-74813b3e17f460286df-5265 20220409033858555 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 03 30 2020 8 6 Department of Civil Engineering, Faculty of Engineering, University of Muhammadiyah Jember, Jember, 68121, Indonesia. Muhtar* Hanafi Faculty of Teacher Training and Education, University of Muhammadiyah Jember, Jember, 68121, Indonesia Aditya Surya Manggala Department of Civil Engineering, Faculty of Engineering, University of Muhammadiyah Jember, Jember, 68121, Indonesia. Suhartinah Department of Civil Engineering, Faculty of Engineering, University of Muhammadiyah Jember, Jember, 68121, Indonesia. Irawati Department of Civil Engineering, Faculty of Engineering, University of Muhammadiyah Jember, Jember, 68121, Indonesia. Pujo Priyono Department of Civil Engineering, Faculty of Engineering, University of Muhammadiyah Jember, Jember, 68121, Indonesia. Indonesia is an archipelago that has abundant natural resources, however, problems arise in the process of utilizing natural resources, namely the emergence of natural disasters that have the potential to cause serious damage in several areas. The threat of floods and landslides in watersheds has become the main focus to be addressed as early as possible with the best solutions and planning. The use of topographic imaging in the field of remote sensing is one solution that is very useful in developing better natural disaster management systems. With the support of the use of the watershed transformation method, this study aims to obtain geographical situation data, both from the flow dimensions and slope conditions that affect the watershed discharge capacity. Thus, the risk of natural disasters can be minimized both from the level of material and non-material damage as early as possible. 03 30 2020 3875 3878 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9453.038620 https://www.ijrte.org/portfolio-item/F9453038620/ Computer Engineering, Dwarkadas Jivanlal Sanghvi College of Engineering, Mumbai, India. Viral Tagdiwala* Muhammad Umair Siddiqui Computer Engineering, Dwarkadas Jivanlal Sanghvi College of Engineering, Mumbai, India. Juhi Shah Computer Engineering, Dwarkadas Jivanlal Sanghvi College of Engineering, Mumbai, India. Maithili Bhuta Computer Engineering, Dwarkadas Jivanlal Sanghvi College of Engineering, Mumbai, India. Kriti Shrivastava Computer Engineering, Dwarkadas Jivanlal Sanghvi College of Engineering, Mumbai, India. Air Quality is at a steady state of decline throughout the world. While the Indian government, in particular, has been deploying monitoring stations across multiple cities to not only monitor but also establish a cause and effect relationship when it comes to air pollution, these monitoring stations clearly, don’t suffice the actual demands for building a robust model for Air Quality Index. Our goal here is to reduce costs in terms of hardware deployment while, at the same time, provide a higher number of data points of collection on pre-existing infrastructure. The project aims at calculating the air pollution factors at the suburban level using Vehicular Emissions. The idea is to identify the number and type of vehicles from a video feed and then estimate the vehicular pollution levels using the data collected. 03 30 2020 4177 4181 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9454.038620 https://www.ijrte.org/portfolio-item/F9454038620/ Asst. Professor, Mechanical Engineering Department, Dr. Babasaheb Ambedkar , College Of Engineering & Research Nagpur Vijay Khawale* Abhishek Mandaogade Pursuing Degree, mechanical engineering, Rashtrasant Tukadoji Maharaj Nagpur University Abhishek Mishra Pursuing Degree, mechanical engineering, Rashtrasant Tukadoji Maharaj Nagpur University kartik Wakalkar Pursuing Degree, mechanical engineering, Rashtrasant Tukadoji Maharaj Nagpur University Mayur Khobragade Pursuing Degree, mechanical engineering, Rashtrasant Tukadoji Maharaj Nagpur University In many small scale industries General Purpose radial drill machine is used for drilling. On which many jobs are performed by just changing the tool. A special table is required to place the tool. Tables consume a large floor space. To overcome this problem there is a need to design a multi tool holding attachment for radial drill machine. The main purpose of this paper is to design a multi tool holding attachment for radial drill machine. The best solution for this is use of multi tool holding attachment. Here the multiple tools holding attachment can be fixed on the column of the radial drill machine. At a time four tools can be placed on the tool holder. The attachment can revolve about the axis of the column of the radial drill machine. Installing this attachment will reduce the required of floor space. The analysis of the multi tool holding attachment was done on Ansys software. It will also reduce the fatigue to worker which is caused due to regular bending, for changing the tool. Reduction in fatigue improves the decision making quality of the worker and improve his productivity. It’s easy installation and rigid design make it durable and cost efficient. 03 30 2020 4044 4047 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9455.038620 https://www.ijrte.org/portfolio-item/F9455038620/ department of Computer Science and Engineering, LBS Institute of Technology for Women. Devika S Lekshmy P L department of Computer Science and Engineering, LBS Institute of Technology for Women. In this world of emerging applications of software, it is always important to provide a quality assured product to customers. Software Fault Prediction popularly abbreviated as SFP is a major field which helps to provide quality assured products to customers. It helps to recognize modules that are bug- free and bug-prone in a software module. Machine learning techniques for both classification and determination are used for the purpose of software fault prediction. Software Fault Prediction is carried out prior to testing process without executing the source code, instead vital characteristics of software is taken into consideration. This early identification of faults can help software engineers to reduce the risk of system failure. A company does not always prefer to invest more expense on testing and in those situations, software fault prediction can have an upper hand in testing. The software fault prediction model will first train the learning techniques to generate base learners and then apply these base learners to unseen projects. It is always preferred to determine the count of faults rather than classifying each software module as fault-free and fault-prone. All software fault prediction techniques depend on base learners used and also nature of fault dataset. In this paper, the major learning techniques to determine software fault, characteristics of software fault dataset, etc. are discussed. 03 30 2020 4048 4053 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9456.038620 https://www.ijrte.org/portfolio-item/F9456038620/ Asst. Professor, Department of IT, MGIT, Hyderabad, India. Mrs. U. Chaitanya* Ms. K.V. Sunayana PG student, IT Department, MGIT, Hyderabad, India. Now-a-days the internet has become more common in our lives. It can connect us more easily to information and other people in a virtual world. Mobile phones turned into smart phones and since then this concept has erupted and morphed into Internet of Things (IOT). IOT is a network of objects or things that are embedded and enables the objects to collect and exchange data. So the objects can become even smarter day-by-day. For example, mirrors provide a large surface to display information and to interact with. Everyone have mirrors at homes, schools, offices etc., thus the concept of smart mirror can be attractive and also been fantasized in futuristic movies. A smart two-way mirror is a science fiction and a part of optimistic vision of future and imagines a world which has screens and data that are available everywhere, ready to provide whatever information is needed at any moment. The main purpose of the system is to use it as a hands free product with an electronic display. When voice or camera is enabled, the smart mirror is used to view different kinds of information such as weather, time, date and news feed automatically. Voice assistant system is used to enable Google search engine, Google calendar and notifications based on user’s commands. Camera controlled system is used as a security surveillance camera. So, the voice assistant along with camera is integrated to the two-way mirror converts the functionality of normal mirror into an Interactive Smart Mirror. 03 30 2020 4054 4060 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9464.038620 https://www.ijrte.org/portfolio-item/F9464038620/ AIIT, Amity University, Lucknow, India Pawan Saxena* Rajiv Pandey AIIT, Amity University, Lucknow, India Unremitting generation of data by various data analytics platforms, ubiquitous ,edge nodes and social networks in the concurrent scenario has shaped the exceptional amount of data in volume, velocity, veracity, variety and value. Exceptional data have made traditional information technology and method unfeasible to cope up amid. This exceptional data has been termed as Big Data. Social media is one of the most important sources of Big Data. social media is a constituent of Big Data. Besides Big Data plays a vital role in moving forward the Social Networking Applications to innovate and enhance the experience of users. Various technologies are factored for Big Data storage, processing and analysis in the context of social networking. This paper investigates these technologies which are being used by social networking applications with their relevance to the end users. The research article provides a relevance computation of various social media platforms. It further summarizes a visualization of the use of the platforms in their contribution to the big data. 03 30 2020 4142 4186 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9468.038620 https://www.ijrte.org/portfolio-item/F9468038620/ Department of Computer Science and Information Technology, Sam Higginbottom University of Agriculture, Technology and Science (SHUATS), Allahabad, UP. India Prateek Mishra* Sanjay Kumar Yadav Department of Computer Science and Information Technology, Sam Higginbottom University of Agriculture, Technology and Science (SHUATS), Allahabad, UP. India Due to decentralization of Internet of Things(IoT) applications and anything, anytime, anywhere connectivity has increased burden of data processing and decision making at IoT end devices. This overhead initiated new bugs and vulnerabilities thus security threats are emerging and presenting new challenges on these end devices. IoT End Devices rely on Trusted Execution Environments (TEEs) by implementing Root of trust (RoT) as soon as power is on thus forming Chain of trust (CoT) to ensure authenticity, integrity and confidentiality of every bit and byte of Trusted Computing Base (TCB) but due to un-trusted external world connectivity and security flaws such as Spectre and meltdown vulnerabilities present in the TCB of TEE has made CoT unstable and whole TEE are being misutilized. This paper suggests remedial solutions for the threats arising due to bugs and vulnerabilities present in the different components of TCB so as to ensure the stable CoT resulting into robust TEE. 03 30 2020 5712 5718 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9469.038620 https://www.ijrte.org/portfolio-item/F9469038620/ PhD candidate , - Structural Engineering Department Ain Shams University., Egypt Ahmed M. Ibrahim* Tamer H.Radwan Assistant Professor - Structural Engineering Department - Ain Shams University. Sherif A.Ibrahim Professor of Steel Structures and Bridges - Structural Engineering Department - Ain Shams University. Abdelrahim K.Dessouki Professor of Steel Structures and Bridges - Structural Engineering Department - Ain Shams University. As the use of circular hollow section (CHS) is growing due to its aesthetic shape, attention should be given to its connections. Splicing the CHS is essential for its use as long flexural member. This research investigates the behavior of flanged CHS splice under pure bending. A finite element study is conducted to investigate the behavior of flanged splice with eight bolts arrangement and three different diameters. The finite element model is verified against experimental results. It showed good agreement in terms of both ultimate moment and flexural stiffness. Three different modes of failures are observed and investigated. Generally, mode of failure depends on the thickness of the end plate. Results of different end plate thicknesses is presented and the transition thickness between different modes is determined. 03 30 2020 4434 4438 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9470.038620 https://www.ijrte.org/portfolio-item/F9470038620/ Mechanical Engineering Department, SRMIST, Chennai, India. A.C. Arun Raj* S. Senkathir Mechanical Engineering Department, SRMIST, Chennai, India. V. Thulasikanth Mechanical Engineering Department, SRMIST, Chennai, India. T. Geethapriyan Mechanical Engineering Department, SRMIST, Chennai, India. Kunal Goyal Mechanical Engineering Department, SRMIST, Chennai, India. Composites are preferred due to their unique ability of being lighter as well as possessing good mechanical properties. On the other hand, the need of the hour is sustainable development. This article aims to combine the properties of composites with the eco-friendly concept of sustainable development and also to find the right mix of artificial and natural reinforcement fibers, such that the mechanical properties are not affected, and the composites can still be functional while being eco-friendly. Three different specimens with varying proportions of Carbon fiber and Kenaf fiber as reinforcement and Polyester resin as the matrix were fabricated. Vacuum Infusion Moulding was used as the method of fabrication. In the fabricated specimen Tensile, Flexural, Impact, Hardness and Water Absorption tests were performed to evaluate their mechanical properties. The results were tabulated and compared. The comparison allows us to find the optimum combination of the Carbon and Kenaf fibers which can be used without compromising on the mechanical advantages composites offers. 03 30 2020 4187 4190 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9481.038620 https://www.ijrte.org/portfolio-item/F9481038620/ Faculty, Department of Mechanical Engineering, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur, Kancheepuram S Senkathir A C Arun Raj Faculty, Department of Mechanical Engineering, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur, Kancheepuram Shyamsunder R Faculty, Department of Mechanical Engineering, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur, Kancheepuram Kameshwaran J Faculty, Department of Mechanical Engineering, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur, Kancheepuram Nagu Aravind N S Faculty, Department of Mechanical Engineering, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur, Kancheepuram Wear is an influencing parameter which reduces the overall life of a machine and its parts. The wear rate and coefficient of friction under the same conditions of speed, load, lubrication and time were calculated for a set of materials used as journal bearings. Since journal bearings are important in a variety of applications, a wise selection of material with a constant low wear rate and low coefficient of friction is essential. The four materials tested for this purpose include Molybdenum Disulphide (MoS2), Stainless Steel (SS 304), Nylon 66, INCONEL 625. The basic methodology for determining wear and friction of these materials involves the use of a pin-on-disc test apparatus. The materials taken for testing are made into a pin of diameter and length 8 mm and 25 mm respectively. Scanning Electron Microscope (SEM) analysis and surface roughness measurements were carried out to study the properties. Hence, INCONEL 625 was found to be the ideal material for journal bearing applications due to its low wear rate, no fluctuation in wear rate, lower coefficient of friction and better mechanical properties compared to others. 03 30 2020 4392 4399 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9483.038620 https://www.ijrte.org/portfolio-item/F9483038620/ Assistant Professor, Department of CSE, University College for Women, Osmania University (OU), Hyderabad, India. B. Nagaraju Dr. P. Ramkumar Professor Department of CSE, University College of Engineering, Osmania University (OU), Hyderabad, India. Given the current use of the Internet, The most important thing is to provide security to the user's information. Many encryption algorithms already exist for this purpose. Here we discussed a new process called Mahaviracharya Encryption Standard. MES is a symmetric encryption algorithm. Here, this algorithm is cryptanalyzed, and compared with blowfish algorithm. MES algorithm can be used instead off algorithms like AES, Blowfish etc. 03 30 2020 5759 5764 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9485.038620 https://www.ijrte.org/portfolio-item/F9485038620/ Department of Mechanical Engineering, Vidyavardhaka College of Engineering, Mysore, Karnataka Amith A Kulkarni* M K Punith Prasad Department of Mechanical Engineering, Vidyavardhaka College of Engineering, Mysore, Karnataka Manjunatha s bilagi Department of Mechanical Engineering, Vidyavardhaka College of Engineering, Mysore, Karnataka Rishi J P Department of Mechanical Engineering, Vidyavardhaka College of Engineering, Mysore, Karnataka Dr. S A Mohan Krishna Department of Mechanical Engineering, Vidyavardhaka College of Engineering, Mysore, Karnataka Amruth E* Department of Mechanical Engineering, Vidyavardhaka College of Engineering, Mysore, Karnataka The work in this paper is focused , about the sugarcane harvesting machine, as India is considered as one of the higher consumers and producers of sugarcane and its by products and to due to huge population, there is a high demand of sugarcane and to meet the demand of population, large scale production has to be adopted, hence for farming and harvesting the sugarcane an automated, low cost harvester is necessary for the farmers to reduce the efforts of sugarcane harvesting and to increase the rate of sugar cane cutting. This machine will be helpful for the farmers having both small and big farms, the work on this paper was carried to identify the major options along with the opportunities and major chances for future enhancement in the field of agriculture industries. 03 30 2020 5265 5268 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9490.038620 https://www.ijrte.org/portfolio-item/F9490038620/ Student, Department of Computer Science, Northern Illinois University, DEKALB, USA. Gopi Vinyas Musunuru* Virtual Reality, Augmented Reality and other such immersive environments have gained popularity with the increase in technological trends in the past decade. As they became widely used, the human computer interface design and the designing criteria emerges as a challenging task. Virtual and Augmented Reality provide a wide range of appli-cations ranging from a primitive level like improving learn-ing, education experiences to complex industrial and medical operations. Virtual reality is a viable alternative that can be focussed on, in the future interface design development be-cause it can remove existing generic and complex physical interfaces and replace them with an alternative sensory re-layed input form. It provides a natural and efficient mode of interaction, that the users can work with.Virtual and Aug-mented reality eradicates the need for development of differ-ent acceptable standards for user interfaces as it can provide a whole and generic interface to accommodate the work set-ting.In this paper, we investigated various prospects of appli-cations for user interaction in Virtual and Augemnted reali-ties and the limitations in the respective domains. The paper provides an outline on how the new era of human computer interaction leading to cognition-based communications, and how Virtual and Augmented realities can tailor the user needs and address the future demands which replaces the need for command-based interaction between the humans and com-puters. 03 30 2020 4667 4673 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9494.038620 https://www.ijrte.org/portfolio-item/F9494038620/ Bachelor degree,Loughborough University, United Kingdom, Alim Chandra* Alvin Sebastian Agis Bachelor of Economy from Prasetiya Mulya University. Giovani Sutanto Bachelor degree, Visual Communication Design, BINUS University The non-surgical cosmetic procedure is defined by ISAPS as an effective and safer procedure for people that want a more subtle improvement, enhancing surgical results or minimize recovery time of a procedure, which often does not require extensive training to perform compared to the surgical sector as it has higher risks. ISAPS reported that the number of non-surgical cosmetic procedures has increased 51.4% from 2011 and 2017. Despite this growth, little is known about factors that prompt the willingness to consider non-surgical cosmetic procedures. Addressing this issue, this study focuses on facets of objectified body consciousness (i.e., body surveillance, body shame, appearance anxiety) and tripartite influence model features (i.e., appearance pressure, internalization through comparison, body dissatisfaction) combined with the Theory of Planned Behavior (i.e., attitude and intention) towards considerations of non-surgical cosmetic procedures. The study is conducted through online quantitative questionnares adopted from previous researches, on a sample size of 271 Indonesians based on Cochran’s formula, specifically those living in Jakarta. In line with previous research on similar practices of beauty industry (e.g., cosmetic surgery), analyses indicated that non-surgical cosmetic procedure consideration was related to the objectified body consciousness and most of the tripartite influence features. Findings highlighted that body shame and facial appearance concern is the strongest predictor. These findings will be able to help marketers to account for variability in willingness to consider non-surgical cosmetic procedure and aligned their strategies accordingly and effectively. 03 30 2020 4661 4669 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9499.038620 https://www.ijrte.org/portfolio-item/F9499038620/ Bachelor’s Degree in Computer Science, Mathematics and Electronics. Bharath A* People with the inability to speak, use sign language for communication. Ordinary people usually find it very difficult to communicate with mute people due to their lack of understanding of the universal sign language. This paper aims to provide a solution for this very problem through a device that uses an Arduino Uno board, some flex sensors and an Android application to facilitate interaction amongst the users. The flex sensors detect the movements and gestures of the wearer and based on the established conditions for the different values generated, respective messages are sent using a Global System for Mobile (GSM) Module to the user’s android device which translates the text message to speech. The GSM module also attempts to create parameters for gesture predictions by sending sensor inputs to a cloud-based server for future reference. The application is ever learning and continues to evolve to be more reliable by examining user behaviours at all times. The use of this device allows mute people to convert sign language to speech, thereby making it significantly easier to talk to others, especially those who do not know sign language. This device empowers mute people and opens them up to previously unattainable opportunities. 03 30 2020 4191 4194 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9502.038620 https://www.ijrte.org/portfolio-item/F9502038620/ ECE Departments, Velalar College of Engineering and Technology,Erode-638012, Tamilnadu, India, Vijayan. M* Jeevitha M ECE Departments, Velalar College of Engineering and Technology,Erode-638012, Tamilnadu, India, Sharmiladevi V ECE Departments, Velalar College of Engineering and Technology,Erode-638012, Tamilnadu, India Yuvasri S ECE Departments, Velalar College of Engineering and Technology,Erode-638012, Tamilnadu, India The sun arranged essentialness is changed over to electrical imperativeness by photo voltaic cells. This imperativeness is taken care of in batteries during day time for utilizing the comparable during night time. Likewise wind essentialness is changed over to electrical imperativeness by a generator-turbine plan and driven by wind power This task manages a controlled charging component which over charge, profound release and under voltage of the battery. Right now sun powered board and a breeze turbine is utilized to charge a battery. A lot of operation amps or arduino are utilized as comparators to constantly screen board voltage, load current and so on.Signs are additionally given by a green LED to completely energized battery while a lot of red LEDs to demonstrate under charged, over-burden and profound release condition. Charge controller likewise utilizes MOSFET as force semiconductor change to guarantee remove the heap in low battery or over-burden condition. A transistor is utilized to sidestep the sunlight based vitality to a fake burden while the battery gets completely energized. This shields the battery from getting over charged. 03 30 2020 5768 5772 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9512.038620 https://www.ijrte.org/portfolio-item/F9512038620/ E&TC department, Bharati Vidyapeeth (deemed to be) University College of Engineering, Pune, India. Prof. A Y. Prabhakar* Sahil E&TC department, Bharati Vidyapeeth (deemed to be) University College of Engineering, Pune, India. Aditi Dadhich E&TC department, Bharati Vidyapeeth (deemed to be) University College of Engineering, Pune, India. Deepak Sharma E&TC department, Bharati Vidyapeeth (deemed to be) University College of Engineering, Pune, India. Many times, due to carelessness of nurses, huge number of patients and inattentiveness of hospital staff, some of the patients go unmonitored, that could lead to pretty serious situation. The IoT is the network of objects embedded with electronics, wireless sensors and network connectivity that enables such objects to collect and exchange data. The IoT and WSN allow objects to be sensed, monitored and controlled remotely using networks. Smart healthcare plays really important role in healthcare applications using wireless sensors. In this paper we have used a system which includes combination of wireless sensor technology and IoT. Using this system one can easily monitor a number of patient data at the same time and cases of emergency can be reported and medication can be provided on time. 03 30 2020 5274 5278 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9518.038620 https://www.ijrte.org/portfolio-item/F9518038620/ School of Computer Engineering and technology, MIT World Peace University, Pune, Maharashtra, India. Prasad Thakar* Dr. Siddhivinayak A Kulkarni School of Computer Engineering and technology, MIT World Peace University, Pune, Maharashtra, India. Skin cancer is typically growth and spread of cells or lesion on the uppermost part or layer of skin known as the epidermis. It is one of rarest and deadliest found type of cancer, if undetected or untreated at early stages may lead in patient’s demise. Dermatologists use dermatoscopic images to identify the type of skin cancer by identification of asymmetry, border, colour, texture & size mole or a lesion. This method of detection can also be applied using machine learning techniques for classification these images into respective of cancer. There have been various studies and techniques which have been proposed various researchers across the globe in order to improve the classification of these dermatoscopic images. The proposed studies primarily focus on classification of dermatoscopic images based on lesion’s colour and texture features followed by intelligent machine learning approaches. Advances in these machine intelligent approaches such as deep neural networks and convolutional neural networks can be applied on dermatoscopic images to identify their features. A CNN based approach provides a additional accuracy over feature extraction as the algorithm is applied on pixel in overall image size. CNN also provides the ability to perform huge chunk of mathematical operations which is basic requirement in case of image processing and machine learning. The CNN based algorithm can be used to classify the dermatoscopic images with better efficiency and overall accuracy with having power of artificial-neural-network. 03 30 2020 4496 4500 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9519.038620 https://www.ijrte.org/portfolio-item/F9519038620/ Professor, Department of Mechanical Engineer, National University, Trujillo-Peru. Dr. Víctor Alcántara A* The effect of friction welding (FRW) in joints of medium and low carbon steels on its mechanical properties and microstructure was studied. AISI 1020 and 1045 steel bars of 12 mm diameter were used. Welding was carried out on a lathe with coupling to control the process parameters. For 1045/1045 joint, the following parameters were used: n = 1400 rpm, Friction pressure Pf = (0.8 - 1.0) MPa; Friction time (Tf) = 8 sec; Upsetting pressure (Pr) = 5 MPa; Upsetting time (Tr) = 5 sec, were used. For 1020/1045 joints the parameters that only varied were: n = (1000 - 1400) rpm; Pf = (0.7-0.8-1.0) MPa. Tensile tests were carried out on the IMSTRON UNIVERSAL machine under ASTM E8 standard. Microhardness tests were carried out on (HV) 0.5 scale, making a longitudinal and transverse scanning profile. Microscopy at the optical (OM) and electronic SEM levels, with analysis (EDS) was revealed. It was found for similar joints: a higher value of (Pf) increases the mechanical resistance (σrm), but for dissimilar joints decreases it. Welding efficiency of similar joints was 94% and for dissimilar joints 97.5% with regard to 1020 and 74% with regard to 1045. For dissimilar joints, a higher speed “n” increases σy, and σrm, with little effect on “ɛ”. In similar joints the microhardness is maximum in the center, and for the dissimilar ones it is not. Longitudinal and transverse microhardness profiles do not follow a defined pattern with respect to Pf. For both types of joints, the microstructure shows, that FDRZ joint zone, has variable thickness and has a fully recrystallized fine-grain structure. TMAZ deformation zone, a structure of deformed grains and dark grains is observed, the latter, due to the excess carbon produced by diffusion. In both cases, no intermetallic compounds have been produced, and perlite colonies is not observed in these two zones. 03 30 2020 5176 5185 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9522.038620 https://www.ijrte.org/portfolio-item/F9522038620/ Dept of ISE, AJ Institute of Engineering and Technology Mangalore affiliated to VTU, Belgaum, India. John Prakash Veigas* M Sharmila Kumari Dept of CSE, PACE, Mangalore, India. Gnane Swarnadh Satapathi Dept of ECE, AJIET Mangalore, India. In the field of biometrics, palmprint recognition has received great interest and made tremendous progress in the past two decades. In palmprint recognition, the important step is to extract the discriminative features from the image and compare it with templates for identification and verification tasks. In this paper, a new genetic-based 2D Gabor filter with the Convolutional Neural Network is presented. The scale and orientation details captured by Gabor filters are optimized based on central frequency, which is determined based on genetic algorithm fitness function. The proposed technique is implemented on four publicly available palmprint datasets- PolyU, CASIA, IITD, and Tongji. Experimental results confirm that the proposed technique achieves better accuracy when compared to Palmnet. 03 30 2020 4895 4896 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9524.038620 https://www.ijrte.org/portfolio-item/F9524038620/ (Ph.D.Student) Civil,The Maharaja Sayajirao University of Baroda, Vadodara, India. A.L. Guruji* Dr.P.G. Agnihotri Civil,Sardar Vallabhbhai National Institute of Technology,Surat,India. Khapri watershed is mountainous region having average 2255 mm rainfall every year. In the last few months of hydrological year i.e. April & May, there is an acute shortage of drinking water. To overcome this short fall, it is necessary to manage natural watersheds available in the region. water harvesting is a system that collects rainwater from where it falls around its periphery rather than allowing it to go as runoff. The strategy of “Think Globally, Act Locally” should be used in this area for management of water. Local water that is rainwater stored using Rainwater Harvesting Structure and Conservation used optimally before it goes in drain or river.The subsurface reservoirs are very attractive and technically feasible alternatives for storing surplus monsoon runoff. But in the study region, this is not possible as there is a basalt rock. Recharging is not advisable as water table in post monsoon just touches ground level. So, Rainwater harvesting structures for direct use of water may be the possibly best solution.For community requirement rainwater may be stored in checkdams or depressed area naturally available. Construction of small barriers across small streams to check and store the running water also can be considered as water harvesting structure. This may fulfil the drinking water requirement of their cattles. Check dams in the watershed has been ascertain using Geospatial techniques and few of them verified by visiting the sites. In site visit it is found that open wells near the stream has water level above stream water level. At few places farming is done in check dam reservoir or in stream itself. 03 30 2020 4501 4503 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9525.038620 https://www.ijrte.org/portfolio-item/F9525038620/ Student Department of Computer Science and Engineering at Rajalakshmi Engineering College(Anna University). Srikanth S* Srivatsa K Student Department of Computer Science and Engineering at Rajalakshmi Engineering College(Anna University). Venkata Prabakaran S student in the Department of Computer Science and Engineering at Rajalakshmi Engineering College(Anna University). Revathy P Associate Professor, Rajalakshmi Engineering College. Managing traffic maintaining order is the most demanding tasks in the contemporary day and age. Emergency vehicles such as an ambulance face lot of hardships when they get stuck in traffic, valuable human life is lost due to poor traffic management. In this paper a model is proposed for calculating traffic heaviness on roads using processing techniques for images with ambulance detection system and controlling model for traffic signals with the information extracted from images of vehicles on roads captured by video camera. The traffic intensity depends on the total vehicles on the road. The proposed model counts the vehicles in the lane and checks for the presence of emergency vehicles , whenever an emergency vehicle is detected that particular lane is allowed to move and the signal is turned to green. 03 30 2020 4693 4696 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9526.038620 https://www.ijrte.org/portfolio-item/F9526038620/ Ph.D. in Electrical Engineering under the Department of Power Engineering, Jadavpur University, Kolkata. Suman Kumar Dey* Deba Prasad Dash Associate Professor, Department of Electrical Engineering, Government College of Engineering, Kalahandi. Mousumi Basu Professor at Power Engineering Department of Jadavpur Universty. In electric power plant operation, Economic Environmental Dispatch (EED) of a thermal-wind is a significant chore to involve allocation of production amongst the running units so the price, NOx extraction status and SO2 extraction status are enhanced concurrently whilst gratifying each and every experimental constraint. This is an exceedingly controlled multiobjective optimizing issue concerning contradictory objectives having Primary and Secondary constraints. For the given work, a Non-dominated Sorting Genetic Algorithm-II (NSGA-II) is recommended for taking care of EED issue. In simulation results that are obtained by applying the two test systems on the proposed scheme have been evaluated against Strength Pareto Evolutionary Algorithm 2 (SPEA 2). 03 30 2020 5186 5192 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9528.038620 https://www.ijrte.org/portfolio-item/F9528038620/ Research Scholar, Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai,TamilNadu,600119,India Manikandan G* Sakthi U Professor, Department of Computer Science and Engineering,St.Joseph’s Institute of Technology, Chennai, TamilNadu India. There are challenges abound for key management in wireless sensor networks. The importance of key management gets highlighted when the network gets scaled up without the availability of enough resources and new kind of threats in the form of node capture emerge. The economic viability of such schemes are usually high as the increase in security is directly proportional to the computational complexity, thus attributing to the high cost. In the wireless sensor infrastructure, nodes get connected with each other in wireless medium and can enter and exit the network at their will. Such aspect of entering and exiting paves the way for malicious nodes too to enter in to the network, making the entire network vulnerable to several types of attacks. One of the prominent attack is network jamming where the transmission lines gets jammed blocking the free flow of data as well as corrupting it. Such attacks on node and data transmissions can be avoided by increasing the security afforded to the entire WSN. In this regard, a novel key generation algorithm has been proposed in this paper using channel response technique, where the data hops from one channel to another in its transit from the source node to the destination node securing it from attacks. The Leap and Stop algorithm has been applied for channel hopping thus ensuring that the data traverses only for a small duration in each channel before hopping to the other channel. The channel hopping technique minimizes the probability of attack since before an active channel could be successfully predicted by the attacker, it becomes inactive and another channel gets activated. This channel hopping process continues till data reaches the destination safely without getting corrupted. The proposed approach had been compared for its efficiency and performance with Secure Key Generation using Frequency Selective Channels (SKGFSC) protocol and the results had been shown therewith. 03 30 2020 4709 4717 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9530.038620 https://www.ijrte.org/portfolio-item/F9530038620/ Research Scholar* , Department of CSE, JJT University, Jhunjhunu, Rajasthan, India. M. Swapna Dr.Yogesh Kumar Sharma Associate Professor, Department of CSE, JJT University, Jhunjhunu, Rajasthan,India. Dr. BMG Prasad Professor, Department of CSE, Holy Mary Institute.Hyderabad, India. Convolutional Neural Networks(CNNs) are a floating area in Deep Learning. Now a days CNNs are used inside the more note worthy some portion of the Object Recognition tasks. It is used in stand-out utility regions like Speech Recognition, Pattern Acknowledgment, Computer Vision, Object Detection and extraordinary photograph handling programs. CNN orders the realities in light of an opportunity regard. Right now, inside and out assessment of CNN shape and projects are built up. A relative examine of different assortments of CNN are too portrayed on this work. 03 30 2020 953 959 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9532.038620 https://www.ijrte.org/portfolio-item/F9532038620/ Department of Computer Engineering, Shah and Anchor Kutchhi Engineering College Mumbai University, India Jaspreet Singh Chima*. Abhishek Shah. Department of Computer Engineering, Shah and Anchor Kutchhi Engineering College Mumbai University, India. Karan Shah Department of Computer Engineering, Shah and Anchor Kutchhi Engineering College Mumbai University, India. Dr. Rekha Ramesh Associate Professor, Department of Computer Engineering, Shah and Anchor Kutchhi Engineering College Mumbai University, India. Malaria caused by the Plasmodium parasites, is a blood disorder, which is transmitted through the bite of a woman Anopheles mosquito. With almost 240 million cases mentioned each year, the sickness puts nearly forty percentage of the global populace at danger. Macroscopic usually take a look at thick and thin blood smears to identify a disease or a cause and figure it out what weakens them. However, the accuracy depends upon smear quality and awareness in classifying and counting parasite and non-parasite cells. Manual evaluation, which is the gold standard for diagnosis requires various steps to be performed. Moreover, this process leads to overdue and misguided analysis, even when it comes to the hands of expertise. In our project, we aim at building a robust, minimized reliance of humans, sensitive model for automated analysis of Malaria. A category of deep learning models, namely Convolutional Neural Networks, guarantee especially versatile and advanced outcome with end-to-cease attribute extraction and categorization. The precision, unwavering quality, velocity and cost of the methods utilized for malaria examination are key to the diseases’ cure and ultimate eradication. In this study, we compare the overall performance of pre- trained CNN primarily based DL model as characteristic extractors closer to classifying parasite and non-parasite cells to aid in progressed sickness screening. The highest quality model layers for attribute extraction from the underlying records, is determined experimentally. The dataset has a variety of Parasite and Non-Parasite pictures of blood samples. To achieve accurate outcome, we have selected certain dominating features such as size, color, shape and cell count from the images which will help in the categorization process. Pre-trained CNNs are used as a promising tool for attribute extraction; this can be determined by the outcome of its statistical validation. Given these developments, automated microscopy could be a very good deal in the chase towards a low-priced, effortless, and dependable method for diagnosing malaria. 03 30 2020 5553 5559 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9540.038620 https://www.ijrte.org/portfolio-item/F9540038620/ Assistant Professor, Department of Civil Engineering, KDK College of Engg., Nagpur, India P.S. Randive* D.P. Singh Principal, K.D.K. College of Engineering, Nagpur, India A.G. Bhole Ex-Emeritus Professor, Department of Civil Engineering, VNIT, Nagpur, India V.P. Varghese Professor, Department of Civil Engineering, KDKCE, Nagpur, India The demand for better quality drinking water gives inspiration for advancement in the functioning of water treatment processes. Jet mixing technology, widely adopted in Flocculation process is unique due to its advantages over mechanical stirrer or vanes. Jet flocculator take primacy, as it do not have any moving parts inside the reactor. The present experimental investigation focuses on the examination of jets in flocculation. Comprehensive study of various parameters such as nozzle diameter, angle of inclination, flow pattern and jet position in two geometrical shapes of flocculation chamber: Square and Circular. Effect of tank shapes on flocculation process is analysed and compared. 03 30 2020 5038 5041 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9542.038620 https://www.ijrte.org/portfolio-item/F9542038620/ Civil Engineering Department V R Siddhartha Engineering College , Vijayawada, India U.V.Narayana Rao* G Yaswanth Kumar Civil Engineering Department V R Siddhartha Engineering College, Vijayawada, India. K Srinivasa Rao Mechanical Engineering Department V R Siddhartha Engineering College , Vijayawada, India In structural building it is fundamental that the vision belief system of the designer in his plan stage meets in its execution. Its additionally essential to guarantee that so as to meet this necessity the measurement, materials and so on… , don't surpass according to the need, along these lines increasing the cost and request to be a finished designer. Tall structure, modern and business building which have a perplexing geometry are hard to examine and plan physically. In this manner it is very to utilize STAAD.PRO programming for the examination and structure. The standard goal of this venture is to investigation and plan of a multistoried G+3 building utilizing staad.pro. the structure has an all out developed zone of sq meter . Plan of the structure is created utilizing auto CAD. The plan includes load counts physically and examining the entire structure by STAAD.pro. The structure strategies utilized in STAAD-PRO investigation are limit state configuration fitting in with Indian standard code of training for configuration shafts, segments, and footings. The structure of part is completed utilizing sp16 configuration helps for strengthened cement and IS 456-2000 plain and fortified solid code of training. Nitty gritty basic drawing of the shafts, sections and balance are set up after all checks. The whole structure is an encircled structure with segments and pillars assembled solidly, framing a system. The investigation of the confined structure is done utilizing STAAD.pro .The casing comprises of pillars and segments .A model is created of the encircled structure and loads are applied on the individuals. The loadings are received according to IS 875-1987 Design of burdens for structures and structures. 03 30 2020 4504 4512 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9546.038620 https://www.ijrte.org/portfolio-item/F9546038620/ Assistant professor of Information Technology in SRM IST Ramapuram,Tamilnadu, India M. Vinodhini* Umang Sharma Department of Information Technology, SRM IST Ramapuram,Tamilnadu, India. Shubham Mishra Department of Information Technology, SRMIST Ramapuram , Tamilnadu , India. Sai Harshith Kumar Department of Information Technology, SRMIST Ramapuram , Tamilnadu , India. In This era of innovative world, an emerging technology called ChatBot is in huge demand as it’s is Customer experience in the future and the opportunity in the not too distant future to substitute search windows and many apps; ChatBot is a technology that communicates with people automatically by supplying them with details about your company and notifications directly through your messaging system.. ML allows the bot to learn itself without programming whereas NLP gives the bot an ability to understand human speech or text. ChatBot is an additional and new way for people to interact with your business more effectively. The answers are given by a ChatBot through a mix of predefined scripts and machine learning. Current chatbots are significantly complex because of the sophisticated underlying software and the data it accesses. We are building a Multilingual Chatbot as it engages users in their native language and boosts conversions. 03 30 2020 5538 5540 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9547.038620 https://www.ijrte.org/portfolio-item/F9547038620/ Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, Tamil Nadu, India. Jaeyalakshmi M* Dr. S Gnanavel Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, Tamil Nadu, India. Guhapriya K S Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, Tamil Nadu, India. Harshini Phriyaa S Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, Tamil Nadu, India. Kavya Sree K Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, Tamil Nadu, India The technology has always been an instigating factor in progress for human civilization which resulted in driving the customer services to a greater need. The enrichment of technology has amplified and embellished the customer interaction among various business to consumer sectors. These technological upgrading have a huge impact on the retail industry which is an ever-growing market with key competitors around the world. In a consortium of multiple competitors in the same business, the re-engagement of disinterested customers is essential rather than winning a new customer. The sustenance of a customer can be figure out by Churn Prediction. Churn prediction is a new promising method in customer relationship management to analyze customer retention in subscription-based business. It is the activity of identifying customer with a high probability to discontinue the company based on analyzing their past data and behavior. It looks at what kind of customer data are typically used, do some analysis of the features chosen, and initiate a churn prediction model. Thus, churn prediction is a valuable approach in identifying and profiling the customers at risk. 03 30 2020 5541 5545 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9550.038620 https://www.ijrte.org/portfolio-item/F9550038620/ AP/EEE, Bannari Amman Institute of Technology, Sathy, Tamilnadu, India. T Alex Stanley Raja* N Subha Lakshmi AP/EEE, Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India. KV Santhosh Kumar AP/EEE,Bannari Amman Institute of Technology, Tamilnadu, India. A Nandha kumar AP/EEE, Bannari Amman Institute of Technology, Sathy, Tamilnadu, India. Battery bank comprises of ‘N’ No. of. Battery pack where the required cells are connected in parallel and each pack will be made to connect both in series and parallel combination to attain a required voltage. Multi Secondary Coaxial Winding Transformer is used to maintain the battery in balanced condition. During charging and discharging of battery, each battery pack is connected to the secondary winding of transformer including Electronic Switches, Temperature Sensor, Voltage & Current Sensor. The voltage, current and temperature sensor is used to measure the parameters of each pack, from which the state of the health, state of the charge and temperature of the battery can be calculated. The voltage induced in the primary side is based on the switching frequency & duty cycle of the MOSFET. To compensate the required voltage needed by the load, a boost converter is connected to the system on the primary side of the system where the transformer will be coupled. The output is connected to the inverter that produces power to drive a BLDC motor. 03 30 2020 4697 4700 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9561.038620 https://www.ijrte.org/portfolio-item/F9561038620/ Department of Computer Science and Engineering, University of Kalyani, Kalyani, Nadia, W.B., India. Himadri Biswas* Dr. Debabrata Sarddar Department of Computer Science and Engineering, University of Kalyani, Kalyani, Nadia, W.B., India. Mr. Uddyalok Chakraborty Department of Computer Science, Sharda Mandir H.S. School under Banasthali Vidyapith (Deemed University), Banasthali, Tonk, Rajasthan, India. Due to enormous advancements in computer networks, people choose network-based computing rather than in-house computing. Cloud computing is one of the emerging technologies that is commonly accepted and very common in the industry. Cloud infrastructure's rising demand has significantly increased data center energy consumption. The growth of data centers will result not only in the consumption of a large amount of energy but also in the crucial effect on environmental sustainability in terms of CO2 emissions. Latest studies have shown that the electricity costs used by IT departments can be up to 50 per cent of an organization's overall energy costs. Reducing energy consumption has become a common topic of research in various fields in recent years. Environmental concerns such as greenhouse gas emissions, global warming and energy prices are significant factors that have driven many researchers to carry out computing-conscious work in the area of green and energy. Except for carbon emissions, Billing[1,2] is another exciting aspect that is closely linked to energy usage, since higher or lower billing depends on energy consumption somehow-as we know cloud providers allow cloud users to access services as pay-per-use, so these services need to be optimally chosen to process the user request to optimize customer satisfaction in the distributed virtue. There may be an inequity between the consumers' real energy usage and the providers' billing records, and any false claims that can be made by each other for unfair compensation. Considering all the above-mentioned issues, we are proposing a Sustainable Cloud Architecture "Environmental Viability as a Service (EVaaS)"-An Eco-friendly Cloud infrastructure for optimum usage of resources at minimum energy consumption with less carbon pollution, which in effect helps to allocate cloud users under respective Eco-friendly Service Providers. Here, the EVaaS cloud infrastructure is operated solely by the Environmentally Viable Service Provider (EVSP) without any consumer and service provider involvement. All must therefore be safeguarded against any false allegation which may be made by each other in order to seek unlawful compensation. 03 30 2020 5193 5202 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9568.038620 https://www.ijrte.org/portfolio-item/F9568038620/ Phd, Computer Science Engineering, RKDF Institute of Science & Technology, SRK university, Bhopal, MP. Mr. Chetan Chaudhari Dr. Ravindra Kumar Gupta Associate Professor,Computer Science and Engineering Department, RKDFIST, BHOPAL, and M.P. India. Miss. Sapana Fegade Assistant Professor, Computer Science Engineering , JTMCOE. A roll of fabric with defects can have a depreciation of 45 to 65% with respect to the original price. While some commercial solutions exist, automatic fabric defect detection remains an active field of development and research. The goal is to extract the characteristics of the texture of the fabric to detect defects contained using image processing techniques. To date, there is no standard method which ensures the detection of texture defects in fabrics with high precision. In the following work, the use of Singular Value Decomposition (SVD), Local Binary Pattern (LBP) and Gray-Level Co-Occurrence Matrix (GLCM) features of images for the identification of defects in textiles is presented, where the application of techniques for pre-processing is presented, and for the analysis of texture LBP and the GLCM in order to extract features and segmentation is done using SVD approach. This model makes it possible to obtain compact and precise detection of the faulty texture structures. Our method is capable of achieving very precise detection and localization of texture defects in the images of the Fabric-Defect-Inspection-GLSR database, while ensuring a reasonable processing time. 03 30 2020 5356 5360 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9569.038620 https://www.ijrte.org/portfolio-item/F9569038620/ Civil Engineering Department, Assam Engineering College, Guwahati, India. Pragati Goswami* Diganta Goswami Civil Engineering Department, Assam Engineering College, Guwahati, India. Ranjeet Bahadur Singh Civil Engineering Department, Assam Engineering College, Guwahati, India. Pawan Kumar Singh Civil Engineering Department, Assam Engineering College, Guwahati, India. Sylvia Kashyap Civil Engineering Department, Assam Engineering College, Guwahati, India. The Head Race Tunnel (HRT) of Pare Hydro-Electric Power Project in Arunachal Pradesh, India, traverses through the Upper-Siwalik Sub-Group of the Sub-Himalayan Range, exhibiting spatial heterogeneity with respect to geotechnical and geological properties. In such complex geological set up, consisting of bedding planes, joints, fractures,varied hydrological conditions etc., prediction of rock mass quality or the characterization of the rock massis a difficult task. Although challenging, it is important to predict the general response of the rock massto tunnel excavation. This paper attempts to characterize Pare Rock Mass around the HRT, based on Rock Quality Designation (RQD), Terzaghi’s Rock Load Theory, Rock Structure Rating (RSR), Rock Mass Rating (RMR), and, Rock Mass Quality (Q) system. An attempt is also made to design the support system for HRT through Pare Rock Mass, based on these parameters. A critical examination of various support systems derived from the above mentioned methods and the support system actually provided at the HRT at Pare Hydroelectric Power Project is also presented in the paper. The study presented in this paper will providean insight about the suitability of a particular method in the design of support system in a rock mass similar to Pare rock mass. 03 30 2020 5546 5552 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9575.038620 https://www.ijrte.org/portfolio-item/F9575038620/ Electrical Engineering Department, JK Lakshmipat University, Jaipur, India. Jagdish Prasad Sharma* It is an important concern to supply uninterrupted power to consumer under competitive environment. Therefore, available reserve margin of substation transformer is utmost concerns for power utilities due to its direct effects on power quality, reliability and revenue loss. This research work focus on data analytics application to predict substation overloading assessment for integrated distribution system. This paper has developed three adaptive neural fuzzy interface system (ANFIS) to predict the available substation reserve margin by considering base case and different solar integration scenarios. The ANFIS models were trained and tested using stochastic data obtained from load flow computation for a modified IEEE 37 feeder. To train ANFIS models, input variables are taken as “voltage unbalance factor, feeder power loss to load ratio, maximum branch loading, voltage deviation, and minimum power factor”, while target variable is taken as substation reserve margin”. All predications of ANFIS models are compared with those values obtained from load flow computation. It was found that predicated results have good agreement with load flow computational data and R-squared value fall in the range of 0.9182 to 0.9173. The proposed research work is useful to predict operational performance of integrated solar distribution system in smart grid environment. 03 30 2020 5361 5364 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9577.038620 https://www.ijrte.org/portfolio-item/F9577038620/ U.G. Student Computer Department, Rajiv Gandhi Institute of Technology, Mumbai, India. Deven Pawar* Mihir Raul U.G. Student Computer Department, Rajiv Gandhi Institute of Technology, Mumbai, India. Pranav Raut U.G. Student Computer Department, Rajiv Gandhi Institute of Technology, Mumbai, India. Sharmila Gaikwad Asst. Professor, Rajiv Gandhi Institute of Technology, Mumbai, India. Visually impaired people are often unaware of dangers in front of them, even in familiar environments. Due to lack of vision either partial or complete, such people are highly dependent on the sense of hearing to perform day to day activities. One more form of vision impairment is colour blindness. Individuals with colour blindness find it hard to distinguish between colours. This research proposes making software that can help such individuals for solving the unawareness of the surrounding of the visually impaired people which allows them to have a greater awareness of their surroundings. The software needs an input device typically a camera and an audio feedback system. The camera will continuously capture images and the algorithm recognize the objects in the image and output the result using the audio feedback system. The system also proposes to include colour extraction to also correctly identify the colour of the object and a further addition is to identify individuals if enough datasets are provided. If any suspicious/dangerous objects detected in the surrounding the software will inform the user about the imminent danger. This study has analysed Faster R-CNN, SSD (Single Shot MultiBox Detector) and YOLO (You only look once) for their accuracy and rate of object detection. This research also studied different operating scenarios of the device which includes operation at night and operation in various orientations. The results of the object recognition system while using YOLO have an accuracy of 59.7% and 10fps during real-time operation, which is sufficient for assisting visually impaired people in realizing the types and localities of the objects around them. 03 30 2020 5365 5369 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9579.038620 https://www.ijrte.org/portfolio-item/F9579038620/ Faculty of Transportation Mechanical Engineering, The University of Danang – University of Science and Technology, Danang, Vietnam. Quoc-Thai Pham* Recently, in the context of increasing global energy demand and environmental problems, many researchers have proposed effective solutions for transportation in the current situation. Liquefied petroleum gas (LPG) has been considered as a preferred alternative fuel for spark-ignition (SI) engines. This study describes the development of an LPG injection system for an SI engine. The proposed system was based on the analysis of fuel requirement and metering for the engine operating with LPG, as well as the effect of engine parameters on the LPG flow rate. The system cooperates with the gasoline ECU to produce the signals controlling LPG injectors. An experiment was conducted with an SI engine under different conditions of loads and engine speeds. Experimental results showed that the LPG injection system adapted all test conditions, the engine ran smoothly at all test speeds and partial opening throttle. Fueling with LPG, engine torque and energy conversion efficiency were higher, whereas exhaust gas emissions such as HC, CO, and NOx were lower compared with that as fueled with gasoline. 03 30 2020 5203 5206 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9586.038620 https://www.ijrte.org/portfolio-item/F9586038620/ Electronics and Telecommunication Engineering, BMS Institute of Technology and Management, Affiliated to VTU, Bangalore, India. Thejaswini S* Dr. K M Ravi Kumar Principal and Professor Department of Electronics & Communication, Engineering, S J C Institute of Technology, Affiliated to VTU, Chickballapur, India. Human computer interaction is a fast growing area of research where in the physiological signals are used to identify human emotion states. Identifying emotion states can be done using various approaches. One such approach which gained interest of research is through physiological signals using EEG. In the present work, a novel approach is proposed to elicit emotion states using 3-D Video-audio stimuli. Around 66 subjects were involved during data acquisition using 32 channel Enobio device. FIR filter is used to preprocess the acquired raw EEG signals. The desired frequency bands like alpha, delta, beta and theta are extracted using 8-level DWT. The statistical features, Hurst exponential, entropy, power, energy, differential entropy of each bands are computed. Artificial Neural network is implemented using Sequential Keras model and applied on the extracted features to classify in to four classes (HVLA, HVHA, LVHA and LVLA) and eight discrete emotion states like clam, relax, happy, joy, sad, fear, tensed and bored. The performance of ANN classifier found to perform better for 4- classes than 8-classes with a classification rate of 90.835% and 74.0446% respectively. The proposed model achieved better performance rate in detecting discrete emotion states. This model can be used to build applications on health like stress / depression detection and on entertainment to build emotional DJ. 03 30 2020 5820 5825 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9588.038620 https://www.ijrte.org/portfolio-item/F9588038620/ Associate Professor in the Department of Electronics & Communication Engineering, University Institute of Technology, Rajiv Gandhi Proudyougiki Vishwavidyalaya, Bhopal, Madhya Pradesh. Mrs. Aparna Singh Kushwah Dr. Vineeta Saxena Nigam Professor & Head, Department of Electronics & Communication Engineering, University Institute of Technology, Rajiv Gandhi Proudyougiki Vishwavidyalaya, Bhopal, Madhya Pradesh. In this work, various spectrum sensing methods and algorithms are analyzed and their performance is been evaluated based on the different values of probabilities as obtained through MATLAB simulations. The work is been started from the analysis of the simplest single user sensing to advanced cooperative spectrum sensing and is further extended to CSS in AWGN noise and flat-fading channels. The results indicates that advanced cooperative spectrum sensing gives much better sensing decisions as compared to the results obtained by simulating single user sensing method. Simulation results obtained shows that Pd increases with Pf and also shows good values for SNR more than 0 dB. Also the Pd increases from 0.7 to 0.84 as we go from single user detection to CSS. 03 30 2020 5042 5046 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9593.038620 https://www.ijrte.org/portfolio-item/F9593038620/ Department of Science in Information Technology, Shinawatra University, Thailand. Salah Ali* Aekavute Sujarae Instructor, Department of Science in Information Technology, Shinawatra University, Thailand. Safety critical systems are systems whose failure could result loss of life, economic damage, incidents, accidents or undesirable outcome, but it is not doubt that critical system safety has improved greatly under the development of the technology as the number of hardware and software induced accidents has been definitely reduced, but number of human deviations in their decision making found in each accident range remains more. We deeply reviewed traditional human error approaches and their limitations and propose approach of Human Cognitive Bias Identification Technique (H-CoBIT) that identifies, mitigates human potential cognitive biases and generates safety requirements during the initial phase of system Design. This proposed method, analyses the design of safety critical systems from a human factors perspective. It contributes system analyst, designers, and software engineers to identify potential cognitive biases (metal deviations in operator’s decision-making process) during the system use. To ensure the validity of the proposed method, we conducted an empirical experiment to validate the method for accuracy and reliability comparing different experimental outcomes using signal detection theorem. 03 30 2020 5749 5758 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9598.038620 https://www.ijrte.org/portfolio-item/F9598038620/ Assistant Professor, Computer Science and Engineering, SET, MUST, Lakshamangarh Prevesh Kumar Bishnoi* Dr. Dharmender Kumar Professor, Department of Computer Science and Engineering, GJUS&T Hisar Mainly the frameworks are developed for the developers for rapid application development and less knowledge or without going in depth of a specific area of science and engineering. In this research an API framework for sensor communication using the concept of bit by bit communication has been proposed and tested. That can be used by the programmer and researchers for rapid application development and research. Design and development of APIs is in Java. Sensors used in the research and development are LM35, MQ7, MQ6 etc. All sensors are connected through microcontroller NodeMCU via Wi-Fi 802.11 protocol, Internet and HTTP server for web enablement of the process of data acquisition. All APIs or frameworks of this research will be integrated with the basic firmata4J or it will be available separately so that the user can use it in both the ways. The developed framework can be used for the rapid application development. Framework APIs will be solving the problem of controlling the devices by computer or cloud. In bit by bit communication with NodeMCU or microcontroller research, firmata4J methods make communication with NodeMCU firmata firmware as per the architecture of NodeMCU and pinout diagram according to standard I/O. But it has few limitations. Now there are two frameworks one is basic that is already available firmata4J and second is FirmSens4J. It is being developed in my research. It will be updating to firmata4J. 03 30 2020 4439 4446 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9604.038620 https://www.ijrte.org/portfolio-item/F9604038620/ MCA Department, Thakur Institute of Management Studies, Career Development & Research affiliated to University of Mumbai, Mumbai, India. Dr. Vinita Gaikwad* Pankaj Mudholkar* MCA Department, Thakur Institute of Management Studies, Career Development & Research affiliated to University of Mumbai, Mumbai, India. Manohar Khake Agricultural Consultant, Pune, India. In India approximately 80% of the total water is consumed for agriculture. India does not spend any money in conserving water consumed in agriculture. In the current scenario humans are concerned about potable water, more and more insufficient in relation to the increase of the population and as effect of pollution. Crops are watered using various irrigational methods with the ground water. Water consumption in irrigation also depends upon the crop which is cultivated. Sugarcane and rice cultivation consumes nearly 60% of the irrigation water. Further to ensure a bumper produce, farmers are encouraged to use chemical fertilizers. Many of these fertilizers give a promising crop produce but the after effects of consumption of such chemically treated produce leads to harmful effect on human health. Nevertheless, quite a many farmers are now focusing on Organic method of farming wherein chemical fertilizers are totally avoided. However, the produce under this method does not give a bumper crop produce. To tackle the problem of water waste during irrigation process, techniques like drip irrigation, dry farming, irrigation scheduling, and Smart irrigation using Information Technology are applied to ensure least wastage of irrigated water at the same time providing desirable conditions for bumper crop produce. To provide an alternate solution for reducing water wastage in irrigation and providing natural fertilizers to the crops, this research paper suggests the use of Smart Air Fertigation (SAF) without using fertilizers with the aid of Air Irrigation method. Further, by using various IT tools and sensors it is possible to provide Smart Air Fertigation system which will also help reduce labor and will be less time consuming. 03 30 2020 4400 4404 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9702.038620 https://www.ijrte.org/portfolio-item/F9702038620/ Department of Mechanical Engineering, Pondicherry Engineering College, Puducherry – 605014, India. N. Rathinam* B. Prabu Department of Mechanical Engineering, Pondicherry Engineering College, Puducherry – 605014, India. Thin shell structures have very high load bearing capacity, hence find wide applications in the field of mechanical engineering, structural engineering, sea shore structures, aerospace industries and nuclear engineering structures. The major failure of thin shell structures is buckling. Oil carrying pipelines, hull structures, oil tankers are few examples in which thin cylindrical shell structures fails by buckling under external pressure loading. In order to avoid the buckling failure, prediction of critical buckling pressure is important in thin shell structures under external pressure. But this critical buckling pressure depends on boundary conditions, imperfections, thickness variation of shells etc. To estimate the effects of these parameters on Critical Buckling Pressure (CBP) require a reliable experimental test rig. Hence in our proposed work, efforts are taken to develop a simple cost-effective reliable test rig to determine the effects of these parameter variations on the critical buckling pressure. For developing the test rig two important components to be designed properly namely, external cover cylinder and online pressure measurement system. The external cover cylinder with lid which contains test cylindrical shell inside should be designed in such a way that it should be leak proof and rigid so as to withstand the internal working pressure with negligible deformations. Hence, a ring and stinger stiffened cylindrical shell is taken as external cylindrical shell. The pressure variation in the test rig should be recorded online so as to predict the critical buckling pressure accurately. Hence, PC interfaced microcontroller-based pressure measurement system is developed in our proposed work. The test cylinder considered for this work is made of mild steel of size diameter 456 mm, length 456 mm and thickness 1 mm. The classical (simply supported) boundary conditions are assumed and simulated on both sides of the test cylinders. The experimental critical buckling pressures are compared with the FE results and both the results have good agreement. 03 30 2020 4362 4366 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9704.038620 https://www.ijrte.org/portfolio-item/F9704038620/ Department of Mathematics, University College for Women, Osmania University, Hyderabad - 500 095, Telangana State, INDIA B. Jyothi* Dr. P. Narasimha Swamy Department of Mathematics, GITAM Deemed to be University, Hyderabad Campus-502 329, Telangana State, INDIA Rakshita Deshmukh Department of Mathematics, University College for Women, Osmania University, Hyderabad - 500 095, Telangana India In this paper we introduce the notion of anti fuzzy bi-ideals of a near algebra and obtain some of the important properties related to the notion. We also study product of anti fuzzy bi-ideals in a near algebra and explore certain characterizations. 03 30 2020 4195 4198 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9705.038620 https://www.ijrte.org/portfolio-item/F9705038620/ Associate Professor, Department of Mechanical Engineering, Godavari Institute of Engineering & Technology (A), Andhra Pradesh, India B Joga Rao* Ch Rupendra UG Students, Department of Mechanical Engineering, Godavari Institute of Engineering & Technology (A), Andhra Pradesh, India D Vivek UG Students, Department of Mechanical Engineering, Godavari Institute of Engineering & Technology (A), Andhra Pradesh, India D Yuva Sai UG Students, Department of Mechanical Engineering, Godavari Institute of Engineering & Technology (A), Andhra Pradesh, India B Sudhakar Raju UG Students, Department of Mechanical Engineering, Godavari Institute of Engineering & Technology (A), Andhra Pradesh, India Injection molding is one of the very significant methodologies in the plastic manufacturing industry. Production of any shape in the injection molding, mold with cavity must require. For this mold making three phases were involved in this project starting from design, analysis, manufacturing respectively. The objective of this project is to introduce detailed steps on design mold and using the simulation software to analyze the material flow, temperature and pressure characteristics of the product. The product designed and analyzed for this project is SAFE HOLDER and CAM. The manufacturing of mold is done by using advanced machinery such as CNC. The design and analysis of this product and mold were made by the designing analysis software CATIA V5, ANSYS 15.0, which is then stimulated by the use of Fluid Flow (Fluent) tool. This project was very useful in knowing the fluid characteristic behavior subjected to flowing inside the mold and also observed the variation of values with respect to given values at each stage. In this project, the analysis performed with taking polypropylene as a fluid from propylene polymer and steel as solid material for the die with inlet values are 230℃ temperature and 15m/s velocity. 03 30 2020 4070 4077 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9707.038620 https://www.ijrte.org/portfolio-item/F9707038620/ PG Student, Department of CS, GIS, GITAM (Deemed to be University), Visakhapatnam, India Y. Prathyusha Reddy* Sk.Althaf Rahaman Department of CS, GIS, GITAM (Deemed to be University),Visakhapatnam, India K Yasudha Department of CS, GIS, GITAM (Deemed to be University),Visakhapatnam, India CSS is one of the foremost routine vulnerabilities that affect many web applications. XSS attacks are essentially malicious injections (client-side) that are added to an internet page or app through user comments, form submissions, and so on. The most danger behind XSS is that it allows attackers to inject content into the online app. The injected content can modify how it's displayed, forcing the browser to execute the attacker’s code. Web vulnerabilities are developed for scanning whole webpage of internet sites. Vulnerability Assessment is that the process of identifying vulnerabilities in your application’s environment. Vulnerability is defined as a weakness or flaw within the system that permits an attacker or insider to access the system during a way they’re not authorized. 03 30 2020 5279 5281 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9709.038620 https://www.ijrte.org/portfolio-item/F9709038620/ Sri Krishna College of Engineering and Technology, Coimbatore,Tamilnadu,India. Mr. KR.Senthil Murugan* Ms. S. Nagajothi Sri Krishna College of Engineering and Technology, Coimbatore,Tamilnadu,India. Mr. C. Somasundaram Sri Krishna College of Engineering and Technology, Coimbatore,Tamilnadu,India. Mr. R. Sabareesan Sri Krishna College of Engineering and Technology, Coimbatore,Tamilnadu,India. Mr. K.Selva kumar Sri Krishna College of Engineering and Technology, Coimbatore,Tamilnadu,India. The variation of product prices in online shopping is high which makes it difficult to decide when to buy. The tremendous growth of e-commerce helps us to create the solution of price prediction. We used web scraping technique to get the price data from various online shopping retailers and process the data for each commodity to predict the price for the future which helps us to make decisions on buying online products. We automated the web scraping of data and price prediction daily to make the price available for the customer without any delay. 03 30 2020 4405 4408 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9710.038620 https://www.ijrte.org/portfolio-item/F9710038620/ Research Scholar, Department of Computer Science, Periyar University, Salem, Tamil Nadu. Meena. S* Dr.V. Gayathri Assistant Professor, Department of Pee Gee College of Arts and Science, Dharmapuri, Tamil Nadu. Cloud computing is a novel prototype to provide services via the internet. Most of the fields like banking, industries, educational institutions, and healthcare are storing their applications, data and accessing it through cloud because of its versatility and affordable price. Even though cloud has a many special feature, data security and privacy are the most important issues in a cloud background. Especially in healthcare sector, according to recent report numerous amount of healthcare data breached by unknown websites and hackers, and much healthcare information breaches are occurring around the world for different purposes and still it is vulnerable on account of storing and accessing data through third party cloud servers. Due to many attacks on personal health records data security and privacy in cloud environment, it is a primary task to concentrate on solving this issue because such health information are really sensitive, and playing vital role in decision-making of patients health which wrong decision may spoil patient’s health, life along with health institution’s reputation. To ensure security and privacy, data encryption and authentication are the key technologies which are a technique to secure data and create proof identities to obtain access of data in the system. Conventional password authentication does not provide sufficient security for information to the new means of attacks. So, this paper introduces a framework for data encryption using standard RSA and Hash function and advanced multi factor authentication technique to cloud data access which authenticates the user based on different factors such as contextual, signcryption and iris bio-metric features. This prototype to cloud computing is implemented using open source technology. The proposed advanced system minimizes intermediate data access due to the complexity of key access and strong authentication. The performance of the system has been evaluated using experimental results such as encryption and decryption time, authentication accuracy, execution time. 03 30 2020 5133 5140 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9724.038620 https://www.ijrte.org/portfolio-item/F9724038620/ M.Tech, Department of Computer Science and Engineering, V R Siddhartha Engineering College, Vijayawada. Aravapalli Naveena* J.V.D. Prasad Pursuing Ph.D, Acharya Nagarjuna University Iceberg detection is found to be more critical in the previous researchers. High quality satellite monitoring of dangerous ice formations is critical to navigation safety and economic activity in the regions. The satellite images play a crucial role in the identification of the icebergs. In this manuscript, a convolutional neural network (CNN) model is proposed for the iceberg detection from the satellite images. It is based on the satellite dataset for target classification and target identification. The iceberg detection is based on the statistical criteria for finding the satellite images. This model is used to identify automatically whether it is remote sensed target is iceberg or not. Sometimes the iceberg is wrongly classified as ship. This model is done to make accurate about the changes in the detection. 03 30 2020 4701 4704 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9736.038620 https://www.ijrte.org/portfolio-item/F9736038620/ Department of Chemistry, Faculty of Technique, Bhayangkara JakartaRaya University, Bekasi, Indonesia. Bungaran Saing* Eni Wulandari Department of Industry, Faculty of Technique, Bhayangkara JakartaRaya University, Bekasi, Indonesia. *Rorim Panday Department of Management, Faculty of Economics, Bhayangkara JakartaRaya University, Bekasi, Indonesia. Hijab Alila (HA) is one of the Muslim fashion brands in Indonesia. This brand has 52 distributors to distribute its products to all customers in Indonesia, one of which is the Karawang distributor. In carrying out its distribution in the Karawang region, this distributor had internal and external constraints. The purpose of this study is to determine the company's external and internal environmental factors and find out appropriate alternative strategies. The method used are SWOT and QSPM. The data used are secondary and primary data. Secondary data were obtained from company data, literature studies, books, internet, and journals. While the primary data obtained from the questionnaire, interviews and observation. Based on the results of data processing, it is found that the value of the internal matrix is 3.15 and the value of the external matrix is 2.71. Then for the results of the IE matrix, it is found that the Karawang distributor occupies position IV which is called the growth and develop the position. In this position, the company carries out market penetration strategies, market development, and product development. Then for the results of QSPM, the company is advised to promote the product through as many social media accounts in the most possible creative way to reach a wider and more market. 03 30 2020 4718 4725 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9738.038620 https://www.ijrte.org/portfolio-item/F9738038620/ Student, Department of Computer Science and Engineering, Rajalakshmi Engineering College (Anna University), Tamil Nadu, India. Rahul U* Ragul M Student, Department of Computer Science and Engineering, Rajalakshmi Engineering College (Anna University), Tamil Nadu, India. Raja Vignesh K Student, Department of Computer Science and Engineering, Rajalakshmi Engineering College (Anna University), Tamil Nadu, India. Tejeswinee K Department of Computer Science and Engineering, Rajalakshmi Engineering College (Anna University), Tamil Nadu, India. Deeplearning has been used to solve complex problems in various domains. As it advances, it also creates applications which become a major threat to our privacy, security and even to our Democracy. Such an application which is being developed recently is the "Deepfake". Deepfake models can create fake images and videos that humans cannot differentiate them from the genuine ones. Therefore, the counter application to automatically detect and analyze the digital visual media is necessary in today world. This paper details retraining the image classification models to apprehend the features from each deepfake video frames. After feeding different sets of deepfake clips of video fringes through a pretrained layer of bottleneck in the neural network is made for every video frame, already stated layer contains condense data for all images and exposes artificial manipulations in Deepfake videos. When checking Deepfake videos, this technique received more than 87 per cent accuracy. This technique has been tested on the Face Forensics dataset and obtained good accuracy in detection. 03 30 2020 5069 5073 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9747.038620 https://www.ijrte.org/portfolio-item/F9747038620/ Computer Eng., Incheon National University, Incheon, Korea Seung Sik Choi* This paper addresses the rate control problem for real-time applications streamed over wireless networks. In wired networks, an equation-based rate control such as TCP-friendly rate control (TFRC) can be used to control the rates of a source under the assumption that the loss is primarily due to congestion. But in wireless networks, packet loss may be due either to congestion or to channel errors. Thus, it is necessary to differentiate between packet loss due to wireless channel errors and that due to congestion. The MAC-aware rate control scheme for real-time streaming applications discriminates packet losses due to channel errors using the event generation in the MAC layer. The simulation results show that the MAC-aware rate control scheme has higher throughput than the rate control scheme without loss classification. 03 30 2020 5047 5052 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9748.038620 https://www.ijrte.org/portfolio-item/F9748038620/ UG Student, Department of Computer Science and Engineering in Periyar Maniammai Institute of Science & Technology (Deemed to be University), Thanjavur, Tamilnadu, India. N. Abirami* S Aishwarya UG Student, Department of Computer Science and Engineering in Periyar Maniammai Institute of Science & Technology (Deemed to be University), Thanjavur, Tamilnadu, India. Z.Mahaboob Asfia UG Student, Department of Computer Science and Engineering in Periyar Maniammai Institute of Science & Technology (Deemed to be University), Thanjavur, Tamilnadu, India. S. Suseela Assistant Professor, Department of Computer Science and Engineering in Periyar Maniammai Institute of Science & Technology (Deemed to be University), Thanjavur, Tamilnadu, India. We can never stop stressing on the purpose and the importance of the compiler in the field of computer science. compiler does translates the high level programs like C,C++,java ,python and so on into low level language (machine language ) which in turn computer processor use. Though the job of the compiler is to translate, depending on the properties of the programming languages the time complexity, space complexity and some of the other characteristics varies accordingly. Thus the purpose of the paper is concentrated on comparing such factors significantly the C compiler and the Lex tool. Our study reveals the best memory consumption among c compiler and lex tool. 03 30 2020 5141 5144 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9752.038620 https://www.ijrte.org/portfolio-item/F9752038620/ Research scholar, Dept. of Computer Science VISTAS, Pallavaram Chennai, Tamilnadu, India Bharanidharan. G* Dr.S. Jayalakshmi Professor, Department Of Computer Applications VISTAS, Pallavaram Chennai, Tamilnadu, India Ultra-flexibility is future asset provisioning method so as to deftly meet the clients' prerequisite in powerful way. Be that as it may, more components are required for execution improvement, for example, CPU and the capacity. It is trying to decide a reasonable edge to effectively scale the assets up or down. In this paper, we propose an efficient resource provisioning using hybrid machine learning techniques (ERP-HML) that emphasis on mutually advance the vitality utilization of servers and system. Here, the proposed asset provisioning is utilized for ultra-versatile cloud benefits in hyper-joined cloud framework. In a Hyper-converged Infrastructure the resources such as CPU, storage and Network will be virtualized and software-defined as pools to meet the current demand. The principal commitment is to present an artificial plant optimization algorithm to improve the administration inertness and lessening over-provisioning of flexible cloud administrations. The subsequent commitment is to delineate a deep Q neural network (DQNN) for anticipating the server's preparing load. At that point, an improved hunting search (IHS) calculation is use to register the quantity of assets that must be provisioned dependent on the anticipated burden. The principle target of proposed ERP-HML strategy is precisely foresee the handling heap of a conveyed server and gauge the proper number of assets that must be provisioned to decrease vitality utilization. At last, the presentation of the proposed ERP-HML strategy is contrast and the current condition of-craftsmanship strategies as far as energy consumption, infrastructure costs and QoS. 03 30 2020 4367 4374 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9753.038620 https://www.ijrte.org/portfolio-item/F9753038620/ CSE, V R Siddhartha Engineering College, Vijayawada, India. Aakula Sharon Pushpa* Dr. Duvvada Rajeswara Rao CSE, V R Siddhartha Engineering College, Vijayawada, India. In the real-life situation, facial expressions and feelings are nothing more than responses to human external and internal events. In human computer association, acknowledgment of end client's demeanors and feelings from the video gushing assumes significant job. In such frameworks it is required to follow the dynamic changes in human face developments rapidly so as to convey the necessary reaction framework. The one constant application is physical exhaustion location dependent on facial discovery and articulations, for example, driver weariness recognition so as to forestall the mishaps on street. Face appearance based physical weariness investigation or location is out of extent of this paper, however this paper uncovers concentrate on various techniques those are introduced as of late for outward appearance as well as feelings acknowledgment utilizing video. This paper introducing the procedures as far as highlight extraction and arrangement utilized in outward appearance as well as feeling acknowledgment techniques with their near investigation. The relative examination is done dependent on precision, usage apparatus, preferences and hindrances. The result of this paper is the ebb and flow explore hole and research difficulties those are as yet open to illuminate for video based facial discovery and acknowledgment frameworks. The review on ongoing strategies is properly introduced all through this paper by considering future research works. 03 30 2020 4519 4523 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9758.038620 https://www.ijrte.org/portfolio-item/F9758038620/ Assistant Professor, Inderprastha Engineering College Shweta chaku Monika Sainger Associate Professor, Inderprastha Engineering College. Transformations are the best and effective techniques of producing changed objects in terms of Displacement, Enlargements and Orientations. In other words the Transformation are the most challenging way of shifting or changing the dimensions and orientations of images in the most effective way.But This modifying and repositikoning of the existing images is calculated by a standard convention of Matrix Calculations.The usual practice of doing so is straight forward. The transformed object can be obtained by coupling (Matrix Multiplication) original object Matrix with the transformation vectors. The main challenge is how to evaluate it. The usual practice is standard Column Major Pattern. The alternative Row Major Pattern is also known approach but what matters is the sequence of operations that make these both approaches worth mentioning.Visualization can be enhanced if either of the approach is adopted. But what makes it more exciting is the calculations that come with both of these approaches. A normal practice is to use the standard Column Major Pattern for processing objects .An Alternative to this Technique is Row Major Pattern which equates to the same result only if sequence of operations are not compromised. This paper describes the transformation (Reflection and Shearing) in both Column and Row Major Pattern and at the same time aims in putting down clear semantics in justifying the sequence of operations. 03 30 2020 5053 5055 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9759.038620 https://www.ijrte.org/portfolio-item/F9759038620/ Department of Information Technology, Manakula Vinayagar Institute of Technology, Puducherry, India. M. Suresh* R.Brainard Samuel Department of Information Technology, Manakula Vinayagar Institute of Technology, Puducherry, India. T. Bhuvaneswar Department of Information Technology, Manakula Vinayagar Institute of Technology, Puducherry, India. R.Hariharan Jaubin Department of Information Technology, Manakula Vinayagar Institute of Technology, Puducherry, India. R. Balaji Department of Information Technology, Manakula Vinayagar Institute of Technology, Puducherry, India. In any organization which consists of working employees, under their respective teams, there exist a state where the manager of the team takes the charge of distributing the tasks among the various employees who work under him. In this case there arises a possibility of unequal distribution of the tasks among the employees in terms of workload and complexity of the tasks where the one with increased workload gets even more new tasks assigned to him while the one with less workload continues with the same number of tasks. In this case we have developed a system which assists equal distribution of the tasks among the peers in the team by analyzing the task related data and concurrently representing the results of the analysis in a comprehensible manner to the person responsible for assigning the tasks to the employees. This system takes into account the various attributes like number of tasks and the level of complexity concerned with those tasks and thereby performs analysis on the data by employing the random sample partition algorithm. The random sample partition algorithm acts in order to minimize the load on the analysis and thereby improve the performance by splitting the whole data into simpler blocks of data and then performing analysis on it. The results of the analysis provides the user an overview as to how he can distribute the new tasks which arrive into the system so as to serve the purpose of bringing out equality in distribution of the tasks among the peers in the team. 03 30 2020 5282 5286 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9761.038620 https://www.ijrte.org/portfolio-item/F9761038620/ Professor, School of Business and Management, CHRIST (Deemed to be University), Bangalore Jain Mathew* C.J. Davis Research scholar, CHRIST (Deemed to be University), Bangalore Banking sector reforms in the last 25 years has made the Indian banking sector vibrant and strong. Banking reforms rationalized banking system by opening new private sector banks, prudential norms for quality of asset, deregulation of interest rates and digital banking. Major players in Indian banking sector are the public sector banks. Study explores fundamental profitability determinants of public and private sector banks in India. The study selected eight banks each from public and private sector banks in India for eighteen years, from year 2000- 2001 to 2017- 2018.The Global banking benchmark on profitability, ROA is considered as the dependent variable. Bank specific, Industry level and Macro level Independent variables were analyzed to find out the fundamental variables significant to the profitability of banks in public and private sector. Study uses fixed effect and Pooled OLS model to explore fundamental variables determining the profitability. 03 30 2020 4375 4378 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9764.038620 https://www.ijrte.org/portfolio-item/F9764038620/ Autombile Engineering Department, Government College of Engineering and Research, Avasari (kh), Pune, India. Sanjay D. Patil* Vijaypatil Y. Dhepe Autombile Engineering Department, Government College of Engineering and Research, Avasari (kh), Pune, India. Dheeraj S. Lengare Autombile Engineering Department, Government College of Engineering and Research, Avasari (kh), Pune, India. Arvind J. Bhosale Autombile Engineering Department, Government College of Engineering and Research, Avasari (kh), Pune, India. Rashtrapal B. Teltumade Autombile Engineering Department, Government College of Engineering and Research, Avasari (kh), Pune, India. Occupants safety is one of the most important criteria in car design. Due to the less space between occupant and side door, the scope of energy absorption is less. Hence in a case of side impact, the strength of side door is plays crucial role. A side intrusion beam is mount inside the side door and is also called side impact beam. During side impact, side intrusion beam gets deformed and it absorb the highest amount of energy compare to others parts of side door. And also for smooth bending during the impact, nearly equal amount of force should absorb during the whole bending process. So design of side intrusion beam is important part of vehicle door design. The various parameters of intrusion beam like, material of intrusion beam, shape of intrusion beam, dimensions, mounting of beam inside the door etc. are affected on the strength of side door. In present work using finite elements analysis the effect of important parameters of hollow circular cross section side intrusion beam on Crash Force Efficiency (CFE) is studied. The ABAQUS software is used to perform various finite element simulation. In the first part of this work most influential parameter is determine by Design of Experiments and ANOVA analysis, in a second part of this work relative effect of this influential parameter on crashworthiness of side intrusion beam is studied. 03 30 2020 4524 4529 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9765.038620 https://www.ijrte.org/portfolio-item/F9765038620/ Department of Computer Science and Engineering, JNT University, Hyderabad, India. Yashasvi Mutteneni* Shirisha Kasireddy Department of Computer Science and Engineering, JNT University, Hyderabad, India. Anurag Achanta Department of Computer Science and Engineering, JNT University, Hyderabad, India Modern civilization has always been endeavoring to achieve a cashless and digital society. The emergence of payment methods like cards, net banking, and digital wallets have enabled the possibility of cashless and cardless online and offline payments. However, these payment methods are at the risk of theft and sometimes may require users to memorize different passwords. Biometric Payments may seem like a viable option but, the fingerprints can be spoofed and dirt particles may damage the fragile sensors. Face recognition payments are more frictionless than the present card, mobile and biometric payment systems as they do not require a device to carry out the transaction. It is also reliable, secure and efficient. Hence, saving time for both the customer and retailer. The previous system used Eigenfaces and Euclidean Distance for face recognition payment. Our proposed system uses Haar Cascades for face detection and Local Binary Patterns Histogram(LBPH) for face recognition. Our proposed approach is more efficient with respect to parameters such as noise reduction, threshold, training time, confidence and accuracy as it achieves a higher noise reduction and accuracy with a lower threshold, training time and confidence. 03 30 2020 5586 5591 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9771.038620 https://www.ijrte.org/portfolio-item/F9771038620/ Student, Dept of CSE, JNTUACEP, Pulivendula – 516390, YSR (Dist), A.P V. Sushma Swaraj* L. Bhavya Asst. Professor (Adhoc), Dept of CSE, JNTUACEP, Pulivendula – 516390, YSR (Dist), A.P, G. Pooja Student, Dept of CSE, JNTUACEP, Pulivendula – 516390, YSR (Dist), A.P R. Deva Revathi Student, Dept of CSE, JNTUACEP, Pulivendula – 516390, YSR (Dist), A.P, Safety of Women has become a major issue in India. Especially at night women think a lot before coming out of their homes. We daily come up with news of how women are subjected to a lot of violence and harassment or get molested in public areas. This paper focuses on the issue of helping Women that they don’t ever never feel alone in the middle of any situations. The project idea is to predict whether the given place at any time is safe for a women to go or not. There are many pre-existing applications that are useful at the time of crisis situations. At some situations when a women is in trouble, she is not able to use those applications. And there are also so many rehabilation centres which are used after the situation has happened. But our proposed model will help women to take precautions so that they never ever get that situation. For this idea we used Machine Learning. Machine learning is used to train the data and make quality predictions by recognizing the patterns in data. We applied different algorithms like Naïve Bayes, K-Nearest Neighbours, Logistic Regression models. Logistic regression is the best fit among other machine learning algorithms and it is more effective than others. In this paper, we used Logistic regression algorithm of Sklearn machine learning library to classify the dataset. Information about some set of areas in Tamilnadu are collected and was used in our project. When a women alone want to go out for any personal work or any financial work without knowing any safety details about the place she wants to go our application helps more better. 03 30 2020 5056 5060 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9772.038620 https://www.ijrte.org/portfolio-item/F9772038620/ Research Scholar, VTU, Belagaum, India. Nagesh. R* Dr. M N Sree Rangaraju Professor, Department of Electronics and Communication Engineering, Bangalore Institute of Technology (BIT), Bengaluru, India. Prashanth. S Department of Electronics and Communication Engineering, Government SKSJ Technological Institute, Bangalore, India. In Ad-hoc network minimizing the energy utilization is one of the core issues in transmission of data with entail quality of service. Cooperative communication networks have been recently being studied as an alternative to MIMO wireless networks where cooperation between source destination and relay are considered. In this paper, Cooperative Residual Battery (CORB) Resource Optimization routing protocol is proposed in which the route formation in cooperative network from source to destination is established by selecting the minimum battery consuming node as relay. Packet reception ratio is considered for efficiently switching between the direct communication and cooperative communication depending on the type of scenario’s that occur in real time. The proposed work is based on the modification done on AODV protocol. The relay selection in cooperative communication is established based on least hop count and residual battery life of a node. The protocol is mainly based on selecting a helper node from a list of intermediate nodes that are consuming less energy to forward the data on to the destination. Considerable modification in Route request and Route reply packet is done in order to carry the Residual battery information of nodes that are handling the Control packets (RREQ & RREP), along with the control packets, routing table is modified for managing the routing information. Simulation is carried out to assess the essence of the protocol proposed. 03 30 2020 5560 5567 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9773.038620 https://www.ijrte.org/portfolio-item/F9773038620/ Student*, Bachelor of Technology in Computer Science and Engineering at Velagapudi Ramakrishna Siddhartha Engineering College. Uttam Kumar Gowda Matta Sai Bhargavi Nanduri Student, Bachelor of Technology in Computer Science and Engineering at Velagapudi Ramakrishna Siddhartha Engineering College. Abdul Aziz Sohail Student, Bachelor of Technology in Computer Science and Engineering at Velagapudi Ramakrishna Siddhartha Engineering College. Balaji Nageswara Rao Kancharla Student, Bachelor of Technology in Computer Science and Engineering at Velagapudi Ramakrishna Siddhartha Engineering College. Ms. Vani Pujitha Madala Assistant Professor, CSE department, Velagapudi Ramakrishna Siddhartha Engineering College. A mobile phone can be used to send and receive text messages, with wide coverage area, high reliability, high popularity by using Short message service technology. Using Global system for mobile communication, messages can be sent and received between two devices. The remote system is used to send specific SMS to predetermined number at any moment. To get specific information from a mobile it should be accessed. In the mini project we completed the modules which enables and disables the Bluetooth, Wi-Fi, sound, Battery, location display through a simple SMS from another mobile. In major project we aim to complete modules that involves camera, Wi-Fi hotspot and Audio recording which are also be enabled and disabled by SMS without using internet and works remotely. By this application one can easily access their mobile from any place and operate remotely. By sending a SMS to their own mobile it automatically gets the details of that module by the commands and it can be returned to the same number as a received message. 03 30 2020 5074 5079 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9774.038620 https://www.ijrte.org/portfolio-item/F9774038620/ Department of Computer Science, Shaheed Rajguru College of Applied Sciences for Women, University of Delhi, Delhi, India. Tina Sachdeva* Astha Pattanaik Department of Computer Science, Shaheed Rajguru College of Applied Sciences for Women, University of Delhi, Delhi, India. Test data generation is the task of constructing test cases for predicting the acceptability of novel or updated software. Test data could be the original test suite taken from previous run or imitation data generated afresh specifically for this purpose. The simplest way of generating test data is done randomly but such test cases may not be competent enough in detecting all defects and bugs. In contrast, test cases can also be generated automatically and this has a number of advantages over the conventional manual method. Genetic Algorithms, one of the automation techniques, are iterative algorithms and apply basic operations repeatedly in greed for optimal solutions or in this case, test data. By finding out the most error-prone path using such test cases one can reduce the software development cost and improve the testing efficiency. During the evolution process such algorithms pass on the better traits to the next generations and when applied to generations of software test data they produce test cases that are closer to optimal solutions. Most of the automated test data generators developed so far work well only for continuous functions. In this study, we have used Genetic Algorithms to develop a tool and named it TG-GA (Test Data Generation using Genetic Algorithms) that searches for test data in a discontinuous space. The goal of the work is to analyze the effectiveness of Genetic Algorithms in automated test data generation and to compare its performance over random sampling particularly for discontinuous spaces. 03 30 2020 4466 4473 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9775.038620 https://www.ijrte.org/portfolio-item/F9775038620/ Reaserch Scholar, Dept.of Mechanical Engg., JNTUA Anantapur, AP, India, B. Anjaneyulu* Dr.G.Nagamalleswara rao Professor & Principal, Eswar College of Engineering, Narasaraopeta, Guntur, AP, Indai Dr.K.Prahlada rao Professor, Dept. of ME, JNTUA, Anantapur, AP, India It is very difficult to make a hole in brittle materials like glass and ceramic materials by using conventional machining methods like turning and milling therefore non conventional machining such as micro abrasive air jet machine is used to overcome the above problem. In this research work to prepare alumina reinforced zerconia ceramic composite materials using powder metallurgy sintering method experiments have been conducted on micro abrasive air jet erosion tester. In this work to varied abrasive air jet machining parameters i.e. Pressure, Abrasive flow rate, Standoff distance and different Weight percentage of zirconium added into alumina i.e. 5wt%, 10wt% and 15wt% and responses are Material Removing Rate and Surface Roughness. 30μm size of Silicon carbide (sic) sand particles are impinged Ceramic composite plates with given input process parameters. L27 Orthogonal array of Taguchi and Regression analysis is used to determine the Signal to Noise ratios of all experiments and process parameters impact, Percentage contribution of each process parameters, square parameters and interaction parameters on MRR and Surface Roughness and check weather parameters, square and interaction parameters are significant are not, to eliminate insignificant parameters by using backward elimination method. To improve R2 value by eliminated insignificant parameters. 03 30 2020 4582 4589 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9778.038620 https://www.ijrte.org/portfolio-item/F9778038620/ Assistant Professor, Department of Electronics and Instrumentation Engineering, Kongu Engineering College, Perundurai, Erode, TamilNadu, India. K. Yuvaraj* T. Nivetha UG Graduate, Department of Electronics and Instrumentation Engineering, Kongu Engineering College, Perundurai, Erode, TamilNadu, India. J. Sushma UG Graduate, Department of.Electronics and Instrumentation Engineering, Kongu Engineering College, Perundurai, Erode, TamilNadu, India. T. S. Sutharsan UG Graduate, Department of.Electronics and Instrumentation Engineering, Kongu Engineering College, Perundurai, Erode, TamilNadu, India. M. Rajadurai Ramajeyam UG Graduate, Department of Electronics and Instrumentation Engineering, Kongu Engineering College, Perundurai, Erode, TamilNadu, India. Inspection on the dyed material in the textile industry is facing a challenging task owing to the accurate measurement of the dye concentration added. Currently manual inspection is done. It consumes more time and less accurate. The proposed work provides a solution to above problem. The image of reference material (cloth) is captured and the features are extracted using image processing techniques. The color concentration of both the reference material and the test fabric is compared. If the dye concentration of the test fabric matches with the reference material, then it is a perfect dyed cloth whereas for mismatched samples, the concentration is to be adjusted is displayed. This smart dyeing inspection system reduces the manual operation and saves time and results in high accuracy. 03 30 2020 5061 5063 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9779.038620 https://www.ijrte.org/portfolio-item/F9779038620/ Assistant professor of Information technology in SRM IST,Chennai,Tamil Nadu,India. Mr. Sivamohan S* L. Kali Prasad department of Information Technology,SRM IST,Chennai,Tamil Nadu,India. Vigneshwararaj. S department of Information Technology,SRM IST,Chennai,Tamil Nadu,India. A.I. Vishal department of Information Technology,SRM IST,Chennai,Tamil Nadu,India SQL injection is one of the cyber attack used by the attackers to penetrate into the web application database. This attack is considered to be the top ten threats and is also declared by “Open Web Application Security Project”. The importance of the injection detection is that even a young person can initiate this attack from any place and also no prior knowledge is required as there are existing tools available extensively. This attack works in the way by inserting a malicious code or logic in the authentication page and this compromises the system to return true in the condition while checking the data with the data present in the database. Actually, this malicious code breaks the format of string to a logic based function as in default all the data that are inputted by the user is written in a string format. We are using Random Forest algorithm to detect the injection attack. 03 30 2020 5145 5147 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9781.038620 https://www.ijrte.org/portfolio-item/F9781038620/ PhD Scholar Uttarakhand Technical University (UTU), Dehradun (Uttarakhand)-INDIA Arun Kumar* Dr. R.K. Singh Professor, Dept of ECE, BTKIT Dwarahat (Almora) Uttarakhand- INDIA Dr. Sandip Vijay Professor & Director, SCE, Dehradun affiliated to Uttarakhand Technical University (UTU), Dehradun (Uttarakhand)-INDIA The evolution of mobile computing devices to share information has forced mobile users to opt for a Wide Area Network (WAN). Infrastructure-less network has captured all the surroundings. Therefore, in this work a Cluster based Energy Efficient Routing Protocol (CERP) for has been proposed for multi-hop infrastructure-less wireless networks and has been compared with widespread existing protocols. This routing protocol has the capability to identify the backbones from all the existing nodes within the network and circulate them within acceptable time limit. CERP backbones maintain its unique arrangement. They remain stimulated for multi-hop packet hoping while remaining in power budgeting mode. The alternative sensor nodes occasionally check if the present nodes are awaken and can set up itself as the backbone of the network. In order to identify the nodes that are not required and to regulate backbone within specifically defined geographical area, researchers opt to organize a scrutinizer from the backbone. This has to be done beneath them and also in between of the geographic area of the entire network. It has been predicted that the amount of energy saved using proposed protocol will amplify exclusively up to some extent once the density increases. 03 30 2020 5639 5642 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9783.038620 https://www.ijrte.org/portfolio-item/F9783038620/ College of Transport & Communications, Shanghai Maritime University, Shanghai, PRC Mahdi Birafane* Sarvar Khalikov College of Transport & Communications, Shanghai Maritime University, Shanghai, PRC Sarvar Khalikov School of Logistics, Inha University in Tashkent, Tashkent, Uzbekistan Isakdjanova Tourism Department, Yeoju Technical institute in Tashkent, Tashkent, Uzbekistan. Margulan Dairshenov Kazakhstan Maritime Academy, Kazakh-British Technical University, Almaty, Kazakhstan. Shipping companies, operators and mariners underestimate the importance of trim to the factors such as company’s budget expenditure, vessel’s fuel consumption and environmental pollution. As the result, negative effect on those factors due to inefficiently trimmed ship arises. Therefore, the objective of this thesis is to verify the role of vessel’s trim on fuel consumption and determine the optimum trim value for different types of ships at different conditions. The trim of the ship is important both to carry the maximum amount of cargo safely and maximise the fuel efficiency of the ship. Two main factors affect the trim - one is the shape of the underwater form of hull/water plane area at the particular draft and the other is the distribution of weights such as ballast water, cargo and fuel in the vessel. The influence of trim on fuel consumption is hydro-dynamically related to the ship’s resistance. Thus, as a vessel adjusts her angle of trim, the total resistance also changes. As the result, for the ships with the same deadweight and speed ratio, the total fuel expenditure can vary considerably. Therefore, depending on resistance a ship experiences, the optimum trim condition can be obtained. This manuscript clearly indicates that each vessel is unique and has an individual approach that should be applied to achieve the most efficient condition of sailing. Thus, for a fishing boat, it is essential to maintain zero trim or little trim to fore, while for unloaded container ship the optimum trim is achieved at 3 meters by the stern. For VLCC and passenger ship, however, the optimum position is reached at the same value of trim, namely 1-meter aft trim. Applying the results of conducted experiments, the optimum trim condition can be obtained and unnecessary losses of shipping company will significantly be reduced. Moreover, efficiently consumed fuel will allow decreasing the amount of gas emissions produced, reducing the negative effect on the environment. Furthermore, to sharpen the understanding of the role of trim of fuel consumption, it is recommended to study the influence of various angles of trim on fuel efficiency while the different types of ships maintain constant draft. 03 30 2020 4636 4657 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9787.038620 https://www.ijrte.org/portfolio-item/F9787038620/ Student, Department of Electrical Engineering, A.C. Patil College of Engineering, Kharghar, Mumbai University, India. Poonam Shinde* Dr. S. R. Deore Professor, Department of Electrical Engineering, A.C. Patil College of Engineering, Kharghar, Mumbai University, India. Solar energy is that the foremost abundant, inexhaustible and clean of all renewable energy resources. Interest in electrical solar PV power generation has accumulated in recent years due to its benefits. This wide distribution of physical phenomenon panel production wasn't followed by watching, fault detection and designation functions to verify higher gain. In this paper, real time fault analysis and fault detection is done by using Back propagation. By simulating various fault conditions, the performances of a faulty electrical solar photovoltaic module have been compared with respect to its faultless model by quantifying the precise differential residue which can be associated with it. The deformations and faults induced on the I-V curves and P-V curves have been studied to generate data for neural network analysis for different types of faults. Five different fault cases like module to module fault, module - ground faults, short circuit fault, and different shading patterns of modules and solar cells are considered. The MATLAB simulation model’s results show the respective results for various fault conditions along with variation of different solar irradiation which commonly occur in the photovoltaic systems. The projected technique is often generalized and extended to additional sorts of faults. This faults condition was analyzed by using Backpropagation Based Neural Network (BP-ANN). Back propagation technique ensures fine tuning the weights of neural network to get lower error rates making the model more reliable, therefore the BP-ANN technique contributes in improving the overall accuracy for fault detection in the system using Artificial Neural Network. 03 30 2020 5568 5574 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9790.038620 https://www.ijrte.org/portfolio-item/F9790038620/ Ph.D scholar, Dept. of Mechanical Engineering, F/o Engineering & Technology, Jamia Millia Islamia, New Delhi Abdul Qaiyum* Aas Mohammad Professor, Dept. of Mechanical Engineering, F/o Engineering & Technology, Jamia Millia Islamia, New Delhi This paper presents the optimal synthesis of a six-bar Watt-II mechanism with rotational joints in which a tracing point on the coupler traces a desired path. The objective of the work is to synthesize a six-bar mechanism whose coupler point generates the path as close to the given path as possible. The tracing path is the combination of two circular arcs with eighteen precision points with prescribed timing. A mathematical model is formed by two vector loop closure equations, and design constrained are imposed to improve the result quality. ‘Particle Swarm Optimization’ (PSO), an evolutionary technique, is used to obtain the optimal solution of the given six bar mechanism at first time, which has been used by various authors in case of four bar mechanism. Final design parameters and convergence rate of the optimal solutions are presented. 03 30 2020 5287 5292 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9802.038620 https://www.ijrte.org/portfolio-item/F9802038620/