-74813b3e17f460286df-5b33 20220402081636007 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 03 30 2020 8 6 M. Tech. degree in Digital Electronics and Advanced Communication from National institute of technology, Suratkal, India. Asha Bharathi S* Ravi Kumar M.S Professor and Head of the Department of Electronics and Communication Engineering at K.V.G. College of Engineering, Sullia, India. Crack detection has always been a dominant requirement for steel industries to ensure quality production and seamless infrastructure maintenance. However, application complexities and defect morphological differences make existing approaches confined. Steel-strip surface often undergoes scratch, crack and fatigue conditions during production. Manual crack detection schemes are no longer effective in current day complex environment. Amongst major steel strip crack detection approaches vision based techniques have found potential; Filamentous crack which is caused due to fatigue or strain is fine-grained and thin and hence highly difficult to be detected by classical morphology and static threshold based schemes. In the present work steel strip surface (filamentous) crack detection system has been developed which employs Varying-Morphological Segmentation (VMS) also called Neuron-Model Segmentation (NMS) in conjunction with local directive filtering and active contour propagation. The proposed method can be stated as an augmented variational framework that employs multi-directional filters for local crack-region identification followed by automated multi-directional region growing and iterative contour evolution which performs level set energy minimization to achieve accurate crack detection even under topological non-linearity and varying illumination conditions Simulation results with standard benchmark data has confirmed that the proposed method exhibits satisfactory performance for steel strip surface cracks. 03 30 2020 2940 2942 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8368.038620 https://www.ijrte.org/portfolio-item/F8368038620/ Department of Technology & Natural Resources, Faculty of Applied Sciences & Technology, Universiti Tun Hussein Onn Malaysia (UTHM), KM1 Jalan Panchor, Pagoh Educational Hub, Pagoh, Muar, Johor, Malaysia. Mohamed Ali A. Salim Alona Cuevas Linatoc* Department of Technology & Natural Resources, Faculty of Applied Sciences & Technology, Universiti Tun Hussein Onn Malaysia (UTHM), KM1 Jalan Panchor, Pagoh Educational Hub, Pagoh, Muar, Johor, Malaysia. Suzi Salwah Jikan Department of Technology & Natural Resources, Faculty of Applied Sciences & Technology, Universiti Tun Hussein Onn Malaysia (UTHM), KM1 Jalan Panchor, Pagoh Educational Hub, Pagoh, Muar, Johor, Malaysia. Shajarahtunnur Jamil Department of Chemistry, Faculty of Science, Universiti Teknologi Malaysia. Johor Bahru, Johor, Malaysia. Muhammad Sohail Latif Department of Technology & Natural Resources, Faculty of Applied Sciences & Technology, Universiti Tun Hussein Onn Malaysia (UTHM), KM1 Jalan Panchor, Pagoh Educational Hub, Pagoh, Muar, Johor, Malaysia. In this study, the allelopathic effect of Imperata cylindrica has been investigated. Aqueous extracts of Imperata cylindrica were tested at concentrations of 31.25, 62.5, and 125 mg/ml to study different parameters on Cucumis sativus and Lolium perenne. Various factors were studied to determine the inhibition and growth of root and shoot length, percentage germination, and fresh and dry weight. Results indicated that the aqeous extract of Imperata cylindrica contain allelochemicals which may contribute to its invasiveness and extreme competitiveness. The results of this study show that Imperata cylindrica contains allelochemical compounds particularly in root and shoot extracts that might be the potential candidates for future investigations for the development of herbicides based on its secondary metabolites and their allelopathic inhibitory effects. Further research is needed to investigate the allelopathic effect of Imperata cylindrical aqueous extracts under field conditions against the associated weed species and elucidation of the mechanism of inhibition involved 03 30 2020 2503 2508 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8370.038620 https://www.ijrte.org/portfolio-item/F8370038620/ Economic & Tourism Department, Quang Binh University, Dong Hoi City, Vietnam. Tu Luc Tran* Van Chung Nguyen Economic & Tourism Department, Quang Binh University, Dong Hoi City, Vietnam. The objective of this study is to measure the level of satisfaction and analyze the factors that affect customer satisfaction using mobile telecommunication services. The authors have built a model to assess customer satisfaction using MobiFone mobile telecommunications services, and test the research hypotheses about the relationship between components of mobile service quality to Customer satisfaction case at MobiFone Quang Binh branch. The study used descriptive statistical analysis, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) with data collected from 800 customers. The research results show that the flexibility, assurance and tangible have a significant influence on customer satisfaction with the quality of services and products. Finally, the article proposes solutions to improve the quality of product services of businesses in Vietnam. 03 30 2020 2825 2831 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8371.038620 https://www.ijrte.org/portfolio-item/F8371038620/ associate Professor at the Department of Innovative Economics, Finance and project management, Moscow Nikolenko Tatiana Yu* Semina Lidiya V Senior lecturer at the Department of Innovative Economics, Finance and project management, Moscow The study focuses on the organization of the economic security system in innovative enterprises that are most affected by external and internal factors due to the presence of a high degree of uncertainty. The essence and principles of economic security, as well as the reasons that reduce the high level of security of the enterprise, are determined. Based on the results of studying the problem, the stages to increase the economic security level are highlighted in general terms. The need for continuous monitoring of the company's state has predetermined the development of an economic security system that contains responsibility centers, a set of indicators, information flow channels, security improvement directions, and measures to eliminate or prevent threats. The main part of the study is the author's method of assessing the economic security level, based on the use of an integral indicator, which is interpreted using a ten-point scale. The calculation of the integral indicator is based on expert analysis, which assumes the presence of a factor of subjectivism, which is a disadvantage, but it is eliminated with proper selection of specialists in the working group. The article presents a practical example of applying the developed methodology to a specific innovative enterprise using an individual system of indicators. Measures to eliminate problems related to the violation of the innovative enterprise security, are proposed. 03 30 2020 2024 2031 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8379.038620 https://www.ijrte.org/portfolio-item/F8379038620/ Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia Bambang Leo Handoko* Ang Swat Lin Lindawati Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia Margaretha Vienna Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia Many discussions and opinions of experts who produce endangement or tools to detect the possibility of fraud in reporting financial performance. One of the most recent trends is the Pentagon fraud approach. Pentagon is a form that has five sides, there are five categories of causes of fraud in pentagon fraud, namely: pressure, opportunity, rationalization, competence and arrogance. Our research takes samples from banks, because the sector is the most common case of fraud. We made this quantitative secondary data-based research to have written evidence for reference in banking sectors. We use cross section data from 2016 year ends up to 2018. We own 35 samples from three years period, the total of 105 samples. We use ordinary least square using nine independent variables and one dependent variable. After conducting this research, we found that opportunity is the most influencing factor for company in banking sector to do fraud. While the others factor has no significant effect. 03 30 2020 2832 2838 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8380.038620 https://www.ijrte.org/portfolio-item/F8380038620/ Department of Yarn Engineering, Bangladesh University of Textiles, Dhaka, Bangladesh Prof. Dr. Hosne Ara Begum* Toufiqua Siddiqua* Department of Yarn Engineering, Bangladesh University of Textiles, Dhaka, Bangladesh Abul Kalam Mohammad Mazed Zubair Spinning Mills Limited, Gazipur, Bangladesh Prof. Dr. Eng. Abu Bakr Siddique BGMEA University of Fashion and Technology, Dhaka, Bangladesh The economy of Bangladesh is largely depending on textile and garments industries at this moment. In this industry the overall demand of quality and cost reduction is increasing constantly along with steadily growing production capacities. For these reasons backward linkage industry like spinning plays a vital role for sustainable textile production in Bangladesh. Winding machine plays a significant role in quality of ring spun yarn in a spinning factory. Modification of adapter used in winding machine is accomplished in this work. Two diameter of adapter such as 58 mm and 68 mm was produced from nylon fibre and attached to the Muratec 21C winding machine. By using these two modified and one conventional metallic adapter three different fineness of yarn such as 30’s Ne cotton, 40’s Ne PC, and 50’s Ne cotton was produced by ring spinning machine in the same processing parameters. Those yarns were wound with 900, 1100, 1300, 1400 & 1500 m/min with original and modified adapters. After winding of yarn different quality parameters like unevenness (%), imperfection index (-), hairiness (-), Count Strength Product (CSP) were tested through Uster Evenness Tester 5 and Ele Stretch XT tester accordingly and compared them. Power consumption was measured by TRINITY (NF29) energy meter. It was found from the analysis of all test results that adapter of 58 mm performed the best; 68 mm made from nylon fibre the better among three along with cost savings is also possible in using nylon adapter. 03 30 2020 2761 2768 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8381.038620 https://www.ijrte.org/portfolio-item/F8381038620/ Department of Commerce and Management, Amrita Vishwa Vidyapeetham, Amrita School of Arts and Science. Kochi, India. Jisha Vijay* Dr. Indu Manish Kumar Department of Commerce and Management, Amrita Vishwa Vidyapeetham, Amrita School of Arts and Science. Kochi, India. The study plans to ask into the marvel of Impulse purchasing conduct among the buyers of merchandise and on watching the effect of a few elements for an impulse purchasing choice of customers. An impulse purchase is of considerable marketing management activity which is driven by psychologically stimulated impulses. Impulse behaviour has been a philosophical target of discussion for many years. Motivation is spontaneous and emerges promptly with a specific improvement, the examination centers’ around elements in an impromptu or driving forces great utilization a buyer makes. Several theories and models have been studied before to depict the points highlighting the aspects of impulse buying. This study focuses on studying impulsiveness’ in the view of Howard Sheth Model where by factors are determined and Reference Point model to determine the time inconsistent behaviour of consumers. Journals & articles are selected for gathering information. The perspectives and the measurements influencing are resolved to see the certainties concerning lack of caution. This paper elaborates the concept of shopper behaviour models, the models on impulse purchase decision undertaken by the consumers. Other than this, factors impacting buyer conduct are talked about in this paper. 03 30 2020 2769 2774 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8382.038620 https://www.ijrte.org/portfolio-item/F8382038620/ Information Technology, Bannari Amman Institute of Technology, Sathyamangalam (TamilNadu), India. Ponnila P* Raihana A Information Technology, Bannari Amman Institute of Technology, Sathyamangalam (TamilNadu), India. Karpagavadivu K Information Technology, Bannari Amman Institute of Technology, Sathyamangalam (TamilNadu), India. Mervin George G Information Technology, Sri Krishna College of Engineering and Technology, Coimbatore (TamilNadu), India. Outward appearance was a characteristic and incredible method for human correspondence. Perceiving unconstrained facial activities in any case, is trying because of unpretentious facial miss happening, visit head developments and vague and unsure facial movement estimation. In light of these difficulties, ebb and flow look into in outward appearance acknowledgment is restricted to presented articulations and frequently in frontal view. An unconstrained outward appearance is described by inflexible head developments and non-rigid facial strong developments. All the more critically, it is the intelligible and steady spatiotemporal collaborations among unbending and non-rigid facial movements that produce an important outward appearance. Perceiving this reality, we present a bound together probabilistic facial activity model dependent on the Dynamic Bayesian system (DBN) to all the while and intelligibly speak to unbending and non-rigid facial movements, their spatiotemporal conditions, and their picture estimations. Propelled AI techniques are acquainted with gain proficiency with the model dependent on both preparing information and emotional earlier information. Given the model and the estimations of facial movements, facial activity acknowledgment is practiced through probabilistic surmising by deliberately incorporating visual estimations with the facial activity model. Analyses show that contrasted with the best in class strategies, the proposed framework yields huge enhancements in perceiving both inflexible and non-rigid facial movements, particularly for unconstrained outward appearances. 03 30 2020 2775 2781 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8386.038620 https://www.ijrte.org/portfolio-item/F8386038620/ Department of Electronics and Communication Engineering, Delhi Technological University, New Delhi, India. Aditya Chaturvedi* Shaleen Jain* Department of Electronics and Communication Engineering, Delhi Technological University, New Delhi, India. Prof. S. Indu Department of Electronics and Communication Engineering, Delhi Technological University, New Delhi, India. With the onset of Industry 4.0, automation and its applications have led to an increase in the product development domain. Numerous products have been developed involving wireless connectivity, sensors and embedded systems that lead to easiness in data visualization and computation. The market of automation has just started to be penetrated by start-ups and various established multinational companies, leading to an increased focus on the future of integration of Artificial Intelligence with hardware and networking. With current focus on sustainable development and climate change, our idea was to develop a product which could help private as well as government agencies in mobile air pollution detection over large neighbourhoods and cities. The purpose of this paper is to define the design and development of a radio frequency remote controlled aerial probe which aims at providing real-time telemetry data to a wireless base station, along with the capabilities of 3D mapping the concentration of Carbon Monoxide (CO) particles in the atmosphere and the contaminants dependencies on air temperature and pressure. We also aim at testing the accuracy of the particulate contaminant sensor by comparing the collected data value with the given government database, in order to calculate the percent error. 03 30 2020 2953 2961 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8387.038620 https://www.ijrte.org/portfolio-item/F8387038620/ Department of Electronics and Communication Engineering, K V G College of Engineering, Sullia and affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India. Kusumadhara S* Ravikumar M S Department of Electronics and Communication Engineering, K V G College of Engineering, Sullia and affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India. Raghavendra P Senior Manager, CAMPCO Ltd., Sullia, South Canara District, Karnataka, India. Grading of arecanuts before marketing fetches better prize. There are two universally accepted grading systems for arecanuts namely grading at the producers’ level and grading at the wholesale traders’ level. The major work in this paper is devoted to generation of a standard image database for the White Chali Type arecanuts and constructing a frame work for their grading by exploring the features of White Chali Type arecanut images for the first time. Further, two separate datasets are developed for the above grading systems by employing image feature extraction methods with 3500 and 4132 instances respectively. The arecanuts are graded using popular machine learning algorithms and the results are validated using ten fold cross validation. Multinomial logistic regression as classifier outperformed with classification accuracies of 98.8% and 92.69% for the producers’ level and the whole sale traders’ level grading systems respectively. Also the performances of various machine learning algorithms for the above two datasets are evaluated using weighted average values of True Positive rate, False Positive rate, precision, recall, F-measure and Cohen’s Kappa coefficient. 03 30 2020 2782 2789 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8389.038620 https://www.ijrte.org/portfolio-item/F8389038620/ Cavite State University – Silang, Campus Cereneo S. Santiago Jr*. Jake Alexander V. Murray Cavite State University – Silang, Campus Saxy Dizon Cavite State University – Silang, Campus The study aimed to design and develop a Plant Monitoring System for Vegetable Growers with android application. The developed system help farmers to water their plants according to its needs, determining the soil moisture, temperature and humidity with their respective sensors. A descriptive-development design was applied in the study. For the development of the system, the Systematic Engineering Process was employed. It deals with the development of hardware prototype, while Android Studio and Arduino Integrated Development Environment (IDE) were used to develop the software of the system to make use of its hardware. The functional acceptability of the system was assessed by one hundred twenty (120) evaluators consisted of farmers and agriculturists and IT professionals in compliance to hardware quality standards. The system was assessed in terms of functionality, durability, economy, safety, and saleability. The findings of the study revealed that the system performed its functionality well, with obtained adjectival rating of very good across three (3) groups of system evaluators. In terms of durability the system needs to be more durable to make it steadier and more substantial. In terms of economy, the system needs to use materials that are suited to make it more durable. The system is safe and ready to use by end user. The findings implied that the system was able to meet the criteria, specifically in safety, where the system exhibited an absence of harm when in use. The development of plant monitoring system could harness its power in sustaining production of plants or vegetables of farmers, thus, will contribute to the betterment of their lives through automated assistance in watering and monitoring plants or vegetables. 03 30 2020 3097 3100 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8393.038620 https://www.ijrte.org/portfolio-item/F8393038620/ Faculty of Mechanical and Manufacturing Engineering Technology, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. Khairul Azri Azlan* Mohammad Rafi Omar Faculty of Mechanical and Manufacturing Engineering Technology, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. Mohamed Saiful Firdaus Hussin Faculty of Mechanical and Manufacturing Engineering Technology, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. Muhammad Ilman Hakimi Chua Abdullah Faculty of Mechanical and Manufacturing Engineering Technology, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. Eswaran S. Chinniah Faculty of Mechanical and Manufacturing Engineering Technology, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. Laser triangulation 3D scanning machine is one of many types of 3D scanning technologies that are currently available in the current market. It is mainly use to capture object profiles as well as for measurement. Therefore, the measurement accuracy of laser triangulation 3D scanner was assessed and presented in paper. Three solid aluminum calibration block with known dimensions were fabricated by using CNC machine and these samples were named based on its profiles which are round, square and complex. Besides the laser triangulation 3D scanning machine, two more measuring equipment which are Vernier caliper and coordinate measuring machine were used as benchmarks. Three profiles were chose for each calibration block samples that made up of 9 profiles that have been measured and the deviation between the measuring values were analyzed. The results shown that the lowest deviation values for most of the profiles are from coordinate measuring machine and Vernier caliper measurement data. Nevertheless, the measurement deviation for laser triangulation 3D scanner are found to be comparable with other equipment. 03 30 2020 2789 2793 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8394.038620 https://www.ijrte.org/portfolio-item/F8394038620/ Assistant Professor, Department of MBA, Koshys Institute of Management Studies, Bangalore, India. Mrs. Roopa KV* Prof. Sanjeev Kumar K.M Professor, Department of MBA, Karnataka State Akkamahadevi Mahila University, Vijayapur, India. E- Commerce and Digitalization has paved its way by pooling investments and increasing their market share in Online Food delivery services in India with a revenue of US$7,730m and an Annual growth rate of 12.8% in 2019. [1] Growth and flourishment in working women population, Dual income, Penetration of internet, Smart phones, Double income no kids (DINK) mobile wallets, customization, discounts and offers has made it easy and convenient to order food online through Swiggy, Zomato, Domino’s pizza, uber eats, food panda and others. Bangalore being the highest taker of food orders with 20% market share, Mumbai in its second position with 18% share, Pune at third place with 17% share, Delhi being fourth at 15% and Hyderabad at its fifth position with share of 12% Respectively and other cities accounting to 18% of market share in India 2019. The online food aggregators app has its presence over 200 cities in march 2019.The study emphasizes on understanding the factors influencing to order food online. Convenient and purposive sampling technique has been adopted. A sample of 318 online food ordering customers in Bangalore were surveyed to analyze the Impact of digitalization on ordering Food online using Factor Analysis to associate the influencing factors and Multiple regression was used to identify the most influential factor. It was found that ratings and reviews, ranking on search engine, carousal advertisements, live order tracking, delivery time, coupon code, discounts, notifications on mobile applications had more impact on the consumer’s choice to order food online than preferring for dine out at restaurants. 03 30 2020 4409 4414 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8395.038620 https://www.ijrte.org/portfolio-item/F8395038620/ Associat Professor, Department of Electrical Engineering , Anjuman College of Engineering & Technology, RTMNU, Nagpur, India. Mrs.Archana Shirbhate* Dr. V. K. Chandrakar Professor, Department of Electrical Engineering,, GHRCE, Nagpur RTMNU, Nagpur, India. This article planned the power investment strategies that coordinates the power distribution line loss component with the distribution factors. Improved power investment strategies technique for the entire power market. The online price estimator analyzes transfer breaks down exchange rates dependent on specific instruments at the advancement cost list , which work vigorously to modify offers and agreement the executives, which implies that online vitality exchanging expenditure a ton of cash. The planned approach was tried on the IEEE30 bus test arrangement utilizing MATLAB documents from the MATPOWER reproduction program to break down the vitality stream and perfect vitality stream issues. It is a reenactment device that permits reviews and educators to be handily utilized and adjusted to exhibit the various outcomes between valuing plans. The diverse value parameters are a fundamental game plan in the test arrangement, which is associated with over-burdening, steering, and promote the techno-financial examination of the exchanging theory with the foundation computations completed. accessible online as an extra establishment. 03 30 2020 4011 4016 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8397.038620 https://www.ijrte.org/portfolio-item/F8397038620/ Mechanical Department, Priydarshini Bhagwati College of Engineering, Nagpur, India. K.D. Ganvir* N.D. Pachkawade* Mechanical Department, Priydarshini Bhagwati College of Engineering, Nagpur, India. With the accomplishment of new engineering science and technologies, machineries formulated by the the technocrats are utilized in medical field. Biomedical Engineering has thus gained a prominent status in the recent years. Few decades ago, it was considered as weird thing if any mechanical engineers performed studies on dental area, but in today’s scenario mechanical engineers are doing studies as well as research in the area of dental science. In this paper an attempt has been made to select best crown material for molar tooth, So that an appropriate material can be placed in the human body which is most difficult task .so for designing a molar crown, modeling is done in pro/engineer software, it is one of the parametric 3D CAD/CAM/CAE solution widely used by mechanical engineers for designing any product .this software creates a complete 3D Digital model of the product. For this extensive research, design for all crowns will be the same but only material properties will be different. After design, failure analysis is done. Loss of ability to function normally is the study of failure analysis. This is accomplished by considering various loading conditions .Here finite element analysis is used, the standard principle underlying the FEM are simple. The word finite is used to describe the limited, or finite, number of degrees of freedom used to model the behavior of each element, the element are assumed to be connected to one another but only at interconnected joints, known as nodes. Considering a body through which the distribution of a field variable I.e. displacement or stress is required, this body could be subjected to various loads. Problem is solved by two methods: static fatigue and dynamic fatigue 03 30 2020 2689 2693 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8398.038620 https://www.ijrte.org/portfolio-item/F8398038620/ Computer Science and Engineering, National Engineering College, Kovilpatti. C. Singaraj* M. Venu Gopal Computer Science and Engineering, National Engineering College, Kovilpatti. M. Venkatesh Computer Science and Engineering, National Engineering College, Kovilpatti. K S. Vigneshwar Computer Science and Engineering, National Engineering College, Kovilpatti. Dr.V. Kalaivani Professor of Computer Science and Engineering, National Engineering College, Kovilpatti In a market, a lot of soft drinks are available, and to get more profit, the organizations sell the lapsed soft drinks, by basically changing the expiry date. For recognizing the lapsed soft drinks we can utilize the Fake Soft beverages finder by estimating the PH estimation of the Soft beverages. It assists with staying away from human medical problems like kidney issues, stomach torment. It is useful for ordinary citizens who expend soft drinks routinely. It can identify synthetic or profoundly harmed lethal substances included soft drinks. Right now, counterfeit soft drinks are identified utilizing PH esteem. 03 30 2020 4866 4869 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8399.038620 https://www.ijrte.org/portfolio-item/F8399038620/ Department of Mechanical Engineering, GH Raisoni College of Engineering & Research, Pune, India. Kale Dipak R* Dr. R. R. Arakerimath Department of Mechanical Engineering, GH Raisoni College of Engineering & Research, Pune, India. The need for low weight and high strength of the component is in high demand in various aerospace and defense industries and in line with this utilization of the combination of metal and composite increases. In this work, the natural frequency analysis of the structure, is carried out which is a combination of metal and composite. The natural frequency of the system is directly proportional to the stiffness of the system i.e. high natural frequency reflects high stiffness of materials. The structure considered like a cantilever beam, initially considering Titanium alloy the finite element analysis to get natural frequency carried out and validated using an analytical method. Then modal analysis performed using FEA for laminated composite structure and validate with the experimental results and received good agreement. The laminated composite beam manufactured using a hand layup method. Lastly, the structure modeled as a combination of laminated composite material & metal and FEA modal analysis done. The various volume percentage of composite and metal is studied and the best one finds out. The structure considered related to the last stage of the steam turbine blade. 03 30 2020 2340 2344 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8402.038620 https://www.ijrte.org/portfolio-item/F8402038620/ Management Studies, Graphic Era Deemed to be University, Dehradun, India Bijesh Dhyani* Manish Kumar Management Studies, Graphic Era Deemed to be University, Dehradun, India. Poonam Verma SOC, Grpahic Era Hill University, Dehradun, India. Abhishek Jain SOC, Grpahic Era Hill University, Dehradun, India. In Financial market, various shares, bonds, securities or currencies are traded on the daily basis , thus making most of the datasets as time series data where price is plotted against a time series[11] . There are many techniques and analysis technique that can be used with times series data like ARIMA model, exponential Smoothing, Neural Networks or Simple Moving average. However ARIMA Model is commonly used to understand time series analysis in order to extract meaningful characteristics of the data and help in the prediction of the stock prices.[12] since it helps to understand what happened in past and past behavior of data can help to predict future. Time series is a special property and different set of predictive algorithm. There are three variants of the ARIMA Model namely Basic, Trend Based and Wavelet Based. In this paper key components of time series data have been discussed and implemented using ARIMA model for we have collected NIFTY daily data of Nifty50 index and wants to predict future value of the Stock. 03 30 2020 2694 2697 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8405.038620 https://www.ijrte.org/portfolio-item/F8405038620/ Professor, Department of Civil Engineering, Kallam Harandha Reddy Institute of Technology, Guntur, Andhra Pradesh, India M. Satish Kumar* V.Lakshmi Prasanna B.Tech Final Year Civil Engineering student in Kallam Harandha Reddy Institute of Technology, Guntur, Andhra Pradesh, India K.Madhu Sudana Vijaya bhaskar B.Tech Final Year Civil Engineering student in Kallam Harandha Reddy Institute of Technology, Guntur, Andhra Pradesh, India J.Naveen Kumar B.Tech Final Year Civil Engineering student in Kallam Harandha Reddy Institute of Technology, Guntur, Andhra Pradesh, India N. Venkateswarlu B.Tech Final Year Civil Engineering student in Kallam Harandha Reddy Institute of Technology, Guntur, Andhra Pradesh, India Catchments are most important for the purpose of practicing irrigation and recharging groundwater by collecting water during the rainy season so that the nearby land will be in surplus quantity of groundwater due to the continues percolation of water from the catchments, even the stored water in the form of catchments will be used as an alternative water source for other requirements apart from the irrigation practices such as for industries and other developmental activities taking place nearby the catchments. Year by year it was noticed that in the world scenario the pollutant concentration is keep on increasing especially water and air pollution due to the excessive load of population that is increasing from the rural to urban areas [10]. Coming to water pollution the major portion of pollution is increasing in the surface water bodies [4] due to various activities like surface runoff, intentionally releasing of untreated effluents from the nearby industries into the catchments [8] and the agricultural runoff etc, whatever the reason there is an immediate need and an emergency to monitor these catchments as the average rainfall is gradually decreasing due to the changing climatic conditions like global warming which leads to the reduced availability of water in the surface water bodies at the other side the existing water is being contaminated [5] by the activities of nearby people. The impact will be severe when the same situation continues in the days to come where the living standards of the people will be decreased at a notable level and the impact will be much more severe on the irrigated land which depends on the catchments. The study has done at Kolleru Lake in west godavari district, Andhra Pradesh. Collected Six Water samples from six locations around the lake for analysis [7] and then the results of the analysis compared with Central Pollution Control Board 1979and Indian standards 1982 guidelines for water in the surface water bodies to find out the present scenario of lake water. 03 30 2020 2509 2512 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8408.038620 https://www.ijrte.org/portfolio-item/F8408038620/ Department of Mechanical Engineering, National Institute of Technology Raipur, Raipur, C.G., India. Taranjeet Sachdev Vivek Kumar Gaba Department of Mechanical Engineering, National Institute of Technology Raipur, Raipur, (C.G.), India. Anil Kr Tiwari* Department of Mechanical Engineering, National Institute of Technology Raipur, Raipur, (C.G.), India. This work deals with the analysis of the proposed innovative humidification-dehumidification (HD) desalination unit in which waste hot air of kitchen chimney has been used for heating brackish water. The proposed system is configured with solar air heater also, thus both heated air and heated water has been used to improve the water yield of desalination unit compared to conventional system. Mathematical modeling of propose unit based on energy balance of flat plate air heater, humidifier, dehumidifier and brackish water tank has been used to evaluate the effect of operating condition. Potable water yield found to increase (with highest productivity of 6.5 kg/day) when mass flow rate of process air increases from 0.6 kg/min to 3 kg/min. Strong dependency of water mass flow rate has also been found as productivity increases (with maximum value of 6.7 kg/day and 7.5 kg/day) by increasing the mass flow rate of brackish water in humidifier and cold water in dehumidifier respectively. The higher initial temperature of brackish water also found beneficial as it increases productivity. Finally, the thermal performance of desalination unit has been evaluated in terms of Gain in Output Ratio and comparison has been made with conventional system. The higher GOR of the proposed system ensures the better utilization of thermal energy in potable water production. 03 30 2020 3221 3225 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8409.038620 https://www.ijrte.org/portfolio-item/F8409038620/ Bachelor of Engineering, Computer Science from LNCT Indore. Nitika Kadam* Harish Patidar Bachelor of Engineering, Computer Science and Engineering discipline, MIT Ujjain. Social media is a virtual place where every age group members are available. Members are using this platform to share knowledge and information. But some of them are misuse and abuse the services of social media. In order to perform malicious activities the users and BOTs are creating fake profile, these profiles are used for spreading the unsolicited and malicious contents. Therefore the proposed work is motivated to study about the social media platform and it’s security and privacy challenges. In this context, the recent year’s progress in the domain of social media is explored, and the literature is collected and categorized according to the area of work. Among them concepts of profile attribute evaluation and the content analysis based techniques are most promising. Therefore by using the concept of both the kinds of technique a new model is tried to design and their functional aspects are discussed. In near future the proposed working model is implemented and their performance is demonstrated. 03 30 2020 4534 4539 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8414.038620 https://www.ijrte.org/portfolio-item/F8417038620/ CSE department, SRM Institute of Science and Technology, Chennai, India. Mrs. E. Saraswathi* S. K. L. SRINIVAS CSE department, SRM Institute of Science and Technology, Chennai, India. G. TRINADH KUMAR CSE department, SRM Institute of Science and Technology, Chennai, India. T. HEMANTH CSE department, SRM Institute of Science and Technology, Chennai, India. With the information pace of fast connections expanding, the effect of nonlinear variables turns out to be increasingly noticeable, which bring incredible sign uprightness difficulties to the examination and plan of rapid connections. Notwithstanding, there are two holes in the investigation of the nonlinear practices of the rapid connections. One is that there is no recreation stage which can deftly manage various types of nonlinear practices. An elective fast connection demonstrating and examination technique is recommended dependent on the framework ID approach, rather than utilizing industry standard models. This methodology is particularly advantageous for the framework structure/investigation in that the means are basic and the philosophy is entrenched in other control. The other is that there is no metric which can measure the degree of the nonlinearity of the connections. Focusing on these two issues, this paper first models a nonlinear rapid connection dependent on Simulink, which can deftly change the nonlinear practices and investigate the effect of nonlinear practices on the presentation of the fast connections. At that point a measurement is exhibited base on the chief segment examination (PCA) to evaluate the degree of the nonlinearity of the fast connections. Re-enactment results show that the measurement can viably catch the nonlinear seriousness of the connections. 03 30 2020 2962 2966 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8418.038620 https://www.ijrte.org/portfolio-item/F8418038620/ EEE Department, Karunya Institute of Technology and Sciences, Coimbatore, Tamilnadu, India. Ajayan S* A Immanuel Selvakumar EEE Department, Karunya Institute of Technology and Sciences, Coimbatore, Tamilnadu, India. This paper provides detailed modeling and simulation of a proton exchange membrane (PEM) fuel cell electric vehicle. The power supply system consists of a PEM fuel cell and a battery bank. The power management system effectively manages the supply flow from the dual power supply system without compromising the efficient working condition of both power supply systems. The mathematical modeling of each subsystem of the hybrid electric vehicle is presented. All the subsystems are then combined and simulated and the results are presented and discussed. 03 30 2020 2967 2975 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8420.038620 https://www.ijrte.org/portfolio-item/F8420038620/ Research Scholar, Department of Electronics and Communication Engineering, S. V University College of Engineering, Tirupati, Andhra Pradhesh, India. B. Chandrababu Naik* Dr B. Anuradha Professor, Department of Electronics and Communication Engineering, S. V University College of Engineering, Tirupati, Andhra Pradhesh, India. In this paper different classification techniques are applied to extract spread surface water area in the Nagarjuna sagar reservoir, Andhra Pradesh from Landsat-8 (OLI) image. In addition, the separability of reservoir features are tested to evaluate the thematic correctness of the classified data. This is to evaluate the application of a supervised and unsupervised classification techniques using the ERDAS software to extract the changes of surface water features for the period of 2014 to 2019. Furthermore, the statistical parameters are evaluated for the classification techniques. In supervised and unsupervised classification methods the minimum distance classifier gives better result (overall accuracy is 98.01%) than other classification methods. These obtained results are validated with ground truth data which is provided by Central Water-board Commission(CWC). 03 30 2020 2345 2350 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8421.038620 https://www.ijrte.org/portfolio-item/F8421038620/ Assistant professor, Department of MBA, RGM Engineering College (Autonomus), Nandyal, India. Dr. G. C. Venkataiah K Venkata Rami Reddy Research Scholar, Department of Management, GITAM (Deemed to be university), Hyderabad, India. Tilak Kumar Vadapalli Lecturer, GITAM Hyderabad Business School, GITAM (Deemed to be university), Hyderabad, India. Systematic Transfer Plan (STP) is a plan where an investor moves from one scheme to another a fixed amount of money, typically from debt funds to equity funds. STP is similar to SIPs or systematic investment plans, where money is moved from bank account to mutual equity funds. In STP, money is transferred in a few installments from a debt mutual fund to a mutual equity fund, so that the total purchase price is weighted suppose investor have earned 20 lakh from an asset sale and want to invest over 24 months in an equity fund through STP. Investor must first pick a debt fund that gives STP choice to invest in an equity fund. Then, choose an equity fund. Invest Rs 20 lakh in the debt fund and then determine the balance from the debt fund to the equity fund and the duration. In the alternative investment plan, the Systematic Transfer Plan (STP) has emerged for a large number of investors interested in high returns but less risk with lump sum investments. The purpose of the study is to know how to put money into STP reduces the risk of market timing and also helps investors to gain more from their source corpus by investing in debt funds. Results of the study found that awareness and operational framework, on the other hand, is one of the key barriers that investors face. The strategy of rupee cost average is an approach that motivates the investor to invest in a systematic transfer plan to gain from market timing risk. This research is also beneficial. The present study also allows investors to analyze the decisions and determine whether or not to invest in them and provides advice to protect their financial goals. 03 30 2020 2351 2354 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8422.038620 https://www.ijrte.org/portfolio-item/F8422038620/ School of Electronics Engineering, Vellore Institute of Technology, Tamil Nadu, Vellore, India Vahida Shaik Shambavi Krishnan* School of Electronics Engineering, Vellore Institute of Technology, Tamil Nadu, Vellore, India. This communication presents a single flower shaped resonator frequency selective surface (FSS) unit cell with stable oblique angles of incidence for both horizontal and vertical polarizations. The proposed FSS structure which can impede the frequencies from 3GHz to 6GHz at 3dB insertion loss is presented. The proposed FSS comprise an improved decagon to form a flower-shaped structure that exhibits single narrow stop band characteristics. The flower shaped FSS acts like a band-stop filter with center frequency of 4.8 GHz and notch band frequency ranging from 4.2GHz to 5.3GHz at 10dB insertion loss and 320MHz bandwidth at 20dB insertion loss. The designed FSS can use for shielding of public safety WLAN frequency. We present the equivalent circuit model and the surface current distribution to illustrate the resonance characteristics of the miniaturized FSS. To validate the design and simulation results, the proposed FSS is fabricated and tested in a semi-anechoic chamber 03 30 2020 3423 3427 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8430.038620 https://www.ijrte.org/portfolio-item/F8430038620/ Department of Electrical and Electronics Engineering, Dr. Mahalingam College of Engineering and Technology, Tamil Nadu, India. Dr. L. Chitra* Mr. M. Prabhu Raj Department of Electrical and Electronics Engineering, Dr. Mahalingam College of Engineering and Technology, Tamil Nadu, India. B. Keerthivaishnavi Department of Electrical and Electronics Engineering, Dr. Mahalingam College of Engineering and Technology, Tamil Nadu, India. G. Madhusowmiya Department of Electrical and Electronics Engineering, Dr. Mahalingam College of Engineering and Technology, Tamil Nadu, India. P. Rathna Praveen Department of Electrical and Electronics Engineering, Dr. Mahalingam College of Engineering and Technology, Tamil Nadu, India. Electric vehicles are a recent technology which has a zero emission duringits use and is looking for an important role in the technology and market. Electricvehicles have several advantages. The main concern of this project is to analyse and design a charge controller to charge electric vehicles using single phase AC supply and also to prevent over chargingofthebattery. Various energy management waysfor a powered Electric vehicles has been studied and a suitable method has been selected.An Electric vehicle can be charged by using AC supply which is taken from the grid or by using solar panels.This proposed system can be installed and used in any public places. 03 30 2020 3685 3688 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8433.038620 https://www.ijrte.org/portfolio-item/F8433038620/ Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Reshmi Paul* Dr. A. Jeyasekar Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Cloud technology is popular since the utilizations and their information are expanding hugely step by step. It gives usefulness to overseeing data information in a conveyed and pervasive way supporting many platform. Data sharing and security problem are the principle issue to the increasing use of health care, since health information is delicate. However issues, for example, risks of privacy exposure ,versatility in key administration, adaptable access and effective uses denial always been the most significant difficulties for accomplishing good- grained cryptographically upheld information access control. Right now structure a protected information move and profile coordinating plan with probabilistic open key encryption in correspondence test to diminish the size of open key which helps in decreasing the capacity and furthermore time productive. Our probabilistic open key encryption plot when executed in a bilinear gathering, it can check whether two figure writings are scrambled of a similar message. Strangely, in encryption or decoding system bilinear mapping isn't required in Public Key Encryption conspire except if when individuals need to do in fairness test between two figure messages that might be produced utilizing diverse open keys. Additionally the profile coordinating component dependent on Probabilistic Public Key Encryption with fairness test( PPKEET) causes patient to discover companions in a security saving way with age of trapdoors and structure social connections as indicated by the desire. The security examination and trial results demonstrated that our plan is ensuring the information and giving right medicine in cloud. 03 30 2020 3076 3080 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8434.038620 https://www.ijrte.org/portfolio-item/F8434038620/ Department of Computer Science (PG), PSGR Krishnammal College for Women, Coimbatore, India. R. Kowsalya* Dr. B. Rosiline Jeetha Department of Computer Science, Dr. N.G.P Arts and Science College, Coimbatore, India. In the wireless sensor networks (WSNs), the upholding the energy and routing formation at every sensor node is the major issues. The distance from base station and internal node mainly has imbalanced in the energy consumption during transformation of the data. To reduce the energy upholding and the data aggregation routing issues in Centralized Clustering-Task Scheduling for wireless sensor networks (WSNs), this paper focuses on a Cluster-Based Data Aggregation Routing with Genetic search Algorithm (CDARGA) , which reduces the energy consumption in a hyper round model. The proposed data aggregation routing protocol using the Genetic Algorithm (GA) estimates the fitness function using the three key parameters distance, energy, and Hyper round policy. The proposed methods were compared with RP-MAC and the experimental result shows that the proposed protocol is superior to RP-MAC protocol and the proposed algorithm improves the network lifetime which can used in real time application. 03 30 2020 2976 2982 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8443.038620 https://www.ijrte.org/portfolio-item/F8443038620/ Graduate Student, Bina Nusantara University, Jakarta, Indonesia Yogi Osadhani* Nilo Legowo Associate Professor, Graduate Program, Bina Nusantara University, Jakarta, Indonesia, The development of information technology is currently growing rapidly so that many companies need software products to improve the efficiency and effectiveness of company operations. This makes more and more new information technology (IT) companies cause business competition to become more competitive. PT Telin as an old IT company since 1995 must have a reliable strategy to be able to retain old customers and reach new customers by improving the quality of software products. Quality products will increase customer satisfaction and company value. At present, PT Telin, as one of the largest telecommunications companies providing various types of services to its customers, is aware that there is a lack of service management. The service here is meant to be more focused to internet data service services. This can reduce customer satisfaction and have a negative impact on the company both short and long term. This problem can be influenced by various factors that exist in the company. This can be like business processes, company databases, databases and users that cause shortages that result in poor service to customers so that the SLA exceeds the limits specified in the contract. One of the quality improvements that are widely studied and applied by companies is the DMAIC Method, which is Define, Measure, Analyze, Improve, and Control. This method is a method that focuses on improving product quality and increasing the effectiveness and efficiency of all operational processes to meet customer needs and satisfaction. The purpose of using this method is to change the Business Process that is currently running to be better than before and the results of this project are expected to help the company in improving the quality of the company's Management Services to customers and can be better in business development. After all the recommendations in this research are implemented, the estimated sigma level of the quality service management increases by 0.39σ (3.80σ to 4.19σ) 03 30 2020 2355 2361 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8444.038620 https://www.ijrte.org/portfolio-item/F8444038620/ Assistant professor, Department Computer Science and engineering, Institute of technology, Guru Ghasidas Vishwavidyalaya, Bilaspur. Manjit Jaiswal* Aditya Sahu Bachelor of Technology, Department of Computer Science and Engineering from School of Studies in Engineering and Technology, Guru Ghasidas Vishwavidyalaya, Bilaspur, India Md Tausif Zafar Bachelor of Technology,Department of Computer Science and Engineering, School of Studies in Engineering and Technology, Guru Ghasidas Vishwavidyalaya, Bilaspur Image classification is an important task in computer vision involving a large area of applications such as object detection, localization and image segmentation. When it comes to image classification, the most adopted methods are based on deep neural network and especially convolutional Neural Networks(CNN). Selection of hyperparameters plays a crucial role in performance of model and it comes by experience. So, in this paper, we will use the genetic algorithm(GA) to automate and build the CNN model for higher accuracy on GPU which is provided by Google Collaboratory cloud. The best architecture of CNN after several generations of the genetic algorithm is then compared to the state-of-the-art CNN. We have used the malaria cell images dataset to find out whether the person is normal or if they are suffering from malaria. We trained two types of malaria cells, which are uninfected and parasitized on Tesla P100 multi core GPU. We got a high training accuracy of 97% and got a testing accuracy of about 95% on the multicore GPU that boosted the speed of execution of training time period and testing time period. 03 30 2020 2983 2991 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8448.038620 https://www.ijrte.org/portfolio-item/F8448038620/ Electronics and Communication Engineering department, Punjabi University, Patiala, India. Manjot Kaur* Dr. Sonia Goyal Electronics and Communication Engineering department, Punjabi University, Patiala, India. Breast cancer is one of the leading causes of death among women all over the world. It is the abnormal growth of breast tissues in multistage process. As the stage increases, the chances of treatment and probability of survival of patient decreases. Hence, early detection and diagnosis of breast cancer is must. Microwave imaging technique for early detection of breast cancer is a promising technique to detect tumor and it also have several advantages over other existing techniques for breast cancer detection, such as Breast Self-Examination (BSE), Clinical Breast Examination (CBE), Breast Ultrasound, Computerized Tomography (CT), Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), Mammography and other breast screening methods. One of them is non-ionizing radiations. Other advantages include portability, inexpensive system and safe for human body. Microwave imaging employs microstrip patch antenna as its integral part, for transmitting and receiving microwaves. Microstrip patch antenna as name suggests is a low weight, smaller size antenna. Depending upon substrate material, microstrip patch antennas can be categorized as flexible and non-flexible antennas. Flexible microstrip patch antennas, mostly consisting of textile materials are becoming the preferred choice for most of the researchers. This paper presents recent trends in microstrip patch antenna design for early breast cancer detection and a comparison among them in terms of substrate, feeding techniques, Specific Absorption Rate (SAR), E and H field, Return Loss, Voltage Standing Wave Ratio (VSWR) and some other parameters. 03 30 2020 2698 2705 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8449.038620 https://www.ijrte.org/portfolio-item/F8449038620/ Energy Centre, Maulana Azad National Institute of Technology (MANIT), Bhopal, India. Arpita De* Anoop Kumar De Data Analytics, Genpact, Texas, USA., The present conventional sources of energy have been rapidly decreasing. There is an ever-increasing demand of energy which can be fulfilled only by taking into consideration, alternative sources of energy that are also environment friendly. For integrating the renewable energy source such as Solar PV with the grid, several factors must be kept in mind for ensuring the health of the grid. In the past, this task was effectively handled with different computational algorithms such as Ant Colony, Particle Swarm Optimization. But with the advent of Big Data technologies and Machine learning techniques, this task is handled even more effectively. This paper will review different studies in which Artificial Intelligence will be used to make effective decisions regarding the load demand, optimal sizing and positioning of Solar PV energy generating stations. 03 30 2020 2992 2998 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8451.038620 https://www.ijrte.org/portfolio-item/F8451038620/ Department of Compute Science, Government Arts and Science College, Coimbatore, Tamil nadu, India. J. Saranya* Dr.N. Thenmozhi Assistant Professor, PG and Research Department of Information Technology, Government of Computer Science, Coimbatore, Tamil nadu, India. The research on plant growth estimation of sugarcane plants is a key factor ongoing now days. The problem of plant growth and yield estimation of sugarcane plants is well studied. There are number of solutions recommended by different researchers, still they suffer with poor accuracy. Existing methods measure the plant growth according to the rainfall and temperature which introduces poor performance. To improve the performance, an efficient Climate Hydro Image Soil Model (CHISM) is presented. The model considers various properties namely climate conditions like temperature, humidity and hydrologic features namely rainfall, water poured and soil conditions towards plant growth. The method uses the satellite images in obtaining the soil condition, by applying image processing technique, the soil condition are obtained. Remaining features are obtained through the regional data set provided by agriculture sector. Using all these features, the method estimates various influence measure on different features considered. The method computes rainfall influence measure (RIM), water influence measure (WIM), temperature influence measure (TIM), humidity influence measure (HIM), and soil influence measure (SIM). Using all these measure, the model computes the plant growth rate (PGR) and Yield Rate (YR) in different time window. According to the measures estimated, the model performs water regulation. The method improves the performance of plant growth estimation and crop yield. 03 30 2020 3101 3108 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8454.038620 https://www.ijrte.org/portfolio-item/F8454038620/ Department of Mathematics, Dibrugarh University, Dibrugarh, Assam, India. Palash Dutta G. C. Hazarika Department of Mathematics, Dibrugarh University, Dibrugarh, Assam, India Joydeep Borah Department of Mathematics, Dibrugarh University, Dibrugarh, Assam, India In most of the time, the real life phenomena are uncertain. Due to the uncertain nature, consideration of some exact values or definite conditions may cause errors in the solution process. The fluid flow problems are also uncertain due to the presence of various imprecise parameters, variables and conditions. Here, an MHD fluid flow over an exponentially accelerated inclined plate is considered in fuzzy environment. Fuzzy set theory (FST) may help to overcome the uncertain nature of the fluid flow problems. The governing equations and the boundary conditions of the considered problem are fuzzified using the extension principle. The fuzzified governing equations along with the fuzzified boundary conditions are solved using the finite difference method (FDM) by developing suitable computer programming code in Python. The values of the different parameters and variables (initial values) are taken as triangular fuzzy number (TFN). −cut technique is used to find the results. The effects of the various involved parameters and on the velocity, temperature and concentration profile are presented graphically and discussed. 03 30 2020 3784 3790 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8455.038620 https://www.ijrte.org/portfolio-item/F8455038620/ Assistant professor in the Department of Mechatronics Engineering at Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India S. Kannaki* S. Nithyapriya Assistant Professor in the Department of Mechatronics Engineering at Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India M. Abinesh B.E. Mechatronics Engineering Final Year at Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India N. Gayatri B.E. Mechatronics Engineering Final year at Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India V. Harish UG pre final year of Mechatronics engineering in Sri Krishna College of engineering and technology R. Manikandan UG pre final year of Mechatronics Engineering at Sri Krishna College of Engineering and Technology M.S. Kailash UG pre final year in Mechatronics Engineering at Sri Krishna College of Engineering and Technology This paper presents automatic cow dung log making machine. Cow dung logs used as fuel for many purposes such as cooking, heating boilers, chambers and many other purposes. The main aspect is to automate the cow dung log making process. The purpose of study is to replace manual production to semi-automated process and also to increase production rate. The advantage of the process is to increase the production rate of cow dung logs and bhasma at minimum runtime of machine with respect to the environmental condition. 03 30 2020 2999 3002 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8462.038620 https://www.ijrte.org/portfolio-item/F8462038620/ School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India. Somaya Jafari* Anisha M. Lal School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India. Jagalingam P School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India. Ship detection is a procedure which asserts in fields such as ocean and sea management, vessel detection, marine superintendence, and rein, and also can be applied to exclude extralegal actions. Remote sensing can be utilized as a potential tool for zonular and universal monitoring to attain the forenamed goals. Among the radar images, the precious datum from Synthetic Aperture Radar (SAR) is playing a serious duty in remote sensing. Howsoever, vessel detecting in heterogeneous and strong clutter is still a question in this regard. The letter points to a ship detection scheme for SAR images exploiting a segmentation-based morphological operation using entropy. In the presented scheme, the morphological operations are adopted to intercept the background and foreground in the satellite images. The method was implemented and tested on the homogenous, heterogeneous and strong clutter SAR images and the results are promising and showing that the proposed method can improve the vessel detection from homogenous and heterogeneous and strong clutter satellite images. 03 30 2020 2513 2517 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8465.038620 https://www.ijrte.org/portfolio-item/F8465038620/ School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India. Somaya Jafari* Anisha M. Lal School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India. Jagalingam P School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India. Ship detection is a procedure which asserts in fields such as ocean and sea management, vessel detection, marine superintendence, and rein, and also can be applied to exclude extralegal actions. Remote sensing can be utilized as a potential tool for zonular and universal monitoring to attain the forenamed goals. Among the radar images, the precious datum from Synthetic Aperture Radar (SAR) is playing a serious duty in remote sensing. Howsoever, vessel detecting in heterogeneous and strong clutter is still a question in this regard. The letter points to a ship detection scheme for SAR images exploiting a segmentation-based morphological operation using entropy. In the presented scheme, the morphological operations are adopted to intercept the background and foreground in the satellite images. The method was implemented and tested on the homogenous, heterogeneous and strong clutter SAR images and the results are promising and showing that the proposed method can improve the vessel detection from homogenous and heterogeneous and strong clutter satellite images. 03 30 2020 2513 2517 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8465.038620 https://www.ijrte.org/portfolio-item/F8465038620/ TIFAC-CORE in Cyber Security Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India. R Sam Jasper* PP Amritha TIFAC-CORE in Cyber Security Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India. M Sethumadhavan TIFAC-CORE in Cyber Security Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India. The WLAN devices are used nowadays in many universities, commercial buildings, and organisations which were developed by Wi-Fi alliance to provide interoperability, security and ease of use of wireless devices connected to everywhere, every time to the internet. The WPA2 standard (IEEE 802.11) defines security mechanisms for wireless networks. This paper describes possible attacks launched on Wireless LAN from pre-connection to gaining access to the system and it represents the effect of these attacks on the WLAN along with some mitigations to prevent the devices from the below-defined attacks. 03 30 2020 3003 3007 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8475.038620 https://www.ijrte.org/portfolio-item/F8475038620/ M. Tech student, Department of Civil Engineering, Integral University, Lucknow, India. Anayatullah Bhat* Zishan Raza Khan Associate Professor, Department of Civil Engineering, Integral University, Lucknow, India. Autoclaved aerated concrete (AAC) blocks are the lightweight and green concrete blocks that are composed of cement, fly ash, lime, gypsum and aluminium powder. Depending on its density AAC consists of up to 80% of air by volume. Due to their low density and lightweight Autoclaved aerated concrete blocks exhibit so many favourable physical properties that these have got attention from all around the globe. Due to these enhanced properties Autoclaved aerated concrete blocks are extensively used as masonry units in all types of construction. On one hand AAC blocks have no comparison with other types of masonry units in terms of physical properties but on other hand AAC blocks are found to have low compressive strength relatively. In this study an attempt has been made to study the influence of Alkali-Resistant Glass Fibre additive on the physical and mechanical properties of Autoclaved aerated concrete blocks. Four sets of samples were cast and named as A, B, C and D with the fibre additive contents as 0%, 0.1%, 0.2% and 0.3% respectively (by dry weight of all the ingredients).Each sample set consisted of three specimens and the average value of the three samples were taken. For example, the average value of the three specimens- A1, A2, and A3 was taken as A and so on. Fibre additive influenced the aeration process of Autoclaved aerated concrete by increasing the rising/aeration time by 8%. The investigated fibre additive increases the compressive strength by 0%, 10%, 24% and 13.8% respectively to the added fibre contents of 0%, 0.1%, 0.2%, and 0.3% respectively. The optimal content of Alkali-Resistant Glass Fibre additive to be added for obtaining the highest compressive strength is 0.2%. Further investigations have shown a slight variation in density (about 0.2%) between the normal and modified Autoclaved aerated concrete blocks. 03 30 2020 3508 3513 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8478.038620 https://www.ijrte.org/portfolio-item/F8478038620/ Asstt. Professor, Vaish College of Engineering, Rohtak, India Sandeep Singh* Dr. Umesh Gupta Associate Professor, Vaish College of Engineering, Rohtak, India Dr. Ankit Bansal Associate Professor, Vaish College of Engineering, Rohtak, India This paper throws light on the research of the outcome of breadth of glazing material such as glass on the flat plate solar saver presentation. There are 4 models of the solar saver comprised with varying thickness of glass which are investigated experimentally. The area of the collector fabricated is 0.72x0.15 meters. The thickness parameters considered in the study is low glass iron having the values of 2mm, 3mm, 4mm and 5mm. these materials are used as the glazing material in the present setup. The performance regarding the collector was evaluated and contrasted with the 5mm thickness glass. The result depicted that thickness material having 4mm value has the best results in the time duration considered in the study from morning 7:30 am to evening 6 pm. The effectiveness calibrated showed that 4mm glass gave 35.98% in comparison to the 5mm which incorporated 28.2%. 03 30 2020 5787 5793 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8480.038620 https://www.ijrte.org/portfolio-item/F8480038620/ ECE dept. National Institute of Science & Technology (NIST), Palur Hills, Golanthara, Berhampur, Odisha, India. Asit Kumar Panda* In this paper, a novel method to achieve tri-band performance for both reduced and conventional size circular microstrip patch antenna (CPA) loaded with low loss metamaterial unit cell is presented. The proposed tri-band CPA is based on metamaterial structure called complementary skewed omega type resonator (CSOR). The conventional CPA operating with 5.1GHz loaded with a pair of symmetric CSORs on the ground plane excites three working frequencies. Beside miniaturization, this work mainly focuses on multiband operation with performance enhancement of the circular patch antenna Numerical simulation of the proposed antenna appears that the operating frequencies of each band can tune separately. Good matching and stable radiation pattern with a satisfactory gain is achieved in the working frequency band. A good concord between simulation and measurement results validate the design method. 03 30 2020 3008 3012 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8484.038620 https://www.ijrte.org/portfolio-item/F8484038620/ Department of CSE, Meerut Institute of Engineering and Technology, Meerut, India. Manishka Gautam* Himanshu Sharma Department of CSE, Meerut Institute of Engineering and Technology, Meerut, India. Mayank Chauhan Department of CSE, Meerut Institute of Engineering and Technology, Meerut, India. Himanshu Shukla Department of CSE, Meerut Institute of Engineering and Technology, Meerut, India. Nidhi Tawra Department of CSE, Meerut Institute of Engineering and Technology, Meerut, India. The proposed design will present a new recommendation system for alumni association, which suggests friends to users based on their location and skills. The alumni can thus connect quickly and effectively with their peers. The project aims to connect the students, alumni and faculty through a single network where they can thus connect and collaborate for further ventures. The system provides the platform for students to gain momentum with respect to their career. The project aims towards giving a platform to the college authority which does not only serve the purpose of displaying college activities but is a full-fledged social network which includes suggestions based on graph database. It does not use any machine learning or data science algorithm but is purely algorithmic in approach 03 30 2020 2518 2520 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8486.038620 https://www.ijrte.org/portfolio-item/F8486038620/ Department of Electrical and Mechanical Engineering, Univ. Hassan 1, Settat, Morocco. Youssef Maher* Boujemaa Danouj Department of Electrical and Mechanical Engineering, Univ. Hassan 1, Settat, Morocco. Deep Learning (DL) has contributed a lot in the field of industrial maintenance, in particular predictive maintenance by detecting potential failures and breakdowns before their appearance. Unfortunately, the DL has some limitations like the need for a large amount of data to produce an effective prediction model and also the fragility of the model in the face of changes in operating conditions. Another approach, the Transfer Learning (TL), had demonstrated in the literature that he can overcome these weaknesses. In this article, we will be using this technique with the pretrained neural network, AlexNet, which had been previously trained with the ImageNet database. Our method doesn’t require a high amount of input data and thus saves a lot of time in retraining the network in another task, which can be related or unrelated to the source task. In fact, the prediction model was successfully adapted to the bearings diagnosis case. It showed also high degree of robustness against changes of functioning conditions. 03 30 2020 2715 2720 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8489.038620 https://www.ijrte.org/portfolio-item/F8489038620/ Assoc. Professor, Department of ECE, Vidya Jyothi Institute of Technology, Hyderabad, T.S., India. Shaik Maznu* Dr. I. A. Pasha Professor, Department of ECE, B.V.R.I.T, Narsapur, Medak Dist., T.S., India. Dr. P. Chandrasekhar Reddy Professor, Department of ECE,JNTUH College of Engineering, Hyderabad, T.S., India. Since the advantage of pulse compression radar, the pseudo random codes and poly time codes and non linear frequency modulation has been mostly widely used low probability intercept (LPI) radar waveforms. By changing frequencies time to time in frequency modulation known as non-linear frequency modulation (frequency hopping (FH)), peak to side lobe ratio (PSLR) can be achieved to make less severe the covering effect of nearby targets and to improve the useful dynamic range. Adding an appropriate binary encoded ternary phase shift signal (PSK) as form as Binary encoded Hybrid-PSK/FSK (BEH PSK/FSK), the peak side lobe ratios are obtained very low values (e.g., PSLR<-70dB), similar to the antenna side lobes. In advanced microwave power amplifier technology, now a day’s using low peak to average power modules requires them to be amalgamated at the radio frequency (RF) stage in that way to obtain the required emitted radiated power. The deterministic waveforms are represents Noise waveform radar technology is a valid alternative. The pseudo-random waveform-realization of a noise process, the higher its bandwidth-time (or BT) product, the lower the (numerical) peak side lobe ratio. With practical Bandwidth-time values, the achievable peak side lobe using pure random is not sufficient the generated pseudorandom waveforms undergoes optimized genetic algorithm Hamming Scan (HS) to achieve optimized pseudo random (OBC), in order to achieve the desired side lobe level. This manuscript proposes a general analysis of the two modes of radar waveforms, i.e., Ternary and Binary alphabetic waveforms of coincidence detection. 03 30 2020 2753 2760 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8492.038620 https://www.ijrte.org/portfolio-item/F8492038620/ 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 Department of CS Banasthali Vidyapith Rajasthan, India. Dermatology is a medical field that treats skin health and diseases. People feeling disease symptoms of an affecting the skin must consult a dermatologist if this stipulation does not respond to home remedy. Early detection and treatment can correct most skin disorders. Basal Cell Carcinoma (BCC), Melanoma and Squamous Cell Carcinoma (SCC) are typically appearing type of skin cancers. The purpose of this effort is to provide a system that can be deployed to classify dermatoscopic images to predict skin diseases with early detection and higher accuracy . This work is a concrete effort to accomplish higher degree of accuracy for clinical usage by implementing advances in soft computing and image processing like deep learning and in-depth neural networks in an early stage for 7 class classification for HAM10000 dataset. 03 30 2020 3929 3933 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8498.038620 https://www.ijrte.org/portfolio-item/F8498038620/ Assistant Professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Ms. Saranya D* Akriti Student, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Oviya Sivakumar Student, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. S.S. Sanjay Krishnan Student, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. The conventional algorithms related to the Artificial Neural Networks (ANN) have some innate shortcomings, similar to the probability of categorizing in native maximum outcome, which possess reduced speed in the learning procedure, thereby contributing to the failure in seeing a productive cell arrangement. To overcome this lacking factor, this given paper proposes a Neural Network Classifier (NNC) built combining the features of the Beetle Antennae Search (BAS) formula, termed BASNNC and Fuzzy Set Theory, which is a research and analysis proposal that can deal with problems relating to inconclusive, subjective and vague judgments. To enhance the weights of the NNC, the BAS formula is used. BASNNC consists of a three-layer structure- an input layer, a hidden layer and an output layer. The aim is to develop novel neural network that combines the significant features of Neural Network and the Fuzzy Set Theory into a common network. This process aims to get the efficient result while eliminating the errors. The objective will be to develop the system that achieves high accuracy results with the computational complexity, using the pattern classification. A pattern can be viewed physically or mathematically by the application of algorithms. To find results for a given set of observations, pattern classification is used. Quite differing from the normal technique employing the concept of gradient descent, the differences between the hidden and the output layers area are enhanced by the BAS formula, that successfully improves the process and gets the desired results. The domain used in the procedure is Artificial Intelligence (AI). 03 30 2020 4870 4875 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8499.038620 https://www.ijrte.org/portfolio-item/F8499038620/ Student, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. S. Shriram P. Sai Prasanth Student, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Meghna Anand Student, Department f Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Nowadays urban residents, especially ones in the city are more aware of air quality and how it can affect their health. Due to the limitation of spare sense nodes, the air quality information is very coarse in resolution that is not greatly understood nor accepted by the community. The demand for better resolution, information and prediction of air quality in these areas has brought us to this solution. Our proposed system gives us a real-time and fine-grained data map of the air quality in the city by using crowdsourced automobiles as well as their built-in sensors, which significantly improves the feasibility and practicability of the system in a more dynamic way. By using LoRa WAN network, we can increase the range without worrying about the amount of sensor data to be transmitted. Once the data from the sensors is obtained, it is sent to the cloud through a base station where the data is processed using various algorithms and a fine-grained air quality pollution map of the city is generated to help understand the air pollution levels properly. 03 30 2020 2521 2525 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8501.038620 https://www.ijrte.org/portfolio-item/F8501038620/