19c96fd517d854497e8-25d5 20220215043725259 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 05 30 2021 10 7 Student, Department of Civil Engineering, Pillai’s HOC College of Engineering and Technology, Rasayani, Panvel, India. Pranav Andhyal Karthik Nagarajan Associate Professor, Department of Civil Engineering, Pillai’s HOC College of Engineering and Technology, Rasayani, Panvel, India. Raju Narwade Associate Professor, Department of Civil Engineering, Pillai’s HOC College of Engineering and Technology, Rasayani, Panvel, India. A Construction project involves project management and financial planning at various stages right from the concept stage to the execution stage. This involves a large number of people working on different aspects of the project adhering to their specific job roles in collaboration with the others. These members not only work on the different aspects but also work on different software’s and platforms in order to create a holistic working plan to ensure timely and flawless construction activities. But these software’s only provide specific information feeded to it. A single program which would provide information of all these software’s collectively on one platform would not only make it convenient for sharing data but also help in reducing the delay and eliminating errors. A 5D model can be created linking the schedule of the project and the cost involved in it to the drawings on a GIS platform. In this research a 5D model of a Residential cum Commercial project Located in Prabhadevi, Mumbai, Maharashtra, India has been generated. This model includes the data related to the Schedule and Cost of the project, which can help in making decisions related to monetary aspects, Men & Material preparedness, verification of bills & Billing Audits. A 5D model holds Spatial data such as Project Schedule, Itemized Element costs and Quantities along with the 3D model of the structure. The conclusion of the study states that a GIS Model can serve as a real time data base for all the parties involved in the project at every level of its progression. 05 30 2021 74 82 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D8503.0510721 https://www.ijitee.org/portfolio-item/D85030210421/ Department of Civil, Sri Krishna College of Technology, Coimbatore (Tamil Nadu), India. Mr. S. Logesh Mr. R. Ramesh Department of Civil, Sri Krishna College of Technology, Coimbatore (Tamil Nadu), India. Dr. I. Padmanaban Department of Civil, Sri Krishna College of Technology, Coimbatore, (Tamil Nadu), India. This Study represents compatibility on Cold formed steel in I-Section beams and C-section beams with variable length parameters was 1000mm, 1500mm, 2000 mm under simply supported end condition subjected to uniformly distributed loading. The Cold formed steel is of shell type in Numerical simulation is carried out using the Software ABAQUS. For validation the series of parameters studies have been carried out using the numerical model of different parameters, such as the effect of length, width, thickness. CFS I-Section steel in various thickness of 1mm, 2mm, 3mm and 4mm with same loading conditions. CFS C-Section steel in various uneven flange width such as 500mm at the top flange and bottom flange of different width such as 400mm, 300mm, 200mm respectively in variable lengths with various loading conditions and with the thickness of about 1mm. For both I-Section and C-Section Beams the Effective Length ranges, MISES(max and min) and deflections(max and min) were taken for the analyse of the Sections. This study gives the way of finding the effective Section by the analysis of behaviour of I-Section beam and C-Section beam through the deflection results in various length variations in the beam Section using the ABAQUS software for finding the Structural behaviour in the more accuracy manner by applying meshing more finer for the Element Section in the Analyse of beam. The loading condition and the supporting condition applied to the beam section in different loading for getting the effective Section. For further stability in effective section we can use different types of connection. 05 30 2021 68 73 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G8863.0510721 https://www.ijitee.org/portfolio-item/G88630510721/ Research Scholar, Sri Paramakalyani Centre of Excellence in Environmental Sciences, Manonmaniam Sundaranar University, Alwarkurichi (Tamil Nadu), India. D. Vasudevan A.G. Murugesan University Grants Commission Faculty Fellow Sri Paramakalyani Centre of Excellence in Environmental Sciences, Manonmaniam Sundaranar University, Alwarkurichi (Tamil Nadu), India. The aim of the study was to evaluate the water quality impact caused due to the operations of common hazardous waste landfill facility (CHWLF) in Gummidipoondi industrial estate, Tiruvallur district, Tamilnadu, India. The watershed area of the hazardous waste landfill facility was delineated using Arc-GIS tools and prediction of ground water flow direction was carried out using three-dimensional ground water flow model using VISUAL MODFLOW software. The water quality analysis was performed in the upstream and downstream directions of the project site and the results showed that all the tested parameters were within the BIS 10500:2012 drinking water limits, except pH which showed slightly acidic characteristics in certain locations. The tested water samples mostly belonged to the Ca + Mg-HCO3’ type as classified using the multivariate analysis method using piper diagram. Co-relation between the water quality parameters were determined using statistical analysis of Pearson’s correlation coefficient (r) values. 05 30 2021 37 45 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G8872.0510721 https://www.ijitee.org/portfolio-item/G88720510721/ Assistant Professor, Dept. of Chemical Engineering, Anurag Group of Institutions, Hyderabad (Telangana), India. M. Shireesha Yasser Mirza Baig Research Scholar, Department of Chemical Engineering, Anurag Group of Institutions, Hyderabad (Telangana), India. C. Sarita Research Scholar, Department of Chemical Engineering, Anurag Group of Institutions, Hyderabad (Telangana), India. Syed Rashid Iqbal Research Scholar, Department of Chemical Engineering, Anurag Group of Institutions, Hyderabad (Telangana), India. Caroline Wesley Research Scholar, Department of Chemical Engineering, Anurag Group of Institutions, Hyderabad (Telangana), India. N. Vaishnavi Research Scholar, Department of Chemical Engineering, BVRIT, Narsapur (Telangana), India. Biomass is an important source of energy and fuel worldwide after coal, oil and natural gas. These fossil fuels do substantially more harm than renewable energy sources like biomass energy. Oil extracted from biomass is considered as an attractive option. In our project, we have specifically selected coconut shells as our feed as they are carbon-neutral, easy to store and abundantly available. Coconut shell also known as Cocos Nucifera shell in biological terms, once a discarded outer hardcover is now a product of great demand. Coconut shell charcoal is used as domestic and industrial fuel. This is obtained by various techniques. Initially, the shells are burned at high temperature and condensed to extract bio-oil using a series of unit operations and processes such as distillation, gas chromatography. These samples are then sent for analysis to compare them with the conventional fuel sources and then antimicrobial activity is examined. The medium-chain fatty acids in coconut oil have antimicrobial properties that can help protect against harmful microorganisms. Lauric acid and capric acid are known to have potent antimicrobial properties. Different bacterial cultures have been introduced later to test the ability of the oil to resist the harmful microorganisms and fungal cultures. Various analysis such as Infrared Spectroscopy, Gas-Mass Spectroscopy and Ultimate analysis are performed on the retrieved samples of oil extracted from the coconut shells. It is to be observed that the carbon content in the Cocos nucifera derived oil is less than the conventional diesel oil which makes it best for environmental uses. 05 30 2021 1 10 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G8877.0510721 https://www.ijitee.org/portfolio-item/G88770510721/ Department of Mechanical Engineering, Rajeev Gandhi Memorial College of Engg. & Tech, Nandyal, (A.P), India. Syed Altaf Hussian Palani Kumar. K. Sri Sairam Institute of Technology, Chennai, India. Md.Alamgir Department of Mechanical Engineering, Rajeev Gandhi Memorial Colege of Engg. & Tech., Nandyal (A.P), India. In this paper, an attempt is made to optimize the control parameters for the minimization of specific energy consumption in turning GFRP composites using particle swarm optimization (PSO).Optimization of specific energy consumption in machining is helpful to evaluate the process energy characteristics and also facilitates choosing the best control parameters for energy saving. The control parameters considered are cutting speed, feed, depth of cut and fiber orientation angle. Experiments are planned and executed according to Taguchi’s L25 orthogonal array in the design of experiments on an all geared lathe with PCD cutting tool insert. A quadratic predictive model was developed for specific energy consumption using RSM and the optimal combinations of control parameters were determined using PSO. The Predicted results from PSO show that there is an improvement in MRR by 46.44% and a reduction in SEC by 33.69%. From the confirmative experimental results, it is observed that PSO algorithm has a powerful global search ability to solve the optimization problem. 05 30 2021 11 17 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G8890.0510721 https://www.ijitee.org/portfolio-item/G88900510721/ Assistant Lecture, Egyptian Atomic Energy Authority (EAEA), Cairo, Egypt. Nadia.M. Nawwar Prof. Kasban Head of Engineering and Scientific, Instruments Department, Nuclear Research Center (NRC), Egyptian Atomic Energy Authority (EAEA), Cairo, Egypt. May Salama Department, Computer Science, Machine Learning and Security, University of Banha, Egypt. During the spread of the COVID-I9 pandemic in early 2020, the WHO organization advised all people in the world to wear face-mask to limit the spread of COVID-19. Many facilities required that their employees wear face-mask. For the safety of the facility, it was mandatory to recognize the identity of the individual wearing the mask. Hence, face recognition of the masked individuals was required. In this research, a novel technique is proposed based on a mobile-net and Haar-like algorithm for detecting and recognizing the masked face. Firstly, recognize the authorized person that enters the nuclear facility in case of wearing the masked-face using mobile-net. Secondly, applying Haar-like features to detect the retina of the person to extract the boundary box around the retina compares this with the dataset of the person without the mask for recognition. The results of the proposed modal, which was tested on a dataset from Kaggle, yielded 0.99 accuracies, a loss of 0.08, F1.score 0.98. 05 30 2021 18 23 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G8893.0510721 https://www.ijitee.org/portfolio-item/G88930510721/ Professor, Computer Science & Engineering, Mahatma Gandhi Institute of Technology Hyderabad (Telangana), India. Dr. A. Nagesh The growth in population and economics the global demand for energy is increased considerably. The large amount of energy demand comes from houses. Because of this the energy efficiency in houses in considered most important aspect towards the global sustainability. The machine learning algorithms contributed heavily in predicting the amount of energy consumed in household level. In this paper, a energy audit system using machine learning are developed to estimate the amount of energy consumed at household level in order to identify probable areas to plug wastage of energy in household. Each energy audit system is trained using one machine leaning algorithm with previous power consumption history of training data. By converting this data into knowledge, gratification of analysis of energy consumption is attained. The performance of energy audit Linear Regression system is 82%, Decision Tree system is 86% and Random Forest 91% are predicted energy consumption and the performance of learning methods were evaluated based on the heir predictive accuracy, ease of learning and user friendly characteristics. The Random Forest energy audit system is superior when compare to other energy audit system. 05 30 2021 33 36 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G8895.0510721 https://www.ijitee.org/portfolio-item/G88950510721/ Computer Science Department, Faculty of Computers and Information, Menofiya University, Shebin El Kom, Egypt. Mohamed Elkawkagy Heba Elbeh Computer Science Department, Faculty of Computers and Information, Menofiya University, Shebin El Kom, Egypt. While several approaches have been developed to enhance the efficiency of hierarchical Artificial Intelligence planning (AI-planning), complex problems in AI-planning are challenging to overcome. To find a solution plan, the hierarchical planner produces a huge search space that may be infinite. A planner whose small search space is likely to be more efficient than a planner produces a large search space. In this paper, we will present a new approach to integrating hierarchical AI-planning with the map-reduce paradigm. In the mapping part, we will apply the proposed clustering technique to divide the hierarchical planning problem into smaller problems, so-called sub-problems. A pre-processing technique is conducted for each sub-problem to reduce a declarative hierarchical planning domain model and then find an individual solution for each so-called sub-problem sub-plan. In the reduction part, the conflict between sub-plans is resolved to provide a general solution plan to the given hierarchical AI-planning problem. Pre-processing phase helps the planner cut off the hierarchical planning search space for each sub-problem by removing the compulsory literal elements that help the hierarchical planner seek a solution. The proposed approach has been fully implemented successfully, and some experimental results findings will be provided as proof of our approach’s substantial improvement inefficiency. 05 30 2021 24 32 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G8902.0510721 https://www.ijitee.org/portfolio-item/G89020510721/ Laboratory of Materials Physics and Subatomics. Faculty of Sciences- Ibn Tofail University, Kenitra, Morocco. Alaoui Altaf Boris Olengoba Ibara Laboratory of Ecology and Environment, Faculty of Sciences Ben M’sik, University Hassan II, Casablanca, Morocco. Badia Ettaki Laboratory of Research in Computer Science, Data Sciences and Knowledge Engineering, School of Information Sciences Rabat, Morocco. Jamal Zerouaoui Laboratory of Materials Physics and Subatomics. Faculty of Sciences- Ibn Tofail University, Kenitra, Morocco. The process of data discovery is an approach to extracting knowledge, valid, and usable information from large amounts of data, using automatic or semi-automatic methods. This article is an inventory of the different information extraction processes encountered in the literature for different fields of application and for the development of environmental informatics. Following an analysis between the different models, we can summarize the existing models with a proposal for a process that exploits the strengths of the different processes. 05 30 2021 46 50 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G8905.0510721 https://www.ijitee.org/portfolio-item/G89050510721/ Department of CSE, SRM Institute of Science and Technology, Modinagar, Ghaziabad (U.P.), India. Ritika Singh Nilansh Panchani Department of CSE, SRM Institute of Science and Technology, Modinagar, Ghaziabad (U.P.) India. Aastha Bhatnagar Department of CSE, SRM Institute of Science and Technology, Modinagar, Ghaziabad (U.P.) India. India is facing a severe second wave of COVID-19 which is much worse than the first wave. It is spreading much faster. India has now surpassed U.S. in terms of daily COVID-19 cases. This paper aims to analyze the trend of COVID 19 and examine why second wave happened and why it is so bad by simulating a simple SEIR model. Which is a compartmental model based on 4 compartments Susceptible, Exposed, Infectious, Recovered. 05 30 2021 51 54 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G8928.0510721 https://www.ijitee.org/portfolio-item/G89280510721/ Faculty of Engineering and Technology, University of Buea, Buea, Cameroon. Achille Fumtchum Pierre Tsafack Faculty of Engineering and Technology, University of Buea, Buea, Cameroon. Florin Hutu Univ Lyon, INSA Lyon, INRIA, CITI, F-69621, Villeurbanne, France. Guillaume Villemaud Univ Lyon, INSA Lyon, INRIA, CITI, F-69621, Villeurbanne, France. Emmanuel Tanyi Faculty of Engineering and Technology, University of Buea, Buea, Cameroon. The aim of this work is, on one hand, to review the state of the art of the architectures and diodes used in radio-frequency energy harvesting systems, the idea here is to review the most recent works, as well as their characteristics, which include frequency, type of diode used, topology, maximum efficiency and corresponding power, and on the other hand to carry out simulations to determine the most appropriate case for any further work in the field. After having determined the most common topologies, we used the main known radio-frequency diodes to characterize them in a first step, clearly a process of comparing the results of the simulations of the different topologies is done by initially considering an identical frequency. and afterward determine the effect of frequency band on their conversion efficiency. 05 30 2021 99 106 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G8944.0510721 https://www.ijitee.org/portfolio-item/G89440510721/ Department of Electronics Engineering, Madhav Institute of Technology & Science, Gwalior (M.P), India. Bhageerath Singh Kaurav Karuna Markam Department of Electronics Engineering, Madhav Institute of Technology & Science, Gwalior (M.P), India. Pooja Sahoo Department of Electronics Engineering, Madhav Institute of Technology & Science, Gwalior (M.P), India. DWM (Directional weighted median) filter is very popular in filtering digital image and remove mixed noise. Fuzzy logic is implemented with median filters to improve its performance. In the previous work, fuzzy logic system is implemented with switching median filter and gives better performance than directional median filter as well as switching median filter. Experimenting directional median filter with same fuzzy logic system didn’t yield to better results therefore fuzzy logic parameters has been changes as per strong points of directional weighted median filter and a constant has been included in the filtering equation to improve the results. So in this proposed work, we have successfully implemented directional weighted median filter with fuzzy logic system which is proving better results than DWM and FSMF (Fuzzy Switching Median Filter). PSNR (Peak Signal to Noise Ratio)is used for qualitative analysis of results. 05 30 2021 83 90 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G8946.0510721 https://www.ijitee.org/portfolio-item/G89460510721/ Discipline of Mathematics and Computing, Department of Applied Mathematics, Delhi Technological University, Delhi, India. Kartik Khariwal Rishabh Gupta Discipline of Mathematics and Computing, Department of Applied Mathematics, Delhi Technological University, Delhi, India. Jatin Singh Discipline of Mathematics and Computing, Department of Applied Mathematics, Delhi Technological University, Delhi, India. Anshul Arora Discipline of Mathematics and Computing, Department of Applied Mathematics, Delhi Technological University, Delhi, India. With the increasing fame of Android OS over the past few years, the quantity of malware assaults on Android has additionally expanded. In the year 2018, around 28 million malicious applications were found on the Android platform and these malicious apps were capable of causing huge financial losses and information leakage. Such threats, caused due to these malicious apps, call for a proper detection system for Android malware. There exist some research works that aim to study static manifest components for malware detection. However, to the best of our knowledge, none of the previous research works have aimed to find the best set amongst different manifest file components for malware detection. In this work, we focus on identifying the best feature set from manifest file components (Permissions, Intents, Hardware Components, Activities, Services, Broadcast Receivers, and Content Providers) that could give better detection accuracy. We apply Information Gain to rank the manifest file components intending to find the best set of components that can better classify between malware applications and benign applications. We put forward a novel algorithm to find the best feature set by using various machine learning classifiers like SVM, XGBoost, and Random Forest along with deep learning techniques like classification using Neural networks. The experimental results highlight that the best set obtained from the proposed algorithm consisted of 25 features, i.e., 5 Permissions, 2 Intents, 9 Activities, 3 Content Providers, 4 Hardware Components, 1 Service, and 1 Broadcast Receiver. The SVM classifier gave the highest classification accuracy of 96.93% and an F1-Score of 0.97 with this best set of 25 features. 05 30 2021 55 64 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G8951.0510721 https://www.ijitee.org/portfolio-item/G89510510721/ Assistant Professor (Senior Grade), SRM Institute of Science and Technology, Ramapuram, Chennai (Tamil Nadu), India. J Paul Rajasingh Ms. Sharmishtha Sen B. Tech, Department of Computer Science and Engineering, SRM institute of Science and Technology, Ramapuram, Chennai (Tamil Nadu), India. Shreyes Prasad Student, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai (Tamil Nadu), India. All the cloud based applications work on service oriented architectures and collaborate with multiple components from other services to execute discreet application logic. In this environment there are a lot of Web services facilitated to the customer to make the systems. As the potential of the same Web service will change with respect to users’ needs. On an average a user will be heavily relied on tools to aid their activities on the internet vice versa the Service provider are also dependent on the users profile and what services are being used in the system. A User Reputation model offers a solution to the Service providers in supporting their service decision based on the User Profile. This model takes usage ratings as data and produces a personalised score. We suggest a new Cumulative separation on the basis of Tags and popularity estimation method and showcase its enhanced filtration ability. 05 30 2021 107 109 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G8953.0510721 https://www.ijitee.org/portfolio-item/G89530510721/ Research Scholar, Folklore Research Department, Gauhati University, Guwahati (Assam), India. Abul Hussain Mahapurusha Srimanta Sankardeva was an Assamese saint-scholar. Study on his life and works is of great academic importance in Assam. The tutorial, cultural and literature contribution by him still influences the fashionable creative works. The ideas, cultural contribution and philosophy of Srimanta Sankardeva became an integral an area of the lifetime of Assamese people. Therefore, the investigators have felt the requirement to review about the contribution of Mahapurusha Srimanta Sankardeva within the sphere of Assamese literature and culture in relevancy its educational significanceto uplift the moral, spiritual, value based thought, character building and personality development of the long run generation of the people. the foremost objectives of the study are to review the Contribution of Mahapurusha Srimanta Sankardeva within the sphere of Assamese literature and culture and to review the tutorial significance of the Contribution of Mahapurusha Srimanta Sankardeva within the sector of Assamese literature and culture. 05 30 2021 65 67 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G8958.0510721 https://www.ijitee.org/portfolio-item/G89580510721/ Liberal & Arts College, Anyang University, South Korea. Byeongtae Ahn For effective remote education using multimedia, it is necessary to develop efficient management techniques of video information. This requires real-time processing of video information which should be managed and retrieved in a compressed forms. The main technology of compressing video is currently MPEG-2. This implies that it is very important to manage and retrieve video compressed in MPEG-2, and then to process the video in real-time for the remote education environment using multimedia. This paper is to develop the management system of video information which is one of the most critical requirements in remote education systems for managing and retrieving MPEG-2 video. 05 30 2021 91 94 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G8979.0510721 https://www.ijitee.org/portfolio-item/G89790510721/ Department of Electronics & Telecommunication Engineering at Padre Conceicao College of Engineering, Verna, Goa, India. Nishika Manira Swelia Monteiro Department of Electronics & Telecommunication Engineering at Padre Conceicao College of Engineering, Verna, Goa, India. Tashya Alberto Department of Electronics & Telecommunication Engineering at Padre Conceicao College of Engineering, Verna, Goa, India. Tracy Niasso Department of Electronics & Telecommunication Engineering at Padre Conceicao College of Engineering, Verna, Goa, India. Dr. Supriya Patil Associate professor in Electronics and Telecommunication Engineering Department at Padre Conceicao College of Engineering, Verna, Goa, India. The widespread use of smartphones and mobile data in the present-day society has exponentially led to the interaction with the physical world. The increase in the amount of image data in web and mobile applications makes image search slow and inaccurate. Landmark recognition, an image retrieval task, faces its challenges due to the uncommon structure it possesses, such as, buildings, cathedrals, castles or museums. These are shot from various angles which are often different from each other, for instance, the exterior and interior of a landmark. This paper makes use of a Convolutional Neural Networks (CNN) based efficient recognition system that serves in navigation, to organize photo collections, identify fake reports and unlabeled landmarks from historical data. It identifies landmarks correctly from a variety of images taken at different viewpoints as well as distances. An appropriate CNN architecture helps to provide the best solution for the currently selected dataset. 05 30 2021 95 98 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G8983.0510721 https://www.ijitee.org/portfolio-item/G89830510721/ Presently studying BTech (3rd year), Electronics and Communication Engineering (Spec in IoT & Sensors) in Vellore Institute of Technology, Vellore (Tamil Nadu), India. T. Venkatesh K. Prathyush Presently studying BTech (3rd year), Electronics and Communication Engineering (Spec in IoT & Sensors) in Vellore Institute of Technology, Vellore (Tamil Nadu), India. S. Deepak Presently studying BTech (3rd year), Electronics and Communication Engineering (Spec in IoT & Sensors) in Vellore Institute of Technology, Vellore (Tamil Nadu), India. U.V.S.A.M. Preetham Presently studying BTech (3rd year), Electronics and Communication Engineering (Spec in IoT & Sensors) in Vellore Institute of Technology, Vellore, (Tamil Nadu), India. As we all know that the Agriculture plays an important role in the Indian economy and majority of the individuals depends upon it and offers huge amount of the crops through the worldwide. The Illnesses in these crops are generally on the leaf’s influences on the decrease of both quality and number of horticultural items. We should know the disease of the crop correctly to solve the problem. There will be a huge loss if we do not find the disease and treat properly. The view of natural eye isn’t so a lot more grounded in order to watch minutevariety in the contaminated piece of leaf. In thisreport, we are giving a programming answer fornaturally identify and arrange plant leaf diseases. In this we are utilizing picture preparing methods to characterize alignments and rapidly finding can be completed according to infection. This methodology will upgrade the efficiency of yields in a efficient way and can get us the accurate disease which helps us to find the solution for the diseased crop. It observes a few stages with the help of these pictures obtaining, picture pre-handling, division, highlights extraction and genetic algorithm-based grouping. Relating to the cultivation of land, efficiency is something on which economy exceptionally depends. This is the one of the reasons that sickness identification in plants assumes a significant job in the agriculture business field, as having the illness in plants are very normal. In an event that legitimate consideration isn’t taken here, at that point it causes true consequences for plantsand because of which quality of each and every item, amount or efficiency is being influenced. The recognition of plant infections through some programmed step is gainful as it avoids a huge work of checking in huge homesteads of harvests. At the beginning of the crop harvesting step itself, it shows the side effects or the symptoms of the diseases. This proposed method surfaces into a new programmed manner by distinguishing the effects of the crop plant diseases. We are using some image processing techniques for the identification of the disease. Additionally, it watches the review on the various diseases order strategies which also can be utilized for plant leaf alignment. Picture division, which is a significant viewpoint for sickness identificationin a plant leaf alignment, is finalized by the input RGB mask images. 05 30 2021 110 114 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G9012.0510721 https://www.ijitee.org/portfolio-item/G90120510721/ Pursuing, PhD, Department of Electrical & Electronic Engineering, Faculty of Engineering and Technology, University of Buea Republic of Cameroon. Ferdinand Ajamah Dr. Pierre Tsafack Ph D, Department of Electrical & Electronic Engineering, Faculty of Engineering and Technology, University of Buea-Republic of Cameroon. Emmanuel Tanyi Professor and Dean, Faculty of Engineering and Technology of the University of Buea, in Cameroon. Associate professor, Power System, University of Dschang, Cameroon. Andre Cheukem Benjamin Ducharne Graduated, University of Claude Bernard Lyon. Significant amount of energy is consumed in water supply systems resulting in reduced sustainability of these systems. Measures to reduce their energy demand are strongly needed. In this study, an estimation of the intrinsic hydro energy potential of the water supply system of a Cameroon municipality was made in order to propose an energy-potential map useful to identify the most interesting sites where excess energy in the network can be harvested to improve the energy efficiency of the network. A geodatabase to store network data was developed using Geographic Information Systems. The shapefiles resource data were explored and the hydraulic simulator EPANET software was used to create a model. Calculations were performed to determine the energy recovery values at different locations in the network. The resulting digital map presented 18 candidate sites which show a total annual energy potential of 635 MWh, realizable at capacity factor and efficiency of 41 % and 65 % respectively. This potential can offset the energy footprint of the network by about 34 % while 127 tons of carbon-dioxide emission reductions are achieved. The results of this investigation highlight that development of renewable energy resource on water supply network infrastructure is an innovative technology that can contribute significantly to improve the energy efficiency, economic and environmental sustainability of the water supply system. 05 30 2021 131 142 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G9023.0510721 https://www.ijitee.org/portfolio-item/G90230510721/ Department of Computer Science, Bharathiar University, Coimbatore, India. Sandhya Sarma K N Dr. Hemraj Shobharam Lamkuche Department of Computer Science, Symbiosis Centre for Information Technology, Pune, India. Dr. E Chandra Blessie Department of Computing(AIML), Coimbatore Institute of Technology, Coimbatore, India. One of the most appealing IoT application areas is medical care and health care. This promising technology is reshaping current health-care service that comply with treatment and mediation at home. The core part of IoT constitutes sensors and various devices for diagnosis and imaging. Now-a-days sensors are becoming smaller, allowing them to be worn without interfering with daily activities.. To make sensors wearable and wireless, it should be small in dimensions and also the energy, memory, and processing power available also matters. Health services dependent on the Internet of Things are supposed to minimise cost, enhance the user’s experience and improve their quality of life. IoT has many hurdles in its implementation, security is the most important. This paper throws light on the different methods of securing the medical sensitive data through the network. 05 30 2021 115 121 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G9034.0510721 https://www.ijitee.org/portfolio-item/G90340510721/ Robotics and automation Department, PSG College of technology, Coimbatore, India. Karthik Valliappan C Vikram R Robotics and automation Department, PSG College of technology, Coimbatore, India. An autonomous navigation system for a robot is key for it to be self-reliant in any given environment. Precise navigation and localization of robots will minimize the need for guided work areas specifically designed for the utilization of robots. The existing solution for autonomous navigation is very expensive restricting its implementation to satisfy a wide variety of applications for robots. This project aims to develop a low-cost methodology for complete autonomous navigation and localization of the robot. For localization, the robot is equipped with an image sensor that captures reference points in its field of view. When the robot moves, the change in robot position is estimated by calculating the shift in the location of the initially captured reference point. Using the onboard proximity sensors, the robot generates a map of all the accessible areas in its domain which is then used for generating a path to the desired location. The robot uses the generated path to navigate while simultaneously avoiding any obstacles in its path to arrive at the desired location. 05 30 2021 122 126 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G9038.0510721 https://www.ijitee.org/portfolio-item/G90380510721/ Department of Electronics and Communication Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam (Andhra Pradesh), India. G Manmadha Rao Gade Chaitanya Prasad Department of Electronics and Communication Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam (Andhra Pradesh), India. K. Pavani Department of Electronics and Communication Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam (Andhra Pradesh), India. S Lakshaman Rao Department of Electronics and Communication Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam (Andhra Pradesh), India. B Prasanna Kumar Department of Electronics and Communication Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam (Andhra Pradesh), India. This paper discusses about estimation of glucose concentration in blood using a Triple pole Complementary split ring resonator (TP-CSRR) antenna. Glucose concentration in blood is the direct indicator of Diabetes disease. The designed microstrip antenna operates in range of 2-5 Ghz and has a resonance frequency of 3.35 Ghz when simulated. When the antenna is excited, blood acts as dielectric load to it. Hence the glucose concentration of blood affects the resonant frequency and amplitude at resonant frequency of the s21 parameter of the antenna. Using this information, we can estimate the glucose concentration of blood sample. Debye model was used to model the blood. It is effective in detecting glucose concentration of Type-2 diabetes (70-120 mg/dL). The amplitude sensitivity is 0.58 dB(mg/ml) and frequency sensitivity is 583 Mhz/(mg/ml). 05 30 2021 127 130 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G9041.0510721 https://www.ijitee.org/portfolio-item/G90410510721/ Student, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune (Maharashtra), India. Manasi Bansode Siddhi Pardeshi Student, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune (Maharashtra), India. Suyasha Ovhal Student, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune (Maharashtra), India. Pranali Shinde Student, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune (Maharashtra), India. Anandkumar Birajdar Professor, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune (Maharashtra), India. Online reviews can be deceptive or manipulative evaluations of services and products which are often carried out deliberately for manipulation strategy to mislead the readers. Identifying such reviews is an important but challenging problem. There are even some associations in the merchandise industry who are hiring professionals to write fake reviews so that they can promote their products or defame rivals products. Hence we aim to develop a method which will detect fake reviews and remove them. The proposed method classifies users’ reviews into suspicious, fake, positive and negative categories by phase-wise processing. In this paper, we are processing hotel reviews by using different data mining techniques. Moreover the reviews obtained from users are being classified into positive or negative which can be used by a consumer to select a product. Organizations providing services can monitor customer sentiments by scrutinizing and understanding what the customers are thinking about products through reviews. This can help buyers to purchase valuable products and spend their money on quality products. Also in our model end users see star ratings based on reviews for each hotel. 05 30 2021 143 151 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G9042.0510721 https://www.ijitee.org/portfolio-item/G90420510721/ Department of Computer Science, Patna Women’s College, India. Deepa Sonal Dina Nath Pandit Department of Zoology, VKS University, Arrah, India. Md. Alimul Haque Department of Computer Science, VKS University, Arrah, India. Covid-19 is a pandemic that has swept the globe since the end of 2019. Scientists are working around the clock to create a vaccine to combat the Coronavirus. People are now monitored using smart-phone and web-based software. The Internet of Things (IoT) refers to items that have sensors embedded in them. To check the spread of Covid-19, the IoT can be used. Social Distancing breaks the chain of spreading. It has an effect not only on healthcare spending but also on the speed at which infected patients recover. IoT can be used efficiently for maintaining social distance. As a result, the current research aims to define, analyze and highlight the inclusive applications of the IoT philosophy by providing a perspective roadmap to combat the COVID-19 pandemic by maintaining social distancing. Reviewing the literature, a real-time detecting and alerting method for the COVID-19 condition monitoring is proposed. 05 30 2021 152 157 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G9052.0510721 https://www.ijitee.org/portfolio-item/G90520510721/ Research Centre of Natural and Applied Sciences, Department of Computer Science, Raja Narendralal Khan Women’s College, Midnapore (West Bengal), India. D. K. Patra S. Mondal Department of Mathematics, Raja Narendralal Khan Women’s College, Paschim Medinipur (West Bengal), India. P. Mukherjee Department of Mathematics, Hijli College Kharagpur (West Bengal), India. For cancer detection and tissue characterization, DCE-MRI segmentation and lesion detection is a critical image analysis task. To segment breast MR images for lesion detection, a hard-clustering technique with Grammatical Fireworks algorithm (GFWA) is proposed in this paper. GFWA is a Swarm Programming (SP) system for automatically generating computer programs in any language. GFWA is used to create the cluster core for clustering the breast MR images in this article. The presence of noise and intensity inhomogeneities in MR images complicates the segmentation process. As a result, the MR images are denoised at the start, and strength inhomogeneities are corrected in the preprocessing stage. The proposed GFWA-based clustering technique is used to segment the preprocessed MR images. Finally, from the segmented images, the lesions are removed. The proposed approach is tested on 5 patients’ 25 DCE-MRI slices. The proposed method’s experimental findings are compared to those of the Grammatical Swarm (GS)-based clustering technique and the K-means algorithm. The proposed method outperforms other approaches in terms of both quantitative and qualitative results. 05 30 2021 170 182 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G9054.0510721 https://www.ijitee.org/portfolio-item/G90540510721/ B. Tech, Department of Civil Engineering and MBA, XIM University, Bhubaneswar (Odisha), India. Mr. Amlan Das We are amidst a noteworthy change with respect to the manner in which we make items, because of the digitization of assembling. This change is convincing to the point that it is being called Industry 4.0 to speak to the fourth insurgency that has happened in assembling. Industry 4.0 is flagging an adjustment in the conventional assembling scene. Otherwise called the Fourth Industrial Revolution, Industry 4.0 envelops three mechanical patterns driving this change: network, insight and adaptable robotization. Industry 4.0 portrays the developing pattern towards computerization and information trade in innovation and cycles inside the assembling business, including: The Internet of Things (IoT), The Industrial Internet of Things (IIoT), Cyber-physical Systems (CPS), Smart Manufacturing, Smart Factories, Cloud Computing, Additive Manufacturing, Big Data, Robotics, Cognitive Computing, Artificial Intelligence and Block chain and so forth. This mechanization makes an assembling framework whereby the machines in manufacturing plants are increased with remote network and sensors to screen and picture a whole creation cycle and settle on independent choices. In this paper we are worry about how aptitude and ability of human asset can be grown with the goal that we can conquer this pandemic circumstance effectively. Delicate abilities for taking care of these forthcoming new innovation inserted framework must be taken consideration and carefully instilled by human asset with the goal that simple smooth of efficiency just as hole crossing over of flexibly and request can be conceivable. Skill development should be considered as prioritizing factor for this. 05 30 2021 158 169 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G9058.0510721 https://www.ijitee.org/portfolio-item/G90580510721/