-74813b3e17f460286df-75dd 20220310012102724 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 07 30 2020 9 9 Assistant professor, Dept. . Of Computer Science & Engineering, BMSIT&M. Prof.Jagadish P* Prof.Anand R Assistant professor, Dept. . Of Computer Science & Engineering, BMSIT&M Dr.Chethan A S Professor and HOD, Dept. Of Mathematics ,BMSIT&M Natural scene text is broadly observed in our everyday life and has countless imperative multimedia applications. Natural scene text typically show signs of outsized discrepancy in font and languages but endures from low resolution, occlusions and intricate background. An android based application Smart Eye which works in offline mode is proposed here for text detection which robustly perceives the text in natural images in real time and translates the text present in image to speech which can assist people with vision disability. The spoken is also converted to text which can aid people with hearing disability. 07 30 2020 193 195 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3471.079920 https://www.ijitee.org/portfolio-item/F3471049620/ Research Scholar, Department of Computer Science, Bharathiar University, Coimbatore, INDIA. F.Jasmine Natchial* Elango Parasuraman Assistant Professor, Department of Information Technology, Perunthalaivar Kamarajar Institute of Engineering and Technology, Karaikal, INDIA Data streams pose several computational challenges due to their large volume of massive data arriving at a very fast rate. Data streams are gaining the attention of today’s research community for their utility in almost all fields. In turn, organizing the data into groups enables the researchers to derive with many useful and valuable information and conclusions based on the categories that were discovered. Clustering makes this organization or grouping easier and plays an important role in exploratory data analysis. This paper focuses on the amalgamation of two very important algorithms namely Density Based clustering used to group the data and the dissimilarity matrix algorithm used to find the outlier among the data. Before feeding the data, the algorithm filters out the sparse data and a continuous monitoring system provides the frequent outlier and inlier checks on the live stream data using buffer timer. This approach provides an optimistic solution in recognizing the outlier data which may later get reverted as inlier based on certain criteria. The concept of DenDis approach will pave a new innovation world of considering every data which “May Get Life in Future”. 07 30 2020 101 107 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3593.079920 https://www.ijitee.org/portfolio-item/F3593049620/ Babaria Institute of Technology, Vadodara, India. Hetal M Pathak* Shweta N Shah National Institute of Technology, Surat, India. The greatest challenges to RF power devices are to match impedance for coupled network. Many causes for improper impedance results in cable loss, reflection losses and hence reduce the performance of existing system. An Impedance tuner is designed for testing prior to final set up to get satisfactory output with saving time. In modern communication systems many technologies are adding relay coils and other compensating passive components. In this paper, an impedance matching tuner is designed for multiband application with compact and cost effective structure. The characteristics of fabricated tuner is designed for 50 ohm matching two port network .The designed Electro mechanical tuner is manually characterised on the basis of experimental results to validate the system. The results suggest that it works for multiband sub GHz, Bluetooth sensor application. 07 30 2020 11 13 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3836.079920 https://www.ijitee.org/portfolio-item/F3836049620/ Assistant Executive Engineer, Department of Kerala Public Works, Kerala, India. Shajeev S.* Bino I. Koshy Professor, Amal Jyothi College of Engineering, Kanjirappally, Kerala. The flexible pavements often do not live up to the designed period due to various reasons, including the addition of petroleum diluents in the bituminous mix. The presence of petroleum diluents in the bituminous mix changes the properties of the bitumen binder as well as the mix. In hot mix plants, kerosene is used as a fuel for heating the aggregate and a little quantity of the kerosene sometimes gets mixed with aggregate in unburned condition. With the presence of petroleum diluents, the bitumen becomes less viscous and the mix becomes softer even after the normal hardening period of the bitumen. This study was conducted to evaluate the property changes in bitumen as well as in mix with the presence of kerosene including Rolling Thin Film Oven (RTFO) short ageing test. A performance study also conducted for the durability of the mix. 07 30 2020 668 673 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5445.079920 https://www.ijitee.org/portfolio-item/G5445059720/ Associate Professor, Dept. of Computer Science Engineering, SCSVMV (Deemed University), Kanchipuram, India. Mr. N. Kumaran* P. Surya Sampath UG Student, Dept. of Computer Science Engineering, SCSVMV (Deemed University), Kanchipuram, India. P. Saran satya kumar UG Student, Dept. of Computer Science Engineering, SCSVMV (Deemed University), Kanchipuram, India. Time series survey and forecasting upcoming values has been a research focus past years ago. Time series analysis and predict The time-series data finds its importance in various roles of implementation such as business, stock market exchange, weather forecasting, electricity demand, cost and usage of products such as fuels, etc. In this project, a detailed survey of the various techniques applied for forecasting different method of time series datasets are provided. Moving average model and Auto-Regressive Integrated Moving Average model with a case study on food predictive analysis time series data with R software. 07 30 2020 14 17 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5610.079920 https://www.ijitee.org/portfolio-item/G5610059720/ Azerbaijan State Oil and Industry University Baku, AZ1010, Azerbaijan, 20 Azadlig Avenue Shixaliyev Kerem Seyfi* Amirov Fariz Ali Azerbaijan State Oil and Industry University Baku, AZ1010, Azerbaijan, 20 Azadlig Avenue As result of the modification of polyolefin, composite materials based on them were obtained for the use in special equipment in order to entrain their heat resistance. Data analysis DTA (differential thermal analysis) of the DTA curve of this polyethylene sample suggests a bimodal nature of their MWD (molecular weight distribution) which differs from polyethylene with unimodal MWD and a series of endo oxidation effects with a maximum temperature of 245, 335, 358 and 435 °С. X-ray structural studies showed that the crystal system and the size of the unit cells of the crystal lattice of LLDPE practically does not differ from those of LDPE. LLDPE as well as LDPE and HDPE has a layered structure with dense packing of macromolecules. In terms of crystallinity and crystallite sizes, LLDPE are on par with HDPE and significantly differ from LDPE. These data are in agreement with published data. The parameters of the unit cells of the crystal structure of UHMWPE are close to those of LLDPE, and by crystallinity it occupies middle ground between HDPE and LLDPE. 07 30 2020 348 352 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5721.079920 https://www.ijitee.org/portfolio-item/G5721059720/ Electrical Engineering Dept., Gautam Buddha University, Greater Noida, India. Purnima Jaiswal* M. A. Ansari Electrical Engineering Dept., Gautam Buddha University, Greater Noida, India. Nidhi Singh Pal Electrical Engineering Dept., Gautam Buddha University, Greater Noida, India. Nivedita Singh Electrical Engineering Dept., Gautam Buddha University, Greater Noida, India. Mohd. Najeeb Electrical Engineering Dept., Gautam Buddha University, Greater Noida, India. Recognition and arrangement of current-voltage, power fluctuations are critical functions for the safety of the power system (PS). Many perturbations of power quality (PQ) are unpredictable and ephemeral, and the demand for voltage and current recognition and arrangement is confirmed. By using Fast Fourier transform, expert systems, and neural networks, certain intelligent system technologies dominate fault analysis. As expected, there are five types of issues that include sag and swell, ripple, transient fluctuation, interruption and natural waveform. In this paper, we study the transmission line faults for voltage drop, voltage swell, and transient voltage. Power supply and traffic transmission leakage have been major problems for electricity providers and consumers. Much of the disturbance is non-stationary and intermittent, needing specialized methods and techniques for PQ disturbance research. This article provides a full collection of MATLAB / Simulink models to simulate different energy efficiency disturbances. This paper implements power quality disturbance in the model Matlab/ Simulink. The model provided can be used to simulate various disturbances of energy quality and waveforms for analysis and research into power quality, and to help to develop educational programs and understand the energy quality. This would concentrate on what are PQ problems and current approaches to evaluate and classify such problems. 07 30 2020 108 116 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6411.079920 https://www.ijitee.org/portfolio-item/H6411069820/ Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India. Darshan Labhade Nikhil Lakare* Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India. Aniket Mohite Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India Siddhesh Bhavsar Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India. Sushma Vispute Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India. Predictive analytics is the examination of concerned data so that we can recognize the problem that may arise in the near future. Manufacturers are interested in quality control, and making sure that the whole factory is functioning at the best possible efficiency. Hence, it’s feasible to increase manufacturing quality, and expect needs throughout the factory with predictive analytics. Hence, we have proposed an application of predictive analytics in manufacturing sector especially focused on price prediction and demand prediction of various products that get manufactured on regular basis. We have trained and tested different machine learning algorithms that can be used to predict price as well as demand of a particular product using historical data about that product’s sales and other transactions. Out of these different tested algorithms, we have selected the regression tree algorithm which gives accuracy of 95.66% for demand prediction and 88.85% for price prediction. Therefore, Regression Tree is best suited for use in manufacturing sector as long as price prediction and demand prediction of a product is concerned. Thus, the proposed application can help the manufacturing sector to improve its overall functioning and efficiency using the price prediction and demand prediction of products. 07 30 2020 196 199 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6465.079920 https://www.ijitee.org/portfolio-item/H6465069820/ Department of Computer Science Engineering, Manipal Academy of Higher Education, Dubai, UAE. Anamika Kannoly* Samiksha Arun Department of Computer Science Engineering, Manipal Academy of Higher Education, Dubai, UAE. Ganesan Subramanian Assistant Professor School of Engineering and IT, Manipal Academy of Higher Education, Dubai, UAE. Voting is important for any democratic country. It can be considered as one of the major factors that make a government for the people and by the people. The most common methods of voting that currently exist are ballot-based voting, purely electronic methods, and Electronic Voting Machines, among others. Over the years, it has been a challenge to build a secure E-voting program that provides the privacy of current voting systems while offering a means of accountability and versatility. Using blockchain technology and cryptography we can make the process of elections as open and cost-effective as possible. In this review paper we discuss a new, blockchain-based electronic voting system that addresses some of the limitations in existing systems and evaluates some of the popular systems designed to create a blockchain-based e-voting system. 07 30 2020 117 122 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6515.079920 https://www.ijitee.org/portfolio-item/H6515069820/ Department of Civil Engineering, Integral University, Lucknow, India. Naved Ahmed* Rajeev Banerjee Executive Engineer, Municipal Engineering Directorate, Govt. of West Bengal, India. As the population is growing and land becomes limited and new materials and construction technologies are built together, structural structures of this nature are growing larger and smaller, which are prone to two types of dynamic forces, tectonic drags and wind powers. In developing countries like India the exponential growth of the urban population has prompted a reassessment of the value of high – rise irregular buildings. For the construction of high - rise irregular buildings, the impact of gust loads is to be remembered. In India, gust caused numerous structural failures. IS 875:2015 Part-3 considers the gust loads on various kinds of irregular structures and IS 1893 (Part-1):2016 recognizes tectonic drags. The study focuses on peculiar constructions of different aspect ratios i.e. the impact of tears and tectonic drags. H / B ratio, with H being the overall construction system height; and B being the base width of the structure frame using STADD , Structure mass irregularities using E-TABS; from this paper we are examining the impact of wind (gusts), seismic (tectonical) load on building height by changing the number of floors with a the aspect rate. H / B ratio Many researchers design a system that is immune to tectonic drags, but the tectonic drag framework can not be built without causing damage. A large proportion of existing urban infrastructure is composed of vertical irregular structures. 07 30 2020 427 439 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6620.079920 https://www.ijitee.org/portfolio-item/H6620069820/ Professor and HOD, FCA, MRIIRS Dr. Shaveta Bhatia* Ms. Vishawjyoti Assisyant Professor, FCA, MRIIRS Definition: -Using electronic devices and computers now days become more challenging as cyber crime has risen to another extant which has become a great challenge to control. Hackers, Trojans and other cyber tools may cause huge potential loss of wealth and money which can easily destroys an individual. Securing Information related to your facebook account is bit easier as it is a matter of an individual but on the other hand making a database secure and safe is a big and difficult task. 07 30 2020 200 203 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6689.079920 https://www.ijitee.org/portfolio-item/H6689069820/ Research Scholar, Department of Civil Engineering, PDA College of Engineering, Kalaburagi, Karnataka, India. Shubham Shukla* Vaijanath Halhalli Associate professor, Department of Civil Engineering, PDA College of Engineering, Kalaburagi, Karnataka, India. Lately, Tubular structures have been broadly utilized as structural key for tall structures in the field of structural engineering. Tubular structure of different types, are generally utilized because of their high solidness in opposing lateral loads, increase in the utilization of floor spacing and more economic in construction. The parametric analysis was completed on two 40-storey RCC buildings using the software ETABS. Here in this paper, the performance of Tube in Tube building and a moment resisting frame building will be investigated. The models are studied employing continuum approach in which the continual connecting means i.e. beams connecting vertical members and horizontal slabs are assumed to have equitably dispersed stiffness properties. Equivalent static method and Response spectrum method is applied and the analysis results of moment resisting frame and tube in tube buildings are studied to have a comparative analysis of their seismic performance. 07 30 2020 18 22 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6735.079920 https://www.ijitee.org/portfolio-item/H6735069820/ Assistant Professor, Department of Computer Science and Engineering, Mahatma Gandhi Institute of Technology Hyderabad, India. P. Poornima* Mayur Vastari Student, Department of Computer Science and Engineering, Mahatma Gandhi Institute of Technology Hyderabad, India. Location Based Services anticipate that customers should continually report their zone to a possibly untrusted server to get organizations reliant on their territory, which can open them to security risks. Tragically, existing security defending strategies for LBS have a couple of requirements, for instance, requiring a totally trusted in outcast, offering confined insurance confirmations and realizing high correspondence overhead. In this errand, A customer portrayed security organize structure called dynamic grid system (DGS) is proposed; the important sweeping structure that fulfills four central requirements for insurance shielding delineation and industrious LBS. The structure just requires a semi-trusted in outcast, at risk for doing clear planning undertakings viably. This semi-accepted pariah doesn't have any information about a customer's region. Secure delineation and steady zone assurance is guaranteed under the described enemy models. The correspondence cost for the customer doesn't depend upon the customer's optimal insurance level, it just depends upon the amount of huge central focuses in the area of the customer. Notwithstanding the way that the consideration is on range and k-nearest neighbor requests in this work, This structure can be easily connected with assistance other spatial inquiries without changing the estimations run by the semi-trusted in outcast and the database server, gave the essential interest an area of a spatial request can be engrossed into spatial regions. Experimental results show that the DGS is more productive than the best in class protection saving strategy for LBS. 07 30 2020 23 26 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6738.079920 https://www.ijitee.org/portfolio-item/H6738069820/ Computer Science and Engineering, National Engineering College, Kovilpatti, Tamilnadu, India Prof. Dr. S. Maheswari* Alsameema. A Computer Science and Engineering, National Engineering College, Kovilpatti, Tamilnadu, India Anupriya. E Computer Science and Engineering, National Engineering College, Kovilpatti, Tamilnadu, India Elakhia. M. R. Computer Science and Engineering, National Engineering College, Kovilpatti,Tamilnadu,Indi Jaya Meera B. Computer Science and Engineering, National Engineering College, Kovilpatti,Tamilnadu,India The government launches various ambitious programs to make the country more prosperous, but they fail in successful implementation. The main reason behind this issue is the lack of awareness among rural people. This project is to provide a solution to this unaware situation. Through this system, rural students will get to know about what are the various schemes that are furnished by the government. Initially, this system will explore government schemes that are available for the welfare of rural students. Next, the student's datset ((i.e.) name, age, caste, occupation, annual income, etc.) are collected. Then both the datasets are imported into the Anaconda Navigator. Later analysis and classification are done based on communities (SC, ST, BC MBC, and DNC), Educational category (Pre-metric/Post-metric), Board of education (Government/Government-aided), Day scholar or hosteller, age of the students and the schemes are predicted. 07 30 2020 242 246 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6773.079920 https://www.ijitee.org/portfolio-item/H6773069820/ Assistant Professor, Department of Computer Engineering JSPM’S ICOER, Pune, India. Kaushlya Salunkhe* Dr. Yogeshkumar Sharma Head / Research Coordinator, Department of Computer Science and Engineering, Shri JJT University, Chudela, Jhunjhunu Rajasthan, India. Dr. Parul Arora Professor and IQAC Head, Department of Computer Engineering, JSPM’S ICOER, Pune, India. Electronic devices are increasing rapidly nowadays. Today maximum electronic devices are operated on battery. They all need to be charge frequently to restore their working. In present day wired chargers are used for charging all electronic devices. Use of electronic devices is increasing rapidly, due to that long battery life is become today’s need. It is required to empowered batteries once in a while. When there is no electrical fitting around, it is not possible to charge or change the battery. The expansion for Wireless Energy Transmission or Wireless Power Transmission/Transfer (WPT) is increased electronic progression. WPT systems are used to transmit power/ (electronic energy) without using wires. Remote information transfer is expected to have tremendous applications in future. Distributed system gives remote information and energy access to all electronic devices simultaneously. We study a multiuser numerous information single-yield communicate framework and build a multi-receiving wire passage sends remote verification and Power. Authorised user can access the power transmitted by Transmitter. Distributed power transmission reduces with increase in distance. Bandwidth remains same up to certain distance. 07 30 2020 27 33 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6782.079920 https://www.ijitee.org/portfolio-item/H6782069820/ Research Scholar, Faculty of S&H(Computer Applications), Sathyabama University, Chennai, India. Ambikavathi* S. K. Srivatsa Professor (Rtd.), MIT, Anna University, Chennai, India. Intrusion detection system (IDS) security model is successfully utilized in static, distributed and dynamic network environments. Generally IDS needs a classification method for the decision of normal and abnormal events. This classification task is based on a set of features and massive amount of samples. However, all the features do not contribute the same level of prediction during classification. Hence feature selection (FS) has to be done before classification to select best features. Random forest (RF) does the dual role of FS and classification. Experiments have been done to prove that RF is the best classifier among other machine learning (ML) algorithms such as SVM classifier and C5.0 decision tree algorithm. However, the default parameter values of RF are not well suited for distributed environments such as cloud. It leads to poor accuracy and less efficiency in intrusion detection since enormous events have to be analyzed. So the parameters of RF have to be optimized by an efficient method. The important parameters of RF are number of trees, maximum depth of a tree, sample size, number of features considered to split a node (Mtry), node size and maximum leaf nodes. Among these parameters the hyper parameters are selected based on three decision factors, randomness; split rule; tree complexity. The issues to be considered during parameter tuning are to avoid over-fitting and under-fitting. Therefore Simulated Annealing (SA) is utilized for tuning these hyper parameters of RF which leads to improve detection accuracy and efficiency of IDS. The idea of using SA for parameter optimizing process is to avoid those issues since it never struck in local optimum. The proposed system significantly boosts the results of IDS. The efficiency of the proposed SA-RF is validated using CICIDS2017 dataset. 07 30 2020 353 358 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6799.079920 https://www.ijitee.org/portfolio-item/H6799069820/ Department of Computer Engineering, Kalinga Institute of Industrial Technology, [Deemed To Be University], Bhubaneswar, India Prachi Vijayeeta* M. N. Das Department of Computer Engineering, Kalinga Institute of Industrial Technology, [Deemed To Be University], Bhubaneswar, India. B. S. P. Mishra Department of Computer Engineering, Kalinga Institute of Industrial Technology, [Deemed To Be University], Bhubaneswar, India. A new dimension in the field of computational intelligence was introduced in the late nineties to comprehend a vivid combination of several multi-disciplinary areas. The coalescence biology along with data mining and statistical learning have given birth to Bioinformatics that provides various paradigms for studying the behaviour of unknown patterns at the micro level. In the present work, a recently developed human inspired optimization algorithm called search and rescue (SAR) optimization is employed with an improved version of parameters using Chaos theory. CSARO (Chaotic search and rescue optimization algorithm) unlike other existing algorithms has proven to be a better choice for optimising the gene selection mechanism as well as the control parameters of the learning model. This hyper heuristic algorithm obtained by the inclusion of chaos in SAR mainly aims at enhancement of its global search mobility and prevents from getting trapped in the local optimum. A comparative study with other existing techniques on seven benchmark datasets is performed. The performance of the algorithm is tested using evaluation metrics. 07 30 2020 34 43 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6803.079920 https://www.ijitee.org/portfolio-item/H6803069820/ School of Water Resources Engineering, Jadavpur University, Kolkata India. Anshuman Pal* Pankaj Kr. Roy School of Water Resources Engineering, Jadavpur University, Kolkata India. Waste generation prediction is a vital component to planning of rural solid waste management. Based on the past statistical data mathematical model can be develop but incorporation of new data cannot be done. In this situation advance model need to be developed, which can predict. Fuzzy logic may be one option for develop such model because dynamic and linguistic date can be used as an input parameter. A mathematical model has been developed to predicting the total. Rural waste generation using fuzzy logic if west Bengal study area. House hold, population, per capita income, district wise domestic product, literacy rate were considered as an independent variable for predicting rural solid waste generation. To described the dependent and independent variable triangular and trapezoidal shaped membership function are used. To described the defuzzification centroid method has been applied. Initially two input variables have been used to identify the correlation with rural solid waste generation Finally all input variable considered for the mathematical model. Per-capita waste generation in rural west Bengal average 150 to 300 gm/day. The statistical analysis rebuilds that age group wise population and income model is the best fitted model. 07 30 2020 44 49 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I6829.079920 https://www.ijitee.org/portfolio-item/I6829079920/ Department of ECE, Lendi Institute of Engineering & Technology, JNTU Kakinada, Vizianagaram India. Dr A. V. Paramkusam* M. Geetha Department of ECE, Lendi Institute of Engineering & Technology, JNTU Kakinada, Vizianagaram India. K. Sailakshmi Department of ECE, Lendi Institute of Engineering & Technology, JNTU Kakinada, Vizianagaram India. M. Mohansai Department of ECE, Lendi Institute of Engineering & Technology, JNTU Kakinada, Vizianagaram India. L. Sowmya Department of ECE, Lendi Institute of Engineering & Technology, JNTU Kakinada, Vizianagaram India. Securing the data of patient and keeping the information confidential has become a challenging task at present days. More number of chances are available for information alteration or security breach. When the information is transferred from source to destination digital image watermarking technique is most commonly used to secure the patient’s information watermarking provides the copy right protection, authentication proof and detection of tampering. This paper presents a watermarking technique to embed patient’s information in a medical image so that information can be transferred securely and information alteration would be prevented. An Arnold Chaotic Map is applied to the sensitive watermark image to scramble the pixels in the sensitive watermark image. The cover medical image is partitioned into non overlapping blocks and DCT is applied to each block. Each and every bit of the watermark image is embedded into block by using Weber Descriptor. By using this Weber Descriptor robustness of an image will be increased. An experimental result shows that the proposed algorithm improves the robustness against various attacks like compression, filtering and noising. 07 30 2020 50 56 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I6845.079920 https://www.ijitee.org/portfolio-item/I6845079920/ MCA, Parul University, Vadodara, India. Ms. Samiksha H. Zaveri* Dr. Kamini Solanki Ph. D. ,MCA, Parul University, Vadodara, India. There are different machine learning techniques widely used in medical field to diagnosis and to predict the liver disease. To endorse the analysis of high and multi dimensional data in health care industry we have reviewed various research papers in which we have focused on various Data mining methods for making use of data in regard to this we come out with, assessment for chosen research papers. Hence, the Objective of this study is to improve the diagnosis and Prediction of the liver disease with the machine learning algorithms. In our paper we suggested that hybrid of Decision Tree and Navie Bayes can give better result with good accuracy. 07 30 2020 57 59 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I6876.079920 https://www.ijitee.org/portfolio-item/I6876079920/ Department of Computer Science, Himalayan University, Arunachal Pradesh, India. Razauddin* Dr. Almas Sabir Management College of Business Administration, University of Hail, Hail, Saudia Arabia. This article gives a prologue to artificial intelligence, apply autonomy, and research streams that analyze the monetary and hierarchical outcomes of these and related innovations. We depict the beginning examination of human-made brainpower and mechanical technology in the financial matters and the board writing and sum up the principal methodologies taken by researchers around there. Investigations of AI and mechanical innovation based on their speculation and assessment on builds of computerization, apply self-rule and machine learning. In this array of composing, the use of robotization, human-made intellectual prowess, and AI developments can be used both as free and as destitute elements. While AI, mechanical autonomy, and motorization are related thoughts, it is fundamental to think about the separation between all of these developments. In this investigation, there is additionally creating writing in monetary issues, methods, and information systems that surveys the use of AI estimations in unique. A touch of the creator in this forming utilize truncated, little extension level information to attract experiences concerning how AI impacts firms or people contingent on their aptitudes part of this work examines whether and how the use of AI and AI mechanical assemblies affects solitary inclinations. Further in the exploration, progressively express to the board analysts, we need a point by point understanding about how AI and mechanical self-governance impact work. It fuses not precisely how AI and mechanized innovation change a given sort of work or occupation, yet also how modernized thinking and apply independence impact how individuals associate in the workplace. That is, we theorize that these headways will change the kind of work that we do, and how that work is arranged and made as a massive part of an increasingly conspicuous creation structure. We examine the ramifications of artificial intelligence, robotics, and computerization for the hierarchical plan and firm method, contend for more outstanding commitment with these points by authoritative and technique specialists, and diagram bearings for future research. 07 30 2020 60 68 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I6877.079920 https://www.ijitee.org/portfolio-item/I6877079920/ Department of Computer Applications, RV College of Engineering, Bangalore, India. Ms. Thikshaya M* Mr.Vishal C Assistant Professor, Department of Computer Applications, RV College of Engineering, Bangalore, India. Image classification is a process where images are classified based on its visual content. It came into existence to reduce the gap between computer vision and human vision. To classify the images, humans involve lot of efforts and it is time consuming, in order to overcome this, technique such as convolutional neural network and random forest is being used. Convolutional neural network is a class of deep neural network and it is most commonly used for analyzing the images. Random forest is classification algorithms which consist of many independent decision trees. Auto encoding technique is being used to denoise the image. Image inpainting technique is adopted to come up with a complete image which contains missing parts. Image inpainting technique is a process to overcome overfitting. 07 30 2020 69 73 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I6887.079920 https://www.ijitee.org/portfolio-item/I6887079920/ Dept. of ECE, Vidyavardhaka college of Engineering, Mysuru, India. Arun G* Chaitra N Dept. of ECE, Vidyavardhaka college of Engineering, Mysuru, India. Divin Ganapathi T Dept. of ECE, Vidyavardhaka college of Engineering, Mysuru, India. Kavana Dept. of ECE, Vidyavardhaka college of Engineering, Mysuru, India. Kiran Kumar Humse Dept. of ECE, Vidyavardhaka college of Engineering, Mysuru, India. In this paper we discussed about different types of techniques used to design mixer, VGA and PLL circuits for Software Defined Radio (SDR). Software Defined Radio is a type of radio wherein some of the conventional hardware component is replace by a software component making it more versatile. Here we are concentrating on the hardware component of SDR. Various techniques in CMOS technology is reviewed here for example two stage amplifier, cascading of VGA blocks, PLL as a clock generator and conventional fine loop are discussed. By using CMOS technology, the IC chips can be developed within a small area and also power optimization can also be done. 07 30 2020 74 78 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I6890.079920 https://www.ijitee.org/portfolio-item/I6890079920/ Department of Civil and Hydraulic Engineering , Faculty of technology, Tahri Mohammed University – Bechar. BP 417-(08000),Algeria FIMAS laboratory Nasser Dine Hadj-Djelloul* Mohammed Djermane Department of Civil and Hydraulic Engineering , Faculty of technology, Tahri Mohammed University – Bechar. BP 417-(08000),Algeria FIMAS laboratory Noor Sharari Department of Civil Engineering,University of Technology Sydney, Sydney, NSW, Australia, Soufiane Merabti Department of Mechanical Engineering, University of Tahri Mohamed, Béchar, BP 417-(08000),Algeria ENERGARID laboratory Elevated tanks are considered very sensitive to seismic excitations. That is why several researchers have studied the performance of these structures under seismic loading. The elevated tanks support‘s design are the most responsible reason of the damages and failures of this kind of structure . In this present paper, we are used the finite element technique to study the seismic response of them with taking into account the interaction between fluid and structure in the presence of sloshing. Modal and transient analysis are carried out on two types of the elevated tanks support, while keeping the same quantity of concrete and the same fluid volume. The displacements at the top of the tank and The fundamental period of the impulsive mode of the elevated water tank with shaft support decreased compared to the elevated water tank with frame support .The obtained results confirm the supporting system effect on dynamic behavior of elevated water tanks . 07 30 2020 123 127 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I6898.079920 https://www.ijitee.org/portfolio-item/I6898079920/ Department of Mechanical Engineering, Global Academy of Technology, Bengaluru, India. Ghaleppa B* Suraj N Hiremath Department of Mechanical Engineering, Global Academy of Technology, Bengaluru, India. Dr. Rana Pratapreddy Department of Mechanical Engineering, Global Academy of Technology, Bengaluru, India. Increase in the demand for the alternative fuel for diesel engine as led to quest for feasible fuel with competitive cost and environmental friendly compared to petrolium fuel. This article deals on waste energy recovery. The aim of this experimental work is to find an attractive alternative fuel for the diesel engine by harnessing fuel from waste disposed oils. Waste Cooking Oil (WCO) and Waste Lubrication Oil (WLO) energy sources are used for fuel production. Collected WCO stored in a container, mixed and cleansed by removing solidified fats and other food leftovers before the transesterification. The acid followed by base catalyst transesterification processes carried out for biodiesel production. The WLO oil cannot be used directly in diesel engine and hence it is processed to be used like DLF using pyrolitic vacuum distillation method. The characteristics test such as flash point, fire point, density; viscosity and calorific value of the produced biodiesel, DLF, B10, B20, B30 and B40 were determined & compared with standards. Performance and Emission characteristics conducted in a single cylinder, free aspirated, water- cooled computerized diesel engine setup and results discussed. Results outcome shows that B30 exhibits the similar performance as pure diesel. The results show an improvement in brake specific fuel consumption, thermal efficiency. The unburned hydrocarbons, carbon monoxide emissions less but increase in the NOx. 07 30 2020 79 84 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I6914.079920 https://www.ijitee.org/portfolio-item/I6914079920/ Department of Cyber Security Systems and Networks, Amrita Vishwa Vidyapeetham University, Amritapuri Campus, Kollam, India. Cherukupalli Veda Vyasa Aditya* Dr. Rajesh Kannan Megalingam Assistant Professor, Department OF ECE, Amrita School of Engineering, Amrita Vishwa Vidyapeetham University, Amritapuri Campus, Kollam, India. Zero knowledge proof is a powerful cryptographic protocol that is utilized to establish data security whilst ensuring and maintaining user anonymity. ZKP has relatively less complex computational requirements as compared to the other protocols for authentication. Conventional authentication schemes are susceptible to attacks such as MiTM, IP spoofing, DoS, replay and other eavesdropping based attacks, when the data is shared across an untrusted network. This paper shows an approach to ensure authentication of a device over an untrusted network whilst maintaining and safeguarding user credentials, by using the concepts of ZKP protocol. 07 30 2020 238 241 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I6917.079920 https://www.ijitee.org/portfolio-item/I6917079920/ Department of Information Technology, MIT College of Engineering Pune, India. Sachin Devangan* Omkar Joshi Department of Information Technology, MIT World Peace University, Kothrud, Pune, India. Shanu Jaiswal Department of Information Technology, MIT World Peace University, Kothrud, Pune, India. Apratim Gholap Department of Electrical Engineering, MIT World Peace University, Kothrud, Pune, India. Dr Netra Lokhande Associate Professor, Department of Electrical Engineering, MIT World Peace University, Kothrud, Pune, India. In the past few years, the computational performance of smartphone devices has seen tremendous growth. Due to which the smartphone has become a suitable platform for various computer-vision based applications which earlier was not possible. In this paper, we study various methods through which we can achieve computer vision-based hand gesture recognition natively on smartphones. If smartphones can support hand gesture recognition it can provide a new way to interact with mobile devices and overcome the hurdles of voice and touch-based user interface improving the user experience at the same time also supports other gesture-based applications. The techniques we study are mainly vision-based since camera module is present on most of the smartphones and it does not require other additional sensors or other hardware. We have compared the various methods available based on algorithms used and corresponding accuracy. 07 30 2020 85 90 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I6939.079920 https://www.ijitee.org/portfolio-item/I6939079920/ Electrical and Electronics Department, G.L. Bajaj Institute of Technology and Management, Gr. Noida, India. Aditya Singh* Priyanka Datta Electrical and Electronics Department, G.L. Bajaj Institute of Technology and Management, Gr. Noida, India. Aman Patel Electrical and Electronics department, G.L. Bajaj Institute of Technology and Management, Gr. Noida, India. Aman Singh Electrical and Electronics department, G.L. Bajaj Institute of Technology and Management, Gr. Noida, India. Vikash Gupta Electrical and Electronics department, G.L. Bajaj Institute of Technology and Management, Gr. Noida, India. The purpose of this work is to introduce such project that can find and pause gas leakage in risky areas. A gas sensor was used mainly with high propane sensitivity and butane. The gas leak detection model has a Global System of Communication modulus, which warns owner by sending SMS. Gas leaks are a very big problem with the industries and residency areas. Top of these, most effective preventative measures allied with gas leaks is to establish a gas leak investigate system in high-risk areas. However, the prior gas leak system cannot retaliate later. This paper confers a hardware design approach. 07 30 2020 128 131 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I6951.079920 https://www.ijitee.org/portfolio-item/I6951079920/ Research Scholar, Civil Engineering Department, ITM University Gwalior, MP, India. Pradipta Kumar Brahma* Mukesh Pandey Professor, Civil Engineering Department, ITM University Gwalior, MP, India. Sohit Agarwal Assistant Professor, Civil Engineering Department, ITM University Gwalior, MP, India. Farhan Rahaman Assistant Professor, Civil Engineering Department, ITM University Gwalior, MP, India. The concept of sustainability for roof structure becomes most effective because slab consumes the highest amount of cement and steel in the building. This increases carbon footprint, which is a measure of the impact caused by the utilization of natural resources, eventually affecting the earth, and it becomes a subject of higher cost also. The objective of the paper is to find a safe, economical and sustainable roofing structure suitable for suburban and rural settlements. The literature survey carried out deeply and the potential is observed in tile vaulted structures. The core reasons behind adopting a vaulted structure are, it avoids using steel and concrete materials in construction, utilizes local labour, and low-cost local materials for construction. This predominantly becomes the primary factor in deciding the construction of an economical roofing structure for multiple dwelling units in rural and suburban settlements to provide a safe, sustainable and maintenance-free roofing system using tile vaulted structure. 07 30 2020 132 134 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I6960.079920 https://www.ijitee.org/portfolio-item/I6960079920/ Ph.D. Research Scholar, Centre for Project and Supply Chain Management, School of Management Studies, Punjabi University, Patiala, Punjab, India. Tigist Wolde Gebre* Dr. Rajwinder Singh Assistant Professor, Centre for Project and Supply Chain Management, School of Management Studies, Punjabi University, Patiala, Punjab, India. Supply chain (SC) rehearses assume a significant role for getting a competitive position in worldwide environment. This research study intends to explore the impact of SC practices/rehearses on the competitive advantage (CA) on account of the Brewery Industry in Addis Ababa (Ethiopia). Data for investigation were collected through field survey through questionnaire based on five-point Likert scale from 119 respondents from one industry. Current study employed the variance-based structural equation modeling (SEM) analysis by utilizing Smart-Partial least squares (PLS) 3.0 software for data analysis. The results showed that SCM practices have significant impact on competitive advantage. The results show that customer relationship and strategic supplier partnership are significantly and positively related to competitive advantage of the manufacturer but not relationship between information sharing and competitive advantage. The findings of the current study give experiences into mangers with respect to how to expand the SC rehearses for getting additional advantages. The outcome of this study analysis adds to the literature on SC practices by breaking down the impact of association between customer/client relationship, information/data sharing, and strategic supplier partnership on the CA towards a firm capacity in a particular Ethiopian Brewery Industry context. 07 30 2020 135 139 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I6961.079920 https://www.ijitee.org/portfolio-item/I6961079920/ Department of Civil Engineering, SRMIST, Chennai, Tamil Nadu, India. Ms. Susmita Chowdhury* Mr. S. Nanthakumar Assistant Professor, Department of Civil Engineering, SRMIST, Chennai, Tamil Nadu, India. Problematic soil which cause extra problems from engineering point of views which result in its composition or environmental conditions change. The weak subsoil deposits like soft clay pose the low bearing capacity and more settlements over long periods of time. The stone column technique is better, economical and cost-effective method of soft soil stabilization. They are used to support embankments, large raft foundations and isolated footings. Numerous researchers have just completed various vertical stacking probes stone column balanced out clay bed and have discovered that expands bearing capacity of delicate clay, diminishes displacement and changes the conduct of burden settlement. In the current study, a 2D finite element model is completed to evalute how the delicate clay soil balanced out by stone column are affected by the vertical burdens. Stone column were intended for examinations with fluctuating in their angle proportions (change in estimations of length, L and breadth, D) of stone column. The effect of floating stone column and end bearing stone segment on delicate clay is in like manner controlled by using various L/D ratios. Besides, the present outcomes express how the heap conveying limit of stone column is differed by changing in the angle proportions of the stone column. Likewise ends were drawn that bulging impact of stone column plays a vital role in conveying vertical burden. 07 30 2020 440 445 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I6968.079920 https://www.ijitee.org/portfolio-item/I6968079920/ Lendi Institute of Engineering & Technology, JNTUK, Vizianagaram, A.P, India. A.V. Paramkusam* A. Bharath Lendi Institute of Engineering & Technology, JNTUK, Vizianagaram, A.P, India. B. Ramya Lendi Institute of Engineering & Technology, JNTUK, Vizianagaram, A.P, India. G. Lavanya Lendi Institute of Engineering & Technology, JNTUK, Vizianagaram, A.P, India. B. Karthik Lendi Institute of Engineering & Technology, JNTUK, Vizianagaram, A.P, India. Sharp bend path location is one of the difficulties of visual condition discernment innovation for self-governing driving. Right now, new hyperbola fitting based technique for bend path recognition is proposed. The strategy for the most part incorporates three sections: extraction, bunching, and hyperbola fitting of path highlight focuses. We analysed our technique with the Bezier bend fitting based, the least squares bend fitting based, the spline fitting based techniques, and a current hyperbola fitting based strategy. Examinations show that our strategy performs superior to these technique. 07 30 2020 359 363 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I6973.079920 https://www.ijitee.org/portfolio-item/I6973079920/ Department of Computer Science and Engineering,,VRSiddhartha Engineering College, Kanuru, India. Himakar Sai Chowdary Maddipati* Aravind Kundurthi Department of Computer Science and Engineering,,VRSiddhartha Engineering College, Kanuru, India. Pothula Mahima Raaj Department of Computer Science and Engineering College,VR Siddhartha Engineering College ,Kanuru, India. Kapudasi Srilatha Department of Computer Science and Engineering ,VR Siddhartha Engineering College,Kanuru,India. Ravikishan Surapaneni Department of Computer Science and Engineering, VR Siddhartha Engoineering College, Kanuru, India. This paper is about implementing pacman game with AI.The Game Pac-Man is a very challenging video game that can be useful in conducting AI(Artificial Intelligence) research. Here,the reason we have implemented various AI algorithms for pacman game is that it helps us to study AI by using visualizations through which we can understand AI more ef- fectively.The main aim is to build an intelligent pacman agent which finds optimal paths through the maze to find a particular goal such as a particular food position,escaping from ghosts.For that, we have implemented AI search algorithms like Depth first search,Breadth first search,A*search,Uniform cost search.We have also implemented multi-agents like Reflex agent,Minimax agent,Alpha-beta agent.Through these multiagent algorithms,we can make pacman to react from its environmental conditions and escape from ghosts to get high score.We have also done the visualization part of the above AI algorithms by which anyone can learn and understand AI algorithms easily.For visualisation of algorithms,we have used python libraries matplotlib and Networkx. 07 30 2020 140 144 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I6975.079920 https://www.ijitee.org/portfolio-item/I6975079920/ M.Tech Student, Department of Mechanical Engineering, Sri Vasavi Engineering College, Pedatadepalli, Andhra Pradesh, India T.N.S.K. Vivek* K. Sri Rama Murthy Assistant Professor, Department of Mechanical Engineering, Sri Vasavi Engineering College, Pedatadepalli, Andhra Pradesh, India. Dr. Venkata Ramesh Mamilla Professor & Head, Department of Mechanical Engineering, Sri Vasavi Engineering College, Pedatadepalli, Andhra Pradesh, India. the need for the high strength to weight structures is increasing day by day. The structures with high strength to weight ratio helps in reducing the costs in transport of materials. The sandwich structures are being developed to meet this criterion. A sandwich structure consists of two flat sheets with core between them. The material of core and outer flat surfaces may or may not be the same depending upon the application of the structure. In this project, the corrugated core sandwich structure will be used for the cylindrical shell of the pressure vessels. Pressure vessel with corrugated core sandwich structures will be designed and various analyses will be performed. The results will be compared with thin cylindrical shell pressure vessel under similar conditions. The pressure vessels will be designed in solidworks software and structural analysis will be performed in ansys workbench. 07 30 2020 145 148 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I6987.079920 https://www.ijitee.org/portfolio-item/I6987079920/ Assistant Professor Civil Engineering Department, GGU Bilaspur, Phd scholar NIT Raipur Chhattisgarh India Sonal Banchhor* Dr. Meena Murmu Assistant Professor, NIT Raipur, Chhattisgarh, India Dr. Shirish V Deo Associate Professor, NIT Raipur, Chhattisgarh, India, Alkali-activated concrete (AAC) is mounting as a feasible alternative to OPC assimilated to reduce greenhouse gas emanated during the production of OPC. Use of pozzolana results in gel over-strengthening and fabricate less quantity of Ca(OH)2 which provide confrontation to concrete against hostile environment. (AAC) is potential due to inheriting the property of disbursing CO2 instantly from the composition. Contrastingly an option to ordinary Portland cement (OPC), keeping this fact in mind the goal to evacuate CO2 emits and beneficiate industrial by-products into building material have been taken into consideration. Production of alkali-activated cement emanates CO2 nearly 50-80% less than OPC. This paper is the general assessment of current report on the fresh and hardened properties of alkali-activated fly ash (AAF), alkali-activated slag (AAS), and alkali activated slag and fly ash (AASF) concrete. In the recent epoch, there has been a progression to blend slag with fly ash to fabricate ambient cured alkali-activated concrete. Along with that the factors like environmental friendliness, advanced studies and investigation are also mandatorily required on the alkali activated slag and fly ash concrete. In this way, the slag to fly ash proportion impacts the essential properties and practical design of AAC. This discusses and reports the issue in an intensive manner in the following sections. This will entail providing a good considerate of the following virtues like workability, compressive strength, tensile strength, durability issues, ambient and elevated-temperature curing of AAC which will improve further investigation to elaborate the correct test methods and to commercialize it. 07 30 2020 204 215 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I7005.079920 https://www.ijitee.org/portfolio-item/I7005079920/ Assistant Professor, G. Narayanamma Institute of Technology and Science (for women) R. Pallavi Reddy* B. Vinitha B.Tech Student , G. Narayanamma Institute of Technology and Science (for women) K. Rishita B.Tech Student , G. Narayanamma Institute of Technology and Science (for women) K. Pranavi B.Tech Student , G. Narayanamma Institute of Technology and Science (for women) Farming is an important sector of input for any country’s economic growth. Country like India’s majority population livelihood relies on agriculture. The usage of Internet of Things in agriculture promises unavailable productivity, resource and cost reduction, automation and data driven processes. This paper proposes the implementation of a smart agricultural system that uses advantages of cutting edge technologies such as IoT, Sensor network and data analysis to help farmers enhance the way farming and marketing are done. The work focuses on crop selection for planting, conservation of humidity and nutrient content during plant development, suitable usage of fertilizer and quality check of the crop. The selection of crops is done by checking the soil which includes various factors such as color, soil PH value and moisture content. Sensors such as humidity, moisture etc. are used to gather field information and help farmers make precise decisions about insights and recommendations for irrigation based on the data collected. The soil’s nutrient level is sensed, and if there is a deficiency, a suitable fertilizer is suggested and a notification is generated to the farmer. An acceptable price for the plant based on its yield is calculated and a standard price is fixed. Ultimately, the farming and agriculture industries will benefit from these various technologies and platforms. Not only is the revolutionary farming system of today a smart agricultural solution, it is the main solution to the increasing concern for the food intake and environmental footprint of the global population. 07 30 2020 621 625 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I7008.079920 https://www.ijitee.org/portfolio-item/I7008079920/ Department of Electrical Engineering, AP Goyal Shimla University, India. Saadatullah Hamkar* Dr. Anand Mohan Professor, Department of Electrical Engineering, AP Goyal Shimla University, Shimla, India. This paper presents the Cost Optimization of hybrid energy systems in two of the most important provinces of Afghanistan, electrification of Khulm district (Uljato) for Balkh province and Zendeh Jan district (Hotel Safid) for Herat province is purposed in this study. HOMER (Hybrid Optimization Model for Electric Renewables) pro version 3.23.8 is used for optimization, simulation and sensitivity analysis, HOMER is a great software to design and evaluate technically and financially the options for off-grid and on-grid power systems. Renewable resources for selected areas are analyzed in Global Solar atlas (GSA) and Global wind atlas (GWA} the result is compared with the meteorological tower data set, the GSA/GWA is the online website that provides a summary of solar potential, solar resources, wind speed, wind density, and other related factors globally. it is provided from World Bank Group with funding from the Energy Sector Management Assistance Program (ESMAP). The modeling of the hybrid system is purposed as grid-connected for both sites, the system is designed for 2.348MW and 1.622MW for Khulm and Zendeh Jan district respectively, and 10% of load variability is considered. as a result of the study, the Levelized cost of energy (LCOE) from the hybrid system is obtained 0.0566 USD/kWh and 0.0537 USD/kWh for Khulm and Zendeh Jan district respectively which will be 30 to 50 percent cheaper than the price of electricity that is imported from neighboring countries. The total electricity generation for Khulm and Zendeh Jan districts from solar and wind are 7,988,376 kWh/year and 6,218,710 kWh/year respectively. Accessibility of electricity is the important factor for the economic growth of Afghanistan, more than 1000MW of electricity is imported from neighboring countries that are not sustainable and reliable, while Afghanistan has a great potential of renewable energy sources (REs) whose utilization could help to lessen future supply gaps at a cost level that are economically and financially attractive The development of domestic generation is vital for Afghanistan and renewable energy sources (RES) with great potential can successfully be harnessed to meet these two requirements. Besides these renewable energies (REs) are clean energies, friendly with the environment, free of harmful emissions, and have a great impact on the reduction of global warming and climate change. 07 30 2020 172 181 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I7013.079920 https://www.ijitee.org/portfolio-item/I7013079920/ Assistant Professor & Department of Computer Science and Engineering & KSR Institute for Engineering & Technology R. Venkatesan* S. Nandhagopal Assistant Professor & Department of Information Technology & KSR Institute for Engineering & Technology A. Sabari Professor & Head Department of Information Technology & K.S.Rangasamy College of Technology Machine learning is a branch of Artificial intelligence which provides algorithms that can learn from data and improve from experience, without human intervention. Now a day's many of the machine learning algorithms playing a vital role in data analytics. Such algorithms are possible to apply with the recent pandemic COVID situation across the globe. Machine learning algorithms are classified into 3 different groups based on the type of learning process, such as supervised learning, unsupervised learning, and reinforcement learning. By considering the medical observations on the COVID across the globe it has been discussed and concluded to analyze under the supervised learning process. The data set is acquired from the reliable source, it is processed and fed into the classification algorithms. Since learning behaviors are carried out by knowing the input data and expected output data. The data is labeled and has been classified based on labels. In the proposed work, three different algorithms are used to experiment with the COVID'19 dataset and compared for their efficiency and algorithm selection decision is made. 07 30 2020 149 155 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I7015.079920 https://www.ijitee.org/portfolio-item/I7015079920/ Professor, Department of ECE, Chaitanya Bharathi Institute of Technology (A), Hyderabad, India. Dr. Panyam Narahari Sastry* Mohammed Sameer Syed PG Scholar, Department of ECE, Chaitanya Bharathi Institute of Technology (A), Hyderabad, India. Recognition of face emotion has been a challenging task for many years. This work uses machine learning algorithms for both, a real-time image or a stored database image in the area of facial emotion recognition system. So it is very clear that, deep learning technology becomes important for Human-computer interaction (HCI) applications. The proposed system has two parts, real-time based facial emotion recognition system and also the image based facial emotion recognition system. A Convolutional Neural Network (CNN) model is used to train and test different facial emotion images in this research work. This work was executed successfully using Python 3.7.6 platform. The input Face image of a person was taken using the webcam video stream or from the standard database available for research. The five different facial emotions considered in this work are happy, surprise, angry, sad and neutral. The best recognition accuracy with the proposed system for the webcam video stream is found to be 91.2%, whereas for the input database images is found to be 90.08%. 07 30 2020 364 376 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I7033.079920 https://www.ijitee.org/portfolio-item/I7033079920/ Electrical and Electronics Department, GL Bajaj Institute of Technology and Management, Greater Noida, India. Amritanshu Singh* Nishant Kumar Electrical and Electronics Department, GL Bajaj Institute of Technology and Management, Greater Noida, India. Mayank Shekhar Pandey Electrical and Electronics Department, GL Bajaj Institute of Technology and Management, Greater Noida, India. Nagendra Kumar Electrical and Electronics Department, GL Bajaj Institute of Technology and Management, India. Technologies are advancing day by day at an incredible rate, but in respect of deaf and special people-related technologies advancements and new technologies are needed, such as a program that effectively translates the sign language to both text and audio. In this research paper authors have proposed a device that help in communication for deaf and dumb people and reduce the barrier of communication. Different people have trouble communicating with the person who does not know sign language, therefore, using this device they can communicate using gesture which will translate the gesture and display the text on the LCD and voice by speaker. The device is both composed of hardware and software. 07 30 2020 216 219 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I7035.079920 https://www.ijitee.org/portfolio-item/I7035079920/ Department of Civil Engineering, Nusa Putra University, Sukabumi, Indonesia. Paikun* Kurniawan Department of Management, Nusa Putra University, Sukabumi, Indonesia. Nadhya Susilo Nugroho Department of Civil Engineering, Nusa Putra University, Sukabumi, Indonesia. This research is discussing about the construction project scheduling that is integrated between the implementation time with the resources needed periodically and in total. Because, determining the time of implementation of construction is very important as a basic reference, when the commencement of work and when the work must be completed. So far, the project scheduling method that is often used by engineers is the time schedule bar chart method, S curve method, Critical Path Method (CPM) method and other methods. After that, the time schedule is developed into scheduling material procurement and manpower, but the scheduling planning system is often out of sync with the implementation time schedule, material supply schedule and manpower supply schedule, therefore construction project delays often occur due to improper supply of material and manpower. That is part of the cause of the loss, therefore there needs to be an integrated scheduling program. How to produce an integrated program is, conducting research by combining methods namely, time schedule bar chart method, S curve method, CPM method, BOW analysis, SNI analysis, statistics, and supported by 60 random sampling data of project documents, consisting of, construction drawings, BOQ, and cost budget plan. Through the process according to these methods, an integrated program will be produced. Why is it necessary to use a program that results from this research, because this program is easy to use, simply enter the building area and planned implementation time at the input layer, the implementation schedule, and the required resources, will be detected automatically, both periodically and in total. This program uses Microsoft Excel applications and is very simple. This program can only be used for scheduling residential construction projects 1 level to 2 levels, with a building area between 36 m2 to 290 m2. Cannot be used in other projects because each construction project has different characteristics. 07 30 2020 161 171 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I7036.079920 https://www.ijitee.org/portfolio-item/I7036079920/ Electrical and Electronics department, GL Bajaj Institute of Technology & Management, Gr. Noida, India. Varun Mishra* Kailash Sharma Electrical and Electronics department, GL Bajaj Institute of Technology & Management, Gr. Noida, India. Vaishnavi Saxena Electrical and Electronics department, GL Bajaj Institute of Technology & Management, Gr. Noida, India. Ayush Gupta Electrical and Electronics department, GL Bajaj Institute of Technology & Management, Gr. Noida, India. Monika Electrical and Electronics department, GL Bajaj Institute of Technology & Management, Gr. Noida, India. Robotization has different supplication. The wrapper process a house robotizations framework which can be reasonably utilized to comand and screen home machines utilizing the web. Because of its different points of interest, home automation is increasing increasingly more notoriety step by step in view of its capacity to guarantee security and make life a lot simpler. In the framework, arduino will be interfaced with various sensors that can gauge temperature and mugginess, light, movement, etc. The information gathered by the different sensors is put away and an example examination is done on the put away information which tells the client at which time the machines are as a rule on or off so they can be consequently controlled with no human intercession by watching the customary utilization design. The client can likewise kill on/off any apparatus remotely utilizing the web. 07 30 2020 247 250 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I7040.079920 https://www.ijitee.org/portfolio-item/I7040079920/ Electrical & Electronics department, GL Bajaj Institute of Technology & Management, Gr. Noida, India Dr. Mohit Bansal* Kailash Sharma Electrical & Electronics department, GL Bajaj Institute of Technology & Management, Gr. Noida, India The paper investigates how we can utilize the renewable source of energy (i.e. solar energy) to charge an EV. Transportation plays a vital role in day to day life. In India, pollution is increasing day by day. Carbon footprints for India are alarming and it can only be reduced with use of renewable energy uses. India’s more than 3/4th of fuel consumption is met by imports from other countries. To boost EVs in Indian market, Solar charging is best method for charging because of two reasons, first no carbon footprints and other is no dependency on grid for power meet. Increasing charging station will be the foremost need of an EV user and it can be employed at various places like- offices, malls hospitals etc. This paper presents an idea about how can solar energy can be used for charging an EV and also gives a comparison chart for EV user and Non-EV user. In addition, a survey was conducted to provide people’s opinion on solar EV charging station. Vehicle to Grid (V2G) method will show power can be supplied to grid from a charged EV. At last its advantages for environment and society are concluded. 07 30 2020 251 253 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I7052.079920 https://www.ijitee.org/portfolio-item/I7052079920/ Student, Department of Civil Engineering, Hindustan Institute of Technology and Science, Chennai, India. Geetanjali Chandam Yanchen Oinam Student, Department of Civil Engineering, Hindustan Institute of Technology and Science, Chennai, India. Rochitra Keisham Student, Department of Civil Engineering, Hindustan Institute of Technology and Science, Chennai, India. Nungdren N Student, Department of Civil Engineering, Hindustan Institute of Technology and Science, Chennai, India. Pratheeba Paul* Professor, Department of Civil Engineering, Hindustan Institute of Technology and Science, Chennai, India. Traffic congestion is a normal phenomenon associated with transportation on the road at the same time which is hinder motion and need extra time to reach destinations. Congestion is one of the problems involving road. Normally, network congestion occurs on land transport on roads. As demand approaches the capacity of a road or of the intersection along the road, extreme traffic congestion will sets in. When vehicles are fully stopped for periods of time, this is colloquially known as a traffic jam or snarl-up. Traffic congestion can lead to drivers becoming frustrated and engaging in road rage. In this study of developing congestion index for heterogeneous traffic at the road stretch from Navalur to Kelambakkam and Kelambakkam to Navalur, the study initially focuses on the identification of factors affecting traffic congestion, and finding the most vulnerable location for congestion by developing a congestion index based on speed and saturation degree, with these two important approach solution of each area is suggested. To calculate the traffic congestion index, a thorough literature review has been conducted and all the possible parameters are identified. A questionnaire was prepared with relevant factors affection congestion and distributed to the people, who are resident or frequent users. The most significant factors are considered for further study to avoid congestion. Lack of number of lanes, no pedestrian pathway, on road parking, location of toll were found to be the most affecting factors, so we suggest widening of roads, effective parking system , etc. It is also observed that particular area of Padur and Kelambakkam were the main concern of traffic congestion. This is confirmed both practically and theoretically with the help of the survey and the congestion index values. 07 30 2020 220 225 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I7056.079920 https://www.ijitee.org/portfolio-item/I7056079920/ Dept. of Computer Science and Engineering, LBS Institute of Technology for Women, Trivandrum, India. Vaishnavi R* Anitha Kumari S Dept. of Computer Science and Engineering, LBS Institute of Technology for Women, Trivandrum, India. News is a routine in everyone's life. It helps in enhancing the knowledge on what happens around the world. Fake news is a fictional information madeup with the intension to delude and hence the knowledge acquired becomes of no use. As fake news spreads extensively it has a negative impact in the society and so fake news detection has become an emerging research area. The paper deals with a solution to fake news detection using the methods, deep learning and Natural Language Processing. The dataset is trained using deep neural network. The dataset needs to be well formatted before given to the network which is made possible using the technique of Natural Language Processing and thus predicts whether a news is fake or not. 07 30 2020 226 228 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I7059.079920 https://www.ijitee.org/portfolio-item/I7059079920/ M.Tech Computer Science, C-DAC, Noida, India. Ipsita Pattnaik* Tushar Patnaik Research & Development, C-DAC, Noida, India. Optical Character Recognition has been an active research area in computer science for several years. Several research works undertaken on various languages in India. In this paper an attempt has been made to find out the percentage of accuracy in word and character segmentation of Hindi (National language of India) and Odia is one of the Regional Language mostly spoken in Odisha and a few Eastern India states. A comparative article has been published under this article. 10 sets of each printed Odia and Devanagari scripts with different word limits were used in this study. The documents were scanned at 300dpi before adopting pre-processing and segmentation procedure. The result shows that the percentage of accuracy both in word and character segmentation is higher in Odia language as compared to Hindi language. One of the reasons is the use of headers line in Hindi which makes the segmentation process cumbersome. Thus, it can be concluded that the accuracy level can vary from one language to the other and from word segmentation to that of the character segmentation. 07 30 2020 377 382 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I7060.079920 https://www.ijitee.org/portfolio-item/I7060079920/ Associate Professor, Department of Civil Engineering, Faculty of Engineering and Technology, Annamalai University, Annamalai Nagar, Tamilnadu, India Dr. N. Nagarajan* Dr. S. Sivaprakasam Associate Professor, Department of Civil Engineering, Faculty of Engineering and Technology, Annamalai University, Annamalai Nagar, Tamilnadu, India Dr. K. Karthikeyan Associate Professor, Department of Civil Engineering, Faculty of Engineering and Technology, Annamalai University, Annamalai Nagar, Tamilnadu, India Dr. P. Sivarajan Associate Professor, Department of Civil Engineering, Faculty of Engineering and Technology, Annamalai University, Annamalai Nagar, Tamilnadu, India Land filling of urban solid desecrate is a universal dissipate care and one of the economical technique for organizing waste in several parts of the globe. Landfill poses serious threats to the worth of the surroundings if imperfectly safe and indecently managed. The stages of different physicochemical parameters are investigated including Total Dissolved Solids (TDS), alkalinity, pH, Electrical Conductivity (EC), and hardness. The mixture of physical, chemical and microbial practice in the waste shifts the contaminant from the misuse matter to the percolating water. The study asses ground water quality of samples near the dumping area and characterized. The effects are evaluated with the world health organization (WHO) and Bureau of Indian Standard (BIS) index. Also attempt will be made by the aggregate index method to assess the excellence of ground water in Chidambaram and Cuddalore SIPCOT dumpsites. 07 30 2020 229 233 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I7065.079920 https://www.ijitee.org/portfolio-item/I7065079920/ Department of Computer Science, Faculty of Graduate Studies for Statistical Research, Cairo University, Cairo, Egypt. Randa M. Abd El-ghafar* Ali H. El-Bastawissy Faculty of Computer Science, Modern Sciences and Arts University, Cairo, Egypt. Eman S. Nasr Independent Researcher, Cairo, Egypt. Mervat H. Gheith Department of Computer Science, Faculty of Graduate Studies for Statistical Research, Cairo University, Cairo, Egypt. Entity Resolution (ER) is the process of identifying records that refer to the same real-world entity. It plays a key role in many applications as data warehouse, data integration, and business intelligence. Comparing every record with all corresponding records is infeasible especially for a big dataset. To overcome such a problem, blocking techniques have been implemented. In this paper, we propose a novel Efficient Multi-Phase Blocking Strategy (EMPBS) for resolving duplicates in big data. As per our knowledge, some state of art blocking techniques may result in overlapping blocks (i.e. Q-grams) which cause redundant comparisons and hence increase the time complexity. Our proposed blocking strategy has disjoint blocks and less time complexity compared to Q-grams and slandered blocking techniques. In addition, EMPBS is general and requires no restrictions on the type of blocking keys. EMPBS consists of three phases. The first one generates three single efficient blocking keys. The second phase takes the output of the first phase as an input to construct a compound key. The compound key is composed of concatenation of two single blocking keys. Three compound blocking keys are the output of this phase that will be used as an input for the last phase, which is generating the Efficient Multi-Phase Blocking Key (EMPBK). EMPBK is constructed using the union of two compound blocking keys. The implementation of EMPBS presents promising results in terms of Reduction Ratio (RR) as it achieves a higher value of RR than adopting only a single blocking key, while at the same time maintains nearly the same precision and recall. EMPBS reduced about 84% of the average number of comparisons accomplished in a single blocking key. To evaluate EMPBS, we developed a Duplicate Generation tool (DupGen) that accepts a clean semi-structured file as an input and generates labeled duplicate records according to certain criteria. 07 30 2020 254 263 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I7070.079920 https://www.ijitee.org/portfolio-item/I7070079920/ Department of Computer Science, Lal Bahadur Shastri Institute of Technology for Women (LBSITW), Thiruvananthapuram, Kerala, India. Swathy Krishna* Anju J Assistant Professor, Department of Computer Science, Lal Bahadur Shastri Institute of Technology for Women (LBSITW), Thiruvananthapuram, Kerala, India. Depression has become a serious mental disorder nowadays affecting people of almost all age groups. Loss of interest in daily activities, constant feeling of being isolated, hopelessness etc. causing significant impairment in life. This illness will affect the physical and mental health of the individual affecting his/her emotional stability. Emotions are a way of expression of one’s state of mind in the form of thoughts, feelings or behavioural responses. For a depressed individual, the emotions are often negative in nature. Diagnosis of depression is a complex task as the disease may be unidentified by the patient itself. Sometimes the patient may be reluctant to consult a doctor. The long term ignorance of the illness may worsen the mental health of the one suffering from it. Thus the early diagnosis of depression is of great significance. With the emergence of neural networks and pattern recognition, many researchers have put effort in detecting depression by analysing non-verbal cues, such as facial expressions, gesture, body language and tone of voice. Recent studies have shown that the speech emotion analysis can effectively be used in distinguishing emotional features and a depressed speech varies from that of a normal speech to a great extent. The depressed patient normally speaks in a low voice, slowly, sometimes stuttering, whispering, trying several times before they speak up or become mute in the middle of a sentence. This paper proposes a CNN architecture for learning the audio features in the speech for detecting depression, identifying the emotions and to infer the emotional severity of the individual. This paper also reviews some of the existing research methods in the field of depression analysis. 07 30 2020 405 408 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I7076.079920 https://www.ijitee.org/portfolio-item/I7076079920/ Department of ECE, Vidyavardhaka College of Engineering, Mysuru, Karnataka, India. Syed Saalim* Anush M Department of ECE, Vidyavardhaka College of Engineering, Mysuru, Karnataka, India. Arpitha V Department of ECE, Vidyavardhaka College of Engineering, Mysuru, Karnataka, India. Sudheesh K V Assistant Professor, Department of ECE, Vidyavardhaka College of Engineering, Mysuru, Karnataka, India. Identification of system is one of the major applications of an adaptive filters, mainly Least Mean Square (LMS) algorithm, because of its ease in calculations, the ability to withstand or overcome any conditions. The unknown System can be a FIR or an IIR filter. Same input is fed into both undefined system (which is unknown to us) and the adaptive filter, their outputs will be subtracted and the error subtracted signal will be given to adaptive filter. The adaptive filter is modified until the system which is unknown and the adaptive filter becomes relatively equal. System identification defines the type and functionality of the system. By utilizing the weights, the output of the system for any input can be predicted. 07 30 2020 409 414 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I7077.079920 https://www.ijitee.org/portfolio-item/I7077079920/ is currently working as Associate Professor in Electronics and Communication Engineering, Sethu Institute of Technology, Kariapatti,Tamil Nadu, India. M. Annalakshmi* S.Md.Mansoor Roomi currently working as Associate Professor in Electronics and Communication Engineering,Thiagarajar College of Engineering,Madurai, Tamil Nadu, India. V. Karthik is currently working as Assistand Professor in Electronics and Communication Engineering, Sethu Institute of Technology, Kariapatti,Tamil Nadu, India. Facial Image processing is an active research area which involves various applications such as face detection, face recognition, person identification and also demographic information collection that is age, gender and race from the face. In general, all these applications fall under either holistic approach or local approach. In holistic approach, the whole face image is used for further processing. In local approach, the face is divided into various blocks which may contains the facial regions like eyes, eye brows, mouth, nose, cheek and chin regions. In order to develop a robust algorithm against scale, illumination, pose and expression issues, a component based or part based approaches were developed. For component based approach, the extraction of various face parts needs an automatic method to crop the facial regions closest to the manual cropping. The method of automatically extracting various facial parts is addressed in this paper. The Constrained Local Model (CLM) approach is used to identify the facial landmarks which in turn used to segregate the different facial parts. The performance of proposed approach is evaluated by ground truth of the respective facial components. The correspondence between the automatic extracted facial regions and ground truth is evaluated by SIFT descriptor. Experimental results on matching manually cropped facial regions against automatically extracted regions show that the CLM approach achieves promising performance. The extraction of various facial region will be very useful in Face recognition. 07 30 2020 264 268 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I7087.079920 https://www.ijitee.org/portfolio-item/I7087079920/ Department of Computer Engineer, Pune Institute of Computer Technology, Pune University of Pune, India. Pallavi B. Petkar* DR. S. S. Sonawane Department of Computer Engineer, Pune Institute of Computer Technology,Pune University of Pune, India. The extensive spread of fake news (low quality news with intentionally false information) has the potential for extremely negative impacts on individuals, society and particular in the political world. Therefore, fake news detection on social media has recently become an emerging research which is attracting tremendous attention. Detection of false information is technically challenging for several reasons. Use of various social media tools, content is easily generated and quickly spread, which lead to a large volume of content to analyze. Online information is very wide spread, which cover a large number of subjects, which contributes complexity to this task. The application of machine learning techniques are explored for the detection of ‘fake news’ that come from non-reputable sources which mislead real news stories. The purpose of the work is to come up with a solution that can be utilized by users to detect and filter out sites containing false and misleading information. This paper performs survey of Machine learning techniques which is mainly used for false detection and provides easier way to generate results. 07 30 2020 383 386 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I7098.079920 https://www.ijitee.org/portfolio-item/I7098079920/ Post Graduate Student, School of Civil Engineering MIT WPU PUNE, Pune, India. Mayuresh Raikwad* H.R. Magar Patil Professor, Structural Engineering Section, School of Civil Engineering MIT WPU PUNE, Pune, India. The main aim of this study is to conduct the structural audit of the Sadhu Vaswani Pul which is a Rail Over Bridge, situated in Koregaon Park, Pune and to establish the displacement sensors developed in the institution as a reliable test for structural auditing of the bridge decks. Traditional methods of auditing like the Rebound Hammer test and the Ultrasonic pulse velocity tests have been considered in this study. Very few methods are available for testing the deck displacement and this problem has been tackled here. The novelty of this research is that the institutionally developed displacement sensors are used for determining the deck displacement of the selected bridge. These sensors have not been used before and no on-site techniques are available to obtain the deck deflections under real-time loading. The displacement test on the decks was conducted. The critical decks which were determined during the Visual Inspections were tested by the displacement sensors. A two-axle truck of 18.5 tonnes was passed over the bridge deck and the displacement readings were recorded at the same time. The displacement reading thus obtained indicated the deflection of the deck under a uniform rolling load. The displacements obtained were then validated by the standards given in AASTHO-LFRD. After conducting the above tests, the overall condition of the bridge was determined and the critical sections which should be repaired were mentioned. 07 30 2020 387 394 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I7101.079920 https://www.ijitee.org/portfolio-item/I7101079920/