-74813b3e17f460286df-58be 20220405033923705 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 Research Scholar, NITTTR Chennai, University of Madras, India. Bruce Mathew* Dr. T. Gnana Sambanthan Retd Professor, NITTTR Chennai, India. Principles and practices of Outcome Based Education, a recent paradigm for problem-based subjects such as Computer Science and Engineering, emphasizes on achieving student learning outcomes. This will ascertain attainment of competencies for what a student would do an engineering task, rather than merely understanding the concepts, at the end of a learning event. Thus learning outcomes are, in fact, combination of technical understanding along with enabling appropriate skills that imbibe inter and intra personal behavior of the learners. To accomplish this, the instructional contents cannot be mere topics, as practiced in traditional-linear-syllabus oriented educational systems. Rather the contents need to be anatomized into fundamental engineering core and contemporary cores that are temporal in nature due to changing scenario of industries. Literature on treating such differentiated cores in Computer Science & Engineering is rare. This paper therefore attempts to determine the need for differentiating the domain cores in every concept. Experiments with selective contemporary core in Computer software product have been administered and validated through social surveys based on holistic rubrics. The samples are however limited to the State of Kerala in India. Conclusions drawn out of the experiments will be of immense use to curriculum designers and also to researchers of Computer Science and Engineering education. The study also includes comparison between teachers and students of Computer Science & Engineering on lifelong learning of contemporary industry related cores. The results presented in the paper form a part of a whole research work on Outcome Based Education in Computer Science and Education. 03 30 2020 3587 3590 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8884.038620 https://www.ijrte.org/portfolio-item/F8884038620/ Assistant Professor, Department of ECE, Sasi Institute of Technology & Engineering, Tadepalligudem, AP, India. P. Naga Malleswari* B. Renuka CH.H.S.Sriram, A.Jyothirmai, CH.Srinivas, ECE Department, Sasi Institute of Technology & Engineering, Tadepalligudem, AP, India. Now a days ECG signal plays an important role in the primary diagnosis and analysis of cardiac diseases and abnormalities present in the heart. Due to the presence of artifacts, the analysis of the ECG is difficult. Therefore, undesirable noise and signals should be removed or eliminated from the ECG in order to ensure proper analysis and diagnosis. Denoising is the process s used to separate original ECG signal from noise to obtain desired noise-free signal. In this paper to eliminate Additive White Gaussian Noise (AWGN) a hybrid approach EMD-DWT (Empirical mode Decomposition-Discrete Wavelet Transform) is used. To measure the performance RMSE, SNR, PSNR and CC values are used and all the simulations are carried out using MATLAB. 03 30 2020 4891 4894 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8885.038620 https://www.ijrte.org/portfolio-item/F8885038620/ Department of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India. Frishta Mirzad* Muhammad Rukunuddin Ghalib Department of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India. One of the biggest challenges cloud computing faces is forecasting correctly the resource use for future demands. Consumption of cloud resources is consistently changing, making it difficult for algorithms to forecast to make precise predictions. Using of the machine learning in cloud computing leads to many benefits. Such as chances of the enhancement in the quality of the service via forecasting future burden of works and responding automatically with dynamic scaling. This motivates the work presented in this paper to predict CPU use of host machines for a single time and multiple times. This paper uses three supervised machine-learning algorithms to classify and predict CPU utilization because of their capability to keep data and predict accurate time series issues. It is tried to forecast CPU usage with better accuracy while comparing to traditional methods. 03 30 2020 3591 3596 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8886.038620 https://www.ijrte.org/portfolio-item/F8886038620/ Professor, Department of Computer Science, School of Engineering andTechnology, Christ (Deemed to be University), Bangalore, India. Xavier Chelladurai* Suraj S Jain Department of Computer Science, School of Engineering andTechnology, Christ (Deemed to be University), Bangalore, India. Aryna Soni Burman Department of Computer Science, School of Engineering andTechnology, Christ (Deemed to be University), Bangalore, India. Sonal Kumar Department of Computer Science, School of Engineering andTechnology, Christ (Deemed to be University), Bangalore, India. Sindhu Srinivas Department of Computer Science, School of Engineering andTechnology, Christ (Deemed to be University), Bangalore, India. The operations management of air compressors gets transformed from the traditional reactive approach to the proactive data analytics based one. While large volume of data is analyzed, it is important to identify the parameters that cause performance deterioration. This helps in the preventive maintenance and increases the system availability to a great extent. In this research, we propose an approach to identify the causal parameters and test them in a practical customer environment. We have analyzed the data pertaining to Contact Cooled Rotary Screw Air Compressors from a customer's site. The system is controlled by XE-90M/145M controller. The controller continuously monitors 85 parameters and values collected every minute and uploaded to the cloud every 15 minutes. We analyzed the data for all the parameters, identified the upper control limit (UCL), lower control limit (LCL) and mean values. Using the historical data of drip of compressors, we have analyzed the data and classified the parameters into two categories, parameters which causes the performance deterioration and the ones that goes abnormal as a consequence of performance deterioration. Also, the study has discovered that the causal parameters show performance deterioration symptoms during a window of one to three hours before the actual drip happens. This has helped the customer to proactively do the corrective actions in the window and avoid drip of the compressor. 03 30 2020 3597 3602 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8893.038620 https://www.ijrte.org/portfolio-item/F8893038620/ Assistant Professor, Department of Computer Science and Engineering in Sri Krishna college of Technology, Coimbatore, Tamil Nadu, India. T. Suganya., M. E*. Ashwin Kumar N. S. Department of Computer science and Engineering at Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India. Kavijha R. Department of Computer science and Engineering at Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India. In an IT industry, technical support is a huge sector which requires a lot of manpower and other resources. Although huge organizations have a dedicated group of people working on it, small companies could not afford to have a separate department for managing customer queries. Automation in industry is associated with faster production and cheaper labor costs. By leveraging today's technologies such as Machine learning and Natural Language Processing, the process of handling user’s queries such as complaints about a certain product, feedback, customer experience, and clarifications could be automated using intelligent agents (chatbots) that are able to understand the user's query and assist them accordingly. This process of automating user query handling using chatbots has been the main interest of multiple organizations and would result in saving a lot of resources as well as improve overall customer experience.This paper is a comprehensive exploration of how chatbots have evolved over time and what methodologies are being used to implement these chatbots across different organizations. 03 30 2020 3603 3607 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8895.038620 https://www.ijrte.org/portfolio-item/F8895038620/ Assistant professor at Computer Science & Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India. S. Sathya Bama* A. Maheshwaran Department of Computer Science & Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India. S. Kishore Kumar Department of Computer Science & Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India. K. Raghul Kumar Department of Computer Science & Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India. M. Yogeshwaran Department of Computer Science & Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India. Understanding the history of clients will act as a valuable screening method for banks by providing information that can categorize clients as defaulters on a loan. Customer credit rating is a grade process where the consumer is categorized by the grade. Credit scoring model used to ascertain credit risk from new and existing customer. Credit rating is an assessment used to measure the creditworthiness of the customer. For the huge customers related dataset we can use various classification techniques used in the field of data mining. The main idea is by analyzing the customer data and by combining machine-learning algorithm to identify the default credit card user. Default is a keyword, used for predicting the customer who cant repay the amount on time. Predicting future credit default accounts in advance is highly tedious task. Modern statistical techniques are usually unable to manage huge data. The proposed work focus mainly on ensemble learning and other artificial intelligence technique. 03 30 2020 4990 4994 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8897.038620 https://www.ijrte.org/portfolio-item/F8897038620/ The British University, Egypt/Civil Engineering Department, Cairo, Egypt. Amr Ibrahim* Shady Salem The British University, Egypt/Civil Engineering Department, Cairo, Egypt. Ayman Khalil Structural Engineering Department, Ain Shams University, Cairo, Egypt. Mahmoud El-Kateb Structural Engineering Department, Ain Shams University, Cairo, Egypt. It is common practice to retrofit continuous reinforced concrete (RC) beams by fiber reinforced polymer (FRP) or steel plates. This can cause a significant amount of moment redistribution (MR) which results in an efficient and economic design when taken into consideration. There is lack in research regarding MR in continuous RC beams when strengthening plates are applied only at the top side at the hogging regions. The main purpose of this paper is to assess MR in continuous RC beams top strengthened with steel and/or carbon fiber reinforced polymer (CFRP) plates. In this respect, a nonlinear finite element model was developed using ABAQUS 6.14 and validated using experimental research program. The model was found capable of stimulating the behavior of such beams and hence assessing the percentage of MR which can be achieved using steel and CFRP strengthening. A parametric study is conducted to investigate the effect of various parameters, different from those investigated in the experimental program, on the MR in continuous RC beams. Parameters related to the concrete compressive strength, reinforcement ratio, beam thickness and thickness of strengthening plates were considered in this study. The results showed that significant amounts of MR can be achieved using either steel or CFRP plates and that MR is enhanced with the change in concrete compressive strength. Moreover, it was found out that the change in steel bars reinforcement ratio or in thickness of the strengthening plates has different effect on the beams strengthened with steel plates than those strengthened with CFRP plates. 03 30 2020 3472 3480 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8898.038620 https://www.ijrte.org/portfolio-item/F8898038620/ Department of Computer Science, Gurukula Kangri Vishwavidyalaya, Haridwar, Uttarakhand, India Vibha Oberoi Praveena Chaturvedi Department of Computer Science, Gurukula Kangri Vishwavidyalaya, Haridwar, Uttarakhand, India Vehicular Ad-hoc network (VANETs) is a type of ad hoc network which has faced many challenges for its implementation such as Technical issues which include are Large Size area, Routing, Security, Congestion, High Mobility, Limited road topology, Intermitted connectivity, Continuous power transmission for significant computing communication & sensing of the network & On road issues include narrow road, unstructured road, all roads are not allowed for all vehicles, busy road, no defined speed on road, no road maintenance, high frequency of accidents, poor sign board, no road side amenities, multiple numbers of toll booths etc. In order to enhance the performance of the desired real time network link between the nodes must be stable and reliable so that information can be transmitted reliably to the desired destination. This paper has experimentally studied the optimal path for different routing protocols in VANETs. This paper clearly concludes which routing protocol is better under different parameters such as number of hops, average hop count, total packet send and received for the realistic environment. 03 30 2020 4274 4278 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8899.038620 https://www.ijrte.org/portfolio-item/F8899038620/ Assistant Professor, Senior Grade, Mepco Schlenk Engineering College, Sivakasi. K. Gopalakrishnan* S. Afrin Fathima Department of Electronics and Communication Engineering in Mepco Schlenk Engineering College, Sivakasi. K. S. Matheshwari Assistant Professor, Senior Grade, Mepco Schlenk Engineering College, Sivakasi. The prime motive of the automobile industry is to improve safety in driving machines and avoid accidents. Traffic rules and regulations drafted by the law aren’t followed by many citizens. This is another reason for an accident. Accidents sometimes are unintentional. Some serious acts like drunk and drive, ignoring the signboards, and over speeding might result in severe causalities. To prevent situations like these we seek the Advanced Driver Assistance System (ADAS). ADAS has the potential to increase safety and provide comfort driving. Driving situations are electronically controlled and decisions are simplified for the driver. Old people may also receive plenty of benefits from this technology. ADAS is designed with a human-machine interface which tends to improve road safety marginally. Accidents caused by human error can also be minimized. ADAS helps the driver to automate, adapt and enhance the vehicle system for safe driving. Passive safety technologies like wearing seatbelts and airbags cannot prevent road fatalities. Modern technology like ADAS is different from traditional and passive technology and minimizes the fatalities consistently. ADAS also alert the driver of potential problems and helps in maintaining the stability of the vehicle under critical circumstances. Safety features are implemented to take control of the vehicle during collisions. ADAS relies on inputs from multiple sources like the brake assistant, pressure control system, lane departure warning system, road sign identification, etc. Additional features can also be customized based on the needs of the driver. In this paper methods to prevent over speeding, vehicle collisions, and driver alertness systems are discussed. RFID readers are used for sensing the speed limit in the signboards. The speed of the vehicle is managed based on the reading obtained from the tags. Sensors like ultrasonic, alcohol detector, gas sensor, temperature sensor are used to measure other parameters to enhance the safety measure while driving. 03 30 2020 3471 3487 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8900.038620 https://www.ijrte.org/portfolio-item/F8900038620/ Southern Luzon State University, Lucban, Quezon, Philippines Renato R. Maaliw III, DIT Most virtual learning environment fails to recognize that students have different needs when it comes to learning. With the evolving characteristics and tendencies of students, these learning environments must provide adaptation and personalization features for adaptive learning materials, course content and navigational designs to support student’s learning styles. Based from the data mining results of learner behavioral features of five hundred seven (507) tertiary students, an accurate model for classification of student’s learning styles were derived using J48 decision tree algorithm. The model was implemented in a prototype using a framework and a proposed system architectural design of an adaptive virtual learning environment. The study resulted in the development of an adaptive virtual learning environment prototype where learner’s preferences are dynamically diagnosed to intelligently personalize the course content design and user interfaces for them. 03 30 2020 3398 3406 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8901.038620 https://www.ijrte.org/portfolio-item/F8901038620/ Research Scholar, Department of Mechanical Engineering, Deenbandhu Chhotu Ram University of Science and Technology Murthal, ( Sonipat), Haryana, India Ajit Singh O M.S. Narwal Professor, Department of Mechanical Engineering , Deenbandhu Chhotu Ram University of Science and Technology, Murthal (Sonipat), Haryana, India Due to various government regulations and many other environmental related problems industries have to focus on these issues if they want to make business in the competitive market. Implementation and certification of Environmental Management System (EMS) is very important for industries as it will help to remove many environmental related issues and for sustainable development. Environmental related issues play different role in developed and developing countries. Developed countries have set up their own environmental standards and regulations which should be fulfilled by industries of other countries to have business with them. Regulatory pressure play important role to save environment but other factors like customer awareness, competitor’s pressure, societal pressure etc. are also important. Environmental issues related to automotive sectors need appropriate investigations in developing countries. Various drivers which create pressure on companies to adopt EMS practices are identified by extensive literature review which is the main objective of this paper. It includes providing a background on related concepts, literature review on various environment related issues and the concluding remarks for this review to save environment to some extent. 03 30 2020 4559 4565 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8907.038620 https://www.ijrte.org/portfolio-item/F8907038620/ Département of Electrical Engineering, Ecole Normale Supérieure de l’Enseignement Technique, Rabat, Morocco. Safae EL Abkari* Abdelilah Jilbab Département of Electrical Engineering, Ecole Normale Supérieure de l’Enseignement Technique, Rabat, Morocco. Jamal EL Mhamdi Département of Electrical Engineering, Ecole Normale Supérieure de l’Enseignement Technique, Rabat, Morocco. In recent years localization of nodes in wireless sensor networks (WSNs) has become one the main features of applications. In fact, this issue has been widely explored by the scientific community that proposed many approaches in order to localize network nodes. However, artificial neural network (ANN) can be used as an operating method. Therefore, we aim in this paper to select the best suited structure of ANN to localize in WSN using a meta-heuristic technique. To optimize this procedure, we use the Simulated Annealing (SA) algorithm. We constituted a network of ESP8266 modules to create our WSN topology as well as the training and the testing data to evaluate the performances. 03 30 2020 3488 3491 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8911.038620 https://www.ijrte.org/portfolio-item/F8911038620/ Department of Electrical Engineering, Ecole Normale Supérieure de l’Enseignement Technique, Rabat, Morocco. Safae El Abkari* Abdelilah Jilbab Department of Electrical Engineering, Ecole Normale Supérieure de l’Enseignement Technique, Rabat, Morocco. Jamal El Mhamdi Department of Electrical Engineering, Ecole Normale Supérieure de l’Enseignement Technique, Rabat, Morocco. How to ensure an efficient medical personnel and equipment management within a hospital and help patients specially in emergency medical conditions. This paper presents a Wi-Fi based indoor positioning system for hospitals. It firstly presents the proposed indoor positioning procedure, analyses the advantages of Wi-Fi compared to the common positioning technologies; then designs the server-based indoor positioning system for hospitals. Finally, fingerprinting algorithm is used to position in real time. Shown as result of the conceived system tests, indoor positioning within hospitals can be realized. 03 30 2020 3608 3612 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8912.038620 https://www.ijrte.org/portfolio-item/F8912038620/ Department of Computer Science and Engineering student at SRM Institute of Science and Technology, Tamil Nadu, India. Yash Prakash* Bhavesh Phumbhra Department of Computer Science and Engineering student at SRM Institute of Science and Technology, Tamil Nadu, India. Mobile Photography has been brought to a significantly new level in the last several years. The quality of images taken by the compact lenses of a smartphone have now appreciably increased. Now, even some of the low- end phones of the market spectrum are able to take exceedingly good photos in suitable availability of lighting, due to the advancement in numerous software methods for processing the images post capture. However, despite these tools, these cam- eras still fall behind the aesthetic capabilities of their DSLR counterparts. In the quest to achieve high quality images through a smartphone camera, various image semantics are inadvertently ignored leading to a less artistic image quality than a pro- fessional camera. Although numerous techniques for manual as well as computerized image en- hancement tasks do exist, they are generally only focused on brightness or contrast and other such global parameters of the image and does not go on to improve the content or texture of the image and neither do they take the various semantics of the image into account. Moreover, they are usually based on a predetermined set of rules that never considers the actual device specifics that is capturing the image — the smartphone camera. For our enhancement, we have endeavored to use a unique deep learning technique to transform lower quality images from a smartphone camera into DSLR-quality images. To enhance the image sharpness, we have used an error function that combines the three losses - the content, texture and color loss from the given image. By training on the large-scale DSLR Photo Enhancement Dataset, we have optimized the loss function using Generative Adversarial Networks. The end results produced after testing on a number of smartphone images yield enhanced quality images comparable to the DSLR images with an average SSIM score of approximately 0.95. 03 30 2020 3492 3495 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8925.038620 https://www.ijrte.org/portfolio-item/F8925038620/ Assistant Professor, Sri Krishna College of Technology, Department of Computer Science and Engineering. Sruthi. M. S Rahul R UG student, Sri Krishna College of Technology, Department of Computer Science and Engineering Rishikesh G UG student, Sri Krishna College of Technology, Department of Computer Science and Engineering This paper comes up with the applications of Machine learning and deep learning algorithms for police work the 'fake news', that is, dishonorable news stories that come from the unauthorized article writers. This approach was enforced as software and tested against an information set. Aim is to separate the faux news, among the news spread in the articles. It’s required to create a model which is able to differentiate between “Real” news and “Fake” news. The model was created exploitation numerous deep and machine learning strategies. LSTM technique outperforms different classifiers and achieves the accuracy of 94%. 03 30 2020 3896 3899 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8930.038620 https://www.ijrte.org/portfolio-item/F8930038620/ Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India. P. Karthikeyan* C. Ashwin Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India. R. Sai Vishnu Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India. N. Ravi teja Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India. In today’s world we tend to face with many several different types of emergencies within the indoor atmosphere. Response to such emergencies is important so as to shield resources together with human life and additionally we will save property from harm. During these Paper, we tend to gift wireless sensor network for Temperature observation. Which might report the emergency to the users in numerous forms, like as pop-ups on a visual display unit, SMS on their cell phones and then on. Because of this flexibility of coverage low value wireless sensor network ready for emergency response system of future. During this paper we tend to develop three wireless sensor nodes and that we need to place in numerous positions within the building and we need to inform to the master node or observation node regarding the temperature on the market at every sensor node. And that we additionally planning to specialize in wireless temperature observation and controlling the vaccine temperature. 03 30 2020 3963 3968 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8932.038620 https://www.ijrte.org/portfolio-item/F8932038620/ Mining Engineering, Aditya Engineering College, Surampaelm, Kakinda, Andhra Pradesh, India. Abhishek Kumar Tripathi* Gadhi Durga Nookaraju Mining Engineering, Aditya Engineering College, Surampaelm, Kakinda, Andhra Pradesh, India. K.S. Siva Subramanian Mining Engineering, AMET University, Chennai, India. Mining activity plays a major role for economic development of any nation. The drilling and blasting are the two key operations in the mining industry. The execution of these operations generates some disturbances to the environment, like noise and vibration. Blasting is the process of reducing large rock mass into the smaller fragments for our convinces of further processing. In this study the blast induced vibrations are monitored in the form of peak particle velocity (PPV) for the different cases of varying hole spacing. In this study, the PPV was measured for the three different directions, namely, transitional, vertical and longitudinal and it was observed that the PPV for in transitional direction is decreasing with the increment in the hole spacing between two consecutive rows. Further, it was observed that peak vector sum (PVS) having an inverse relation with the hole spacing. 03 30 2020 3171 3175 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8933.038620 https://www.ijrte.org/portfolio-item/F8933038620/ Assistant Professor, Department of CSE, Sri Krishna College of Technology, Coimbatore, Tamilnadu, India. Ms. Sunitha Nandhini A*. Suhashini M. S. Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, Tamilnadu, India. Yasvanthini B. Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, Tamilnadu, India. Sharmila Devi M. Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, Tamilnadu, India. Biometric Authentication is a security process that replays on the unique biological characteristics of an individual. Biometric Authentication system compare a biometric data capture to stored, confirmed authentic data in a database. It is simply the process of verifying the identity using the measurements or other unique characteristics of the body, then logging us in a service, device and so on. It is an effective way to prove identity because it can’t be replicated. Multi focus Image fusion is a process of fusing two or more images to obtain a new one. Used to reduce the problems like blocking, ringing artifacts occurs because of DCT. The low frequency sub-band coefficients are fused by selecting coefficient having maximum spatial frequency. The goal is classifying the images to classes of authorized and unauthorized using multi class SVM. The fingerprint image and iris image are fused together using SWT, the features are extracted from the fused image and labelled using GLCM algorithm. The testing image is then compared with trained samples and classified as authorized or unauthorized by using FFNN. 03 30 2020 3613 3617 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8936.038620 https://www.ijrte.org/portfolio-item/F8936038620/ Assistant Professor, Department School of Computer Sci-ence and IT, Jain (Deemed-to-be-University), Bangalore, Karnataka, India, Mahesh V* Near Field Communication (NFC) has remained as attractive from many years for customers as trendy for portable devices. Its utilization is growing day by way of day by fast pace as expand in the accessibility of the NFC enabled devices in the marketplace. It is developed for the integration with handy mo-biles, which could communicate with each other mobiles or read information on tags and cards. NFC device can also be used in card emulation mode, to provide flexibility with contactless smart card devices. This is very affective in allowing NFC enabled smart-phones to exchange typical contactless plastic playing cards used in public transport, get entry to control, ATMs and different comparable applications. The most pertinent concern would be that how a good deal inclined the new technological know-how is and it is evaluated to many susceptible types of out-breaks. This research provides solution to this hassle using blockchain technology. 03 30 2020 4415 4418 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8938.038620 https://www.ijrte.org/portfolio-item/F8938038620/ Department of Management studies, GITAM University, Hyderabad, India, Dr. P. Pinakapani* Ajatashatru Samal Department of Management studies, Research Scholar, VTU, Belagavi This study attempts to evaluate the determinants of the combination of tested models of brand equity, service value chain and customer relationship management particularly in selected banking services for enhancing the satisfaction of the customer. The conceptual framework of these individual tested models is developed to offer customer satisfaction and delightnes. The applied structure of these tested models is based upon the customer-based brand value, also known as brand resonance model which contains five determinants such as brand images, brand salience, brand performance, brand judgment and brand services, culture & leadership, hassle free documentation & internet / e-banking services. The customer relationship management models contain identification of perspective & potential customer acquisitions, Product/service value proposition, Product/service portfolio analysis & mutually beneficial CRM. The Correlations were conducted and strong positive correlation between brand equity & customer relation management is observed. It can be seen that CRM model has highly influenced the customer satisfaction in banking sector. The multiple regression results indicate that the brand equity model, CRM and Value Chain model do have a significant influence in the customer satisfaction. 03 30 2020 4995 4997 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8939.038620 https://www.ijrte.org/portfolio-item/F8939038620/ Department of IT, SRMIST, Chennai Tushar Suri* Shailly Singh Department of IT, SRMIST, Chennai Tejkaran Singh Department of IT, SRMIST, Chennai Arul Kumar Rajappan Department of IT, SRMIST, Chennai Dr. S. Metilda Florence Assistant Professor (Senior Grade), Department of IT, SRMIST, Chennai Banking industry is one of those industries where data is generated every day in large amounts. This data can be used for extracting useful information. Hence it is important to store, process, manage and analyze this data. It helps in making business lucrative. This data helps in making prediction which helps in solving problems that are faced by banks these days. People are constantly working on various aspects of Banking System like fraud detection, Risk Analysis etc. Various Machine Learning algorithms like CNN, ANN etc. have been used in order to study the patterns from such datasets. Here, we are focusing on risk analysis, customer retention and customer segmentation. In this paper, we have implemented classification algorithm, namely Decision Tree, for different aspects. Training of model is done on the given data and testing is done on real time data provided by the user. This study might help various banking systems to gain knowledge about their investment scheme for a particular customer. Thus, the banking companies will have a greater control on their customer and can develop policies that will benefit both the parties. 03 30 2020 4279 4283 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8947.038620 https://www.ijrte.org/portfolio-item/F8947038620/ Department of Electronics & Communication,Graphic Era deemed to be University,Dehardun (U.K) ,India Anzar Ahmad* Shashi Shekhar* Department of Electronics & Communication Engineering, Graphic Era deemed to be University, Dehardun (U.K) ,India Abhijeet Roy* Department of Mechanical Engineering,Graphic Era deemed to be University,Dehardun (U.K) ,India Cloud computing is emerging as the new dimension for computer networks and for the world as a whole. It is touching every aspect of our life. It is changing the way we live. Cloud based water storage quality checking structure is an approach by which we can perceive quality of water supply by using a couple of sensors like Ph sensor, Turbidity Sensor, Oxygen level sensor, Temperature Sensor, Salinity Sensor and using WIFI Module. Using a PAN or WAN sensor system we can get collected message on email and received content can be identified ,analyzed for easy reference and after analysis they are sent to the database of the cloud with the goal that the expert and user mutually can be easily able to know the quality of reserved water. 03 30 2020 4108 4113 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8948.038620 https://www.ijrte.org/portfolio-item/F8948038620/ Research Scholar, Department of Computer Science, Government Arts College (Autonomous), Coimbatore, Tamilnadu, India Sukumar P* Dr. L. Robert Associate Professor, Department of Computer Science, Government Arts College (Autonomous), Coimbatore, Tamilnadu, India The word 'crime' is not a word; there is a lot of pain and loss behind it. The word 'crime' is the most horrible word that scares human society. Even as this article is being read, somewhere in a corner of the world, a man is currently suffering as a result of a crime. Crime has changed its shape over time according to the dimension of men. The system of detection of crimes and punishment of criminals has reached considerable development. Efforts have been made to prevent crimes in the past, but no amicable solution has been reached. To date, there have been lots of strategies to prevent this. The intention of this research article is to analyze the research articles that have been used in various criminal cases/activities that have taken place at different locations, and to identify the criteria, concepts, tools, conclusions, credentials and shortcomings found in those articles. 03 30 2020 3940 3948 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8951.038620 https://www.ijrte.org/portfolio-item/F8951038620/ Postgraduate Doctoral Degree, Semarang State University, Indonesia. Indar Sabri* Muhammad Jazuli Professor of the Language and Art Faculty, Semarang State University, Indonesia Totok Sumaryanto F, Professor and Chair of the Art Education Doctoral Study Program Semarang State University, Indonesia Autar Abdillah Chair of the Apron Journal at Surabaya State University, Indonesia. The phenomenon of Jemek Supardi's existence as an Indonesian pantomime artist becomes interesting to examine comprehensively about Self-Concept Artists Jemek Supardi in Constructing Indonesian Pantomime Techniques. The method applied in this research is qualitative. The umbrella used in this research is Phenomenology which is assisted by various scientific disciplines, such as psychology, symbolic intraction and existence. The data collection technique was carried out by interview, observation and document study. The purpose of this article discusses the Self-Concept Artists Jemek Supardi in Constructing Indonesian Pantomime Techniques, so that it can be used as a roll model of pantomim based on psychological development, aesthetic considerations and cultural characteristics of the community as inspiration in the work of pantomime. The results of the research get the concept of pantomime Jemek Supardi as Roll Model of Indonesian Pantomime Technique and works of Jemek Supardi pantomime since 1979-2019 as the existence of Indonesian pantomime works. 03 30 2020 3496 3503 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8952.038620 https://www.ijrte.org/portfolio-item/F8952038620/ Assistant Professor, CSE Department, Easwari Engineering College, Chennai, Tamil Nadu. Kalpana Devi S* Bitra Sainadh CSE Department, Easwari Engineering College, Chennai, Tamil Nadu. Hariharan K CSE Department, Easwari Engineering College, Chennai, Tamil Nadu. Hemanth T CSE Department, Easwari Engineering College, Chennai, Tamil Nadu. Ensuring security in every aspect of transactions the primary task of today’s world. Blockchain Technology is used to ensure that digital assets cannot be modified and are transparent by using decentralized hashing techniques. In today’s world, Higher Educational Institutions are competing with others by means of accreditation. As a part of this process, the best outgoing student is awarded based on his/her performance throughout the four years attributed to academics, co-curricular and extra-curricular activities. The proposed system is a multifaceted application which works on the basis of providing credits. This system is implemented using Blockchain so that a ledger is distributed among all the users connected in the network, which ensures data manipulation is impossible. Based on the number of credits a student has gained, they will be provided with certain benefits. A staff is provided with administrative access to the application as they are entitled to generate a unique ID for every student. Staff also verifies the authenticity of the certificates that are being uploaded by the students which are hashed using MD5 and are appended to the existing chain. Each block in the chain is hashed using SHA-256 algorithm. A leaderboard can be viewed by the students along with the provision to view their individual scores. The student who tops the leaderboard at the end of the final year will be the best outgoing student of that batch. 03 30 2020 4998 5005 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8955.038620 https://www.ijrte.org/portfolio-item/F8955038620/ Anurag Group of Institutions, Hyderabad, India Harish Mugutkar* Kunchum Sai Sri Harsha Anurag Group of Institutions, Hyderabad, India. Annavajjala Sai Bhargav Anurag Group of Institutions, Hyderabad, India. Pechety Bhanu Rajeswari Devi Anurag Group of Institutions, Hyderabad, India. Sandru Hemanth Anurag Group of Institutions, Hyderabad, India. Convergent-Divergent nozzle, CD nozzle is a tube with an asymmetric hourglass shape with converged diameter at the center, assembling the nozzle precisely and perfectly balanced. Convergent-Divergent nozzle rushes pressurized hot gas flowing at supersonic speed at thrust direction by converting heat energy into kinetic energy. With this advantage the Convergent-Divergent nozzle is used in many types of Steam Turbines, Rocket Engine nozzles and Supersonic Jet Engines. The present paper describes the design of CD nozzle in solid works and study of heat transfer coefficient in CD nozzle using D.R. Bartz equation. 03 30 2020 4942 4946 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8960.038620 https://www.ijrte.org/portfolio-item/F8960038620/ Department of Mathematics, Women's Christian College, Chennai 600006, India. Arul Jeya Shalini* J. Nancy Delaila* Department of Mathematics, Loyola College, University of Madras, Chennai 600034, India. J. Maria Julie Department of Mathematics, Government Arts College, Paramakudi, 623701, India. Graph embedding in parallel processing techniques has acquired considerable attention and hence raised as an efficient approach for reducing overhead data into low-dimensional space. Optimal layout and congestion are powerful parameters to examine the capability of embedding. In this study, Modified Congestion and  -Partition lemmas are utilized to obtain the optimal layout of Turán graph into path and windmill graphs. 03 30 2020 3618 3621 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8964.038620 https://www.ijrte.org/portfolio-item/F8964038620/ Master degree, Engineering in Information Technology. Shrikant Nagure* Aarti Pratap Pursuing BE(COMPUTER) in RMD Sinhgad School Of Engineering, affiliated to Savitribai phule university, pune, Maharashtra Aishwarya Bhanage Pursuing BE(COMPUTER) in RMD Sinhgad School Of Engineering, affiliated to Savitribai phule university, pune, Maharashtra. Neha Shinde Pursuing BE(COMPUTER) in RMD Sinhgad School Of Engineering, affiliated to Savitribai phule university, pune, Maharashtra. Saurabh Deshpande Pursuing BE(COMPUTER) in RMD Sinhgad School Of Engineering, affiliated to Savitribai phule university, pune, Maharashtra. Bitcoin has emerged as necessary cash software systems.For making the use of bitcoin we are using blockchain for various security reasons and transactions. Mining adds records of past transactions to the distributed ledger referred to as Blockchain, permitting users to achieve secure, strong agreement for each dealing. Mining in addition introduces wealth among the kinds of the latest units of currency. They consider miners to validate transactions. Cryptocurrencies need robust, secure mining algorithms. During this paper, we tend to survey & develop the particular Bitcoin referral system, platform in distinction employed by major Cryptocurrencies platform. We tend to assess the techniques, quick withdrawals,users/admin dashboard, referral system, combination & different several terms. 03 30 2020 5006 5009 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8966.038620 https://www.ijrte.org/portfolio-item/F8966038620/ Department of IT, Bannari Amman Institute of Technology, Sathyamangalam, Tamilnadu India. Sathesh Kumar K.* Arun Kumar R. Department of IT, Bannari Amman Institute of Technology, Sathyamangalam, Tamilnadu India. Saranya S. Department of IT, M.A.M. College of Engineering and Technology,Trichy, Tamilnadu India. Deepika R. Department of IT, Bannari Amman Institute of Technology, Sathyamangalam, Tamilnadu India. Divya V. Department of IT, Bannari Amman Institute of Technology, Sathyamangalam , Tamilnadu India. Brain tumor classification and segmentation in the medical field is still a challenging task. Because we cannot identify through our naked eyes. Even Though several algorithms and methods developed to segment the brain tumor still accuracy is needed .By the single level classification we may not obtain the accurate result. So we propose the CNN (Convolution Neural Network) classifier which contains several layers. The convolution neural network uses kernals.The classification here is used to find the brain tumors such as glioma,meningioma and pituitary .The classified image is segmented using the watershed algorithm which segments based on the intensity.The segmentation employs here is to find the size of the tumor. 03 30 2020 3633 3637 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8967.038620 https://www.ijrte.org/portfolio-item/F8967038620/ Project Manager, Haryana State Electronics Development Corporation (HARTRON), Panchkula-134109, Haryana, India Rajesh* Radio over Fiber is a powerful technology to cater the today’s demands of the customer regarding coverage and capacity. The behaviour and performance of the RoF link is analyzed with MZM external modulator by transmitting ASK data in downlink with the simulation set up on OptiSystem. The impact of chromatic dispersion and laser phase noise due to RF oscillator on Carrier to Noise Ratio (CNR) in radio over fiber systems is studied. The CNR penalty of 3-4 dB is observed for the variation of 10 to 1000MHz Line width of the laser. 03 30 2020 3969 3972 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8968.038620 https://www.ijrte.org/portfolio-item/F8968038620/ Assistant Professor, Department of CSE, Coimbatore Institute of Engineering and Technology ,Coimbatore,Tamil Nadu, India. C.P. Saranya* Dr.D.Palanivel Rajan Professor, Department of CSE, C M R Engineering College, Hyderabad, Telangana, India. M. Mythili Assistant Professor, Department of Information Science and Engineering, Vemana Institute of Technology, Bengaluru, Karnataka, India. Dr.K. Pushpalatha Associate Professor, Department of IT, Coimbatore Institute of Engineering and Technology ,Coimbatore, Tamil Nadu, India V. Saranya. Assistant Professor, Department of CSE, Tamil Nadu College of Engineering, Coimbatore, Tamil Nadu, India When plants and crops are affected by pests it affects the agricultural production of the country. Agricultural productivity depends heavily on the economy. This is one of the reasons why plant disease detection plays a major role in agriculture. Usually farmers or experts observe the plants with naked eye for detection and identification of disease. But this method can be time processing, expensive and inaccurate. Detection of crop disease using a few instantaneous strategy is helpful as it decreases comprehensive surveillance job in huge crop farms and locates disease side effects quite soon, i.e. if they tend on leaves and stems. Enhanced Convolutional neural networks (ECNN) have demonstrated great performance in object recognition and image classification problems. Using a public dataset images of infected and healthy Tomato leaves collected under controlled conditions, we trained a deep convolutional neural network to identify diseases in tomato. As the result, few diseases that usually occur in tomato plants such as Late blight, Gray spot and bacterial canker are detected. 03 30 2020 3973 3976 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8970.038620 https://www.ijrte.org/portfolio-item/F8970038620/ is currently working as Assitant Professor in department of Mechanical Engineering at R C Patel Institute of Technology, Shirpur India Yogesh R Pathak* Kailas D Deore is currently working as Assitant Professor in department of Mechanical Engineering at R C Patel Institute of Technology, Shirpur India Rohan R Ozarkar is currently working as Assitant Professor in department of Mechanical Engineering at R C Patel Institute of Technology, Shirpur India A numerical analysis is carried out to understand the flow characteristics for different impeller configurations of a single stage centrifugal blower. The volute design is based on constant velocity method. Four different impeller configurations are selected for the analysis. Impeller blade geometry is created with point by point method. Numerical simulation is carried out by CFD software GAMBIT 2.4.6 and FLUENT 6.3.26. GAMBIT work includes geometry definition and grid generation of computational domain. This process includes selection of grid types, grid refinements and defining correct boundary conditions. Processing work is carried out in FLUENT. The viscous Navier-Stokes equations are solved with control volume approach and the k-ε turbulence model. In this three dimensional numerical analysis is carried out with steady flow approach. The rotor and stator interaction is solved by mixing plane approach. Results of simulation are presented in terms of flow parameters, at impeller outlet and various angular positions inside the volute. Also, the contours of flow properties are presented at the outlet plane of fluid domain. Results suggest that for the same configurations of centrifugal blower, as we change geometrical parameter of impeller the flow inside the blower get affected. 03 30 2020 3977 3980 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8973.038620 https://www.ijrte.org/portfolio-item/F8973038620/ Department of Mechanical Engineering, College of Engineering, Qassim University, Buraidah 51452, Saudi Arabia. S. Sivasankaran* Fahad Al-Mufadi Department of Mechanical Engineering, College of Engineering, Qassim University, Buraidah 51452, Saudi Arabia. Osama Mohammed Irfan Department of Mechanical Engineering, College of Engineering, Qassim University, Buraidah 51452, Saudi Arabia. The present paper investigates the synthesizing routes and best method to explain the hot deformation behavior of novel Al-x wt.% Zn alloys (x = 0, 10, 20, 30, 40 and 50 wt.%). Based on several synthesizing routes, it was studied that the liquid metallurgy route followed by squeeze casting and extrusion is the best manufacturing method of the novel Al-Zn castings. These novel Al-Zn casting alloys would give more benefits as it possesses lower value of melting temperature; which is best suited for die-casting parts. To explore the mechanical behavior of Al-Zn castings, hot deformation studies by developing the processing map is best method by which complete information related to these alloys bahaviour could be obtained. From the literature, it was found that the hot workability behavior can be examined by developing the processing map using dynamic material modelling (DMM) and constitutive models (sine-hyperbolic Arrhenius kinetic rate equation). The step by step procedure to be followed for hot deformation analysis was explained in this work. From this analysis, the peak flow stress, stability region, instability region, power dissipation efficiency, activation energy and dynamic recrystallization region can be explored. In addition, as a pilot study related to these Al-Zn alloy, several castings, namely, pure Aluminium(Al), Al-10Zn, Al-20Zn, Al-30Zn, Al-40Zn, and Al-50Zn were successfully casted using electric furnace and then all these castings were squeezed followed by extruded to have improved densification. The hardness of casted samples was revealed that Al-40Zn casting exhibited a vicker’s hardness strength (VHS) of 1326 MPa which was 4 times higher than pure Al. 03 30 2020 3981 3986 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8975.038620 https://www.ijrte.org/portfolio-item/F8975038620/ PG student, Department of Mechanical Engineering, Jalpaiguri Government Engineering College, Jalpaiguri, India. Rajesh Layek* Dr. S. Mukherjee Professor, Department of Mechanical Engineering Jalpaiguri Government Engineering College, Jalpaiguri, India. In this work the simulation results of a 2 degree of freedom plant driven by model are shown. Here Model following control (MFC) system is applied to operate the plant in a better way. Initially a model is constructed, whose states are ideal with respect to the control parameters. The plant and the model essentially have same physical parameters. An input is given to the model and the plant is run by the errors, computed by comparing the states of the plant and model. In this way the plant is forced to follow the ideal states of the model. The results show that the plant is able to follow the model very accurately. The robust control observed in the scheme can be easily implemented for better performance of industrial robots. 03 30 2020 3504 3507 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8981.038620 https://www.ijrte.org/portfolio-item/F8981038620/ Aeronautical Departement, Excel Engineering College, Komarapalayam, India. Naga Surya K* Karthikeyan N Aeronautical Departement, Excel Engineering College, Komarapalayam, India. Joshva M Aeronautical Departement, Excel Engineering College, Komarapalayam, India. Mortin Robert P Aeronautical Departement, Excel Engineering College, Komarapalayam, India. Karthik S Aeronautical Departement, Excel Engineering College, Komarapalayam, India. The project aims to analyze aerodynamic coefficients of adaptable span wing, which increases the lift of the aircraft at various flight conditions by increasing the span of the wing and also decreases its span to adapt Group V airport gate, which is restricted to a maximum 65 m wingspan of aircraft. Present days there is no adaptable wing that changes its shape or its span. All the commercial airplane wings are only fixed wings. To increase more lift at the time of takeoff or landing, the pilot has to stay with the ailerons and flaps. But at the time of the cruise, flaps give more induced drag. Adaptable span wing paves a way to have a lift at any time with less induced drag. Airports are 6 types based on the maximum span of their gates. To increase the lift, it is easy to increase the span of a wing and to keep it fixed, but if the span is more than 65 m, it falls under the category of Group VI airports. These Group VI airports are less available, and Group V airports are mostly available worldwide. This project aims to increase the span beyond 65 m and also to accommodate in Group V airports. Methods of Telescopic spar expansion and foldable wingtip are used. For this work Boeing 777-300 ER Wing with its airfoil is taken as a reference. One side of the wing is taken for analysis, and the models have made in CATIA V5 of various length from its original half span 29.3m to 34.3m by increasing one by one metre. Also, with foldable wingtip span is increased at its unfolded state with 2m. Each and every model is analyzed with a variable angle of attack, and lift curves were obtained. These curves help us to determine the optimized span of the adaptable wing. 03 30 2020 5592 5597 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8982.038620 https://www.ijrte.org/portfolio-item/F8982038620/ Department of IT, Jain University, Bangalore, India. Suja P Mathews* Dr. Raju R Gondkar Department of PG Studies, CMR University, Bangalore, India. The Information Technology has evolved and we have reached at an era of Internet of Things (IoT). According to International Telecommunication Union’s Global Standards Initiative (GSI), it is the network of all kinds of ‘things’ embedded with electronics, sensors, actuators, software etc. Things connected in open Internet poses high security risks. Majority of these devices use Message Queuing Telemetry Transport (MQTT) protocol for exchanging information. Most of the devices with limited storage and computing power are connected using MQTT. Since the protocol doesn't provide any mechanism for encryption, the security aspect of the protocol is really weak. This paper describes the need for empowering security in MQTT. In this research work, we benchmark different cryptographic algorithms and propose the best possible algorithm to enable higher level of security in MQTT. This work further demonstrates how to use the proposed algorithm to enable lightweight key exchange mechanism among MQTT devices. 03 30 2020 3987 3991 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8987.038620 https://www.ijrte.org/portfolio-item/F8987038620/ Department Of Computer Engineering R.M.D. Sinhgad School Of Engineering,Warje,Pune Yash Munot* Mrunalinee Patole Department Of Computer Engineering R.M.D. Sinhgad School Of Engineering,Warje,Pune Chetan Jadhav Department Of Computer Engineering R.M.D. Sinhgad School Of Engineering,Warje,Pune Abhijeet Raut Department Of Computer Engineering R.M.D. Sinhgad School Of Engineering,Warje,Pune Namita Rode Department Of Computer Engineering R.M.D. Sinhgad School Of Engineering,Warje,Pune Object recognition the use deep neural networks has been most typically used in real applications. We propose a framework for identifying items in pics of very low decision through collaborative studying of two deep neural networks. It includes photo enhancement network object popularity networks. The picture correction community seeks to decorate images of much lower decision faster and more informative images with the usages of collaborative gaining knowledge of indicatores from object recognition networks. Object popularity networks actively participate in the mastering of photograph enhancement networks, with skilled weights for photographs of excessive resolution. It uses output from photograph enhancement networks as augmented studying recordes to reinforce the overall performance of its identity on a very low decision object. We esablished that the proposed method can improve photograph reconstruction and classification overall performance. 03 30 2020 3992 3995 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8991.038620 https://www.ijrte.org/portfolio-item/F8991038620/ CSE, V R Siddhartha Engineering College, Vijayawada, India. Mounika Chalapati A Raghuvira Pratap CSE, V R Siddhartha Engineering College, Vijayawada, India. Nowadays there is a significant study effort due to the popularity of CCTV to enhance analysis methods for surveillance videos and video-based images in conjunction with machine learning techniques for the purpose of independent assessment of such information sources. Although recognition of human intervention in computer vision is extremely attained subject, abnormal behavior detection is lately attracting more research attention. In this paper, we are interested in the studying the two main steps that compose abnormal human activity detection system which are the behavior representation and modelling. And we use different techniques, related to feature extraction and description for behavior representation as well as unsupervised classification methods for behavior modelling. In addition, available datasets and metrics for performance evaluation will be presented. Finally, this paper will be aimed to detect abnormal behaved object in crowd, such as fast motion in a crowd of walking people 03 30 2020 3949 3953 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8993.038620 https://www.ijrte.org/portfolio-item/F8993038620/ Assistant Professor, Department of Management Studies, Bharat Institute of Engineering and Technology, Mangalpally, Hyderabad. Telangana State, India. Dr. Kahmeera Shaik* Emotional Intelligence is a significant factor for occupational success as it supports employees in decision making, team work, communication, relationships and exhibits transformation in evaluating emotions and thoughts. Every profession is having its own importance, demands, challenges and consequences. Likewise nursing is a profession where most time has to be spent with patients in the hospital. As it is a patient centered profession, nurses require certain skills that bolster the professional abilities to lead effectively. The researcher desires to study the affinity of demographic factors and EI in managing occupational stress in healthcare sector among nurses. Survey method was conducted among nurses comparing selected public and private teaching hospitals of Guntur and Vijayawada Cities of Andhra Pradesh. The sample size of the study is 639 respondents. The statistical tools used were Independent Sample T-Test, One-way ANOVA and Multiple Regression Analysis Forward Stepwise. There is a statistically significant difference among the means of Family Members in the Nursing Profession, Marital Status, Type of Family, Age, Qualification, Experience and Income of public hospitals with EI and OS, where p<0.05 and there is no statistically significant difference among the means of private hospitals, where p>0.05. There is no statistically significant difference among the means of work shifts and EI and OS in both the hospitals. As one unit in age increases, the EI increase with 7.044 and OS decreases with -5.862 respectively. As one unit increase in experience and income, the EI and OS also increase with 3.109 and 3.364 respectively (statistically significant linear relationship, where p<0.05). It is suggested that the management should recruit candidates after conducting the EI test or give rigorous training for improvement of EI levels for the lower age respondents. The management should focus on reward monetary and nonmonetary benefits and peer to peer relations. The night shifts should split into two groups to minimize the stress. The demographic factors have moderating effect on EI and OS in public hospitals. There is an inverse relationship between age, EI and OS. EI training to nurses can decrease the OS and helps them to buffer, resile and agile for survival of the fittest. 03 30 2020 5010 5016 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8994.038620 https://www.ijrte.org/portfolio-item/F8994038620/ Assistant Professor, Department of Electrical and Electronics Engineering, Sri Krishna College of technology, Coimbatore, India. Swapna. P* Elzalet. J Assistant Professor, Department of Electrical and Electronics Engineering, Sri Krishna College of technology, Coimbatore, India. Raja Guru.S Department of Electrical and Electronics Engineering, Sri Krishna College of technology, Coimbatore, India. Savundarya. R Department of Electrical and Electronics Engineering, Sri Krishna College of technology, Coimbatore, India. Subamathi. S Department of Electrical and Electronics Engineering, Sri Krishna College of technology, Coimbatore, India. Vignesh Balaji.B Department of Electrical and Electronics Engineering, Sri Krishna College of technology, Coimbatore, India. Recent researches in energy has been made mainly with solar energy due to its easy availability and free of cost and easy extraction. Though there are several ways to extract energy, not all methods seems to be efficient. To obtain maximum efficiency and power the smartest algorithm has to be handled and should be effectively used with reduced losses. This paper is implemented using newfangled technique called “self-tuned perturb and observe algorithm (SPO)” that tracks the maximum power as quick as possible and is converted into required level of voltage with reduced ripples using SEPIC converter. This proposal improves the response and efficiency of the tracking with lost implementation cost, eliminating the limitations in the existing methods and also the limitations that cannot be solved using the other modified methods is also encountered and the system is altered. 03 30 2020 5704 5708 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8996.038620 https://www.ijrte.org/portfolio-item/F8996038620/ M.Phil. Research Scholar, Department of Economics, Dibrugarh University, Assam-786004, India. Parswa Jyoti Neog* Dr. Pranjal Protim Buragohain Associate Professor, Department of Economics, Dibrugarh University, Assam-786004, India. Livelihood diversification is a strategy to avoid the risk associated with shocks and to improve livelihood security. Different socio-economic and demographic factors influence the decision of livelihood diversification of households. An attempt has been made in this paper to identify the determinants of livelihood diversification of the rural people using primary data collected from 255 households of Tinsukia, one of the remote districts of India. This study, by employing the logistic regression model reveals that, at less than 10 percent probability level among 11 variables, six variables namely Age of the household Head (AGEH), Type of the Family (FAMILYT) Size of the Family (FAMILYS), Monthly Per Capita Income (MPCI), Access to Credit (CREDIT) and remittance (REMIT) are significant determinant of livelihood diversification. This study will help to formulate proper development policies on the part of various concerned authorities for supporting diversification in the rural areas. 03 30 2020 4927 4931 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9002.038620 https://www.ijrte.org/portfolio-item/F9002038620/ Assistant Professor, Computer Science And Engineering Department, in SRM Institute of Science And Technology, Ramapuram , Chennai India. Ms. C. Ashwini* Satyam Sharma Pre-Final Year Student of B.Tech ,Computer Science And Engineering in SRM Institute of Science And Technology , Ramapuram, Chennai India. Arpit Srivastava Pre-Final Year Student of B.Tech, Computer Science And Engineering in SRM Institute of Science And Technology, Ramapuram, Chennai India. Sakshi Sinha Pre-Final Year Student of B.Tech Computer Science And Engineering in SRM Institute of Science And Technology, Ramapuram , Chennai India. Internet of Things (IoT) builds up the possibility of remotely imparting and watching genuine items (things) through the Internet When it goes to our home, this idea can be suitably consolidated to make it more intelligent and mechanize. This IoT venture centers around building a keen remote home computerization framework that can be utilized by utilizing a similar arrangement of sensors. The influence acquired by preferring this framework over comparable sorts of existing frameworks is that we can control every single electronic gadget utilizing Arduino and Wi-Fi that can work utilizing a cell phone. This framework is intended to diminish human endeavors with the goal that you can work the gadget from any edge of your room. 03 30 2020 5017 5020 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9003.038620 https://www.ijrte.org/portfolio-item/F9003038620/ Dept of Computer Science, New Prince Shri Bhavani Arts & Science College, Chennai, India. D.M. Sheeba* S. Jayalakshmi Dept of Computer Applications, VISTAS, Chennai, India. Internet of Things (IoT) growing at a rate of exponential numbers in recent years has received extensive attention with BlockChain (BC) technology which provide trust to IoT with its immutable nature, decentralization in computing, resource constraints, security and privacy. The distributed ledger of transactions in BC is path leading technology for addressing Cyber Threats in the form of data theft; it provides secure application architecture which has proven track of record for securing data. IoT devices using BC enabled to communicate between objects, share data, decide based on business criteria and act as a medium to securely transmit information. This work provides lightweight BlockChain with two prominent consensus mechanism PoW – Proof of Work and PoS – Proof of Stake for smart IoT devices. Next, Smart Home Device (SMD) is ensures providing best-in-class Security and Privacy for smart home Appliances. Further provides future advances in the Approach. 03 30 2020 5021 5027 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9006.038620 https://www.ijrte.org/portfolio-item/F9006038620/ Research Scholar,Computer Department, C U Shah University, Surendranagar,Gujarat, India. Vijaykumar Gadhavi* Prof.(Dr.) Kalpesh H. Wandra Principal , G M B Polytechnic, Rajula, Gujarat,India. Dr. Dushyantsinh B. Rathod Associate Professor and HOD, Computer Engineering Department, Alpha College of Engineering and Technology Ahmedabd. Gujarat, India Cloud enrolling gives association of sharing information collecting most extreme and PC authority over the Internet and Intranet. Cloud advancement has another procedure for wide scale dissipated figuring with five star introduction. It is a total of wide get-together of topographically and continuously appropriated heterogeneous assets for illuminating broad scale information and strategy concentrated issues. The heterogeneous technique for mastermind selecting asset makes the advantage association an essentially problematic occupation. Asset association conditions a significant part of the time join asset presentation, asset watching, asset inventories, asset provisioning, charge detainment, plan of autonomic limits and association level association works out. The exibility, security and assurance of cloud organizations can be improved by grasping customer driven access control and character the officials plans. Late advances in cryptography and web progresses empower us to structure security game plans that give the purchasers more noteworthy detectable quality and control over their cloud-based resources and right now some security and insurance concerns and fears related with cloud perspective. By the day's end, these game plans make it feasible for the dares to get cloud perspective and re-proper hardware, establishment and programming while simultaneously keeping up order over their characters and data CloudSim is a .NET-based lattice enlisting structure that gives the Runtime gear and programming condition required to make computational framework. In the wake of setting up system condition, we have concentrated existing change in accordance with inside dissatisfaction in CloudSim in detail, and have chosen the standard clarifications behind disappointments in it. To manage a touch of the apparent needs we have proposed bolster boss idea. In case there should rise an occasion of disappointment of the focal regulator, bolster boss will expel its control and stays from the framework to bite the dust. Assets are quick and heterogeneous in nature. So the pile of each advantage fluctuates with change in course of action of matrix additionally the event of disappointment of focal points is altogether increasingly fundamental. Other than the slip-up of the advantages impacts the work execution mortally. This makes stack changing and acclimation to inside frustration dynamically fundamental if there should arise an occurrence of getting ready framework. This paper second issue presents an estimation which adjusts the heap among the preferences in addition amasses the resolute idea of the grid condition. Undertaking will be moved from vivaciously stacked focus point to deliberately stacked focus point. Weight changing is a structure to update assets, using parallelism, redesign throughput, and to slice reaction time through an authentic dispersal of the applications. The focal objective of weight changing is to give a passed on, immaterial effort, invent that alters the heap over the entirety of the processors. This assessment will help society with lessening the execution time of utilization after disillusionment of structure and move the load beginning with one system then onto the following structure in over-trouble structure. 03 30 2020 3176 3180 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9007.038620 https://www.ijrte.org/portfolio-item/F9007038620/ Research Scholar, Department Of Management Studies Acharya Nagarjuna UniversityGuntur- 522510 – Andhra Pradesh. B.Sarath Simha* E-Retailing is the process of selling goods and services through internet. In simple words Sale of retail goods and services online is called as E-Retailing or Internet retailing. It follows Business to Consumer (B2C) transaction model, where the business directly contacts the consumers without involvement of intermediaries. The modern world has become a global village. The Internet revolution is going on. Through Online every minute the consumers purchase products. Because of globalization, Industrial goods as well as consumer goods Increasing in the importance of brand name, product quality and service in a greater extent than price of the product. Finally, the consumers are confused which is the applicable factor for satisfaction in terms of product attributes, price and quality.to offer them This study aims at finding out what are the attributes the consumers wil purchase the purchase the products towards E- Retailing. 03 30 2020 3723 3726 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9008.038620 https://www.ijrte.org/portfolio-item/F9008038620/ Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. S. Muthamil Selvan* P. V. Sumanth Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. U. Surendra Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Chakradhar. V Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Detecting the object is a vision technique of a computer for detectng or locating long distance or short distance objects and images. Object detection algorithm mainly works on the machine learning and the artificial intelligence algorithms. Present trending algorithm in detecting the object is deep learning algorithm, By using the deep learning algorithm we can get the accurate results of the object which is detected. it is mainly or widely used in the system vision tasks like video object co-segmentations, tracking movement of the ball in the ground, image annotating etc. Each and every object has its own features ,for example if you select the ball , Actually all the ball are in the round shape but in every game different type of balls are used ,object detection camera will detect the ball it will check the ball specifications with its data if any data was matched with its data base the system will display all the specifications of ball. By using the deep learning algorithm we introduced one new technique to detect detect object accurately the algorithm is named as the YOLO V3 we can detect the very small objects and the fastly moving objects easily. This yolo v3 will convert the image into N number of layers and it will work on the each and every minute spot on the image. 03 30 2020 5247 5250 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9014.038620 https://www.ijrte.org/portfolio-item/F9014038620/ Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India. K. Prem kumar* R. Sagana Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India. E. Sharon Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India. S. Prianga Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India. M. Sushma Suvetha Mary Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India. Smart homes utilize advanced systems to bring comfort and convenience to our living experiences. Most of the current frameworks are now trying to move towards automation such as smart homes, smart warehouses. This paper focuses on monitoring the wiring system of modern infrastructure as it is very important while moving into advanced systems. In order to reduce the labour involved in replacement of wires from the main board when fault occurs due to overload, short-circuit, arcing, equipment failure. we have provided a model called SESI, Smart Electric Sensing in Infrastructure, which uses the transistors and the Arduino to find the faults in the electric system. Although, many measures have been taken in smart homes to conserve electricity, there is no means to monitor them. Monitoring them would help us to conserve it more efficiently and also reduces the risk of fire accident 03 30 2020 3900 3905 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9023.038620 https://www.ijrte.org/portfolio-item/F9023038620/ Department of Mathematics and Computing, College of Engineering and Technology, Bhubaneswar, Odisha, India. Dr P. K. Pattnaik* Stitapragyan Lenka Department of Computer Science and Application, Utkal University, Bhubaneswar, Odisha. Dr. Sipali Prdhan Faculty, Department of Computer Science, RBVRR WHyderbad, India. Dr.Sateesh Pradhan Department of Computer Science and Application, Utkal University, Bhubaneswar, Odisha. Dr.Sujogya Mishra Department of Mathematics and Computing, College of Engineering and Technology, Bhubaneswar, Odisha, India. The Internet of Things (IoT) has turned out as an emerging technology with an aim of simplifying and easing human life by automating most of the day to day activities with wide range of applications in different domains. QoS indicates how offered service qualities are? Computing, Communication and Things are the major components of IoT. It comprises of heterogeneous elements such as RFID, sensor, Wireless Sensor Network, mobile network, cloud services. For desirable service provisioning and popularizing IoT applications, QoS parameters for IoT are very essential. This papers aims at providing a review work done by different researchers about the QoS parameters for IoT applications, transmission network and perception. 03 30 2020 5028 5031 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9032.038620 https://www.ijrte.org/portfolio-item/F9032038620/ Assistant Professor, MCA Department, MEPCO Schlenk Engineering College, Sivakasi, Tamilnadu, India. Kanagaraj K* Cloud computing is one of the popular technological advancement in the current IT industry. The multifaceted benefits of cloud computing has attracted huge number of public and industrial customers. There are numerous cloud service providers available with variations in type and cost of resources. This makes it very difficult to select a suitable service provider. The Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) is a popular method used of ranking service providers. However it reuires parameters that belong to a same category and rating scale. In this research we propose M-TOPSIS (Multilayer TOPSIS), a technique for ranking of service providers based on different categories with multiple parameters having different rating scales. The proposed technique applies TOPSIS for each category of input. The ranking of service provider in each category is then used to rank the available service providers, based on the overall performance. The efficiency of the proposed technique is compared with the existing models and the experimental results proved that the M-TOPSIS is able to rank service providers more accurately than the other existing models like E-FPROMTHEN. 03 30 2020 3727 3730 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9035.038620 https://www.ijrte.org/portfolio-item/F9035038620/ Assistant Professor, PG and Research Department of Mathematics, Jamal Mohamed College (Autonomous), (Affiliated to Bharathidasan University), Tiruchirappalli-620020,Tamilnadu, India. Prasanna A* Premkumar M Research Scholar, PG and Research Department of Mathematics, Jamal Mohamed College(Autonomous), (Affiliated to Bharathidasan University), Assistant Professor, Department of Mathematics, Kongunadu College of Engineering and Technology,Tiruchirappalli-620020, Tamilnadu, India. Ismail Mohideen S Principal , Head and Associate Professor, PG and Research Department of Mathematics, Jamal Mohamed College (Autonomous), (Affiliated to Bharathidasan University), Tiruchirappalli-620020, Tamilnadu, India. In this paper, the launched of fundamental algebraic attributes of Fuzzy Subring, Normal Subring and Ideal are defined and discussed and also explain about the homomorphic behavior of Fuzzy Subring, Normal Subring and Ideal and their inverse images has been described. Some several algebraic structures related to results have been discover. 03 30 2020 5033 5037 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9036.038620 https://www.ijrte.org/portfolio-item/F9036038620/ Department of Computer Science and Engineering,Sri Krishna college of Technology,Coimbatore,India. Padmavathi. S Mathu Mithaa.E Department of Computer Science and Engineering,Sri Krishna college of Technology,Coimbatore,India. Kiruthika. T Department of Computer Science and Engineering,Sri Krishna college of Technology,Coimbatore,India. Ruba. M Department of Computer Science and Engineering,Sri Krishna college of Technology,Coimbatore,India. Dermatological diseases are found to induce a serious impact on the health of millions of people as everyone is affected by almost all types of skin disorders every year. Since the human analysis of such diseases takes some time and effort, and current methods are only used to analyse singular types of skin diseases, there is a need for a more high-level computer-aided expertise in the analysis and diagnosis of multi-type skin diseases. This paper proposes an approach to use computer-aided techniques in deep learning neural networks such as Convolutional neural networks (CNN) and Residual Neural Networks (ResNet) to predict skin diseases real-time and thus provides more accuracy than other neural networks. 03 30 2020 4781 4784 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9038.038620 https://www.ijrte.org/portfolio-item/F9038038620/ Assistant Professor, CSE, Sri Krishna College of technology, Coimbatore, Tamilnadu. Ms. P. Kalpana* Mr. Saanjeev Kumar K R of Final year computer Science Student from Sri Krishna College of Technology. Mr.Sakthi Vignesh R of Final year computer Science Student from Sri Krishna College of Technology. Vignesh R computer Science Student from Sri Krishna College of Technology. Smart gas leak is based upon controlling gas leak and actuating some smart notifications so that we are still in safety. Microcontroller with Wi-Fi module is used for communication with mobile phone. Using Arduino IDE program, we pass a command to the microcontroller, then the microcontroller converts the given value into digital output which can be observed and analyzed. In this project, connected to Wi-Fi module using smartphone will help us to communicate with the LPG solenoid valve to cut the supply of gas when a leak is detected. When the gas leak is detected by the gas sensor the controller actuates the LPG valve to cut the supply of gas also notifying the operator, owner and mails it to the gas company for immediate action 03 30 2020 4785 4787 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9041.038620 https://www.ijrte.org/portfolio-item/F9041038620/ CSE, Sri Krishna College of Technology, Coimbatore, India. Siva Prasath V* Santhosh Kumar K* CSE, Sri Krishna College of Technology, Coimbatore, India. Vijay Anandh S* CSE, Sri Krishna College of Technology, Coimbatore, India. Sujatha R* Assistant Professor, CSE, Sri Krishna College of Technology, Coimbatore Small scale blogging stages have gotten instrumental in measuring open mind-set. So it makes a practical prescient technique to theorize the ascent and fall of stock costs. This paper plans to embrace a stepwise strategy to decide the impacts of a individual performance .It includes extricating tweets from twitter, information purifying and use of a reasonable calculation so as to get the satisfactory estimation examination. Models incorporate buying items, tuning in to music, visiting areas in physical or virtual situations, etc. There has been huge earlier work in such settings on creating prescient displaying methods for prescribing new things to people, regularly utilizing procedures, for example, lattice factorization. There are numerous circumstances, in any case, where making expectations for both beforehand devoured and new things for an individual is significant, as opposed to simply prescribing new things. This project is to explore this issue and find that broadly utilized grid factorization techniques are constrained in their capacity to catch significant subtleties in authentic conduct, bringing about generally low prescient precision for these sorts of issues. As an elective to propose an interpretable and adaptable blend model structure that adjusts singular inclinations as far as investigation and misuse. 03 30 2020 3731 3735 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9042.038620 https://www.ijrte.org/portfolio-item/F9042038620/ Research scholar, Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune, Maharashtra, India Vaishali M. Joshi* Dr.R.B. Ghongade Professor, Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune, Maharashtra, India Today’s young generation is tormented by anxiety and stress. A past study shows that, anxiety and stress negatively impact mental and physical health, which ultimately ends up in loss of confidence, self-esteem, and negative performance. This work set guidelines for a replacement approach in neuroscience that only single-channel EEG data has sufficient information for emotion recognition. In this paper, the performance of system is evaluated using subject independent test on the SEED benchmark database using deep learning algorithm namely a bidirectional long short term memory (BiLSTM) classifier. The performance shows that results of single-channel FP1, the combined band (theta, alpha, beta, and gamma) are similar to 62 channels the best accuracy of the beta band. Result obtained for single channel (FP1) using differential entropy (DE) for all band is 74.91% as that of the highest accuracy of the beta band for 62 channels Yang Li, W. Zheng, 2019 74.85%. 03 30 2020 4788 4794 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9044.038620 https://www.ijrte.org/portfolio-item/F9044038620/ Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, India Mr.R. Karthik* T.S. Sridhar Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, India. R. Sriram Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, India. As people nowadays engage themselves in busy schedules they skip their meals just because they have to go somewhere for food. So to avoid these, applications like Zomato, swiggy,and foodpanda need to be efficient and be able to order multiple items from multiple restaurants in a single order. Food orders from mobile devices are common nowadays, and they can help consumers order food more easily and efficiently. It can also give manufacturers and consumers full benefit. This allows the consumer to get the advantage of delivering food online. This research used a quantitative approach with 187 respondents to find out what stimulus variables important people in the online supply order.In existing systems, only order is placed in a single grocer. With this system we can place orders for multiple grocers.Apps are limited to mobile phones where this web application is accessed across various devices like mobile phones, PC , PDA ,tablets etc. 03 30 2020 4795 4798 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9049.038620 https://www.ijrte.org/portfolio-item/F9049038620/ Dept. of Computer Science and Engineering The NorthCap University, Gurugram Meghna Sharma* Manjeet Singh Tomer Dept. of Computer Applications J C Bose University of Science and Technology, YMCA, Faridabad Priyanka Vashisht Dept. of Computer Science and Engineering The NorthCap University, Gurugram In today’s world of wireless communication, technologies like Wi-Fi, Global Positioning Systems (GPS), Radio Frequency Identification (RFID) and Wireless Sensor Networks (WSN) play a vital role in various applications for the benefit and convenience of the society. A widespread application of RFID networks based on automatic data capture technology is supply chain management. In RFID enabled supply chain process lot of possibilities of outliers or anomaly generation due to technical or environmental factors exist. This work mainly focuses on identifying various techniques used for outlier detection in RFID datasets in supply chain process. Most of literature studies are related to objects tracking and product management in the domain of supply chain but very few researchers have worked on the abnormal condition or outlier detection while monitoring of RFID tagged objects. Outliers are any kind of deviation in supply chain processes from its normal processing or behavior. Our research is specific to the supply-chain process using RFID system specifically for the abnormality detection in the localization process in supply-chain process. Inaccurate localization of objects can be due to several reasons like theft, counterfeiting, traffic problem, environmental factors or malfunctioning of the vehicle carrying RFID tagged objects. 03 30 2020 4345 4353 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9052.038620 https://www.ijrte.org/portfolio-item/F9052038620/ Department of Mechanical Engineering, GIET University, Gunupur, India Yamini S* Senthil Kumar K* Department of Mechanical Engineering, GIET University, Gunupur, India Sivakami Sundari M Department of BSH, GIET University, Gunupur, India Kalicharan Rath Department of Mechanical Engineering, GIET University, Gunupur, India Successfully analyzing any process using computers is now life line of engineering. With the power of computer, using computers for decision making is ever increasing. Modeling and analyzing engineering elements is not considered as important method now and become mandatory to decide design conditions and parameters. Unlike manual design and analysis computational analysis provides many choices for selection of material to machining and methodology. Crane is a load carrying mechanical element which place vital role in many applications. It is one of the wonders of engineering field the weight of crane to load carrying capacity ratio is multifold and successfully handling of materials carried out. However the success remains with design of the crane hook which ultimately handles the entire load carried by the crane. Not only cranes, in many mechanical, automobile, aircraft and even spacecraft, the hooks play vital role in transferring load. Failure of hooks results to system failure in many applications. With advent of new composite materials and aluminum based light material in weight but stronger structure in design is need of the hour. And this analysis is such an effort to demonstrate systematically how such a critical crane elements analyzed to ensure safety. Under varying load condition, how the stress distribution changes in direction and magnitude is presented in this work. 03 30 2020 3736 3741 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9055.038620 https://www.ijrte.org/portfolio-item/F9055038620/ Department of Electrical and Electronics Engineering, Kongu Engineering College, Erode, India. Lavanya N Senthilnathan N Professor, Department of Electrical and Electronics Engineering, Kongu Engineering College, Erode, India. Sakthivadivel D Robert Bosch Engineering and Business Solutions Private Limited, Coimbatore, India. Obuli Raj P Robert Bosch Engineering and Business Solutions Private Limited, Coimbatore, India. In recent years, owing to the severity of global warming and deduction in petroleum resources quicken the researches to move on sustainable energy resources. Thereby E-mobility has been picturized and fully electric vehicle technology is the major research area nowadays. This paper presents the design methodology of electric traction motor requirement by considering vehicle dynamics and passenger car parameters. Pertaining to the vehicle desired performance, the maximum optimal power is computed. Followed by that power, torque Vs speed profile is determined and the same is compared with the urban and extra-urban drive cycle to estimate the average power and torque. Then the Interior PMSM 2D Finite Element Method (FEM) analysis is planned to carry out with the geometries obtained from analytical calculations for two different slot-pole combinations. The performance differences such as torque Vs speed profile, No-load Back EMF and torque ripple are investigated. 03 30 2020 4799 4804 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9056.038620 https://www.ijrte.org/portfolio-item/F9056038620/ Assistant Professor, Department of Civil Engineering, St.Joseph’s College of Engineering, Chennai-600119, India. S. Thangaperumal* N.Muthu Maneckam Department of Civil Engineering, St.Joseph’s College of Engineering, Chennai-600119, India. G. Nachiappan Department of Civil Engineering, St.Joseph’s College of Engineering, Chennai-600119, India. Urban growth of Chennai district is exponential and heading towards extreme urbanisation. Hence this necessitates the study of urban growth in Chennai district. The recent advancement in Remote sensing and GIS has an excellent ability to derive various data from the satellite images obtained .This helps us to map, monitor and picturise various aspects of development with respect to their demands. The basic principle of remote sensing is followed as the methodology. By following the methodology correctly and by proper processing of the data acquired from the satellite images, the exact requirements of information can be obtained. The Change in the urban growth of the Chennai district for three decades from 1989 to 2019 have been found by using remote sensing and GIS techniques. The satellite images of various years are obtained from Landsat satellite from the USGS Earth Explorer .The Land use characteristics of Chennai district of each year can be obtained by preparing the land use land cover map of Chennai district by the use of landsat satellite images. The two software namely ArcGIS and ERDAS Imagine are used to create the Land use land cover map. From the Land use land cover map of Chennai district, the change detection and statistical analysis of three decades are done and these analysis clearly shows that the urban growth of Chennai district is constantly increasing and there is a huge decrease in other natural features such as vegetation, water body and barren land. By performing urban trend analysis the urban growth of Chennai district for the upcoming years are predicted to prove the urban agglomeration in Chennai district. 03 30 2020 5119 5125 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9059.038620 https://www.ijrte.org/portfolio-item/F9059038620/ Ph.D. Department of buildings and structures, Samarkand State Architectural and Civil-Engineering Institute, Samarkand. Uzbekistan Tulakov Elmurad Salamovich* Inoyatov Dilovar Tolibovich applicant; Department of buildings and structures, Samarkand State Architectural and Civil-Engineering Institute, Samarkand. Uzbekistan Kurbonov Alijon Sarabek o’g’li applicant; Department of buildings and structures, Samarkand State Architectural and Civil-Engineering Institute, Samarkand. Uzbekistan Rain and melt water will form temporary accumulations of surface water on the surface. When they seep into the ground, temporary streams of leaky filter water are formed. If a limited section of water-resistant soil layer or the roof of an underground structure is encountered in the path of these waters, a temporary aquifer-the upper layer of ground water-may form above them. In temporary and permanent aquifers, the soil pores are completely filled with gravitational water, the degree of water saturation is equal to one, and there is pressure under the surface of underground water. Above this surface is a zone of capillary moisture, while the level of capillary rise is determined by the granulometric composition of the soil and ranges from tens of centimeters in sand to several meters in dusty and clay soils. Capillary water rises in the ground on free canals formed by mutually communicating pores, or is kept in them in limbo.The lifting of the liquid in the capillary continues until the gravity acting on the column of the liquid in the capillary becomes equal to the resulting force. Capillary water penetrates from the ground into the walls and rises to a height of up to 2 meters. The normal moisture content of the brick walls is 0.02...0,03, and in the case of unprotected contact with moist soil is increased to 0.15...0.25. On the inside of the walls there is a damp, mildew. Evaporating water increases humidity in the room, and the salts released when it evaporates from salt solutions lead to peeling paint, destruction of plaster and wall material. 03 30 2020 4832 4835 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9060.038620 https://www.ijrte.org/portfolio-item/F906003862/ Mechanical Engineering Department, Qassim University, Buraidah 51452, Saudi Arabia. Hany R. Ammar* S. Sivasankaran Mechanical Engineering Department, Qassim University, Buraidah 51452, Saudi Arabia Abdulaziz S. Alaboodi Mechanical Engineering Department, Qassim University, Buraidah 51452, Saudi Arabia. In the present study Cu2MnSnS4/Se4 nanostructured material is synthesized using mechanical alloying. The elemental powders were alloyed in a high-energy ball mill under the following conditions: milling time 25 hours, ball-to-powder mass ratio (BPR) 10:1 and a rotation speed of 300 rpm. Detailed investigation of the microstructure of the synthesized alloy was carried out. The starting elemental powders size and morphology were characterized using Apreo field emission gun scanning electron microscope (FEGSEM). Elemental mapping of the synthesized alloy was characterized using energy dispersive spectroscopy (EDS) attached to FEGSEM system. Analysis of microstructure was performed using EDAX-TEAM advanced software. A dynamic laser light scattering was used for particle size analysis. The results showed that Cu2MnSnS4/Se4 nanostructured is successfully synthesized by ball milling. The Z-average size distribution of the particle reveals that ball milling results in a considerable refining in the particle size from 44 micron down to 923.5 nm. Further, it was observed that 94.4% showed an average size of 725.8±233 nm. Microstructural analysis confirmed the formation of a homogenous structure of Cu2MnSnS4/Se4 alloy in the powder and green samples. The elemental mapping confirmed the formation of solid solution of the processed alloy with homogenous distribution of all elements in the examined region. Quantitative analysis performed by EDAX-TEAM software confirmed the chemical composition and homogeneity of the processed material. 03 30 2020 3749 3755 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9066.038620 https://www.ijrte.org/portfolio-item/F9066038620/ Computer Science Department, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia Abdulmajeed Alsufyani* Brain Computer Interface allows disabled people to communicate with the external world by using their brain signals. The main goal of a BCI is to provide patients who suffer form any neuromuscular disorders whith a communication channel based on their brain signals. In this paper, the aim is to explore the effects of applying deep learning algorithms and Event Related Spectral Perturbation analyses on the performance of different EEG-based BCI paradigms. Two paradigms were investigated: one is based on the Matrix paradigm (known as oddball); and the other one utilizes the Rapid serial visual Presentation (RSVP) for presenting the stimuli. Deep learning algorithms of convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) were utilized to evaluate the two paradigms. Our findings showed that Matrix paradigm is more effective in detecting P300 signal. In terms of classification methods, deep learning of CNN algorithm has shown superiority performance in comparison with the other machine learning algorithms. 03 30 2020 3756 3663 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9067.038620 https://www.ijrte.org/portfolio-item/F9067038620/ Student, Department of School of Computer Science and Engineering, Galgotias University , Greater Noida, India Rohan Bali* Satyajee Srivastava Assistant Professor, Department of School of Computer Science and Engineering, Galgotias University , Greater Noida, India The study of customer behavior both in online and offline purchases plays a very important role for the seller. The aim of this study is to identify customers on various parameters and thus re-define policies based on the behavior of customers. This paper works on churn analytics for retaining customers, a market-based analysis for identifying the support and confidence among products and a recommendation system built on the IBCF approach. Churn Analytics helps the seller to answer about whether the customers are leaving there products or services. The goal of every seller is to maintain a low churn rate and thus have large margins and bigger profits. Further, performing a market-based analysis can be very fruitful for a supermart. This approach helps in organizing the items in a store in an efficient and scientific manner. This paper uses different machine learning algorithms techniques to conduct churn for the given data. It then calculates the accuracy and precision of each model using a confusion matrix. Confusion matrix thus helps us in selecting the best model to get more accurate results.This paper conducts the above analysis using the ‘Apriori’ algorithm. To conclude, a recommendation system is used to suggest customers products based on the history of their purchase or the similarities of that product with other products or other consumers. Thus, this study will help in understanding various aspects of customer behavior. 03 30 2020 4017 4020 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9069.038620 https://www.ijrte.org/portfolio-item/F9069038620/ EIE Department, Thapar Institute of Engineering and Technology, Patiala (INDIA). Parag Nijhawan* Vinod Kumar Bhalla CSE Department, Thapar Institute of Engineering and Technology, Patiala (INDIA). Manish Kumar Singla EIE Department, Thapar Institute of Engineering and Technology, Patiala (INDIA). Jyoti Gupta EIE Department, Thapar Institute of Engineering and Technology, Patiala (INDIA). Electrical load demand is variable in nature. Also, with the increase in technological development and automation, electric load demand tends to rise with time. For this, our generation facilities should be adequate 24x7 to meet the consumer’s load demand effectively. Therefore, load demand needs to be predicted or forecasted to avoid the energy crisis. In this paper, support vector machine (SVM) algorithm is explored for electric load forecasting. The live load data for the period of three months i.e., January to March, 2015, from a typical 66kV sub-station of the Punjab State Power Corporation Limited (PSPCL) for a selected site at Bhai Roopa sub-station, Bathinda, situated in the Punjab state of India, is acquired for the presented simulation study. The collected live data is divided into three categories, i.e., validation, training, and testing for the simulation study considering a SVM approach. Then, based on the environmental data input for the next 50 hours, the electric load is predicted. The obtained results from simulation were validated with the live load data of the selected site and found to be within the permissible limits. The mean square error (MSE), root-mean-square error (RMSE), mean absolute error (MAE), absolute percentage error (APE), mean absolute percentage error (MAPE) and sum of squares error (SSE) were calculated to show the effectiveness of the proposed support vector machine (SVM) algorithm based STLF. SVM is one of the effective machine learning algorithms. The errors so obtained clearly suggest that the proposed SVM algorithm gives reasonably accurate results, and is reliable for electric load forecasting. 03 30 2020 4811 4816 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9072.038620 https://www.ijrte.org/portfolio-item/F9072038620/ Assistant Professor, Department of CSE, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, India. Dr. T. Veeramakali* Dr. D. Ramkumar Principal, Department of ElCE, As-salam College of Engg & Tech, Thanjavur, Tamilnadu, India. Dr. Subramanian Selvakumar Professor, Dept. of Computer Science & Engineering, Visvesvaraya College of Engineering & Technology, Hyderabad, India. Dr. Sanjeevi Pandiyan Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Jiangnan University, Wuxi, China. Dr. Baseera A Asst. Prof., School of Computing Science and Engineering, Vellore Institute of Technology-Bhopal, Madhya Pradesh, India. All humans mainly rely on cultivation for food. Agriculture acts as a backbone for many countries’ economy. Deprived of agriculture there could be no towns, universities, industries or workplaces. As humans we have to improvise our cultivation to increase the gained profit and also to handle all the food demands due to the increase in world population. Basically we need to have a basic understanding about our environment and its altering conditions to improvise our farm production techniques. Manual collection of these agricultural data will not be qualitative since there won’t be any data collection of earlier techniques used by our ancestors. Such information is required to avoid invalid conclusions before being utilized in our current agricultural methodologies. IoT in agricultural field plays a vital role in providing improvements in cultivation techniques, disease diagnosis, providing fertility rates, water stress level, field monitoring, detecting soil erosion, smart data handling, analysis of crop yield, automation to water spreading, better product’s quality, risk management, effective data handling etc. We can utilize IoT wireless networks for the collection of all the information necessary for agriculture. We can receive spatial data from IoT cameras and many more new technologies utilized to improvise the irrigation methodology. The decision making will be improved with more security and optimized outcome will be gained. In our proposed method, a smart agricultural methodology based on IoT platform is proposed. The collection of various data related to fertilization, soil, environment, irrigation etc. are done to perform data correlation and data filtering. Crop forecasting and prediction can be done to perform perfect farming by agricultural assessment. Our proposed model can be integrated to any IoT sensors; cameras etc. in a virtual manner and it supports cloud data storage as well. A stable connectivity is also possible between the IoT devices. Here we have provided a detailed survey of all the research works we have referenced, our proposed model along with the architecture, hardware (Microcontrollers, Zigbee Module, Moisture sensor etc.) and software (Debugging, Simulator, Dip Trace, Monitoring etc.) used, result evaluation is also done for temperature, humidity value, channel status etc. All the results are graphically represented and our brief conclusion is given. 03 30 2020 5798 5805 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9073.038620 https://www.ijrte.org/portfolio-item/F9073038620/ SMEC, Vellore Institute of Technology Chennai, Chennai, India. Praveen Kumar* Ashish Kumar Hirwani SMEC, Vellore Institute of Technology Chennai, Chennai, India. Manshu Gupta SMEC, Vellore Institute of Technology Chennai, Chennai, India. R. Siva Kumar. SMEC, Vellore Institute of Technology Chennai, Chennai, India. T. Venugopal SMEC, Vellore Institute of Technology Chennai, Chennai, India. Generally, fossil fuels are non-renewable and depleting day by day. The usage of renewable fuels reduces global warming. Alcohols are renewable in nature and used in SI engines due to their good combustion properties like antiknock and flame velocity. Ethanol, methanol, and butanol are commonly used alcohols. Ethanol is widely used in countries, where it is abundant. Butanol is gaining more attention due to its combustion properties being similar to gasoline and its corrosion less behavior when compared to ethanol. Butanol injection in the intake port through port injectors will form a plume, which leads to high emission. The high viscosity of butanol is the reason behind such plume which is the major cause of poor vaporization, less fuel efficiency, and high hydrocarbon emissions. Methods like heating of butanol to high temperatures, increasing the injection pressure and blending of butanol with less viscous fuels like gasoline and ethanol can be accomplished to obtain a better fuel spray. This particular work reveals the visualization of the spray of butanol with different fuel temperatures, injection pressure and the blending of butanol with gasoline and ethanol. Further, it can be a knowledge base for utilizing renewable butanol effectively in automotive engines for achieving low emission and high fuel efficiency. 03 30 2020 4947 4951 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9074.038620 https://www.ijrte.org/portfolio-item/F9074038620/ Assistant Professor, CSE Department, Easwari Engineering College, Chennai, Tamil Nadu. Kalpana Devi S* A Pranusha CSE Department, Easwari Engineering College, Chennai, Tamil Nadu. S Priyanka CSE Department, Easwari Engineering College, Chennai, Tamil Nadu. R S Ram Abhishek CSE Department, Easwari Engineering College, Chennai, Tamil Nadu. The necessity of credit cards and online payment techniques become extremely popular and simple to perform because of easy and safe money handling techniques. The usage of the ATM by visually challenged people is a problem. Though there are certain features for the visually challenged users like speech instructions, there is no conformity of the amount entered or of that transacted. As a result, these people have no security, ease or comfort during the ATM transactions. So, there is a need to provide a method for the visually challenged people to effortlessly perform ATM transactions with better security. Our proposed system designed a device that can act as an aid for the visually challenged to transact in the ATM. The devised system recognizes the amount to be transacted as entered on the screen using Optical Character Recognition (OCR) and conveys it to the user via speech. After transaction, the banknotes are recognized by the system using image recognition through vital banknote feature extraction and the verification is provided regarding the amount transacted and the intended amount. 03 30 2020 5126 5132 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9075.038620 https://www.ijrte.org/portfolio-item/F9075038620/ Student, Department of Computer Science and Engineering Mahatma Gandhi Institute of Technology, Hyderabad, India Jagruthi Pulipati* Arepalli Gopi Assistant Professor, Department of Computer Science and Engineering Mahatma Gandhi Institute of Technology, Hyderabad, India R. Mohan Krishna Assistant Professor, Department of Computer Science and Engineering Mahatma Gandhi Institute of Technology, Hyderabad, India The main objective and scope of this project are to overcome the practical problem of project submission and approval in educational institutions. This will cut down the physical efforts of students, staff and also the time frame period of completing this part of the project work. Students can streamline their project status every week and provide a report regarding the progress, which will be monitored by all the relevant professors. The application provides an interface to both the faculty and students to easily communicate about the project work with no difficulties. This portal integrates numerous features like student updating the progress of their project online to their guide; where the guide can verify it and can accept/reject the students' note; this response would be reflected in each student's dashboard; a guide can also post the information about his mentees weekly progress to the class in charge. This portal prominently serves as a repository of students' work as they are presenting in one place, and this reduces a lot of actual toil for both students and faculty. Thus, thereby automating the process of project management in educational institutions. This implementation can be achieved by making use of android application development tools like the Android Studio IDE, Java JDK, SDK tools and an emulator or a smartphone to test the working of this application. We make use of Google's Firebase for back-end support which allows us to build applications that need authentication, database, file storage, and server-side functionality without having to hold and handle infrastructure and software needed for server-side support. 03 30 2020 4952 4957 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9079.038620 https://www.ijrte.org/portfolio-item/F9079038620/ is currently working as Associate Professor/CSE at Sri Krishna College of Technology, Coimbatore, Tamilnadu, India, Dr. S. Siamala Devi* K Vishnunandh currently pursuing bachelors degree program in computer science and engineering at Sri Krishna College of Technology, Coimbatore, Tamilnadu, India R SriVignesh currently pursuing bachelors degree program in computer science and engineering at Sri Krishna College of Technology, Coimbatore, Tamilnadu, India Fog Computing (FC) is an advancing figuring innovation that works during a conveyed domain. One of the hindrances with cloud applications such as the health monitoring system is latency. Fog Computing is an incredible way to diminish the processing time or latency. Mist processing is an answer for the latency since it gives calculation, stockpiling, and systems administration asset for IoT, closer to things and clients. One among the promising preferences of mist is lessening administration delay for client applications, while cloud furnishes broad calculation and capacity limit with a superior inactivity. In this manner it's important to realize the transaction between mist processing and cloud, and to gauge the impact of Fog Computing on the IoT administration deferral and QoS. FC means to bring distributed computing highlights on the precarious edge of edge gadgets. The methodology is anticipated to fulfill the base inertness necessity for social insurance Internet-of-Things (IoT) gadgets. Social insurance IoT gadgets produce different volumes of human services information. This gigsantic volume of information prompts high information traffic that causes organize clog and high idleness. an ascent in full circle time delay because of huge information transmission and tremendous bounce tallies among IoTs and cloud servers render social insurance information negligible and deficient for end-clients. The proposed model, which is a fog cloud information model that propounds healthcare as a cloud service, effectively manipulates the data that comes from the user requests. 03 30 2020 4114 4117 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9084.038620 https://www.ijrte.org/portfolio-item/F9084038620/ Resarch Scholar, Department of Civil Engineering, Dr MGR Educational and Research Institute, Brightlin K E* Dr Felixkala T Dean-Student affairs and Professor , Department of Civil Engineering, Dr MGR Educational and Research Institute Elimination of cement in concrete was found to get increased with the introduction of geopolymer concrete. In that geopolymer concrete, natural aggregate was replaced by artificial thermal ash aggregate. The mix design was arrived by trail. The replacement level of artificial aggregate was 20, 40, 60, 80 and 100 percentages by weight of natural aggregate. The results of workability and mechanical properties of the mixes are find to be good. About 135% in compressive strength, 15% in split tensile strength and 987% in flexural strength was find to be increased. 03 30 2020 3954 3956 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9089.038620 https://www.ijrte.org/portfolio-item/F9089038620/ CSE department, GITAM University, Bangalore, India. K.Ravi Teja* Brahmananda S H CSE department, GITAM University, Bangalore, India. Swasthika Jain T J CSE department GITAM University, Bangalore, India. To increase the success rate in academics, attendance is an essential aspect for every student in schools and degree colleges. In olden days, this attendance is manually taken by teachers with pen and paper method, which consumes more amount of time in their busy management scheduling era. To make this attendance taking more comfortable and more accurate, a multi model biometric system for attendance monitoring system is proposed using a Raspberry Pi single-board computer. The camera and biometric device which is connected to the system gathers Information regarding the students by recognizing their faces and their fingerprint simultaneously. If both of them match with the student details stored in the database, then the system will be sending an alert about the student presence in the class. The student details which is stored into the database is collected from the students initially. By using these details like images and fingerprints the system is trained by using a Convolutional Neural Network (CNN) Machine Learning Algorithm. 03 30 2020 4284 4287 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9094.038620 https://www.ijrte.org/portfolio-item/F9094038620/ Mechanical Engineering Department, Sagar Institute of Science and Technology, Gandhi Nagar, Bhopal, India. Prem Kumar Chaurasiya* Nitin Kumar Sahu Mechanical Engineering Department, Sagar Institute of Science and Technology, Gandhi Nagar, Bhopal, India. Rashmi Dwivedi Mechanical Engineering Department, Sagar Institute of Science and Technology, Gandhi Nagar, Bhopal, India. Sanjay Kumar Singh Mechanical Engineering Department, Sagar Institute of Science and Technology, Gandhi Nagar, Bhopal, India Sanjay Chhalotre Mechanical Engineering Department, Sagar Institute of Science and Technology, Gandhi Nagar, Bhopal, India. The objective of the work is to evaluate the best design parameters of connecting rod using Ultrafine Grained Material AA2618. The critical buckling stress for existing material (C70S6) is high and the primary objective is to optimize connecting rod in terms of reduction of weight and stress. The numerical investigation has been carried out using ANSYS. Modeling of connecting rod is done in Solid works designing software. The analysis is performed on Ansys to calculate the critical buckling stress and Von-mises stress is calculated in the stress analysis by applying the maximum external load. The analysis results are plotted graphically and results are compared to find the useful outcomes which are used to predict the structural behavior of connecting rod under given load. 03 30 2020 4298 4294 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9096.038620 https://www.ijrte.org/portfolio-item/F9096038620/ Student at SVERI’s COE Pandharpur, India, Mr. Abhishek R Sonar* Mr. Husain K Bhaldar Research scholar, BKIT, Bhalki, VTU Belgavi & amp:Asst Prof.SVERI’s COE, Pandharpur, India, Mr. Rohit S Ranaware Student at SVERI’s COE Pandharpur, India Mr. Tanjim M Sayyad Student at SVERI’s COE Pandharpur, India, In today’ sera, there is a huge adv an cement in the field of sensors and computing systems which make real- time monitoring of Bridges much easier and cheaper. There is a need for real-time bridge strength monitoring to avoid crisis scenarios. Currently available systems use a much more complicated wired network, sensors, and controller, this results in a high cost of installation resulting in an in crease in the cost of a bridge. The wired network increases complexity which makes it complicated to install .This paper proposes the use of Raspberry pi which has a longer life span which reduces complications in-network and uses advanced sensors. 03 30 2020 4736 4738 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9106.038620 https://www.ijrte.org/portfolio-item/F9106038620/ Assistant professor, Govt. M.S. College, Bikaner, Rajasthan. Akshay joshi* R. Mangal Head of department, Physics, Govt. Dungar College, Bikaner, Rajasthan. In the present era, Natural fibers are favored for the formation of composites due to their low density, high strength, biodegradability, easy production, low carbon foot, environment friendly nature in comparison of synthetic fibers. This Paper deals with NFRC made from natural fibers obtained from the plants of arid region of Western Rajasthan on which a few researchers are focusing. This paper discuss on the extraction process of fiber from the ber’s stems, manufacturing of composites by using epoxy resin & ber’s fibers then testing of its mechanical properties e.g. tensile strength, young modulus, yield strength , and percentage elongation. Six Sample were made having weight ratio - 0.1, 0.2, 0.3, 0.4, 0.45, & 0. 6. Dog bone samples were prepared according to the ASTM D638 (Type IV) standard. Tensile strength varies from 12.19 MPa to 25 MPa, while young modulus varies from 1.4GPa to 2.9GPa for different weight ratios. Yield strength varies from 10.77 MPa to 21.16 MPa. Percentage of Elongation varies from 1 to 3%. These results shows that ber’s stems can be used for fiber extraction to manufacture composites materials & for better mechanical properties minimum fiber volume fraction percentage is 13% and maximum fiber fraction is 31%.This data can be used further when optimum value of fiber volume fraction is required to form composites from ber’s fibers. 03 30 2020 5393 5397 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9108.038620 https://www.ijrte.org/portfolio-item/F9108038620/ Student at SVERI’s COE, Pandharpur, India Miss.Anjali P. Katkar* Mr. Husain Bhaldar Research Scholar, BKIT, Bhalki, VTU Belgavi &Asst Prof. SVERI’s COE, Pandharpur, India Miss.Kirti A.More Student at SVERI’s COE, Pandharpur, India Miss.Anjali M. Yelasange Student at SVERI’s COE, Pandharpur, India In today’s era most of the people prefer dinner in the restaurant. The use of robots as waiters in restaurants is an increasing trend in the service industry. The Waiter-robot is an exceptional autonomous robot which has the ability to follow a designated path by measuring the distance and reach its intended destination. It reducing effort, time, error, etc and increasing quality, capacity and efficiency in the delivering the food. This robotic application using a Raspberry-pi based kit mounted with ultrasonic sensors for mapping and localization of destination table. 03 30 2020 3689 3692 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9109.038620 https://www.ijrte.org/portfolio-item/F9109038620/ Department of Information Technology, Jayawantrao Sawant College Of Engineering, Pune, India Pratiksha Banagr* Deeksha Gupta Department Of Information Technology, Jayawantrao Sawant College Of Engineering, Pune, India Sonali Gaikwad Department Of Information Technology, Jayawantrao Sawant College Of Engineering, Pune, India Bhagyashree Marekar Department Of Information Technology, Jayawantrao Sawant College Of Engineering, Pune, India Jyoti Patil Ph. D. Research Scholar, Department of CSE, Koneru Lakshmaiah Education Foundation (KLEF), Guntur, A.P.India. Per the statistics received from BBC, data varies for every earthquake occurred till date. Approximately, up to thousands are dead, about 50,000 are injured, around 1-3 Million are dislocated, while a significant amount go missing and homeless. Almost 100% structural damage is experienced. It also affects the economic loss, varying from 10 to 16 million dollars. A magnitude corresponding to 5 and above is classified as deadliest. The most life-threatening earthquake occurred till date took place in Indonesia where about 3 million were dead, 1-2 million were injured and the structural damage accounted to 100%. Hence, the consequences of earthquake are devastating and are not limited to loss and damage of living as well as non-living, but it also causes significant amount of change-from surrounding and lifestyle to economic. Every such parameter desiderates into forecasting earthquake. A couple of minutes’ notice and individuals can act to shield themselves from damage and demise; can decrease harm and monetary misfortunes, and property, characteristic assets can be secured. In current scenario, an accurate forecaster is designed and developed, a system that will forecast the catastrophe. It focuses on detecting early signs of earthquake by using machine learning algorithms. System is entitled to basic steps of developing learning systems along with life cycle of data science. Data-sets for Indian sub-continental along with rest of the World are collected from government sources. Pre-processing of data is followed by construction of stacking model that combines Random Forest and Support Vector Machine Algorithms. Algorithms develop this mathematical model reliant on “training data-set”. Model looks for pattern that leads to catastrophe and adapt to it in its building, so as to settle on choices and forecasts without being expressly customized to play out the task. After forecast, we broadcast the message to government officials and across various platforms. The focus of information to obtain is keenly represented by the 3 factors – Time, Locality and Magnitude. 03 30 2020 4684 4688 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E9110.018620 https://www.ijrte.org/portfolio-item/F9110038620/ Associate Professor, Department of Civil Engineering, Vasavi College of Engineeering, Hyderabad S. Vijaya Kumar* Dr. B. Dean Kumar Professor, Department of Civil Engineering, JNTUH, Hyderabad Dr. B.L.P. Swami Professor, Department of Civil Engineering, Methodist College of Engineering and Technology, Hyderabad. The present paper deals with triple blended Self-Compacting Concrete (SCC) where 53 grade of cement is blended with flyash and Condensed Silica Fume (CSF) at different percentages as replacements to the cement. The steel fiber of diameter 1mm; with an aspect ratios varying from 20,30 and 40 were mixed to get the higher mechanical properties such as compressive and tensile strengths at four different percentages. The required number of cube and the cylindrical specimens of triple blended steel fibrous SCC were prepared and evaluated for compressive and the tensile strengths. The magnitude of the test results have indicated that there is enhancement in the axial strength properties of this type of the concrete as the percentage of steel increases up to certain value to fulfil the needs of the SCC as per the America Concrete Institute (ACI) norm. The regression equation is derived for the experimental values for the compressive and the spilt tensile strength of steel fibere self-compacting concrete (SFSCC) and verified acceptance the equation. The results of present investigation would help in the preparation of optimum tri- blended steel fibrous SCC ,which are suitable for practical usages like floor slabs bridge decks, important highways, airport runways and thin shaped concrete structural elements. 03 30 2020 4958 4964 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9112.038620 https://www.ijrte.org/portfolio-item/F9112038620/