonesia. Robert Kodoatie Urban Planning, Diponegoro University, Semarang, Indonesia. The relationship of rain flow is needed to get an accurate peak discharge and volume value. This value is require so that the analysis of hydrological problems produces an approach that is closer to reality in the watershed. Calibration and validation have been carried out in the form of statistical steps. The reliability of calibration with statistics in certain sections provides less accurate results. HSS snyder calculation uses the parameters Cp and Ct. These two parameters cannot be determined with certainty. Therefore, the parameters Cp and Ct need to be optimized to get a more reliable value. Calculation of the relationship of rain flow using the Snyder synthetic hydrograph method was chosen because it was able to be used if the watershed characteristics data were limited. Hydrograph calibration is commonly used with standard deviation statistics between the two data. Ant colony optimization was performed so that the calculation results are even better so that it gives a true picture of the hydrological phenomenon in an area. Field data calibration with the optimization of the Snyder hydrograph provides better R and SD values than the HSS Snyder without optimization. The optimization result of the Snyder hydrograph is Q p = 0.44 . A / t p . 01 30 2020 571 576 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8319.019320 https://www.ijitee.org/portfolio-item/C8319019320/ M-Tech Student, Department of Civil Engineering, RIMT University Mandi gobindgarh, Punjab, India. Ummer Farooq* Anuj Sanchar Assistant Professor, Department Civil Engineering, RIMT, University Punjab, Punjab, India. Manish Kaushal Assistant Professor, Department Civil Engineering, RIMT, University Punjab, Punjab , India. As all of us know that ash pond deposits consist of large compressiblity,less bearing power,that is why large amount of these weak land sections gets abandoned or squandered.These slumy areas have less tangential shear force. As we know our country population is growing day by day.In future ,it will become very difficult to acquire any piece of land for construction of buildings and any other engineering structures.Nowadays many improvement methods for these low quality soils are implementedwhich makes them fit for use for common practices which can be carried out by these soils.As ,this is great area of concern for many highly standard people and other common organisations .On one side growing population with rapid increase and other side lot of sections of land gets trapped up under these ash deposits.A lot of studies and observations have been evaluated about inducing stone columns at plastic Cohesive soils.But yet no such works or observations have been implemented on these weak deposits.So in current study our main efforts relies upon testing these weak deposits of soil individually and after getting upon results from them,we try to observe these weak soils on treating them with some segments of fresh stones and then observe the variations and differences between first and second stages of these testing programmes. 01 30 2020 577 580 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8320.019320 https://www.ijitee.org/portfolio-item/C8320019320/ Assistant Professor, Department of Economics, Sibsagar College, Sibsagar, India. Ranjit Kumar Gam* Jugal Kumar Deka PhD Scholar, OKD Institute of Social Change and Development, Guwahati, India. The state of Assam is well known for tea production and among all the tea producing states in India it alone contributes more than 50% of total tea production. Production of tea includes agricultural operations as well as processing and manufacturing and hence it can be placed in both agriculture and industry. Tea has immense potential in generating income and employment. Though the history of Assam Tea is more than 180 years old, the participation of local people in this sector was very limited. Earlier establishment of a tea garden was thought to be a capitalist activity requiring massive investment. It is only in the late 1980s, local Assamese people came to know that tea plantation can be profitably undertaken even in small scale with low capital investment. This paved the way for the educated unemployed youth of Assam to undertake tea plantation in small scale. Since then tea plantation in small scale in Assam grew gradually complementing estate gardens by supplying green tea leaves. In the late 1990s due to various constraints, the estate sector tea production in Assam experienced low productivity with declining tea acreage. This has further pushed the rapid growth of small tea growers. The estate gardens of Assam also became more dependent in procuring green tea leaves from the tea smallholding by offering high price. During the period 1996-98 small tea growers of the state received as high as Rs. 22/- per kg of green leaves which did not last very long. Due to various reasons price of produce of small tea growers has fallen sharply after the year 2000. Since then though acreage and productivity of small tea growers shows continuous growth, the growers often complain about low price for their produce. In this paper an attempt has been made to analyse the trend of tea acreage, production and price received in the non-estate sector tea production in Assam. 01 30 2020 658 663 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8321.019320 https://www.ijitee.org/portfolio-item/C8321019320/ School of Electrical Engineering, Kalinga Institute of Industrial Technology, KIIT Deemed to be University, Bhubaneshwar , India. Arjyadhara Pradhan* Dr. Srikanta Mohapatra Associate Professor, School of Electrical Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India. Prasad Ranjan Ghosh Pursuing M.Tech Degree, Department of Electrical Engineering Under Kiit Deemed To Be University. Bhubaneswar, Odisha, India. Prof Soubhagya Assistant Professor, School of Electrical Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India. A new method has been introduced for classification of fault and to identify zone of fault in Thyristor Controlled Series Capacitor based line by utilizing Decision Tree method. PSACD/EMTDC software is used in this paper for the simulation of TCSC. Voltage and current samples after fault are used in this method as input against predicted output vectors for zone identification of fault. Decision Tree based classification algorithm also used to classify all ten types of faults in the TCSC based line. This method is being tested on simulated data and the results indicate that this method can classify different types of faults and also identify zone of fault more accurately than any neural network systems in a TCSC based line. 01 30 2020 1502 1506 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8322.019320 https://www.ijitee.org/portfolio-item/C8322019320/ Department of Computer Science and Engineering Maulana Azad National Institute of Technology, Bhopal, (M.P), India. Anjna Jayant Deen* Manasi Gyanchandani Department of Computer Science and Engineering Maulana Azad National Institute of Technology, Bhopal, (M.P), India. Semantic-Based medical informatics system is an interdisciplinary deflect of bioinformatics research, where a dealing to knowledge discovery of proper diagnosis of disease leads to more attention about health control before health complications. To do this work is in the aspects of various ways like preserving and accessing patient’s medical records for further information retrieval from pre-recorded datasets. Now some research has mostly used to medical metrics method combined with statistical information and social network analysis citation approach to analyze. Due to this limited citation information force to develop a new dimension of the semantic web-based medical diagnosis system. In this study the approach of implementing autonomic gene computing in medical informatics, in this framework a new semantic resource description network for medical diagnostics based on Gene Ontology, this way the diagnosis context capture its levels of symptoms. Every patient has their unique symptoms which are kept and fetched by semantic web applications, In this framework we used gene-based symptom indication for disease diagnosis, and merge with drug prescription leads to more suitable results that can be useful for physicians and medical practitioner, as to achieve efficient solutions in the new direction to make life saving analysis from the database. Being a very effective and enhanced web application tool can be applied in the medical field to make it useful for the society. The web interface for drugs prescription accepts the diseases and symptoms from the domain updated in the database and successfully displays prescribed drugs for each disease. 01 30 2020 1388 1396 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8324.019320 https://www.ijitee.org/portfolio-item/C8324019320/ M tech in Structural Engineering, Civil Engineering Department, NMIT, Bengaluru- 560064, Karnataka, India. U S Koushal* Ibrahim A G M tech in Structural Engineering, Civil Engineering Department, NMIT, Bengaluru- 560064, Karnataka, India. Dr. Jairaj C Associate Professor, Civil Engineering Department, NMIT, Bengaluru- 560064, Karnataka, India. In this research work, six storey, three bay prototype structure were designed for strong earth quake load and bottom storey, interior bay was considered. A 1/3rd scaled three reinforced concrete (RC) frames of bare, partially infilled and full infilled RC frames was selected to check the behavior of full and partially infilled RC frames subjected to horizontal loading. The effect of lateral (horizontal) loads on any reinforced concrete frame that might arise as a result of seismic loads was investigated. The RC frames were scaled down to a modeled structure that was tested in a loading frame of capacity 20 tons. Bare frame with just columns and beams, masonry infill with openings and masonry infill without openings RC frames were the 3 different specimens that were made for testing after 28 days of curing. Lateral loading was applied by loading frame. The results showed that the full infill frame took maximum load as expected with least deflections, the bare frame took the least load and the infill frame with opening resisted little more load than bare frame but less than the infill frame without opening. However, at any given point of loading the deflection was highest for the bare frame and least for the full infill frame, which suggested that frames with infill performed better as compared to the bare frame. 01 30 2020 742 748 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8327.019320 https://www.ijitee.org/portfolio-item/C8327019320/ Research Scholar, Koneru Lakshmaiah Education Foundation, Vijayawada, AP, INDIA, and working as an Assistant Professor in Department of Mechanical Engineering, SGMCOE, Mahagaon Gadhinglaj, MH, India. Mr. Rohit Ghulanavar* Dr. Kiran Kumar Dama Associate Professor in Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Vijayawada, AP, India. Gearbox functions as a significant transmission module in the mechanical devices in spite of its failure prone nature and hence there exists a need for the diagnosing the gearbox faults with an optimized solution and new methods should be engaged for improving the effectiveness, accuracy, reliability and few other such parameters. These attempts could meet the growing requirements for the condition monitoring in the detection of gear faults. The feature selection process is a notable process in the machine learning to achieve good performance in the diagnostic process. This framework builds up an innovative structure for fault diagnosis in the gearbox system. Six vibrating signals which are healthy gear signal, fault gear signal, healthy gear signal affected by noise, faulty gear signal affected by noise, distributed fault signal, and local fault signal have been generated with the prescribed dataset and the feature extraction was done by employing the Modified Short-Time Fourier Transform on the basis of Blackman window. This step was followed by selection of the features by using the combination of Genetic algorithm and Frog Leaping algorithm that is termed as GFLA.This novelty approach enhances the initialization process thereby enabling for the calculation of accurate best score calculation. The classification method is performed Support points on the basis of neural network. Finally the performance analysis with respect to the existing methodologies proved the efficiency in detecting the fault of the proposed framework. 01 30 2020 467 474 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8331.019320 https://www.ijitee.org/portfolio-item/C8331019320/ Scholars Department, of Computer Science and Information Technology, Hefei University of Technology, Hefei, P. R. China. Muhammad Sulaiman Khan* Nadeem Afridi Scholars Department of Computer Science and Information Technology, Hefei University of Technology, Hefei, P. R. China. Saleem Abbas Research Scholar, School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, P. R. China. An important requirement of power systems in this decade is the capability of power distribution among electrical devices and systems to improve power quality that depends on various factors, such as reactive, active, and apparent power. Virtual experiments and testing are considered important factors to achieve the best performance in this area. This research mainly aims to find low power factors and load to meet the requirements of electrical devices. Calculations are conducted on a real-time simulator LabVIEW to verify the effectiveness of linear and nonlinear values on the load to achieve the power factor. 01 30 2020 1822 1825 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8333.019320 https://www.ijitee.org/portfolio-item/C8333019320/ Civil Engineering Department, DNR College Of Engineering and Technology (DNRCET), Bhimavaram, India. R.Ramya Swetha* Dr M. Swaroopa Rani Civil ENigeering Department,JNTUK-Kakinada , Kakinada, India. Dr. U.Ranga Raju Civil Engineering Department, DNR College Of Engineering and Technology(DNRCET), Bhimavaram, , India. The objectives of this work is effect of Rice husk ash (AWM) in self-compaction concrete (SCR) in order to increase in strength and a better bonding between aggregate and cement paste. SCR had an improvement over conventional concrete so that it can be placed easily without vibration or mechanical consolidation. The properties of SCR have been studied in several researches due to its importance and ability to solve the problems of concrete mix. AWM was used to substitute cement in stepped concentration of 0 %, 5%, 10%, 15%, 20% and used to gain characteristic CS of M40 grade concrete mix. It is cured normal water and sulphuric acid solution (H2SO4) in for different ages (7days, 28days and 60days) and the strengths were determined. Sulphuric acid used in the percentages of 0%, 1%, 3%, 5%. 01 30 2020 664 667 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8334.019320 https://www.ijitee.org/portfolio-item/C8334019320/ Research Scholar, Vishwakarma Institute of Information Technology, Savitribai Phule university of Pune, (Maharashtra) India. Madan Magdum* Bilavari Karkare Professor, Department of Civil Engineering, Vishwakarma Institute of Information Technology, Savitribai Phule university of Pune, (Maharashtra) India. Underground metro stations are influenced by critical external loads such as earth pressure, hydrostatic pressure, bedding spring stiffness and backfill soil cover. Optimization, constructability and sustainability is a need, which demands thorough critical analysis and design. The variation in design parameters like ground water level (GWT), bedding spring stiffness (ks) and earth pressure coefficient (ko) needs to be covered through the analysis. Accordingly, design demands the upper bound and lower bound parameters considerations for finite element analysis. This paper presents, best practices for finite element modelling approach such as mesh configuration, loading, geometry, support arrangement; analysis approach such as analysis parameters, solvers and design idealization of critical forces such as bending moment, shear force and axial force at wall slab junction and slab column junction based on the international codes such as Euro-code and Indian codes. Also paper compares the behavior of 2D and 3D finite element modelling of underground metro station. 01 30 2020 98 105 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8335.019320 https://www.ijitee.org/portfolio-item/C8335019320/ B.E, Department of Electrical and Electronics Engineering, Saranathan College of engineering, Trichy, India. Gayathri Natarajan* Dr. L.Ashok kumar Department of Electrical and Electronics Engineering, Saranathan College of engineering, PSG college of engineering, Coimbatore, India. This paper aims to produce an Electrical all-terrain vehicle with Smart Driver Kit design which is more durable and comfortable to meet the robust conditions of Defense and Forest Sector, not just recreational user market. The Smart Driver Kit design will take this vehicle experience to a new dimension with valuable information about Energy Consumption, Stealth Mode, Real-time Elevation and Terrain Data. The paper implies the prominence of bringing up innovation in terrain vehicles to cover wide range of market preferably terrain based commercial activities. Clear understanding of Vehicle Dynamics and Automotive Design leads us to the development of a product which would fulfill the consumer expectations sought at every level around the globe. The structural integrity and durability of the vehicle of this vehicle would be an advancement for innovation in All-Terrain Vehicle. 01 30 2020 645 650 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8337.019320 https://www.ijitee.org/portfolio-item/C8337019320/ FCIS, Islamic University in Medina, KSA. Ahmed Alrehaili Aabid Mir* MIIT, University of Kuala Lumpur, Malaysia. Mir Junaid Laboratoire de Modelisation et Surete des Systemes (LM2S), Université de Technologie de Troyes, France. The concept of Cloud Computing has been distinguished as one of the major computing models in recent years. This distinguish comes as a reflection of a rapid and intense interest from academic and industrial organisations which present it as an active area of research. Security has been always raised as one of the most critical issues of cloud computing where resolving such an issue would result in a constant growth in the use and popularity of cloud. Furthermore, issues related to service availability and interoperability has gained a substantial interest. Failing to address such issues would jeopardise consumers’ satisfactions. This article mainly discusses the causes of obstacles and challenges related to security, reliability, privacy and service availability. In this work, we analyse and compare the performance of selected algorithms over “Google App Engine” which is a web framework and could computing platform. A comparative analysis of the efficiency of Advanced Encryption Standard “AES” (Rigndael), Rivest-Shamir-Adleman “RSA” and Triple Data Encryption “DES” have been performed locally and over the cloud as well. The efficiency analyses covered encryption and decryption procedures separately. Experiments results are given to analyses the effectiveness of each algorithm. The results show that Triple DES manifested a higher time efficiency ratio over cloud when subjected to different data loads compares to AES and RSA. 01 30 2020 749 755 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8338.019320 https://www.ijitee.org/portfolio-item/C8338019320/ Sr. Member IEEE, Member IEI, Head of Centre for Transportation & System Design, Bharat Heavy Electricals Limited Bhopal 462022, MP, India Naseam H. Jafri* Dr. Sushma Gupta Professor, Department of Electrical Engineering Maulana Azad National Institute of Technology, Bhopal 462003, MP India. Presently, energy used in rail transportation is fossil in nature, in case of electric vehicle, electricity which is generated mostly from coal/gas while in diesel engine driven vehicle oil /gas. Fossil energy sources inherently suffers from disadvantages such as limited in nature, damage to environment due to exhaust of greenhouse gases, noise pollution etc. Fuel cell not only overcome above demerits of diesel engine but offer other advantages such as energy recovery during braking, better dynamic response. A feasibility study of use fuel cell in place of diesel engine is presented in this paper. It briefly discuss fuel cell operation, its suitability for transient energy requirement of transportation application, necessity of energy storage system, simulation of potential of recovery of energy during braking. Present status of technology of drives, power conditioning is reviewed and a circuit topology for conversion of existing diesel engine based vehicle into fuel cell system is presented. Advantages of fuel cell hybrid electric vehicle (FCHEV) over conventional transportation vehicle is also discussed. 01 30 2020 1507 1512 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8347.019320 https://www.ijitee.org/portfolio-item/C8347019320/ Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India. P. V. Goutham Reddy* Dr. L. Rama Parvathy Professor, Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India. Conventional supervised classification of satellite pictures utilizes a solitary multi-band picture and incidental ground perceptions to build phantom marks of land spread classes. We contrasted this methodology with three choices that get marks from different pictures and timespans. signature speculation, in this unearthly marks, is gotten from various pictures inside one season, however maybe from various years. signature extension, in this phantom marks, is made with information from pictures obtained during various periods of that year; and mixes of development and speculation. Utilizing the information for India, we evaluated the nature of these various marks to characterize the pictures used to infer the mark, and for use in transient mark expansion, i.e., applying a mark acquired from the information of one or quite a long while to pictures from different years. While applying marks to the pictures they were gotten from, signature development improved exactness comparative with the customary strategy, and inconstancy in precision declined uniquely. Conversely, signature speculation didn't improve grouping. While applying marks to pictures of different years (worldly expansion), the traditional technique, utilizing a mark got from a solitary picture, brought about extremely low characterization precision. Mark's development additionally performed ineffectively yet multi-year signature speculation performed much better and this seems, by all accounts, to be a promising methodology in the transient augmentation of ghastly marks for satellite picture arrangements. This project summarizes the different audits on satellite picture characterization strategies and systems. The summary helps the analysts to choose suitable satellite picture characterization strategies or methods dependent on the requirements. Later on, the results acquired from the proposed technique will be an extraordinary measure for anticipating and examining the effect of floods. It will help salvage groups to address high caution regions first in this way, least or no loss of life will be accomplished. In the future, the technique can be adjusted to be utilized for coastline location, urbanization, deforestation, and seismic tremors. 01 30 2020 1513 1517 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8349.019320 https://www.ijitee.org/portfolio-item/C8349019320/ PG Scholar, Department of ECE, Sri Padmavati Mahila Visvavidyalayam, Andhra Pradesh, India. S. Karishma* T. Nirmala Assistant Professor, Department of ECE, Sri Padmavati Mahila Visvavidyalayam, Andhra Pradesh, India. Reconfigurable antennas wires are equipped for working in various groups by recurrence re-configurability or polarization re-configurability. A recurrence reconfigurable fix reception apparatus with two rectangular metallic rings is utilized by changing the transmitting surface of antenna. The switches are presented at the focal point of the essential fix. This antenna can work in 1.8 GHz, 2.2 GHz and 2.7GHz recurrence groups, when the switches are turned ON and OFF. The emanating surface zone increments when the switches are turned ON and thus change the working recurrence of antenna. The switches are displayed for equal circuit of PIN diodes. In this paper the radio wire can work from 1.8GHz to 2.7 GHz. The antenna is created and reproduced in HFSS Software. 01 30 2020 3439 3442 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8352.019320 https://www.ijitee.org/portfolio-item/C8352019320/ UIET, PU, Chandigarh, India Parul Gaur* Yajvender Pal Verma UIET, PU, Chandigarh, India. Preeti Singh UIET, PU, Chandigarh, India. In today’s era, reliable and good quality power is an essential requirement in industry, which can be supplied by inverters at medium and high power. Most of the appliances in the industry require high power or medium power for their operation. Power electronics devices such as inverters work on medium voltage and high power and are suitable for industrial applications and renewable particularly Photovoltaic (PV) integration. Multilevel inverters are more superior to conventional inverters because of lower harmonics and switching losses, but as the number of levels increases, complexity also increases. Therefore, maintaining the harmonics at lower level and lesser complexity of multilevel inverters is a challenge for researchers. In this research paper, a novel approach for implementation of seven level cascaded H- bridge configuration of multilevel inverter using direct current source and photovoltaic panels has been demonstrated. The basic working principle of seven level cascaded hybrid bridge inverter, pulse width modulation techniques and total harmonic distortion are explained through simulations in Matlab and Xilinx 14.3 software and the same is experimentally validated through FPGA controller based Spartan 6. The designed seven level inverter results in lower total harmonic distortion with lesser complexity when used to connect PV panels. 01 30 2020 668 676 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8354.019320 https://www.ijitee.org/portfolio-item/C8354019320/ Department of Aeronautical Engineering, MLR Institute of Technology, Hyderabad, India. Arunkumar* Veeranjaneyulu Department of Aeronautical Engineering, MLR Institute of Technology, Hyderabad, India. Om prakash Department of Aerospace Engineering, UPES, Dehradun, India. Sreekanth Sura Department of Aeronautical Engineering, MLR Institute of Technology, Hyderabad, India. Munigala Srikanth Department of Aeronautical Engineering, MLR Institute of Technology, Hyderabad, India. Morphing wing concept is introduced to analyses wings aerodynamic performance the through warping mechanism. Thread rod mechanism is installed at the trailing edge of the wing to warp. Relative displacement between upper and lower skin of wing leads to have twisted wing. This new concept is applied at the demonstration wing which was built based on NACA 23012 airfoil section with a span of 0.580m and a chord length of 0.235m. Demonstrated model was tested using wind tunnel and analysis software. In general, it was demonstrated at lower AOA and the tests showed that warping could change the lift force in optimized manner. This study proved that a morphing wing can have optimum L/D ratio to minimize the fuel consumption of an aircraft and to ensure that the lift-to-drag ratio remains constant at various flight conditions. 01 30 2020 1518 1522 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8355.019320 https://www.ijitee.org/portfolio-item/C8355019320/ Perusing, PHD, Department, Computer Science and Engineering, Banasthali Vidhyapith. Artika Singh* Dr. Manisha Jailia Associate Professor, Department, Computer Science Banasthali Vidhyapith. Shubhangi Jain Pursuing, B.Tech, Computer Engineering from MPSTME, NMIMS. Today over 2.5 quintillion bytes of data is being created every single day where 753 crore people on this planet are creating 1.7mb of data each second. Most often than not, Researchers only scratch the surface when it comes to analyzing which algorithm will be best suited with their dataset and which one will give the highest efficiency. Sometimes, this analysis takes more computational time than the actual execution itself. Aim of this paper is to understand and solve this dilemma by applying different predictions models like Neural Networks, Regression and Decision Tree algorithms to different datasets where their performance was measured using ROC Index, Average Square Error and Misclassification Rate. A comparative analysis is done to show their best performance in different scopes and conditions. All data sets and results were compared and analyzed using SAS tool. 01 30 2020 3612 3617 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8358.019320 https://www.ijitee.org/portfolio-item/C8358019320/ School of Electrical and Electronic Engineering, USM. Nur Syahadah Yusof Mohamed Fauzi Packeer Mohamed* School of Electrical and Electronic Engineering, USM. Mohamad Faiz Mohamed Omar Collaborative Microelectronic Design Excellence Centre (CEDEC), USM, Pulau Pinang, Malaysia. Mohd Fadzil Ain Collaborative Microelectronic Design Excellence Centre (CEDEC), USM, Pulau Pinang, Malaysia / School of Electrical and Electronic Engineering, USM. Norlaili Mohd Nor School of Electrical and Electronic Engineering, USM Mohamad Adzhar Md Zawawi School of Electrical and Electronic Engineering, USM Mohammad Khairi Ishak School of Electrical and Electronic Engineering, USM.. Mohd Hendra Hairi Faculty of Electrical Engineering (FKE), Universiti Teknikal Malaysia Melaka (UTEM). This paper presents the simulation and measured results of a Low Noise Amplifier (LNA) working at 28 GHz for the 5G wireless system. LNA is used to amplify the weak receiving signals in the RF receiver system. The 28 GHz (Ka-band) LNA is designed to work for 5G technology wireless system. Here a Fujitsu FHR02X transistor is used in the simulation process, where the one-stage LNA is adopting a common-source with source inductive degenerative topology.In the fabrication process, GaAs pHEMT MMIC HMC519LC4 LNA is mounted on the Rogers 4003C board (εr = 3.38 and δ = 0.0027)and tested using (PNA-X N5246A) Microwave Network Analyzer. The final LNA design in the simulation process achieves a power gain of 9.185 dB, input and output return losses of – 13.124 dB and – 15.455 dB respectively, and noise figure of 9.185 dB. Furthermore, the fabricated LNA achieves a power gain of 10.91 dB, input and output return losses of - 7.75 dB and - 22.13 dB respectively. Although the return loss (S11) value is higher than -10 dB, but the LNA still able to obtain gain more than 10 dB.Thesimulation and fabricated LNA have input return loss quite closed to the given value in the datasheet. Thus, the LNA transmission line has a good output matching design. 01 30 2020 3051 3058 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8365.019320 https://www.ijitee.org/portfolio-item/C8365019320/ Research Scholar, Computer Science and Engineering, Annamalai University, India. R. Thendral* AN. Sigappi Ph.D, Computer Science and Engineering from Annamalai University, India. Protein Secondary Structure (PSS) is one of most complex problem in biology PSS is important for determining tertiary structure in the future, for studying protein fiction and drug design. However, Experimental PSS approaches are time consuming and difficult to implement, and its most essential to establish effective computing methods for predicting on protein sequence structure. Accuracy of prediction performance has been recently improved due to the rapid expansion of protein sequences and the design of libraries in deep learning techniques. In this research proposed a deep recurring network unit method called stacked bidirectional long-term memory (Stacked BLSTM) units to predict 3-class protein secondary structure from protein sequence information using a bidirectional LSTM layer. To evaluate the output of Stacked BLSTM, using publicly available datasets from the RCSB server. This study indicates that performance of our method is better than the of that latest stranded public dataset. The accuracy achieved is more than 89%. 01 30 2020 1605 1608 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8368.019320 https://www.ijitee.org/portfolio-item/C8368019320/ PhD, Rural Development Centre of IIT, Kharagpur. Pallabi Pattnaik* Pradip Kumar Bhowmick PhD, D.Litt Joined IIT Kharagpur. Arsenic (As) contamination in groundwater is a major environmental problem in West Bengal. People in rural West Bengal are mostly dependent on community deep tube wells for drinking purpose. North 24 Praganas in West Bengal is one of the most Arsenic affected districts in India. Most of the deep tube wells currently being used in North 24 Praganas have already been declared to be contaminated with Arsenic. Time to time evaluation of suitability of these water sources for drinking purposes and the assessment of health risk are very essential for knowing the severity of the condition and accordingly take timely mitigation measures. In this paper, the Water Quality Index(WQI) has been determined and Health Risk Assessment has been done for drinking water sources currently in use in one of the chronically Arsenic affected Basirhat-1 block of North 24 Praganas. For calculating WQI, the weighted arithmetic water quality index method has been adopted by taking pH, TDS, Sulphates, DO(Dissolved Oxygen), total Alkalinity, Total hardness, EC, Chloride and total Arsenic as parameters. The Health Risk Assessment has been done by considering the total Arsenic found in the water samples. For Health Risk Assessment, cancer and non-cancer risk assessment were done by following the deterministic method of risk assessment recommended by US EPA (Environmental Protection Agency). The WQI results indicates that all the sampled deep tube wells of the studied area are highly unsuitable for drinking purpose. Arsenic content was found to be 4 to 24 times higher than the permissible limit. The Hazard Quotient of the sampled studied sources was calculated to be in the range of 2 to 9 which signifies the vulnerable health risk due to non-carcinogenic effect due to Arsenic. The cancer risk assessment gives a further alarming picture of the area with 1-4 persons for every 1000 population in Basirhat-1 block are prone to Cancer risk due to Arsenic. The study recommends immediate measures in the area to make all the current drinking water sources Arsenic free. 01 30 2020 677 684 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8372.019320 https://www.ijitee.org/portfolio-item/C8372019320/ Assistant Professor, Department of Electronics And Telecommunication, Bharati Vidyapeeth (Deemed to be University) College Of Engineering, Pune, India. Aarti Sawant* Image segmentation is now established as the robust technique in image processing. Important features from image are extracted by using image processing tool. In order to extract important features from an image, segmentation provides a rapid solution. Digitizing the image and differentiating it into multiple segments to outline region of interest is known as image segmentation. Segmentation algorithms are differentiated based on colour, gray values or textures of an image are discontinuity and similarity. In this article ,we present different segmentation algorithms along with their experimental results. 01 30 2020 685 688 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8374.019320 https://www.ijitee.org/portfolio-item/C8374019320/ Student, Department of CSE, KL University, Guntur, Andhra Pradesh , Tadepalligudem ,India Chelikani Malyada* Ratnam Keerthana Student, Department of CSE, KL University, Guntur, Andhra Pradesh ,Vijayawada ,India. Dr. P. V. R. D. Prasad Rao Professor, Department of CSE, KL University, Guntur, Andhra Pradesh , India. R. Keerthana Student, Department of CSE, KL University, Guntur, Andhra Pradesh, Vijayawada , India. Electrical industry is a main source industry in which where almost every other industry of many kinds are dependent on it. Not only the industries but also many Smart cities are connected with the different supply of current in which the current is used and to run the homes with the power supply. In the base paper we have taken the PMU data is collected which contain magnitude and phase angle components of the readings from PMU and the details of the fluctuations, deviations are only given so we have gone some extension to the paper and we have done the forecasting of the data by taking more of components like Logtime, current voltage (CV), active power (AP), reactive power (RP), apparent power, power factor, temperature, product weight and we are forecasting the data:To predict the energy usage.To provide monthly billing information and graphical report.To provide individual home appliance unit graphical report.Alert message service for the consumer. 01 30 2020 3059 3062 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8375.019320 https://www.ijitee.org/portfolio-item/C8375019320/ Department of Electrical and Electronics, Chaitanya Bharathi Institute of Technology, Hyderabad, India. M. Balasubbareddy* To solve the OPF problems with three objective functions like fuel cost minimization, emission and power loss. The proposed algorithm is hybridizing conventional Anti Lion optimization algorithm with Genetic algorithm. The considered objectives are solved by considering the equality and in-equality constraints along with practical constraints. The effectiveness of the proposed method is tested on the IEEE 30 bus test system and compared with existing literature. The proposed method gives the best optimal values for the minimizing the considered objectives. 01 30 2020 689 695 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8376.019320 https://www.ijitee.org/portfolio-item/C8376019320/ Computer Science Engineering,, GJUS&T, Hisar, India. Mr. Narender Kumar* Dharmender Kumar Computer Science Engineering,, GJUS&T, Hisar, India. In machine learning, there are two approaches: supervised and unsupervised learning. Classification is a technique which falls under the supervised learning. Out of many classification models, the most popularly used is the Artificial Neural Network. While neural networks work fine in classification and training a machine, the accuracy of the result might still be under question. To improve the accuracy and speed of result, the optimisation of artificial neural network is done. For this, ANN can be hybridised with a metaheuristic algorithm known as the Bat Algorithm. The benefits of optimising a neural network are mainly the improvement in accuracy of classification, interpretation of the data, reduction in cost and time consumption for getting accurate results etc. In present paper, a comparison between the results of an ANN-Backpropagation model and the proposed ANN-Bat model is done for medical diagnosis. The results were in the favour of the ANN-Bat approach which was significant in reducing the time taken to yield an output as well as the accuracy. 01 30 2020 696 700 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8378.019320 https://www.ijitee.org/portfolio-item/C8378019320/ PG Student, Dept. of Civil Engineering, AITSRajampet, Kadapa, AP, India. Chalapati Harish* T. Naresh Kumar Assistant Professor, Dept. of Civil Engineering, AITSRajampet, Kadapa, AP, India. V. Vishnuvardhan Assistant Professor, Dept. of Humanities and Sciences, AITS Rajampet. Kadapa, AP, India. Natural zeolite and Flyashresidue, a sort of hydrated Alumino-Silicate is used amply as ordinary pozzolanic material in particular areas of the world. In this calculation, the suitability of a secretly quarried zeolite and mineral admixture called fly ash is used for getting better mechanical and durability property of bond. The presentation of strong quality was better with a dissimilar degree of zeolite and fly ash was examined. The substitution on zeolite and fly ash with other proportions like 10% zeolite with ordinary Portland cement (OPC), 10% zeolite and 10% fly ash, 10% zeolite and 20% fly ash, 10% zeolite and 30% fly ash for M25 grade of concrete and done valuations with mechanical properties such as compressive strength, split tensile test, water permeability test, rapid chloride permeability test. By differentiating these effects between a run of the mill concrete and dissimilar degrees of Zeolite and Flyash.By comparing these results between normal concrete with different proportions of Zeolite and Flyash. 01 30 2020 805 811 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8379.019320 https://www.ijitee.org/portfolio-item/C8379019320/ Computer Science Department, ITM University Gwalior, India. Animesh Kumar Agrawal* Sumit Sah Computer Science Department, ITM University Gwalior, India. Dr Pallavi Khatri Computer Science Department, ITM University Gwalior, India. In the present digital world malware is the most potent weapon. Malware, especially ransomware, is used in security breaches on a large scale which leads to huge losses in terms of money and critical information for big firms and government organisations. In order to counter the future ransomware attacks it is necessary to carry out a forensic analysis of the malware. This experiment proposes a manual method for dynamic malware analysis so that security researchers or malware analyst can easily understand the behaviour of the ransomware and implement a better solution for reducing the risk of malware attack in future. For doing this experiment Volatility, Regshot and FTK Imager Lite Forensics toolkit were used in a virtual and safe environment. The forensic analysis of a Ransomware is done in a virtual setup to prevent any infection to the base machine and carry out detailed analysis of the behaviour of the malware under different conditions. Malware analysis is important because the behavioral analysis helps in developing better mitigation techniques thereby reducing infection risks. The research can prove effective in development of a ransomware decryptor which can be used to recover data after an attack has encrypted the files. 01 30 2020 3618 3622 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8385.019320 https://www.ijitee.org/portfolio-item/C8385019320/ Asst. Professor, Department of CSE, Rajarajeswari College of Engineering Bangalore, India. Swetha P* Dayananda R B Professor, Dept. of CSE, K.S Institute of Technology, Bangalore, India. Customer Churn Prediction has become one of the eminent topic in the telecom industry, it has gained a lot of attention in the research industry due to fierce competition from the various, and hence companies have focused on the larger size of the data for churning and upselling prediction. The model of customer churn prediction detects and identify the customer who are willing to terminate the subscription, customer churn prediction and upselling can be done through the data mining process. Hence, In this paper we have introduce a model Named MRF(Modified Random Forest), this model helps in enhancing the accuracy and also helps in ignoring the regression issue. Our methodology has been performed on the provided orange Datasets. For the evaluation of our algorithm comparative analysis between the existing and proposed methodology is done considering the two scenario i.e. churn and upselling. Later our model is compared with the various existing churn prediction model, the result of the analysis indicates that our model outperforms the existing method including the standard random forest in terms of AUC and classification accuracy. 01 30 2020 475 482 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8392.019320 https://www.ijitee.org/portfolio-item/C8392019320/ M.Tech in the Department of Computer Engineering at Government College of Engineering, Pune, Maharashtra Mrs.Ayesha Choudhari* Saurabh Sharma Database Architect, Nagarro, Gurugram, India. Dr.Sunil B. Mane Associate Professor in the Department of Computer Engineering and Information Technology at Government College of Engineering Pune (An Autonomous Institute of Govt. of Maharashtra), India. With twenty million introduces a day [1], outsider applications area unit a big purpose behind the acknowledgment and addictiveness of Facebook. Tragically, programmers have finished the aptitude of exploitation applications for spreading malware and spam. the problem is as of currently important, as we discover that a minimum of thirteen you look after applications in our dataset sq. estimates malignant. Up hitherto, the examination network has fixated on police examination vindictive posts and battles. we tend to tend to point out the issue: Given a Facebook application, can we tend to tend to affirm if it's vindictive? Our key commitment is in making LSTM—Facebook's Rigorous Application Evaluator—ostensibly the essential instrument fixated on police examination malevolent applications on Facebook. to make LSTM, we tend to tend to utilize info assembled by perceptive the posting conduct of 111K Facebook applications seen crosswise over 2.2 million purchasers on Facebook. to start with, we tend to tend to come to a decision plenty of decisions that encourage North yankee nation to acknowledge harmful applications from kind ones. for instance, we discover that vindictive applications normally share names with elective applications, which they for the foremost half demand less authorizations than amiable applications. Second, contributory these recognizing decisions, we tend to show that LSTM can find malignant applications with ninety nine .5% exactness, with no imitative positives and a high obvious positive rate (95.9%). At long last, we tend to tend to research arrange of harmful Facebook applications and distinguish parts that these applications use to unfold. Curiously, we discover that few applications get together and bolster every other; in our dataset, we discover 1584 applications endorsing the being engendering of 3723 choice applications through their posts. Long haul, we tend to tend to examine LSTM as a stage toward creating Associate in Nursing freelance working dog for application appraisal and positioning, during this manner on caution Facebook purchasers before putting in applications. 01 30 2020 819 825 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8403.019320 https://www.ijitee.org/portfolio-item/C8403019320/ Assistant Professor at School of Computer Science , University of Petroleum and Energy Studies , Dehradun, India. Jagdish Chandra Patni* Hitesh Kumar Sharma Assistant Professor at School of Computer Science , University of Petroleum and Energy Studies , Dehradun, India. There are number of customers who buy items on the web and make installment through different websites. There are various websites who request that client give delicate information, for example, username, secret word or master card points of interest and so on regularly for noxious reasons. This sort of websites is known as phishing site. With a specific end goal to identify and foresee phishing site, we proposed an astute, adaptable and successful framework that depends on utilizing characterization Data mining calculation. We actualized arrangement calculation and strategies to extricate the phishing informational collections criteria to order their authenticity. The phishing site can be identified in light of some imperative attributes.This application can be utilized by numerous E-trade endeavors to influence the entire exchange to process secure. Information mining calculation utilized as a part of this framework gives better execution when contrasted with other conventional orders calculations. With the assistance of this framework client can likewise buy items online with no delay. Administrator can include phishing site url or phony site url into framework where framework could access and sweep the phishing site and by utilizing calculation, it will add new suspicious watchwords to database. System utilizes machine-learning method to include new catchphrases into database. 01 30 2020 483 487 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8408.019320 https://www.ijitee.org/portfolio-item/C8408019320/ Student, Department of Civil Engineering, KLEF, Vaddeswaram, Andhra Pradesh, India. J. Chetan Anand* Mehul Jain Student, Department of Civil Engineering, KLEF, Vaddeswaram, Andhra Pradesh, India. T. Harish Kalyan Student, Department of Civil Engineering, KLEF, Vaddeswaram, Andhra Pradesh, India. N. V. Lakshmana Rao Student, Department of Civil Engineering, KLEF, Vaddeswaram, Andhra Pradesh, India K Shyam Chamberlin Assistant Professor, Civil Engineering department, KLEF, Vaddeswaram, Andhra Pradesh, India. The Population Is Increasing Day By Day So That No-Of Construction Activities Are Increasing Daily Which Turning The World Into A Concrete Jungle. The Need For Land Is Increasing For Construction Purpose. Black Cotton Soil Is Belonging To One Of The Major Soil Deposits In India. The Nature Of The Black Soil Is Highly Expansive. Its Nature Varies According To Moisture Present In The Soil. It Will Expand In The Presence Of Water And It Will Contract In The Absence Of Water. Due To This Nature, It Becomes A Very Danger To Construct A Structure In This Type Of Soils. It May Leave Severe Damage To The Foundation And Superstructure. Many Stabilization Methods Are Improved To Overcome This Problem. This Experimental Study Was Done One Black Cotton Soil To Improve Its Characteristics By Adding Admixtures Like Quarry Dust And Lime. Various Properties Like Liquid Limit, Plastic Limit, Maximum Dry Density, Optimum Moisture Content And California Bearing Ratio Were Studied By Adding Admixtures To The Black Cotton Soil. Experimental Study Shows An Effective Increase In Properties Of Black Cotton Soil. With The Help Of Studying Different Literature Papers, It Was Found That Black Cotton Soil Which Is Replaced With Quarry Dust Above 10% Shows Some Increase In Properties. Whereas For Lime It Is In Between 2% To 6%. 01 30 2020 3623 3626 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8410.019320 https://www.ijitee.org/portfolio-item/C8410019320/ Professor, Civil Engineering Department/ Near East University/ North Cyprus, Nicosia, Via Mersin 10, Turkey, Huseyin Gökҫekuş* Youssef Kassem Assist. Professor, Civil Engineering Department/ Near East University/ North Cyprus, Nicosia, Via Mersin 10, Turkey, Muhammad Kh. Musa Ph.D. Students, Civil Engineering Department/ Near East University/ North Cyprus, Nicosia, Via Mersin 10, Turkey solid wastage yielding in a landfill badly influenced the encompassing condition and people habitat nearer to landfill destinations. Landfill is the most established and the most widely recognized type of evacuation and transfer of waste, comprising the last discarding technique for solid waste in the city. It is outstanding that the effect of MSW landfills leads to contamination of every single natural segment. The negative natural effect of landfills diminished by employing preservation advancements and proper sold waste administration techniques. The nowadays investigation attempted observing of the city wastage landfill effect on the circumference. The spatial attributes of the region affected by the waste dumping and the conceivable effect of leachate utilizing phytotoxicity tests were done. The landfill is built, with base liner and leachate and landfill gas gathering and remedy and curing framework. The transition of leachate and gas from the corpus of landfill into the encompassing condition present a genuine natural concern, which mingle to groundwater squalor, air contamination with sway on atmosphere through methane outflow and potential wellbeing risks. This paper shows an influenced of solid waste land fill in environment. Populaces, particularly those living nearer to the landfill area contamination sources are in danger of both short and long haul impacts of natural, physical and chemical contaminants, including water and food borne sicknesses, substantial metals poisonings and other possibly dangerous components and mixes present noticeable all around, water, soil, particularly in north of Iraq. By and large, there is absence of vital strategies, guidelines and rules in all divisions and at all levels in connection to sheltered and ecological neighborly tasks in agribusiness, industry, vitality, and open administrations. 01 30 2020 756 763 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8412.019320 https://www.ijitee.org/portfolio-item/C8412019320/ Department of CSE, Chaithanya Bharathi Institute of Technology(A),Hyderabad, India. Vanitha Guda* Suresh Kumar Sanampudi Department of IT JNTUCEJ, Nachupally Jagityal Karimnagar,India Events and time are two major key terms in natural language processing due to the various event-oriented tasks these are become an essential terms in information extraction. In natural language processing and information extraction or retrieval event and time leads to several applications like text summaries, documents summaries, and question answering systems. In this paper, we present events-time graph as a new way of construction for event-time based information from text. In this event-time graph nodes are events, whereas edges represent the temporal and co-reference relations between events. In many of the previous researches of natural language processing mainly individually focused on extraction tasks and in domain-specific way but in this work we present extraction and representation of the relationship between events- time by representing with event time graph construction. Our overall system construction is in three-step process that performs event extraction, time extraction, and representing relation extraction. Each step is at a performance level comparable with the state of the art. We present Event extraction on MUC data corpus annotated with events mentions on which we train and evaluate our model. Next, we present time extraction the model of times tested for several news articles from Wikipedia corpus. Next is to represent event time relation by representation by next constructing event time graphs. Finally, we evaluate the overall quality of event graphs with the evaluation metrics and conclude the observations of the entire work. 01 30 2020 581 586 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8419.019320 https://www.ijitee.org/portfolio-item/C8419019320/ Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. Bhanu Kiran Devisetty* VVS Sasank Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. Arpita Roy Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. Sadhana Burla Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. Over the most recent couple of years there is a gigantic improvement in advanced innovation . Most the data is in the form of images, videos and audios. But there are various software’s to modify these images. So the data we transmit through the digital images may not be secure. For example if we are using an image as an evidence then there may be a chance of modifying that image. There may be a risk of using a digital image as evidence. So, it’s not secure to use digital images as evidence. So we decided to do a research on technology that provide security to tampered images. But there are many technologies to detect tampered images. Our project mainly focused on watermarking technique to detect tampered images. 01 30 2020 3063 3068 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8420.019320 https://www.ijitee.org/portfolio-item/C8420019320/ Independent reseacher of the “History of Uzbekistan” department, Karshi engineering-economics institute, Karshi city Uzbekistan. Sharopova Nigora Akbarovna* the importance of secondary education has been becoming more crucial than ever. Developing countries always pay great deals of attention to this in order to strengthen the quality form the very beginning of the early ages of nation. This article explains the issues of supplying general education schools in Uzbekistan's southern provinces during the years of independence, lack of teachers on the subject, problems of improving pedagogical cadres and ways to overcome them. 01 30 2020 1609 1611 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8422.019320 https://www.ijitee.org/portfolio-item/C8422019320/ Research Scholar & Assistant Professor, Department of Civil Engineering, Angadi Institute of Technology & Management, Belagavi, affiliated to Visvesvaraya Technological University, Karnataka, India. Mr. Amar S. Byakodi* Dr. B.T. Suresh Babu Professor, Department of Civil Engineering, Angadi Institute of Technology & Management, Belagavi, affiliated to Visvesvaraya Technological University, Karnataka, India. Distilleries are one of the important secondary agro based industries. Every liter of alcohol produced will generate around 8 to 10 liters of Spentwash, which is highly complex liquid waste with dark reddish brown colour. Distilleries are listed in Red category by Ministry of Environment, Forest and Climate Change, Govt. of India, due to the complexity of Spentwash. This liquid waste is very difficult to treat and safe disposal of the same is a tedious task for distilleries. Most of the distilleries have adopted anaerobic digestion as a source of energy recovery by extracting methane from spentwash. The effluent from the anaerobic digester is called Bio-methanated Spentwash (BMSW), which is partially treated, but still concentrated and the same cannot be disposed into the environment safely. Present study is a part of Research work, which concentrates on various treatment techniques to further treat the Bio-methanated Spentwash to use it in composting of Pressmud in field scale. Electrocoagulation, Adsorption and Fenton Oxidation are selected as treatment techniques for the study, to convert Bio-methanated Spentwash into Stabilized Spentwash (SSW). This study showed, Fenton oxidation has a maximum removal efficiency with COD reduction of 45%, but produces volatile organic fumes harmful for the living beings. Hence, for the field scale implementation of Stabilization of Spentwash, Electrocoagulation process is recommended, due to its efficiency and practical feasibility of implementation . 01 30 2020 2600 2603 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8425.019320 https://www.ijitee.org/portfolio-item/C8425019320/ Research Scholar, Visvesvaraya Technological University, Belagavi, Karnataka, India, Naveen T.H* Vasanth G Prof & Head, Dept. of Computer Science & Engineering Government Engineering College, Krishnarajpet, Mandya District, Karnataka, India Since many years the area of wireless networks provided various solutions to promote a better quality of communication aspects in our day-to-day lives. Wireless mesh networks (WMNs) being a subset, emerging as a promising technology-oriented network as it comprises of a set of key features such as robustness, simplicity in operating conditions, fault-tolerant capability and faster process of deployment. The area has a wide range of commercially deployable applications where the communication gets carried out in multi-hop fashion between nodes. Here, nodes act as both the router and the host. Despite having potential characteristics features WMNs routing and Quality-of-Services (QoS), performance improvement is a key challenge derived in many studies. The formulated study thereby addresses this problem and come up with a novel routing solution to attain better QoS aspects such as throughput performance, delay performance in the context of WMN. The design of the formulated approach applies two prime functional schema i) approaches to handle the QoS problem, and along with this ii) the analytical design and modeling of the formulated routing approach aims to mitigate the hidden terminal problems with extensive quantitative analysis. The mathematical modeling approaches are further computationally executed, and assessment of aggregated throughput, energy, and QoS ratings are retained. Finally, the experimental outcome demonstrated that the presented approach attains better QoS and energy performance improvement (~60% and ~70% respectively) as compared to existing baseline models SOAR and ROMER. 01 30 2020 266 271 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8429.019320 https://www.ijitee.org/portfolio-item/C8429019320/ Department of Electrical Engineering, Sharad Institute of Technology College of Engineering, Yadrav (Ichalkaranji), Kolhapur (Dist.), Maharashtra, India. K. Hussain* Puli Sridhar Department of Electrical and Electronics Engineering, TRR College of Engineering, Patancheru, Telangana, India. This paper presents a new control method for Unified Power Quality Conditioner (UPQC) for effective management of the power-sharing and improvement of the quality of power. The voltage disturbances produced in the source side due to non-linear load conditions can be protected using the UPQC model. Flexible Alternating Current Transmission System (FACTS) devices were fed through a hybrid power generator that had the primary source, a Proton Exchange Membrane Fuel Cell (PEMFC) and a secondary source, a supercapacitor. In this paper, a multi-objective function (power factor, voltage sag, and the total harmonic distortion (THD)) with different control strategies have been considered. An optimization algorithm named Flower Pollination Algorithm (FPA) has used for optimizing Proportional Integral (PI) coefficients. A suitable fitness function has been developed for the FPA method and the simulation performed. The performance of the FPA method has been compared with three different algorithms, namely, particle swarm optimization algorithm (PSOA), Differential Evolution Algorithm (DEA), and Ant Colony Optimization Algorithm (ACOA). The result obtained shows the proposed FPA providing the best result compared to other methods. 01 30 2020 3493 3502 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8433.019320 https://www.ijitee.org/portfolio-item/C8433019320/ FCA, Manav Rachna international Institute of Research and Studies, Faridabad, India. Seema Sharma* Dr. Shaveta Bhatia FCA, Manav Rachna international Institute of Research and Studies, Faridabad, India. Software testing is one of the most vital factors in software development life cycle. It is mainly used for testing the program code, known as white box testing and to test the functionality of the program, known as black box testing. Manual generation of test data is very costly, error vulnerable and time consuming task. Subsequently, there is a need to make the process automated as could be expected under the circumstances. This paper presented the automated generation of optimal path with intention of attaining the maximum coverage. The work being done considers the optimal path coverage in minimum cost. The task of generating test cases can be done through the concept Genetic Algorithm with importance of variable (GABVIE). The proposed algorithm additionally considers programs having numerous modules. This is vital as a large portion of the current test data generators not succeeded to establish the communication between the modules. The approach has been implemented on various program code and the outcomes got have been confirmed. The proposed work considers the white box testing. 01 30 2020 587 593 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8436.019320 https://www.ijitee.org/portfolio-item/C8436019320/ Research Scholar, Department of PG & Research in Computer Science, Jairams Arts and Science College, (Affiliated to Bharathidasan University) Karur, Tamil Nadu, India. K.V. Nithya* Dr.V. Umadevi Research Supervisor, Department of PG & Research in Computer Science, Jairams Arts and Science College (Affiliated to Bharathidasan University) Karur. Tamil Nadu, India. This paper investigates the problem of energy efficient and consumption process in wireless sensor networks. The fundamental problem in WSN has handled the energy constraints and avoiding end-to-end delay networks. We introduce encoding technique for handling transmission data, network delays, content aware service and energy expenditure problems. The end-to-end delay varies depending up on nodes and sensor life time. We apply hamming encoding technique for estimating energy constraints with life time of buffer capacity factor. This paper proposes the novel based approach to handle group communication, senor node status, network transmission and optimal encoded behaviors. Each cluster group values are sensed by node reference time and calculate hamming code weight for each node counts. The quality of services can be achieved by energy saving measurements and data loss can be varies up on incoming packet request. We compare the encoded result with code word situation and hazard environment. We reduce the amount of data transmission factor and life time of sensor values and longer network delays. We show the simulating results with encoding scheme and reduced energy consumption. The performance can be monitored by coverage constraints and optimal transmission behaviors. 01 30 2020 3069 3072 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8438.019320 https://www.ijitee.org/portfolio-item/C8438019320/