-74813b3e17f460286df-468a 20220419075138480 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 04 30 2020 9 6 Department of Computer Science & Technology, Guru Nanak Dev University, Amritsar, India. Rajinder kaur* Kiranbir kaur Assistant Professor, Department of Computer Science & Technology, Guru Nanak Dev University, Amritsar, India. Mobile Cloud Computing is an accumulation of both Cloud Computing and Mobile Computing. In cloud computing resources are deployed to a client on-demand basis. Mobile cloud computing is similar to cloud computing except that some devices involved in mobile cloud computing should be mobile. The demand for MCC has been increasing due to its scalability, reliability, high QOS (Quality Of Services), longer battery life, large storage capacity. Mobile cloud computing aims to take benefit of limited resources provided by a cloud provider. Task scheduling is a major concept involved in executing a task. In cloud computing job scheduling is required to execute each job without any deadlock. But the scheduling of dependent tasks is a problem in cloud systems. This problem is an NP-complete problem and can be solved using various heuristic and meta-heuristic approaches. These approaches give high-quality solutions with reasonable execution time. Particle Swarm Optimization (PSO) is one of these meta-heuristic approaches that solve the problem of grid scheduling. In this paper, we address the problem encounter in dynamic scheduling. In dynamic scheduling, each task has its own deadline completion time. The task that arrived earlier in the system occupied the resources first and later arrived tasks are rejected because their execution time exceeds the deadline. In this paper, we proposed PSO with a variable job identifier that identifies independent and dependent tasks from the population. The particles are arranged with a grid dynamically and influence swarm to minimize execution time and waiting time simultaneously. The experimental studies show that the proposed approach is more efficient than other PSO based approaches as described in the literature. 04 30 2020 1600 1606 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4511.049620 https://www.ijitee.org/portfolio-item/F4511049620/ Department of Computer Science, Bharathidasan University/ Government Arts College/ , Karur, India. K. Kanimozhi* Dr.K. Thangadurai Department of Computer Science, Bharathidasan University/ Government Arts College/ , Karur, India. This work deals with the E-voting system with a biometric concept that will make the voting system smart, secure and easy to vote which can be linked with Aadhaar card. While the process of doing the Aadhaar enrolment process Authorities gathered information of fingerprints and iris of every character and this whole fact of every person persists in the Indian government database. However these two biometric is not enough for the voter authentication process, besides improving the recognition rate, combining multimodal biometric modalities might be more appropriate for E-voting applications. If the Indian Government link this database to the voter ID present in these days vote casting gadget, then all of us can easily forge their votes the use of multimodal biometric authentication. With this motivation, the new Aadhaar with multimodal biometric-based E-voting systems (AMBEVS) system is designed in this work and it allows users to be confirmed using either modality. Here the validation of the voters is verified with the use of Dynamic Hybrid ANFIS-PSO. A critical function and objective of the proposed gadget are to decorate the photograph high-quality and low diploma of complexity for the security of multimodal biometric reputation frameworks. The experimental results show that the proposed AMBEVS are more robust, reliable and accurate as compared to the unimodal based biometric systems. 04 30 2020 1416 1421 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4529.049620 https://www.ijitee.org/portfolio-item/F4529049620/ Department of Computer Science and Engineering, IKG Punjab Technical University, Jalandhar, India. Diksha* Dinesh Gupta Department of Computer Science and Engineering, IKG Punjab Technical University, Jalandhar, India. The data revolution in medicines and biology have increased our fundamental understandings of biological processes and determining the factors causing any disease, but it has also posed a challenge towards their analysis. After breast cancer, most of the deaths among women are due to cervical cancer. According to IARC, alone in 2012 a noticeable number of cases estimated 7095 of cervical cancer were reported. 16.5% of the deaths were due to the cervical cancer with the total deaths of 28,711 among women. To analyze the high dimensional data with high accuracy and in less amount of time, their dimensionality needs to be reduced to remove irrelevant features. The classification is performed using the recent iteration in Quinlan’s C4.5 decision tree algorithm i.e. C5.0 algorithm and PCA as Dimensionality Reduction technique. Our proposed methodology has shown a significant improvement in the account of time taken by both algorithms. This shows that C5.0 algorithm is superior to C4.5 algorithm. 04 30 2020 1531 1535 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4530.049620 https://www.ijitee.org/portfolio-item/F4530049620/ CSE, V R Siddhartha Engineering College, Vijayawada, India. Susmitha Peeka* Sabiya Tabassum CSE, V R Siddhartha Engineering College, Vijayawada, India. Dhanushya Pallem CSE, V R Siddhartha Engineering College, Vijayawada, India. Sowmya Aravapalli CSE, V R Siddhartha Engineering College, Vijayawada, India. Dr. M. Sobhana Sr. Assistant Professor, CSE, V R Siddhartha Engineering College, Vijayawada, India. Analyzing information from social media sites could bring great challenges and opportunities to solve many real time problems. It gives the public opinion about almost every product, personality or any service. The data from social networking sites is more accurate and useful to analyze the public sentiment about the trending topics. The activity of analyzing opinions, sentiments and also the subjectivity of data that is provided, is called sentiment analysis. Tweepy is an easy-to-use python library which is used to extract source data from twitter. From these tweets, features are extracted and then classified using Naïve Bayes algorithm to identify sentiment. This aims to provide an interactive automatic system which predicts the sentiment of the tweets posted in social media using python in real-time. These applications of sentiment analysis are broad and they tend to be very useful in today’s lifestyle. It will evaluate people's sentiment about the trends, entertainment, political issues and products which helps to improve marketing strategies with the help of hashtags, keywords etc. 04 30 2020 1868 1872 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4533.049620 https://www.ijitee.org/portfolio-item/F4533049620/ Student of Mechanical Engineering Department, Koneru Lakshmaiah Education Foundation, Guntur, India. Ghanta Vamsi Krishna* Dr. Seeram Srinivasa Rao Professor of Mechanical Engineering Department, Koneru Lakshmaiah Education Foundation, Guntur, India. Bolisetty Venkata Neerav Student of Mechanical Engineering Department, Koneru Lakshmaiah Education Foundation, Guntur, India. Gattupali E.N.M.S. Satyasai Student of Mechanical Engineering Department, Koneru Lakshmaiah Education Foundation, Guntur, India. Vangavolu Yaswanth Student of Mechanical Engineering Department, Koneru Lakshmaiah Education Foundation, Guntur, India. There are mainly five steps in agriculture that are plowing, seeding, watering, tuning, harvesting. In this project, we are going to mainly focus on Boring, where a robot with the help of the drilling tool attached at its rear side will be used to remove the soil for the plantation. Secondly comes plantation, here the person will carry out plantation at desired places. Then comes the maintenance of the crop in which the amount of watering, sunlight, pesticide, fertilizer required for the healthy growth of the plant is controlled by the robot with help of electronic circuits present inside a robot. Then we focus on tuning operation, this module will be taken care of by cutters attached to the robot. Finally, fruit picking operation is done by a three-hand jaw attached to a robot which will be used to pick the fruits. Another additional module is a sample of soil that will be taken and processed with different chemicals and give us output as deficient nutrients in the soil and fertilizers to be added to make soil fertile land and suitable atmospheric conditions for the crop 04 30 2020 1791 1798 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4535.049620 https://www.ijitee.org/portfolio-item/F4535049620/ Kyiv National University of Construction and Architecture, Kyiv, Ukraine Denys Chernyshev Andrеy Klochko Department of Architectural Structures, Kyiv National University of Construction and Architecture, Kyiv, Ukraine Svitlana Terenchuk* Department of Information Technology Design and Applied Mathematics, Kyiv National University of Construction and Architecture, Kyiv, Ukraine Viktoriia Ternavska Department of Labor Protection and Environment, Kyiv National University of Construction and Architecture, Kyiv, Ukraine Vitalii Zapryvoda Department of Architectural Structures, Kyiv National University of Construction and Architecture, Kyiv, Ukraine The research is aimed at overcoming the uncertainties associated with the reform of legislation regarding the technical regulation of the building industry. The main goal of the paper is to systematize the normative base of building of Ukraine in the conditions of adaptation of normative documents to the requirements of the European Union. In order to achieve this goal, an analysis of the peculiarities of the information resource of the normative base was conducted and the nature of the uncertainty contained in the normative documentation of the industry was investigated. The status of modern electronic databases of normative documentation in the building and building materials industry of Ukraine is described. The scheme for identifying different documents on the same issue is proposed. The possibility of applying models and methods of fuzzy mathematics to formalization of texts of building norms and rules and expression of their semantics in the internal language of the Semantic Text Information Analysis System is shown. The practical value of the paper is seen in the improvement of the organizational and technical system "Technical Regulation in Building" by minimizing the number of regulations on the same issue and achieving consistency between normative. The paper's scientific novelty of is to apply the model of artificial intelligence to the solution of the problem of semantic analysis of documents contained in electronic bases of normative documentation of the system of technical regulation in building. The capability of artificial neural networks of the ImegNet category to solve the problem of semantic analysis text documents of Building Normative Base is proved Further researches will focus on forming the Text Information Semantic Analysis System knowledge base and adapting the Deep Structured Semantic Model to the task of assessing the degree of closeness between a Semantic Request and a Semantic Normative Document. The results can be used to improve other workflow systems. 04 30 2020 1873 1879 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4537.049620 https://www.ijitee.org/portfolio-item/F4537049620/ Department of ECE , KITS,Warangal Ramudu Kama* Dr.G.Raghotham Reddy Department of ECE , KITS,Warangal In this paper, we present a novel technique called spatial kernel fuzzy clustering with adaptive level set approach for Oil spill image segmentation. The proposed method is diversified into two stages; in the first stage the input is pre-processing by Spatial Kernel Fuzzy C-Means clustering (KFCM) to improve the clustering efficiency and less sensitive to noise. In the second stage, it necessary to use the level set method to refine the previous stage segmentation results. The performance of the level set segmentation is subjected to proper initialization and optimal formation of directing parameters. The controlling parameters of level set evolution are also projected after the results of kernel fuzzy clustering. The proposed method, spatial kernel fuzzy adaptive level set algorithm is enhanced the local minima problem. Such developments enable level set handling and more strong segmentation. The results confirm its effectiveness for oil spill images over the conventional CV model i.e number of iterations, Computational time and PSNR 04 30 2020 1581 1587 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4540.049620 https://www.ijitee.org/portfolio-item/F4540049620/ Professor, Department of Electronics and Communication Engineering, M.Kumarasamy College of Engineering, Karur, India M. Dhamodaran* R. Prema PG scholar, Department of Electronics and Communication Engineering, M.Kumarasamy College of Engineering, Karur, India In this paper Sense Amplifier is analyzed the basic and fundamental operational block in the Static Random Access Memory. The function of the sense amplifier is to amplify the small signal bit line voltages into high voltages. In the existing literature survey, there are many methods available for designing the sense amplifier. In this paper, the cross-coupled sense amplifier is modified into a 4T based sense amplifier. The proposed scheme also developed for capacitive offset correction based sense amplifier. The existing and proposed designs of SA are briefly examined in this paper. The proposed design is implemented in the linear predictive technology model. The parameters like power and energy. The proposed scheme shows the better results compared to the existing method. 04 30 2020 1536 1543 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4542.049620 https://www.ijitee.org/portfolio-item/F4542049620/ Dept. of CSE, Gitam University, Bangalore, India. Beena G Pillai* Madhurya J A Dept. of CSE, Gitam University, Bangalore, India. The Blockchain is a release and dispersed ledger. Latest communications and information can be added on to a blockchain but precedent information cannot be obliterated. The Blockchain operation connecting two or more parties is confirmable and everlasting verification of information. In present system A BaaS platform which grant blockchain tune-up over cloud computing system exploitation and method supervising, smart convention investigation with analysis. This research work nearby consistency of BaaS communications. Looking for more exhaustive and adaptable assessment technique for BaaS communications. Transaction through blockchain technology is more secure and reliable, and it collaborate with decentralized cloud computing will get more reliability. The proposed investigation exertion can affect merkle tree in the deliberated algorithm on smart convention presentation optimization and involuntary refurbish. In this system merkle tree allows competent and protected authentication of huge data structures. Our proposed system include a trusted authority or a cloud provider to become a distribute service provider. Each dealer sends their IoT data with communication integrity, authentication code to the cloud server. Every consumer gives to the proceedings they are concerned in on the cloud. Every supplier becomes authenticated data generator on the cloud. Like this, examination contributors otherwise the users know how to optimize applicable apparatus or obtain equivalent defensive procedures according to the evaluation results. The smart contracts deployments and function calls within that block get executed on the node that mines the block cloud based IoT ecosystem proposed by many companies. All IoT devices communicate to the cloud and get global state info from the cloud. Blockchain technology integrated with cloud avoids cyber attack on cloud. 04 30 2020 1544 1549 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4544.049620 https://www.ijitee.org/portfolio-item/F4544049620/ Department of Information Technology, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India. Ashok kumar S* Santhosh V Department of Information Technology, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India. Saranyadevi S Department of Information Technology, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India. Vikranth Krishna E Department of Information Technology, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India. This system is aimed toward developing a central recruitment process system for the HR Group for an organization. This system is fully supported by recruiting a candidate for a job supported their performance within the interview and their test scores are analyzed to predict their basic salary once a year. Some features of this system are getting to be creating vacancies for candidates, storing application data, and Scheduling interviews, Interview process initiation, storing Interview results for the candidate and eventually Hiring of the candidate. Reports could even be required to be generated for the use of the HR group. This project “Hiring Dataset Analysis” could also be a windows application during which the candidate details store by admin then attends the drive. Supported the results of the qualification the job seekers are getting to be shortlisted. For freshers, the drive is getting to be conducted at some venue after the shortlisting of the chosen candidate. The tiny print of the particular company drive, venue & Date of the examination are getting to be made available to them through the online site. Functionality and Features of the candidate profile, posting new recruitment programs by company, publishing new carrier guidance placement programs by Admin, Viewing Resumes by company, Viewing payment by candidate, Company profile management. 04 30 2020 2194 2197 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4545.049620 https://www.ijitee.org/portfolio-item/F4545049620/ Research Student, School of Business and Technology, Aspen University, United States. Selva Lakshmanan* Dr. Madasamy Sornam Ph.D., Professor, Department of Computer Science, University of Madras, India. Dr. Jimmie Flores Ph.D., D.M., Dean, School of Business and Technology, Aspen University, United States. Big data analytics refers often a very complex process to examine the large and varied data sets to provide the organization to take smarter decisions and better results. Big data analytics is a form of advanced analytics including predictive, prescriptive models and statistical algorithms. The prescriptive analytics is a later stage of the Big data analytics which is not just anticipating what the event will happen as in the predictive analytics but also suggests the decision options and consequences of the decision. The paper addresses the survey of prescriptive analytics and the importance of prescriptive analytics. The prescriptive analytics techniques and methods include machine learning, operation research/management science, optimization techniques, mathematical formulation, and simulation techniques and methods. The paper discusses the techniques and methods, frameworks, and domain applications of prescriptive analytics. 04 30 2020 1422 1427 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4546.049620 https://www.ijitee.org/portfolio-item/F4546049620/ Department of Electronics and Communication Engineering, Guru Nanak Dev University, Regional Campus, Jalandhar, India Manjit Singh* Amandeep Singh Sappal Department of Electronics and Communication Engineering, Punjabi University Patiala India The growth of optical systems is stimulated for high channel capacity and high bandwidth to meet the explosive development in data communication. Most of the voice and data traffic is transmitted through optical fiber link in these days. In order to share the large bandwidth of optical fiber by multiple channels of different wavelength with higher data rate WDM networks are used. The performance WDM networks are highly effected by the nonlinear dispersion which needs to be managed. In this paper the performance of WDM optical network is analyzed by using Dispersion compensation fiber, fiber bragg grating, and polarization controller. It has been concluded from the results that the use of polarization controller provides the high quality output as compare to Dispersion compensation fiber, fiber bragg grating for each channel. 04 30 2020 1550 1552 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4548.049620 https://www.ijitee.org/portfolio-item/F4548049620/ Computer Science and Engineering, GITAM University, Bengaluru, India. Manogna M* Rachana N Sai Computer Science and Engineering, GITAM University, Bengaluru, India. Nikita P Computer Science and Engineering, GITAM University, Bengaluru, India. Nishanth N Computer Science and Engineering, GITAM University, Bengaluru, India. Priyanka Sinha Assistant Professor Computer Science and Engineering, GITAM University, Bengaluru, India. Food is the most vital thing for every human being living on earth and also plays an significant role in our lives. All the same many diseases are caused by the ingestion of unhealthy and rotten food. India is a developing nation consisting of 1.37 billion people. The ingestion of safe food is the most important requirement.This paper explains the use of different sensors for detecting the food quality. This device uses a temperature and humidity sensor along with pH, gas sensors. The Blynk program helps with knowing the values gathered from sensors. This sensor system can also be implemented in common households, and food consumption made easier using the Blynk application. 04 30 2020 1553 1555 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4550.049620 https://www.ijitee.org/portfolio-item/F4550049620/ Department of Computer Engg. And Technology, Guru Nanak Dev University, Punjab, Amritsar, 143001, India Kiranbir Kaur* Dr. Sandeep Sharma Department of Computer Engg. And Technology, Guru Nanak Dev University, Punjab, Amritsar, 143001, India Dr. Karanjeet Singh Kahlon Department of Computer Science And Technology, Guru Nanak Dev University, Punjab, Amritsar, 143001, India A new paradigm to cater to the demand for increasingly complex software systems and to shape the way software applications are developed, has emerged, called Cloud Computing. Evolved from the already prevailing and established technologies such as web services, SOA (Service Oriented architecture), virtualization, grid, and cluster computing, Cloud computing proved it to realize the dream of transforming computing as a utility to the customers. Applications developed at Platform as a Service level (Infrastructure as a Service and Software as a Service being the other two levels) face vendor lock-in issue as the proprietary and non-standard APIs offered by providers results in a lack of interoperability and portability among cloud providers. This paper reports on an experiment done to assess the difficulties encountered while porting an application that uses various SQL and NoSQL data stores, message queue service and blob storage of Microsoft Azure, Amazon Web services and Google Cloud platform among each other. The heterogeneity of the incompatible proprietary interfaces makes the porting a non-trivial task. Various problems faced during the portability of the application are discussed and a middleware solution approach to these problems is proposed in this paper. 04 30 2020 1799 1804 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4551.049620 https://www.ijitee.org/portfolio-item/F4551049620/ Lakireddy Balireddy college of Engineering, Mylavaram, India. N. Susmitha* T. Revanth Lakireddy Balireddy college of Engineering, Mylavaram, India. S.Anvesh Reddy Lakireddy Balireddy college of Engineering, Mylavaram, India. P.Sobha Rani Lakireddy Balireddy college of Engineering, Mylavaram, India. Squirrel cage Induction motors are useful in constant speed and variable frequency drives applications because they are self starting and have high overload capacity. Though they are self starting, their design limits corresponding to torque should be large to meet the actual load conditions. To get optimum performance of motor, it needs unique design characteristics. Design of machines is a time consuming process. Proper methods are required for designing. ANSYS software is being used in recent times for designing electrical machines. In this paper, RMxprt tool box is used to design induction motor and its performance is analyzed using ANSYS Maxwell. In RMxprt, the induction motor's geometric model is designed and analyzed .In this model the machine rating is of 1100W with a rated speed of 1450 rpm and with rated voltage of 330V. With the help of this design, squirrel cage induction motor performance in terms of torque, power, efficiency, voltage and current can be analyzed for any rating. 04 30 2020 2002 2007 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4556.049620 https://www.ijitee.org/portfolio-item/F4556049620/ PG Student, Dept of CS and IT, Amrita School of Arts and Sciences, Kochi, INDIA Rasmiya Najeem* Shahnaz K Nassar PG Student, Dept of CS and IT, Amrita School of Arts and Sciences,Kochi, INDIA Nima S Nair Asst Professor, Dept of CS and IT, Amrita School of Arts and Sciences, Kochi, INDIA, At the current era Security and Protection is of vital significance. While there is no system that is immune to attack, a steady and effective system-security-framework is fundamental to ensuring the protection of data. On a fundamental-level, we are living in a more technologically advanced world than we were as of a decade ago. This rise in the broad utilization of technology carried with it and ascent in network attack. Networked PCs have taken over practically all parts of our lives, they store and deal with a ton of data that whenever traded off could bring about critical results. Secure Sockets Layer and Transport Layer Security(SSL/TLS) are presently broadly embraced innovation to give security. SSL/TLS convention is made to give privacy to delicate data trade over the Web. They can be used to secure secrecy and protection however can in like manner be used to shroud vindictive exercises. Regardless, assurance right now in all the information being scrambled independent of whether the information is malignant or not. The SSL-Attackers don’t utilize a particular system for the assault, the attacker may attempt to stick the system by making superfluous-traffic. Using Anomaly-Detection-technique we find the outliers by analyzing the data-captured using Wireshark and identify any possible attack on the network. For detecting outlier in the traffic we have used ABOD technique contained in the PyOD-library, which is an open-source toolbox provided in Python for identification of anomaly on multi-variate information. Anomaly-Based-Detection is a practical and realistic option for identification of attack against security-convention. 04 30 2020 1703 1706 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4557.049620 https://www.ijitee.org/portfolio-item/F4557049620/ School of Computer Science and Engineering, Galgotias University, Greater Noida, India. Tanaya Singh* S. Srinivasan department, School of Computer Science and Engineering, Galgotias University, Greater Noida, India. Polycystic Ovary syndrome is a disorder that many women faces during their reproductive age, due to this they suffer from diabetes, infertility and high blood pressure. Diagnosis of this disorder is mainly done through various types of screenings like ultrasound images. Imaging is the most important factor in the diagnosis, through ultrasound images the follicles generated and cysts formed are easily affected. Although, this is the best method for diagnosis, the main concern is the symptoms shown by this disorder are many times ignored because symptoms like acne, hair loss, and weight gain can also be the causes of some other problem and this leads to the PCOS getting more severe. This paper can be said as a prevention measure or as an alert that one needs to visit hospital for screening. It will help female to recognize the symptoms at early age so that they can take required steps toward the cure. The proposed work is based on the images obtained after ultrasound and how the noises that occur in them can be removed by various methods like data mining, machine learning algorithms. This paper will provide the overview of predicting the disorder using symptoms as parameters through genetic algorithm and back propagation algorithm in neural network. Since, genetic algorithm and back propagation algorithm is known for their accuracy can produce better results. 04 30 2020 1805 1808 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4562.049620 https://www.ijitee.org/portfolio-item/F4562049620/ Master In Computer Science And Engineering From VTU Belgaum, Karnataka, India. Asha G, R. Hema Sumanth* R. Hema Sumanth Master In Computer Science And Engineering From VTU Belgaum, Karnataka, India. A. China Venkat Chowdary Pursuing Final Year B.Tech Degree In Computer Science And Engineering From GITAM University, Bengaluru, India. A. Shashank Pursuing Final Year B.Tech Degree In Computer Science And Engineering From GITAM University, Bengaluru, India. T. Sravan Pursuing Final Year B.Tech Degree In Computer Science And Engineering From GITAM University, Bengaluru, India. Image caption generator means it will generate a description for the images. It will predict what is happing in the images. We make our model using a hybrid CNN-RNN model in which in the CNN part of the model we use inception model for transfer learning and RNN is majorly used for language modeling. We use Flickr8k Dataset for training and testing the model. We use LSTM model in RNN to avoid the problem of vanishing or exploding gradient in the training phase. 04 30 2020 1707 1709 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4566.049620 https://www.ijitee.org/portfolio-item/F4566049620/ Department of Chemical Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu, India. Dr. Sourav Poddar* During the last decagon, there has been expanding international worry over the rise of anthropogenic CO2 discharge into the Earth’s atmosphere. The application of CO2 into a valuable asset is a major concern. The generation of syn gas and then usage of the syn gas into liquid fuel, seems to be one of the promising options in terms of industrial employment, as it offers several advantages: (a) reduction of CO2, (b) conversion of gases, specially bio-gas, natural gas, LPG, and etc. and CO2 into syngas (c) producing syngas with H2/CO2 ratio 1:1.9 to 1:2.1 which may further be used for the generation of valuable petrochemicals. The present research focusses on the gas to liquid conversion using the simulating software, Aspen Plus ®. The outcomes are then subjected to Design Expert ® for calculation of the optimal generation rate. The feedstocks used for the proposed present examination are bio-gas or pyro-gas, natural gas and LPG. The research scheme, gas to liquid conversion is carried out using three steps: (a) gas (feedstock) to syngas from the combination of dry reforming and steam reforming of methane, (b) Fischer Tropsch process to produce long chains of hydrocarbons and (c) usage of unconverted CO and H2 and other alcohol derivates in the CHP unit for the production of electricity. Amongst all the feedstocks natural gas production or generation is maximum followed by bio-gas or pyro-gas and then LPG. Due to non-available resources of natural gas and generation of GHG emission, for countries like India, bio-gas or pyro-gas can be used as a promising sustainable feedstock for reducing GHG emission and global warming. The outcomes of Aspen Plus ® of biogas or pyro-gas are then subjected to Design Expert ® for the prediction of the maximal production. It can be confirmed that with 6997.54 kg/h of biogas flowrate and 99.39% recycling of CO2, the production of green gasoline, green diesel and green waxes are 565.24 (kg/h), 545.45(kg/h) and 642.68 (kg/h) respectively. The outcomes are in good agreement with the theories, thus proving the process to be a realistic one in nature. Therefore, bringing its viability for India in terms of reduction in CO2 emission and development of gas to liquid conversion process. 04 30 2020 1428 1436 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4569.049620 https://www.ijitee.org/portfolio-item/F4569049620/ Professor and Director of Directorate of Jan Shikshan and Extension, J.R.N. Rajasthan Vidyapeeth (Deemed University) , India. Prof. Manju Mandot* Mr. Prashant Vats Ph.D. in CSE from Banas anasthali Vidyapith, Rajasthan, India. In this paper we have presented an automated unified approach called AVISAR for the testing of the Object-oriented Systems (OOS) by Test Case Prioritization (TCP) & their selection using Genetic Algorithm for the OOS. The testing of OOS has become a more challenging task as nowadays it has been widely accepted as a paradigm for large-scale system designing. In this research paper we have also studied the Genetic algorithms in relation to their applications for providing solutions to the various aspects of the OO Testing. As a result after implementing the tool AVISAR using GA’s it has proven to be useful in providing effective solutions to resolve the issues related to the OO Testing domain. Thus it can be used for reducing the efforts of the users for testing by efficient selection of effective test cases. 04 30 2020 1556 1563 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4570.049620 https://www.ijitee.org/portfolio-item/F4570049620/ School of Electronics & Communication Engineering, Vellore Institute of Technology, Vellore, India Budhaditya Bhattacharya* Prakhar Jain School of Electronics & Communication Engineering, Vellore Institute of Technology, Vellore, India. Sudeshna Das School of Electronics & Communication Engineering, Vellore Institute of Technology, Vellore, India. Cardiovascular diseases (CVD) has emerged as one of the major causes for death in all over the world. This paper displays a framework to remotely screen, health of Cardiovascular disease affected patients utilizing Machine to Machine (M2M) innovation which is a part of the project called CySician . Real time patient health monitoring system is advantageous to the patients and society as it will significantly reduce medical charges, waiting time for patient and improve patient handling capability of any hospital. In this patient health monitoring system pulse rate, ECG, body temperature, Body Mass Index(BMI) and general clinical interrogation is finished by a chatbot named “LifeBot”. The primary components associated with this project are pulse sensor, Raspberry Pi 3B+ (processing unit), temperature sensor module sensor, utilizing Machine Learning (ML) calculation it automatically analyzes the accumulated information to propose prescription to the patient. After the patient is diagnosed and the disease is detected, the patient will be notified with the kind of medication he needs. If the problem is nominal, the patient will be suggested with a basic treatment and will be monitored regularly. If the problem is of major scale, the patient will be directed to the payment gateway where he will be asked to pay a nominal fee for appointment from doctors to continue his check-up .Ultimately, the final well-being report is displayed to the doctor on the User interface that is visible on PC/Laptop. 04 30 2020 1809 1813 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4571.049620 https://www.ijitee.org/portfolio-item/F4571049620/ Research Scholar, Department of CSE, Sahyadri College of Engineering & Management, VTU-Belagavi, Mangalore, Karnataka, India Swamy L N* Dr. J V Gorabal Department of Computer Science & Engineering, Sahyadri College of Engineering & Management, Mangalore, Karnataka, India Sentiment Classification is one of the well-known and most popular domain of machine learning and natural language processing. An algorithm is developed to understand the opinion of an entity similar to human beings. This research fining article presents a similar to the mention above. Concept of natural language processing is considered for text representation. Later novel word embedding model is proposed for effective classification of the data. Tf-IDF and Common BoW representation models were considered for representation of text data. Importance of these models are discussed in the respective sections. The proposed is testing using IMDB datasets. 50% training and 50% testing with three random shuffling of the datasets are used for evaluation of the model. 04 30 2020 2198 2201 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4582.049620 https://www.ijitee.org/portfolio-item/F4582049620/ Assistant Professor, Department of EEE, Mahatma Gandhi Institute of Technology, Gandipet, Hyderabad, India. P.Lakshmi Supriya* P.Ram Kishore Kumar Reddy Professor, Department of EEE, Mahatma Gandhi Institute of Technology, Gandipet, Hyderabad, India. Monitoring and estimating the states of the transformer during faulted phase condition is essential to continuity of supply. Varied techniques are proposed for faulted phase detection to improve condition assessment. In this paper, we propose a novel method to detect and classify power transformer faults using wavelet transform Multi Resolution Analysis (MRA) as feature extracted parameter vector and Fire-Fly Algorithm (FFA) based Artificial Neural network training as classification method. The observed Dissolved Gas Analysis (DGA) waveform data is analyzed with wavelet transforms (WT) to identify abnormalities which is supported by MRA. In MRA, the current, voltage and temperature of winding and oil are decomposed into high and low frequency components. The magnitude of components, signifies the feature vector, gives a detection criteria. After detecting feature vector, dominant coefficients of WT can be used to train the ANN with FFA based learning algorithm. Different types of faults are created on transformer such as Single Line-Ground (SLG), Line-Line (LL), Double Line-Ground LLG, Three phase fault (LLLG) for the analysis using WT and ANN. The detection and classification of the fault signal are executed and examined in different winding location and different fault conditions. Finally, the presented precise model recognizes the faults based on performance metrics with high classification accuracy for various classes. 04 30 2020 1880 1884 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4589.049620 https://www.ijitee.org/portfolio-item/F4589049620/ Electronics and Communication Department, Delhi Technological University, Delhi, India. Riya Jain* Neeta Pandey Electronics and Communication Department, Delhi Technological University, Delhi, India. Power consumption minimization in a circuit becomes imperative with growth in demands of portable goods. However, at the same time, its speed limits the performance of a system. Therefore, there is a need of choosing optimum circuit architecture that takes into account the both conflicting parameters, that is, power dissipation and speed. Arithmetic unit is one of the vital components of portable goods and out of all arithmetic operations, adders are the most commonly used. To address the issue of high power dissipation, low-power designing styles are becoming prominent now-a-days. Hybrid Dynamic Current Mode Logic is high-speed, low-power designing style that has been recently proposed in literature. Therefore, this paper presents the comparison between performances of various topologies of adders that are implemented using a high-speed, low-power designing style: Hybrid-Dynamic Current Mode Logic (H-DyCML). All the circuits are realized in Cadence Virtuoso using 180nm CMOS technology parameter. Various performance parameters are evaluated such as: Delay, Power, Power-Delay Product, and hardware utilization. It is found that carry look-ahead adder out-stands other adders in terms of overall performance. 03 30 2020 1885 1891 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4592.049620 https://www.ijitee.org/portfolio-item/F4592049620/ PG scholar in Physics at Amrita Vishwa Vidyapeetham Amritapuri Campus, kollam under Amrita University,Kerala,India Gopika. S* Thin film capacitor using Aluminium (Dielectric-Barium Titanate) and pelletized Copper, MnO2 (Dielectric-BaTiO3) capacitors as substrates were constructed. The objective of this research was to develop a capacitor having high capacitance and dielectric strength. The attention was focused on the high dielectric strength of BaTiO3 and high capacitance of MnO2, so that we can develop a good capacitor. The dependence of stacked and single forms of above capacitors with respect to various electrical parameters were analysed using LCR meter. On the basis of graphs plotted for various electrical parameters such as impedance, quality factor, dissipation factor, conductance, series and parallel capacitance were analysed from the above graphs. By analysing the comparison between Aluminium (Dielectric-Barium Titanate) single and stacked forms the conclusion that I arrived was that stacked form is more preferable over single forms. Taking consideration of copper, MnO2 (Dielectric-BaTiO3) capacitor stacked forms were found to be better than single forms. Thus it was clear that the stacked form of Aluminum (Dielectric-Barium Titanate) and stacked forms of copper, MnO2 (Dielectric-BaTiO3) capacitor is more preferable while using as capacitors. Although a variety of renewable energy technologies as well as new storage devices have been developed, they have not reached wide spread use. Therefore, there is a strong need of development of improved methods for storing energy when it is available and retrieving when it is needed. The ability to store energy when it is produced is an essential waypoint on the road to turning alternative energy into regular energy. This problem of storage can be solved by supercapacitor. It is an emerging technology in the field of electrical energy storage and its use along with battery or fuel cell is viewed as a solution in many portable systems. 03 30 2020 2223 2231 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4595.049620 https://www.ijitee.org/portfolio-item/F4595049620/ Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, India Kalliath Abdul Rasheed Issam Shivam Patel* Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, India. Subalalitha C. N. Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, India. Text summarization is an approach for identifying important information present within text documents. This computational technique aims to generate shorter versions of the source text, by including only the relevant and salient information present within the source text. In this paper, we propose a novel method to summarize a text document by clustering its contents based on latent topics produced using topic modeling techniques and by generating extractive summaries for each of the identified text clusters. All extractive sub-summaries are later combined to generate a summary for any given source document. We utilize the lesser used and challenging WikiHow dataset in our approach to text summarization. This dataset is unlike the commonly used news datasets which are available for text summarization. The well-known news datasets present their most important information in the first few lines of their source texts, which make their summarization a lesser challenging task when compared to summarizing the WikiHow dataset. Contrary to these news datasets, the documents in the WikiHow dataset are written using a generalized approach and have lesser abstractedness and higher compression ratio, thus proposing a greater challenge to generate summaries. A lot of the current state-of-the-art text summarization techniques tend to eliminate important information present in source documents in the favor of brevity. Our proposed technique aims to capture all the varied information present in source documents. Although the dataset proved challenging, after performing extensive tests within our experimental setup, we have discovered that our model produces encouraging ROUGE results and summaries when compared to the other published extractive and abstractive text summarization models. 04 30 2020 1710 1719 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4611.049620 https://www.ijitee.org/portfolio-item/F4611049620/ Department of Computer Science, GITAM (Deemed to be University), Visakhapatnam, India. Firdous Bano* Sk. Althaf Rahaman Department of Computer Science, GITAM (Deemed to be University), Visakhapatnam, India. Davulury Usharajeswari Department of Computer Science, GITAM (Deemed to be University), Visakhapatnam, India. CT3 (Comprehensive Training Testing and Tracking) is a platform developed for student performance tracking in the training sessions. This software is created for the Training and Placement Cell. By using CT3 we can track everyday performance of the student throughout the training sessions. The students can post their attendance and will receive day to day assessments in the respective training sessions. The students will have pre-training and post-training assessment. The result of the performance from pre-training to post-training assessments, will be displayed in a graph form on the Admin dashboard to track student improvement in the performance. In CT3 the module which we are dealing with is the Placement Module. In this module the admin can add the company which have the new job post for the students. The admin has to add description of the job post, company name, interview date, eligibility criteria and all the necessary information. Once the job post is done the notification will be send to all the student who are eligible. Here the student detail will be uploaded in a bulk using excel file and the system will filter those students who are eligible for the job post automatically. Company details will be mapped with eligible students so that whenever an opportunity come the student can be notified. 04 30 2020 1564 1566 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4613.049620 https://www.ijitee.org/portfolio-item/F4613049620/ (Asst.prof)*, Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, Puducherry. C. Kalpana Atchaya. G Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, Puducherry. Suprapraba. S Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, Puducherry. Suruthi. N Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, Puducherry. Sindhuja. S Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, Puducherry. The era of smart homes wouldn’t be complete without intelligent refrigerators. Thus we have proposed an idea for detecting the food kept in the refrigerator and alerting the user on their spoilage which involves all the processes of ML and IoT. In places where large stocks of food are stored, manual maintenance is very hard and also when they are transported to long distant places from the cultivated lands to the end-users, they get spoiled due to lack of governance. The existing systems have provided a solution for this and we decided to give this facility for the working women who have very little time to do their household. This system helps in preventing other items in the refrigerator from the fungal attack caused by the affected ones. The solutions provided by the existing systems recommend sensors to detect the food items. Each food item might need a different sensor and hence this might lead to a lot of hardware components to be added to the refrigerator. Thus our system uses ML prediction methods like image processing. Finally, the notification of the spoiled food is intimated to the user by displaying the message in the refrigerator door. 04 30 2020 1720 1725 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4615.049620 https://www.ijitee.org/portfolio-item/F4615049620/ Computer Science and Engineering, Kalyani Government Engineering College, Kalyani, India. Arnab Dey* Sudhanshu Jain Research Department, Nandyavart Consultancy Services, Chandigarh, India. In the fast lifestyle of today where work and learning consumes most of people's time. We through this paper look forward to providing further convenience to people through automated locking of house doors on detecting no person inside the house. This will ease pressure on the mind to lock or unlock the gate and carry keys or keep track of the digital system installed in the required events of leaving home or coming back. We recommend a thermal camera along with artificial intelligence means to detect humans inside the house and take action accordingly. If no human is found inside the house and no member(s) are facing the door then lock doors immediately. System of face detection and recognition of member(s) to unlock the house in the event of returning or going back inside the house is to be incorporated as well. 04 30 2020 1437 1443 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4622.049620 https://www.ijitee.org/portfolio-item/F4622049620/ Department of Computer Science and Engineering, SRM-IST,Kattankulathur,Kancheepuram,India. Dr. S. Babu* Kushagra Singh Bisen Department of Computer Science and Engineering,SRM-IST,Kattankulathur,India. Himanshu Chaubey Department of Computer Science and Engineering,SRM-IST,Kattankulathur,India. In this study project, we deal with the application of sentimental analysis on a dataset consisting of tweets. We implement a number of machine learning and deep learning frameworks to perform the analysis. In the end, we use a majority based method to show 4 of our best models for the dataset to achieve the best result. 04 30 2020 1726 1729 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4626.049620 https://www.ijitee.org/portfolio-item/F4626049620/ CSE, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India Mageshkumar C* Balakrishnan A CSE, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India. Dhanasekaran S CSE, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India. Gaddam Mahesh CSE, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India. Pinkesh Khanna K CSE, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India. for most city travelers, the arrival time of busses is the key detail. Excessively long waiting times at bus stops also deter and make relevant travelers from taking buses. In this paper, a method of bus arrival time prediction is presented based on participatory passenger sensing.With commodity cell phones,the local environmental history of bus passengers is effectively gathered and used to predict bus travel routes and forecast bus arrival times at different bus stops. The proposed program relies entirely on the participating users 'joint efforts and is independent of the bus operating companies, In this way, universal bus service support can be effectively introduced without the need for funding from different bus operating companies. The resort to more commonly accessible and energy-efficient sensing devices, including cell tower signals, movement statuses, audio recordings, etc., instead of referring to location information permitted by GPS,Which puts less pressure on the involved party and encourages its involvement. A prototype system is designed with various types of Android based cell phones and an extensive trial duration of 7 weeks with the NTU campus shuttle buses as well as Singapore city buses. The test results indicate that the program proposed achieves excellent predictive accuracy compared to the solutions implemented by certain bus operators and supported by GPS. Further implementing the system and conducting 4-day rapid trials with London bus system, indicating quick implementation of the proposed system and promising city-wide results. At the same time, the proposed solution is available in more general terms and is energy efficient. 04 30 2020 1730 1733 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4628.049620 https://www.ijitee.org/portfolio-item/F4628049620/ Department of Mechanical Engineering, BITM, Ballari-583103, Karnataka, India. Fazil N* V Venkataraman Department of Mechanical Engineering, BITM, Ballari-583103, Karnataka, India. Madeva Nagaral Aircraft Research and Design Centre, Hindustan Aeronautics Limited, Bangalore-560037, Karnataka, India. In the current investigation, the mechanical properties of AA2124-12 wt. % of B4C composites were displayed. The composites containing 12 wt. % of B4C in AA2124 alloy were synthesized by liquid metallurgy method. For the composites, fortification particles were preheated to a temperature of 400˚C and afterward added in ventures of two into the vortex of liquid AA2124 alloy compound to improve the wettability and dispersion. Microstructural examination was carried out by SEM. Mechanical properties of as cast AA2124 alloy and AA2124-12 wt. % of B4C composites were evaluated as per ASTM standards. Microstructural characterization by SEM confirmed the distribution and presence of micro boron carbide particles in the AA2124 alloy matrix. The hardness, ultimate strength, yield strength and bending behaviour of AA2124 alloy enhanced with the incorporation of 12 wt. % of micro B4C particles. Further, ductility of AA2124 alloy decreased with the presence of B4C particles. Tensile fractography were studied on the tested samples to know the various fractured mechanisms. 04 30 2020 1892 1895 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4630.049620 https://www.ijitee.org/portfolio-item/F4630049620/ School of Electronics Engineering (SENSE), B. Tech, Electronice and Communication Engineering with specialization in Internet of Things and Sensors, Vellore Institute of Technology, Vellore, India. Sathya T* Reshi Krish T School of Electronics Engineering (SENSE), B. Tech, ECE with specialization in Internet of Things and Sensors, Vellore Institute of Technology, Vellore, India Monish Kumar MS School of Electronics Engineering (SENSE), B. Tech, ECE with specialization in Internet of Things and Sensors, Vellore Institute of Technology, Vellore, India. Dr. KS Preetha Department of Communication Engineering, School of Electronics Engineering (SENSE), Senior Assistant Professor, Vellore Institute of Technology, Vellore, India. With online shopping and many logistic companies on the rise, a single accident can incur heavy loss to the supply chain department and not only disrupts the flow of the supply chain, but also causes injury to life and damage to property. These accidents occur primarily due to driving while feeling distracted or drowsy and it is paramount to monitor such behavior to avoid drastic outcomes in case of driving heavy duty vehicles. Therefore, it is natural for logistic companies to invest in securing their goods and ensuring that there is safe transportation of goods. The objective of our paper is to provide a novel solution to handle the aforementioned problems by monitoring the driver’s performance by analysing the facial features of the driver in real-time while storing the event-triggered data in the cloud and using the cloud services to send mobile alerts when the driver is drowsy or distracted via a mobile application in a cost effective and in an efficient manner. 04 30 2020 1567 1574 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4633.049620 https://www.ijitee.org/portfolio-item/F4633049620/ Electronics and Communications, Anna University, Chennai, India. Preshanth A R* Rufus Samuel Electronics and Communications, Anna University, Chennai, India. Vasudevan B Electronics and Communications, Anna University, Chennai, India. In today’s world where climate activists focus more on large water bodies like seas and oceans, many smaller water bodies which lie neglected are also being contaminated. These smaller bodies also affect the groundwater, which goes unnoticed. The system checks parameters such as turbidity, temperature and pH levels. In addition to these monitoring, the depth of the water is measured to check whether any unnoticed large dumping/deposition had occurred. It is integrated on a USV so that human intervention is minimized. This system aims to provide continuous quality surveillance of water in places where large scale monitoring is not feasible, with the help of LoRa Communication which ensures low energy consumption and easier to implement compared to IoT technology. It can be implemented in rural as well as urban water bodies to check whether the quality of water has deviated from regular levels due to any external factors. 04 30 2020 1997 1959 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4637.049620 https://www.ijitee.org/portfolio-item/F4637049620/ Research Scholar, Faculty of Technology, RK University, Rajkot, India.& Assistant Professor, Marwadi University, Rajkot, India Krunal Vaghela* Dr. Amit Lathigara Computer Engineering, Marwadi University, Rajkot, India. Dr. Paresh Tanna MCA, RK University, Rajkot, India. Cloud computing or in other words, shared computing is a unique way of sharing resources via the Internet. It combines and extends features of parallel processing, grid computing, and distributed computing. Cloud Computing environments provide a competent way to schedule and process various jobs on remote machines. Rather than relying on local machines, Cloud users access services remotely via high-speed networks. Various users submitting jobs to be processed to Cloud would expect Quality of Service (QoS). So, currently, many researchers are proposing various heuristics that provide QoS to cloud users. The job scheduler is responsible for scheduling various jobs to its best-matched resource to achieve desired QoS. There are Service Level Agreements (SLAs) between Cloud Service Providers (CSPs) and Cloud users, which need to be followed by both the parties. Benefits would be affected in case of not complying with SLAs. In this paper various SLAs like Hard SLA, Best Effort SLA and Soft SLA are proposed. Jobs with required QoS parameters like Reliability, Execution Time and Priority are submitted to the scheduler. QoS of resources is determined by parameters like Reliability, Job Completion Time and the Cost of the resource. Schedulers then assign the Job to the best-matched resource according to specified SLA. Simulation is performed for First Fit and Best Fit heuristic approaches. Performances of both the heuristic approaches are evaluated with performance parameters like Average Resource Utilization (ARU), Success Rate of Jobs (SR) and Total Completion Time (TCT). This research work is useful for various organizations that provide various Cloud services to users who seek different levels of QoS for various applications. 04 30 2020 2202 2207 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4638.049620 https://www.ijitee.org/portfolio-item/F4638049620/ Student, Aerospace Engineering, KCG College of Technology, Chennai, Tamil Nadu, India. Alex T Biju* Immnuel P Student, Aerospace Engineering, KCG College of Technology, Chennai, Tamil Nadu, India. Sarran V Student, Aerospace Engineering, KCG College of Technology, Chennai, Tamil Nadu, India. Sri Venkateshwaran T Student, Aerospace Engineering, KCG College of Technology, Chennai, Tamil Nadu, India. Sundhar Eashwar S K Student, Aerospace Engineering, KCG College of Technology, Chennai, Tamil Nadu, India. M B Bindu Department of Mathematics, KCG College of Technology, Chennai, Tamil Nadu, India. Amrutha R Department of Physics, KCG College of Technology, Chennai, Tamil Nadu, India. Steel specimens were subjected to both tensile tests and hardness tests. The tests were carried out Mild steel .The specimens were tested under various conditions. The maximum hardness was for the specimen quenched with water, however the tensile strength of that particular specimen was the minimum. While the tensile strength was highest for slow cooling and furnace cooling .However the hardness for slow cooling was the least. While furnace cooling was comparatively higher. The other specimens had varied tensile strength and hardness and it was not possible to map a relationship of the two. The motivation for this work has been that the students involved have recently been exposed to material strength and its variation with temperature. 04 30 2020 1607 1610 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4641.049620 https://www.ijitee.org/portfolio-item/F4641049620/ Associate Professor, Department of Mathematics, Chaudhary Charan Singh University, Meerut, India. M. K. Sharma* Nitesh Dhiman Research Scholar, Department of Mathematics, Chaudhary Charan Singh University, Meerut, India. Now a days Novel Coronavirus named COVID-19 becomes major health concern causing severe health issue in human beings and it becomes a pandemic. It’s a kind of zoonotic that means it can transmit animals to humans. It may spread via polluted hands or metals. No specific treatment is available so far for COVID-19, so initial identification and preventions for COVID-19 will be crucial to control or to break down the chain of COVID-19. For this purpose, we have proposed a fuzzy inference system to diagnose the COVID-19 disease by taking six input factor like as; Ethanol, Atmospheric Temperature (AT), Body Temperature (BT), Breath Shortness (BS), Cough and Cold and the output factor has divided into three linguistic categories which denotes the severity level of the infected patients. 04 30 2020 1575 1580 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4642.049620 https://www.ijitee.org/portfolio-item/F4642049620/ Research Scholar, ATME College of Engineering, Mysuru, Visvesvaraya Technological University, Belagavi, India Sayeda Umera Almas* Dr. Puttegowda D Professor and Head, Department of Computer Science & Engineering, ATME College of Engineering, Mysuru, Visvesvaraya Technological University, Belagavi, India Health and wealth of the society is directly proportional to the activities conducted based on healthy personality traits of the citizens and their social behavior’s. Hence, the diagnosis and its preventive measures play a very important role and may be challenge for medical and engineering domains. The proposed paper is trying to analyze the personality traits based on Five Factor Model by processing the twitter dataset. The classification models are trying to give number of solutions corresponding to large amount of data (Big data). Classification technique may predict the personality qualities of the user based on their interaction with the system. This diagnosis may support the society in bringing up healthy environment for better lifestyle of everybody. 04 30 2020 2240 2243 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4643.049620 https://www.ijitee.org/portfolio-item/F4643049620/ Professor and Head, Department of Computer Science & Engineering, Vidya Vikas Institute of Engineering & Technology, Mysuru, Visvesvaraya Technological University, Belagavi, India Dr. Madhu B K Syed Salim* Research Scholar, Department of Computer Science & Engineering, Vidya Vikas Institute of Engineering & Technology, Mysuru, Visvesvaraya Technological University, Belagavi, India Syed Salim*, Research Scholar, Department of Computer Science & Engineering, Vidya Vikas Institute of Engineering & Technology, Mysuru, Visvesvaraya Technological University, Belagavi, India 04 30 2020 2244 2247 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4657.049620 https://www.ijitee.org/portfolio-item/F4657049620/ Assistant professor in Aeronautical Engineering department, Dayananda Sagar College of Engineering, Bangalore, Karnataka, India V.Yamini Anoosha* Kushal D Gowda Department of Aeronautical Engineering, Dayananda Sagar College of Engineering, Bangalore, Karnataka, India. Saathvik Bhat Department of Aeronautical Engineering, Dayananda Sagar College of Engineering, Bangalore, Karnataka, India. Manjunath Sagar Department of Aeronautical Engineering, Dayananda Sagar College of Engineering, Bangalore, Karnataka, India. Vijay Jaya Vignesh Department of Aeronautical Engineering, Dayananda Sagar College of Engineering, Bangalore, Karnataka, India. The paper describes the importance of reducing induced drag built up due to tip vortices which is caused by the lift produced by the aircraft wings. In this paper the effectiveness of boxwing is improved by reducing the induced drag on the boxwing. With this the practicality of boxwing rises to new level.The airfoil impact on the boxwing is studied and different airfoils are selected accordingly. Supercritical airfoils are analyzed and its importance is applied to boxwing as their practicality is observed. Here the effect of different supercritical airfoils when used for the front wing, aft wing and winglet according to their functionality are analyzed in the paper using sophisticated software. Then by selecting a specified commercial aircraft we can check the normal conventional wing computational results comparing the same aircraft with boxwing configuration on it. By this comparison we can determine by what percentage we would decrease the induced drag with the usage of boxwing configuration. The following work is done to ensure that the boxwing is applied into practical aircrafts such commercial aircrafts hence we have used a commercial aircraft as the base to determine boxwing effectiveness in a commercial perspective also. With the results of this paper one can decrease the induced drag to an extent where the uses of the boxwing in commercial aircrafts will exceed that of the conventional winged aircrafts. In future, its application to military aircraft can also be deduced as supercritical airfoils are also being used in fighter jets. 04 30 2020 1966 1972 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4658.049620 https://www.ijitee.org/portfolio-item/F4658049620/ Department of Computer Science and Engineering, V.R.Siddhartha Engineering College,Vijayawada,India. Sruthi Gollapalli* Konatham Jaya Sree Department of Computer Science and Engineering,V.R.Siddhartha Engineering College,Vijayawada,India. Banavathu Kalyani Department of Computer Science and Engineering,V.R.Siddhartha Engineering College,Vijayawada,India. V.V.N.V.Phani Kumar Assistant Professor, Department of Computer Science and Engineering,Vijayawada,India. As the world is running at a faster pace,an individual finds it difficult to take time to get to know the vital information like news updates, weather forecasting ,reminders in order to plan the day accordingly along with getting ready in the morning.Instead of allotting seperate time for the morning updates,an individual can view the updates of required while getting ready in the morning,which saves time. A Smart Mirror is used to display news,time,weather updates and it is based on Raspberry Pi 3B+ and part of home automation .In this we are displaying the content required by the user on monitor and a two way mirror attached to it,which is enclosed in a wooden frame. As part as now,people are usually preferring ‘Multi-tasking’ as it became the usual habit for most of the people.The Smart Mirror aims to display the information to the user like time,date,weather calendar,reminders and news-updates. 04 30 2020 1734 1736 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4702.049620 https://www.ijitee.org/portfolio-item/F4702049620/ B.Tech (Mech. Eng), CMRCET, Hyderabad. P. Sneha* K. Vijaya Krishna Varma B.Tech ( Mech. Eng), Gitam University, Hyderabad, India. S.R. Shiva Kumar B.Tech ( Mech. Eng), Gitam University, Hyderabad, India. B.V.R. Ravi Kumar Professor, Mechanical Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India. M. Venkata Ramana Professor, Mechanical Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India. The corrosive resistant aluminium-magnesium alloy AA 5083-H116 and aluminium-silicon alloy AA 6082-T6 is widely used in ship building, marine and various structural applications. FSW is an emerging solid state joining process suitable for joining the aluminium alloys with minimized formation of weld defects like cracks, porosity etc. compared to other fusion welding processes. This research work presents FSW of EN AA 5083-H116 and EN AA 6082-T6 using skew tool pin profile with the consideration of influential process parameters like tool rotational speed of 710 and 900 rpm at constant traverse speed of 16 mm/min. Radiographic inspection has been performed for evaluating the weldments soundness. From the radiographic results it has been found that at higher rpm i.e at 900 rpm the occurrence of lack of fusion is more compared to the weldment fabricated at 710 rpm. Tensile properties and fractural observations were carried out on the weldments. It has been noted that good mechanical properties were observed with the weldment fabricated at 710 rpm with high tensile strength of 160 MPa. From the fractural observations it has been observed that all the specimens are prone to ductile fracture, besides shear lips were observed at specimens fabricated at 900 rpm. 04 30 2020 1896 1900 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4703.049620 https://www.ijitee.org/portfolio-item/F4703049620/ Department of Information Technology, Mizoram University, Aizawl, India R. Chawngsangpuii* Dr. Prodipto Das Department of Computer Science, Assam University, Silchar, India. Constrained devices are commonly used in the Internet of Things systems. Since these devices have limited communication and computation resources, communication protocols which are lightweight are needed. A lightweight protocol called Message Queue Telemetry Transport, which is a publish/subscribe messaging protocol, is utilized with the constrained devices. Hence, this paper is aimed at monitoring data by using machine-to-machine communication protocol with the help of an IoT device, Raspberry Pi. 04 30 2020 1737 1740 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4705.049620 https://www.ijitee.org/portfolio-item/F4705049620/ Research Scholar,Department of Electronics & Communication Engineering, Jawaharlal Nehru Technological University, Kakinada, AP, India. M. Ravi Kishore* K.C.B. Rao Professor, Department of Electronics & Communication Engineering, University College of Engineering, JNTUK, Vizianagaram, AP, India. A two element array of circular shaped cavity backed substrate integrated waveguide (SIW) based antenna is proposed in this work. The elements are backed by a dielectric cavity of FR4 epoxy and fed by SIW slot coupling mechanism. Keeping the advantages of the conventional waveguides, the bandwidth of the radiation can be increased by choosing proper dimensions to the slots and circular patches. The two element array configuration in the design contributed to the comfortable uplift of the gain. The impedance matching is achieved by inserting a two arm power divider with pre-calculated dimensions. The accurate formulation of the electromagnetic problem of analyzing the SIW antenna is achieved by using integral equation based methods which can be solved numerically. The designed top layer of the antenna is analyzed with well known Method of Moments (MoM) and the results are compared. The functioning of the antenna is compared in terms of Return losses, radiation pattern and gain. The antenna exhibits 72% of bandwidth with peak gain of 4.2dB in the range of 4.4GHz to9.9GHz with the resonating frequency of 7.54GHz and well suited for C-band microwave communication applications. 04 30 2020 1741 1745 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4706.049620 https://www.ijitee.org/portfolio-item/F4706049620/ Faculty of Communication, Visual Art and Computing, Universiti Selangor (UNISEL) Malaysia Suziyanti Marjudi* Roziyani Setik Faculty of Communication, Visual Art and Computing, Universiti Selangor (UNISEL) Malaysia Raja Mohd Tariqi Raja Lope Ahmad Faculty of Communication, Visual Art and Computing, Universiti Selangor (UNISEL) Malaysia Wan Azlan Wan Hassan @ Wan Harun Faculty of Communication, Visual Art and Computing, Universiti Selangor (UNISEL) Malaysia Syahirah Ismail Faculty of Communication, Visual Art and Computing, Universiti Selangor (UNISEL) Malaysia Cardiovascular disease (CVD) is the most common cause of mortality worldwide, including in most Western countries and Asian countries such as Malaysia. Reports by The Department of Statistics Malaysia highlighted that ischaemic heart diseases and cerebrovascular disease, which are a few of CVD, was the principal cause of death in 2016 and 2017. At the same time, big data is a part of Malaysia's fast-growing technology and has grown prominently in the six Malaysian government's public sector clustering which are profiling, social, economy, transportation, education, and also in healthcare. This paper focuses on healthcare big data, which is a prime example of how the three Vs of data, velocity (speed of generation of data), variety, and volume, are an innate aspect of the data it produces. Most healthcare data analytics has been conducted in the United States and Europe, however there were some studies in Canada and very little in Asia. This study will be conducted in Selangor, Malaysia focusing on white-collar workers among the Selangor healthy community. Interviews will be held within medical practitioner or healthcare provider in order to collected information. The information available from the National Cardiovascular Database (NCVD) published reports will be used to conduct the data analysis experiments which will lead towards the identification of CVD risk factors. The results obtained show that data crawling of social media data can be used as a means towards healthcare big data analytics. This will hence aid in the Malaysian healthcare integration process and aid the Malaysian government to provide better healthcare for the overall Malaysian healthy community and society. 04 30 2020 2118 2124 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4707.049620 https://www.ijitee.org/portfolio-item/F4707049620/ Department of CSE, VR Siddhartha Engineering College, Vijayawada, India G. Pranavi* M.Pranava Brunda Department of CSE, VR Siddhartha Engineering College, Vijayawada, India P. Jashwanth Department of CSE, VR Siddhartha Engineering College, Vijayawada, India V.Naga Chaitanya Department of CSE, VR Siddhartha Engineering College, Vijayawada, India D.Rajeswara Rao Department of CSE, VR Siddhartha Engineering College, Vijayawada, India In semantic image-to-image translation, the goal will be to learn mapping between an input image and the output image. A model of semantic image to image translation problem using Cycle GAN algorithm is proposed. Given a set of paired or unpaired images a transformation is learned to translate the input image into the specified domain. The dataset considered is cityscape dataset. In the cityscape dataset, the semantic images are converted into photographic images. Here a Generative Adversarial Network algorithm called Cycle GAN algorithm with cycle consistency loss is used. The cycle GAN algorithm can be used to transform the semantic image into a photographic or real image. The cycle consistency loss compares the real image and the output image of the second generator and gives the loss functions. In this paper, the model shows that by considering more training time we get the accurate results and the image quality will be improved. The model can be used when images from one domain needs to be converted into another domain inorder to obtain high quality of images. 04 30 2020 1973 1976 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4712.049620 https://www.ijitee.org/portfolio-item/F4712049620/ Pursuing, Btech, Computer Science and Engineering at Velagapudi Ramakrishna Siddhartha Engineering College affiliated to JNTUK, Kakinada. Yepuri Spoorthi Hawanika* Kapavarapu Sai Sreeja pursuing Computer Science program at VR SiddharthaEngineering College affiliated to JNTUK University, Kakinada Yangala Shamitha Pursuing B.Tech final year in Computer Science and Engineering at VR Siddhartha Engineering College affiliated to JNTUK University, Kakinada. Bandaru Yuva Priyanka Pursuing, B.Tech Computer Science and Engineering at VR Siddhartha Engineering College affiliated to JNTUK University, Kakinada Manam Srilatha Assistant professor, Computer Science and Engineering, VR Siddhartha Engineering College, Vijayawada The counterfeit currency printing rate has been increased with the progress of color printing Technology. Some people are printing fake currency using some laser printers. Therefore, the counterfeit currency notes production instead of the original currency notes has been rapidly increasing. This requires an efficient system that identifies the counterfeit currency note and displays the result. This paper developed a system consisting of image preprocessing, gray-scale conversion, image segmentation, edge detection, feature extraction, and comparison modules. The currency note is scanned and the scanned image is used in the modules. The outcome of the system will foretell if the note is counterfeit or genuine. 04 30 2020 1746 1749 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4716.049620 https://www.ijitee.org/portfolio-item/F4716049620/ Research Scholar, Department of Computer Science, Jairams Arts and Science College(Affiliated to Bharathidhasan University), Karur - 639003, Tamilnadu, India M. Arunkrishna* B. Mukunthan Research Supervisor & Assistant Professor, Department of Computer Science, Jairams Arts and Science College (Affiliated to Bharathidhasan University), Karur - 639003, Tamilnadu, India. In this era of machinery driven, online social media is a vast growing fact. The main social media is Instagram, Facebook and twitter. These are the media which are connecting the global as fast as other sources. It will be increase as tremendous way in future. These online social media users makes the information independently and also they can gobble the information. There are so many domains accepts the vital role of analyzing the social media. This may improves the throughput and also attain the back-and-forth competition. Now a day the people are spending their most of the time in the online social media. The vast increase in the popularity in the social media also makes the hackers to spam, thus causes the conceivable losses. The Cyber criminals are usually hack by produce the external phishing sites or the malware downloads. This became the major issues in the safety consideration of online social network and this makes the user experience as a damaged one. To combat with the issue of spams, there has been a lot of methods available, Yet, there is not a perfect effective solution for detect the Twitter spams with the exactness. In this paper , the collected tweets are classified with the help of NB and Enhanced Random Forest classifiers. The prediction is then assessed on many validation measures such as accuracy,precision and F1 score. 04 30 2020 1588 1594 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4729.049620 https://www.ijitee.org/portfolio-item/F4729049620/ Department of Computer Science and Engineering, VR Siddhartha Engineering College, Vijayawada, Kanuru. Karishma Shaik* Yaswanth karreddula Department of Computer Science and Engineering, VR Siddhartha Engineering College, Vijayawada, Kanuru Mujahid Maheer Department of Computer Science and Engineering, VR Siddhartha Engineering College, Vijayawada, Kanuru. Sai Pranay Roop Donthamsetty Department of Computer Science and Engineering, VR Siddhartha Engineering College, Vijayawada, Kanuru. Dr.G. Anuradha Associate Professor, Department of Computer Science and Engineering, VR Siddhartha Engineering College, Vijayawada, Kanuru. Agricultural productive is the dominant issue, which affects the economy of the country excessively. So detection of diseases in plants plays a major role in Agricultural field. In previous day’s farmers in the fields used to observe the plants just by seeing with their eye for identification of a disease. But this method may take lot of time, expensive and inaccurate. So advanced technology that can identify plant diseases as easily as possible is needed, in order to decrease the percentage rate of the contamination of crops and increase the fertility. Here in this paper techniques like preprocessing, segmentation and classification of image are used. Here Tomato, Maize, Grape, Potato and Apple plant leaves are used, where different diseases are identified for each plant. For Classification we used Convolution Neural Network Algorithm, so that we can automatically detect the plant leaf diseases. And this will help farmers to identify their diseases as early as possible. 04 30 2020 1750 1754 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4735.049620 https://www.ijitee.org/portfolio-item/F4735049620/ Department of Geography, Gauhati University, Guwahati, India. Sujata Medhi Sourav Chetia* Department of Geography, Gauhati University, Guwahati, India. Syeda Fahima Shahnaz Sultana* Department of Geography, Gauhati University,Guwahati,India. Kasturi Borkotoky Department of Geography, Gauhati University, Guwahati, India. Ashok Kumar Bora Department of Geography, Gauhati University, Guwahati, India. Remote sensing and GIS based vegetation monitoring offers lot of potential for ecosystem studies. This study utilized freely available moderate resolution Landsat images to quantify the changes in vegetation dynamics in Dibru-Saikhowa national park, India. A wide range of vegetation indices and temperature indices such as normalized difference vegetation index (NDVI), land surface temperature (LST), vegetation condition index (VCI), temperature condition index (TCI) and vegetation health index (VHI) was utilized for the purpose of the study. Results reveal that the study area has gone through changes in vegetation and temperature pattern affecting the land surface balances. The maximum NDVI value for the year 1996 was recorded between 0.5-0.8 whereas the maximum LST values ranged between 17.240C-34.850C. In 2019, the maximum NDVI values reduced to the range of 0.14-0.6 while LST increased to 18.950C-38.910C. Consequently, the VHI classes showed a negative trend. In 1996, healthy vegetation covered a total area of 14564.6 ha which reduced to 9872.1 ha in 2019. Conversely, the no vegetation class showed a significant positive trend from 951.3 ha to 3015.99. Such alteration in vegetation dynamics in the study area is affecting the local climate and regional ecosystem services and require instant attention of conservationist and policy makers. 04 30 2020 1901 1906 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4747.049620 https://www.ijitee.org/portfolio-item/F4747049620/ Department of Computer Science and Engineering, SRMIST, Kattankulathur, India. Shivang Agarwal* Abhinav Banerjee Department of Computer Science and Engineering, SRMIST, Kattankulathur, India. Abirami G Department of Computer Science and Engineering, SRMIST, Kattankulathur, India. Low standards of air quality are amongst the greatest in ranks of risks to public health as well as the risks to climatic conditions. A substantial amount of costs and efficiency misfortunes are identified with poor indoor air quality. Air quality is extraordinarily troublesome for plenty to gauge or sense; therefore, the general population can't say whether air quality is undesirable. In the interim, the vast majority of the predominant air quality action gadgets are intended for experts; It is expensive and on the far side the compass of normal clients. Throughout this paper, associate degree robot application based mostly real-time air quality watching system is created, which could be handily used for private body space micro-climate watching and conjointly useful for individuals suffering from metabolism bother by unceasingly watching the parameters that are harmful. The detector node is enforced with a most well-liked Arduino prototyping board, a Bluetooth module, and a form of low-priced small gas-sensors. 04 30 2020 1907 1910 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4802.049620 https://www.ijitee.org/portfolio-item/F4802049620/ professor in CSE at MGIT, Hyderabad,India. Dr A. Nagesh* This paper proposes a novel approach that combines the power of generative Gaussian mixture models (GMM) and discriminative support vector machines (SVM). The main objective this paper is to incorporating the GMM super vectors based on SVM classifier for language identification (LID) task. The GMM based LID system to capture all the variations present in phonotactic constraints imposed by the language requires large amount of training data. The Gaussian mixture model (GMM)- universal background model (UBM) modeling require less amount of training data. In GMM-UBM LID system, a language model is created by maximum a posterior (MAP) adaptation of the means of the universal background model (UBM). Here the GMM super vectors are created by concatenating the means of the adapted mixture components from UBM. Then these super vectors are applied to a SVM for classification purpose. In this paper, the performance of GMM-UBM LID system based on SVM is compared with the conventional GMM LID system. Form the performance analysis it is found that GMM-UBM LID system based on SVM is performed well when compared to GMM based LID system. 04 30 2020 1983 1986 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4805.049620 https://www.ijitee.org/portfolio-item/F4805049620/ Electronics and Communication Engineering, Vellore Institute of Technology, Vellore, India. Chandra Keerthi Pothina* Indu Reddy Atla Electronics and Communication Engineering, Vellore Institute of Technology, Vellore, India. India being a democracy, that too world’s largest, still conducts its elections using either Secret Ballet Voting or Electronic Voting Machines (EVM) both of which involve high costs, manual labor and are inefficient. So, the system must be optimized to be made efficient which would not leave room for unwanted means of voting. The current system requires the physical presence of every individual which is inconvenient to many people. This paper focuses on a system that uses faces to unlock the voting system just like in your phone and does not require physical presence to cast a vote as the traditional system does. The process is time-consuming as well. The entirely web-based system enables people to cast their votes from anywhere in the world. Using detection of faces decreases the chance of duplicating a vote and those who are registered prior to the election and are recognized by the system will be allowed to vote. Just like fingerprints, every face also has unique features like the distance between the eyes and eyebrows that remain unchanged with growing age which makes the system more secure. Hence, the approach makes the system the best way to vote. 04 30 2020 2208 2213 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4806.049620 https://www.ijitee.org/portfolio-item/F4806049620/ Department of Electrical and electronics Engineering , V R Siddhartha Engineering Collge,Vijayawada,INDIA P. Venkatesh* S.Upnder Rao Department of Electrical and Electronic Engineering Vignan’s Institute of Management and Technlogy for women,Ghatkesar. T. Suneel Department of Electrical and electronics Engineering , V R Siddhartha Engineering Collge, Vijayawada, INDIA, Automatic Generation Control of two area multi unit interconnected thermal power system with dynamic participation of Doubly Fed Induction Generator based on the wind turbines. In this work two areas consisting of three unequal turbines both areas are connected to the DFIG based wind turbine. Area 1 consisting of three reheat turbines with Doubly Fed Induction Generator based on wind turbine and area2 consisting of three non reheat turbines with Doubly Fed Induction Generator based on wind turbine and two areas interconnected by tie line. Two different controllers are used, namely PID and cascaded PD-PI controllers. The controllers effectively tuned by hybridization algorithm. 1% step load disturbance is applied in area 1 for analyzing the dynamic performance. The performance of two area multi-unit power system is done in MATLAB/SIMILINK software. The dynamic response of the considered system is compared in terms of undershoots, overshoot and settling times 04 30 2020 2214 2218 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4808.049620 https://www.ijitee.org/portfolio-item/F4808049620/ Computer Science and Engineering, Periyar Maniammai Institute of Science and Technology (Deemed to be University), Thanjavur, India. R. Poonguzhali* K. Lakshmi Computer Science and Engineering, Periyar Maniammai Institute of Science and Technology (Deemed to be University), Thanjavur, India. Natural languages are ambiguous and computers are not capable of understanding the natural languages in the way people really understand them. Natural Language Processing (NLP) is concerned with the development of computational models based on the aspects of human language processing. Question Answering (QA) system is a field of Natural Language Processing that provides precise answer for the user question which is given in natural language. In this work, a MemN2N model based question answering system is implemented and its performance is evaluated with a complex question answering tasks using bAbI dataset of three different language text corpuses. The scope of this work is to understand the language independent and dependant aspects of a deep learning network. For this, we will study the performance of the deep learning network by training and testing it with different kinds of question answering tasks with different languages and also try to understand the difference in performance with respect to the languages 04 30 2020 2057 2062 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4816.049620 https://www.ijitee.org/portfolio-item/F4816049620/ School of Engineering and Technology, Al Dar University College, Dubai, UAE. Naeem Zafar Azeemi* Ghassan Al Utaibi School of Business Administration, Al Dar University College, Dubai, UAE. Omar Al Basheer School of Engineering and Technology, Al Dar University College, Dubai, UAE. Poised to smart citizenry engagement, an unprecedented deluge of high quality streaming services induce a major data traffic challenge in Fourth Generation (4G) bandwidth and coverage, the upcoming smart city expectations cannot be ignored, eventually. The bottlenecks in ever exploiting benefits such as e-Life, to name a few at Mobile Equipment Providers (MEP) tiers, are complemented at Device Dependent Device Independent (D3I) configurations inherent at various tiers of Mobile Service Providers (MSP). While enabling a Supply Chain Management (SCM) augments a unique system support involving the MSPs and MEPs for desired Customer Relationship Management (CRM), Ad hoc Resource Planning (ARP), which we found prevalent in migration scenario from 4G to 5G technology deployment. Despite its complexity both in term of one-to-many and many-to-one across diverse MSP and MEP options, SCM operational objectives sets forth a unique challenge, hence is the main objective for our work presented here. In this paper, we presented a framework to enhance the 4G legacy in mobile service provider capacity for smart city Machine-to-Machine (M2M) backbone. The migration process is assessed with proposed strategic, technical and operational indicators, which demonstrate its adaptability and flexibility while integrating in conventional 4G deployments, especially taking into account radio devices and applications. Web-enabled Software Define Radio devices and applications are used to index the migration cost and support SCM planning and execution. We identify, the decentralization of mobile service providers infrastructure plays a major role in reducing the embedded complexity which often appears as primary bottleneck. MSP as a key player in the elasticity of migration, we presented a platform to support large as well as low MEP-MSP co-deployments. Pareto multi-criteria optimization is used to find the strategic indicators which are primary Transformation Steering Factors (TSF), valid in both device dependent or device independent M2M migration. We expose our result for achieving TSF, while rolling interoperability and reconfiguration of device deployed in a typical volatile inter-MSP or intra-MSPs tiers. Pareto Migration Indicators (MI) are optimized successively progressing across the transformation schemes; relative to base-line MSP services, hence enabling a lucrative choice while elasticity of provider-centric cost depends adaptively on technology legacy and M2M access of User Equipment (UE). 04 30 2020 1755 1762 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4827.049620 https://www.ijitee.org/portfolio-item/F4827049620/ (M.E. CASAD) Department of Civil Engineering, PhD research scholar, LDRP-ITR, Gandhinagar-382015, Gujarat, India Pooja Podar* Dr.Gargi Rajapara Research guide, Department of Civil Engineering, LDRP-ITR, Gandhinagar-382015, Gujarat, India Structural hollow sections have excellent properties for resisting static loads, with regard to buckling, bi-axial bending and torsion. Structural hollow sections are generally used for truss components, considering greater stiffness and lateral strength. A square hollow section truss has about two third of surface area of same size I section. Hollow section truss may have smaller members as a result of higher structural efficiency. Construction of composite beam commonly includes I section. This paper deals with comparison of commonly used hot rolled or welded I composite section with cold formed hollow RHS and SHS composite section with respect to flexure and shear. Flexural tests were conducted to evaluate the structural behavior of the proposed composite beams. Two different steel sections were used for this study with nominal concrete strength of 30 MPa. The composite beams were tested under concentrated two points loading. The test results were plotted and compared with analytical results. The mid span deflections and slip were recorded for both composite beams. Buckling modes for both composite beams were identified. comparisons have been carried out between predicted beam strength as provided by Eurocode -4 and experimental test results. Sectional properties are checked for cold formed hollow square section using EN 1993-1-3. 04 30 2020 1987 1992 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4833.049620 https://www.ijitee.org/portfolio-item/F4833049620/ Assistant Professor in Electronics & Communication Engineering department at Sri Krishna College of Engineering & Technology, Coimbatore, Tamilnadu, India K. Suriya* Dr.S. Sophia Professor in Electronics & Communication Engineering department at Sri Krishna College of Engineering & Technology, Coimbatore, Tamilnadu, India This proposes a new diminutive octa polarization reconfigurable circular patch antenna design. This new antenna can operate in eight different polarizing states (6 different angles of linear polarization and 2 circular polarization states) with the help of a reconfigurable probe feed network. The antenna comprises of a circular layer of radiation with four equally spaced slits at the boundary of the circular patch to obtain size reduction. The bias voltages of six pairs of PIN diodes are interval between each state. A 3 dB hybrid coupler and a RF switch are used to produce reconfiguration between circular polarization states of the right and left hand. The proposed antenna was designed using CST microwave studio, fabricated as a prototype model and tested which produces desired values for various parameters of antenna including compact size. The designed antenna operates within 2.4-2.5 GHz frequencies suitable for wireless applications. 04 30 2020 775 779 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I7645.049620 https://www.ijitee.org/portfolio-item/I7645078919/ PG Student, Department of Civil engineering, Poojya Doddappa Appa College of engineering Gulbarga Karnataka, India. Gautham* Amaresh S. Patil Associate Professor Department of Civil engineering, Poojya Doddappa Appa College of engineering Gulbarga Karnataka, India. Sharat Chouka Assistant Professor Department of Civil engineering, Poojya Doddappa Appa College of engineering Gulbarga Karnataka, India. Tuned mass dampers (TMD) are one of the most reliable devices to control the vibration of the structure. The optimum mass ratio required for a single tuned mass damper (STMD) is evaluated corresponding to the fundamental natural frequency of the structure. The effect of STMD and Multiple tuned mass dampers (MTMD) on a G+20 storey structure are studied to demonstrate the damper’s effectiveness in seismic application. The location and number of tuned mass dampers are studied to give best structural performance in maximum reduction of seismic response for El Centro earthquake data. The analysis results from SAP 2000 software tool shows damper weighing 2.5% of the total weight of the structure effectively reduce the response of the structure. Study shows that introduction of 4-MTMD at top storey can effectively reduce the response by 10% more in comparison to single tuned mass damper. The use of MTMD of same mass ratio that of STMD is more effective in seismic response. 04 30 2020 780 783 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K2324.049620 https://www.ijitee.org/portfolio-item/K23240981119/ Ph.d. Scholar, Banasthali Vidhyapeeth Rajasthan, India. Ms. Pallavi Pahadiya* Prof. Ritu Vijay Professor, Banasthali University, Rajasthan, India. Kumod Ku. Gupta Ph.d. Scholar, Banasthali Vidhyapeeth Rajasthan, India. Ms. Shivani Saxena Ph.d. Scholar, Banasthali Vidhyapeeth Rajasthan, India Ms. Ritu Tandon Ph.d. Scholar, SAGE University Indore, India. A need of reliable Automated tongue analysis system which may help the user to get an idea about his/her health. As per Ayurveda, Chinese medicine and homeopathy tongue appearance gives lot of information about one’s health. As tongue analysis come under non- invasive method one can easily go for it without any fear for expensive invasive methods. In non-invasive method like tongue analysis Experts opinion play very important role which also, hinders proper analysis. A reliable automated tongue analysis system may overcome this problem. This paper focuses on two major problem faced while using automated tongue analysis system i.e. proper position of tongue for maximum area coverage and better thresholding method to get area of interest. 04 30 2020 365 372 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3604.049620 https://www.ijitee.org/portfolio-item/L36041081219/ Department of applied science and general engineering, Army Institute of Technology, Pune, Maharastra Dr Seema Tiwari* Dr Nidhi Jain Engineering Science Department, Bharti Vidyapeeth,Lavale,Pune,Maharastra Aniket Department of mechanical engineering , Army Institute of Technology, Pune, Maharastra In the present work, silver nanoparticle, sodium alginate, chitosan and gelatin are used to form nanocomposite films and films have been prepared for wound healing application. These films have been characterized by Fourier transform infrared (FTIR) spectroscopy, X-ray diffraction (XRD), Scanning electron microscopy (SEM) and an antibacterial study of the sample. The dynamic release data were interpreted with various kinetic models. These film has shown remarkable antibacterial property against E.Coli, thus offering their candidature for the application in the near future. 04 30 2020 877 881 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3770.049620 https://www.ijitee.org/portfolio-item/L37701081219/