-22b9b34417bc6092a744ff4 20220226065443688 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 08 30 2020 9 10 Department of Mechanical Engineering, MLRIT, Hyderabad, India. Lokasani Bhanuprakash* Muhammed Anaz Khan Department of Mechanical Engineering, MLRIT, Hyderabad, India. Sunnam Nagaraju Department of Mechanical Engineering, MLRIT, Hyderabad, India. A Ravindra Department of Mechanical Engineering, MLR Institute of Technology, Hyderabad, India. The present work is aimed at studying glass fibre reinforced epoxy angle-ply laminated composites under in-plane and out-of-plane loads. Three symmetric laminates were fabricated at different combination of fibre ply orientations through a simple hand layup technique. The prepared laminates were characterized for tensile and flexural strength measurements according to the ASTM standards D3039 and D7264, respectively. Symmetric laminates consisting of fibre plies orienting in the direction of applied load have demonstrated greater resistance against tensile loads, whereas laminate system consisting of adjacent plies oriented in different angles promoted binding strength of the matrix which in turn resulted in enhanced flexural strength values. 08 30 2020 101 105 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8415.0891020 https://www.ijitee.org/portfolio-item/C8415019320/ PhD Scholar, Amity University, Noida, (Uttar Pradesh), India. Shitanshu Jain Dr. S. C. Jain Director, ASET, Amity University, Noida, (Uttar Pradesh), India. Dr. Santosh K. Vishwakarma Associate Professor, Department of CSE, Manipal University Jaipur, India. Term Weighting Scheme (TWS) is a key component of the matching mechanism when using the vector space model In the context of information retrieval (IR) from text documents, the this paper described a new approach of term weighting methods to improve the classification performance. In this study, we propose an effective term weighting scheme, which gives highest accuracy with compare to the text classification methods. We compared performance parameter of KNN and Naïve Bayes Classification with different Weighting Method, Weight information gain, SVM and proposed method.We have implemented many term-weighting methods (TWM) on Amazon data collections in combination with Information-Gain and SVM and KNN algorithm and Naïve Bayes Algorithm. 08 30 2020 390 393 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1938.0891020 https://www.ijitee.org/portfolio-item/D1938029420/ Telecommunication Program, Pan African University Institute for Basic Sciences Technology, and Innovation (PAUISTI), Jomo Kenyatta University of Agriculture and Technology (JKUAT), Nairobi, Kenya. Oumar Sacko* Stephen Musyoki Dept. of Telecommunication and Information Engineering of organization, The Technical University of Kenya (TUK), Nairobi, Kenya. Vitalice K. Oduol Dept. of Electrical & Information Engineering, University of Nairobi (UoN), Nairobi, Kenya. Indoor visible light communication (VLC) has the potential of providing high data rates for short-range wireless communication with a relative spatial elevated security in contrast to a radiofrequency wireless one. To support that high data stream, Orthogonal Frequency Division Multiplexing (OFDM) is used; however, due to the limited operational bandwidth of the commercial white light-emitting diode (LED), signal processing techniques are used to increase the efficiency of the OFDM and to adapt OFDM to VLC systems. As a major concern, the intensity modulation direct detection necessary for VLC requires positive real signal, this is dealt with by imposing Hermitian pre-possessing or Cartesian to polar conversion post-processing to the OFDM. The use of the Cartesian to polar converter allows the transmission of complex OFDM symbols through the intensity modulation channel. A polar transform optical (PTO-) OFDM presented here as an improvement and simplification of previous polar optical OFDM schemes gives an efficient transceiver architecture. Nevertheless, both OFDM transmission techniques for Visible optical links, similar to radiofrequency (RF), suffer greatly from irregular excessive Peak-to-Average power ratio (PAPR). Higher PAPR reduces the power efficiency of the On-Off Keying (OOK) based on pulse amplitude modulation (PAM). Furthermore, it also is recommendable to reduce the PAPR for conformity with eye safety. A precoding technique is proposed to reduce the PAPR of intensity-modulated for direct detectability of the OFDM signal destined for the wireless optical link using Cartesian-to-Polar conversion. Based on the enhanced processing at the front ends and using MATLAB simulation, it is proven that the presented model can improve the link parameters including the bit error rate (BER) and signal to noise ratio (SNR) and bandwidth efficient compared to Hermitian modified ones. 08 30 2020 307 315 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E9914.0891020 https://www.ijitee.org/portfolio-item/E9914069520/ Research Scholar, Electrical and Electronics Engineering, Dr. APJ Abdul Kalam University, Lucknow UP India. Niharika Mishra Sameer Bajpai Assistant Professor, Electrical and Electronics Engineering, Dr. APJ Abdul Kalam University, Lucknow UP India. Esh Narayan Assistant Professor, Applied Science & Humanities, Prabhat, Engineering College Kanpur Dehat UP India. In the present scenario, DC motor is widely used in industries. So, if DC motor is used for industrial purpose, the controlling is necessary. But there are various methods to control any system or plant such as via Proportional controller (P), Integral controller (I), Derivative controller (D), PI controller, PD controller, PID controller. Each controller is used on the basis of requirement. Proportional controller reduces the rise time, improves the steady state accuracy, and reduces the steady state error. But Integral controllers eliminate the steady state error but the process is too slow so it produces the worse transient response. Derivative controller improves the transient response, reduces the overshoots and improves the stability. So, for obtaining the accurate output of any plant, PID controller is best for many others. And for operating the DC motor in forward and backward both, H-bridge MOSFET is also used in this dissertation. Any other power electronics device is not suitable. 08 30 2020 274 282 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3967.0891020 https://www.ijitee.org/portfolio-item/F3967049620/ Research Scholar, Civil Engineering Department, JSPM’s Rajarshi Shahu College of Engineering, Tathawade, Pune, Savitribai Phule Pune University, Pune, India. Shivaji G. Patil* Dr. Ravindra K. Lad Prof. JSPM Shahu CoE, Tathawade, Pune, Director, JSPM Narhe Technical Campus, Savitribai Phule Pune University, Pune, India.. Maharashtra is the third largest state in India and nearly 58 % of population lives in the rural area which depends largely on agriculture for their livelihood. Due to various negative externalities of lack of water availability Government of Maharashtra declared a comprehensive water conservation programme named as Jalyukta Shivar Abhiyan (JSA). In this study, the methodology adopted to identify the strengths and weaknesses of JSA by conducting theoretical assessment of various water conservation activities carried out under JSA in three villages in Purandar taluka in Pune district and also few works as per Shirpur pattern in Dhule district, Maharashtra, India. Firstly, it was studied to know whether various activities conducted were based on scientific and engineering principles and the effectiveness of water conservation activities carried out on the village. Secondly, the effect of local community participation in these activities was studied to suggest ways for increase in participation for enhancement in groundwater recharge in the study area. The strengths and weaknesses were identified from assessment of JSA, which include technical gaps observed in planning and actual implementation of these works. It was also seen that public awareness regarding JSA in drought affected villages was poor due to which community participation was also poor. It is concluded that these strengths and weaknesses could be used to make some changes in policy and structure of JSA to improve effectiveness of scheme and also increase local community participation for enhancement groundwater recharge and also to increase effectiveness of water conservation activities under JSA. 08 30 2020 158 164 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F4831.0891020 https://www.ijitee.org/portfolio-item/F4831049620/ Department of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore, India. Ramesh. G* Sandeep Kumar N Department of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore, India. Champa H. N Department of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore, India. In field of handwriting recognition, Robust algorithms for recognition and character segmentation are presented for multilingual Indian archive images of Devanagari and Latin scripts. These report basically suffer from their format organizations, low print and local skews quality and contain intermixed messages (machine-printed and manually written). In order to overcome these drawbacks, a character segmentation algorithm is proposed for kannada handwriting recognition. In this work, in initial steps we are obtained the segmentation paths by using the characters of structural property and also the graph distance theory whereas overlapped and connected character are separated. Finally, we are calculated results by using the SVM classifier. In proposed recognition of character, they are three new geometrical shapes based on new features such as center pixel of character is obtained by first and second feature and third feature is calculation purpose we are used in neighborhood information of text pixels. Benchmarking results represent that proposed algorithms have best work identified with other contemporary methodologies, where best recognition rates and segmentation are obtained. 08 30 2020 458 466 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5821.0891020 https://www.ijitee.org/portfolio-item/G5821059720/ Associate Professor, Department of Information Technology, Aditya Engineering College, Surampalem, East Godavari District, Andhra Pradesh, India. Aruna Bhaskar Karri* Kona Vinay Praveen Kumar* Department of Computer science and Engineering, Aditya Engineering College, Surampalem, East Godavari District, Andhra Pradesh, India. As the picture sharing sites like Flicker become increasingly well known, broad researchers focus on tagbased picture recovery (TBIR). It is one of the essential approaches to discover pictures contributed by social clients. In this exploration field, label data and various visual highlights have been explored. Be that as it may, most existing strategies utilize these visual includes independently or successively. In this paper, we propose a worldwide and neighborhood visual highlights combination way to deal with get familiar with the significance of pictures by hypergraph approach. A hypergraph is built first by using worldwide, neighborhood visual highlights and tag data. At that point, we propose a pseudo-significance input system to get the pseudopositive pictures. At last, with the hypergraph and pseudo importance input, we receive the hypergraph learning calculation to figure the pertinence score of each picture to the inquiry. Trial results illustrate the adequacy of the proposed methodology. 08 30 2020 467 470 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6474.0891020 https://www.ijitee.org/portfolio-item/H6474069820/ Department of Electronics and Communication, Vellore Institute of Technology, Vellore, India. Nitesh Reddy M* Sakthivel R* Department of Electronics and Communication, Vellore Institute of Technology, Vellore, India. Varun Hemanth L* Department of Electronics and Communication, Vellore Institute of Technology, Vellore, India. Sharath Reddy M* Department of Electronics and Communication, Vellore Institute of Technology, Vellore, India. Due to the exponential increase of electronic devices that are connected to the Internet, the amount of data that they produce have grown to the same extent. In order to face the processing of these data, the use of some automatic learning algorithms, also known as Machine Learning, has become widespread. The most popular is the one known as neural networks. These algorithms need a great deal of resources to compute all their operations, and because of that, they have been traditionally implemented in application specific integrated circuits. However, recently there have been a boom in implementations in field programmable gate arrays, also known as FPGAs. These allow greater parallelism in the implementation of the algorithms. Field Programmable Gate Arrays (FPGA) implementation based feature extraction method is proposed in this paper. This particular application is handwritten offline digit recognition. The classification depends on simple 2 layer Multi- Layer Perceptron (MLP). The particular feature extraction approach is suitable for execution of FPGA because it is utilized with subtraction and addition operations. From Standard database handwritten digit images of normalized 40×40 pixel the features are extracted by the proposed method. It has been discovered by experiential outcomes that 85% accuracy is achieved by proposed system. Overall, as compared to other systems, it is less complex, more accurate and simple. Further this project explains IEE-754 format single precision floating point MAC unit’s FPGA implementation which is utilized for feeding the neurons weighted inputs in artificial neural networks. Data representation range is improved by floating point numbers utilization to a higher number from smaller number that is highly suggested for Artificial Neuron Network. The code is developed in HDL, simulated and synthesis results are extracted using Xilinx synthesis tools .In order to validate its computational accuracy of the FFT, an MATLAB validation script is used to verify the output of HDL with standard reference model. 08 30 2020 357 363 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6680.0891020 https://www.ijitee.org/portfolio-item/H6680069820/ Assistant Professor, Government College of Engineering, Amravati, Maharashtra, India. Latika Mahajan Mrs. Shubhada S. Thakare Assistant Professor, Government College of Engineering, Amravati, Maharashtra, India. In this paper study the compression method for digital map images. The digital maps are stored and distributed electronically using raster image compression format. In this paper study the different compression technique for the digital map images, which support storage size, decompression of image and smooth transition. For the compression number of methods are used, in this describe the compression technique with their factor. The system is therefore capable of improving the overall performance of the system under test. 08 30 2020 199 201 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I6976.0891020 https://www.ijitee.org/portfolio-item/I6976079920/ Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India. Namana A* Nishkala Gowda B Y Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India. Pratheeksha C Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India. Prajwal KS Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India. Charunayana V Assistant professor, Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India. Due to the everchanging environment, the cattle’s are in risk of getting affected by diseases and this in turn affects the economy. There will low productivity, less yield . It is still hard to forestall farm animals sicknesses using current monitoring systems that tune cattle activity and consequently the environmental situations of cattle .In this paper, we design a cattle health monitoring system using IOT and ML to a prevent livestock diseases, like anthrax disease, using dedicated sensors. We collect information using various. With the assistance of machine learning algorithm, we will predict the disease and send notification to the respective cattle owner and also the doctor in charge. 08 30 2020 169 173 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I7009.0891020 https://www.ijitee.org/portfolio-item/I7009079920/ Research Scholar PG VLSI, Department of Electronic Engineering, G H Raisoni college of Engineering, Nagpur, India. Rahul S. Jain* Nikhil P. Wyawahare IEEE, Member, Assistant Professor, Department of Electronic Engineering, G H Raisoni college of Engineering, Nagpur, India. Arpit Doshi Manager COE(Paint Shop & Machine Shop), Mahindra & Mahindra Ltd., Nagpur, India. Object recognition (OR) is a main capability needed by most AI vision systems. The most recent R&D on this domain has been gaining incredible ground in numerous ways. OR has a variety of uses. In this paper we talk about applications of OR system in manufacturing industry. In recent era scenario increased level of process automation in production industry also demands process automation of quality examination with lesser human intervention. 08 30 2020 402 405 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I7042.0891020 https://www.ijitee.org/portfolio-item/I7042079920/ Associate Professor, University Polytechnic, Aligarh Muslim University, Aligarh, U.P., India Mohammad Israil M S Jafiri Associate Professor, Civil Engineering, Aligarh Muslim University, Aligarh, U.P., India Pushpendra Kumar Sharma* Professor, SCE, Lovely Professional University, Phagwara, Punjab, India. Short discrete fiber reinforcement is the right choice in the concrete matrix. De-bounding and pulling out of fibers requires more force, thereby increasing the durability and confrontation to repeat and dynamics loads. Fibers substantially decrease the fragility of concrete and advance its engineering characteristics, like load bearing capacity, resistance against impact load, flexural, tensile and fatigue etc. Behavior of SFRC in tension, compression, flexure and shear has already been studied separately but no or very little work has been done on combined state flexure, tension, shear, torsion etc. Present study involves the investigation of the behavior of SFRC composite M20 beams with varying percentage fiber content (0.0, 0.50, 0.75 & 1.0%) by volume under the combined state of tension and shear and flexure. The testing beam size was taken as100 mm × 100 mm × 500 mm. Straight fibers 28 mm long and 0.28 mm diameter were castoff. The specimen beams were tested applying direct tension of 0, 5, 7 and 10kN. For different fiber percent by weight beams were tested, all the direct tension values were applied to each of the three beams i.e. total of 48 beams were casted and tested accordingly. For the beam under combined effect of tension, flexure and shear, when tested it was observed that ultimate central deflection and ultimate bending stress were found to decrease for a particular percentage increment of fiber added along with increase of tension. It was also observed that for a specific tension value, deflection increases with increase of fiber percentage at ultimate load in beams. Bending stress increases at tension 10 KN for all percentages of fiber content. 08 30 2020 202 205 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I7089.0891020 https://www.ijitee.org/portfolio-item/I7089079920/ Department of Mechanical Engineering, Federal Polytechnic, Mubi, Adamawa State, Nigeria A.K. Issa M.H Idris Department of Mechanical Engineering, Federal Polytechnic, Mubi, Adamawa State, Nigeria M.I. Tikau Department of Mechanical Engineering, Federal Polytechnic, Mubi, Adamawa State, Nigeria Nowadays solid wastes are becoming serious environmental challenges in Africa and most especially in Nigeria. Many strategies that are employed by local, state and federal government to curb the situation are always sabotaged due to poor altitude to waste management and corruption. Among these solid wastes are animal waste viz: chicken feather, animal horn, hoof, bone and hair (wool), human hair, silk and so on. These wastes contain keratin and collagen which make them viable for reinforcement materials in developing thermoplastic composite apart from their lighter weight, availability and bio-degradability. This paper presents review on utilization of animal waste as workable alternative fibre to synthetic fibres which are not recyclable and biodegradable. Furthermore, it provides some important data that can facilitate the usage of these animal fibres in order to achieve both economic and social sustainable development. 08 30 2020 62 66 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I7124.0891020 https://www.ijitee.org/portfolio-item/I7124079920/ Student, Department of Computer Networks Specialisation, B.M.S College of Engineering, Bengaluru, India. Naveen kumar S Dr. M Dakshayini Professor and Head, Department of Information Science and Engineering, B M S College of Engineering [BMSCE], Bengaluru, Karnataka, India. Raghavendra Biradar Student, Department of Computer Networks Specialisation, B.M.S College of Engineering, Bengaluru, India. Rajashekaragouda G Sankanagoudra Student, Department of Computer Networks Specialisation, B.M.S College of Engineering, Bengaluru, India. Existing health organizations maintain their patients and medical data using centralised management approach. This system is more vulnerable to data breaches which leads to security threats and patients don’t have control over their data. According to German cybersecurity company Greenbone Networks, the patient records, 121 millions of medical images and scans from India has been leaked which includes details such as the name of the patient, their date of birth, the national ID, name of the medical institution, their medical history, physician names and other details. According to poneman cost of data breach study, the cost of the data breach for healthcare organizations approximated to be $380 per record. According to 2016 Breach Barometer Report, 27,314,647 patient records were affected. The patient don’t have control over their data and data can be misused. Hyperledger fabric framework based Blockchain technology is most desirable solution to prevent data manipulation and data theft .It also facilitates patient to have control over their data. Hyperledger fabric is a permissioned distributed ledger framework and provide high degrees of confidentiality, flexibility, and scalability. 08 30 2020 283 287 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I7197.0891020 https://www.ijitee.org/portfolio-item/I7197079920/ Assistant Professor, Faculty of Computing and Software Engineering, AMIT, Arbaminch University, Ethiopia. Dr. Anusuya Ramasamy* Mr. Abel Adane Changare Lecturer, Faculty of Computing and Software Engineering, AMIT, Arbaminch University, Ethiopia. The main arena of Software Engineering development with ood design, development, coding, testing, implementation, deployment of the software, finally maintaining the software with good functionality. For the development of software many organizations are investing more and more budget in their revenue. Software Engineering development has several categories of data presented in software engineering such as Graphical User Interface, Usage graphs, writing text, realities and images. Significant information be able to be obtained from this composite data by well recognized data mining techniques such as association, classification, clustering etc. By discovery hidden patterns by data mining software engineering data is made illegal. Software Engineering development has many objectives in software engineering such as Code and Design optimization, Project documentation, Development cost estimation etc. Variety of significant data mining method in each phase of software development life cycle supports in realizing these objectives proficiently and the failure rate of software is decreased. . This paper focused a new hybrid model like combination of Fuzzy Logic and knowledge management offers a significant method for developing models for software quality prediction. This research paper explains about exercise of estimate and valuation at a particular organization by developments and represents the outcomes attained with a fuzzy based classification and knowledge model for the fuzzy knowledge management predication for the quality of software engineering Approach. This result illustrate that the significance of Average Error Evaluation Efficiency observed and used in fuzzy logic is lesser than Average Error Evaluation Efficiency used in another regression multiple regression; while the value of prediction is higher value that other prediction models is used before. Thus Results demonstrate that Hybrid fuzzy knowledge management predication for the quality of software engineering can be used as alternative for predicting the Software Development and Maintenance Quality (SDMQ). 08 30 2020 316 321 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I7623.0891020 https://www.ijitee.org/portfolio-item/I7623079920/ Masters in Engineering, Department of Civil Engineering, JSPM’S Imperial College of Engineering and Research, Pune, Maharashtra, India. Abhishek R Patil* Suraj D Shinde Masters in Engineering, Department of Civil Engineering, JSPM’S Imperial College of Engineering and Research, Pune, Maharashtra, India. Embodied energy(E.E) is the total amount of energy that is required in the production of a material which include all the processes, from the mining and processing of natural resources to manufacturing, transport and product delivery and this helps in choice of materials and construction methods, to maximize the energy efficiency of a building during its operation. The E.E. in products and energy conservancy are the ecological features included in eco-labelling schemes. Embodied energy in materials is a significant aspect in GB rating systems. This paper discusses the influence of different construction units on the E.E. of the structure. 08 30 2020 206 210 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I7641.0891020 https://www.ijitee.org/portfolio-item/I7641079920/ Assistant Professor in College of Engineering and Management Kolaghat, West Bengal, India. Soumitra De* Dr.Jaydev Mishra Assistant Professor in College of Engineering and Management Kolaghat, West Bengal, India. Database of neutrosophic relational model simplify the relational classical database model by accepting inaccurate data in the neutrosophic form. Here, authors are focused on extensive view of different normalizing neutrosophic forms of classical relational model using neutrosophic set. Initially, in this work authors have introduced the concept of neutrosophic closure of attribute set and neutrosophic key which are essential to develop the normalization concepts of neutrosophic relational database. An algorithm has been developed by the authors for neutrosophic closure based on attributes .These attributes are used to locate the neutrosophic key easily. Then, we have used the  -nfd, partial  -nfd concepts and neutrosophic key as focused in [1] different forms of normalization for the database of neutrosophic relational. Finally, this neutrosophic normalization technique is demonstrated on some real life neutrosophic relation. 08 30 2020 1 6 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7312.0891020 https://www.ijitee.org/portfolio-item/J73120891020/ Department of Computer Science & Engineering, Thamirabharani Engineering College, Tirunelveli, India. Jeeva. R* Muthukumaran N Department of Electronics and Communication Engineering, FX Engineering College, Tirunelveli, India. Social network has become a primary resource for users to send and receive the foremost up-to-date data and trend the present events. Currently, most of the social network contains the fictional content that was created by the influential spreaders wherever the message originality and therefore the spreader identity cannot be found which affects the end users. The proposed models to discover fictitious messages are verifying the contextual integrity with the trained classifier using large datasets. But the problem lies in updating of datasets with the recent or trending events from trusted sources in a regular interval. In the existing model, Hypertext-Induced Topic Search (HITS) method has been used for rating posts based on hub score and authority score. The hub score is calculated based on how many posts are posted or liked or tagged by the user and authority score is calculated based on how many users liked or tagged a post. If the user who ranks high in hub score tries to trend the low ranked post in authority score, the user will be marked as spreader. But the problem lies in the identification and verification of the posts that ranks in authority score. In our proposed system, we have enhanced the HITS algorithm by adding a third mechanism called top score which assigns weightage for every post based on the time they have posted. The time and content of the post has been verified by the integrated new model NewsAPI. Based on the three scores, the posts are filtered and matched with the news collected from NewsAPI. The news or posts that have not been matched either with the context or with the time will be marked as fictitious. 08 30 2020 7 11 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7328.0891020 https://www.ijitee.org/portfolio-item/J73280891020/ Department of Information Science and Engineering, Ramaiah Institute of Technology, Bangalore, India. Ranjith N* Lincy Mathews Assistant Professor, Department of Information Science and Engineering, Ramaiah Institute of Technology, Bangalore, India. Parkinson is a disease which directly affects the brain cells and certain movement, voice and other disabilities. Hence curable medication is not available in market. The best solution is the early diagnosis to relieve the symptoms of Parkinson’s disease affected people. One major concern effecting public is Parkinson's disease (PD). This paper studies the bias of various traditional algorithms on the voice-based data that has various parameters recorded from Parkinson patients and healthy patients. A brief survey of techniques are mentioned for the prediction of Parkinson's diseases is presented. To accomplish this task, identifying the best feature reduction approach was the primary focus. This paper further applies feature reduction techniques using a genetic algorithm for efficient prediction of Parkinson's disease along with machine learning-based approaches. The proposed method also presents higher accuracy in prediction by using this optimal feature reduction technique. 08 30 2020 12 16 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7337.0891020 https://www.ijitee.org/portfolio-item/J73370891020/ Division of Business Administration, Sangmyung University, Seoul, Korea. Youngkeun Choi* Jae Won Choi Department of Computer Science, University of Texas at Dallas,Richardson, TX, USA, The purpose of this study is to evaluate existing individual neural network-based classifiers to compare performance measurements to improve the accuracy of deviance predictions. The data sets used in this white paper are related to communication deviance and are available to IBM Watson Analytics in the IBM community. This study uses three classifiers from ANN and a split validation operator from one data set to predict the departure of communications services. Apply different classification techniques to different classifiers to achieve the following accuracy with 75.63% for deep running, 77.63% for perceptron, and 77.95% for autoMLP. With a limited set of features, including the information of customer, this study compares ANN's classifiers to derive the best performance model. In particular, the study shows that telecom service companies with practical implications to manage potential departures and improve revenue. 08 30 2020 17 20 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7339.0891020 https://www.ijitee.org/portfolio-item/J73390891020/ Department of Mathematics, Dibrugarh University, Assam, India. Krishnandan Verma* Debozani Borgohain Assistant Professor, Department of Mathematics, Dibrugarh University, Dibrugarh, Assam, India. Dr. B. R. Sharma Department of Mathematics, Dibrugarh University, Assam, India. The present study attempts to investigate numerically the problem due to rotating porous disk of MHD fluid flow with Soret effect using Darcy-Forchheimer model in a steady laminar Newtonian fluid. By using similarity transformation the governing equations of continuity, momentum, energy and concentration are converted into a system of nonlinear ODE’s. Matlab’s built in solver bvp4c has been employed to solve numerically the coupled ODE’s. Numerical results are obtained for velocity (radial, axial and tangential), temperature and concentration profiles for various parameters and are illustrated graphically. The effect of suction parameter on the radial and tangential skin friction coefficients and rate of heat transfer are obtained and compared with the one available in literature. The results are found to be in good agreement. Numerical values of Skin-friction coefficient, Nusselt number and Sherwood number are obtained for different values of parameter. 08 30 2020 21 28 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7361.0891020 https://www.ijitee.org/portfolio-item/J73610891020/ Associate Professor, Department. of ECE, Sri Venkateswara College of Engineering (SVCE), Tirupati (A.P), India. Dr. Sai Venu Prathap K. K Kishore Kumar Assistant Professor, Dept. of ECE, Sri Venkateswara College of Engineering (SVCE), (A.P), India. K Gopi Assistant Professor, Department. of ECE, SVCE-Tirupati. (A.P), India. In this paper, a pivotal technique was proposed that reduces the haze and combines the haze free image to increase the Field of View (FoV) in real-time with a rapid prototype hardware device. The Initial focus is to reduce the haze in an image with Dark Channel Prior Technique and the FSD method is utilized to mosaic the haze free images. Low contrast may occur due to the scattering light, air particles or fog in nature which results in a haze image that needs to be reduced and enhance the image for better vicinity. Haze reduction approach depends on entropy and information fidelity. Our Haze free algorithm executes multiple phases such as dark channel prior computation, estimation and refinement of transmission map and restoration of RGB values. The second technique is the mosaic process that improves the field of view of a scene and the phases that execute are corner detection, extraction, geometric computation and blending. Our experimental results have shown better when compared to the other algorithms. The whole process is executed in real-time with a standalone device called Intel compute stick. 08 30 2020 29 34 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7370.0891020 https://www.ijitee.org/portfolio-item/J73700891020/ Mechatronics Engineering Department, School of Engineering, The University of Jordan, Amman, Jordan. Osama M. Al-Habahbeh The feasibility of enhancing the efficiency of hybrid fuel-electric airplane is investigated. The airplane model considered in this work is a hybrid version of Aerosonde propelled by an integrated system of internal combustion engine (ICE) and electric motor (EM). Modified versions of Breguet equation are used to calculate the contribution of the ICE propulsion to the range and endurance of the airplane. On the other hand, the range and endurance components due to EM propulsion are calculated using Payne range strategy based on battery capacity. In order to find the most feasible propulsion configuration; multiple configurations are compared; including conventional all-fuel, full-electric, parallel-hybrid and fuel-first strategy (FFS), which is based on parallel-hybrid design, where fuel is burned during the early phases of the flight then the flight is completed in the fully-electric mode. The preceding propulsion types are investigated for all flight phases including takeoff, climb, cruise, descent, and landing. Impact on airplane weight due to additional equipment is considered. It is found that by adopting the FFS, range can be extended by 7% and endurance by 6% above the parallel-hybrid case. In terms of fuel consumption, implementing FFS yields a fuel saving of 6% relative to parallel hybrid. 08 30 2020 40 45 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7374.0891020 https://www.ijitee.org/portfolio-item/J73740891020/ Electronics and Communication Engineering Department, Dr. A.P.J Abdul Kalam University, Indore, India. Rahul Nigam* Santosh Pawar Principal - School of Engineering and Dean- R & D, Dr. A.P.J. Abdul Kalam University, Indore, India. We look over improvements in the schemes of large size content addressable memory (CAM). A CAM is a very important device that executes the routing table function within a single clock cycle in network router to transmit information over the network. CAMs are particularly popular in network switches to classify and sending information packets, they are also helpful in other different applications that require fast information retrieval from routing table. The primary CAM configuration challenge is to decrease power dissipation related with the lot of parallel activity in memory circuitry during search operation. As innovation going on in technology scaling, it continues minimizing the dynamic power dissipation of CAMs, however it also rises the leakage current of transistors. Thus, the static power is turning into a noteworthy bit of the whole power dissipation in CAMs. Here, we introduced a procedure which advantageous for high capacity Ternary Content Addressable Memory (TCAM) that minimize the static power dissipation in SRAM storage cell part and speed up activity in searching part of TCAM cell. We also divide whole memory into equivalent segments which improve performance of our design. We examine the different schemes and introduced the trade-offs of applying the techniques. Simulation and design have done by using Tanned EDA V.16 tool. For recreations of Low power TCAM structures we utilized predictive technology model (PTM) 45nm for high performance (HP) and low power (LP), which incorporate metal gate, high-k and stress effect of CMOS technology. 08 30 2020 35 39 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7376.0891020 https://www.ijitee.org/portfolio-item/J73760891020/ Electronics and Communication, Beant College of Engineering and Technology, Gurdaspur, Punjab, India. Shifali Sharma* Parveen Kumar Associate Professor, Electronics and Communication Beant College of Engineering and Technology, Gurdaspur, Punjab, India Anita Suman Associate Professor, Electronics and Communication Beant College of Engineering and Technology, Gurdaspur, Punjab, India Heterogeneous Network (HetNet) are widely employed networks. These networks bear the responsibility of providing services to customers. But, there are some complexities that occur because of changing the base stations of different regions. To sustain the stability of the services, handover is required to be placed in the network which transfers the request from initial access point or parent station to another. An important study has been conducted to attain better and effective communication results in HetNets. This review displayed a literature survey that recognizes the approaches utilized to execute a handover. Along with this, the whole procedure of HO is also given. This paper may help n analyzing different mechanisms in future research. 08 30 2020 211 214 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I7379.0891020 https://www.ijitee.org/portfolio-item/J73790891020/ Department of Electrical Engineering, Alakh Prakash Goyal Shimla University, Shimla, India. Komivi Démocrite Koudoufio* Anand Mohan Sharma Department of Electrical Engineering, Alakh Prakash Goyal Shimla University, Shimla, India Gopal Singh Department of Electrical Engineering, Alakh Prakash Goyal Shimla University, Shimla, India. Lightning phenomenon over the years has been subject of debate of scientists as well as that of people. For some, it is the manifestation of their deities, and, for others it is nothing but a simple display of colors along with fearsome sounds with a destructive power. We know by the work of scientists like Benjamin Franklin (18th century) that it was not what we used to think, and, has some explanations. We now, have understood how the clouds get charged, and how they, in turn, induce charges on the surface of the earth below them. The different types of strokes were also better understood along the way. With the grasp of the real phenomenon, scientists worked out its multiple threats to transmission lines, and therefore, came up with some protective devices to avoid the total catastrophe that could occur should these strokes be left without any preventive measures. Hence, many protective devices came to life with special applications; one of which the lightning arrester. The latter one helps a lot, especially nearby substations by grounding lightning induced energy. We also know that scientists have been discussing the possibility of capturing lightning energy, and, use it to compensate the deficit in energy demand from the world needs in terms of energy. We are using here a capacitor-lightning arrester combination to try and store the lightning-induced energy in transmission lines. We shall carry out this work by making use of the ability of the capacitor while subjected to a surge, and then, find out about the energy it can store by getting charged up. we shall also make use of SmartDraw software for our designs and models. The aim here is to target how we could possibly break the grounds in the mastering of the ever-lost lightning energy to ground. 08 30 2020 46 49 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7388.0891020 https://www.ijitee.org/portfolio-item/J73880891020/ Bachelors in Information Technology, Vishwakarma Institute of Technology, Pune, India. Megha Sharma* Trip planning requires effort. Majority of which is consumed in balancing preferences of travel and stay; with budget. This effort can be minimized using budget estimator. Summing up the total costs to calculate budget is ideally correct. Practically, budget can differ from individual to individual based on their nature. Some prefer to spend more while some less. Machine Learning could help predict human nature using feedback mechanism. Taking feedback about total cost incurred and comparing it to actual estimate could give insight about user nature to the system. In this paper, we have built a budget estimator that considers user preferences and uses regression algorithm to compute costs. It later asks user to input the actual cost incurred, correcting its previous estimate and uses the updated entry to drive data to be more user-specific. The system gives percent classification of 84% and percent recognition of 72.27%. 08 30 2020 50 54 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7389.0891020 https://www.ijitee.org/portfolio-item/J73890891020/ Department of Computer Science and Engineering, Dayananda Sagar College of Engineering, affiliated to Visvesvaraya Technological University, Bangalore, India. Sunil Kumar V Prof. (Dr.) Ramesh Babu D R Department of Computer Science and Engineering, Dayananda Sagar College of Engineering, affiliated to Visvesvaraya Technological University, Bangalore, India. Vehicular Ad-hoc Networks (VANETs) are gaining rapid momentum with the increasing number of vehicles on the road. VANETs are ad-hoc networks where vehicles exchange information about the traffic, road conditions to each other or to the road-side infrastructures. VANETs are characterized by high mobility and dynamic topology changes due to the high-speed vehicles in the network. These characteristics pose security challenges as vehicles can be conceded. It is critical to address security for the sake of protecting private data of vehicle and to avoid flooding of false data which defeats the purpose of VANETs. Sybil attack is one of the attacks where a vehicle fakes multiple vehicle identity to compromise the whole network. In this work, a direct trust manager is introduced which derives the trust value of each of its neighbor nodes at a regular interval of time. If the trust value is deviated, it confirms sybil attack. The proposed system is compared with the existing system to prove improved sybil attack detection ratio, thus providing better security. NS2 environment is used to prove the simulation results. The experimental results show that the attack detection ratio of SAD-V-DTC is 5 times better than that of the existing system. The packet delivery ratio shows an improvement of 27.27% while the false positive shows a good increase of 65.80% than the existing system. 08 30 2020 67 73 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7392.0891020 https://www.ijitee.org/portfolio-item/J73920891020/ Department of Applied Mathematics, Noakhali Science & Technology University, Noakhali, Bangladesh. Tanjima Akhter* Md. Ariful Islam Department of Robotics & Mechatronics Engineering, University of Dhaka, Dhaka, Bangladesh. Farhana Akhtar Department of Applied Mathematics, Noakhali Science & Technology University, Noakhali, Bangladesh. Azizul Hakim Suzan Department of Computer Science and Telecommunication Engineering, Noakhali Science & Technology University, Noakhali, Bangladesh. Kamrunnahar Department of Bangladesh and Liberation War Studies, Noakhali Science & Technology University, Noakhali, Bangladesh. Herd Immunity is the opposition to the spread of infectious disease like COVID-19 within a population that appears if an adequately high proportion of individuals are immune to the infectious disease. According to infectious disease law, if at least 70 percent of a population becomes resistant to a particular disease or infectious disease, they can no longer spread the disease to the remaining 30 percent of susceptible people. If 70 to 90 percent of total populations in a country are infected by COVID-19, then herd immunity will be obtained and by this way the novel corona virus can be annihilated from that country. According to the World Health Organization, a person infected with corona virus can infect 2.5 people. At least 90 percent of people need to be infected with corona virus to have herd immunity. If there is to be herd immunity in the case of Bangladesh, there are 161.4 million people here, so about 145.5 million people will have to be infected with corona virus. If the infection continues in Bangladesh, there is no way out until herd immunity comes. If Bangladesh makes a decision to go to herd immunity, it is necessary to know the death and infected status in herd immunity stage. In this paper, a model based on Malthusian theory has proposed to make the projection of herd immunity with the status of infected cases, cured cases and death in Bangladesh. The model of exponential growth has implemented to evaluate the time of herd immunity and also to estimate the total death and infected cases. The proposed model has validated using MATLAB and Microsoft excel. 08 30 2020 79 85 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7400.0891020 https://www.ijitee.org/portfolio-item/J74000891020/ Assistant Professor, Department of ECE, R.M.D. Engineering College, Chennai-601206, Tamilnadu, India. C. Raveena* R.Sri Kalaivani Department of ECE, R.M.D. Engineering College, Chennai-601206, Tamilnadu, India. B. Yagna Department of ECE, R.M.D. Engineering College, Chennai-601206, Tamilnadu, India. T.R. Rakshitha Department of ECE, R.M.D. Engineering College, Chennai-601206, Tamilnadu, India In oceanographic studies, underwater imagery plays a vital role. Underwater imaging has some of the advanced applications such as hand-held stereo-cam, fish-pond monitoring, etc. The major sources of quality degradation in most of the underwater imaging processes are scattering and absorption which occurs due to light assimilation. In this paper, we propose a two step-strategy in which the former is the enhancement process and latter is the restoration process. Our unavoidable selective and quantitative appraise uncover that our upgraded pictures and recordings have better accessibility in the dark locales, progressed global and local contrast and better edge sharpness. In order to get rid of image quality impairments, we follow a method which involves only a single image. The major advantage of this method is that it does not require a specialized image-capturing equipment. Moreover, our substantiation gives a better accuracy by deploying Convolutional Neural Network(CNN) algorithm. 08 30 2020 112 117 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7407.0891020 https://www.ijitee.org/portfolio-item/J74070891020/ Electronics and Communication Engineering, Basaveshwar Engineering College (A), Bagalkot, Karnataka, India. Kirankumar Y. Bendigeri* Santosh B. Kumbalavati Electronics and Instrumentation Engineering, Basaveshwar Engineering College (A), Bagalkot, Karnataka, India. Jayashree D. Mallapur Electronics and Communication Engineering, Basaveshwar Engineering College (A), Bagalkot, Karnataka, India. Wireless Sensor Network (WSN) is one of the promising technologies in today’s world. Applications can be from home, science, industry, medical and so on. In every field it is proving to be one of the best methods adopted like for example patient monitoring from home to hospitals using sensors and internet at a low cost is possible. In this paper study on node placement is considered as most of the sensor network has random based deployment of nodes during simulation. Random node placements have densely placed nodes in a certain area and sometimes only few nodes are deployed in a same area. This is purely because of random distribution of nodes and thus has impact on overall performance of WSN. Proposed method considers circular based deployment for routing in WSN with its own algorithm. Circular based node deployment is a combination of random and grid based approach and proves to be effective way of routing packets to destination. Simulation results show that performance of network in terms of computation is better than the existing methods. 08 30 2020 215 221 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I7410.0891020 https://www.ijitee.org/portfolio-item/J74100891020/ Department of Computer Science and Engineering, Jain (Deemed to be University), Bangalore, India. Olawale Adepoju* Dr. Devaraj Verma C Associate Professor, Department of Computer Science and Engineering, Jain (Deemed to be University), Bangalore, India. Breast Cancer is the most often identified cancer among women and a major reason for the increased mortality rate among women. As the diagnosis of this disease manually takes long hours and the lesser availability of systems, there is a need to develop the automatic diagnosis system for early detection of cancer. The advanced engineering of natural image classification techniques and Artificial Intelligence methods has largely been used for the breast-image classification task. Data mining techniques contribute a lot to the development of such a system, Classification, and data mining methods are an effective way to classify data. For the classification of benign and malignant tumors, we have used classification techniques of machine learning in which the machine learns from the past data and can predict the category of new input. This study is a relative study on the implementation of models using Support Vector Machine (SVM), and Naïve Bayes on Breast cancer Wisconsin (Original) Data Set. With respect to the results of accuracy, precision, sensitivity, specificity, error rate, and f1 score, the efficiency of each algorithm is measured and compared. Our experiments have shown that SVM is the best for predictive analysis with an accuracy of 99.28% and naïve Bayes with an accuracy of 98.56%. It is inferred from this study that SVM is the well-suited algorithm for prediction. 08 30 2020 55 61 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7411.0891020 https://www.ijitee.org/portfolio-item/J74110891020/ Electrical and electronics engineering department, National institute of technology Mizoram, Aizawl, Mizoram, India. Suman Jana* Pabitra Kumar Biswas Electrical and electronics engineering department, National institute of technology Mizoram, Aizawl, Mizoram, India. Lightning is a very high voltage electrostatic emission consisting of highly charged electrostatic particles. However, limited literature is available in the field of the Lightning energy harvesting area due to the hazards involved and the intermittent nature of lightning. A lightning bolt does have convenient energy. Still, empirically, energy harnessing and storage is a difficult task due to confusion existed in the selection of impulse storage device. This paper presents a feasibility analysis of supercapacitors to store energy extracted from a high voltage surge. The analysis is performed by connecting the impulse generator as a source of the supercapacitor. Different loads are connected sequentially with the supercapacitor to assess the applicability of the proposed numerical model. The impulse generator is designed in the simulation model as a replica of the Tesla coil hardware constructed for the lightning energy conversion system. Lightning energy conversion system is an innovative system which can convert high voltage lightning in storable form. Also, a real-time pulse has been generated for the Seven level inverter by interfacing Atmel ATMEGA328P-PU microcontroller in the MATLAB environment. The computational model used in this paper produced 0.0027% to 0.7% SOC percentage of supercapacitor for single waveform and different loads. This paper may drive the lightning energy research towards a positive influence by its conceptual resolution. 08 30 2020 126 133 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7415.0891020 https://www.ijitee.org/portfolio-item/J74150891020/ Assistant professor, Information Science and Engineering, Ramaiah Institute of Technology, Bangalore, India. Shruthi G.* Ayesha A. Information Science and Engineering, Ramaiah Institute of Technology, Bangalore, India. The current generation is witnessing a radical change in technology with the rise of artificial intelligence. The application of artificial intelligence on different domain indicates the widespread involvement of this technology in the years to come. One such application is on medical image classification such as brain tumor classification. The process of medical image classification involves techniques from the image processing domain to process set of MRI image data in order to extract prominent feature that eases the classification process. The classifier model learns the MRI image data to predict the occurrence of the tumor cells. The objective of this paper is to provide knowledge pertaining to various approaches implemented in the field of machine learning applied to medical image classification as preparation of the MRI dataset to a standard form is the key for developing classifier model. the paper focus to analyses different types of preprocessing methods, image segmentation, and feature extraction methodologies and inscribes to points out the astute observation for each of techniques present in image processing methodologies. As predicting tumor cells is a challenging task because of its unpredictable shape. Hence emulating an appropriate methodology to improve the accuracy and efficiency is important as it aids in constructing a classifier model that can accelerate the process of prediction and classification for the brain tumor MRI imagery. 08 30 2020 86 92 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7419.0891020 https://www.ijitee.org/portfolio-item/J74190891020/ Division of Business Administration, Sangmyung University. Youngkeun Choi* Jae Won Choi Department of Computer Science, University of Texas at Dallas. Machine learning techniques are used to verify the many kinds of loan prediction problems. This study pursueS two major goals. Firstly, this paper is to understand the role of variables in loan prediction modeling better. Secondly, the study evaluates the predictive performance of the decision trees. The corresponding variable information is drawn from a third-party website, international challenge on the popular internet platform Kaggle (www.kaggle.com), which provides data in the title of ‘Loan Prediction’ that was uploaded by Amit Parajapet. We used decision tree which is a powerful and popular machine learning algorithm to this date for predicting and classifying big data. Based on these results, first, women seem to be more likely to get to loan than men. credit history, self-employed, property area, and applicant income also show significance with loan prediction. This study contributes to the literature regarding loan prediction by providing a global model summarizing the loan prediction determinants of customers’ factors. 08 30 2020 265 268 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7428.0891020 https://www.ijitee.org/portfolio-item/J74280891020/ Department of Electrical Engineering, Government College of Engineering, Aurangabad, India. Mrs. Tejeshree J. Bhangale Dr. S M Shinde Department of Electrical Engineering, Government College of Engineering, Aurangabad, India. Nowadays problems are occurring due to power quality issues which causes major impression in power system. Most of the times problem is of harmonics in the supply system. It occurs due to Non-Linear Load and it could be rectified by using filters, controllers and artificial intelligence. In this paper, the Fuzzy logic controller is designed using Takagi- Sugeno fuzzy inference system to eliminate harmonics and uncertainty in the supply system thereby improving the response of whole system. The Selective Harmonic Elimination Pulse Width Modulation (SHEPWM) control scheme is used to generate the necessary pulses to eliminate the lower order harmonics. The results for both fuzzy logic controller (FLC) and PI Controller are compared, and the simulation is designed in MATLAB Simulink. 08 30 2020 93 100 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7430.0891020 https://www.ijitee.org/portfolio-item/J74300891020/ Department of Electrical and Electronic Engineering, Akwa Ibom State University, Ikot Akpaden, Mkpat Enin, Akwa Ibom State, Nigeria. Emmanuel Ubom Victor Idigo Department of Electronic and Computer Engineering, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria. Ubong Ukommi Department of Electrical and Electronic Engineering, Akwa Ibom State University, Ikot Akpaden, Mkpat Enin, Akwa Ibom State, Nigeria. To encourage secondary spectrum access within the TV broadcast bands in Nigeria, the propagation properties of TV signals on the VHF and UHF frequency ranges were empirically studied through measurements carried from two TV stations. The Pathloss exponent for the VHF band was found to be 1.9 with a characterised Pathloss equation for VHF band computed as 𝑷𝑳 (𝒅𝑩)=𝟖𝟒.𝟎𝟒+𝟏𝟗.𝟎𝟑𝒍𝒐𝒈𝟏𝟎(𝒅), where (𝒅) is the distance from the transmitter to the receiver. The UHF band Pathloss exponent was computed to be 1.8 with a Pathloss equation characterised as 𝑷𝑳 (𝒅𝑩)=𝟓𝟕.𝟑𝟓+𝟏𝟕.𝟗𝟔𝒍𝒐𝒈𝟏𝟎(𝒅). The findings re-echoed the need for specific prediction model to accurately estimate the service coverage of TV stations and facilitate effective utilization of spatial TV white space as it was found that there were divergence in coverage prediction between the measured model and some of the conventional models. Using the protection view point, the protection contour in kilometers for TV signals propagating in the UHF band in Nigeria was characterized to be 𝒅𝒓𝒑= 𝟏𝟎[𝑷𝒕+𝟑𝟐.𝟔𝟓 𝟏𝟕.𝟗𝟔].. Where (𝒅𝒓𝒑) is the protection contour radius modeled as a function of the transmit power of the TV station in decibels with reference to one milliwatt (dBm) for co-channel and adjacent channel coverage. Similarly, the no-talk-zone in kilometers was characterized as a function of the transmit power of the secondary user device in dBm for co-channel usage to be 𝒅(𝒓𝒏−𝒓𝒑)=𝒂𝒏𝒕𝒊𝒍𝒐𝒈[𝑷𝒔−𝟖𝟗.𝟕𝟔𝟏𝟕.𝟗𝟔] modeled as a function of the secondary user transmit power 𝑷𝒔. The separation distance in kilometers from the TV station to the possible secondary user transmitter beyond which no interference exist was computed to have a relationship equal to 𝒂𝒏𝒕𝒊𝒍𝒐𝒈⟦𝑷𝒕+𝑷𝒔−𝟓𝟕.𝟏𝟏𝟏𝟕.𝟗𝟔⟧. This model will facilitate TVWS co-channel coexistence using the specified equation to determine the separation distances between television transmitters and secondary user transmitters. 08 30 2020 174 180 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7439.0891020 https://www.ijitee.org/portfolio-item/J74390891020/ Department of Computer Science and Engineering, GNDU, Amritsar, Punjab, India. Amandeep Singh Amit Chhabra Assistant Professor, Department of Computer Science and Engineering, GNDU, Amritsar, Punjab, India. As with the changing lifestyle and people consuming high calorie diet increases the heart disease rate among the humans. Over the last decade heart related diseases are one of the leading cause of death cases every year. It is very hard to notice the symptoms of any heart related disease at early stage and in many cases it leads to sudden death before ever knowing the first symptom of any heart related problem. With the advancement of technology there are many devices which are used to perform several tests in the medical field and with the emerging trend of Machine learning doctors can be aided to find symptoms of heart disease . There is huge amount of patients health data collected by healthcare institutes which can be used for data mining and infer relationship between data and helps in predicting heart diseases. The machine learning models trained on patients record data which shows symptoms is used to predict the probability for having a heart disease. 08 30 2020 250 253 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7441.0891020 https://www.ijitee.org/portfolio-item/J74410891020/ Principal&Professor, Bapatla Women’s Engineering College, Bapatla, AP, India, Dr. Dipak Ranjan Jana* Sumalatha Emmela Assistant Professor, Department of ECE, Bapatla Women’s Engineering College, Bapatla, AP, India, Ch. Monika Final Year Student, Department of ECE, Bapatla Women’s EngineeringCollege, Bapatla, AP, India D. Archana Final Year Student, Department of ECE, Bapatla Women’s Engineering College, Bapatla, AP, India K. Thulasi Priya Final Year Student, Department of ECE, Bapatla Women’s Engineering College, Bapatla, AP, India K. Yamini Final Year Student, Department of ECE, Bapatla Women’s Engineering College, Bapatla, AP, India Fatal accidents are increasing day-by-day due to the failure of wheel bearing, unbalancing of wheel and tyre bursting due to increase in the temperature. Bearing is the most important mechanical device on which the wheel performance of a vehicle depends. Lack of proper periodic maintenance of the bearing leads to the failure of bearing, which results in wheel misalignment. Hence, tyres with wheels come out from the axial in moving condition, which results in accidents. Bearing failure can also be due to bearing buckling, scratches, nicks, discoloration, corrosion and crack. This can be due to lack of lubrication or overheating etc. Also due to improper tyre pressure, harsh braking and increase in the temperature of the tyre, tyre gets heated up causing tyre bursting which leads to fatal accidents. The main objective is to detect tyre temperature and wheel alignment deviation, thereby providing indication through audio-visual system which prevents accidents of the vehicle and the driver from an injury or death. Hence, we have used ARDUINO UNO, ULTRASONIC SENSOR, LEDS, DHT-11 SENSOR and BUZZER. 08 30 2020 150 153 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7442.0891020 https://www.ijitee.org/portfolio-item/J74420891020/ M.E. Student, Department of Civil Engineering, Ujjain Engineering College, Ujjain (M.P.), India Anshul Shrivastava* Dr. Savita Maru Professor, Department of Civil Engineering, Ujjain Engineering College, Ujjain (M.P.), India. An analysis is given for the medium-rise building with fixed base and other with base isolation device. The device hereby used for base isolation is Fiber-reinforced Elastomeric Isolator (FREI). The Fiber-reinforced Elastomeric Isolator is an isolator which uses fiber fabric material instead of steel thin plates. The main purpose of using FREI is to analyze the seismic response of medium-rise RCC frame building. As in past many research work have been carried out for low-rise building. Therefore, in this paper (G+4), (G+6), (G+8) Storey building are taken for study and analysis has been demonstrated using commercial software ETABS v17. The design of Fiber Reinforced Elastomeric Isolators is broadly based on the guidelines of ASCE 7-10. The response spectrum analysis of different storey are based on Indian Design Standard. In addition to the design of FREI, a comparison between fixed based and base isolated RCC frame building has been carried out in the form of time period, displacement, drift at various load combination. The above parameter is taken to check whether it can withstand the loads and seismic forces without any failure. 08 30 2020 118 125 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7447.0891020 https://www.ijitee.org/portfolio-item/J74470891020/ Professor &Principal, Bapatla Women’s Engineering College, Bapatla, AP, India, Dr. Dipak Ranjan Jana TURAKA SOWMYA Assistant Professor, Department of ECE, Bapatla Women’s Engineering College, Bapatla, AP, India M.Leela Priyanka Final Year Student, Department of ECE, Bapatla Women’s Engineering College, Bapatla, AP, India N.V. Bhargavi Final Year Student, Department of ECE, Bapatla Women’s Engineering College, Bapatla, AP, India P. Sannihitha Final Year Student, Department of ECE, Bapatla Women’s Engineering College, Bapatla, AP, India P. Sandhya Final Year Student, Department of ECE, Bapatla Women’s Engineering College, Bapatla, AP, India This work provides information to determine the sudden hazardous living or non–living materials in front of vehicles on either side, i.e.180 degree across will indicate the drivers for stopping the vehicles automatically with ANDON and BUZZER. Then the vehicle will automatically turn on either side safely. For Sudden detection of obstacles, specifically waterfall at certain height, rock rolling down, landslides, earthquake, animals, abnormal things and tree fallen on the road 90 degree on either side. ANDON and BUZZER system is for visual indication along with voice monitoring for indication to front and back vehicles. Successful display of distance and identified object will be displayed in the LCD. The mainly used components for this project are the use of preventing and corrective action through ARDUINO MEGA, ULTRASONIC SENSORS, VIBRATION SENSOR SW-420 and LDR MODULE. 08 30 2020 154 157 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7449.0891020 https://www.ijitee.org/portfolio-item/J74490891020/ Department of ECE, G. Narayanamma Institute of Technology and Science, India. Reshmitha Bethi Sujatha Allipuram Department of ECE, G. Narayanamma Institute of Technology and Science, India. In wireless data transmission, providing security over communication channels has become a growing concern. Traditionally cryptography is used to provide secrecy. However, physical layer studies show that it allows a huge potential in providing secrecy. In this paper, secrecy outage probability is derived for Rician fading channels. A new secrecy metric Generalized Secrecy Outage Probability(GSOP) derivation is considered to overcome the limitation of traditional Outage probability for both passive and active cases of eavesdropping. 08 30 2020 254 259 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7450.0891020 https://www.ijitee.org/portfolio-item/J74500891020/ Assistant Lecturer at faculty of Engineering Beni-Suef University, Egypt Mohamed Youssef Mohsen Youssef Hany Ibrahim Ahmed Department of Civil Engineering, Faculty of Engineering, Higher Technological Institute, Egypt, Hany Sobhy Riad Department of Civil Engineering, Faculty of Engineering, Higher Technological Institute, Egypt, Dr. Amr Ali Abdel Rahman Structural Engineering Department and Professor of Concrete Structures, Ain Shams University The present paper proposes scientific and practical methodology to update the concept of the constant sleeper spacing along the railway track to be reset according to the affecting normal forces caused by passenger and freight trains. The proposed methodology has developed a suitable sleeper spacing plan according to three cases which are train acceleration, uniform speed and braking on -5 ‰, 0 ‰ and 5‰ grades. The study aims to determine the actual acceleration length, braking length, longitudinal forces, displacement index and finally the suitable sleeper spacing for each part on the track, then calculating the saving in sleepers for the following cases: passenger train runs on single or double track, freight train runs on single or double track and mixed traffic (passenger and freight) runs on single or double track. 08 30 2020 134 149 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7451.0891020 https://www.ijitee.org/portfolio-item/J74510891020/ Lovely Professional University, Phagwara, Punjab, India. Ramandeep Kaur* Dr. V. Devendran Professor, Lovely Professional University, Phagwara, Punjab, India. Image recovery was one of the most thrilling and vibrant fields of computer vision science. Content-based image retrieval systems (CBIR) are used to catalog, scan, download and access image databases automatically. Color & texture features are significant properties for content-based image recovery systems. The content-based image retrieval (CBIR) is therefore an attractive source of accurate and quick retrieval. Number of techniques has been established in recent years to improve the performance of CBIR. This paper discusses why CBIR is important nowadays along with the limitations and benefits. Apart from applications, various feature extraction techniques used in CBIR are also discussed. 08 30 2020 222 228 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7453.0891020 https://www.ijitee.org/portfolio-item/J74530891020/ Department. of Mechanical Engineering, SSSUTMS, Sehore, Bhopal, M.P, India Paresh G Chaudhary Dr.G.R. Selokar Professor and Registrar in SSSUTMS, Sehore, Bhopal, M.P, India. This paper briefs about the several facts about the Engine Bracket which plays a vital role in any Automobile. Engine bracket is sustaining heavier shocks on roads so it’s being very crucial to analyses this component on stress point of view and minimize the stress to maximum possible extent. An attempt is made in this paper to reduce the stress occurring in the component by varying the materials and by changing the geometrical conditions and to find out best combination of material as well as geometry which will ultimately satisfy all engineering conditions. The design part of the component has covered with the help of CATIA software and the whole analysis part is done with the help of ANSYS software. The current paper will also cover some historical references of the relevant data and conclusions from them so that future researches can easily grab those references. Ultimately this paper will result in suggesting the best combination of material and geometry which will sustain at mentioned engineering frequency. 08 30 2020 165 168 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7455.0891020 https://www.ijitee.org/portfolio-item/J74550891020/ Computer Science, Cambridge Institute of Technology, Bangalore, India. Geetha Peethambaran* Chandrakant Naikodi Department of PG Studies and Research Centre Davangere University, Bangalore, India. Suresh Lakshmi Narasimha Setty Computer Science, Cambridge Institute of Technology, Bangalore, India. Data analytics is an evolving arena in today’s technological evolution. Big data, IoT and machine learning are multidisciplinary fields which pave way for large scale data analytics. Data is the basic ingredient in all type of analytical tasks, which is collected from various sources through online activity. Data divulged in these day-to-day activities contain personal information of individuals. These sensitive details may be disclosed when data is shared with data analysts or researchers for futuristic analysis. In order to respect the privacy of individuals involved, it is required to protect data to avoid any intentional harm. Differential privacy is an algorithm that allows controlled machine learning practices for quality analytics. With differential privacy, the outcome of any analytical task is unaffected by the presence or absence of a single individual or small group of individuals. But, it goes without saying that privacy protection diminishes the usefulness of data for analysis. Hence privacy preserving analytics requires algorithmic techniques that can handle privacy, data quality and efficiency simultaneously. Since one cannot be obtained without degrading the other, an optimal solution that balances the attributes is considered acceptable. The work in this paper, proposes different optimization techniques for shallow and deep learners. While evolutionary approach is proposed for shallow learning, private deep learning is optimized using Bayesian method. The results prove that the Bayesian optimized private deep learning model gives a quantifiable trade-off between the privacy, utility and performance 08 30 2020 181 187 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7456.0891020 https://www.ijitee.org/portfolio-item/J74560891020/ Associate Professor, Department of Information Technology, Manakula Vinayagar Institute of Technology, Puducherry, India. Dr. A. Meiappane Giridharan Final Year, Department of Information Technology, Manakula Vinayagar Institute of Technology, Puducherry, India. V. Jayaram Final Year, Department of Information Technology, Manakula Vinayagar Institute of Technology, Puducherry, India. K. Manikandan Final Year, Department of Information Technology, Manakula Vinayagar Institute of Technology, Puducherry, India. M. Vishnu Final Year, Department of Information Technology Manakula Vinayagar Institute of Technology, Puducherry, India. Attendance Management System under unconstrained video using face recognition technology has made a great variation from the traditional method of attendance marking system. This attendance management system has been developed under the domain of Deep Learning by using Face recognition. Automatic Attendance Management under unconstrained video using face recognition systems which automatically mark attendance by detecting end to end face from the frames obtained from live stream video of surveillance camera which placed in center of the classroom. From the recognized faces, it will be compared with stored images in database, then the attendance report will be generated and it also provides attendance reports to parents of the absentee’s student. 08 30 2020 229 232 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7460.0891020 https://www.ijitee.org/portfolio-item/J74600891020/ Department of Information Technology, Walchand College of Engineering, Sangli, India. Omkar Patil* Umesh Chavan Department of Information Technology, Walchand College of Engineering, Sangli, India. Humans have been using their domain expertise intelligently and skillfully for making decisions in solving a problem. These decisions are made based on the knowledge that they have acquired through experience and practice over a course of time, which will be lost after the expert’s life ends. Hence, this expert knowledge is required to be stored to a database and a machine could be intelligently programmed which could use this knowledge to make decisions, known as an Expert System (ES). This system tries to emulate the decision-making skills of a domain expert by gathering knowledge of the domain experts, storing it to a knowledge base in rule format, and then using those rules to analyze the given data and provides solutions to the problems. These Expert Systems can be utilized to analyze the system log files, find issues logged into those log statements and provide solutions to the errors that are found in those logs. 08 30 2020 188 192 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7466.0891020 https://www.ijitee.org/portfolio-item/J74660891020/ Faculty of Innovative Design and Technology, Universiti Sultan Zainal Abidin, Terengganu, Malaysia. S.M. Sharun* N.A.S. Musa Asri Faculty of Innovative Design and Technology, Universiti Sultan Zainal Abidin, Terengganu, Malaysia. S.H.Y.S Abdullah Faculty of Innovative Design and Technology, Universiti Sultan Zainal Abidin, Terengganu, Malaysia. In the current market, the acrylic cutter and bending machine is mostly available in big size and equipped with advanced system processes for large industrial application. This is undesirable since the cost of the machine can be quite expensive for a small industry. This paper proposed the development of a low-cost semi-automatic acrylic cutter and bending machine to cater to the small industry requirement. The design methodology has been accomplished using engineering design method to propose a suitable design semi-automatic acrylic cutter and bending machine based on commercially available design. A 3D representation of the machine was generated with the help of Autodesk Inventor 2019 to visualize all the details concerning the semi-automatic acrylic cutter and bending machine. The semi-automatic acrylic cutter and bending machine are designed for cutting, bending, and finishing acrylic sheet in simple manual operation. The machine was fabricated using industrial material specifications such as plywood and hollow steel to ensure the effectiveness of semi-automatic acrylic cutter and bending machine. This semi-automatic acrylic cutter and the bending machine was also equipped with a table that can be adjusted to different heights. The performance of the machine was tested by cutting and bending different thicknesses of the acrylic sheet and polishing of the acrylic sheet. The results found that the semi-automatic acrylic cutter and bending machine is capable of handling the thickness of the acrylic sheet up until 5 mm in a single operation. The developed machine was able to cut the acrylic sheet up to 5 mm thickness and bend from 0 to 180 degrees. Thus, this machine could provide a highly ergonomic solution that responds to the needs of small industrial applications. 08 30 2020 233 237 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7469.0891020 https://www.ijitee.org/portfolio-item/J74690891020/ Department of Computer Science and Engineering Vidyavardhaka College of Engineering Mysuru, India. Pawan S Nadig Pooja G Department of Computer Science and Engineering Vidyavardhaka College of Engineering Mysuru, India. Kavya D Department of Computer Science and Engineering Vidyavardhaka College of Engineering Mysuru, India. R Chaithra Department of Computer Science and Engineering Vidyavardhaka College of Engineering Mysuru, India. Radhika A D Department of Computer Science and Engineering Vidyavardhaka College of Engineering Mysuru, India. The following paper describes the design of a system which does text to speech generation for one of the regional language’s Kannada. The printed document of Kannada text is given as input to the system, the system then converts the document to an image format. Pre-processing is done to stabilize the intensity of the images and clear the artifacts. This process boosts the precision and interpretability of an image. Optical Character Recognition (OCR) is used to unsheathe the segmented characters from a particular image and are matched with the characters that have been stored in the dataset. Once the matched characters are extracted it is stored in a suitable format and then the TTS engine is deployed to convert the saved Kannada characters to a speech format. The obtained speech output corresponds to the characters which are collected after processing the input text. 08 30 2020 288 292 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7470.0891020 https://www.ijitee.org/portfolio-item/J74700891020/ Department of EEE, SASTRA Deemed to be University, Thanjavur, India. Dr. D. Karthikaikannan* Nikitha. M Department of EEE, SASTRA Deemed to be University, Thanjavur, India. Pratheksha Jerline. L Department of EEE, SASTRA Deemed to be University, Thanjavur, India. Aishwarya. T Department of EEE, SASTRA Deemed to be University, Thanjavur, India. Economic load dispatch is the method to find the optimum power output of the generators in a network cost-effectively with adherence to all the constraints. In this paper, the Economic Load Dispatch (ELD) problem has been tested on IEEE 14 Bus System by implementing conventional methods like Classical Coordination method, Gradient method, Modified Coordination method, and Particle Swarm Optimization (PSO). Conventional methodologies provide the solution in the simplest way but it does not handle the constraints effectively. Modified coordination method provides a better solution without the use of B-coefficients and the calculation of penalty factors is much easier because they can be obtained from the already available solution of FDLF involving some computations. PSO also provides a better solution but the initial design parameters are slightly difficult to determine. The performance of all the methods is compared and results reveal that the Modified coordination method proves to be the fastest among other solutions particularly if larger systems are involved. 08 30 2020 243 249 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7475.0891020 https://www.ijitee.org/portfolio-item/J74750891020/ Department of Computer Science & Engineering , Haldia Institute of Technology, Haldia,West Bengal, India. Sumanta Kuila* Namrata Dhanda Department of Computer Science & Engineering ,Amity School of Engineering & Technology, Amity University Uttar Pradesh, Lucknow Campus, Lucknow, Uttar Pradesh, India. Subhankar Joardar Department of Computer Science & Engineering , Haldia Institute of Technology, Haldia, West Bengal, India. Electro cardiogram (ECG) signals records the vital information about the condition of heart of an individual. In this paper, we are aiming at preparing a model for classification of different types of heart arrhythmia. The MIT-BIH public database for heart arrhythmia has been used in the case of study. There are basically thirteen types of heart arrhythmia. The Principal Component Analysis (PCA) algorithm has been used to collect various important features of heart beats from an ECG signal. Then these features are trained and tested under Support Vector Machine (SVM) algorithm to classify the thirteen classes of heart arrhythmia. In the paper the proposed algorithm has been discussed and the outcome results have been validated. The result shows that the accuracy of our classifier in our research work is more than 91% in most of the cases. 08 30 2020 193 198 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7481.0891020 https://www.ijitee.org/portfolio-item/J74810891020/ Research Scholar, Department of Computer Science, Maharishi University of Information Technology Lucknow (UP), India. Rakesh Kumar Singh* Dr Ajay Kumar Bharti Professor, Department of Computer Science, Maharishi University of Information Technology Lucknow (UP), India. There are many remote areas where traditional computer networks cannot render services due to unavailability of infrastructure. Among these infrastructure less networks, most popular choice for researchers are wireless sensor network in the modern era. Wireless Sensor networks perform the communication in remote areas where it is difficult to deploy the layout of network. Clustering hierarchy (LEACH) protocol is still a landmark as energy saving protocol for the researchers of wireless sensor network (WSN) even after 20 years of its existence. Since its inception, many modifications of LEACH protocol have been proposed. All the routing protocols have been divided into two categories namely single hop and multi hop scenarios. In this paper, we studied and surveyed various LEACH based routing protocols presented by researchers so far and discussed the advantages and functioning of them in comparison to LEACH protocol. The paper also discusses the merits and demerits of different successors of LEACH. In the end, paper concludes with future research directions in the Wireless sensor network area. 08 30 2020 364 369 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7489.0891020 https://www.ijitee.org/portfolio-item/J74890891020/ Department of Computer Science and Application, Rabindranath Tagore University, Bhopal, India. Shikha Ujjainia* Pratima Gautam Dean (CSIT), Rabindranath Tagore University, Bhopal, India. S. Veenadhari Associate Professor (CSE), Rabindranath Tagore University, Bhopal, India. This research is done to find out the production dependability of crop with various physical circumstances. The prediction can also be done of a crop yield by using the model of regression and it is mainly discussed in this paper. Machine learning is an emerging research area in Agriculture, particularly in crop yield analysis and prediction. There are some complex data which are tough to decode or find by everyone, the strategies of machine learning can be used in this scenario and automatically the valuable underlining pattern can be accessed. Various complex decision-making activities can be performed when the feature of machine learning will enable the knowledge and patterns which are unseen about any problem. The future events can also be predicted. In the growing season as possible, a farmer is focused on conceptualizing how much yield they except. Like many other regions, the amount of agricultural data is increasing at the daily source. This paper aims to predict crop yield on the collected agricultural dataset. The regression analysis model is used to test the accuracy and effective predictions of the rice crop yield in India. Linear regression is used to establish a relationship between various environmental variables like temperature, rainfall, etc and the crop yield. It is important to measure the possible production of rate of crop and the farmers will be benefitted by the result of this prediction. As financial impact is attached of the farmers with the yield production, the research will support them to avoid any loss. The accuracy of the prediction through regression model is also observed in this research paper. 08 30 2020 269 273 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7491.0891020 https://www.ijitee.org/portfolio-item/J74910891020/ Mechanical Engineering department, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India. Aakash Jannumahanthi Sivanesan Murugesan Mechanical Engineering department, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India. Extensive research has been carried out on the prediction of diesel engine performance. Machine learning techniques such as support vector regression technique makes the performance predictions simpler. Support vector regression is a regression algorithm used to minimize the error with a threshold value and tries to fit the best line with a threshold value. In this paper, a detailed study of diesel engine performance using support vector regression and performance metrics such as brake thermal efficiency and accuracy are explored. Findings specify that support vector regression is an efficient technique for diesel engine performance that validates and compares the actual performance with high accuracy. For engine performance, the support vector machine supports to reduce the time and cost of testing. 08 30 2020 260 264 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7494.0891020 https://www.ijitee.org/portfolio-item/J74940891020/ Student, Department of Electrical Engineering, AISSMS IOIT, Pune, India. Laxmi Balappa Bavage The paper presents quasi-Z source series resonant dc–dc converter with high performance for PV applications. Their multimode operation property features wide input voltage and load regulation range. Multimode operation achieved by pulse width modulation and phase shift modulation which gives boost and buck operating modes. Paper includes experimental setup which ensures 13volts ripple free output voltage. 08 30 2020 294 298 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7498.0891020 https://www.ijitee.org/portfolio-item/J74980891020/ Student, Department of Mechanical Engineering, Priyadarshini College of Engineering, Nagpur, Maharashtra, India. V Amit M Naidu Prof. S.D. Shelare Assistant Professor, Department of Mechanical Engineering, Priyadarshini College of Engineering, Nagpur, Maharashtra, India. Prof. S.M. Awatade Assistant Professor, Department of Mechanical Engineering, Priyadarshini College of Engineering, Nagpur, Maharashtra, India. In the present study of Aluminum Metal Matrix Composites (AMMCs), specifically speaking, in our case Al-SiC-graphite have been discussed on the basis of literature review, comprising of similar characteristics of base aluminum alloy but not completely identical. Aluminum metal matrix composites have different properties when compared with Cast Iron and Aluminum. This difference in properties gives us a chance to design components which may give better results than the conventional ones. In a new approach, we are trying to develop new components for 4 Stroke Petrol Engine namely piston & connecting rod, which would have better Tensile Strength, Young’s Modulus & Low Thermal Conductivity as compared to the pure Aluminum. Paper Setup must be in A4 size with Margin: Top 0.7”, Bottom 0.7”, Left 0.65”, 0.65”, Gutter 0”, and Gutter Position Top. Paper must be in two Columns after Authors Name with Width 8.27”, height 11.69” Spacing 0.2”. Whole paper must be with: Font Name Times New Roman, Font Size 10, Line Spacing 1.05 EXCEPT Abstract, Keywords (Index Term), Paper Tile, References, Author Profile (in the last page of the paper, maximum 400 words), All Headings, and Manuscript Details (First Page, Bottom, left side).Paper Title must be in Font Size 24, Bold, with Single Line Spacing. Authors Name must be in Font Size 11, Bold, Before Spacing 0, After Spacing 16, with Single Line Spacing. Please do not write Author e-mail or author address in the place of Authors name. Authors e-mail, and their Address details must be in the Manuscript details. Abstract and Keywords (Index Term) must be in Font Size 9, Bold, Italic with Single Line Spacing. All MAIN HEADING must be in Upper Case, Centre, and Roman Numbering (I, II, III…etc), Before Spacing 12, After Spacing 6, with single line spacing. All Sub Heading must be in Title Case, Left 0.25 cm, Italic, and Alphabet Numbering (A, B, C…etc), Before Spacing 6, After Spacing 4, with Single Line Spacing. Manuscript Details must be in Font Size 8, in the Bottom, First Page, and Left Side with Single Line Spacing. References must be in Font Size 8, Hanging 0.25 with single line spacing. Author Profile must be in Font Size 8, with single line spacing. Fore more details, please download TEMPLATE HELP FILE from the website. 08 30 2020 238 243 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7509.0891020 https://www.ijitee.org/portfolio-item/J75090891020/ Assistant Professor, Electrical and Electronics Department of Engineering, RV College of Engineering, Bengaluru, India. M D Asif Dr. Hemalatha J N Assistant Professor, Electrical and Electronics Department of Engineering, RV College of Engineering, Bengaluru, India. Anil Baby Assistant Professor, Electrical and Electronics Department of Engineering, RV College of Engineering, Bengaluru, India. Advancement in electronics prompted for incremental usage of power supplies in digital circuits. In devices such as Central Processing Unit (CPU), Graphic Processing Unit (GPU) a Voltage regulator (VR) is utilized for microprocessors powering application. During load transients, microprocessor input voltage losses stability. High speed devices need quick response from the converters under transient conditions. Therefore, futuristic electronic devices demand a VR with new control schemes to operate at low operating voltage with improved efficiency thereby improving light load efficiency. In this paper a comparative study about the performance of Constant on Time (COT) controller with and without Adaptive Voltage Positioning (AVP) technique is presented. . The aim of the paper is to present the idea of AVP with COT during transients. Since load transient demands large number of capacitors to maintain stable voltage but increases the cost and volume. Thus, to overcome the transient time frame problem, voltage spikes and to reduce the number of capacitors. The converters need to operate under a new control scheme i.e. COT controller with AVP. Simulation of the voltage regulator is carried out for both Non AVP and AVP compliant schematics in LTSpice software. The simulation results show Non-AVP topology with output voltage spikes for 445uF but the AVP compliant topology with 222uF shows smooth output voltage transition. 08 30 2020 322 328 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7514.0891020 https://www.ijitee.org/portfolio-item/J75140891020/ Senior Lecturer, Department of Civil Engineering, Brawijaya University, MT. Haryono 167, Malang, Indonesia. Prof. Sri Murni Dewi Dr. Eng. Lilya Susanti Assistant Professor, Department of Civil Engineering, Brawijaya University, MT. Haryono 167, Malang, Indonesia. Dr. Eng. Ming Narto Wijaya Assistant Professor, Department of Civil Engineering, Brawijaya University, MT. Haryono 167, Malang, Indonesia. The slag cement industry in Indonesia is growing in tandem with the smelter industry as a supplier of slag material. The use of slag cement instead of ordinary cement can reduce CO2 emissions. This research aimed to design the mixture composition of slag cement and ordinary cement for high-strength concrete. Standard concrete cylinders and concrete beams were tested to gain the compressive, tensile and flexural strength. The testing results indicate that generally, the concrete mixture compositions of low GGBFS (25%) gained their optimum strength at the age of 28 days while concrete with high composition of GGBFS (55%) achievedsimilar strength at the age of 90 days.A mixture using higher percentage replacement of GGBFS might attain its optimum strength at the longer ages. The use of Silica Fume (SF) in high-strength concrete mixtures with GGBFS found ineffective to increasethe concrete strength as the results indicate that concretes with SF have lower strength compared with non-SF concrete mixtures. 08 30 2020 406 412 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7517.0891020 https://www.ijitee.org/portfolio-item/J75170891020/ Department of Electrical and Electronics Engineering GL Bajaj Institute of Technology & Management Greater Noida, India. Shivangi Garg* Prachee Tiwari Department of Electrical and Electronics Engineering GL Bajaj Institute of Technology & Management Greater Noida, India. Shubham Gupta Department of Electrical and Electronics Engineering GL Bajaj Institute of Technology & Management Greater Noida, India. Brijesh Prasad Department of Electrical and Electronics Engineering GL Bajaj Institute of Technology & Management Greater Noida, India. Hiritik Mohan Department of Electrical and Electronics Engineering GL Bajaj Institute of Technology & Management Greater Noida, India. The intelligent door lock system supercharged by Amazon net Services. The objective of our project is to enhance security in official and residential places by automation and ease-of-access. A guest once he reaches the door step and press the bell button, greets the visitant by his/her specific identity, apprize the landlord concerning the visitor and associate in nursing keep in mind an unknown visitor. That place landlord will identify the identity of visitor by call on - "Alexa, who is at the door?" and Alexa will obey the instruction given by the owner. We propose to design a custom Alexa skill which helps in identifying the visitors and navigate him/her inside the place or home without moving anywhere. Security is important concern in today's world. In these days’ homes are primarily equipped with a minimum of one Virtual help Devices like Alexa, Google Assistant etc. that everybody uses it all the time. 08 30 2020 329 331 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7524.0891020 https://www.ijitee.org/portfolio-item/J75240891020/ Department of Electrical Electronics Engineering, Malla Reddy Engineering College (Autonomous), Hyderabad, India. Y. Sudha* P. Pooja Department of Electrical Electronics Engineering, Malla Reddy Engineering College (Autonomous), Hyderabad, India. K Rama Department of Electrical Electronics Engineering, B.V.Raju Institute of Technology, Hyderabad, India. P. Shweta Department of Electrical Engineering, Zeal College of engineering & Research, Pune, India. An enormous number of motors have been using in our daily life ranging from home appliances to industrial machinery. During the last decade, there has been tremendous change industry automation and home automation. Electric motor is always the essential part in home appliances as well as industrial applications in the automation. There is always a need to control the speed of the motor to run the appliances smoothly. Other important part of the appliances is the microcontroller. Microcontroller is always the essential part in all the embedded system applications because of its economical price and easy to customize to any specific need. Electronic devices like thyristors, diodes have been widely used in industrial applications to control the speed of the motor The Objective of this paper is to control the induction motor speed by using triac and zero crossing detector. Usually in many industrial applications speed varying is important to run the process in different stages, this paper demonstrates the mechanism of varying the speed of the AC Motor. The circuit is equipped with microcontroller and the induction motor. Induction motor is controlled by using triac and zero crossing detector by controlling the pulses of input AC signal. Microcontroller input is connected with two input modules that is one increment switch and one decrement switch. Increment switch is used to increase the speed of motor by varying in steps that is already dumped the code in microcontroller and also same for decrement switch. An LCS screen has been used to display the speed of the motor. Touch screen is used to operate the motor. 08 30 2020 332 334 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7527.0891020 https://www.ijitee.org/portfolio-item/J75270891020/ Assistant Professor, Department of Computer Science and Engineering, Velammal College of Engineering and Technology, Madurai ,Tamil Nadu, India. Kavitha S Dr. Uma Maheswari N Professor, Department of Computer Science and Engineering, PSNA College of Engineering and Technology, Dindigul, Tamil Nadu, India. Dr.Venkatesh R Professor, Department of Information Technology, PSNA College of Engineering and Technology, Dindigul, Tamil Nadu, India. Computer networks are vital component for today’s development of science and technology, due to the emergence of limitless communication pattern and exponential count of network devices cyber security become crucial for this world to secure the most valuable data or information which is more vulnerable for attack by the intruders. New pattern of intrusion and attacks are created in everyday manner by potential intruders and they should be identified by efficient Intrusion Detection Systems (IDSs), also proper counter should be applied for. The paper surveys about the discussion of various machine /deep learning technology and algorithm related to Intrusion Detection System (IDSs) for the real time performance of the system. Finally the literature review investigated gives some open issues which will need to be considered for further research in the field of network security. 08 30 2020 370 376 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7541.0891020 https://www.ijitee.org/portfolio-item/J75410891020/ School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India. Simran Koul* Simriti Koul School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India. Prajval Mohan School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India. Lakshya Sharma School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India. Pranav Narayan School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India. The increase in the reliability, efficiency and security of the electrical grids was credited to the innovation of the smart grid. It is also a fact that the smart grids a very dependable on the digital communication technology that in turn gives rise to undiscovered weaknesses which have to be reconsidered for dependable and coherent power distribution. In this paper, we propose an unsupervised anomaly detection which is mainly focused the statistical correlation among the data. The main aim is to create a scalable anomaly detection system suitable for huge-scale smart grids, which are capable to denote a difference between a real fault from a disruption and an intelligent cyber-attack. We have presented a methodology that applies the concept of attribute extraction by the use of Symbolic Dynamic Filtering (SDF) to decrease compilation drift whilst uncovering usual interactions among subsystems. Results of simulation obtained on IEEE 39, 118 and 2848 bus systems confirm the execution of the method, proposed in this paper, under various working conditions. The results depict a precision of almost 99 percent, along with 98 percent of true positive rate and less than 2 percent of false positive rate. 08 30 2020 335 344 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7543.0891020 https://www.ijitee.org/portfolio-item/J75430891020/ PG Scholar Department of Civil Engineering, P.D.A College of Engineering, Kalaburagi (Karnataka), India. Khaja Moinuddin* B K Kolhapure Associate Professor, Department of Civil Engineering, P. D. A College of Engineering, Kalaburagi (Karnataka), India. Earthquake happens all around the globe and it is a natural calamity and can occur across the world. It affects the structure by producing tough ground signals. To overwhelmed the Earthquake there is establishment of Shear wall and Bracing to increase the crosswise stiffness, ductility of the structure. To plan a building storey drift and crosswise displacement are crucial. The building is analyzed by Linear static and Linear dynamic method by E-tab software. In present paper G+25 multistoried building is analyzed by insertion of Shear wall and bracing at Corners, End and central core of the structure. The responses like Displacement, Storey drift, Time period and Base shear is calculated and equated. 08 30 2020 471 477 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7547.0891020 https://www.ijitee.org/portfolio-item/J75470891020/ MCA, Tezpur University, Assam, India. Jogamohan Medak* Partha Pratim Gogoi MCA, Tezpur University, Assam, India. Virtual memory plays an important role in memory management of an operating system. A process or a set of processes may have a requirement of memory space that may exceed the capacity of main memory. This situation is addressed by virtual memory where a certain memory space in secondary memory is treated as primary memory, i.e., main memory is virtually extended to secondary memory. When a process requires a page, it first scans in primary memory. If it is found then, process continues to execute, otherwise a situation arises, called page fault, which is addressed by page replacement algorithms. This algorithms swaps out a page from main memory to secondary memory and replaced it with another page from secondary memory in addition to the fact that it should have minimum page faults so that considerable amount of I/O operations, required for swapping in/out of pages, can be reduced. Several algorithms for page replacement have been formulated to increase the efficiency of page replacement technique. In this paper, mainly three page replacement algorithms: FIFO, Optimal and LRU are discussed, their behavioural pattern is analysed with systematic approach and a comparative analysis of these algorithms is recorded with proper diagram. 08 30 2020 345 348 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7553.0891020 https://www.ijitee.org/portfolio-item/J75530891020/ Department of Computer Science and Engineering Vidyavardhaka College of Engineering, Mysuru, Karnataka, India. Anoosh G P* Chetan G Department of Computer Science and Engineering Vidyavardhaka College of Engineering, Mysuru, Karnataka, India. Mohan Kumar M Department of Computer Science and Engineering Vidyavardhaka College of Engineering, Mysuru, Karnataka, India. Priyanka BN Department of Computer Science and Engineering Vidyavardhaka College of Engineering, Mysuru, Karnataka, India. Nagashree Nagaraj Department of Computer Science and Engineering Vidyavardhaka College of Engineering, Mysuru, Karnataka, India. Generative adversarial networks are a category of neural networks used extensively for the generation of a wide range of content. The generative models are trained through an adversarial process that offers a lot of potential in the world of deep learning. GANs are a popular approach to generate new data from random noise vector that are similar or have the same distribution as that in the training data set. The Generative Adversarial Networks (GANs) approach has been proposed to generate more realistic images. An extension of GANs is the conditional GANs which allows the model to condition external information. Conditional GANs have seen increasing uses and more implications than ever. We also propose a new framework for estimating generative models via an adversarial process, in which we simultaneously train two models, a generative model G that captures the data distribution, and a discriminative model D that estimates the probability that a sample came from the training data rather than G. Our work aims at highlighting the uses of conditional GANs specifically with Generating images. We present some of the use cases of conditional GANs with images specifically in video generation. 08 30 2020 377 380 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7560.0891020 https://www.ijitee.org/portfolio-item/J75600891020/ Facultad de Informática, Electrónica y Comunicación, Universidad de Panamá, Panamá, Panamá. Edwin Juvenal Cedeño Herrera* Gloris Denisse Cedeño Batista Facultad de Informática, Electrónica y Comunicación, Universidad de Panamá, Panamá, Panamá. Gloris Batista Mendoza Facultad de Informática, Electrónica y Comunicación, Universidad de Panamá, Panamá, Panamá. Hector Bedon Instituto de Investigación Científica IDIC, Universidad de Lima, Lima, Perú. Wireless Sensor and Actuator Networks (WSAN) have represented a significant advance in wireless communication environments and their convergence with the phenomenon called the Internet of Things (IoT). One of the challenges studied in the WSAN field is to propose communication mechanisms to interconnect wireless sensor networks in isolated areas. Various studies have revealed the difficulty of achieving connectivity in this type of network. In this sense, we address the challenge of interconnecting isolated WSANs, which do not have end-to-end connection, with the Internet network infrastructure. For this, we consider the following characteristics of these environments, disruptive communications, long delays; devices with limited resources, very short transfer times and in contexts of mobility. We propose an integrated architecture that allows us to offer a service management framework based on the capabilities provided by WSAN, through an infrastructure based on cloud technologies. The functionalities that characterize service architectures in telecommunication networks and the integration of WSAN with cloud-based architectures are analyzed. Architectural capabilities such as Machine-to-Machine (M2M) and Machine Type Communication (MTC) are considered. The proposed architecture allows deliver applications and services can be reachable and shared with any host connected to Internet. WSAN data, hosted at remote sites or with limited communications, can be processed, stored and analyzed in the cloud, or locally by components of the architecture. The communication with the sensor network and actuators, is iterant, because of architecture provides support for long-delayed and disruptive tolerant services. 08 30 2020 299 306 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7563.0891020 https://www.ijitee.org/portfolio-item/J75630891020/ Department of P.D.A. College of Engineering Kalburgi (Karnataka), India. Shazia Begum B K Kolhapure Associate Professor, Department of Civil Engineering, P.D.A. College of Engineering Kalburgi (Karnataka), India. Concrete and steel structures influences the construction of multi-storey structures. The aid of progressive collapse increases when there is a failure of one or more load bearing structural elements. Thereafter, this case study is carried out to determine the prospective of the progressive collapse of an irregular (L shaped) building due to the failure or removal of two adjacent columns at a time present in the ground floor. Failure may occur because of the natural or manmade accidental loads like explosion or seismic loads, collision of vehicles, etc. Columns at different locations were removed and the slab loads had been increased as per the General Services Administration (GSA) guidelines and the results in terms of Demand Capacity Ratios (DCR) are compared for all the cases. The Demand to Capacity Ratios were calculated for the interested columns. It is observed that when the interior columns were removed then the possibility of progressive collapse is more. This study has been made for the case or earthquake forces for corresponding zone II and zone V. 08 30 2020 394 402 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7570.0891020 https://www.ijitee.org/portfolio-item/J75700891020/ Department of Computer Science and Engineering, Siddaganga Institute of Technology, Tumakuru, Karnataka, India. Sanjitha M* Sri Lakshmi J Department of Computer Science and Engineering, Siddaganga Institute of Technology, Tumakuru, Karnataka, India. S Sameeksha Department of Computer Science and Engineering, Siddaganga Institute of Technology, Tumakuru, Karnataka, India. Ravi V Department of Computer Science and Engineering, Siddaganga Institute of Technology, Tumakuru, Karnataka, India. Concrete and steel structures influences the construction of multi-storey structures. The aid of progressive collapse increases when there is a failure of one or more load bearing structural elements. Thereafter, this case study is carried out to determine the prospective of the progressive collapse of an irregular (L shaped) building due to the failure or removal of two adjacent columns at a time present in the ground floor. Failure may occur because of the natural or manmade accidental loads like explosion or seismic loads, collision of vehicles, etc. Columns at different locations were removed and the slab loads had been increased as per the General Services Administration (GSA) guidelines and the results in terms of Demand Capacity Ratios (DCR) are compared for all the cases. The Demand to Capacity Ratios were calculated for the interested columns. It is observed that when the interior columns were removed then the possibility of progressive collapse is more. This study has been made for the case or earthquake forces for corresponding zone II and zone V.Cyber-attacks are the attempts made by an individual or an organization deliberately, to breach the information system mainly computers of another individual or organization. These attacks have risen in recent years due to various reasons posing the need for systems that can use adaptive learning techniques to detect and mitigate these attacks at an early stage. Phishing is one of the significant cyber-attacks. According to global security report 2019, phishing was the major cause of attacks in corporate networks. Phishing attack uses disguised email to achieve its goal. In this attack, attacker masquerade himself as a trusted individual or a company and trick the email recipient into clicking malicious links or attachments. The proposed method provides a testbed for detecting and mitigating various types of phishing attacks. Machine learning techniques are used to build an intelligent system which can detect phishing attacks. This application uses random forest algorithm with AR-Trees (acceptance-rejection tree algorithm) to determine the attacks by considering various datasets available online and new datasets dynamically constructed for making the system ready to mitigate future phishing attacks. 08 30 2020 421 424 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7571.0891020 https://www.ijitee.org/portfolio-item/J75710891020/ Associate Professor, Department of Industrial Control and Instrumentation, Faculty of Electrical and Computer Engineering, Institute of Technology, Arbaminch University, Ethiopia Dr.M.Sundar Rajan* Samuel Kefale Melese Senior Lecturer, Department of Electrical Power Engineering, Faculty of Electrical and Computer Engineering, Institute of Technology, Arbaminch University, Ethiopia. Abraham Mesfin Lecturer, Department of Industrial Control and Instrumentation, Faculty of Electrical and Computer Engineering, Institute of Technology, Arbaminch University, Ethiopia. Induction motor loss separation and efficiency measurement needs loading dynamometers and other tools as like variable voltage sinusoidal power supply. These are costly and not always usable except though a loading tool is usable. Variable frequency drives are also commonly utilized for running induction machinery and are readily accessible and low cost. Nevertheless, their usage in lieu of a constant frequency sinusoidal power supply to calculate system performance precisely is interesting, but potentially difficult because of the PWM output voltage. This paper provides few studies into the usage of variable frequency drives. The usage of the machine, the measurement criterion and the protocols shall be reported and addressed. The output presented describes the possibility of the suggested idea of calculating machine effectiveness with a PWM power source. 08 30 2020 349 352 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7575.0891020 https://www.ijitee.org/portfolio-item/J75750891020/ Research Scholar, Dept of Computer Science & Engineering, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India Rama Naga Kiran Kumar. K Prof. Ramesh Babu. I Professor, Dept of Computer Science & Engineering, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India. The study of Hadoop Distributed File System (HDFS) and Map Reduce (MR) are the key aspects of the Hadoop framework. The big data scenarios like Face Book (FB) data processing or the twitter analytics such as storing the tweets and processing the tweets is other scenario of big data which can depends on Hadoop framework to perform the storage and processing through which further analytics can be done. The point here is the usage of space and time in the processing of the above-mentioned huge amounts of the data definitely leads to higher amounts of space and time consumption of the Hadoop framework. The problem here is usage of huge amounts of the space and at the same time the processing time is also high which need to be reduced so as to get the fastest response from the framework. The attempt is important as all the other eco system tools also depends on HDFS and MR so as to perform the data storage and processing of the data and alternative architecture so as to improve the usage of the space and effective utilization of the resources so as to reduce the time requirements of the framework. The outcome of the work is faster data processing and less space utilization of the framework in the processing of MR along with other eco system tools like Hive, Flume, Sqoop and Pig Latin. The work is proposing an alternative framework of the HDFS and MR and the name we are assigning is Unified Space Allocation and Data Processing with Metadata based Distributed File System (USAMDFS). 08 30 2020 353 356 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7579.0891020 https://www.ijitee.org/portfolio-item/J75790891020/ Department of Electronics and Communication, CBIT, Hyderabad, India. M. Udaya* D. Sony Department of Electronics and Communication, CBIT, Hyderabad, India. Dr. D. Krishna Reddy Department of Electronics and Communication, CBIT, Hyderabad, India. IRNSS is an indigenous satellite navigation system consisting of 7 satellites that provide accurate positioning in the Indian sub-continent region. Each IRNSS satellite transmits a signal which contains information regarding satellite orbital and clock parameters (known as navigation message). The purpose of the receiver is to demodulate the satellite signal and extract navigation message, the receiver must know certain parameters of the signal like its doppler shift and code offset. However, in real-time, due to relative velocity of the satellite and ionospheric interference, these parameters vary with time. Therefore, the receiver must continuously perform the tracking operation to update the varying parameters. Existing tracking systems are based on SDR and SoC’s, which require high-performance processors and iterative algorithms to perform both carrier and phase tracking. Though they are highly accurate, these designs are complex and expensive. In this paper, 1.5-bit ADPLL is used to track the carrier. This design does not require numerous computational loops to perform tracking of the carrier, thus reducing the complexity of the design. This work includes simulation results for 1.5-bit ADPLL. In this work, 2-bit, 1.5-bit, and modified 1.5-bit correlators are simulated and synthesized. It was found that modified 1.5-bit correlator architecture is less complex compared to 2-bit correlator and offers better SNR compared to 1.5-bit correlator. Therefore, modified 1.5-bit correlator is used for code tracking. The IRNSS signal tracking is performed in ModelSim. The system utilizes 77 standard LUTs and exhibit maximum settling time of 714μs and 31.28ms for carrier tracking and code tracking, respectively. 08 30 2020 413 420 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7582.0891020 https://www.ijitee.org/portfolio-item/J75820891020/ department of electrical engineering, Shri Ramdeobaba College of engineering and management, Nagpur, India. Sonali. C. Rangari* Gunwanti. S. Shende department of electrical engineering, Shri Ramdeobaba College of engineering and management, Nagpur, India. Mohan. M. Renge department of electrical engineering, Shri Ramdeobaba College of engineering and management, Nagpur, India. In industrial application, over loading condition, short circuit is the dominant fault in the motor drives. There are many reasons for the fault but due to this insulated gate bipolar transistor (IGBT) gets damaged which affect the whole system. Protecting IGBT and hence protecting motor drive system at fault condition is the crucial and insistent part of the protection. The short circuit and open circuit fault in an IGBT can be detected by several techniques. The paper presents an idea to deals with the short circuit fault such as fault under over load condition in the typical applications like winder machine. In this paper both the fault diagnosis and clearance of the fault are done. Fault diagnosis is based on the voltage between the collector and the emitter (VCE) of the IGBT which can be done by actual short circuit between these points in the simulation. Voltages of healthy and faulty condition are analyzed. In the fault clearance, CMOS-NAND based circuitry is used called EH10 card for inverter. It shows that this card has ability to detect the fault across the switch and give the signal to microcontroller for its clearance by making GATE signal of the IGBTs zero. This protection of Inverter using realization of CMOS-NAND based GATE driver card is verified using MATLAB simulation results. 08 30 2020 425 428 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7583.0891020 https://www.ijitee.org/portfolio-item/J75830891020/ Assistant Professor, Department of Electrical & Electronics Engineering, JSS Science & Technology University, Mysuru, Karnataka, India. Mr. Ravishankar B. S. Mr. Vijayendra V K PG-Scholar, Department of Electrical & Electronics Engineering, JSS Science & Technology University, Mysuru, Karnataka, India Dr. K T Veeramanju Professor, Department of Electrical & Electronics Engineering, JSS Science & Technology University, Mysuru, Karnataka, India. As an effective supplement to the centralized fossil fuel based traditional generation, Distributed Generation (DG) has become an effective alternative choice and has been rapidly increasing since past few years due to growing demand for electricity and the new policies of governing bodies for usage of green energy. In overall power system, distribution systems are more vulnerable to faults and reliability aspects of such systems becomes an important issue. With higher penetration of DG into the distribution network, it will be necessary to study the impact of such generation on the various aspects of distribution system. Thus, increase in rate of penetration DGs into the distribution system on one side and increased faults in distribution network on another side, will make the study of impact of DG integration on distribution system reliability an interesting topic of research. The present work focuses on evaluation of impacts of integration of such DGs on reliability of local distribution network, typically in an urban scenario By using the simulation method using DIgSILENT PowerFactory software, the impacts of integration of DG in terms of enhancement in distribution system reliability indices and reduction in system losses for different scenarios are studied and presented in this paper. Based on the simulation results obtained and after analysis of the distribution system, overall results are summarized by focusing on the installation of suitable capacity of DG and the location of DG which are important factors affecting the system losses and system reliability indices. 08 30 2020 381 389 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7586.0891020 https://www.ijitee.org/portfolio-item/J75860891020/ Department of Electrical and Electronics Engineering, Don Bosco Institute of Technology, Bengalore, India. Santosh E* Anguraja R Department of Electrical and Electronics Engineering, Don Bosco Institute of Technology, Bengalore, India. In 2019, India was the second-largest steel producer with total crude steel production of 112.3 metric ton [12]. There were lots of development actions taken in the starting of 90’s to promote more investments on producing steel and making it a bigger industry supporting country’s economy. Even though large amount of produced steel is utilized within the country for infrastructure, automobile and other consumable industries, still India is the seventh-largest exporter of steel. Also, Steel industries are not new to India. The oldest was TISCO and it started its production in 1907. Being said that, we have come long way in technology and science that all the steel plants need to be modernized and adapted to become more efficient, economical and productive. This paper presents one of such technology that being developed in the modern engineering word to make it adaptable in the steel industries where – Efficiency, energy consumption, quality and production can be improved significantly. 08 30 2020 429 432 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7595.0891020 https://www.ijitee.org/portfolio-item/J75950891020/ Department of Computer Science, Faculty of Liberal Arts and Science, Kasetsart University, Nakhon Pathom, Thailand. Saranya Saetang* Online learning has been studied for a long time. It has many benefits and challenges. In the period of COVID-19 spreading, many universities and schools have more concerns for their students of the virus infection. Thus, the online classroom has been set to be a teaching method for students. However, it is quite a new normal practice, especially in Thailand, to have an online instead of a face-to-face classroom. Therefore, this study is a path for preparing to conduct online learning. This study aims to provide guidelines to design effective online learning based on students' opinions. By analyzing the open-end questionnaires with 37 participants, the results reveal that blended learning is the most preferred learning pedagogical approach. Moreover, the metaphor factors, including subjects' characteristic, class period, class size, activities and assessment that were suitable for online learning according to the students' opinion, were suggested. Finally, some obstacles that students have faced in online learning were presented, and some solutions were proposed. 08 30 2020 433 436 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7599.0891020 https://www.ijitee.org/portfolio-item/J75990891020/ Department of Electrical & Electronics Engineering, DBIT, Bangalore, India. Sriram S* Dr. Anguraja R Department of Electrical & Electronics Engineering, DBIT, Bangalore, India. This paper focuses on total selective coordination of low voltage systems for critical facilities and based on reliability requirements. Critical facilities which include Data Centres, Health Care Facilities & Emergency Systems. It also discussed the importance of achieving total selective coordination and the impact on network design and how it is related to arc flash incident energy. It also states the National Electric Code requirements for the implementation of selective coordination based on system reliability requirements. The difficulties in achieving selectivity from Grid side and an inhouse generation side and the reliability benefits on critical facilities are discussed. 08 30 2020 437 440 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7610.0891020 https://www.ijitee.org/portfolio-item/J76010891020/ Department of Software Engineering, M. S. Ramaiah Institute of Technology, Bengaluru, India. Kavya K Savita K. Shetty Assistant Professor, Department of Computer Science and Engineering M. S. Ramaiah Institute of Technology, Bengaluru, India. Machine Learning (ML), provides system the capacity to learn instinctively and allows systems to improve themselves with past experience and without being programmed specifically. In the field of Medical Science, ML plays important role. ML is being used to develop new practices in medical science which deals with huge patient data. Breast Cancer is a chronic disease commonly diagnosed in women. According to the survey by WHO, rank of breast cancer is at number one as compared to other cancers in female. BC has two kinds of tumour: Benign Tumour (BT), and Malignant Tumour (MT). BTs are treated as non-cancerous cells. MTs are treated as cancerous cells. The unidentified MTs in time stretch to other organs. Treatment procedure for BT and MT is different. So, it is salient to determine precisely whether a tumour is BT or MT. In this proposed model, Histopathology Images are used as dataset. These Histopathology images are pre-processed using Gaussian Blur and K-means Segmentation. The pre-processed data fed into feature extraction model. ML algorithms such as Support Vector Machine (SVM), Random Forest (RF) and Convolution Neural Network (CNN) are applied to extracted features. Performance of these algorithms is analysed using accuracy, precision, recall and F1-score. CNN gives the highest accuracy with 87%. 08 30 2020 441 444 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7603.0891020 https://www.ijitee.org/portfolio-item/J76030891020/ Department of Civil Engineering, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, India. L. Manjunatha* B. V. Sachin Department of Civil Engineering, SJB Institute of Technology, Kengeri, Bengaluru, India. H. Sharada Bai Department of Civil Engineering, University Visveswaraya College of Engineering, K.R. Circle, Bengaluru, India. This paper presents an experimental investigation on ductility behaviour of reinforced concrete compression members, rectangular in cross section, modified to elliptical shape in cross section by bonding precast segment covers followed by Carbon Fiber Reinforced Polymer wrapping (CFRP) under concentric and eccentric loading conditions. Eighteen reinforced concrete rectangular compression members of size 100mm×150mm in cross section and 300mm in height were prepared using normal-strength concrete. Reinforcement ratio was kept at minimum, to simulate compression members that need retrofitting. Out of eighteen specimens, nine specimens were converted to elliptical shape in cross section. From nine remaining rectangular specimens, three specimens retained as it is without wrapping FRP and designated as Group1, remaining six specimens were wrapped with one and two layers of CFRP and designated as Group2. Out of nine elliptical specimens, three specimens were retained as it is without wrapping FRP and designated as Group3, remaining six elliptical specimens were wrapped with one and two layers of CFRP and designated as Group4. Specimens were tested upto failure under monotonic axial compression with concentric and eccentric load conditions. From the experimental results, it is observed that rectangular compression members shape modified to ellipse in cross section and then wrapped with CFRP show outstanding increase in the ultimate load carrying capacity which may be due to increased cross sectional area and effective confinement of FRP wrapping. As the number of layers of CFRP increases the ultimate load carrying capacity increases. With increase in eccentricity, the ultimate loads of the compression members were found to be decreased. Elliptical specimens wrapped with one and two layers of CFRP reported exponential increase in deformation ductility under concentric load condition and considerable increase under eccentric load condition compared to rectangular specimens wrapped with CFRP. 08 30 2020 445 452 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7604.0891020 https://www.ijitee.org/portfolio-item/J76040891020/ Student, Department of Computer Engineering & Technology, Guru Nanak Dev University, Amritsar (Punjab), India. Jaskarn Singh Amit Chhabra Assistant Professor, Department Of Computer Engineering & Technology, Guru Nanak Dev University, Amritsar (Punjab), India. Machine Learning plays a unique role in the world of stock market when it comes to the trend prediction. Machine learning library MLIB helps in determining the future values of stocks. With the help of this research one can find the ups and downs of stock market by providing a signal for the same and done by analyzing the previous stock data. This study is based on analysis of stock data from 2000 to 2009 which includes top fifty companies of various sectors from all over India. Six stock data indicators known as, Bollinger Band, Relative Strength Index(RSI), Stochastic Oscillator, Williams % R, Moving Average Convergence Divergence (MACD), Rate of Change applied on the nineteen years of stock data then results of these indicators are compiled and finally with the use of machine learning libraries like Numpy, Pandas, Matplotlib, Sklearn a random forest algorithm is applied on the compiled result to predict the stock movement , these libraries which splits the results into two sets training set and testing set which also boost up the result and gives you the better prediction. 08 30 2020 484 486 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7615.0891020 https://www.ijitee.org/portfolio-item/J76150891020/ Department of Electronics and Communication, University Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, Madhya Pradesh, India. Dr. Avinash Rai* Ms. Shivani Sonker Department of Electronics and Communication, University Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, Madhya Pradesh, India. In the modern era of image processing, recognizing content or information from an image is process of electronic conversion into machine encoded text. Advanced systems that are capable of producing high accuracy for multi-font recognition are now becoming commonplace, and with the support of digital consent formatting. Some programs are able to retrieve formats that are very close to the original page including images, columns, and other non-text items. Proposed system is able to recognize text from an image and convert it into editable text along with speech conversion. System uses Correlation model for OCR (Optical Character Recognition) and Speech Synthesis for TTS (Text To Speech) conversion. Correlation is a measurement of the similarities between two similar objects such as the predefined alphabets and recognizing a combination of those alphabets from an image. Speech synthesis is an artificial expression of human speech. The computer program that has been used this feature is called a speech computer as well as speech synthesizer that can be implemented on the basis of software or hardware primitives. The text-to-speech system (TTS) converts a standard language text into a speech; some programs provide figurative language presentations such as typed text in speech. System is capable enough to acquire high level of accuracy with less false recognition. It is required to built an effective text scanner that can recognize text from an image with less error rate. System has been implemented in MATLAB and various pre-processing filters have been applied for better enhancement and extraction. Hand written text can also be recognized with an effective manner. 08 30 2020 478 483 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7619.0891020 https://www.ijitee.org/portfolio-item/J76190891020/ Faculty of Applied and Creative Arts, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia. Qistina Donna Lee Abdullah* Aimuni Athirah Binti Latif Faculty of Applied and Creative Arts, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia. Dumping of apps that emphasized on how to develop tourism industry and help travel organization to promoting their business. However, every app has own advantages and disadvantages. Producing an apps need a properly research about needs and demands of tourist or traveller itself. The tourism apps have its own influence towards tourists when it’s come to their satisfaction of travelling. Producing of tourism apps can be expansion if the producer increases the requirements, by doing a research of tourist’s needs and demand. Every tourist has their own needs and demands that are influenced by their preference, identity and family background. These factors are developed from many criteria, such as their culture which influence their identity, and their power of buying which influences their taste and preferences. Tourism industry is a wide field, before certain products are produced and certain services are offered, the producers need to analyse their target market. Thus, the success of a tourism App depends on how well and deep the producer has managed to explore and study about the target users. Research that linked between product and user needs on tourism apps are a big deal to explore. Successful of apps depends on how producer of tourism apps study about the users. The finding of paper is variables analysis of tourism apps that can be used to developing new prototype of tourism apps based on tourist needs. This paper will introduce the best variables that have been analysing to be interesting features that can be including in tourism apps. 08 30 2020 453 457 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7636.0891020 https://www.ijitee.org/portfolio-item/J76360891020/