-74813b3e17f460286df-4950 20220416033343762 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 04 30 2020 9 6 Professor and Researcher, Department of graduate studies and scientific research ,Princess Nourah Bint Abdul Rahman University, Riyadh, Kingdom of Saudi Arabia. Dr Sanjeevni Gangwani* Dr Shweta Sharma visiting faculty, business administration, Indore Dr. Shanoo Sheikh working as Assistant professor in clinical psychology department college of health and Rehabilitation , princess Nourah bint abdul rehman university ,Riyadh, Kingdom of Saudi Arabia Indian textile industry is one of the prominent contributors in the overall country export and national economy. It provides enormous employment opportunities for Indian labour. Textile industry is ranked as the second largest source of employment in India following agriculture. Thus, the growth and the all round development of this industry plays a direct role in the progress of the economy of the nation. Any Industry can face the current global competition and achieve higher productivity if its workforce is committed. To ensure effective performance of all workers towards organization goals, industry must provide proper working conditions, work environment and adequate facilities. Improper work environment and working conditions are not only the reason behind job dissatisfaction increased turnover, reduced performance and productivity but also directly or indirectly impacts the work life balance of workers. So as to retain its skilled workers, it’s important to maintain their satisfaction level in the industry and identify the areas to improve the WLB of workers. The aim of this research is to analyse the satisfaction level of workers with respect to the working conditions in the textile industry and to measure its effect on the work life balance of workers. The population for study consisted of factory workers working in the textile industry of Madhya Pradesh. Managers and supervisors were excluded from the study.The present research was carried out so as to offer an insight and recommend on the ways in order to enhance the WLB by making the working circumstances better for the workforce employed in the textile industry. Findings depict that most of the work-environment allied factors had a negative effect on the work life balance of workers. Results also throw light on the fact that employed workers are not comfortably placed in their workplace and this has rigorous implications on the families, organizations and society in general. It is exceedingly recommended for organizations to follow worker-friendly policy along with more supportive and thoughtful families, so that workers have harmony and their work-life balance could be maintained. 04 30 2020 661 666 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2259.049620 https://www.ijitee.org/portfolio-item/E2259039520/ Department of Physics, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, (MS) India. K. M. Jadhav* B. A. Patil Department of Physics, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, (MS) India. Jitendra S. Kounsalye Department of Physics, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, (MS) India. R. D. Kokate Department of Physics, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, (MS) India. Inverse spinel structured cobalt ferrite is one of the capable nominee for information storage and also in nanoelectronics devices. The present paper reports the rietveld refined structural, elastic, electrical and dielectric behaviour of titanium doped CoFe2O4 NP’s. The synthesis of Co1+xTixFe2-2xO4 (where, 0.0  x  0.5) nanoparticles was performed using self generated combustion technique. The prepared NP’s were characterized by X-ray diffraction technique (XRD) and Fourier transform infrared spectroscopy (FT-IR) technique to analyze the structural and elastic properties. The analysis of XRD patterns confirms the formation of single phase spinel cubic structure of all the prepared samples. The diffractograms obtained at room temperature were used for Rietveld refinement to determine the lattice constant, oxygen position, average crystallite size etc. parameters. The elastic modules were investigated through vibrational bands in FTIR spectra. The band positions in FT-IR spectra confirmed the octahedral [B] and tetrahedral (A) stretching which evident the ferrite skeleton. The plot of DC electrical resitivity with respect to temperature shows the semiconducting behaviour of the nanoparticles. The activation energy determined through resistivity plots, show decreasing nature with incrementing Ti4+ doping in cobalt ferrite. The dielectric parameters decreased exponentially with increasing frequency and with Ti doping. 04 30 2020 257 262 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2454.049620 https://www.ijitee.org/portfolio-item/E2454039520/ Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur. Tavishi Priyam* AMJ Muthukumaran Assistant Professor, Department of Computer Science & Engineering at SRM Institute of Science and Technology, Chennai. Himanshu Vinayak Mobile Developer, Department of Computer Science & Engineering at SRM Institute of Science and Technology, Chennai. Speech Recognition is an interdisciplinary technique used to convert spoken language into text. It is a sub domain of computational linguistics and can be implemented using Machine Learning and Deep Learning Algorithms. Opinion Mining or Sentiment Analysis is a process which enables identifying opinions expressed by an author in a piece of text computationally. This opinion refers to the polarity of the expressed opinion, i.e. positive or negative. Through this research work, we aim to combine these two natural language processing techniques and devise a system that can take speech as the input and determine the sentiment behind the speakers’ words. The subject of the speech input may vary but the end goal is to recognize whether the attitude of the speaker towards the subject was positive or negative. The input will be converted to text and this text will then be classified using several different machine learning techniques. These include Naïve Bayes’ Classifier, Support Vector Machine, Logistic Regression and Decision Trees. After classification, the results for the three classifiers will be predicted and compared. Future scope of the project includes creating an ensemble of these classifiers to get better accuracy and precision of determining the sentiment of the speaker. 04 30 2020 1189 1193 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2466.049620 https://www.ijitee.org/portfolio-item/E2466039520/ Department of Informatics Engineering, Faculty of Computer Science (FILKOM), Brawijaya University, Malang, Indonesia. Ratih Kartika Dewi* Yuita Arum Sari Department of Informatics Engineering, Faculty of Computer Science (FILKOM), Brawijaya University, Malang, Indonesia. Agus Wahyu Widodo Department of Informatics Engineering, Faculty of Computer Science (FILKOM), Brawijaya University, Malang, Indonesia. Faishal Pradipta Astungkoro Department of Informatics Engineering, Faculty of Computer Science (FILKOM), Brawijaya University, Malang, Indonesia. Nurul Ilmi Muhlisah Aziz Department of Information System, Faculty of Computer Science (FILKOM), Brawijaya University, Malang, Indonesia. Exercising can make the body produce more endorphins so people with regular exercise are more resistant to stress than those who have little physical activity. We can get a recommendation of the sport venue in search engine, but it can’t accommodate personal preference. The mobile application for sports venue recommendations (M-health) with specific attribute weighting that can accommodate user preference for a specific attribute can be implemented with the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) algorithm. TOPSIS was chosen as a recommendation algorithm because it has a relatively low level of algorithm complexity, so it is suitable to apply in mobile devices. To test the recommendations that are processed with TOPSIS, correlation testing is done as an alternative test besides accuracy. In general, the system takes the user's location coordinates and then recommends a Futsal court based on location, price and the number of courts. First, the user is inquired to enter the weights for each criterion. Then the user gets a recommendation for a Futsal court recommendation according to the user's current location. If the user wants detailed information about the desired futsal location, the user can click on one of the futsal places and then the detail page will be appear. After seeing the details of the selected futsal place, users can view the map to go to the relevant sports venue from the user's current location. Testing the recommendation system was based on correlation testing to see the correlation between the recommendations built by the system compared to the user's preference choices. Correlation testing was carried out to see whether there was a relationship between the results of the TOPSIS recommendation and the user's preference of sport venue. The correlation between them shows a positive correlation with a value of 0.770769231. 04 30 2020 2143 2146 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2490.049620 https://www.ijitee.org/portfolio-item/E2490039520/ Assistant professor, Department of CSE GITAM University, Hyderabad, Telangana, India. K. Sandhya* Y. Sunanda Assistant professor, Department of CSE, Malla Reddy Institute of Technology & Science, Hyderabad, Telangana, India. Mobile devices have several sensors, including GPS that can capture information about the location of a mobile user. The use of certain devices will, therefore, simplify services and make it simpler for operators to respond to the demands of mobile users. The main aim of this analysis is to incorporate middleware to pick suitable cloud services that leverage from mobile device position and cost preferences. If the number of small activities within a meta feature exceeds the number of major work, the Max min algorithm device operations are conducted in addition to big tasks, where the design of the process is dependent on how many functions it does. The model is wide since tasks cannot be conducted simultaneously. A new amendment to the computation system is used to overcome the drawbacks of the Max-Min algorithm. It encompasses the positives of Max-Min and eliminates drawbacks. This study focuses specifically on the number of resources and incidents. The work can be further expanded with the algorithm suggested for the cloud system and several other parameters such as scalability, performance, reliability, and others can be taken into account. 04 30 2020 564 567 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2573.049620 https://www.ijitee.org/portfolio-item/E2573039520/ Construction Engineering Vocational Education Program Civil Engineering Department, Engineering Faculty, Universitas Negeri Semarang E4 Building, Sekaran Campus, Gunungpati, Semarang Eko Nugroho Julianto* Ulfatun Ni`mah Construction Engineering Vocational Education Program Civil Engineering Department, Engineering Faculty, Universitas Negeri Semarang E4 Building, Sekaran Campus, Gunungpati, Semarang Water distribution systems are built to meet the water needs of a city or community. The management of water distribution can be conducted by government agencies as well as independently as in Sekar Gading Residence. The aim of this study was to determine the performance of water network service managed by Sekar Gading Residence Service by analyzing the performance of network service to network ability in fulfilling minimum requirement of customer from water discharge side. The result of debit analysis from water meter showed that the reliability level was 70%. While, the system can be considered to be satisfactory if the minimum reliability level of 80% is fulfilled. Therefore, the water management system would be n failling condition about 2.94 months, and with very failure rate varying between 14.29% to 71.43% deficit. The conclusion of this study is the performance of clean water network service in Sekar Gading Housing was not up to the optimal solution. 04 30 2020 2159 2163 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2644.049620 https://www.ijitee.org/portfolio-item/E2644039520/ Department of Civil Engineering, Diponegoro University, Indonesia Slamet Hargono* Erhar Augusto Ministry of Public Works, Indonesia The number of container boxes handled at the container terminal dynamically fluctuates as a function of a number of parameters. The most prominent variables influencing are the Economics’ National Program, the location and trading characteristics of the terminal, and the land use programs of hinterlands. Further, it is one terminal could serve more than one quay simultaneously. This research was conducted in order to determine the optimal performance of container terminals, along with the utilities to the increase in container terminal services Semarang. The results are expected to reveal the existing problems related to the services of a container terminal, especially regarding the following matters: review and develop performance indicators container terminals that is optimized especially for Semarang container terminal (TPKS), knowing the performance level of the container terminal at TPKS utility, and knowing the number of containers optimal service units, ranging from dock to yard container based on the rate of arrival of containers in TPKS. The research methodology used in this study is as follows: conducting a literature study/library, in order to obtain an overview of problems faced by the Semarang container terminal (TPKS), data collection related to the performance of container terminal, processing and analyzing research data to obtain a technical description of the various parameters needed in evaluating the Container Terminal Performance Indicators, Optimal Value of the service unit loading and unloading containers, ships and goods flow forecasting, producing Container Terminal Performance Indicators, formulate conclusions and recommendations from the results obtained in the performance evaluation process and service optimization Container Terminal loading and unloading of containers. The container terminal performance is an important indicator to evaluate the operational continuity and smoothness, in fulfilling its major function in serving the transportation mechanism of goods. One method to evaluate the container terminal performance is to observe the service level and utility of this terminal. From the evaluation’s results, a program to improve and to enhance the service levels for the future could be designed. The methodological approach accessed in this research work includes BOR (Berth Occupancy Ratio) data collecting, data processing and analysis using multiple methods, and producing a conclusion. The results are also to typical research topics. The study yielded in a BOR for the period till 2015 based on a BOR mooring of 34 - 45 percent. The benefits of this research can be used to improve container terminal performance. 04 30 2020 2164 2167 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2645.049620 https://www.ijitee.org/portfolio-item/E2645039520/ Doctoral of Civil Engineering, Diponegoro University Semarang, Indonesia Joko Y.E. Warsito* Jati D.U. Hatmoko Department of Civil Engineering, Diponegoro University Semarang, Indonesia Rusdi H. Ataf Department of Civil Engineering, Lambung Mangkurat University, Banjarbaru, Indonesia Various piles driving equipment can be used for piling in building projects. In densely populated urban area, more environmentally friendly pile driving equipment, such as hydraulic static pile driver (HSPD) is therefore needed. There are important factors influence the HSPD productivity that are implied in treatment of pile in soil, such as soil type, driven pile size, piling depth, and cycle time. While some methods are available to estimate construction productivity, each method has limitations, such as unreliable prediction and difficult implementation. In present research, HSPD productivity in construction project has been estimated by deterministic modelling, so produced the chart model of HSPD productivity of rectangular and triangular shaped piles in silty soil. Data were collected through site observation from five building projects in three cities of Indonesia, i.e. Semarang, Pati, and Solo. A deterministic model has been designed utilizing data of 180 piling points from the five projects and simulation, so was obtained the chart model of HSPD productivity. Validation of the outputs of the model shows a valid result with an average validity value of 95.6% and standard deviation of 3.3%. Sensitivity analysis of these outputs shows an average sensitivity value of 88.25%. The productivity chart is valuable to plan and to estimate time related to the use of HSPD in construction projects. 04 30 2020 2168 2174 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2646.049620 https://www.ijitee.org/portfolio-item/E2646039520/ Earth Observation Center (EOC), Institute of Climate Change & Department of Civil & Structural Engineering, Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia Khairul Nizam Abdul Maulud* Nurul Amera Nazman Department of Civil & Structural Engineering, Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia Muhammad Amartur Rahman Earth Observation Center (EOC), Institute of Climate Change & Department of Civil & Structural Engineering, Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia Solid waste is a waste generated every day. The amount of solid waste generation depends on the total area of housing and services, the area of the places, and activities. The increase in population, housing and services in the area has resulted in the generation of solid waste. The solid waste should be disposed of to prevent the spread of disease and to keep the environment clean. Normally, solid waste will be disposed of in landfill sites. In four districts in Negeri Sembilan that is Jelebu, Jempol, Kuala Pilah and Tampin, the existing landfill in these areas have reached semi-critical status and the capacity is about to reach the maximum level. Therefore, this study was undertaken to proposed the most ideal and effective new solid waste landfill based on the distribution of housing in an area using the Geographic Information System (GIS). GIS serves as a hardware device that stores information and databases of the area and analyzes data to produce the output required by the user. In addition, this study was conducted to investigate and determine the criteria and weighting factors taken into account in determining the location of landfill sites. In addition, this study also conducted to identify the optimization of disposal of solid waste and the type of new landfill proposed. Some analyzes such as Analysis Geoprocessing, Model Builder, OD Cost Matrix, Network Analyst and Service Area has been carried out to obtain an ideal location to serve as a solid waste disposal site. Based on the analysis, the new landfill can cover 242 of housing areas within 25 kilometers from the landfill compared to the existing landfill that only covered 165 of housing areas only. Finally, the siting of the landfill using GIS application is the best system in helping the user to determine the new landfill in such a fastest way. 04 30 2020 2175 2179 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2648.049620 https://www.ijitee.org/portfolio-item/E2648039520/ Biophysics Department, Faculty of Science, Cairo University, Egypt. Ebtesam A. Mohamad* Naglaa Moussa Balabel Plant Pathology Research Institute, Agric. Res. Center, Egypt. We study the effect of promoting low magnetic field exposure on antimicrobial activity against Erwinia amylovora (E. Amylovora) bacterium. For this purpose, we treated E. amylovora at 28°C with two intensities (0.2T and 0.5T) of the magnetic field for one hour to see the intensity of bacterial growth inhibition. Bacterial growth was measured in experimental samples. The results indicate that exposure to E. amylovora to 0.2T and 0.5T for 1 hour reduced bacterial growth. Dielectric relaxation studies of treated and untreated alive bacterium showed changes of the surface charge distribution of the bacterium which indicates changes in the receptor properties and hence cell communications. The study showed bacteria treated with the magnetic field which was exposed for an hour, adjusted its cellular activity, slowing the rate of growth and affecting microbial pathogenicity. The effect was higher at 0.5 T than 0.2 T. We concluded that magnetic field formation is a promising technique for treating this type of bacteria. 04 30 2020 2139 2142 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2682.049620 https://www.ijitee.org/portfolio-item/E2682039520/ Assistant Professor in the department of Computer Science and Engineering at Sri Krishna College of Technology. Sruthi M S* Sushmitha Magudeswaren Student of B.E in Computer Science and Engineering at Sri Krishna College of Technology, Coimbatore. Soniya Tamilarasu Student of B.E in Computer Science and Engineering at Sri Krishna College of Technology, Coimbatore. Sushmitha Muralitharen Student of B.E in Computer Science and Engineering at Sri Krishna College of Technology, Coimbatore. Different computational procedures and gadgets are open for data examination. At the present time, took the advantages of those open developments to improve the adequacy of the estimate model for the desire for a Type-2 Diabetic Patient. We intend to inquire about how diabetes scenes are impacted by patients' characteristics and estimations. The capable gauge model is required for clinical researchers. Until generally, Type II diabetes was evaluated uncommon in children. The contamination is, nonetheless, creating among youths in peoples with high paces of Type II diabetes in adults. This work presents the adequacy of Gradient Boosted Classifier which is obscure in past current works. It is related to two AI figuring’s, for instance, Neural Networks, Random Forest. These estimations are applied to the Pima Indians Diabetes Database (PIDD) which is sourced from the UCI AI storage facility. The models made are surveyed by standard techniques, for instance, AUC, Recall, and Accuracy. As obvious, Gradient helped classifier clobbers other two classifiers in all introduction qualities. 04 30 2020 568 570 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2689.049620 https://www.ijitee.org/portfolio-item/E2689039520/ Department of Computer Science & Engg, Dr. BAMU, Aurangabad, India. Swati Vithal Khidse* Dr. Santosh S. Lomte Radhai Mahavidhyalaya, Aurangabad, India. Users are using the cloud database services for storing there important data in order to utilized cloud services. Data confidentiality remains one of the main concerns and the major barrier to the development of cloud services. But at the same time users also think about “whether there data is in secured hands and how it is protected from the outside world?” In order to make sure users that there data is in safe hands, cloud database are using more secured mechanism for accessing the cloud database. In order to achieve the goal of security we are using AES and honey encryption (HE) algorithm for strong authorization. Before authorization we need to have authentication of the users. We are using keystroke dynamics as a biometrics authentication and second one as color code authentication. Cloud databases should also be properly maintained from security point of view. For the different levels of the cloud database we have find out the security issues which provide help in maintenance of cloud database. By implementing these issues the security of the cloud database will be more increased. 04 30 2020 2134 2138 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2712.049620 https://www.ijitee.org/portfolio-item/E2712039520/ Department of Computer Science & Engineering, Research Scholar, Koneru Lakshmaiah University, Vijayawada, India. Mrs. Sirisha Eedupuganti* Dr. Pragnyaban Mishra Department of Computer Science & Engineering, Koneru Lakshmaiah University, Vijayawada, India. The present day life styles are changing the food habits of the human beings by force and these food styles are leading towards problems related to health care in particular. Because of the dynamic changes, the impact of the health is being deteriorated and many diseases are therefore getting triggered to the mankind. Among the various diseases, gastroenterology related diseases are being growing exponentially because of the in healthy food styles. This indirectly leading towards diseases in particular to liver and pancreas. Many researchers and eminent practitioners in the field of domain are experimenting to compact the disease from further complications. The complications include liver cancer, enlargement of liver, shrinkage of liver, pancreas problems which eventually leads to diabetic diseases. The present article aims at bringing out the different methodologies and techniques that are developed by the eminent researchers to highlight the state of work in the present domain. 04 30 2020 263 266 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2726.049620 https://www.ijitee.org/portfolio-item/E2726039520/ Lecturer at Wolkite University, Wolkite Ethiopia. Worku Muluye Wubet* Deepfake is a combination of fake and deep-learning technology. Deep learning is the function of artificial intelligence that can be used to create and detect deepfakes. Deepfakes are created using generative adversarial networks, in which two machine learning models exit. One model trains on a dataset and then creates the deepfakes, and the other model tries to detect the deepfakes. The forger creates deepfakes until the other model can't detect the deepfakes. Deepfakes creating fake videos, images, news, and terrorist events. When deepfake videos, and images increase on social media people will ignore to trust the truth. Deepfakes are increasingly affecting individuals, communities, organizations, security, religions, and democracy. This paper aims to investigate deepfake challenges, and to detect deepfake videos by using eye blinking. Deepfake detections are methods to detect real or deepfake images and videos on social media. Deepfake detection techniques are needed original and fake images or video datasets to train the detection models. In this study, first discussed deepfake technology and its challenges, then identified available video datasets. Following, convolutional neural networks to classify the eye states and long short term memory for sequence learning has been used. Furthermore, the eye aspect ratio was used to calculate the height and width of open and closed eyes and to detect the blinking intervals. The model trained on UADFV dataset to detect fake and real video by using eye blinking and detects 18.4 eye blinks per minute on the real videos and 4.28 eye blinks per minute on fake videos. The overall detection accuracy on real and fake videos was 93.23% and 98.30% respectively. In the future research and development needs more scalable, accurate, reliable and cross-platform deepfake detection techniques. 04 30 2020 789 796 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2779.049620 https://www.ijitee.org/portfolio-item/E2779039520/ Assistant Professor, Department of Computer Science and Engineering, Bangalore Institute of Technology, India Dr. Hemavathi P* The study introduces novel analytical modeling of a multipath fault-tolerant routing approach where the design principle is formulated based on a bio-inspired optimization modeling of swarm optimization principles. The prime objective of this novel approach is to deal with network failures of Internet-of-Things (IoT) in a faster manner and recover the network operations as early as possible without compromising much energy. This way, the network becomes more reliable and sustainable even if any events occur that make the senor node functionally disabled and even if any types of path failures take place, regardless of energy consumption factors in IoT routing scenarios. However, the approach also capable of handling energy problems during the IoT routing scenario to a significant extent. Further, the outcome of the study shows that the fault-tolerance routing approach based on unconventional particle swarm optimization (FT-PSO) attains better results as compared to the existing baselines. 04 30 2020 267 271 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2785.049620 https://www.ijitee.org/portfolio-item/E2785039520/ Assistant Professor, Department of ECE, Sri Krishna College of Engineering and Technology Soundari D.V M.E.* Kuralarasi R PG Student, Department of ECE Sri Krishna College of Engineering and Technology Kalieshwari S PG Student, Department of ECE, Sri Krishna College of Engineering and Technology Kanimozhi M PG Student Department of ECE Sri Krishna College of Engineering and Technology Kanimozhi N PG Student Department of ECE Sri Krishna College of Engineering and Technology In this world, Intrusion Detection is more popular for preparing the network security systems. In current trend of increasing security system, there is a demand for Intrusion Detection. With these clarifications need to find a huge Data measurement, high speed traffic’s and frequent forms of threats. In this work, Intrusion Detection is done by Deep Auto-Encoder network (DAEN) and Modified BAT algorithm (MBA). Our approach improves the Deep Auto Encoder (DAE) classifier by manipulating the benefits of an additional process encourage through the atmosphere of microbats (Bat Procedure). The core aim of this work is to select the features based on Modified Bat Algorithm. Towards examine the model, using the NSL-KDD data’s and the survey of Modified Bat Algorithm will be discussed. Moreover, these methods do well to improve DAEN classifier and get reliable performance in standing of accuracy (96.06%), attack detection rate (95.05%). 04 30 2020 571 576 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2788.049620 https://www.ijitee.org/portfolio-item/E2788039520/ Student, Department of Computer Science & Engineering, SRM Institute of Science and Technology, Kattankulathur India. Hritik Rao* Pranjay Bajaj Student, Department of Computer Science & Engineering, SRM Institute of Science and Technology, Kattankulathur India. Kanmani Sivagar Assistant Professor, Department of Computer Science & Engineering, SRM Institute of Science and Technology, Chennai, India. Patients suffering from prolonged diabetic conditions are prone to Diabetic Retinopathy (DR) which leads to vision impairment if left untreated. Diabetic Retinopathy has been on the rise across the globe due to an increase in the number of diabetic patients. Diabetic Retinopathy detection in early stages has become vital to prevent permanent vision impairment and avoid arduous medical treatment in the later stages. Diabetic Retinopathy (DR) causes damage to the retina and gradual loss of sight and in severe cases permanent vision impairment eventually leading to blindness. An early analysis of Diabetic Retinopathy helps in controlling the progress of the disease and increases the chances of recovery. An automated classification of Diabetic Retinopathy using images is a difficult job due to the microscopic variability of the appearance of different classes and the lack of a standard data infrastructure by medical professionals. One of the major deterrents in automated Diabetic Retinopathy (DR) detection is the identification of the essential features in the fundus image. Techniques like Gaussian Blur and auto-cropping has been used for feature extraction and noise removal. Through this paper, we aim to classify various fundus images of the eye into various classes of diabetic Retinopathy and automate the screening process. 04 30 2020 1194 1198 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2790.049620 https://www.ijitee.org/portfolio-item/E2790039520/ Assistant Professor, Department of Electronics and communication Engineering, Sri Ramakrishna Institute of Technology, Coimbatore. Benson mansingh* Indhu UG Scholar, Department of Electronics and Communication Engineering, Sri Ramakrishna Institute of Technology, Coimbatore. Benisha UG Scholar, Department of Electronics and Communication Engineering, Sri Ramakrishna Institute of Technology, Coimbatore. Bharathi UG Scholar, Department of Electronics and Communication Engineering, Sri Ramakrishna Institute of Technology, Coimbatore. The major aim of any diagnosis method is early detection and prevention of disorders. This can be possible by several advanced methods and one such health disorder cure is using Iridology. This work can help a health practitioner to study the iris of the eye and to identify the presence of abnormalities say heart disorders, Lung disorders in a human body. This is achieved by developing image processing algorithms that includes pre processing, image segmentation, feature extraction and classification using hybrid algorithms. This work can be used as preliminary diagnosing tool to identify the abnormalities present in the body. Images are acquired using 12MP USB iroscope iris analyser model iris camera to test the developed algorithm and validated from the real time data that will be collected from health centres and hospitals. 04 30 2020 108 112 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2797.049620 https://www.ijitee.org/portfolio-item/E2797039520/ Civil Engineering Department. N.M.A.M.I.T, Nitte Karkala, Udupi, India. Dr.Bhojaraja B.E* Anaswara Das S R Civil Engineering Department Government College of Engineering Kannur, India Dr. Amba Shetty Applied Mechanics and Hydraulics Department N.I.T.K-Surathkal Mangaluru, India . Arecanut is a plantation crop sustains for decades and its crop water demand varies with the age. For scheduling and management of irrigation water, crop water requirement information is important. To calculate the crop water requirement, estimation of evapotranspiration is crucial. The term Evapotranspiration (ET) refers to transport of water molecules into the atmosphere from soil (soil evaporation) and vegetation (transpiration) surfaces. It is a most important component of hydrological cycle and also the most difficult factor to quantify. Crop water need is the amount of water required for balancing loss due to evapotranspiration. There are different methods proposed by researchers for the estimation of evapotranspiration. The conventional methods of evapotranspiration estimation from ground data are tedious. The advancement in remote sensing data provides estimation of evapotranspiration in a global scale. The invention of thermal remote sensing has benefitted greatly since it reduces the field data requirement for estimation of ET. It also helps to understand spatial distribution of landmass and different estimates also in estimation of evapotranspiration over a larger extent timely and periodically. In this study to estimate Arecanut crop evapotranspiration Hargreaves Samani, Penman Monteith and Priestly Taylor methods were used and compared. Arecanut crop evapotranspiration rate estimated form Landsat 8 and MODIS data are showed similar range of values between 3 to 4.45 mm/day. The study area covers an area of 835.3 hectares of Arecanut crop and the gross crop water need is found to be 23059 m3. 04 30 2020 1814 1817 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2809.049620 https://www.ijitee.org/portfolio-item/E2809039520/ Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbarore, India. V.P. Srinivasan* S. Balamurugan Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbarore, India. Abhilash Arulvalan Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbarore, India. B. Devaraj Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbarore, India. P. Mowyanivesh Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbarore, India. S. Mukesh Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbarore, India C. Raghunandan Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbarore, India. CMT bonding process were done on the 2 plates of 5 mm thick AA6061-T6 alloy by means of ER 4043 wire-electrode of Φ1.2 mm as the filler metal. This study concentrates the impact of a PWHT on the micro-structural and mechanical characteristics of an AA6061-T6 alloy specimen bonded by means of GMAW and by CMT. The welded samples here separated as as-welded and PWHT samples. The ASTM standard E8M-04 was used for cutting all samples in order to get the tensile strength and to measure the bonded joint elongation. The hardness across the bonded joints was measured by using Vickers micro-hardness testing setup. Scanned electron microscopy (SEM) is employed to analyse failure pattern of tensile test performed specimens. 04 30 2020 577 581 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2811.049620 https://www.ijitee.org/portfolio-item/E2811039520/ Research Scholar, Jagannath University, Jaipur. Shreta Sharma* Santosh Pandey Scientist 'D', Government of India, Ministry of Electronics & Information Technology New Delhi Requirements Analysis (RA) remains one of the most central processes in requirements engineering. It is a process of evaluating and discovering possible structures to create a contracted set of broad and reliable requirements. The major aim of requirements analysis is to produce a requirements specification document with great quality. The analysis of study exposes that experts have arranged major supports by developing various methods/tools/framework/techniques of requirement analysis process. Though, one of the major problems faced by developers is poor communication and frequently changes in requirements. These issues may lead to incompetent outcome and termination of the system development. The previous investigation exposes that Artificial Intelligence (AI) methods may support in this by restricting alterations in requirements and to propose effective communication between designers and users. The purpose of this work is to categorize the challenges in every stage of the requirements analysis and incorporation of AI techniques to solve these known challenges. Moreover, the research also determines the association between such challenges and their potential AI answer/s through Venn-Diagram. Prior studies expose that more than one AI technique available for some of the challenges, and some of the challenges are still open for further research, no AI techniques has been reported yet. Keeping in observation the significance of the area, foremost analysis methods and their related issues have already been recognized in one of our prior papers. This study is an addition of our prior effort and here, an attempt is made to incorporate and describe AI techniques in various requirements analysis techniques. 04 30 2020 582 589 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2826.049620 https://www.ijitee.org/portfolio-item/E2826039520/ Research Scholar, Department of Computer Engineering, Suresh Gyan Vihar University, Jaipur, India. Mr. Bijender Bansal* Dr.Bright Keswani Professor, Supervisor, Department of Computer Applications, Suresh Gyan Vihar University, Jaipur, India. Dr. Pankaj Gupta Professor, Co-Supervisor, Department of CSE, Vaish College of Engineering, Rohtak, India Ms.Monika Goyal Assistant Professor, Department of Computer Science, Vaish Mahilla Maha Vidayala, Rohtak, India Dr. Deepak Goyal Profeesor, Department of CSE, Vaish College of Engineering, Rohtak, India. There are many researches in which the impact of black hole attacks at AODV networks is highlighted. In the research work, the impact of iBlack iHole iattack iover iAODV routing is calculated and random node selection technique is used. In addition, the simulation of black hole attacks’ impact on network performance is proposed in case of proposed model and traditional model. The selection of nodes is made randomly. The simulation of proposed selection based model is able to enhance the ratio of packet delivery. It is efficient to decrease the ratio of packet loss than traditional models. Comparative evaluation of the performance of existing and proposed model is made ion ithe ibase iof iPacket iDelivery iratio, iPacket iloss iratio, iPacket iDelivery iratio, iPacket iLoss iratio in case of 200 Node and 225 Node. This research paper also determined iAverage iEnd ito iEnd iDelivery iand iRouting iover head during comparative analysis. The proposed work can minimize the downfall in delivery ratio as the amount of malicious node increases. 04 30 2020 1110 1115 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2870.049620 https://www.ijitee.org/portfolio-item/E2870039520/ Department of Electrical & Electronics Engineering, Noida Institute of Engineering &Technology, Greater Noida, U.P. INDIA, Dr. Neel Kamal* Dr. Sujit Kumar Department of Electrical & Electronics Engineering, Noida Institute of Engineering &Technology, Greater Noida, U.P. INDIA, Dr. Pankaj Kumar Power system consulting Engineer, Mumbai, India Dr. Chandan Kumar Department of Mechanical Engineering , Noida Institute of Engineering &Technology, Greater Noida, U.P. INDIA, Vikash Tiwari Department of Electrical & Electronics Engineering, Noida Institute of Engineering &Technology, Greater Noida, U.P. INDIA Power system is the assembly of electrical networks, generating stations and different load centers. Load demand on the power system varies with respect to time parameter. Therefore more and more power requirements occur due to the power consumption. This can be achieved either by increasing the power carrying capability or by the re-evaluation of the electrical networks. It is observed that re-evaluation of the power system network is costlier than that of increasing the power transfer capability. In this research work a review of the salient features of power flow with thyristor controlled series capacitors are elegantly discussed. PSCAD-4.0 / MATLAB Program are used to observe how active and reactive power flow varied with different variable parameters and set of data. For each set of data, output result is obtained. Load flow solution of a 6-bus network by using Newton-Raphson method for control of power flow with TCSC (thyristor controlled series capacitor), in which the original 6-bus network is modified to 7-bus network to accommodate one TCSC / two TCSC. The load flow solution is found for the modified 6-bus / 7-bus network. The result of load flow solution shows that active power flow is controlled by TCSC. The salient feature of the research work is the fact that MATLAB and PSCAD-4.0 has been thoroughly used to investigate the different aspects of power flow control. 04 30 2020 590 595 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2885.049620 https://www.ijitee.org/portfolio-item/E2885039520/ Computer Science Engg department, KBN college of Engg, Kalaburagi affiliated to Visvesvaraya Technological University, Belagavii, India Tabassum Nahid Sultana* Dr. Asma Praveen Computer Science Engg department, KBN college of Engg, Kalaburagi affiliated to Visvesvaraya Technological University, Belagavi , India Target edge detection is one of the crucial and indispensable process used to detect the size of the fracture by using multi resolution discrete wavelet transforms in image processing field. It is a foremost step of image enhancement and is prior to segmentation procedure.Computerised imaging techniques such as X-ray, CT, Ultrasound and MRI are used by the radiologist helps in diagnosing diseases. Digital x-rays are economically agile helps in detecting microscopic bone fracture which are not detectable by human eye. The paper involve the use of daubechies wavelet transform (db1) undergoes multi resolution three level wavelet decomposition that isolate into higher and lower frequencies readily, results in finding edges in horizontal and vertical function which is the necessary aspect of edge detection for x ray images.Matlab code have been implemented for testing the boundaries of the image objects in authentic digital x ray images as well as for the standard dataset images. Computer-aided diagnosis system (CADD) is becoming a popular research area in diagnosing x-ray bone fractures,bone cancerdiseases. 04 30 2020 596 599 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2886.049620 https://www.ijitee.org/portfolio-item/E2886039520/ Department of Mechanical Engineering, Suresh Gyan Vihar University Jaipur, India. Anil Kumar* Neeraj Kumar Department of Mechanical Engineering, Suresh Gyan Vihar University Jaipur, India. M. S. Niranjan Department of Mechanical Engineering, D.T.U. Delhi, India. Magnetorheological fluids (MRF) are mixture of ferromagnetic micron sized particles in silicon or hydraulic oil carrier fluid. By application of external varying strength magnetic field various physical properties of these fluids can be controlled and they becomes semi-solids depending on magnetic field strength application.MR fluids fulfill the desired performance requirements i.e. on application of magnetic field exhibits high shear and low initial viscosity, quick response , low hysteresis, low power consumption and temperature stability These special properties of MR fluids made them suitable for many type of industrial applications including machining. Hence fluids can be very effectively used in magnetorheological finishing process (MRF) which has unique feature of finishing truncated and complicated geometrical shapes and surfaces and capable of producing surface in nanometers. As surface finish is an important parameter in precision fits, product quality, and high-strength applications. The three dimensional surfaces finishing works such as different angled deep pockets or projections. Many industries have this type of i.e. mould & dies manufacturing, automobiles manufacturing, aerospace industry, semiconductor machining and optics machining etc. Such application leads to enhanced demand of nano-finishing of 3D surfaces without damaging surfaces/sub-surfaces. As due to change in properties because of change in composition the MR effect is also influenced. Therefore the composition of MR fluids is very important to achieve desired MR effect. The composition of magnetorheological fluids can be evaluated with the help of characterizations and desire MR fluid can be synthesized according to requirements of the process. This paper will explain in detail how we can synthesize and characterize the Magnetorheological fluids using state of the art equipments and can optimize their performance. 04 30 2020 272 277 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2887.049620 https://www.ijitee.org/portfolio-item/E2887039520/ Professor, Department of ISE, Basaweshwar Engineering College, Bagalkot, Karnataka, India. Sadhana P. Bangarashetti* Pavan N. Kunchur Assistant Professor, Department of CSE, KLS, GIT, Belagavi, Karnataka, India. In image process, as an example, once combining the data content of image, we tend to have an interest within the relationship between 2 or a lot of pictures. Registration may be an elementary task in image process wont to match 2 or a lot of photos taken, as an example. CAN are investigated as a general-purpose answer for image version problems. Such systems were not just taking in the mapping from input picture to yield picture, yet additionally, gain proficiency with a misfortune capacity to mentor this mapping. Such things make it possible to use a similar kind of generic approach to traditional types of problems which requires very less or different loss formulations. We also show that the approach used here is very effective for image synthesizing from the label maps, and also we reconstruct the objects from edge maps, and colorizing pictures, among different errands. To be sure. Further showing its wide materialness and simple selection without the requirement for parameter tweaking. As a network, it's never again a hand engineer for our mapping capacities and with the assistance of this we can accomplish powerful result without hand-designing our misfortune work. 04 30 2020 278 281 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2901.049620 https://www.ijitee.org/portfolio-item/E2901039520/ M.Tech Student Department of ECE,MVGR College of Engineering ,Vizianagaram. Ch. Hemalakshmi* L. Keerthi M.Tech student Department of ECE,MVGR College of Engineering, Vizianagaram. Shaik Mastan Vali Professor, Departement of ECE,MVGR College of Engineering, Vizianagaram. The high-throughput programmable Fast Fourier transform processor supports the usage of 2-stream 1024/2048/4096-point Fast Fourier Transforms and 1-to 4-stream 64/128-point Fast Fourier Transform for 4G,wireless local networks and for 5G.The proposed architecture which was designed is a well-intentionedfour-bank single-port SRAM which is being working in four-word data width, the design which is proposed gives us sixteen memory pathways . where the data is accessed up to this extent where it can be used in upcoming 5G. The radix-16 butterfly process element comprises of 2 cascaded parallel, pipelined radix-4 butterfly units which is specified. The projected memory-addressing methodology will effectively wear down single-port, merged-bank memory with high-radix process components. Comparing with typical memory based Fast Fourier Transform styles, the derived design has higher performance in expressions of area and power consumption. The architecture which is projected occupies the tiniest area of around1.21mm2.The processor supports 1966MS/s 4096-point FFT and frequency of 1GHz.The Electronic design automation synthesis results show the power consumption is 32.16mW.The SQNR performance analysis is 42.14 dB. 04 30 2020 1116 1122 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2902.049620 https://www.ijitee.org/portfolio-item/E2902039520/ Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, India. Dr.P.Tamije Selvy* M. Sujith Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, India. V. Sanjay Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, India. G. Sreeram Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, India. M. Anitha Full-Time Ph.D Scholar, in Sri Krishna College of Technology in the Department of Computer Science and Engineering. Face recognition plays a vital role in security purpose. In recent years, the researchers have focused on the pose illumination, face recognition, etc,. The traditional methods of face recognition focus on Open CV’s fisher faces which results in analyzing the face expressions and attributes. Deep learning method used in this proposed system is Convolutional Neural Network (CNN). Proposed work includes the following modules: [1] Face Detection [2] Gender Recognition [3] Age Prediction. Thus the results obtained from this work prove that real time age and gender detection using CNN provides better accuracy results compared to other existing approaches. 04 30 2020 797 801 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2906.049620 https://www.ijitee.org/portfolio-item/E2906039520/ Department of Civil Engineering, Sri Krishna College of Technology, Coimbatore, India. A. Arun* Dr. V. Sreevidya Department of Civil Engineering, Sri Krishna College of Technology, Coimbatore, India. T.P.A. Aravind Department of Civil Engineering, Sri Krishna College of Technology, Coimbatore, India. Concrete is most frequently used composite material. Concrete is the combination of M-Sand, coarse aggregate and binding medium of concrete paste. Next to the water demand which is increased in concrete day by day, in this project we incorporate Activated carbon in Filler slabs. Filler slab is the sustainable concept which reduces unwanted concrete in the tension zone. The main perspective of this project is to study the characteristic behaviour of concrete with activated carbon. Also, to maximize the rate of Compressive strength of the concrete and to Filter air pollutants and to investigate the flexural behaviour of filler slab with activated carbon. Filler slab with Activated carbon in cement greatly increases the sustainability. Compression test and Flexural test were carried out by three different proportion of Activated carbon in cement from these mixes results are obtained. Further morphological arrangements are to be carried out. 04 30 2020 1 5 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2913.049620 https://www.ijitee.org/portfolio-item/E2913039520/ Department of Electronics & Telecommunication Engineering, MIT(E), Aurangabad (M. S), India. Mr. R. N. Patil* Dr. Pravin Sahebrao Patil Head & Professor, Department of Electronics and Telecommunication Engineering, SSVPS’s B.S. Deore College of Engineering, Dhule, (M.S.), India Now a day’s security is very major aspect in every industry and personal life too. Various techniques of biometric are available with extraction of different features. Human body consist of many parts but in which few are very unique. The unique features can help in advanced biometric system development, but in future technologies needs robust and reliable techniques based on multimodal biometric. Hence this paper explains about multimodal robust framework personal identification using facial identity. More number of samples needs more accuracy and fast processing therefore deep learning with optical character recognition may use for this. The proposed system includes raspberry pi with python libraries and advanced packages. After execution of this personal identification using advanced tools a unique method with effective and efficient results appears. This paper helps to find the work done in this area and proposed system with hardware configuration setup details. 04 30 2020 282 285 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2920.049620 https://www.ijitee.org/portfolio-item/E2920039520/ Pursuing M.Tech, Digital Electronics and Communication Engineering, G. Narayanamma Institute of Technology & Science, Hyderabad. Ramya Rani Kalvakota* Uma Volety Associate Professor, Department ECE, G.Narayanamma Institute of Technology & Science, Hyderabad. Security and Privacy are the major issues for transmission of medical data in a wireless medium. The proposed system used ConTourlet Transform 2 Level (CTT-2L) Steganography and encryption algorithms for transmission of medical data. The encryption algorithms used are Advanced Encryption Standard (AES) and Rivest-Shamir-Adleman (RSA) algorithms. First, the text data is encrypted by using AES and RSA Algorithms and the data which is encrypted is embedded in a cover image using CTT-2L. The cover image is any medical image which can be either colour or grayscale image. Five statistical parameters: Peak-Signal-to-Noise-Ratio (PSNR), Mean Absolute Error (MAE), Mean Square Error (MSE), Structural Similarity (SSIM), Correlation are measured for evaluating the performance of the proposed system. The PSNR is 71.3402 and 64.7453 in colour and grayscale images respectively. The MAE is 0.0019 and 0.0045 in colour and grayscale images respectively. The MSE is 0.0026 and 0.0142 in colour and grayscale images respectively. The SSIM is 0.9999 in both colour and grayscale images. The Correlation is 1.0000 in both colour and grayscale images. The proposed system hides the data with high capacity, imperceptibility and less distortion in the received stego image as compared with the conventional methods. 04 30 2020 113 117 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2928.049620 https://www.ijitee.org/portfolio-item/E2928039520/ assistant professor and head of department in Electrical & Electronics Engineering, University College of Engineering, Kothagudem. Korra Cheena* The Smart grid refers to a next-generation power grid which is a two-way information flow where electricity and information switch over between the service and its customer’s. The power system becomes smart by applying intelligence by way of multidirectional flow of electricity and information to create an extensive distribution network through smart grid technology. It made smarter power system by developing a networking communication, controls, automation, new technologies and tools working together to make the great efficient and more secure environment. For an effective integration and quality of the service to the consumer's smart grid technology is needed due to working with the electrical distribution system and quickly to respond digitally for rapidly changing electric demand. At this point, an electricity disruption such as a blackout can affect a series of failures that can affect several areas such as banking, traffic, and security. To address the power restoration, smart grid makes use of self-healing strategy which will allow automatic switching when equipment failure or outages occur. There have been numerous studies in the last decade or so in to even out the fundamental and mathematical challenges of making a smart self-healing grid a reality. In this paper, we explore the Self-healing approach for Smart grid Communications likewise discusses the service restoration methods in Distribution Networks of Smart Grid Environment. 04 30 2020 1123 1128 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2938.049620 https://www.ijitee.org/portfolio-item/E2938039520/ CSE Department, Mahatma Gandhi Institute of Technology, Hyderabad, India, Gousiya Begum* A Sai Manisha CSE Department, Mahatma Gandhi Institute of Technology, Hyderabad, India Alzheimer's disease is the most popular and persuading dementia that affects our memory power, reasoning and deportment. Symptoms rise up slowly and worsen with time, becoming an obstacle in doing our routine tasks. Alzheimer is not conventional wedge of aging. The substantial and known risk factor is up surging age. The prevalence of AD is depicted to be around 5% after an age of 65 years and took a leap of 30% for people of 85 years old in developed countries [1]. In this project we proposed a detection and classification technique using Random Forest(RF) and Support Vector Machine(SVM) algorithms on the oasis longitudinal data set and compare their respective accuracies to come to a conclusion that which algorithm best suits for this detection and classification. Paper Setup must be in A4 size with Margin: Top 0.7”, 04 30 2020 6 9 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2942.049620 https://www.ijitee.org/portfolio-item/E2942039520/ Scholar, JNTU Ananthapuramu G. Lalitha* Dr.C. Sashidhar Professor JNTU Ananthapuramu Dr.C. Ramachandrudu Professor Chiranjeevi Reddy Institute of Engineering &Technology JNTUA Durability of concrete is as the ability to resist weathering action, chemical attack, and abrasion while giving the desired engineering properties. Concrete require different degrees of durability depending on the exposure environmental conditions. The retrogression of concrete structures is due to effect of attrition of reinforcing bars which is occurred due to the chloride incursion.so it is necessary to study the concrete durability nature before making its usage in present construction. The present research is focused on studying the effect of using sustainable material in concrete preparation. To know the effective usage of crushed waste glass in concrete and significance in Durability properties for different replacements was studied .The present research work was done using materials like cement, Fine aggregate, coarse aggregate, waste crushed glass, super plasticizer in order to know that at which combination of mix there will be optimum effect on properties of concrete. In this research Waste crushed glass was used as fractions of 10%,20%,30% and 40% by weight of crushed glass used. The durability tests to test resistance against acid environment chloride penetration and abrasion resistance tests are performed. The optimum value of acid resistance was observed when fine aggregate was replaced with 30% of fine aggregate with crushed waste glass, less abrasion loss at 30% replacement and chloride penetration also effective at 30% replacement. 04 30 2020 1818 1822 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2966.049620 https://www.ijitee.org/portfolio-item/E2966039520/ Research Scholar pursuing Ph.D., in the PG and Research Department of Computer Science, Rajah Serfoji Government College, Thanjavur, Affiliated to Bharathidasan University, Trichirappalli, Tamil Nadu, India. D.Maghesh Kumar* Dr. K. Mohan Kumar Heading the PG and Research Department of Computer Science, Rajah Serfoji Government College, Thanjavur, Affiliated to Bharathidasan University, Trichirappalli, Tamil Nadu, India. Agriculture is India’s prime occupation. In Indian economy agriculture plays a major role by means of providing more employment opportunities for the people. In order to provide food to the huge population of India, agriculture sector needs to maximize its crop productivity. This research work presents an approach which uses different Machine learning (ML) techniques by considering the various parameters of cultivated crop to predict the best yield. Further in this Multiple Linear Regression (MLR) technique and artificial neural networks (ANN) are used to make a brief analysis for the prediction crop yield. With the above idea a new model was created, and from this numerical results were obtained. The accuracy and efficiency of the method has been explored and results from the artificial neural network and regression methods were obtained and compared. 04 30 2020 1320 1324 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E3004.049620 https://www.ijitee.org/portfolio-item/E3004039520/ PhD scholar at UPES, Dehradoon. Pritam S. Salankar* Vinay Avasthi Associate Professor at School of Computer Science UPES Dehardun. Ashutosh Pasricha Ph.D from IIT, Delhi With the widespread popularity of the Internet of Things (IoT), different sectors-based applications are increasingly developed. One of the most popular application layer protocols is the Constrained Application Protocol (CoAP), and the necessity of ensuring data security in this layer is crucial. Moreover, attackers target the vulnerabilities of IoT to gain access to the system, which leads to a security threat and violate privacy. Typically, user authentication and data encryption are applied for securing data communication over a public channel between two or more participants. However, most of the existing solutions use cryptography for achieving security, with the exception of high computation cost. Hence, these solutions fail to satisfy the resource-constrained characteristics of IoT devices. Therefore, a lightweight security mechanism is required for achieving both secure transmission and better performance. This paper proposes a Lightweight Authentication with Two-way Encryption for Secure Transmission in CoAP Protocol (LATEST) that provides a secure transmission between the server and IoT devices. This mutual authentication mechanism uses ROT 18 Cipher with XoR operation and 128-bit AES based encryption for securing the data transmission. The ROT18 Cipher is a monoalphabetic substitution cipher, which is a combination of ROT13 and ROT5. The proposed scheme employs symmetric encryption in both client and server for ensuring secure authentication and mutually confirm each other identity. In addition, the proposed LATEST scheme ensures confidentiality and integrity by being resistant to replay attacks, impersonation attacks, and modification attacks. The experimental evaluation demonstrates that the proposed LATEST scheme is lightweight and provides better security compared to the existing scheme. 04 30 2020 404 412 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E3017.049620 https://www.ijitee.org/portfolio-item/E3017039520/ Department of CS & Eng. Bhabha Institute of Technology Kanpur Dehat, India Ms Upma Yadav* Mr Ashok Kumar Department of CS Banasthali Vidyapith Rajasthan, India Miss. Anamika Tiwari Department of CS & Eng. Bhabha Institute of Technology Kanpur Dehat, India Dr Saurabh Mukherjee Department of CS Banasthali Vidyapith , Rajasthan, India. Dermatology is a medical field that treats skin health and diseases. These skin diseases are perilous and often transmittable but can be cured or reversed with higher degree if detected at an early stage. Early detection and treatment can correct most skin disorders. Diagnosis of these diseases requires a sophisticated of proficiency due to the variety of their illustration aspects. As manual conclusion are often skewed and hardly reproducible, to achieve a more intent and undependable diagnosis, a computer aided diagnostic system should be considered. This work is to provide a comparative view of advancements the works as a robust literature of with techniques, methodology, experimented results and dataset done in medical science using medical images to predict diseases with early detection and higher accuracy . 04 30 2020 513 516 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E3019.049620 https://www.ijitee.org/portfolio-item/E3019039520/ Associate Professor, Vaish College of Engineering, Rohtak, India Dr. Umesh Gupta* Dr. Ankit Bansal Associate Professor, Vaish College of Engineering, Rohtak, India Sandeep Singh Assistant Professor, Vaish College of Engineering, Rohtak, India Maintenance of machines is crucial measures in order to have stable and improved work flow. Any kind of failure might result in complete failure of the machine. Hence it becomes essential to identify the vulnerable failures that might occur in the components of any machine. The present work is carried out in order to improve the scheduling in maintenance of a lathe machine. Different components of the machine are studied in this research. “Failure mean effective analysis (FMEA)” method is applied to identify the failures associated with the components of the machine. Risk priority number is calculated based on which the components are provided with ranks. The rank signifies the flow of maintenance for all the components. The results reveal that the flexure bearing needs the least maintenance as it has the highest rank. 04 30 2020 895 899 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E3025.049620 https://www.ijitee.org/portfolio-item/E3025039520/ Assistant Professor, Department of Computer Science and Engineering, Jaipur National University, Jaipur, India. Vikas Verma* Apoorv Varshney Student Department of Computer Science and Engineering, Jaipur National University, Jaipur, India. Ashish Mathur Student Department of Computer Science and Engineering, Jaipur National University, Jaipur, India. Santanu Banerjee Student Department of Computer Science and Engineering, Jaipur National University, Jaipur, India. Poorneshwar Anand Student Department of Computer Science and Engineering, Jaipur National University, Jaipur, India. The complexity in invigilator duty allocation in examination schedule has increased in last few years as number of examinations was increased. This complexity had some ambiguities as some invigilators got maximum number of duties while some got minimum number of duties. This paper proposed an optimize algorithm to allocate duties to invigilators. This algorithm provides optimized way to allocate duties of invigilators to reduce ambiguities such as unequal amount of duty allocation of invigilators. In this paper, an algorithm is proposed to allocate any numbers of invigilators in different examination halls in such a way that each invigilator will get equal amount of duties. This algorithm has written and implemented in java language. 04 30 2020 736 739 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E3028.049620 https://www.ijitee.org/portfolio-item/E3028039520/ Research Scholar, MJP Rohilkhand University, Bareilly, India Shailesh Saxena* Mohammad Zubair Khan Department of CS, College of Computer Science and Engg., Taibah University, Medina, KSA Ravendra Singh Department of CS and IT, MJP Rohilkhand University, Bareilly, India This publication discusses high-performance energy-aware cloud (HPEAC) computing state-of-the-art strategies to acknowledgement and categorization of systems and devices, optimization methodologies, and energy / power control techniques in particular. System types involve single machines, clusters, networks, and clouds, while CPUs, GPUs, multiprocessors, and hybrid systems are known to be device types. Objective of Optimization incorporates multiple calculation blends, such as “execution time”, “consumption of energy”& “temperature” with the consideration of limiting power/energy consumption. Control measures usually involve scheduling policies, frequency based policies (DVFS, DFS, DCT), programmatic API’s for limiting the power consumptions (such as” Intel- RAPL”,” NVIDIA- NVML”), standardization of applications, and hybrid techniques. We address energy / power management software and APIs as well as methods and conditions in modern HPEACC systems for forecasting and/or simulating power/energy consumption. Eventually, programming examples are discussed, i.e. programs & tests used in specific works. Based on our study, we point out some areas and there significant issues related to tools & technologies, important for handling energy aware computations in HPEAC computing environment. 04 30 2020 667 683 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E3029.049620 https://www.ijitee.org/portfolio-item/E3029039520/ Assistant Professor (CSE), GITAM (Deemed to be University), Visakhapatnam, India. Komal Kashyap* K. Subhadra Assistant Professor (CSE), GITAM(Deemed to be University), Visakhapatnam, India. Peshimam Md Nadeem UG student, department of CSE, GITAM (Deemed to be University), Visakhapatnam, India. B. Dandy Sabarish UG student, department of CSE, GITAM (Deemed to be University), Visakhapatnam, India. Machine learning is the one of the leading studies in Artificial Intelligence to extend research irresistibly or give the edification to a particular task to implement a scenario. The role of machine learning is to deduce the format of the data, make it feasible to design models that can be easily understood and apply them. This application could also be done in the field of agriculture in detecting the crop diseases. Plant diseases caused by microorganisms lead to serious reaping loss all-around. The most frequently effected diseases to plants are bacterial Canker, Blank knot, Brown Rot, Anthracnose, Apple Scarb etc. The prototype framework in this research model is for predicting and identifying the plant disease and provides remedies that can be used as protective measures against the disease. The implementation of the model described in this paper incorporates dense neural networks (DNN) Algorithm which is the sub part of Convolutional Neural Network (ConvNet/CNN). To build the model we have used TensorFlow DNN models. 04 30 2020 2022 2027 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E3030.049620 https://www.ijitee.org/portfolio-item/E3030039520/ Department of Electronics Engineering, Pravara Rural Engineering Colege, Loni, India Shaikh Shakil A.* Dr. A. K. Kureshi Director, Maulana Mukhtar Ahmad Nadvi Technical Campus, Malegaon, India The proposed system is used for vehicle detection and tracking from the high-resolution video. It detects the object (vehicles) and recognizes the object comparing its features with the features of the objects stored in the database. If the features match, then object is tracked. There are two steps of implementation, online and offline process. In offline process the data in the form of images are given to feature extractor and then after to the trained YOLO v3 model and weight files is generated form the pre-trained YOLO v3 model. In online phase, real-time video is applied to feature extractor to extract the features and then applied to the pre-trained YOLO v3 model. The other reference to YOLO v3 model pre-trained is the output of weight file. The YOLO v3 model process on the video frame and weight file extracted features, the model output is classified image. In YOLO v3 Darknet-53 is used along with Keras, some libraries with OpenCV, Tensor Flow, and Numpy. The proposed system is implemented on PC Intel Pentium G500, 8GB and operating system Windows 7 is used for processing our system. The system is tested on PASCAL VOC dataset and the results obtained are accuracy 80%, precision 80%, recall 100%, F1-Score 88%, mAP 76.7%, and 0.018%. The system is implemented using python 3.6.0 software and also tested using real-time video having 1280x720 and 1920x1080 resolutions. The execution time for one frame of video having resolution of 1280x720 (HD) and 1920x1080 (FHD) and 1280x720 (HD) are 1.840 second and 4.414808 seconds respectively with accuracy is 80%. 04 30 2020 118 125 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E3038.049620 https://www.ijitee.org/portfolio-item/E3038039520/ Department of Computer Systems and Technologies Odessa I. I. Mechnikov National University Odessa, Ukraine Yurii Gunchenko* Serhii Lienkov Chief Researcher head of Research Center Military Institute of Taras Shevchenko National University of Kyiv Kyiv, Ukraine Yurii Husak Research Center, Institute of the Armed Forces of Ukraine of Kyiv, Kyiv, Sergey Shvorov Department of Automation and Robotic Systems National University of Life and Environmental Sciences of Ukraine Kyiv, Ukraine Dmytro. Zaitsev Faculty of Postgraduate Education, Military Institute of Kyiv National Taras Shevchenko University, Kyiv, Ukraine. The article proposes an analytical model of the functioning of the data transmission system, taking into account the influence of short-term interruptions in messages and the recovery of information distorted by cyber-attacks. The model uses the Laplace-Stieltjes transform and the Lagrange multiplier method. This helps determine the performance of switching nodes, the throughput of communication channels and their total cost in a communication system. 04 30 2020 2248 2252 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E3050.049620 https://www.ijitee.org/portfolio-item/E3050039520/ M.Tech, RIMT University, Punjab, India. Haider Feroze Rangrez* Dr. Sandeep Singla HOD, Department of Civil Engineering, RIMT University, Punjab, India. Er. Mudasir Hussain Dar MD, M-Square Architects, Designers & Consulting Engineers Handwara J&K, India. Concrete is a very versatile material. The rapid growth of the industry produces a large amount of by-products and waste, which can be used as SCM machines for ash, silica fume, slag, melting of granular soil, iron slag, etc. This waste is used to improve concrete structures with a new blending framework. Cement, sand and aggregate were mixed in a certain ratio. The proportion began to maximize the strength of the concrete mixture. In real time, the mixture could be easily nourished on construction projects, so it took a certain amount of time to achieve sustainable benefits. It is usually 28 days to get a full booster for the production of the mixture. Aggregates and silica fume were mixed at specific levels of 0%, 5%, 10%, 15% and 20%. This inclusion was tested and produced the strongest distribution at any given time. Analyzes of compressive strength, insulation tension, flexural strength, and shear strength tests were performed on concrete mixtures from M-0 to M-20. This paper examines the aforementioned tests on various compositions of the material. 04 30 2020 286 288 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E3060.049620 https://www.ijitee.org/portfolio-item/E3060039520/ Civil Engineering Department, Universitas Negeri Semarang, Semarang, Indonesia. Rini Kusumawardani* Muhammad Zain Rais department, Civil Engineering Department, Universitas Negeri Semarang, Semarang, Indonesia. Liquefaction is a phenomenon of loss of strength of the soil layers caused by earthquake vibration. Liquefaction causes the soil to be in a liquid – like state, especially on sandy soil. Analysis of liquefaction potential was performed by using the semi-empirical method by calculating the Safety Factor (SF) based on Standard penetration Test (SPT) and Cone Penetration test (CPT) data. After the SF value was obtained, then the Liquefaction Potential Index (LPI) was calculated to determine the level of potential liquefaction in the study area to further produce a liquefaction potential map based on the liquefaction potential index. Based on the results of the calculation of the LPI, the level of liquefaction potential in the study area was very low when the earthquake magnitude is 5 Mw because the Liquefaction Potential Index (LPI) = 0. When the earthquake magnitude is 6 Mw, 7 Mw, 8 Mw, and 9 Mw, most of the investigation area has low potential level and there are some points that a high potential level. 04 30 2020 1611 1617 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E3063.049620 https://www.ijitee.org/portfolio-item/E3063039520/ Department of EEE, NIET, Greater Noida, India. Dr. Sujit Kumar* Dr. Neel Kamal Department of EEE, NIET, Greater Noida, India. Dr. Pankaj Kumar Power System Consulting Engineer, Mumbai, India. Mr. Aditya Gaur Department of EEE, NIET, Greater Noida, India. Mr. Vikash Tiwari Department of Electrical & Electronics Engineering, Noida Institute of Engineering &Technology, Greater Noida, India. Vitality is seen as a prime administrator in the time of wealth and a vital figure budgetary headway. Obliged fossil resources and natural issues associated with them have underscored the necessity for new reasonable vitality supply choices that uses sustainable power sources. Among open developments for essentialness age from solar dependent sources, the photovoltaic system might give a gigantic pledge to develop a progressively feasible imperativeness structure. This paper presents accuracy of detecting DC faults in a photovoltaic (PV) framework based on Levenberg - Marquardt (LM) neural network. The result showed that this model based on LM neural network is effectual to grip doubts and nonlinearities of DC side faults in PV module without using mathematical model. All probable faults in DC side of PV system are obtained over 100 kW plant. It is discovered that the proposed framework has demonstrated its integrity for the pragmatic applications. 04 30 2020 289 294 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E3125.049620 https://www.ijitee.org/portfolio-item/E3125039520/ Principal and Research Supervisor, PG and Research Department of Computer Science, Sadakathullah Appa College, Tirunelveli, Tamilnadu, India. Manonmaniam Sundaranar University, Tamilnadu, India M. Mohamed Sathik* R. Spurgen Ratheash Research Scholar, Sadakathullah Appa College, Tirunelveli, Tamilnadu, India. An optimality of an automatic character recognition for Tamil palm leaf manuscripts can be achieved only by an efficient segmentation of touching characters. In this article, the touching characters are segmented as a single character to achieve an optimum solution by the recognizer in Optical Character Recognition (OCR). The proposed method provides a novelty in touching character segmentation of Tamil palm leaf manuscripts. An initial process of separation of background image and foreground characters is applied on the palm leaf images by filtering and removing unwanted pieces of characters by noise removal methods. The thickening process overcomes the difficulty of small breakages in the characters. The aspect ratio of the character image can be used to categorize the character such as single or multi touching. Single touching is divided by yet another ways such as horizontal or vertical touching. Finally, the proposed algorithm for Horizontal and Vertical character segmentation named as HorVer method is applied on the horizontally and vertically touching characters to segment as independent character. Experimental result produces 91% of an accuracy on segmenting the touching characters in Tamil palm leaf manuscript images collected from various resources and Tamil Heritage Foundation (THF). A novelty method can be achieved in Tamil touching character segmentation by the proposed algorithm. 04 30 2020 1010 1015 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E3126.049620 https://www.ijitee.org/portfolio-item/E3126039520/ Computer Engineering Department, Marathwada Mitra Mandal’s college of Engineering, Pune, India. Reshma Ravindra Pawar* Geetha.R. Chillarge Computer Engineering department, Marathwada Mitra Mandal’s college of Engineering, Pune, India. The high-value property like Land, Home, related to real estate it is essential to have exact records that recognize the present proprietor and give evidence that he is surely the proprietor. Such a record can be utilized to protect the owner’s privileges, prevent sale fraud and to make sure that the ownership is correctly transferred to a new owner after sale. Thus it is essential to maintain correct and complete information and prevent illegal or unjustified, fraudulent changes. Many efforts have been taken already for providing data security to sensitive information. Blockchain is the technology that gives high security to the data. Blockchain technology can store an immutable history of transactional records, so no one can ever doubt the authenticity; records are permanently linked to the system so no one can ever interfere with a record of their own. This paper gives a comprehensive system on blockchain technology as it can not only be used in financial assets but anything which has some value. 04 30 2020 900 903 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E3133.049620 https://www.ijitee.org/portfolio-item/E3133039520/ Ph.D., Department of Cloud Computing, Bharathiyar University, Coimbatore, Tamil Nadu, India. Peter Jose P.* Dr. S. P. Victor Associate Professo, Computer Science, St. Xavier’s College Palayamkottai, Tamil Nadu, India. Cloud storage provides the enormous benefits to the cloud user. Especially the data accessibility feature that allows the user to access their data anywhere any time. But cloud computing maintain the distributed environment for storing the data which increase the risk of data leakages. A suitable solution to reduce the security risk is to deploy encryption mechanism. Ensuring security on cloud storage is still a challenging issue. In this paper a hybrid encryption techniques is proposed with three powerful algorithms such as Advanced Encryption Standard, Rivest–Shamir–Adleman (RSA) and MD5. The Encryption scheme executes between the fragmentation and replication process. The proposed hybrid framework strength the security of cloud data. If any successful attacks occurs the attackers does not able to discover the plaintext. The implementation was carried out with the help of Clousim framework. The performance of this study is compared with prior encryption techniques. 04 30 2020 295 301 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E3134.049620 https://www.ijitee.org/portfolio-item/E3134039520/ Department of Mechanical Engineering, Moradabad Institute of Technology, Moradabad, India. Mohd Talha Khan* Clients of automotive service industries are always anxious for after sales service. The objective of this research is to determine the association of variables of service quality and client contentment in bike industries. The information was gathered using convenience sampling technique from 150 users of bike industries in the form of questionnaire developed using SERVQUAL model. The important variables were extracted utilizing exploratory factor analysis. Hypothesis of the research was analyzed using multiple regression analysis and ANOVA. The results of the research revealed that the variables reliability, empathy, responsiveness, assurance, accessibility and convenience are found statistically significant to determine customer contentment whereas tangibility is not found significant to determine customer contentment and findings indicate that management have to focus on attributes like interest in solving clients’ problem, clients’ question to be answered timely by staff, trust in you to be inculcated by staff, individual consideration by staff and stopping region. 04 30 2020 302 307 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E3149.049620 https://www.ijitee.org/portfolio-item/E3149039520/ Department of Computer Science, Central University Of South Bihar, Gaya, India. Mritunjay kumar* Rajeev Kumar Department of Computer Science, Central University Of South Bihar, Gaya, India. Dr. Jainath Yadav Department of Computer Science, Central University Of South Bihar, Gaya, India. Watermarking is a technique to ensure the original information and to validate the digital content. Watermarking is required because of the rise in the utilization of the internet in one's everyday life. As the usage of digital content is developing quickly, there are numerous occurrences where information is uncertain. Watermarking is a procedure to conceal information for authorization reasons. Watermarking is the ideal approach to make sure about the digital content. Watermarking should be possible through different strategies. Least Significant Bit Watermarking (LSBW) strategy is one of them. Right now, pixel estimations of the image are changed over into binary. The data is covered in the bits of the pixel esteems. Watermarking consistently infers embedding of furtive signal that should be robust and imperceptible within the host data. In order to cater its robustness and imperceptibility, the energy of the watermark is accommodated to the energy of speech components. 04 30 2020 126 131 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E3201.049620 https://www.ijitee.org/portfolio-item/E3201039520/ Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, India. A. Jaya Mabel Rani* Dr. A. Pravin Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, India. In today trendy world hybrid based optimized data clustering is unique and imperative clustering tool in the area of data mining, which is dynamic research of actual creation problems. The oldest and furthermost commonly used popular clustering technique is the K-means(KM) algorithm, which is very complex and for the initialization of the cluster centroid and it will easily go for premature converge. This initialization problem of K-means can be evaded by built in boost function of K-Harmonic Means, which is centroid based clustering algorithm and also unresponsive for collection of initial partition clustering , but it can easily go for pre-matured conjunction in local optima. To avoid this convergence problem, this proposed algorithm uses Boosting K-harmonic means(KHM) algorithm with BBO to produce more precise, robust, better clustering solution in few number of iterations, evade conning in local optima and simply convergence to relate with Harmonic Means, BBO algorithms. Biogeography based algorithm works with the concept of emigration and immigration of inhabitants from one location to another location, Which has high computation cost. For avoiding this high computation cost in this hybrid optimization technique Biogeography-Based Optimization (BBO) is integrated with K-Harmonic means algorithm to produce optimum and effective clustering solution with faster convergence. BBO is universal optimization methods to solve utmost of the optimization problem, which is an production based generation of evolutionary algorithm (EA)that augments a function by stochastically and repeatedly improving the clustering solution of quality, or fitness function. The experimental results of this paper shown as the projected method is very resourceful and faster to afford better clustering solution in less number of repetitions for medical data. 04 30 2020 517 522 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E3207.049620 https://www.ijitee.org/portfolio-item/E3207039520/ Subhransu Sekhar Bal , M.tech in Industrial Safety Engineering,Mechanical Department , Bhilai Institute Of Technology,(Affilated to CSVTU C.G,Approved by AICTE,NewDelhi ) City,Raipur Country.India Subhransu Sekhar Bal* Jaykant Gupta Asst. Professor ,Mechanical Department , Bhilai Institute Of Technology,(Affilated to CSVTU C.G,Approved by AICTE,NewDelhi ), Raipur, India. Risk Analysis is being done to identify and manage the major / potential problems in the industry . Risk Analysis some times may be more complicated .For doing the risk assessment , risk analysis has to be done . Risk assessment is the technique to analyse the actual level of risk and its consequences associated with a particular activity. In this method one activity is to be taken and that to be discussed with competent risk assessment team and historical data of same is to be analysed to find out the actual consequences of a particular hazardous activity. All the findings should be recorded separately for different activities. Risk Analysis & Risk assessment of a particular unit of the aluminium refinery will be taken in to consideration for the implementation of this technique . By using this technique many hazards can be controlled and the risk of accidents can be reduced in the industries by the proper implementation of Risk Analysis and risk theories. It will be helpful for the Safety professionals to identify the hazards and risks associated with those hazards and successful elimination of the hazard’s or the reduction of the risks by proper implementation of Risk Analysis and Risk Theories . 04 30 2020 600 603 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E3210.049620 https://www.ijitee.org/portfolio-item/E3210039520/ Assistant Professor in the Department of Computer Science at Dharumapuram Gnanambigai Government Arts College for Women, Mayiladuthurai. G. Mageswary* Dr. M. Karthikeyan Assistant Professor in the Division of Computer & Information Science, Faculty of Science, Annamalai University. Intrusion Detection is the practice of recognizing items or events that do not follow an expected behavior or do not coordinate with other normal items in the dataset. Network traffic is increasing identifiable event to growing use of the web services and smart devices. The NSL-KDD is widely utilized dataset in the analysis of Intrusion Detection over computer networks. The dataset contains high dimensional data and also the imbalanced class. Due to this kind of dataset the imbalanced classification problem arrives. To overcome the deficit of data instances in one particular class, create extra data samples on that minority class. Detection of network anomalies from high dimensional dataset is critical and taking too much of time to process, so it is carry out using bio inspired feature selection technique. In the proposed system, the synthetic minority over-sampling Technique is used, which is one kind of effective method to rectify the class imbalance problem. Then the bio-inspired based features selecting process is carried out using Modified FireFly Algorithm (MFFA) and the resultant optimized dataset is taken for further process. After the features selection, the obtained dataset is fed into tree based J48 algorithm for build the Intrusion Detection System and detect the normal and anomalies in the network. Then, the ensemble bagged J48 classification is performed to improve the prediction accuracy. 04 30 2020 604 610 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E3215.049620 https://www.ijitee.org/portfolio-item/E3215039520/ Assistant Professor, Sri Krishna College Of Technology, Coimbatore, India. Ms. N. R. P. Nivetha* Ms. C. P. Moulya Department of CSE, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India. Ms. A. Rumana Parveen Department of CSE, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India. Ms. R. Narmatha Shree Department of CSE, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India. Mr. S. Ragupathy Department of CSE, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India. Cells in the human circulatory system and identifying the types and its functionalities cannot be done through naked eye. This asks for greater accurate methods of visualizing it and hence is vital in understanding blood disease causes, symptoms and the solution for them. But this field lacked clearance for the imaging system. Image Recognition was innovated using Deep Learning Technique.Human body cells assume an astounding job in the human resistant framework. To know more about blood-related infections and its effects, pathologists need to think about the attributes of cells. To diagnose a blood related disease, we need to identify and characterize blood samples of patients. In the medical field, automation for detecting and classifying blood cells and its subtypes have gained more importance nowadays. Recognition of an object is a basic piece for the vision of a computer that distinguishes an article in the given picture regardless of foundations, impediment, lighting or the edge of the view. Problems that are too difficult to solve can be handled using architectures that run deep using algorithms that dive deeper into the features extracted from the input and this can be possible using Deep Learning. 04 30 2020 308 313 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3067.049620 https://www.ijitee.org/portfolio-item/F3067049620/ SRM Institute of Science and Technology, Modinagar. Ompal Singh* Kapil Kumar Bansal SRM Institute of Science and Technology, Modinagar Satish Kumar SRM Institute of Science and Technology, Modinagar Sohan Tyagi SRM Institute of Science and Technology, Modinagar Rudraman Department of Applied Science , FET GKV Haridwar The paper represents a batch appearance Geo/G/1 queuing structure with Geometric distribution numerous working arrival model is analysis. The organization distribution is inferred by utilizing the Markov chain process, different execution measures including expected organization size are determined. The distribution of the system states observed that such specific points is in reality indistinguishable with the distribution of the system states noticed at an capricious point on the continuous time domain. This is because an capricious point on the continuous time space falls somewhere in the halfway of a slot with probability 1. The organization state noticed at such a point is equivalent to that noticed immediately after the preceding slot boundary. 04 30 2020 2028 2031 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E3068.049620 https://www.ijitee.org/portfolio-item/F3068049620/ CSE Department, GITAM School of Technology, Bangalore, India. Deepak D M* Kavyashree G M CSE Department, Bangalore, India.. Asha G CSE Department, GITAM School of Technology, Bangalore, India. Venugopal D CSE Department, GITAM School of Technology, Bangalore, India. Rekha K B CSE Department, GITAM School of Technology, Bangalore, India. Dangerous development of the Internet has introduced diverse beneficial matters: digital enterprise, fundamental get admission to tremendous shops of reference fabric, community organized figuring, email, and new streets for advancing and information scattering, to provide some fashions. Moreover with maximum imaginative advances, there may be also a blurred aspect: crook builders. An moral software program engineer is a PC and framework ace who ambushes a safety structure to support its proprietors, searching for vulnerabilities that a threatening developer could abuse. Governments, associations, and private occupants round the world are irritating to be a some segment of this indignant, anyway they're on side about the likelihood that that some software engineer will destroy into their Web server and override their logo with sex diversion, read their email, take their charge card variety from an on line shopping internet site, or installation programming in an effort to stealthily transmit their affiliation's special bits of information to the open Internet. There are numerous techniques used to hack the records. This paper researches the ethics at the back of systems of appropriate hacking and whether there are issues that lie with this new area of labour. 04 30 2020 611 614 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3069.049620 https://www.ijitee.org/portfolio-item/F3069049620/ Department of “Organic substances and technology of macromolecular compounds” chemical-technological faculty Azerbaijan State Oil and Industry University, Baku, Azerbaijan Baku, AZADLIQ Avenue Shixaliyev Kerem* to achieve - study the sorption of silver, copper, nickel ions, the method of changing the volume of solutions of a constant concentration of metal ions is used. The amount of zeolite and constant concentrated solution is taken in such an amount that the molar (molecular) parts of the exchanged ions are in a wider range. Some concentrated solutions are taken in flasks in an amount of 20 40 60 80 120 ml and 0.5 g of zeolite are added to them, mixed and a sample is taken periodically for analysis. After 2-2.5 hours, equilibrium occurs. By measuring the density of equilibrium, the amount of sorption of ions is determined. 04 30 2020 132 134 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3070.049620 https://www.ijitee.org/portfolio-item/F3070049620/ Muqeeth Computer Science Department, College of Arts and Science, Prince Sattam Bin Abdul-Aziz University,Wadi Al Dawassir, Riyadh, K.S.A. Mr.Mujthaba Gulam* Dr.Manjur Kolhar Computer Science Department, College of Arts and Science, Prince Sattam Bin Abdul-Aziz University, Wadi Al Dawassir, Riyadh, K.S.A. Dr.Aballa Al Ameen Computer Science Department, College of Arts and Science, Prince Sattam Bin Abdul-Aziz University, Wadi Al Dawassir, Riyadh, K.S.A Dr.Moahmmed Rahmath Computer Science Department, College of Arts and Science, Prince Sattam Bin Abdul-Aziz University, Wadi Al Dawassir, Riyadh, K.S.A. One amongst innumerable deeds of Almighty is hominid due to its learning abilities. The main potential of learning is to acquire knowledge from different sources and apply it on real world applications. Learning is a technique of knowledge achievement and applying this knowledge over several application domains. This knowledge can be assimilated both by means of passive learning and active learning. Since many years traditional or passive learning played a prevailing role due to direct interaction of faculty and learner. Unfortunately these type of learning fails to attain the objectives of all the modern technological courses. This paper tries to demonstrate the learning methods like traditional and active which can conceive the outcomes of the courses as per the accreditation bodies. We also focuses on the pitfalls of traditional learning can overcomes by using active learning methods. In this paper we tried to focus on numerous active learning methods like class room observations, thinking & sharing of considerable thoughts among learners, Practical learning or achievements, brain storming, problematic based & result based learning and others. We tried to incorporate these learning methods both active & passive type to technical courses like software engineering and programming languages. The graphs are plotted after applying these learning methods on these courses. We also present a comparative study on how these active learning strategies can be beneficial in attaining the outcomes of National Qualifications Framework under National Commission for Academic Accreditations and Assessment accreditation body. This paper can be very much beneficial for all educators to select appropriate teaching strategies according to their courses before its commencement. 04 30 2020 10 16 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3074.049620 https://www.ijitee.org/portfolio-item/F3074049620/