-4d90550d17f4602e089-51f8 20220411002946357 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 03 30 2020 8 6 Scholar, Ph.D. scholar, Dr. APJ Abdul Kalaam technical university, Lucknow, Uttar Pradesh, India Kshitiz Srivastava* Prof. (Dr.) Namrata Dhanda Professor, Department of computer science, Amity University, Lucknow, Uttar Pradesh, India Dr. Anurag Shrivastava Professor, Department of Computer Science & Engineering, BabuBanarasi Das Northern India Institute of Technology, Lucknow, Uttar Pradesh, India Essays are one of the most important method for assessing learning and intelligence of a student. Manual essay grading is a time consuming process for the evaluator, a solution to such problem is to make evaluation through computers. Many systems were proposed over past few decades. Each system works on different approach having focus on different attributes. Aim of this paper is to understand and analyze current essay grading systems and compare them primarily focusing on technique used, performance and focused attributes. 03 30 2020 5438 5441 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9938.038620 https://www.ijrte.org/portfolio-item/F9938038620/ Assistant professor, ECE, Vignan Institute of Technolgy and science(VITS). Gondhi Navabharat Reddy* Sruthi Setlem Assistant professor, ECE, Vignan Institute of Technolgy and science(VITS). We describe face classification algorithm which can be used for object recognition, pose estimation, tracking and gesture recognition which are useful for human-computer interaction. We make use of depth camera (Creative Interactive Gesture Camera – Kinect®) to acquire the images which gives several advantages when compared over a normal RGB optical camera. In this paper we demonstrate a intermediate parsing scheme, so that an accurate per-pixel classification is used to localize the joints. We make use of an efficient random decision forest to classify the image which in turn helps to estimate the pose. As we employ depth camera to acquire depth image it may contain holes on or around depth map, so we first fill those holes and the classify the image. Simulation results was observed by varying several training parameters of the decision forest. We generally learned an efficient method which stems the basics in the development of pose estimation and tracking. Also we gained an intensive knowledge on Decision forests. 03 30 2020 5612 5617 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9941.038620 https://www.ijrte.org/portfolio-item/F9941038620/ Assistant Professor, V. M. Patel College of Management Studies, BBA Department, Ganpat University, Gujarat, India Patel Vipul B*. Patel Kundan M Assistant Professor, V.M. Patel College of Management Studies, Ganpat University, Gujarat, India. Social media is very popular media in glob for communication as well as transaction for millions of people. As social media is widely and effectively use for commercial, marketers have also emphasized on utilization of social media like YouTube, Facebook, Instagram, Blogs for promoting their products as well as services. However, instead of having wide utilization of social media for promotion, Indian marketers don’t have concrete idea on users’ attitudes towards SMM (social media marketing) and influence of social media advertisement. Moreover, few researches have been carried out in this regards. There is a gap of understanding on social media user’s drive that affect their attitudes and intension of purchase of products in the sense of SMM and social media advertisement with special focus. The reason behind carrying out this research is to focus on influence of social media users’ drive on the intentions of online purchase in the context of SMM in the fashion business of India. In addition, it examines affection of social media advertisement on online buying intension. Data was congregated from 414 respondents through convenience sampling from the major cities of Gujarat and defined premises were measured with multiple regression method. The outcomes revealed that functional drive, entertainment drive and social media use have significant influence on social media user’s attitudes towards social media marketing. Further, results also revealed that there is influence of attitude towards SMM and social media advertisement on intension of online purchase by social media users. The results of the research study would be used by Industry in taking decisions regarding social media strategies. Markers in Industry would know attitude of users towards social media better and perform well as far as social media marketing is concern. Finally, theoretical and functional suggestions are also mentioned. The research study ends up with some shortcomings and direction for further study in discussed area. 03 30 2020 5153 5160 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9944.038620 https://www.ijrte.org/portfolio-item/F9944038620/ Assistant Professor (S-III), Department of Economics, Rajiv Gandhi University,A.P Dr. Lijum Nochi* Debajit Bhuyan PhD Scholar, Department of Economics, Rajiv Gandhi University.A.P Livelihood is in vouge as a concept, approach, method, practive perspective or as a framework for analysis. The intention of this paper is not to delve into the intricacies and simplify the web of shock managements in terms of the five capitals, as in literatures. Instead the attempt here is to cross-examine as to identify within which category or spectrum of income-consumption function the households lies. Further, it is also to underline certain broad outlines that have emerged and are indicative of protfolio of livelihood alternatives in income-consumption shock managements. The study is indicative of the factum that households are at the lower spectrum of the income-consumption pyramid. Being at the lower stratum of the hierarchy, the stressed households are vulnerable to income-consumption shocks. Nonetheless, household either by their own learning or because of intervention and awareness have diversified their livelihoods into a portfolio of activities. Keeping in mind the welfare nature of dispensation and that the majority of the households being BPL (Below Poverty Line) a designed positive intervention is a must. 03 30 2020 5442 5446 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9950.038620 https://www.ijrte.org/portfolio-item/F9950038620/ Research Scholar, Department of Economics, Dibrugarh University, Dibrugarh, India, Miss Kamalika Hazarika* Spending on social sector benefits the society enhances the human capital of the economy, which have both direct and indirect spill over effects on economy. Social sector expenditure includes expenditure on health, education etc. The objective of the study is to analyse the trend of Social Sector Expenditure and Gross State Domestic Product of Assam and to analyse the relationship between Social Sector Expenditure and Gross State Domestic Product of Assam. The trend of Gross State Domestic Product of Assam at constant 2011-12 prices (in rupees lakh) is showing a decreasing trend from 1990-91. But after 2015-16, it is showing an increasing trend. The expenditure on social sectors like health, education etc as a whole and Gross State Domestic Product of Assam is showing an increasing trend from 1990-91 to 2016-17. By using cointegration and Granger Causality test an attempt has been made to analyse the relationship between the expenditure on Social Sectors on Gross State Domestic Product in Assam. Granger Causality test reveals that expenditure on Social Sectors has a positive impact on Gross State Domestic Product. But Johansen Cointegration test reveals that there is no integration between the two variables in the long run. 03 30 2020 5347 5349 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9958.038620 https://www.ijrte.org/portfolio-item/F9958038620/ Research Scholar, Department of Computer Application, Shri Ramswaroop Memorial University, Lucknow Deva Road, Barabanki, Uttar Pradesh India Rajat Sharma* Sanjai Kumar Dewakar Research Scholar, Department of Computer Application, Shri Ramswaroop Memorial University, Lucknow Deva Road, Barabanki, Uttar Pradesh India Bineet Kumar Gupta Associate Professor, Department of Computer Application, Shri Ramswaroop Memorial University, Lucknow Deva Road, Barabanki, Uttar Pradesh India Programmable intelligence is the need of Future Cognition technology. Certain cells and tissues in living organisms have ability to produce electric fields and Electric current develops magnetic fields around it and vice versa. To find out the possibility to control the intelligence artificially using the said mechanism of electromagnetism is a big challenge at present. Developing a technology to induce intelligence through programmed magnetic fields generated in a planned and sequential way. Mechanism of computer aided generation of magnetic fields (CAGMF) applications in plants like ‘touch me not’ has a big concern for intelligence development. Intelligence in plants can be assessed using neuroimaging techniques. Further a model can be developed for programmable intelligence for humans as well. As an outcome of our analysis, we concluded that a model can be developed using “CAGMF” Further, experimental approach to test the hypothesis would be a validation of proposed model. 03 30 2020 5738 5740 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9959.038620 https://www.ijrte.org/portfolio-item/F9959038620/ pursuing B. Tech final year, Department of CSE, Anil Neerukonda Institute of Technology and Sciences, India, Sai Teja Polisetty* Dr. K. Selvani Deepthi Associate Professor, Department of CSE, Anil Neerukonda Institute of Technology and Sciences, India, Shaik Ameen pursuing B. Tech final year, Department of CSE, Anil Neerukonda Institute of Technology and Sciences, India, Ravivarma G pursuing B. Tech final year, Department of CSE, Anil Neerukonda Institute of Technology and Sciences, India, M Mounisha pursuing B. Tech final year, Department of CSE, Anil Neerukonda Institute of Technology and Sciences, India, The past decade has endorsed a great rise in Artificial Intelligence. Text summarization which comes under AI has been an important research area that identifies the relevant sentences from a piece of text. By Text Summarization, we can get short and precise information by preserving the contents of the text. This paper presents an approach for generating a short and precise extractive summary for the given document of text. A statistical method for extractive text summarization of sports articles using extraction of various features is discussed in this paper. The features taken are TF-ISF, Sentence Length, Sentence Position, Sentence to Sentence cohesion, Proper noun, Pronoun. Each sentence is given a score known as the predictive score is calculated and the summary for the given document of text is given based on the predictive score or also known as the rank of the sentence. The accuracy is checked using the BBC Sports Article dataset and sports articles of various newspapers like the New York Times, CNN. The precision of 73% is acquired when compared with System Generated Summary (SGS) and manual summary, on an average. 03 30 2020 5622 5627 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9965.038620 https://www.ijrte.org/portfolio-item/F9965038620/ T, M.E., Computer Science and Engineering, Francis Xavier Engineering College Maria Patricia Peeris* Prof. Brundha Senthil Professor, Francis Xavier Engineering Col-lege, Tirunelveli, Computer Science Department. Lately, lung cancer has become a terminal disease increasing the mortality rate due to the late diagnosis of the ail-ment. Early diagnosis can help reduce the death rate abundantly. The prediction of abnormalities from the given input images is a crucial factor. Deep learning has played an important role in early cancer detection by training networks to detect abnormali-ties via the given image. Convolution Neural Network (CNN) are most commonly used for cancer detection. In this paper, we pro-pose a CNN with the concept of down-sample in the Region of Interest (RoI) of the Computed Tomography (CT) images where the RoI will be subjected to magnification. Here, the magnifica-tion operation will first identify a spot from the upper region and then travel downwards towards the end of the CT image. Howev-er, every RoI will undergo local magnification process before the network could detect the next lesion. Detecting lesion are more effective as the lesions are disrupted structures in the human tissues that projects anomalies in the section viewed. Therefore, these anomalies can be useful in detecting lung cancer efficient-ly. 03 30 2020 5447 5450 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9968.038620 https://www.ijrte.org/portfolio-item/F9968038620/ Electrical & Instrumentation Engineering Department, TIET, Patiala, India. Sanchita Kumari* Amrita Sinha Electrical & Instrumentation Engineering Department, TIET, Patiala, India. In this paper, Active Superconducting Fault Current Limiters (ASFCLs) has been introduced in the existing nine bus ring system to validate prompt reduction in fault current magnitude. Instigation of FCL in rapidly expanding transmission and distribution network supports existing installed equipment. ASFCL uses converter in association with superconducting transformer to decrease fault current with its inception instantaneously. In nine bus ring system, with and without ASFCL, various faults are simulated, sampled and processed using MATLAB/Simulink. The mitigation of current during LG fault has been observed to be effective with ASFCL placement near the generating buses in the existing system. This inclusion of ASFCLs in the existing system appends the impedance seen by the distance relays affecting its characteristics operation and the protection scheme. Resistance, reactance, impedance and phase angle as seen by the relay have been computed using fundamental component of the voltages and currents, extracted by applying Discrete Fourier Transform (DFT) on sampled data. The change in the impedance and its component have been tabulated and plotted without and with ASFCL for different types of fault with respect to distance between fault points and relay location. The zone settings of protected transmission line, need to be modified as per appended reactance and impedance seen by distance relay with inclusion of SFCL to prevent maloperation. 03 30 2020 5451 5458 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9975.038620 https://www.ijrte.org/portfolio-item/F9975038620/ department of management, Dr. Shakuntala Misra National Rehabilitation University, Lucknow, India. Sandeep Kumar Rawat* Dr. Anu department of management, Dr. Shakuntala Misra National Rehabilitation University, Lucknow, India. Although the concept of green finance is at nascent stage in India yet it has acquired tremendous attention in modern financial market. Lack of interest from the investors and ineffective policies of government have brought the scope of green finance down in India. But in recent few years the real prospective and importance of green finance is being recognized by the investors. A number of research papers exist particularly on green finance and relation with its stakeholders. Researchers are doing brilliant work in this area. In this paper we review the current scenario of Green finance and try to find out current research directions based on the recently published work on green finance. This review enables us to know the mature area of research and area that needs future exploration. Eventually we highlight the current and future research area and present a critical analysis on green finance. 03 30 2020 5628 5633 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9980.038620 https://www.ijrte.org/portfolio-item/F9980038620/ PG Scholar, National Engineering College, Kovilpatti, Tamilnadu, India. Dinakaran P* Gethzi Ahila Poornima I Ph.D. Scholar, National Engineering College, Kovilpatti, Tamilnadu, India. Paramasivan B Professor, National Engineering, Kovilpatti, Tamilnadu, India. This paper proposes a hybrid programmable two-dimensional Cellular Automata (CA) based pseudo-random number generator which includes a newly designed rule set. The properties and evolution of one and two dimensional CA are revisited. The various metrics for evaluating CA as a Pseudo-Random Number Generator (PRNG) are discussed. It is proved that the randomness is high irrespective of the initial seed by applying this newly designed rule set. The PRNG is tested against a popular statistical test called Diehard test suite and the results show that the PRNG is highly random. The chaotic measures like entropy, hamming distance and cycle length have been measured 03 30 2020 5741 5748 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9983.038620 https://www.ijrte.org/portfolio-item/F9983038620/ Civil department, VR Siddhartha Engineering College, Vijayawada, India. Sujatha Takkellapati* Tej Sai Moturu Civil department, VR Siddhartha Engineering College, Vijayawada, India. Haroon Ali Khan Civil department, VR Siddhartha Engineering College, Vijayawada, India. Dr.Chava Srinivas Civil department, VR Siddhartha Engineering College, Vijayawada, India. Concrete is the most significant material for construction and by incorporation of various industrial by products may improve its properties. Normally fine aggregates have been obtained from natural sources like river beds, now days there is a lot of scarcity for getting natural aggregates. So to overcome this problem, aggregates are partially replaced with alternative materials like bottom ash, recycled aggregates and some natural aggregates .In present study, fine aggregate was replaced with bottom ash and steel fibres are used to improve strength characteristics of concrete. M25 grade concrete was prepared for control specimens, and also bottom ash based fiber reinforced concrete specimens were prepared in different proportions 0%, 10%, 20%, 30% and 40% with bottom ash by weight of fine aggregate and a 1.0% and 1.5% of steel fibers were added by weight of cement. To examine bottom ash based steel fiber reinforced concrete specimens were tested under flexural, split tensile, and compression. The mechanical property of bottom ash based steel fiber reinforced concrete was compared with control mix to examine optimal combination of bottom ash and fibers. It was noticed that 10% replacement of bottom ash has shown the maximum improvement in Compressive, split tensile and flexural strength. Hence, bottom ash based steel fiber reinforced concrete can be used as construction material. 03 30 2020 5459 5463 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9985.038620 https://www.ijrte.org/portfolio-item/F9985038620/ Pursuing BE degree, Department of Electrical and Electronics Engineering, National Engineering College, Kovilpatti. K.Subbiah Kumar* P. Subashraja Pursuing BE degree, Department of Electrical and Electronics Engineering, National Engineering College, Kovilpatti. V. Vasanth Pursuing BE degree, Department of Electrical and Electronics Engineering, National Engineering College, Kovilpatti. M. Venkatesh Pursuing BE degree, Department of Electrical and Electronics Engineering, National Engineering College, Kovilpatti. N.B. Prakash Associate Professor(Senior Grade), Department Electrical and Electronics Engineering. National Engineering College, Kovilpatti In the present busy days constant monitoring of the patient’s body parameters such as temperature and heart beat rate etc., becomes difficult. In our day-to-day life health has prime importance. Maintaining the health is a daily work . Hence to remove the burden of monitoring patients health from doctor’s head. This project present the methodology for monitoring patients remotely using GSM and embedded technology 03 30 2020 5216 5218 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9994.038620 https://www.ijrte.org/portfolio-item/F9994038620/ Assistant Professor, Yashavantrao Chavan Institute of Science, (Autonomous) Satara. Payal B. Dahotre* Dr. Shobha K. Bawiskar Assistant Professor, Government Institute of Forensic Science. Aurangabad. Plagiarism is “Someone using someone else's intellectual product”. Now a day’s Plagiarism is increasing which violates an Intellectual property right which is serious cyber crime. Everyone is now becoming aware of these types violations. So checking the Plagiarism by using anti plagiarism tools is very important task. In this research article textual based plagiarized data samples of 1 GB was created and by using various free-ware software’s and License software and by considering various parameters its efficiency assessment is studied. As a result of this study everyone in society will be able to detect plagiarisms which will avoid Intellectual property right related crimes. 03 30 2020 5350 5355 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9996.038620 https://www.ijrte.org/portfolio-item/F9996038620/ Assistant Professor, Department of Computer Science and Engineering, GITAM School of Technology, Bengaluru. (Karnataka), India Chithra Apoorva D.A Malepati Chandu Nath Chithra Apoorva D.A, Assistant Professor, Department of Computer Science and Engineering, GITAM School of Technology, Bengaluru. (Karnataka), India Peta Rohith Assistant Professor, Department of Computer Science and Engineering, GITAM School of Technology, Bengaluru. (Karnataka), India Bindushree. S Chithra Apoorva D.A, Assistant Professor, Department of Computer Science and Engineering, GITAM School of Technology, Bengaluru. (Karnataka), India Swaroop. S Assistant Professor, Department of Computer Science and Engineering, GITAM School of Technology, Bengaluru. (Karnataka), India In today's education world there are many number of students who want to pursue higher education after engineering or any graduate degree course. Higher education in the sense, some people want to do M.tech through GATE or through any educational institute entrance examination and some people want to do MBA through CAT or through any respective educational institute entrance examination and some people want to do Masters in abroad universities. we are focusing on only the students who want to pursue their higher education in abroad universities. Generally Higher education in abroad universities means we have many options like canada, USA ,UK Germany, Italy, Australia etc. But we are focusing on only the students who want to do their Masters in America. Students who want to do masters in America have to write GRE (Graduate Records Examination) and TOEFL/IELTS (Test of English as a Foreign Language/International English Language Testing System). Once they have attended the exams they have to prepare their SOP(statement of purpose) and LOR(letter of reccomendation) which are one of the crucial factors they have to consider. These LOR and SOP plays a vital role if the student was looking for any scholarship. Then the students have to choose the universities they want to study or apply, we cannot apply to all the universities that will lead to lot of application fees. Here comes the problem that the student dontt know to which university he might get admission. There are some online blogs which help in these matter but they are not that much accurate and dont consider all the factors and there are some consultancy offices which will take lot of our money and time and sometimes they will give some false information.so our goal is to develop a model which will tell the students their chance of admission into a respective university. This model should consider all the crucial factors which plays a vital role in student admission process and should have high accuracy. The model name is UAP. To access this model we will develop a simple user interface. 03 30 2020 4922 4926 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F9043.038620 https://www.ijrte.org/portfolio-item/F9043038620/