-4d90550d17f4602e089-5d1d 20220401071702906 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 Associate Professor, Department of Information Technology, Bannari Amman Institute of Technology, Sathyamangalam, Tamil Nadu, Gunasekaran M* Gopalakrishnan B Associate Professor, Department of Information Technology, Bannari Amman Institute of Technology, Sathyamangalam, Tamil Nadu Amitabh Wahi Professor, Department of Information Technology, Bannari Amman Institute of Technology, Sathyamangalam, Tamil Nadu Cryptography is the specialty of encoding and decoding messages and exists as extended as the individuals have doubted from one another and need secure correspondence. The traditional techniques for encryption naturally depend on any among public key or secret key approaches. In general, the public key encryption depends on two keys, for example, public key and private key. Since encryption and decryption keys are different, it isn't important to safely distribute a key. In this approach, the difficult of the numerical issues is assumed, not demonstrated. All the security will be easily compromised if proficient factoring algorithms are found. In secret key encryption two clients at first create secret key, which is a long string of arbitrarily selected bits and safely shares between them. At that point the clients can utilize the secret key along with the algorithms to encryption and decryption information. The procedures are complicated and also planned such a way that every bit of output is based on every bit of input. There are two fundamental issues with secret key encryption; first one is that by breaking down the openly known encoding algorithms, it gets simpler to decrypt the message. The subsequent one is that it experiences key-conveyance issue. As a result of the ongoing improvements in quantum processing and quantum data hypothesis, the quantum computers presents genuine difficulties to generally utilized current cryptographic strategy. The improvement of quantum cryptography beat the deficiencies of old style cryptography and achieves these huge accomplishments by using the properties of infinitesimal articles, for example, photon with its polarization and entangled state. In this paper, Polarization by refraction based quantum key distribution (PR-QKD) is proposed for quantum key generation and distribution. The proposed work considers three basis of polarization such as rectilinear (horizontal and vertical), circular (left-circular and right-circular), ellipse (left-ellipse and right-ellipse) and refraction factor. This quantum key can be used for secure communication between two users who are spatially separated and also offer intrusion detection ability to detect attackers. The theoretical approach and conceptual results are discussed in this paper. 03 30 2020 2911 2918 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8222.038620 https://www.ijrte.org/portfolio-item/F8222038620/ Professor of Civil Engineering, Kallam Haranadha Reddy Institute of Technology, Guntur, Andhra Pradesh, India. Dr.Satish Kumar Moparthi* Mr. Ambati Dattatreya Kumar Assistant Professor in department of Civil Engineering, V.R Siddhartha Engineering College, Vijayawada, Andhra Pradesh, India. M.V. Raju Assistant Professor, Department of Civil Engineering, VFSTR, Deemed to be University, Vadlamudi, Guntur, A.P., India. Mr.K. Mariadas Assistant Professor, VFSTR, Deemed to be University, Guntur, A.P., India Dr. D. Satyanarayana Professor in Department of Mechanical Engineering, VFSTR, Deemed to be University, Guntur, A.P., India. Groundwater is the combination of different minerals and salts which is available to the human kind for the survival primarily and also for all the developmental activities of the society. Around the world the quality of the groundwater at majority of the fresh water aquifers is good and recommendable for consumption with basic treatment where as the accessibility of groundwater[6] depends on the practices taking place for lifting of water, rate of consumption along with the climatic conditions. Groundwater is the most important and the essential need for all the living beings irrespective of age and the species they belongs to, because almost more than ninety percent of metabolic activities of the human beings and the other living organisms depends on the water itself, even though water is available in the other notable form as surface water [5] it is not at all recommendable for consumption without proper required treatment [7]. In the present scenario accessing of quality groundwater is the most difficult and complex issue to meet the daily demand of the public especially in the developing cities [9] and the towns it is very big complicated issue due to the continues addition of unpredictable population year by year which makes the situation more worse. Apart from the above man made activities quality and the quantity of groundwater also depends on the existed soil conditions and its function with respect to the water holding capacity and rate of infiltration. The present study was carried out at downstream area of Krishna River in mangalagiri mandal of Guntur district, Andhra Pradesh. The study area had been divided into eight locations based on the possible interference of groundwater by human activities to find out the complete and detail composition of various cationic, anionic and heavy metals of water to estimate the suitability of water for consumption 03 30 2020 2012 2013 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8227.038620 https://www.ijrte.org/portfolio-item/F8227038620/ PG Student, Department of Civil engineering, Kongu Engineering College, Erode, Tamil Nadu, India. V. Sureshvel* S. Suchithra Associate Professor, Department of Civil engineering, Kongu Engineering College, Erode, Tamil Nadu, India. B. Ponmohan Kumar PG Student, Department of Civil engineering, Kongu Engineering College, Erode, Tamil Nadu, India. The project discussing concrete shear behavior analysis with varying percentage of steel fiber. D6,The fibres of hooked end steel fibre, which are used at varying proportions, namely 1%, 1.5% and 2%. The strength tests show that the addition of fibre used better result when compared with conventional concrete. Various analyzes were conducted, such as compressive strength, split tensile strength, and flexural strength. The outcome of the experimental study shows, that incorporating carbon coating steel fibre enhances the properties of plain concrete. 03 30 2020 2487 2490 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8228.038620 https://www.ijrte.org/portfolio-item/F8228038620/ Department of Electronics & Communication, Jaipur National University, Jaipur, India, Shruti Thapar* Sudhir Kumar Sharma Department of Electronics & Communication, Jaipur National University, Jaipur, India. The moveable ad hoc networks are untrustworthy and inclined to any intrusion due to their wireless interaction approach. Therefore the information from these networks can be stolen very easily just by introducing the attacker nodes in the system. The straight route extent is calculated with the help of hop count metric. For this purpose, routing protocols are designed. The wormhole attack is considered to be the hazardous one among several attacks. This intrusion is commenced with the help of couple attacker nodes. These nodes make a channel by placing some sensor nodes between transmitter and receiver. The accessible system observes the wormhole intrusions in the absence of intermediary sensor nodes towards the target. This mechanism is significant for the areas where the route distance amid transmitter and receiver is two hops merely. This mechanism is not suitable for those scenarios where multi hops remain amid transmitter and receiver. In the projected study, a new technique is implemented for the recognition and separation of attacker sensor nodes from the network. The wormhole intrusions are triggered by these attacker nodes in the environment. The projected scheme is utilized in NS2 and it is depicted by the reproduction outcomes that the projected scheme shows better results in comparison with existing approaches. 03 30 2020 3672 3680 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8230.038620 https://www.ijrte.org/portfolio-item/F8230038620/ Dept. of CS, GIS, GITAM( Deemed To Be UNIVERSITY) , Visakhapatnam Sunil Chandolu* S. Prasad Babu Vogolu Dept. of CS, GIS, GITAM( Deemed To Be UNIVERSITY). D. Usharajeswari Dept. of CS, GIS, GITAM( Deemed To Be UNIVERSITY), This work proposes a canny learning finding framework that bolsters a Web-based topical learning model, which expects to develop students' capacity of information incorporation by giving the students the chances to choose the learning themes that they are intrigued, and gain information on the particular subjects by surfing on the Internet to look through related adapting course-product and examining what they have realized with their associates. In view of the log documents that record the students' past web-based learning conduct, an insightful analysis framework is utilized to give fitting learning direction to help the students in improving their investigation practices and grade online class interest for the teacher. The accomplishment of the students' last reports can likewise be anticipated by the conclusion framework precisely. Our trial results uncover that the proposed learning finding framework can proficiently assist students with expanding their insight while surfing in the internet Web-based "topic based learning" model. 03 30 2020 4861 4865 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8231.038620 https://www.ijrte.org/portfolio-item/F8231038620/ Department of Computer Science and Engineering, Kattankulathur Campus, SRM Institute of Science and Technology, Chennai, India Ashish Unadket* Vikas Yadav Department of Computer Science and Engineering, Kattankulathur Campus, SRM Institute of Science and Technology, Chennai, India. Dr. B. Sivakumar Department of Computer Science and Engineering, Kattankulathur Campus, SRM Institute of Science and Technology, Chennai, India. Nowadays there is an increasing amount of road accidents happening around the world. The amount of road accidents is especially high in metropolitan cities. The main reason for road accidents is almost always due to the negligence on part of the driver. Maximum number of Road Accidents occur due to over-speeding and drunk driving. This system helps detect over-speeding vehicles by directly implementing the particular hardware inside the vehicle itself and depending on the GPS position of the car and regional speed limits alert the authorities based on the violation. This technique helps us to reduce costs which need to be incurred to install speed cameras at roads at regular intervals. The system will detect the speed of the car, and in case of a violation the license plate number along with the registration details and the photo of the driver will be directly sent to the concerned authorities. This system aims to decrease the amount of accidents that happen across the globe and help conserve human lives. Road accident still remain one of the highest contributors to the loss of human life. For experimental results, we used raspberry pi and the GPS antenna for detection of over speed and alert the authorities on violation. 03 30 2020 3217 3220 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8233.038620 https://www.ijrte.org/portfolio-item/F8233038620/ Research Scholar, MANIT Bhopal (M.P.) India. Tarun Shrivastava* Dr. S. C. Gupta Associate Professor, Department of Electrical Engineering, MANIT Bhopal (M.P.) India. Dr. A. M. Shandilya Professor, Department of Electrical Engineering, MANIT Bhopal (M.P.) India. Superconducting fault current limiters (SFCLs) are the devices that uses the superconducting properties of the materials to limit the fault current. In comparison to the conventional fault current limiters (FCLs), the SFCL has advantage that its current limiting property is inherent and no external controls are required. However, to achieve the exact current limiting ratings with other characteristics like quench time, recovery time, peak current etc. a design optimization is required. Since the whole characteristics of SFCL depends upon the superconducting material adopted, and the parameters of cooling systems. The parameters defining the behavior of these two entities are selected as optimization variables. Because in this work second-generation high temperature superconducting (HTS) material known as YBCO (Yttrium Barium Copper Oxide ) is considered. Hence, in this paper non-dominated Sorting GA (NSGA-II) optimization algorithm is adopted that exploits the 2G YBCO mathematical model relating its electrical and thermal characteristics and cooling system specifications to find the optimal parameters according to the requirements (or objectives) of resistive-SFCL. The simulation results show that the presented algorithm is able to achieve multiple design objectives (required for SFCL) simultaneously within the range of 5%. 03 30 2020 2812 2817 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8303.038620 https://www.ijrte.org/portfolio-item/F8303038620/ Research scholar, Bharath Institute of Higher Education and Reseach, Chennai, India. S. Ramachandran* S. Rabiyathul Basariya Associate Professor, Lebanese French University, Erbil, Iraq. Today’s’ concern for Global warming is environment changes due to excess utilization of natural resources and leaving the wastages that unbalance the eco system. To recoup the eco system, environmental experts advise all the users of natural resources to take care of necessary action from the product design stage to disposal stage of its full Life-cycle. This will determine the environmental impact at each stage of a product's life from raw material extraction through materials processing, manufacture, distribution, use, repair & maintenance, and disposal or recycling. The concept applies to the manufacturing process is avoid-reduce-reuse concepts to restrict the consumption of natural resources. Here we will see how the Green Innovation system is adopted in online Marketing process, to protect the nature from pollution and disaster. Handing over clean air, clean earth and clean water are the true natural gift that we can offer to our future generation. Once eco system is polluted, it will take its own time to rescue. To avoid such insistence to happen, we have to give first preference to product from pollution by implementing green innovation system. Green innovation system, along with Eco innovation system, Environment innovation system and Sustainable innovation system are the other notations repeatedly discussed in green innovation. Though all the four relate to one, little difference exits. Green innovation includes all the activities mentioned in these notations. Generally, our aim is to leave the non polluted nature to our future generation to enjoy. To ensure this, the steps that could be taken while performing online marketing are discussed here. We will also see what could be applicable for online marketing process to promote this green innovation system. 03 30 2020 2919 2923 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8305.038620 https://www.ijrte.org/portfolio-item/F8305038620/ Department of Computer Applications, Madurai Kamaraj University College, Madurai, India. O. Rajalakshmi@ karthika C. Rekha Department of Computer Applications, Madurai Kamaraj University College, Madurai, India. Prediction of effort for software development is the major task for the effective management of any software industry. At present, there are several estimation techniques and tools that are available for a software project. However, choosing the correct and efficient effort prediction of a particular software project is the most demanding task for a start ups. This study focuses on Multiple Linear regression for Software Effort Estimation technique which will provide higher classification accuracy of a software project and thus improves the prediction efficiently. The main aim of the technique is to help developers in startups to classify the project compared to existing software metrics and thereby increasing the software effort prediction rate. 03 30 2020 3681 3684 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8306.038620 https://www.ijrte.org/portfolio-item/F8306038620/ Mechanical Engineering Department V R Siddhartha Engineering College , Vijayawada, India. K Srinivasa Rao* U.V.Narayana Rao Civil Engineering Department V R Siddhartha Engineering College , Vijayawada, India G Yaswanth Kumar Civil Engineering Department V R Siddhartha Engineering College , Vijayawada, India. A Dattatreya Kumar Civil Engineering Department V R Siddhartha Engineering College , Vijayawada, India. G Sridhar Babu. Mechanical Engineering Department V R Siddhartha Engineering College , Vijayawada, India Creation of concrete includes devouring of common non-sustainable assets. The concrete ventures have been ordered as profoundly dirtying enterprises. It is relevant to utilize eco-accommodating strategies in a manner to supplant, lessen or reuse the customary materials to be utilized in cements (Portland Cement Concrete). Solid utilization is underdog to water right now. Normal Portland concrete is ordinarily utilized as basically fastener to create concrete because of its accessibility of the crude materials everywhere throughout the world. The use of cement has extraordinarily affected the cutting edge world in framework, home and transportation, advancing the improvement of monetary advancement, human advancement and personal satisfaction. The natural issues related with the creation of OPC is notable, the measure of carbon dioxide discharged during the production of OPC because of calcinations of limestone and ignition of non-renewable energy sources is high. It is well kwon truth that creation of 1 kg of concretes delivers almost 1 kg of carbon dioxide. The degree of vitality required to deliver OPC is just beside steel and Aluminum so there is a need to conserve concrete. One of the solid answers for conserve concrete is to supplant with other strengthening establishing materials like fly debris, slag, meta kaolin, and so on then again the bottomless accessibility of fly debris, which being a side-effect of coal-based force plants the world over making a chance to enhance to OPC with fly debris. The all out creation of fly debris is almost as same as concrete, however our use of fly debris is just 5% of the creation, subsequently the utilization of fly debris ought to be improved. 03 30 2020 3121 3127 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8308.038620 https://www.ijrte.org/portfolio-item/F8308038620/ Moscow Aviation Institute (National Research University), 4, Volokolamskoe shosse, A-80, Postal service-3, 125993, Moscow, Russia Anna A. Burdina* Anna A. Nekhrest-Bobkova Moscow Aviation Institute (National Research University), 4, Volokolamskoe shosse, A-80, Postal service-3, 125993, Moscow, Russia Boris A. Gorelov Moscow Aviation Institute (National Research University), 4, Volokolamskoe shosse, A-80, Postal service-3, 125993, Moscow, Russia Stanislav S. Burdin Moscow Aviation Institute (National Research University), 4, Volokolamskoe shosse, A-80, Postal service-3, 125993, Moscow, Russia The paper studies the methods of neural network modeling to prevent damage from accidents, compares different approaches to the analysis of time series, explores the mechanisms for estimating the accuracy of forecasting values, describes the models and uses them. The problem of choosing the optimal prevent damage from accidents model according to minimum forecast criterion error is stated and solved. To solve this problem, there was used the group of mathematical methods, including statistics and econometrics, such as: autoregression, moving average, exponential smoothing, and neural network modeling. The result of the study is an algorithm for estimation of possible accident damage. The model is based on minimizing the forecasting error and implements created algorithm. 03 30 2020 4260 4263 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8312.038620 https://www.ijrte.org/portfolio-item/F8312038620/ is currently a 4th year student pursuing Bachelors of Technology in Biomedical Engineering from Vellore Institute of Technology, Vellore, Tamil Nadu. Onkar Rajesh Mulay Dr. Hemprasad Yashwant Patil Assistant Professor Vellore Institute of Technology, Vellore, India The focus of the paper is to classify the images into tumorous and non-tumorous and then locate the tumor. Amongst many medical imaging applications segmentation of Brain Tumors is an important and arduous task as the data acquired is disrupted due to artifacts being produced and acquisition time being very less, so classifying and finding the exact location of tumor is one of the most important jobs. In the paper, deep learning specifically the convolutional neural network is used to demonstrate its potential for image classification task. As the learning from available dataset will be low, so we use transfer learning [4] approach, as it is a developing AI strategy that overwhelms with the best outcomes on several image classification assignments because the pre-trained models have gained good knowledge about the features by training on a large number of images. Since, medical image datasets are hard to collect so transfer learning (Alexnet) [1] is used. Later on, after successful classification the aim is to find the exact location of the tumor and this is achieved using basics of image processing inspired by well-known technique of Mask R-CNN [9]. 03 30 2020 2016 2019 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8321.038620 https://www.ijrte.org/portfolio-item/F8321038620/ Assistant Professor in Christ University, Bangalore, Karnataka, India. Dr. Pallavi Kudal* Dr. Sunny Dawar Assistant Professor in Faculty of Management & Commerce, Manipal University Jaipur, Rajasthan, India. This study examines effects of board composition on firm performance among 24 selected companies which are listed on the National Stock Exchange. It strives to understand the influence of corporate governance by testing 3 variables of board composition namely – board size, number of independent directors and the number of female directors on a company’s profitability measured through the tool – Tobin’s Q. One-way Anova test is used to establish a relationship between each of the three variables of board composition with firm profits. The study is conducted over a period of 5 years from 2013 to 2018 and concentrates on the following sectors - Auto, Financial Services, FMCG, IT, Media, Metal, Pharma, and Realty. The results revealed a significant relationship between board size and number of independent directors with firm profits which meant a firm with a greater sized board or more independent directors also showed higher profits in comparison. While, no significant relationship was found between the number of women directors on a firms’ board and firm performance. 03 30 2020 2818 2824 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8324.038620 https://www.ijrte.org/portfolio-item/F8324038620/ Assistant Professor, Department of CS&E, SJM Institute of Technology, Chitradurga, India. Nishkala H M Anu S H CS&E, SJM Institute of technology, Chitradurga, India. Ashwini B V CS&E, SJM Institute of technology, Chitradurga, India. Kavya C M CS&E, SJM Institute of technology, Chitradurga, India. Monika B S CS&E, SJM Institute of technology, Chitradurga, India. Applications of science and technology have made a human life much easier. Vision plays a very important role in one’s life. Disease, accidents or due some other reasons people may loose their vision. Navigation becomes a major problem for the people with complete blindness or partial blindness. This paper aims to provide navigation guidance for visually impaired. Here we have designed a model which provides the instruction for the visionless people to navigate freely. NoIR camera is used to capture the picture around the person and identifies the objects. Using earphones voice output is provided defining the objects. This model includes Raspberry Pi 3 processor which collects the objects in surroundings and converts them into voice message, NoIR camera is used detect the object, power bank provides the power and earphones are used here the output message. TensorFlow API an open source software library used for object detection and classification. Using TensorFlow API multiple objects are obtained in a single frame. eSpeak a Text to Speech synthesizer (TTS) software is used to convert text (detected objects) to speech format. Hence using NoIR camera video which is captured is converted into voice output which provides the guidance for detecting objects. Using COCO model 90 commonly used objects are identified like person, table, book etc. 03 30 2020 2924 2927 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8327.038620 https://www.ijrte.org/portfolio-item/F8327038620/ Department of M.com Finance and System, Amrita School of Arts and Science, Kochi, Kerala, India. Angel Roy Aparna M. Department of M.com Finance and System, Amrita School of Arts and Science, Kochi, Kerala, India. S. Girish Assistant Professor, Department of M.com Finance and System, Amrita School of Arts and Science, Kochi, Kerala, India. Responsible Ecotourism is a travel in to deep nature which conserves the environment, strengthens the well-being of the local people and also involves interpretation and education. Ecotourism gives prominence to sustainable development of the environment and environmentally responsible behaviour is an environmental conservation mechanism. Environmentally responsible behaviour of tourists helps in reducing and avoiding damages to the ecological environment. Ecotourism occupies a significant position in overall tourism development. Apart from sustainable ecotourism this also includes alternative ecotourism, green tourism, leisure tourism, soft tourism, Geo tourism etc. Development in Ecotourism increases income of local people and employment status. 03 30 2020 3780 3784 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8328.038620 https://www.ijrte.org/portfolio-item/F8328038620/ Assistant Professor, Department of Computer Science & Engineering, CDGI, Indore, India. Mr. Rahul Kaul* Dr.Manmohan Singh Professor, Department of Computer Science and Engineering, CDGI, Indore, India. Mrs Sweta Gupta Assistant Professor, Department of School of Engineering &Technology, Jagran Lakecity University, Bhopal, India. Ms. Geetanjli khambra Raghuwanshi Assistant Professor, Department of Computer Science & Engineering, JLU, Bhopal, India. Mr. Prashant Pathak Assistant Professor, Department of Computer Science, Jagran Lakecity University, Bhopal, India. The destination image branding is the domain of tourism industry where the facts and information is collected and evaluated for finding the credibility of a target tourist destination. Manual collection and processing of collected information accurately is a complicated and time consuming task therefore a data mining model is suggested ,in this presented work that collect and evaluate the destination image accurately and based on evaluation can make the recommendations about visits of tourist. In order to perform this task data mining techniques are applied on text data source. In first the data is extracted from the Google search engine and it is preprocessed for make it impure. In further the data is labeled based on the positive and negative words available in the collected facts. Finally the clustering and classification of text is performed. For clustering of data FCM (fuzzy c means) clustering algorithm and for classification the Bayesian classifier is used. Based on final classification of text data the decision is made for the destination visits. 03 30 2020 4617 4622 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8329.038620 https://www.ijrte.org/portfolio-item/F8329038620/ Department of Computer Science and Engineering, Shri JJT University, Churela, Jhunjhunu, Rajasthan, India. Dr. Yogesh Kumar Sharma* Chamandeep Kaur Department of Computer Science and Engineering, Shri JJT University, Churela, Jhunjhunu, Rajasthan, India. Network security becomes a major consideration of the current era. Internet provides an enormous ease in almost all the regions like online banking, online shopping, communications, businesses or organisations. Thus, the communication network requires the security of the confidential data stored or transfer over the internet. Due to the quick development of computerized gadgets and their entrance to the internet caused insecurity to user data. Now a days, security and privacy threats has become more and more complicated which amplify the requirement for a modernized protected medium to secure the valuable data into the internet. In this paper, introduced Virtual Private Network (VPN) is a great way to protect devices and information from the hackers. VPN is a private network which operates over a public network transit the encrypted information so that attackers are not able to use it. The purpose of VPN is to provide the different security elements such as authenticity, confidentiality and data integrity that’s why these are becoming trendy, low-priced and easy to use. VPN services are available for smart phones, computers and tablets. This paper also concerns about the development, protocols, tunnelling and security of VPN. It is a rising technology which plays a major role in WLAN by providing secure data transmission over Internet. 03 30 2020 2336 2339 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8335.038620 https://www.ijrte.org/portfolio-item/F8335038620/ Assistant Professor, Department of IT, Sri Vishnu Engineering College for Women, Bhimavaram-534202, Andhra Pradesh, Dr. Nagendra Panini Challa Ms. Adurthi Lakshmi Kalyani Undergraduate Student, Department of CSE, SCSVMV, Kanchipuram, Tamil Nadu, India. Dr. E. Vasanth Kumar Mehta Associate Professor, Department of CSE, SCSVMV, Kanchipuram, Tamil Nadu, India. Ms. Aalavala Lakshmi Mounika Undergraduate Student, Department of CSE, SCSVMV, Kanchipuram, Tamil Nadu, India. Information was recorded and transmitted through the use of many traditional methods in ancient times using naturally available material like palm leaves, tree barks etc. which were found suitable for long-term storage. With passage of time, these materials are increasingly prone to deterioration from many internal and external agents, and we are at a risk of losing the valuable information inscribed on them. Digitization is a feasible and available solution preservation of such content. Scanning and digitizing these manuscripts facilitates making it visible and readable for the users. The process of Knowledge retrieval from these manuscripts begins with the first step of Character Recognition. This primary step itself is a very complex task due to the variety of scripts and handwritings on the palm leaf manuscripts. This paper provides an overview about different challenges faced by global researchers pertaining to palm leaf scripts and the solutions proposed by them. 03 30 2020 2491 2498 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8339.038620 https://www.ijrte.org/portfolio-item/F8339038620/ Independent Researcher, Department of History of Uzbekistan, Karshi Engineering Economics Institute, Karshi City, Uzbekistan. Akhmedov Bekzod Abdirakhmonovich* Muminova Gavkhar Esonovna Professor, Department of World History, Karshi State University, Karshi City, Uzbekistan. This article analyses the role of Bukhara in the development of Karakul sheep breeding as a part of world agriculture, including the export of sheep from the Emirate to a number of European and Asian countries; Opinions on such issues. 03 30 2020 4006 4010 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8341.038620 https://www.ijrte.org/portfolio-item/F8341038620/ Student, Department of Computer Science and Engineering, Mahatma Gandhi Institute of Technology Hyderabad, India Praharsh Gowrishetty* Arepalli Gopi Assistant Professor, Department of Computer Science and Engineering, Mahatma Gandhi Institute of Technology Hyderabad, India The objective and scope of the project are to record the details and grant leave permission to the students and faculty in an institution in a secured way by eliminating the present system. Usually, leave permission is granted by giving the physical gate pass and this is a time taking process and the paper gate pass can be manipulated very easily. In this project, the paperwork is eliminated and a highly secured electronic version of the paper gate pass is provided in the form of a QR Code. Here in the project, only the administrator or HoD is approving the user with a QR Code, if they want to allow the student to leave the college premises. Appropriate training is provided to the user which suit their specific needs. When a student or a faculty need a leave, they can approach the concerned authorities, the credentials like unique ID, leaves left, etc are checked and then leave is granted in form of a QR Code. This QR Code is scanned by the security guards before allowing a person to leave the campus. The security guards have to be trained with scanning of QR Code which is a simple task. The system is intuitive and user-friendly. It simplifies the task and eliminates the paperwork. This project enables free, secured, fast and easy leave approval. 03 30 2020 2928 2932 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8342.038620 https://www.ijrte.org/portfolio-item/F8342038620/ Assistant Professor, Department of Electronics and Communication Engineering, KLE Dr. MSSCET, Belagavi, Karnataka, India. Lingaraj Duggani* Dr. Udaykumar Naik Professor, Department of Electronics and Communication Engineering, KLE Dr. MSSCET, Belagavi, Karnataka, India. Vijay Rayar Assistant Professor, Department of Electronics and communication Engineering, KLE Dr. MSSCET, Belagavi, Karnataka, India. The promising solution for next generation wireless communication system is multiple input multiple output (MIMO) system. It can transmit and receive data from different channels simultaneously without any need of additional frequency band. In this paper the design issues and challenges in MIMO antenna system for different applications have been reviewed. The major applications of MIMO systems include Wi-Fi, High Speed Packet Access, LTE, WiMAX (4G), and also MIMO has been used in power line communication. Implementation of MIMO antenna system is dependent on important parameters such as: Peak gain, Average Gain, Mutual Coupling, Envelop Correlation Coefficient (ECC), Total Active Reflection Coefficie nt (TARC), Signal polarization and Miniaturization of antenna system. Hence an optimal MIMO antenna design to suit for communication applications in an indoor environment is a challenging task. This paper proposes comparative study for the different MIMO antenna parameters. The different modeling techniques for MIMO antenna system are surveyed and areas for future research work in line with tradeoffs between different design parameters are suggested. 03 30 2020 3842 3846 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8351.038620 https://www.ijrte.org/portfolio-item/F8351038620/ Dept. of Computer Science & Engineering, N. B. Navale Sinhgad College of Engineering, Solapur, India. Ms. Nisha Kshirsagar* Prof. Amol Phatak Dept. of Computer Science & Engineering, N. B. Navale Sinhgad College of Engineering, Solapur, India. In this paper we propose a system called Spam Detector to find out spam reviews of particular product. This framework uses spam features which helps to review datasets. In proposed system four different categories of features are included such as review behavioral (based on behaviour of review) , user behavioral (based on behaviour of user), review linguistic (based on linguistic pattern of review) and user linguistic (based on linguistic pattern of user). In today’s world, most of people take decision based on information available through social media reviews on a topic or product. Due to this it is possible that anyone can post a review for a particular product which give a chance for spammers to post junk reviews related to particular product and facilities. To find out such spammers and the spam review is becoming important. Some methods exist to cope up with this problem, but these methods hardly detect spam reviews, and are not based on the extracted feature type. Weight of spam features are used to gain better results in the form of different aspects tested on real world review datasets. Here the used dataset is from Amazon websites. The experimental results show that Spam Detector beats the present method. 03 30 2020 2020 2023 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8356.038620 https://www.ijrte.org/portfolio-item/F8356038620/ Amity School of Architecture and Planning, Amity University Jaipur, Rajasthan, India Himanshu Saluja* Rakesh Kumar Amity School of Architecture and Planning, Amity University Jaipur, Rajasthan, India Pratheek Sudhakaran Amity School of Architecture and Planning, Amity University Jaipur, Rajasthan, India Nishant Saxena Amity School of Architecture and Planning, Amity University Jaipur, Rajasthan, India Ishani Gogoi Amity School of Architecture and Planning, Amity University Jaipur, Rajasthan, India With the trend of falling costs associated with solar energy production, solar adoption is currently picking momentum in India at the state and federal level. Solar power is being adopted by universities, factories and other large entities readily, but is not prevalent for small scale consumption or for land owners of smaller plots in urban areas. These landowners represent a large chunk of development and their adoption can bring solar energy to the masses, galvanizing forces of agglomeration of economics. Surface area for installation of solar power is essential for solar adoption at any meaningful scale, especially for residential use. Installation of a solar array below the requirement leads to supplementation by the electrical grid and dealing with two different power sources and thus unpopular. The paper calculates this requirement for the average household and a minimum energy demand threshold is identified, below which solar adoption will not make sense to the urban household. Further, the area required for solar installation to meet this demand threshold is calculated. The paper finds this area requirement to be out of reach for most households, which has been identified as an impediment to solar adoption by urban households. 03 30 2020 2499 2502 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8363.038620 https://www.ijrte.org/portfolio-item/F8363038620/ M.Phil Degree, Computer Science, Alagappa University, Karaikudi and Periyar University, Salem K. Geetha* The World Wide the net is very great place where things are stored and it is growing exponentially. It has in it sizeable amount of news given which is growing and bringing up to the current state quickly. Different organizations, institutes, government agencies and support centers bring up to the current state their news given regularly. The World Wide the net provides its services to the ranges of the net users. The net users may have different interests, needs and back knowledge. Clustering into groups is one of the most important tasks in the action-bound areas of the net record mining. It says without any doubt to grip the trouble of news given over-weight on the net while many users are connected on the meeting thing by which something is done. Clustering into groups is made use of for grouping news given into by comparison way in design for making discovery of person for whom one does work interest. There are two bad points of FCM algorithm, firstly the requirements of no. of clusters C and secondly giving to the first relation matrix. Because of, in relation to these two bad points the FCM algorithm is hard to come to a decision about the right no. of mass, group and this algorithm is unsafe. The strong decision of desirable first stage mass, group is an important hard question, therefore a new expert way called PDFCM algorithm is made, was moving in. 03 30 2020 2933 2939 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8366.038620 https://www.ijrte.org/portfolio-item/F8366038620/