-22b9b34417bc6092a744b5c 20220223072319788 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/ 07 30 2020 9 2 Department of Computer Science and Engineering, Lendi Institute of Engineering and Technology, Vizianagaram (A.P), India. Dr. K. Narasimha Raju Mr. Dekka Satish Department of Computer Science and Engineering, Lendi Institute of Engineering and Technology, Vizianagaram (A.P), India. Dr. G.Sita Ratnam Department of Computer Science and Engineering, Lendi Institute of Engineering and Technology, Vizianagaram (A.P), India. Mr.G. Ravindranath Department of Computer Science and Engineering, Lendi Institute of Engineering and Technology, Vizianagaram (A.P), India. Mrs.T.M.L Prasanna Department of Computer Science and Engineering, Lendi Institute of Engineering and Technology, Vizianagaram (A.P), India. Due to tremendous increase of vehicles in number leads to excessive congestion of vehicles at intersection of roads. It causing inconvenience to emergency vehicles like Ambulance and Fire brigade etc, ultimately which is the cost of human life To avoid this, Emergency Vehicles will have to give high priority to overcome from the congestion. Vehicular Ad-Hoc Networks (VANETs) is a network which is used to create a temporary communication among the vehicles. In this paper, priority based vehicle movement system is proposed to give high priority to emergency vehicles and establishing communication among the vehicles through VANET. Due to this high priority, there is no necessity to wait for the emergency vehicles at the traffic signals to get the green signal while communicating with traffic controller. In this paper, SUMO simulator is used for experimental analysis. The result indicates that the proposed methodology reduces the waiting time when compared to the existing system. 07 30 2020 483 486 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3667.079220 https://www.ijrte.org/portfolio-item/B3667079220/ School of Mechanical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India Solomon B Selvaraj* Narasimhan K School of Mechanical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India. Daniel Abishai L School of Mechanical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India. Krishna Kaanth M School of Mechanical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India. Ashish Daniel Director, GEMS Polytechnic College, Aurangabad, Bihar, India “Slicing tool” or “Slicing Software” computes the intersection curves of models and slicing planes. They improve the quality of the model being printed when given in the form of STL file. Upon analyzing a specimen that has been printed using two different slicing tools, there was a drastic variation on account of the mechanical properties of the specimen. The ultimate tensile strength and the surface roughness of the material vary from one tool to another. This paper reports an investigation and analysis of the variation in the ultimate tensile strength and the surface roughness of the specimen, given that the 3D printer and the model being printed is the same, with a variation of usage of slicing software. This analysis includes ReplicatorG, Flashprint as the two different slicing tools that are used for slicing of the model. The variation in the ultimate tensile strength and the surface roughness are measured and represented statistically through graphs. An appropriate decisive conclusion was drawn on the basis of the observations and analysis of the experiment on relevance to the behavior and mechanical properties of the specimen. 07 30 2020 487 494 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3668.079220 https://www.ijrte.org/portfolio-item/B3668079220/ Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Kattankulathur, Tamilnadu Padmalatha N Deepa T Department of Electronics and Communication Engineering, SRM Institute of Science and Technology,Kattankulathur, Tamilnadu Susila M Department of Telecommunication Engineering at SRM Institute of Science and Technology, Kattakulathur, TamilNadu, The proposed design of a Microstrip patch antenna for biomedical applications is represented in this paper which is operating at 2.4GHz frequency range in ISM Band. The significant feature of the proposed antenna is to make it perfect for on-body biomedical applications. The Polyimide substrate which has dielectric constant (εr) of 3.5, thickness of 0.0508 mm and loss tangent 0.0027 is used. The proposed antenna dimension is 21 mm x 17 mm x 0.0508 mm length, width and height respectively. The radiating patch has the length and width is 20 mm and 16.5 mm respectively. The antenna is designed using 3D EM simulation tool and S11 response is of less than -10dB. The designed and developed antenna has been fabricated in the laboratory and measured using RF equipment for parameters like reflection coefficient, VSWR and input impedance. The experimental results agree well with simulation results which proves that it is a good candidate for Biomedical applications. 07 30 2020 519 522 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3674.079220 https://www.ijrte.org/portfolio-item/B3674079220/ Department of Tourism and Hospitality Management, University of Dhaka, Bangladesh, Santus Kumar Deb* Today technology plays an important part in eTourism services around the country in the world. The theme of the manuscript is to examine the critical success factors of mobile applications to adopt eTourism. The study used a triangulation process in which literature review, exploratory investigation from expert interview, and focus group discussion, along with descriptive study for the identification critical success factor. Quantitative approaches based on survey data like descriptive statistics and regression analysis is to discover relative important critical success factors. Among 250 respondents 55 percent of the respondents are male and rest of them are female respectively. Majority of the tourists’ preferred to usage mobile to perform tourism related activities. The study found that eVisa Processing, eTour guide, eReservation, eItenary, eTicketing, and Virtual Tourism are statistically significant and also reliable. The study implied that timely and user-friendly mobile applications are expected for reliability and security of transaction/payment, and other tourism services for tourists. This study will make a good lesson for Mobile manufacturers and tourism stakeholders to develop business product. Conclusively portals make the traveler self-reliant and give all details with a single click. 07 30 2020 614 620 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3676.079220 https://www.ijrte.org/portfolio-item/B3676079220/ Space Environment, Egyptian Space Agency, Cairo, Egypt. Amira Hamdy Dalia Elfiky* Space Science Department, National Authority for Remote Sensing and Space Science, Cairo, Egypt. Picosecond Pulsed Laser System (PPLS) was used to simulate the single event effects (SEE) on satellite electronic components. Single event transients effect induced in an operational amplifier (LM324) to determine how transient amplitude and charge collection varied with pulsed laser energies. The wavelength and the focused spot size are the primary factors generating the resultant charge density profile. The degradation performance of LM324 induced by pulsed laser irradiation with two wavelength (1064nm, 532nm) is determined as a function of laser cross section. The transient voltage changed due to pulsed laser hitting specific transistors. This research shows the sensitivity mapping of LM324 under the effect of fundamental and second harmonic wavelengths. Determine the threshold energy of the SET in both wavelength, and compare the laser cross section of 1064 nm beam and 532 nm beam. 07 30 2020 523 527 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3689.079220 https://www.ijrte.org/portfolio-item/B3689079220/ Department of Civil Engineering, VIT Vellore, India. Ajay B Shelar Dr Amit Mahindrakar Professor, Department of Civil Engineering, VIT Vellore, India. The studies measure Abrasion Resistance of Concrete with Crushed Sand. Pune is developing in construction activity so Pune province was chosen as a case study. Due to increase in Automobile and IT Industry increases Infrastructure faculty in Pune. Increases concrete demands for construction of Infrastructure faculty such as Fly over, Metro rails & Ring road around Pune city. To Gratifications in the demand of concrete and to supply this concrete demand increase in demand of natural sand Construction activity of Infrastructure & heavy traffic in Pune. Natural sand are replace with Crushed Fine and Coarse Aggregate Concrete (CCA ) 07 30 2020 586 589 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3698.079220 https://www.ijrte.org/portfolio-item/B3698079220/ Space Science, National Authority of remote sensing and space science, Cairo, Egypt, Haitham Akah Dalia Elfiky* Space Science, National Authority of remote sensing and space science, Cairo, Egypt, Developing spacecraft telemetry subsystem utilizing commercial of the shelf (COTs) components to meet the technical design requirements with low-cost is big challenge for designers, due to the considerations of harmed ionizing space radiation effect, specially the total ionizing dose effect (TID). This effect induces performance degradation and failure in satellite electronic components (ECs). Because of the complexity of microcontrollers and their various integrated functionality, they present a hardness assurance encounter. A careful technique was followed in analyzing the space radiation effects. Then rigorous tests should be conducted to test the performance of the candidate microcontrollers under these effects. This paper presents the predicted dose depth curve and the total ionizing does test results for a commercial ARM microcontroller for Low Earth Orbit (LEO) satellites. Such test results help estimate the effect of space environment on the microcontroller and decide if such microcontroller is an accepted candidate for LEO missions or not. 07 30 2020 528 532 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3710.079220 https://www.ijrte.org/portfolio-item/B3710079220/ Assistant Professor, Department of ECE, SRM Easwari Engineering College, Ramapuram, Chennai Mr.B. Arivuselvam M. Madhushalini UG Student, Department of ECE, SRM Easwari Engineering College, Ramapuram, Chennai T. Nivetha UG Student, Department of ECE, SRM Easwari Engineering College, Ramapuram, Chennai M.G. Rufus UG Student, Department of ECE, SRM Easwari Engineering College, Ramapuram, Chennai The haziness in underwater images occurs due to two major phenomena namely absorption and scattering of light. Hence, we have proposed an image fusion-based approach to improve the visibility of images obtained underwater. The proposed method uses a single hazy image. Initially the colour corrected and contrast improved versions of the image are obtained. Further, Laplace transform is applied which is followed by replication and saliency mapping on each of the derived images. Multi-scale image fusion technique has been used to combine the inputs. This enables each of the fused images to contribute the most essential feature to obtain the resultant image. Thus, the proposed method significantly restores the quality of the input distorted images 07 30 2020 621 626 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3715.079220 https://www.ijrte.org/portfolio-item/B3715079220/ Student, Symbiosis Institute of Digital & Telecom Management, Symbiosis International (Deemed University), Pune, India Bipasha Rajkhowa Aniket Das Student, Symbiosis Institute of Digital & Telecom Management, Symbiosis International (Deemed University), Pune, India With the increasing competition in the market today, the customers have a variety of options to choose from. The biggest challenge faced today by any business is to understand and deliver the exact requirements of the customers to retain the existing customer base and acquire new customers. The key to this is meeting and surpassing customer expectations leading to the goal of customer satisfaction through enhanced customer experiences. Upcoming technologies like Artificial Intelligence provide widespread opportunities to understand dynamic customer behavior and trends. However, not much exploration is done in academic research as to what factors primarily impact customer experience and the emerging significance of AI in this domain. Hence, the objective of this study is to understand the impact of artificial intelligence on customer experience. The paper adopts a quantitative approach wherein a survey was conducted across 207 participants to understand the impact of AI-enabled chatbots to deliver better personalization, quality of service, and hassle-free service to achieve better customer experience. The study provides implications to academicians as it contributes to the literature on the impact of AI on customer experience, helps practitioners in exploring and analyzing the various useful aspects of such emerging technologies in reshaping market trends, the companies and the society at large by providing a better experience to the customers, thus enabling a healthier customer relationship. 07 30 2020 1237 1242 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3727.079220 https://www.ijrte.org/portfolio-item/B3727079220/ Bachelor of Information Technology, Universitas Sumatera Utara, Indonesia. Umaya Ramadhani Putri Nst Sutarman Magister of Applied Probability and Statistics, Northern Illionis University, Amerika Pahala Sirait Magister of Computer Science, Universitas Indonesia, Indonesia. The collection of data that everyone has on earth has a fully agreed upon value of knowledge. Analysis of a collection of data that can accommodate a long processing time, for this we need an algorithm that can provide a comparison of the acceleration of the analysis process. One process of data analysis is clustering, which is a process of grouping large amounts of data so that it is easy to understand. One of the algorithms in the clustering process is CURE (Clustering Using Representative) where CURE random sample-based data bases partition the data using representative points called representative points. Sample-based process will provide better processing time acceleration because it will only be done on the data collection, not the whole data. This representative point determines the processing time of the testing carried out in the input. Values, representative values, and shrinkage values will provide a faster settlement process for the values inputted according to the correct conditions. 07 30 2020 627 630 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3742.079220 https://www.ijrte.org/portfolio-item/B3742079220/ UG Assistant Professor, Department of Electronics and Instrumentation Engineering, Sri Ramakrishna Engineering College, Coimbatore, India Anitha. T Madhu Mitha R UG Student, Department of Electronics and Instrumentation Engineering,Sri Ramakrishna Engineering College, Coimbatore, India Priyanka. T UG Student, Department of Electronics and Instrumentation Engineering,Sri Ramakrishna Engineering College, Coimbatore, India Sanchya. V UG Student, Department of Electronics and Instrumentation Engineering,Sri Ramakrishna Engineering College, Coimbatore, India Saranya. S UG Student, Department of Electronics and Instrumentation Engineering, Sri Ramakrishna Engineering College, Coimbatore, India There is a need to make a smart city nowadays, to increase population in cities. Today public transport is of vitaly importance. Conveyance we plan to wait for a bus to hit our place on a long time. In proposed method, people's waiting time is reduced. The RFID tag reads the person who enters and exits the bus. In the MQTT dash application, the number of persons entering and leaving details is shown. The smartcard's tag debits the number. It is a system that is in real time. Using the LCD display, all bus information such as bus number, routes, stops and timings are shown in bus stops. 07 30 2020 1007 1010 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3745.079220 https://www.ijrte.org/portfolio-item/B3745079220/ Department of Management, Amrita Viswa Vidyapeetham, Amritapuri Campus, Kollam, Kerala Gouri Gopakumar Many researches have been done on annual reports to detect whether it is fraud or not by the analytical and empirical part of the report. Annual reports provide information on a company’s activities throughout a year. By analyzing the annual report, we can identify the condition of the company whether it is in crisis or operating perfectly. This research deals with the data that can be obtained from the reports’ text to determine the probability of being a fraudulent annual report. The verbal content of the report which determines the linguistic features are being analyzed using natural language processing tools to distinguish fraud financial reports from non-fraud financial reports. A set of 60 annual reports were taken for the study. Out of which 30 annual reports are labelled as fraud and the other 30 is labelled as non-fraud. The set of fraudulent companies were selected on the basis of a reporting case of fraudulency of another company or the same company in any other year of non-reporting of cases. The features are selected using a wrapper method search algorithm. A neural network model of MLP (Multi-Layer Perceptron) algorithm is used to classify the data with an accuracy of 85.1%. Classifiers like SVM (Support Vector Machines), Logistic Regression, Naïve Bayes and Random Forest algorithms were also used to identify the best classifier out of all the algorithms. Performance of all the techniques used in this paper are being analyzed and presented in terms of accuracy, precision, recall, F1 score, TN rate and FN rate. 07 30 2020 533 540 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3746.079220 https://www.ijrte.org/portfolio-item/B3746079220/ Universiti Teknologi Malaysia, Johor, Malaysia Law Choon Chuan Herman Wahid* Universiti Teknologi Malaysia, Johor, Malaysia Dirman Hanafi Universiti Tun Hussien Onn Malaysia, Johor, Malaysia Seriaznita Haji Mat Said Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia Thermoelectric energy harvester is known as a type of energy harvesting technologies which extracts waste heat from a target device or object to generate electrical power. The low power generation from thermoelectric energy harvester, though, is always a critical consideration in designing a self-sustaining system. The energy harvesting system is usually aided by a power management solution to further enhance the power generation for better performance. Therefore, maximizing the power generated from the thermoelectric sensor itself is essential in order to select the most suitable power management approach. This paper presumed the methodology to maximize power generation of thermoelectric and further discussion is reviewed in the report. 07 30 2020 541 547 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3769.079220 https://www.ijrte.org/portfolio-item/B3769079220/ Department of Information Science and Engineering, NMAM Institute of Technology, Nitte, Karkala, Udupi India Balaji N Dr. Karthik Pai B H Department of Information Science and Engineering, NMAM Institute of Technology, Nitte, Karkala, Udupi India Shivam Khandelwal Department of Information Science and Engineering, NMAM Institute of Technology, Nitte, Karkala, Udupi India Ramya R Nayak Department of Information Science and Engineering, NMAM Institute of Technology, Nitte, Karkala, Udupi India Vadiraj M Kale Department of Information Science and Engineering, NMAM Institute of Technology, Nitte, Karkala, Udupi, India Health and fitness are two such important things in everyone’s life today. Everyone wants to see themselves fit and healthy so that can lead a happy disease-free life without any worry. But sometimes this cannot be achieved by few. Unhealthy and unfit can lead to many types of disease, one such disease is described in this work. Gestational diabetes refers to type of disease that is caused to pregnant women. Due to uneven diet and no proper exercise this disease can affects the pregnancy of the women. It can be controlled by doing regular workouts, having a proper diet, keeping the track of steps walked, nutrition intake, etc. In order to develop motivation among the people motivational videos are added in the application so that they can view it and give them with a clear dedication of maintaining a good health and bringing fitness to life. The user-interface of the application discussed in this project is light and can be easily understandable, easy to use for the users. The data-set was created by consulting to doctor who helped to understand the nutrition and fitness related conditions for each trimester and how a healthy body can be maintained. 07 30 2020 631 637 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3780.079220 https://www.ijrte.org/portfolio-item/B3780079220/ Department of Information Science and Engineering, NMAM Institute of Technology, Nitte, Karkala, India Dr. Karthik Pai B H* Balaji N Department of Information Science and Engineering, NMAM Institute of Technology, Nitte, Karkala, India. Ontology provide a structured way of describing knowledge. Ontology's are usually repositories of concepts and relations between them, so using them in information retrieval seems to be a reasonable goal. The main objective in this report is to provide efficient means to move from keyword-based to concept-based information retrieval utilizing ontology's for conceptual definitions [1]. In this paper, we present the skeleton of such an IR system which works on a collection of domain specific documents and exploits the use of a domain specific ontology to improve the overall number of relevant documents retrieved. In this system, a user enters a query from which the meaningful concepts are extracted; using these concepts and domain ontology, query expansion is performed. We propose a system that matches the query terms in the ontology/schema graph and exploits the surrounding knowledge to derive an enhanced query. The enhanced query is given to the underlying basic keyword search system LUCENE [2]. In this approach we try to make use of more ontological Knowledge than IS-A and HAS-A relationships and synonyms for information retrieval. 07 30 2020 638 643 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3781.079220 https://www.ijrte.org/portfolio-item/B3781079220/ pursuing PhD in Sapthagiri College of Engineering, Bangalore, under Visvesvaraya Technological University, India. Mamatha MC Dr Sateesh Kumar H C is currently is a professor and Head, Department of ECE, Sapthagiri College of Engineering, Bangalore, India. The Adaptive beam forming with Multikernel based Bayesian learning method beam forming on Uniform Linear Array (ULA) antennas for better localization. Undetermined source localization problem is solved using the Multikernel Sparse Bayesian Learning framework. Beam forming problem is considered the undetermined source localization problem and solved using the adaptive method. The Degree of Freedom (DOF) is increased using the adaptive nature of the manifold matrix while maintaining the same number of antennas. The response model that adaptively adjusts the manifold matrix in the Sparse Bayesian problem uses the Multikernel framework. MATLAB based implementation thus carried out on the ULA clearly exhibits better results over the single kernel model. The Mean Square Error (MSE) and Root Mean Square Error (RMSE) with Signal to Noise Ratio (SNR) variation is obtained to evaluate the performance of the proposed implementation. The performance obtained is found to be satisfactory and is at par with the recent previous implementation. 07 30 2020 1095 1099 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3791.079220 https://www.ijrte.org/portfolio-item/B3791079220/ Department of Computer Science and Engineering, R V College of Engineering, Bengaluru, India. S. Kiruthika* Dr. Sowmyarani C.N. Department of Computer Science and Engineering, R V College of Engineering, Bengaluru, India. In recent times, usage of credit cards has increased exponentially which has given way to an increase in the number of cybercrimes related to transactions using credit cards. In this paper, the aim is to reduce the fraudulent credit card transactions happening around the world. Latest technologies like machine learning algorithms, cloud computing and web service implementation has been used in this paper. The model uses Local outlier factor algorithm and Isolation forest algorithm to develop the credit card fraud detection model using unsupervised learning techniques. The model has been implemented as a Web service to make the solution integratable with other applications and clients across the world. A third party prototype application is developed and integrated to the Fraud Detection Model using Web Services. The complete Fraud Detection System is deployed on the cloud. The Fraud Detection Model shows exceptionally high accuracy when compared to other models already existing. 07 30 2020 548 552 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3800.079220 https://www.ijrte.org/portfolio-item/B3800079220/ Department of Computer Science and engineering, VR Siddhartha Engineering College, Kanuru Vijayawada, India. Himakar Sai Chowdary Maddipati Manoj Kumar Alluri Department of Computer Science and engineering, VR Siddhartha Engineering College, Kanuru Vijayawada, India. Venkata Sai Maneesh Morampudi Department of Computer Science and engineering, VR Siddhartha Engineering College, Kanuru Vijayawada, India. Likhitha Kolupuri Department of Computer Science and engineering, VR Siddhartha Engineering College, Kanuru Vijayawada, India. Anuradha Chinta Department of Computer Science and engineering, VR Siddhartha Engineering College, Kanuru Vijayawada, India. This is about developing an android app for replicating the mechanism of hearing aid machine. Majority of the Hearing Impaired people cannot afford hearing aids due to higher cost of the Instruments. Similarly Audiometry Test for assessing the Deafness levels are also costly. Affordable Smartphone are available with majority of the Hearing Impaired people in Indian. So, we propose a Mobile Application which consists of the following three Features. This APP enables Ear phones of Phone to function as Hearing Aid for people with hearing disability. This APP converts speech to Text so that Hearing impaired people can know what other people are talking without using SIGN Language. This APP provides Pure-Tone AudiometryTest to assess level of Hearing Loss. 07 30 2020 649 651 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3804.079220 https://www.ijrte.org/portfolio-item/B3804079220/ Mangosuthu University of Technology Dr. Kehdinga George Fomunyam Engineering social justice education (ESJ) is an emerging core subject in engineering education (EE)and profession. However, several EE institutions are yet to incorporate social justice (SJ) into engineering courses, leading to strong advocacy for EE review of programmes. This paradigm shift is align with ESJ revised curricula to increase the power of engineering knowledge integrated with SJ, which explicitly harnessed in serving vulnerable society, thereby addressing injustices and inequalities; hence the crux of this paper. This paper was guided by Nancy Fraser’s theory of SJ that elucidates that a more equitable distribution of resources is interrelated with equal recognition of different identities/groups within a society. This theory looks at how individuals are prevented from participating as equals by denying them of available resources to do so. This paper takes a broad look at the impact of integrating SJ in EE in Africa, while examining the extent EE has addressed numerous inequalities and, exploring how engineering practitioners can work towards a more just and equitable society. The significance of SJ in EE in the 21st century were discussed among others. Thus, to address social justice in EE, collaboration amongst educational sector and engineering industrialists are central in building and revising EE curriculum inclusive of SJ themes to consolidate engineering professional ethics. This will transform the way educators think about ESJ through creating or converting existing core curriculum courses to attract, retain, and motivate engineering students to become professionals to enact SJ in engineering field. 07 30 2020 716 722 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3810.079220 https://www.ijrte.org/portfolio-item/B3810079220/ MTech student in Network and Internet Engineering at Sri Jayachamarajendra College of Engineering, Mysuru, India. Vandana B V Ramya M V Assistant Professor, Department of Electronics and Communication, Sri Jayachamarajendra College of Engineering, Mysuru, India. In this real-world, there is a great necessity to satisfy the demands in all the communication systems to experience the best ever convenience and flexibility. Advancement in the IoT concept in the form of IoV has been a solution to overcome all the difficulties experienced during driving vehicles. The complete potential of IoV addresses many challenges of traffic monitoring and road safety measures by forming a distributed network of vehicles and collaborate between heterogeneous vehicular systems. IoV refers to the integration of networks that transmit information periodically between vehicles to vehicles, vehicles to roadside units and it is intended to play an essential role in this. The prevailing solutions like VANET, Vehicular Cloud Computing (VFC), and Mobile Cloud Computing are not ideal as there is high latency and delay in responsiveness. The collaboration of vehicular networks and fog computing forms a promising paradigm called Vehicular Fog Computing (VFC) which serves as a effective yet alternative method for VANETS’s. This paradigm consists of multiple near-end devices to carry out communication and computation of every vehicle. This paper presents certain scenarios of moving and idle state of vehicles by adapting VFC methods, wherein as a result of this communication and computation infrastructure, it showcases the capabilities of VFC. The objective here is to present four different scenarios of a vehicle in motion and in idle state, which brings out an interesting relationship between the communication capability and connectivity of the vehicles. 07 30 2020 581 585 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3811.079220 https://www.ijrte.org/portfolio-item/B3811079220/ Assistant Professor, Department of Automobile Engineering, Sathyabama Institute of Science and Technology, Chennai ,India. P. Sivashankari R. Ranjithkumar Student, Department of Automobile Engineering, Sathyabama Institute of Science and Technology, Chennai, India. K. Kailash Student Department of Automobile Engineering, Sathyabama Institute of Science and Technology, Chennai ,India. K.R. Kavitha Assistant Professor, Department of Automobile Engineering, Sathyabama Institute of Science and Technology, Chennai ,India. J. Lilly Mercy Associate Professor, Department of Automobile Engineering, Sathyabama Institute of Science and Technology, Chennai ,India. S. Prakash Professor, Department of Automobile Engineering, Sathyabama Institute of Science and Technology, Chennai ,India. Radiators used in the automotive application are a class of heat exchangers whose main purpose is to cool the coolant coming from the internal combustion engines. These coolants flow through tubes covered with fins that facilitate a faster way of heat transfer to the surrounding more efficiently. With the increase in efficiency of the engine cooling system it directly helps in the longevity of the engine in other words, the life of the internal combustion engine increases multifold times. Upon investigating we found different shapes that can be used to optimize the radiators efficiency. There are several other ways to improve the efficiency of a radiator. And these can be achieved by improving the surface area of the radiator, improving airflow through it, improving coolant property which flows through these tubes covered with fin all around and at last using alternate materials that prove to be more efficient than the present ones that are being used. The demand of the current times of climate change and energy crisis have paved way for improved heat transfer rates and designing radiators in smaller dimensions and sizes at the same time being more efficient than the previous generation of radiators. With the above conditions in mind, it has been found out that with a simple modification of changing the existing rectangular-shaped radiators into spiral-shaped ones thereby improving efficiency to improved levels, which finds its use in the current generation of vehicles which are benefitting from the improved rate of heat transfer taking place. The spiral radiator of copper tube used here is wound in two coils connected centrally. Spiral tubes of the radiator have circumferential fins. In this type of configuration, heat transfer rate will increase because of having a circumferential fin across the length of the spiral tube through which water flows. These design considerations have been done keeping in mind the major aims to achieve for this type of design and they are improving heat transfer rate and achieving compactness of shape of radiator. We also did Computational Fluid Dynamics or CFD Analysis to test the material properties for the application of heat transfer and how it fares against old materials. 07 30 2020 652 656 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3814.079220 https://www.ijrte.org/portfolio-item/B3814079220/ Department of Electronics & Communication Engineering, Siddaganga Institute of Technology, Tumakuru, Karnataka, India. Pradeep H S* A conventional probe fed square patch antenna with a triangular notch & a rectangular slot with perturbation is designed and simulated for triple band operation for applications in communication systems like Wi-MAX systems is presented. The antenna is designed on the glass epoxy FR4 substrate. With the fixed feed point location, the notch angle is varied from 1800 to 1400 resulting in single and dual resonance behavior of patch antenna. With the notch angle from 1800 to 1650, antenna resonates at a single frequency but on further reduction of notch angle from 1650 to 1400, dual resonance behavior is noticed with improved bandwidth. The optimum performance is obtained for a notch angle of 1500. The maximum radiation efficiency of ⁓ 40% is obtained. Further, a rectangular slot with perturbation at shorter edges give rise to additional resonant frequency. The other performance parameters of antenna are analyzed by varying notch angle and its position. 07 30 2020 657 660 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3824.079220 https://www.ijrte.org/portfolio-item/B3824079220/ Professor of water resources management and engineering Universitas Brawijaya, Malang, Indonesia. P.T. Juwono* R. Asmaranto Associate professor, Department of Water Resources Engineering, Faculty of Engineering, Universitas Brawijaya, Malang, Indonesia. A. Murdhianti Doctoral Program on the Department of Water Resources, Faculty of Engineering, Universitas Brawijaya, Indonesia. Ngancar Dam is located in Ngancar Village, Batuwarno Sub district, Wonogiri Regency Central Java Province. This dam was built in 1944-1946 and is classified as an old dam in Indonesia which has a function to meet the needs of 1300 ha of irrigation water. Ngancar Dam is a type of rock fill dam with a soil core, has a height of 19.40 m above the riverbed and 25.40 m above quarry. The length of the dam peak is 181.00 m and the width is 5.00 m while the reservoir volume at the normal water conditions is 1.64 million m3. Because the Ngancar Dam has been operating for a long time then required the evaluation on the service age of the reservoir due to sedimentation so that it effects on the operating pattern and safety of the dam. Based on the results of hydrological analysis and reservoir bathymetry analysis obtained the information that the reservoir sedimentation rate equal to 4,266.08 m3/year or 11.9 m3/day and this requires mechanical and non-mechanical handling efforts to reduce the sedimentation rate. 07 30 2020 661 667 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3825.079220 https://www.ijrte.org/portfolio-item/B3825079220/ Assistant Professor, AP Goyal Shimla University. India Amreen Khatun Rajat Sharma Assistant Professor at AP Goyal Shimla University. India Nikhil Chauhan Civil Engineering A P Goyal Shimla University, India In India road accidents are very serious problem because of large population and high traffic density of vehicles. Most of the road accidents occur mainly due to the negligence of driver and poor infrastructure only a few accidents occur due to the technical error of vehicles. The main purpose of this research paper is prevention of road traffic accidents and improvement of road safety in Shimla. Road safety is very important aspect of today’s life, so it is important that everybody should aware about road safety. To do this study a section of 12km length is chosen between Panthaghati to Dhalli in district Shimla on NH 5 where accidents black spots are identified for the section by analyzing secondary data used to prevent road accidents. In this study primary data is used for observing the road conditions and secondary data is used to find accidents black spot. Black Spot is a point or a place on the road where road accident occurs repeatedly one after another which is known as accident black spot. To identify these black spots we use weighted severity index (WSI) method. It is one the most reliable and effective method for determining the most proven accidents black spots. Shimla is a hilly area and it has narrow roads, blind curve and black spots which increase the chances of road traffic accidents. In past recent years road traffic accidents are increasing in Shimla and this study deals with identification of major issues causing road traffic accidents. This research paper helps to improve the road safety in Shimla because in this study the analysis has been done to identify the major problems responsible for gradually increasing road accidents. This research paper is also used in future research paper as reference purpose and it will also provide an overview to other researchers who want do their research on similar kind of topics. 07 30 2020 723 728 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3827.079220 https://www.ijrte.org/portfolio-item/B3827079220/ Research Scholar, Department of Civil, BIT Sindri, Dhanbad, Jharkhand, India. Jayant Singh* Dr. U.K Singh Department of Civil, BIT Sindri, Dhanbad, Jharkhand, India. Dr.R.K Singh Department of Chemistry, BIT Sindri, Dhanbad, Jharkhand, India. The engineering strength properties of expensive soils (clayey soil) such as compaction characteristics and bearing capacity can be improved by stabilization process of the soil. These properties can be improved by controlled compaction using the mechanical equipment’s or by addition of suitable admixtures like cement, fly ash, lime, gypsum or by reinforcing the soil with shredded tyre, crumb rubber, plastic waste etc. But gypsum is used now a days to enhance the geotechnical properties. So, in this research paper gypsum and calcium chloride has been used to improve the various strength properties of natural soil. The objective of this research paper is to examine the strength properties of natural clayey soil reinforced with different percentage of gypsum by the weight of soil and fixed percentage of calcium chloride(Cacl2) as a binding material. A series of Standard Proctor tests(for calculation of MDD and OMC) and California Bearing Ratio (C.B.R) tests are conducted on both raw clayey soil and reinforced soil with different percentages of gypsum (2%, 4%, 6% and 8%) by weight and with fixed percentage of calcium chloride (0.75%). A comparison between properties of raw clayey soil, raw clayey soil mixed with gypsum and raw clayey soil mixed with gypsum and calcium chloride (CaCl2) are performed. It is found that the properties of clayey soil mixed with gypsum and calcium chloride (CaCl2) are suitably enhanced. 07 30 2020 668 673 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3828.079220 https://www.ijrte.org/portfolio-item/B3828079220/ Associate Professor, AITAM, Andhra Pradesh, India. Surapu Ramlal* Ponnana Ram Prasad Assistant Professor AITAM, Andhra Pradesh, India. Dora Prudhvi Raju M. Tech AITAM, Andhra Pradesh, India. Demolition waste increasing day by day. The old damaged building materials can be used in present buildings or other construction works. Especially the recycled aggregates are useful to the concrete structures. The experimental studies on the use of recycled coarse aggregate has been going on for many countries. This publication focuses on the relationship between the shear capacity and the flexural cracking load of reinforced recycled concrete beams with stirrups, this experimental Inspection with partial replacement of natural coarse aggregates (NAC) with recycled coarse aggregates (RAC) at different ages as 10, 20 and 30 years in various proportions as 20 per cent, 30 per cent, 40 per cent. For this, M30 grade of concrete is consider. Curing of specimens were done for 7 day and 28 days to conclude the maximum strengths. The obtained results of concrete with partial replacement of recycled aggregates of 10,20and 30 years age group conclude maximum compressive strength of 35.84 N/mm2 at 40% replacement of NCA with RCA of age group (10 years) and 34.12 N/mm2 at 30% replacement of NCA whit RCA of (20 years) age group and 36.14 N/mm2 20% replacement of NCA with RCA of age group (30 years). After the compressive strength, beam specimens were casted for 7day and 28 days. Based on test results of 8 beams, the relationship between the cracking load that causes a beam to crack in the middle of the shear span and the beam's shear capacity is confident. All beams are reinforced in the longitudinal direction only and only tested under two-point loading conditions. The average analytical cracking load ratio is 0.60.the mid-shear span at cracking load (Vcr-a/2) in comparison with the observed shear capacity (Vexp). The analytical cracking load ratio. The analytical cracking’s load was used in this exploration as it is more reliable than the observed cracking load. At mid-span, the shear capacity of most of the beams was shown to be 50%. The average shear capacity ratio to the related test crack load in the center of the shear span 0.43. The analysis showed that cracking loads are strongly related to the shear capacity of the members. This relationship can be used to develop recycled reinforced beam members ' shear design process. 07 30 2020 321 326 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3831.079220 https://www.ijrte.org/portfolio-item/B3831079220/ Associate Professor, School of Information Technology and Engineering Vellore, India T. Chellatamilan B. Valarmathi Associate Professor, School of Information Technology and Engineering Vellore, India K. Santhi Associate Professor, School of Computer Science and Engineering Vellore Institute of Technology, Vellore, India In the recent few years, text analyses with neural models have become more popular due its versatile usages in different software applications. In order to improve the performance of text analytics, there is a huge collection of methods that have been identified and justified by the researchers. Most of these techniques have been efficiently used for text categorization, text generation, text summarization, query formulation, query answering, sentiment analysis and etc. In this review paper, we consolidate a recent literature along with the technical survey on different neural models such as Neural Language Model (NLM), sequence to sequence model (seq2seq), text generation, Bidirectional Encoder Representations from Transformers (BERT), machine translation model (MT), transformation model, attention model from the perception of applying deep machine learning algorithms for text analysis. Applied extensive experiments were conducted on the deep learning model such as Recurrent Neural Network (RNN) / Long Short-Term Memory (LSTM) / Convolutional Neural Network (CNN) and Attentive Transformation model to examine the efficacy of different neural models with the implementation using tensor flow and keras. 07 30 2020 750 758 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3838.079220 https://www.ijrte.org/portfolio-item/B3838079220/ Assistant Professor, Electrical & Electronics Engineering Department, Vignan Institute of Technology and Scince,Hyderabad D Anil Kumar Dr.T.Rama Subba Reddy Professor , Electrical & Electronics Engineering Department Vignan Institute of Technology and Scince,Hyderabad A.Hari Prasad Assistant Professor, Electrical & Electronics Engineering Department Vignan Institute of Technology and Scince,Hyderabad P Sirisha Assistant Professor, Electrical & Electronics Engineering Department Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad Absence of phase is a very common and serious problem in every sector, at home or workplace. Many times, one or two phases in three phase supply cannot be live. Regardless of this, certain electrical equipment in one room and OFF in another room would be on, several times. This causes considerable disturbance to our routine work. This paper is intended to test the availability of any live phase, and will only link the load to the specific live phase. There is only one phase available, and then the load will still be ON. The idea is conceived with ARDUINO. This controller continually checks the live state of all connected phases, using a Relay the load is connected to active phase by controller. Transistor is operated the relay.When two or more phases are active but load is only connected to phase 1,that active phase number is display in LCD for observation. 07 30 2020 973 975 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3842.079220 https://www.ijrte.org/portfolio-item/B3842079220/ Systems and Control Engineering, IIT Bombay, India. Khairul Eahsun Fahim* Md Sakib Hossain Mechanical Engineering, Islamic University of Technology, Gazipur, Bangladesh. Monzurul Karim Afgani Electrical and Electronics Engineering, BRAC University, Bangladesh. Shaikh Mohammad Farabi Frontier Informatics, Kyoto Sangyo University, Japan. Soad Shajid Mechanical Engineering, Islamic University of Technology, Bangladesh. DC-to-DC converter is an electronic circuit that converts direct current (DC) from a given voltage to another. DC-DC converters have a broad range of applications, starting from electronic gadgets to household equipment, adapters of mobile phone and laptops, aero plane control frameworks and communication hardware. This paper illustrates the practical application of DC-DC boost converter using Sliding Mode Control (SMC). DC-DC converters can be categorized into different categories in terms of mechanical, electrical and electronic features. SMC DC-DC converters show better performance compared to other converters under certain conditions. This nonlinear control system is especially well suited for Variable Structure Systems. The most significant advantage of Sliding Mode Control over conventional control systems is its robustness against load, line and parametric uncertainties. 07 30 2020 674 678 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3846.079220 https://www.ijrte.org/portfolio-item/B3846079220/ Associate Professor, CSE Department, Easwari Engineering College, Chennai, Tamil Nadu. K. P. K. Devan Sruthi Prabakaran P CSE Department, Easwari Engineering College, Chennai, Tamil Nadu. Tamizhazhagan S CSE Department, Easwari Engineering College, Chennai, Tamil Nadu. Vaishnavi S CSE Department, Easwari Engineering College, Chennai, Tamil Nadu. Examinations/Assessments are a way to assess the understanding of a student on a particular subject. Even today many educational organizations prefer to conduct exams by offline mode (pen and paper). And evaluating them is a time-consuming process. There is no effectual model to evaluate Offline descriptive answers automatically. The traditional method involves staff assessing the content manually. In place of this process, a new approach using image captioning by using deep learning algorithms can be implemented. Handwritten Text Recognition (HTR) can be used to evaluate descriptive answers. One-word Answers captured as images are pre-processed to extract the text features using deep learning models and pytesseract. This paper presents a comparison between the CNN-RNN hybrid model and Optical Character Recognition (OCR) to predict a score for one-word answers. 07 30 2020 679 682 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3849.079220 https://www.ijrte.org/portfolio-item/B3849079220/ Assistent Professor, Department of Mechanical Engineering, B.M.S. College of Engineering, Bull Temple Road, Bengaluru, Karnataka, India Suhas B.G Kavadiki Veerabhadrappa Assistent Professor, Department of Mechanical Engineering, B.M.S. College of Engineering, Bull Temple Road, Bengaluru, Karnataka, India System of Ammonia-Water-Lithium Bromide overcomes the disadvantage of Ammonia-Water absorption refrigeration system. Addition of lithium bromide reduces the formation of water vapour thus presents its entry into the condenser. A set of computational formulations of thermodynamic and Thermophysical properties of Ammonia-Water, Water-Lithium bromide and Ammonia-Water-Lithium Bromide solutions at different pressures and temperatures are presented in the paper. Obtained results are validated with the experimental data which were available in the literature. It is found to be in good agreement with those values of the literature.. 07 30 2020 683 687 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3850.079220 https://www.ijrte.org/portfolio-item/B3850079220/ Department of EEE, Raghu Institute of Technology, Visakhapatnam, India, Syed. Siddik G. Joga Rao Department of EEE, Raghu Institute of Technology, Visakhapatnam, India, D.V.N. Ananth Department of EEE, Raghu Institute of Technology, Visakhapatnam, India, For industrial, electrical vehicles, drives, and grid applications ac-dc based inverters with power factor correction is considered as a key element to meet the power system firm regulatory rules. Among these dc-ac inverters, bridgeless converters play a vital role. In this paper, Bridgeless cuk and zeta converter-fed brushless dc (BLDC) motor drive is studied for power factor correction (PFC) and power quality improvement. The major objectives of this work are (i) dc bulk capacitance and inductance use is decreased, so that permanence film capacitors can be utilized, (ii) overall efficiency of BLDC drive system is improved due to decreased losses in the switches and conducting devices and (iii) guaranteed high or unity source power factor. The motor and source parameters are examined in this study for PFC using CUK and ZETA based dc-dc converters with MATLAB software. The work is compared with bridgeless ZETA, CUK and 07 30 2020 976 983 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3853.079220 https://www.ijrte.org/portfolio-item/B3853079220/ Department of Civil, Bannariamman Institute of Technology, Erode, India Mr. A. Mohanraj* Mrs. N. Karthiga Department of Civil, Bannariamman Institute of Technology, Erode, India Mrs. S. Durdadevi Department of Civil, Bannariamman Institute of Technology, Erode, India Mrs. S. Dhivyabharathi Department of Civil, Bannariamman Institute of Technology, Erode, India Dr. V. Senthilkumar Department of Civil, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India Concrete is the main building material. When concrete becomes hard, it gives strength to the structure. Many times it is a difficult task to pour the concrete into the formwork and compact it perfectly. This has been overcome by using Self-Compacting Concrete (SCC). Such a concrete is one of the advanced building materials in the field of construction industry. Unlike the other type of concrete, this kind of concrete compact’s effectively under its own weight. There is no need of any external vibration or compaction procedure to minimal the concrete in formwork. It can easily flow in every corners of the formwork without blocking. This project deals with SCC in which, the binary material used is Ground Granulated Blast Furnace Slag (GGBS) as mineral admixture at various percentage of replacement. To reduce the measure of water used in concrete, Auromix-400 is used as Super Plasticizer at a constant dosage. Several tests were carried out to study the behavior of fresh and hardened concrete. Test for fresh concrete includes slump flow, V Funnel test. Similarly, the properties of concrete were also determined by conducting compression and Spit tensile test. At the same time the simulation model was also developed to test the proposed system using the artificial neural network (ANN) protocol. The ANN model is built on six objects with multiple output-multiple. Single Output Type - In the second method, the artificial neural network model is a single input neural network that is built on top of multiple inputs - where multiple inputs has been predicted separately based on various types of neural function - Secondly, the ANN model is built on multiple inputs. The results indicate the superiority of the neural network method in terms of the accuracy of publication prediction results. 07 30 2020 776 781 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3867.079220 https://www.ijrte.org/portfolio-item/B3867079220/ Asst Prof in Department of Commerce St. Joseph's college of Arts and Science for Women Dr. S. Kavitha Dr. B. Mathivanan Professor and Head Department of Commerce MGR Arts and Science College In olden days customers were transacting money through traditional banking. Traditional banking is the process of handling with common bank transactions like making withdrawals and deposits in a bank that maintains a physical location. In traditional banking system, the customer can contact the staff for their transactions. These include opening a new account, check deposit, withdrawing funds and applying for a loan etc. The main feature of traditional banking is the customer can ask their queries and clarify their doubts immediately to the staff who is working in the bank. After a big boon in the banking industry, banks realized that the rising popularity of the World Wide Web involves consumers using the Internet to access their bank account and to undertake the banking transactions. From the bank’s perspective, the online banking platform provides low-cost channel for both transactions and building relationships. 07 30 2020 759 765 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3885.079220 https://www.ijrte.org/portfolio-item/B3885079220/ Assistant Professor. Department of Comp. Sc., Mrs KMPM. Vocational college, Jamshedpur, India. Sandip Kumar Singh Modak Dr. Vijay Kumar Associate professor, Department of Engg., BIT Mesra Ranchi, India. The Unimodal biometric framework have various fundamental issues, for example, intra-class alteration, noisy data, failure-to-enroll, spoofing attacks, unacceptable error rate and non-universality. To defeat this shortcoming multibiometric is a decent alternative where we can utilize at least two individual modalities. This paper gives a comparative analysis of multi-algorithm and multimodal system framework based on rank level fusion. An effective combination strategy that integrates information given by different domain specialist dependent on rank level fusion approach is utilized to enhance the presentation of the framework. The rank of individual matcher is combined using the highest rank, Borda count, weighted Borda count, nonlinear weighted approach and Bucklin combination approach. The outcomes of the results show there is a noteworthy exhibition enhancement in the identification accuracy can be accomplished when contrasted those from unimodal frameworks. The outcomes also reveal that combination of individual modalities can enhance the biometric system performance. The experiment based on multimodal (NIST BSSR1 multimodal database of fingerprint and face) and multialgorithm (Hong Kong Polytechnic University database of palmprint) system shows an improvement in term of the Rank-1 identification rate of the system. 07 30 2020 844 853 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3890.079220 https://www.ijrte.org/portfolio-item/B3890079220/ M.E., Ph.D., Associate Professor, Department of Civil Engineering, Coimbatore Institute of Technology, Coimbatore, Tamilnadu, India. Dr. Suyamburaja Arulselvan Dr. G. Puvaneswari M.E., Ph.D, Assitant Professor (SG), Department of ECE, Coimbatore Institute of Technology, Coimbatore, Tamilnadu, India Experimental investigations have been conducted on brick prism specimens to study its performance with the presence of reinforcement. Brick prisms were constructed using red bricks, fly ash bricks and concrete bricks with and without embedding steel reinforcement. Cement mortar with 1:5 and 1: 6 mixes have been used to build prisms. Concrete bricks of same sizes were casted in the lab and used after proper curing. Brick prisms were subjected to compressive force by Universal Testing Machine. Compressive strength of different types of brick prisms were compared and plotted. Compressive strengths were improved by embedding steel reinforcement in the brick works. Reinforced Concrete brick prisms contributed higher strength. Reinforced fly ash brick prism contributed higher compressive strength than the red brick. By embedding reinforcements in the brick works, load carrying capacity and stability of brick works have been improved. Due to ductile properties of steel reinforcement, steel embedding brick works led to ductile and reduce brittle cracks. Overall performance of brick works improved by embedding steel reinforcement 07 30 2020 766 770 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3893.079220 https://www.ijrte.org/portfolio-item/B3893079220/ Student, School of Mechanical and Civil Engineering, MIT Academy of Engineering, Alandi, Pune, Maharashtra, India. Jayprakash Umap Shantanu Shelke Student, School of Mechanical and Civil Engineering, MIT Academy of Engineering, Alandi, Pune, Maharashtra, India. Satyam Tripathi Student, School of Mechanical and Civil Engineering, MIT Academy of Engineering, Alandi, Pune, Maharashtra, India. Omkar Karande Student, School of Mechanical and Civil Engineering, MIT Academy of Engineering, Alandi, Pune, Maharashtra, India. Abhimanyu Chandgude Assistant Professor, School of Mechanical and Civil Engineering, MIT Academy of Engineering, Alandi, Pune, Maharashtra, India. In the last decade, invention of new material is the point of interest of researchers. Carbon composite epoxy is one of those materials, which are currently used in transportation, aerospace, structural as well as naval applications. It is very difficult to machine those carbon composite materials using traditional methods, so an updated solution for this issue is machining using Abrasive Water Jet. Significant input parameters namely Standoff Distance, Abrasive Mass Flow Rate and Traverse Rate are varied for various outputs, out of which kerf width is main point of focus. For précised values, Kerf Width measurement is carried out using Profile Projector. The process parameters were further optimized using GRA and Taguchi method. Regression models were developed for correlation with actual generated data using experiments. The result obtained using Optimization technique and Taguchi method is confirmed using confirmation experiment. The parameters were optimized for Kerf Width of carbon fibre with reference to input parameters by using AWJM. 07 30 2020 955 961 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3894.079220 https://www.ijrte.org/portfolio-item/B3894079220/ Senior Lecturer, Deaprtment of Agricultural Economics and Extension, North West University. Mzuyanda Christian Phiwe Jiba Department of Agricultural Economics and Extension, North West University. Lelethu Mdoda Lecturer, Department of Agricultural Economics and Extension, University of Fort Hare. Agriculture is one of the imperative segments in the South African economy and it remains the imperative sector for livelihood generation. However, it has been observed that farmers are gradually giving up agriculture in favor of non-agricultural activities. This paper examines the factors influencing agricultural land abandonment in Mnquma and Mbashe Municipalities in Eastern Cape Province. Surveys of 158 semi-structured field interviews were conducted to capture household characteristics, location and farming practices in the study areas. The findings show that limited access to funding, level of education, household size and farming experience seem were the main factors influencing abandonment of rain-fed agricultural land. Another notable reason for agricultural land abandonment was the lack of resources such as storage facilities, transport and access to lucrative markets. Therefore the study recommended that government policies should go beyond supporting primary production and focus also on value adding activities. One of the findings indicated that these areas are dominated by older people (55 years). The study also recommended that focus should be directed on more manageable small plots for older people to increase food production. 07 30 2020 1213 1219 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3896.079220 https://www.ijrte.org/portfolio-item/B3896079220/ School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India. Simriti Koul* The research incorporated encircles the interdisciplinary theory of cognitive science in the branch of artificial intelligence. It has always been the end goal that better understanding of the idea can be guaranteed. Besides, a portion of the real-time uses of cognitive science artificial intelligence have been taken into consideration as the establishment for more enhancements. Before going into the scopes of future, there are many complexities that occur in real-time which have been uncovered. Cognitive science is the interdisciplinary, scientific study of the brain and its procedures. It inspects the nature, the activities, and the elements of cognition. Cognitive researchers study intelligence and behavior, with an emphasis on how sensory systems speak to, process, and change data. Intellectual capacities of concern to cognitive researchers incorporate recognition, language, memory, alertness, thinking, and feeling; to comprehend these resources, cognitive researchers acquire from fields, for example, psychology, artificial intelligence, philosophy, neuroscience, semantics, and anthropology. The analytic study of cognitive science ranges numerous degrees of association, from learning and choice to logic and planning; from neural hardware to modular mind organization. The crucial idea of cognitive science is that "thinking can best be understood in terms of representational structures in the mind and computational procedures that operate on those structures." 07 30 2020 928 932 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3900.079220 https://www.ijrte.org/portfolio-item/B3900079220/ Department of Civil Engineering, Jamia Millia Islamia, New Delhi, India. Ajmal Paktiawal* Mehtab Alam Department of Civil Engineering, Jamia Millia Islamia, New Delhi, India. Cement concrete, a universally accepted construction material is enough strong in compression but weak in tension with limited ductility and therefore its resistance to cracking is low attributed to the inherent presence of micro-internal cracks. In order to improve its resistance to cracking, and post peak response, alkali-resistant glass fiber (ARGF) as an additive is one of the options. This is added in certain percentage during mixing and the concrete is generally called alkali-resistant glass fiber reinforced concrete (ARGFRC). This paper presents review of the experimental research works carried out on use of type with regards to aspect ratio and quantity of ARGF in cement concrete. Type and quantity both influence the properties of fresh and hardened ARGFRC. The dosage effect with quantity of the fiber on fresh concrete such as workability, and mechanical performance, seismic vulnerability evaluation, microstructural analysis, durability aspects on hardened concrete have been reviewed. It is found that alkali-resistant glass fiber together with silica fume can be utilized to enhance the toughness and load carrying capacity and improve the stiffness of the composite concrete. 07 30 2020 933 950 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3911.079220 https://www.ijrte.org/portfolio-item/B3911079220/ Professor and head, Department of Mechanical, Kamala Institute of Technology and Science, Karimnagar, Telangana Dr. M. V. Satish Kumar Mr. M. Pradeep Kumar Assistant Professor, Department of Mechanical, Kamala Institute of Technology and Science, Karimnagar, Telangana Mr. S. Vamshi Krishna Assistant Professor, Department of Mechanical, Kamala Institute of Technology and Science, Karimnagar, Telangana Mr. K. Vikram Kumar Assistant Professor, Department of Mechanical, Kamala Institute of Technology and Science, Karimnagar, Telangana Manufacturing a defect free (quality) product is playing a vital role in today’s globally competitive, customer oriented era. Meeting the demand of the market by producing sufficient quantity is another challenge. Achieving greater production rates without compromising on quality, increases the complexity of the task. Adopting modern manufacturing methods like CNC turning are essential to meet the above requirements. EN19 is an important member in the family of alloy steels, which has a wide variety of applications in automobile and machine tool industries. Optimization of machining parameters is crucial in obtaining the required outputs such as quality and productivity. In this work, optimization of CNC turning parameters for machining EN19 alloy steel is performed. The number of experiments was designed using face centred central composite based response surface methodology with varied independent process parameters namely cutting speed, feed and depth of cut. After designing the experiments, the performance measures such as surface roughness of the test samples and Material Removal Rate (MRR) is calculated using the existing formulae. The influence of parameters on MRR and surface roughness are determined by analysis of variance (ANOVA) and for significance interactions of the process parameters are also considered. Using MINITAB 17 software analysis is performed. Further, regression analysis has been done and second order mathematical model is obtained. Using desirability approach, optimization is carried out. 07 30 2020 889 896 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3923.079220 https://www.ijrte.org/portfolio-item/B3923079220/ Computer Engineering, Pune Institute of Computer Technology, Pune, India. Udit Barde Archana Ghotkar Computer Engineering, Pune Institute of Computer Technology, Pune, India. Sign language is the only method of communication for the hearing and speech impaired people around the world. Most of the speech and hearing-impaired people understand single sign language. Thus, there is an increasing demand for sign language interpreters. For regular people learning sign language is difficult, and for speech and hearing-impaired person, learning spoken language is impossible. There is a lot of research being done in the domain of automatic sign language recognition. Different methods such as, computer vision, data glove, depth sensors can be used to train a computer to interpret sign language. The interpretation is being done from sign to text, text to sign, speech to sign and sign to speech. Different countries use different sign languages, the signers of different sign languages are unable to communicate with each other. Analyzing the characteristic features of gestures provides insights about the sign language, some common features in sign languages gestures will help in designing a sign language recognition system. This type of system will help in reducing the communication gap between sign language users and spoken language users. 07 30 2020 854 857 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3925.079220 https://www.ijrte.org/portfolio-item/B3925079220/ Faculty of Engineering, Computer Engineering Department, Bina Nusantara University, Jl KH Syahdan 9, Jakarta 11480, Indonesia Ivan Alexander* Nanda Adytiansyah Graduate Program, Master of Information Technology, Bina Nusantara University, Jl KH Syahdan 9, Jakarta 11480, Indonesia Oei Kurniawan Utomo Graduate Program, Master of Information Technology, Bina Nusantara University, Jl KH Syahdan 9, Jakarta 11480, Indonesia City Sembada Denrineksa Bimorogo Graduate Program, Master of Information Technology, Bina Nusantara University, Jl KH Syahdan 9, Jakarta 11480, Indonesia Erick Pinenka Graduate Program, Master of Information Technology, Bina Nusantara University, Jl KH Syahdan 9, Jakarta 11480, Indonesia Behavior Driven Development (BDD) is a software development process that combines the general techniques and principles of Test Driven Development (TDD) with ideas from Domain Driven Design (DDD) and Object Oriented (OO) analysis. It describes a cycle of interactions with well-defined outputs, resulting in the deliverable, tested working software. Today, BDD has evolved into an established agile practice. However, compared to other agile methodology frameworks, such as Scrum and Kanban, BDD is a relatively new. Thus, available resources explaining BDD is still limited and the BDD approach is still under development. Based on this observation, this literature review aims to provide the key of success as well as the challenge that lies on the implementation process of BDD in IT Project. We identified 3 success factors and 5 challenges. The success factors are focusing in product value, having a thorough system behavior definition, and using the right BDD supporting tools. Meanwhile, the most challenging part are the difficulties in writing BDD scenario and automating the test case to maintain the system quality. 07 30 2020 858 861 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3926.079220 https://www.ijrte.org/portfolio-item/B3926079220/ Faculty of Engineering, International Islamic University Malaysia, Gombak, Malaysia. Shariq Haseeb* Aisha Hassan A. Hashim Faculty of Engineering, International Islamic University Malaysia, Gombak, Malaysia Othman O. Khalifa Faculty of Engineering, International Islamic University Malaysia, Gombak, Malaysia. Ahmad Faris Ismail Faculty of Engineering, International Islamic University Malaysia, Gombak, Malaysia Late 2019 and a significant part of early 2020 have witnessed the outbreak of Coronavirus disease-19 (COVID-19) across the world. As a desperate attempt to control the virus spread, many countries are enforcing measures to restrict large concentration of people at one place and are implementing some form of contact tracing mobile application to quickly track close interactions between people. Furthermore, as businesses come out of lockdowns, they are required to record the temperature of all visitors and staffs that move in and out of their premises. Some businesses are employing medical grade contactless thermal imaging cameras for scanning temperature. Communication and sharing of information between the contact tracing application and thermal cameras would make an effective tool against COVID-19. However, there is a disconnect between the contact tracing applications and contactless thermal imaging solutions because they employ different communication stacks, platforms, data formats, and protocols. Furthermore, any kind of middleware to mediate between the cameras and the mobile applications would render the solution useless because of the induced latencies. In this paper, we are proposing to virtualize the communication between the cameras and mobile applications so that they could communicate and interoperate over a common protocol stack. We further model and simulate the proposed virtualized communication algorithm, under various topologies and configurations to comprehensively evaluate the performance, scalability, and deployment feasibility. The simulation aptly and efficiently evaluates the results for latency, energy, and bandwidth consumption parameters. 07 30 2020 1060 1066 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3929.079220 https://www.ijrte.org/portfolio-item/B3929079220/ Department of Electrical Quantities Metrology, National Institute of Standards (NIS), Giza, Egypt. A. Eliwa Gad M. Helmy A. Raouf Department of Electrical Quantities Metrology, National Institute of Standards (NIS), Giza, Egypt A. A. Ammar Department of Electrical Engineering, Al-Azhar University, Cairo, Egypt In this paper, a proposed inductive voltage divider is described to be operated manually and automatically, which is not provided by the ordinary decade inductive voltage dividers. Design of that programmable inductive voltage divider (PIVD) is investigated and presented in detail. The introduced PIVD mainly consists of inductive elements, relays, microcontroller to get the required output voltage ratios through its three stages. This PIVD is designed to produce 999 steps in the range from 1×10-3 to 999×10-3 output ratios using minimum inductive elements and reed relays. Simulation of this PIVD has been performed and illustrated as well as practical design components are discussed in detail. 07 30 2020 897 901 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3930.079220 https://www.ijrte.org/portfolio-item/B3930079220/ Department of Information Technology, Pimpri Chinchwad College of Engineering, Savitribai Phule Pune University, Pune, India. Akshay Babrekar* Rohini G. Pise Department of Information Technology, Pimpri Chinchwad College of Engineering, Savitribai Phule Pune University, Pune, India. Cloud storage enables user to store data and make it available when it is requested by user. Data generated electronically is very important and it must be encrypted to make sure that the data is tramper-proof. There are two important points to be considered, keyword guessing attack and making cloud storage secure from hackers. In Keyword guessing attack the Keywords search by user are encrypted using secure mechanism and securing the cloud storage means use such techniques which assured to give Confidentiality, Integrity and Accessibility using Blockchain Technology. It is decentralized cloud storage which assist different security mechanisms to protect data. Decentralized cloud storage is itself secure than centralized cloud storage. Because the concept of decentralized is not to store data on single storage device but to store on multiple servers. While storing the data on different location it divided into small parts, and at the time of retrieving data it is available as a complete single block of original data. Whereas in centralized cloud storage data is stored on single storage device. As technology progress the risk from fraudulent users also increases. For this reason, we need some encryption, decryption and authentication mechanism to verify user and if it is authenticated allow access to use its data. There are some techniques also available where user made request on cloud server to receive data which makes cloud server to learn keywords except resulting data. In this paper we make an attempt to review encryption and decryption for cloud storage using blockchain technology to improve security of data. 07 30 2020 862 867 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3931.079220 https://www.ijrte.org/portfolio-item/B3931079220/ Assistant Professor of Electronics and Communication Engineering, Basaveshwara Engineering College (Autonomous), Bagalkot, Karnataka, India. Mallikarjun Aralimarad Dr. Meena S. M. HOD and Professor School of Computer Science and Engineering, KLETECH, Hubli. India. Dr. Jayashree D. Mallapur Professor Department of Electrictronics and Communication Engineering department at Basaveshwar Engineering College (Autonomous), Bagalkot. India The present The present situation is having many challenges in security and surveillance of Human Action recognition (HAR). HAR has many fields and many techniques to provide modern and technical action implementation. We have studied multiple parameters and techniques used in HAR. We have come out with a list of outcomes and drawbacks of each technique present in different researches. This paper presents the survey on the complete process of recognition of human activity and provides survey on different Motion History Imaging (MHI) methods, model based, multiview and multiple feature extraction based recognition methods. 07 30 2020 902 908 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3933.079220 https://www.ijrte.org/portfolio-item/B3933079220/ Ph.D. Scholar, Department of Electrical Engineering, Shri Jagdishprasad Jhabarmal Tibrewala University, {JJTU}, Jhunjhunu, Rajasthan, India. Dipesh B. Pardeshi* Dr. Anupama Deshpande Associate Professor, Department of Electrical Engineering, Shri Jagdishprasad Jhabarmal Tibrewala University, {JJTU}, Jhunjhunu, Rajasthan, India. To meet needs of electricity in rural India, there is an alternative option to be searched as the traditional ways and present approach which is renewable energy based and decentralized. While considering for options in the renewable energy sector for this purpose, such as bio-energy technologies are being explored. This work basically is intended to minimize the problems and difficulties involved in the generation of power by biomass combustion technique. The work behind this paper is to conduct a power system analysis of a 6 MW biomass power plant to calculate an impinging force advantageously placed distributed or embedded generation on distribution systems using an iterative power system simulation tools as regards the load flows, short circuit or fault studies, relative protective relay co-ordinations. This paper is based on modeling of single line diagram and simulates it through Electrical Transient Analyzer Program (ETAP) software. This work is investigated and resolved the problem to build the required confidence that a high penetration of biomass power plant connected to the grid is both realistic and secure. 07 30 2020 799 808 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3935.079220 https://www.ijrte.org/portfolio-item/B3935079220/ School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India. Prajval Mohan* Tejas Jambhale School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India. Lakshya Sharma School of Computer Science and Engineering Vellore Institute of Technology, Vellore, Tamil Nadu, India. Simran Koul School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India. Simriti Koul School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India. Still in its early years, containers are increasingly being used in production environments. Containers offer a streamlined approach, easy deployment, and secure method of implementing infrastructure requirements also provide a much-improved alternative to virtual machines. A load balancer is required to distribute traffic across clusters. And now, with multiple container environments becoming widespread, load balancers are becoming a necessity to distribute traffic and reduce server load. Different load balancing algorithms provide a solution to this with varying efficiency. This paper presents a study on the latest methods which are being implemented to perform effective load balancing on containers. Docker Swarm and Kubernetes are the most widely used systems for deploying and managing a cluster of containers in an environment. The paper further demonstrates how Docker Swarm and Kubernetes can be used to minimize load traffic through load balancing techniques. We have introduced load balancing and different algorithms. Also, we have shown the implementations of load balancing algorithms in Docker and Kubernetes and finally compared the results. The paper finally concludes why Kubernetes is often preferred over Docker Swarm for load balancing. 07 30 2020 782 792 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3938.079220 https://www.ijrte.org/portfolio-item/B3938079220/ Department of Information Systems, Faculty of Engineering, Universiti Teknologi Malaysia, Johor, Malaysia. Ruth Chweya Samuel-Soma M. Ajibade Department of Computer Science, Faculty of Engineering, Universiti Teknologi Malaysia, Johor, Malaysia. Abba Kyari Buba Department of Information Systems, Faculty of Engineering, Universiti Teknologi Malaysia, Johor, Malaysia. Moveh Samuel department of Mechanical Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Johor, Malaysia. Internet of Things (IoT) and Big data have been speculated to result in various opportunities and challenges to higher learning. The two mentioned technologies inclusive of cloud computing, pervasive learning and 3D printer can improve teaching and learning beyond classrooms. Furthermore, the above-mentioned technologies have led to enhancements and valuable living in many sectors like education, medicine, agriculture, and even security. Taking into consideration the predictions made for IoT and Big Data, it is beneficial to provision for confidence in this current world. IoT and Big Data have therefore emerged as innovations to change the education sector for quality training, education, and research. However, there have been challenges accruing to the mentioned technologies. This study gave an approach of how both IoT and Big Data could play similar beneficial roles to higher learning. This paper suggests that IoT and Big data can be incorporated in learning as they complement each other in supporting intelligent connections. The outcome is an enriched learner with effective and efficient study surrounding. Further, from the study, both technologies also share similar issues like security, transparency, and huge gathered information. Hence, this paper concentrates on the relationship between IoT and Big Data, examines their opportunities in education and mentions their challenges to improve the education sector. 07 30 2020 909 913 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3943.079220 https://www.ijrte.org/portfolio-item/B3943079220/ College of Electrical and Information Engineering, Hunan University, Changsha 410082, China. L. D. P Cuong* Wang Dong College of Electrical and Information Engineering, Hunan University, Changsha 410082, China. D. T. Hoang College of Electrical and Information Engineering, Hunan University, Changsha 410082, China. L. M. N Uyen College of Life science, Hunan Normal University, Changsha 410082, China. Breast cancer in women is one of the most dangerous cancers leading to death in women by developing breast tissue. In this work, the application of the Deep Neural Network (DNN) model is implemented on AWS machine learning platform, besides, a comparison with other ML techniques includes XGBoost and Random Forest on a public dataset. Breast cancer prediction based on DNN model with Hyperparameter tuning has the best results of the plot of model accuracy for the training and validation sets and performance evaluation metrics to test the model. 07 30 2020 868 873 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3944.079220 https://www.ijrte.org/portfolio-item/B3944079220/ IT Department, Institute of Management Studies Noida, Noida, India. Dr. Archana Sharma* The Internet of Things as new paradigm is interconnection of computing ,physical and mechanical device together with people with the ability to transfer the data over network. The embedded devices may gather and swap over data with the support of network connectivity, sensors and electronics. The diversified deployment area of IoT are not limited to smart home application, health care industry, education industry and agriculture, etc. It also taking step ahead in developing new products or services in business. With the help of this emerging technology business will have the major impact by improved customer engagement, productivity enhancement, and better access to data, enhanced inventory tracking and security. Whereas the rapid growth rate of IoT network is getting attention of the cyber criminals. In recent advancement, different types of embedded IoT devices are connected together with wireless network and continuously access internet for communication. Cyber criminals are finding vulnerabilities on IoT devices and compromise them to launch massive attacks (e.g. DDoS, Spamming, MITM, RFID Skimming) to destroy the network. IoT devices having default authentication credentials are easy target. This paper highlights that how IoT may introduce the better opportunities in business and challenges of secure IoT connection and while communicating the IoT device. This research also highlights the security aspects of existing technologies and existing technologies and challenges with implementation. 07 30 2020 874 879 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3949.079220 https://www.ijrte.org/portfolio-item/B3949079220/ Prof. and Head, Department of Computer Science and Engineering, Younus College of Engineering and Technology, Kollam, Kerala, India, Dr. Nijil Raj N Anandu S Ram B.Tech Student, Department of Computer Science and Engineering, Younus College of Engineering and Technology, Kollam, Kerala, India Aneeta Binoo Joseph B.Tech Student, Department of Computer Science and Engineering, Younus College of Engineering and Technology, Kollam, Kerala, India Shabna S B.Tech Student, Department of Computer Science and Engi- neering, Younus College of Engineering and Technology, Kollam, Kerala, India, Banknote recognition is a major problem faced by visually Challenged people. So we propose a system to help the visually Challenged people to identify the different types of Indian currencies through deep learning technique. In our proposed project, bank notes with different positions are directly fed into VGG 16, a pretrained model of convolution neural network which extracts deep features. From our work the visually impaired people will be able to recognize different types if Indian Currencies. 07 30 2020 969 972 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3955.079220 https://www.ijrte.org/portfolio-item/B3955079220/