-4d90550d17f4602e089-4845 20220418034221361 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 04 30 2020 9 6 Control and Automation Faculty, Electric Power University, Ha Noi, Viet. Huong-Giang Doan* Recently, license plate recognition has been become an attractive field in computer vision. Which consists some main steps such as: data collection, plate detection, character separation, character segmentation, characters recognition and character series connection. Many state-of-the-art methods have been proposed while almost these approaches utilize complex algorithm. That spends a large time cost to obtain competitive accuracy; and/or high equipment performance such as CPU, GPU, cameras and so on. In addition, almost recent methods have been not deployed and evaluated for an end-to-end real application. Such system still has to face with many challenges due to the time cost, accuracy of system, complex background, light condition, motion blur and so on. In this paper, we propose a new framework for deeply evaluate efficient of license plate recognition system. Then a real application is deployed in the overweight balance system. In this application, the license plate recognition system is integrated as a middle step in order to reduce not only labor but also automatic for an industrial balance system. 04 30 2020 615 619 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3079.049620 https://www.ijitee.org/portfolio-item/F3079049620/ Research Scholar, ECE Department, Vidyavardhaka College of Engineering, Mysuru, Affiliated to VTU, Belagavi, Karnataka, India. Arjun K R* Dr. T P Surekha Professor, ECE Department, Vidyavardhaka College of Engineering, Mysuru, Affiliated to VTU, Belagavi, Karnataka, India. The requirement of flexible allocation of available limited frequency resources led to rethink the possibilities to find an substitute to Orthogonal Frequency Division Multiplexing (OFDM) [1], which can also meet the necessities of future wireless communication. In this paper, we have compared one such alternative to OFDM, which is Filter Bank Multi Carrier (FBMC) [2] with Offset Quadrature Amplitude Modulator (OQAM) . The BER performance of OQAM based MIMO FBMC compared with QAM based MIMO OFDM for various channels conditions and using different prototype filters [3] for FBMC and under the influence of Timing Offset errors with perfect CSI and imperfect CSI. Implementation of MIMO into OQAM-FBMC has a computational complexity compared to MIMO OFDM and we have used block coded MIMO OQAM-FBMC for simulation. Three prototype filters RRC, Hermite and PHYDYAS are used to analyze the performance of OQAM-FBMC in relations of Signal to Interference Ratio under time offset and found that performance of PHYDYAS prototype filter outperforms RRC and Hermite prototype filters. 04 30 2020 17 23 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3080.049620 https://www.ijitee.org/portfolio-item/F3080049620/ Department of Computer Science & Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India. V. Arulmangainayaki M. Harini Department of Computer Science & Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India. M. Keerthiga Department of Computer Science & Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India. M. Deva Priya* Department of Computer Science & Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India. In today’s world, 918 million rural people are more easily connected to the internet than doctors. The rural part of India is still in crisis due to lack of doctors and gets only one-third of hospital facilities. 80% doctors are available only in urban areas. In this paper, an application is developed with a motive of connecting doctors and assisting medication primarily focusing on rural and urban areas. The main idea is to create a user-friendly virtual assistant which helps every citizen, mainly residing in the rural parts of India. There are few industrial bots for News, Weather, Trends and perhaps different day-after-day events that manifest themselves within the general class. The proposed application takes a prominent place in the medical field. The bot recommends the best medical practice to the patients in treating minor medical issues. In the future, this Medical Chatbot can be trained with doctors to treat some minor surgeries. 04 30 2020 24 31 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3083.049620 https://www.ijitee.org/portfolio-item/F3083049620/ Bachelor of Technology in Information Technology, Vardhaman College of Engineering, Hyderabad, Telangana, India. Satya Sesha Rao Gopi* Bhavani Dhavala Associate Consultant, Rythmos India Private limited Hyderabad, Telangana, India. Chinthakula Bharath ETL Developer, Rythmos India Pvt LTD, Hyderabad, Telangana, India. This paper proposes information regarding Human Made Path-Ways (HMPW) feature in Google maps, which will present more accurate output of traffic [1], road blocks, fastest reaching path-ways, reaching emergency location in an error free path-way for emergency services to the users. 04 30 2020 314 317 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3084.049620 https://www.ijitee.org/portfolio-item/F3084049620/ Engineering Physics Department, Universitas Nasional, Jakarta 12520, Indonesia. Fitria Hidayanti* Ajat Sudrajat Engineering Physics Department, Universitas Nasional, Jakarta, Indonesia. Gamal Fiqih Handono Warih Engineering Physics Department, Universitas Nasional, Jakarta, Indonesia. In controlling the electric power system, it requires Load Control Frequency (LFC) to control load in MW and frequency (Hz) in the nominal range of 50Hz. The nominal parameter for the controller is the opening of the fuel valve, which is driven by the Electro-Hydraulic Converter (EHC). The control variable contained in the gas turbine system itself is the deviation between the setpoint and the feedback does not exceed 5% if the value exceeds the set value, it will produce a deviation, that means playing the error control. If the backup control system is active at startup, this system will result in not being able to synchronize because variable input from the network can only be controlled by frequency and active power control. It can also result in travel due to synchronous failure. If an error occurs during the operation of the backup controller load will be on, it will cause more speed or a maximum of 147 MW and of course, it will be dangerous for the gas turbine generator system. This paper will analyze the protection system from main control errors due to deviations between feedback and the setpoint set at 5% to 10% and see the system's response when there is a system change in the turbine gas. The control system design produces the largest error value at 7.2% valve opening with the control parameter Kp 12, Ti 1.9, Td 2. With simulations and data were taken through POS Simponi S+ and logic data analysis on PDDS (Programming Diagnostic Display System). The speed droop response value affects how much speed regulation is set, the smaller speed droop response value the faster the response to frequency changes and the greater speed droop response value the slower the response received by the system. In this study, the rise time value was 0.26 s and the settling time was 17.9 s. 04 30 2020 620 625 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3161.049620 https://www.ijitee.org/portfolio-item/F3161049620/ Assistant Professor, School of Civil Engineering, Model Institute of Engineering and Technology, Jammu and Kashmir, 181122, India Peerzada Danish* Chandandeep Singh Raina Assistant Professor, Civil Engineering Department, GGS College of Modern Technology, Mohali, 140104 Punjab, India. Anita Jessie. J PhD. Research Scholar, School of Civil Engineering, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India S. Ganesh School of Civil Engineering, LPU Jalandhar, 144411, India. Concrete is the composite material which is contains cement, coarse and fine aggregate. The real fact is that the concrete production was observed to be 10 billion tons per year, which is double the utilization of other building materials such as timber, steel, etc. Due to the efficient properties of concrete, it is broadly used in the construction of the buildings. To increase the mechanical properties of concrete and to make it more efficient, researcher have been conducting many experiments using various other materials as the substitute of cement, fine aggregate and coarse aggregate. Manufacturing of cement produces more carbon dioxide and thus in turn creates air pollution. In order to decrease carbon dioxide production, minimize the waste materials and to make the concrete eco-friendly and economical, robodust and iron slag has been adopted in this study. In this research, 30% robodust has been replaced with fine aggregate and 10%, 20%, 30%, 40% and 50% iron slag has been replaced with cement. The combination of robodust and iron slag replacement with fine aggregate and cement respectively has shown good increase in mechanical properties of concrete in contrast to conventional concrete. 04 30 2020 626 629 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3166.049620 https://www.ijitee.org/portfolio-item/F3166049620/ Department of Management Studies, Christ(Deemed to be University), Bangalore, India. Middi Appala Raju* Venkata Sai Rishita Middi Department of Electrical and computer ENgineering, Brown University, Providence, India. Data and Information is the base for making investment choices. Stock market is typically a place where shares of certain companies trying to raise their capital, are traded. With the availability of large amount of data and refinement methods, investors nowadays, are able to make rational investment decisions. Advancement in computational intelligence, use of AI in the form of Neural Networks has created a new basis for predicting stock prices. In this work, we have employed Recurrent Neural Networks to implement time series prediction. The Long Term Short Memory Architecture has been used as the network architecture to perform prediction on Apple Stock Prices. The implementation is done on Keras platform. 04 30 2020 630 632 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3308.049620 https://www.ijitee.org/portfolio-item/F3308049620/ Research Scholar, Department of EEE, Sathyabama University, Chennai, India. Thaha. H. S* Dr. T. Ruban Deva Prakash Principal & Professor , Department of EEE, Heera College of Engineering and Technology, Nedumangad, Kerala, India. As the current vitality situation deals with one serious issue is Power quality. Power quality has been progressively applicable, centered, with the expansion of reasonable hardware, where its conduct is especially critical to the quality of power input supply. Issue due to power quality is a wonder pointed as an uncommon standard current, voltage recurrence that brings about a disappointment of advanced gadgets. The primary matter centers at the voltage enlargement & dips. Here, creators introduce a specific system for the aversion of the voltage enlargement & dips. To amend the matter pointed out above, modified power types of gear are embraced. One of them, Dynamic Voltage Restorer (DVR), the foremost just as exact progressed redid control hardware utilized in power dispersion systems. The favorable circumstances incorporate scaled down value, small scale, with great dynamic reaction with regard to obstructions. Customary type controller like Proportional-Integral one and Neural Network (NN) based DVR Controller are utilized here for examination. In the proposed technique, NN based DVR controllers actualized are supplanted by the regular PI controller to build up the exhibition of the system. The point of the controller is built quicker than customary procedure found controller. By MATLAB reproduction apparatus, the presentation shall be considered. 04 30 2020 324 329 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3310.049620 https://www.ijitee.org/portfolio-item/F3310049620/ Department of Electrical and Electronics Engineering, Kongu Engineering College,Erode,India. Kavin Mullai. K* S. Nandha Kumar Department of Electrical and Electronics Engineering, Kongu Engineering College, Erode, India. J. Arun Kumar Department of Electrical and Electronics Engineering, Kongu Engineering College, Erode, India. P. Karthick Department of Electrical and Electronics Engineering, Kongu Engineering College, Erode, India. A.M. Lakshmi Department of Electrical and Electronics Engineering, Kongu Engineering College, Erode, India. Live scan plebiscite system is an electronic system or device employed in any legal system to cast their votes rather than ballot papers and boxes which used earlier in conventional Election system. The traditional system may be a long, time-consuming process and there’s a clear stage of error and malpractices. Later the system was replaced by electronic voting machine. To overcome the disadvantages of the electronic voting system, biometric identifiers are included in the voting system. Our proposed system consists of a Ballot unit with biometric system. This system verifies the biometrics of the candidate with the already stored data in Aadhar or voter identification card. In the proposed system the voter should verify his/her finger print and only if it matches they can vote.The data of the voters are stored in the cloud and can be retrieved from anyplace, so the voter can vote from any place outside the constituency. In the Electronic voting system, there is a simple unit called ballot unit which is used to record the votes. In this electronic voting only, the votes are recorded and counted and there is no separate unit to verify the voter, so anybody can record the votes and any number of times. 04 30 2020 135 137 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3314.049620 https://www.ijitee.org/portfolio-item/F3314049620/ P G Student, Department of Computer Science and IT, Amrita School of Arts and Sciences, Kochi, Amrita Vishwa Vidyapeetham, India. Aiswarya Johney* Namitha S J P G Student, Department of Computer Science and IT, Amrita School of Arts and Sciences, Kochi, Amrita Vishwa Vidyapeetham, India. Leena Vishnu Namboothiri Assistant Professor, Department of Computer Science and IT, Amrita School of Arts and Sciences,Kochi ,Amrita Vishwa Vidyapeetham, India . This proposed work is mainly focused on the drastic air pollution data in various metropolitan cities. Rapidly growing industrialization both in automobiles and other public sectors massively increases the intensity of air pollution which drastically affects the nature and human rights for decades. The most destructive part of air pollution is that it may badly cause severe immunity problems for both the flora and fauna as well the human life. It might be life-threatening if the air pollutants cross its limit. Different software/tools are used for the prediction of air contamination and it is a formidable one. In this paper, we aim to find an accurate algorithm for implementing a system by utilizing Weka Tool for the prediction of health risks. Algorithms used are Decision tree J48 and Multiclass Classifier. Prediction of health risks is done based on different AQI values of air pollutants such as NO2, O3, CO and, SO2. 04 30 2020 633 636 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3320.049620 https://www.ijitee.org/portfolio-item/F3320049620/ Department of Mechanical Engineering, Periyar Maniammai Institute of Science and Technology, Vallam, Tamilnadu, India R. Thiyagarajan* P. Srinivasan Department of Mechanical Engineering, Periyar Maniammai Institute of Science and Technology, Vallam, Tamilnadu, India T. Aneesh Department of Mechanical Engineering, Periyar Maniammai Institute of Science and Technology, Vallam, Tamilnadu, India, In India Coconut is the major plantation crop in the states of Tamilnadu, kerala, Karnataka, Kongan region of Maharastra and Andaman and Nicobar Islands for entire seasons. Copra is the major product from the coconut cultivation earning higher income of small and medium livelihoods. The approval of copra quality is mainly based on how well the copra got dried. Open drying or other conventional methods is the major process of making copra. In adverse weather condition, rainy season the drying process will be very challenging. Many dryers are made and used currently was affordable to medium and large scale copra producers. Those dryers also having limitations in size, high initial cost and nature dependency. There is very few attempt made for Small and individual household copra producers. This paper mainly focuses on how to dry-up the copra in all climate conditions. An electric handy dryer is designed to dry up the coconut copra and other grains. It mainly helps the small scale farmers as a handy dryer unit to dry-up the copra, those who are using coconut as a way of income. Based on the experiments conducted the electric dryer removed high moisture content than forced convection and direct sun dryers. 04 30 2020 637 641 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3323.049620 https://www.ijitee.org/portfolio-item/F3323049620/ Assistant professor, Department of Mathematics, Praveenya Institute of Marine Engineering, Visakhapatnam, India. D. M. K. Kiran* Dr. M. V. R. Kameswari Associate Professor, Department of Mathematics, Gitam Institute of Technology, GITAM University, Visakhapatnam, India. Capt. Dr. K. Sujatha Head & Professor, Department of Mathematics & Statistics, St. Joseph’s College for Women(A), Visakhapatnam, India K. R. K. Sastry Associate Professor, Department of Electronics and Communication Engineering, Gayatri Vidya Parishad College of Engineering (Autonomous), Visakhapatnam, India. B. Ramu Naidu Faculty of Mathematics, AU PG Campus, Vizainagaram, india. In this paper, we introduce an encryption and decryption procedure with high security by mathematical model, using Laplace transformation and Inverse Laplace Transformation for the given transforming data from one end to other end. We also give an example. Here we convert plain text to ASCII code. We take two primes as a primary key for encryption and decrypt in of the original data. 04 30 2020 330 334 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3324.049620 https://www.ijitee.org/portfolio-item/F3324049620/ Professor, Amity School of Engineering & Technology, Amity University, Lucknow Campus, Uttar Pradesh, India. Dr. M.A. Murtaza* Aerodynamic drag has been experimentally estimated for scale models of a passenger car and a commercial truck in a wind tunnel. Polished surface has resulted up to 15 % reduction in drag force and add-on has resulted in 57% increase in drag force of a car model whereas 2.6 % reduction in drag force has resulted by using deflector in a commercial truck model. Anova analysis shows variation in mean of group data. 04 30 2020 642 645 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3327.049620 https://www.ijitee.org/portfolio-item/F3327049620/ student, Amrita VishwaVidyapeetham University. Malini M, Integrated* Kripa Menon student, Amrita VishwaVidyapeetham University. M. Soumya Krishnan Faculty Associate, Dept. of CS &IT,AmritaVishwaVidyapeetham, Amrita School of Arts and Sciences. Music is the combination of melody, linguistic information and singer’s mental realm. As popularity of music increases, the choice of songs also varies according to their mental conditions. The mental conditions reach the supreme bliss to melancholy strain based on the musical notes. Majority mostly prefer songs, which satisfy their current state of mind. Pragmatic analysis in music by computer is a difficult task, as emotion is very complex and it camouflages the real situation. Hence, In this paper , trying to classify the songs based on the features of music which helps to classify the emotion more easily. Music feature extraction is done using Music Information Retrieval (MIR) toolbox. The dataset consists of 100 of Hindi songs of 30 seconds clip and later classify the emotion based on Naïve Bayes classification method using Weka API. 04 30 2020 646 649 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3336.049620 https://www.ijitee.org/portfolio-item/F3336049620/ Research Scholar, VisvesvarayaTechnical University, Belagavi, , Karnataka, India. Yamanappa.N. Doddamani U. C. Kapale* Departement of Mechanical Engineering, . S. G. Balekundri Institute of Technology, Belagavi, Karnataka, India This Paper is an investigation on methods involved for different energy auditing practices using the Internet of Things (IOT) technology. A practical sugar industry environment is emulated to get the overall power delivery at each stage of the sugar industry process. The sensors utilized at different sugar making process are discussed with the perspective of the power usage at each of the sugar processing stages. The Raspberry Pi based logging and analysis process is developed for the sugar industry. The sensors are connected to the power usage capability and the data collected are logged to be able to analyse the power delivery and carry out the energy auditing in the complete process. Python based UI for the complete energy auditing process is developed and the results are discussed in detail. The emulation carried out is found to replicate the complete process of sugar industry and the auditing is scaled up to match the specifications of the practical sugar industry. Suggestions regarding the power conservation measures are provided to be followed by the industry. The manual means of energy audit is removed to replace it with the automated energy audit as given in the graphical form. It is observed that the total cost for the energy audit is getting reduced except for the capital cost. 04 30 2020 2253 2262 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3340.049620 https://www.ijitee.org/portfolio-item/F3340049620/ Department of ECE, Sunrise University, Alwar, Rajasthan, India. FMaheswarareddy Annareddy* Prof. (Dr.) K.K. Saini Department of ECE, Sunrise University, Alwar, Rajasthan, India. Wireless sensor networks (WSNs) are vulnerable to various types of security threats that may degrade the performance of the entire network. This problem could not provide protection for the attacks on key management and authentication protocols during fatal issues such as service denial attacks, routing attacks, sybil attacks and few other. Over the last few years, researchers have developed different distributed and centralized intrusion detection systems for wireless sensor networks but not reached to a higher performance level. A solution to this problem is the proposed Intrusion Detection System (IDS) with an implementation of more efficient algorithms that can perform routing decisions at every node. There are a couple of routing algorithms in the wireless sensor network which use topology data and takes routing decisions instantly. Extensions to the original position-based algorithm were subsequently presented to perform even more efficiently in conditions where they do not operate. Host growth brings about a route transition, which causes some network to settle on new routes. For ad hoc networks certain routing protocols have already been proposed. The fundamental idea is to allow cellular beneficiaries with bad channel conditions to use the ad hoc network to connect to those cellular collectors who experience great cellular channel conditions. The proposed system can also analyze the network by collecting enough data and detects irregular sensor node(s) behaviour. Finally, the current article explains the implementation of the lower algorithm in sensor networks for evaluating the network intrusion detection system. 04 30 2020 1129 1131 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3349.049620 https://www.ijitee.org/portfolio-item/F3349049620/ Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India. Abhilash Hegde Dinavahi Sri Chaitanya Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India. Gaurav V Uttarkar Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India. Peeyusha K S* Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India. Nithin Kumar Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India. Alzheimer’s is a neurodegenerative disease which primarily effects the neurons in the human brain. The severity gradually increases over time, considered as the main cause for cognitive impairment in elderly people. Alzheimer's Disease has a long incubation period before clinical symptoms emerge, the available treatment can only delay the disease but not the progression. Hence the patients need assistance for their day to day activities. There are few neuropsychological tests like mini-mental state examination to determine the need and way of diagnosis and few systems have been proposed to help such patients. It is necessary to study the available systems for their efficiency, feasibility, speed and other factors necessary for comparison in order to understand the work done so far which will open ways for further research and improvisation of existing models and approaches. Therefore, in this paper we will review some of the devices, approaches and systems designed in order to help the Alzheimer's Patients’ with their daily activities. 04 30 2020 138 142 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3354.049620 https://www.ijitee.org/portfolio-item/F3354049620/ Department of Computer Engineering ,BV(DU)COE, Pune, India. Rohini B. Jadhav* Tanmay Chordia Department of Computer Engineering, BV(DU)COE, Pune, India. Yagyesh Shrivastava Department of Computer Engineering, BV(DU)COE, Pune, India. Srijan Kumar Singh Department of Computer Engineering, BV(DU)COE, Pune, India. Umesh G. Thorat Tata Consultancy Services, Pune, India. Communication is the main channel for the people to interact with each other, every day we see many people who are facing challenges like deaf, dumb, facing the difficulty to interact with others. Due to birth defects, injuries and oral disorders, there has been a dramatic increase in the number of deaf and deaf victims in recent years. As they are unable to communicate with normal people, they must rely on some kind of visual communication. Formerly developed techniques are all sensors based and they didn’t give the general solution and were not economical. One of the main paradigms that we focus on is to endeavour the linking between the Sign Language medium with the Standard English Language and thus providing the communication between the two communities in a seamless experience. This project is developed in such a way to allow two-way communication between the one who knows the sign language (deaf and dumb) and the one who doesn’t(rest).Our project uses camera to take images of different gestures and image processing technique is used to recognise gestures and give audio and text as an output. On the other hand, for the reply our project will also process Speech to give back Sign language gestures as a reply to complete two-way communication. 04 30 2020 2032 2035 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3357.049620 https://www.ijitee.org/portfolio-item/F3357049620/ Department of Production Engineering, College of Engineering, Andhra University, Visakhapatmam, Andra Pradesh, India. Hagos Berhane* Dr. Pramila Devi Maganti Department of Production Engineering, College of Engineering, Andhra University, Visakhapatmam, Andra Pradesh, India. The purpose for this research work is to evaluate the degree of total quality management (TQM) implementation in the Ethiopian plastic industry in Addis Ababa, Ethiopia and its impact on operational performance. A quantitative approach has been used via a self-administrated questionnaire. A simple random sampling technique was used to collect primary data. Correlation and regression procedures were used to analyse the primary data. The result of investigation on the level of TQM practices indicated that case industry has an acceptable level of TQM implementation. In addition, based on the regression analysis, it is concluded that two out of five of the selected TQM practices (training and supplier quality management) are significantly correlated with operational performance of plastic industry. In this process supplier quality management was considered as the most important TQM factor in terms of impacting operational performance. 04 30 2020 174 178 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3358.049620 https://www.ijitee.org/portfolio-item/F3358049620/ Assistant Professor, Sanjeevan Engineering Technological University, Panhala, Kolhapur, India. Katkar Ajit Ashok* Dr. Girish D. P. Professor, Government Engineering College, Ramanagara, Karnataka, India Gajanan Chandrashekhar Assistant professor, Sanjeevan Engineering Technological University, Panhala, Kolhapur, India . In past few decades use of Aluminium Alloys and Aluminium Metal Matrix Composites have increased tremendously. Due to their light weight, corrosion resistance and excellent electrical and thermal conductivity they are fit many automotive and aeronautical applications. In this paper analysis of effect of SiC reinforcement on microstructure and hardness of Al 6061 and Al 7075 is presented. It is clearly evident that, addition SiC to base material changes its microstructural grain formation and size, uniform distribution of grain in the material will enhances mechanical properties. Also the hardness increases with increasing in weight percent of reinforcement composition.. 04 30 2020 335 337 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3405.049620 https://www.ijitee.org/portfolio-item/F3405049620/ PG Student, Department of Computer Science &IT Amrita School of Arts and Sciences, Kochi Amrita Vishwa Vidyapeetham, India Sreelakshmi S Pai* AnnMary Simon PG Student, Department of Computer Science &IT Amrita School of Arts and Sciences, Kochi Amrita Vishwa Vidyapeetham, India G S Anisha Assistant Professor, Department of Computer Science &IT Amrita School of Arts and Sciences, Kochi Amrita Vishwa Vidyapeetham, India Breast cancer classification can be useful for discovering the genetic behavior of tumors and envision the outcome of some diseases. Through this paper we are predicting the noxious behavior of a tumor. The prediction models used are Random Forest, Naïve Bayes, IBK (Instance Based Learner), SMO (Sequential minimal optimization), and Multi Class Classifier. This prediction model which can potentially be used as a biomarker of breast cancer is based on physical attributes of a breast mass and which is gathered from digitized image of Fine Needle Aspirate (FNA). These can be helpful in prediction and reduction of invasive tumors 04 30 2020 650 653 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3406.049620 https://www.ijitee.org/portfolio-item/F3406049620/ PG Student, Department of Computer Science & IT, Amrita School of Arts and Sciences, Kochi, Amrita Vishwa Vidyapeetham, India. Mary Tannia Padua* Amitha Joy PG Student, Department of Computer Science & IT, Amrita School of Arts and Sciences, Kochi, Amrita Vishwa Vidyapeetham, India. G Deepa Assistant Professor, Department of Computer Science and IT, Amrita School of Arts and Sciences, Kochi ,Amrita Vishwa Vidyapeetham, India Bugs are the frequently transpiring drawback in software’s, to prevent these problems; an in-depth study of bugs is required. Bug repositories are a significant supply of information. The bug repository helps the software team to have a better study about bugs and its related parameters. Often arising bugs helps the developers to get rid of them in upcoming releases. There is a huge variety of algorithms that facilitate in finding bugs. This paper intends to measure the performance of mining algorithms in predicting the bug severity by scrutinizing their capabilities. We propose a study of assorted algorithms in Lazy (IBK and KStar) and Tree (Random Forest) Classifiers with regard to different parameters. The case inspected here is Mozilla_Thunderbird, which is implemented in WEKA. 04 30 2020 654 656 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3407.049620 https://www.ijitee.org/portfolio-item/F3407049620/ Department of Mathematics, Punjabi University, Patiala, India. Diriba Kajela Geleta* Mukhdeep Singh Manshahia Department of Mathematics, Punjabi University, Patiala, India. In this paper the Teacher Learning process Based Optimization (TLBO) algorithm was employed in order to optimize wind and solar hybrid energy. Minimizing total annual cost, by determining appropriate numbers components to satisfy the desired load based on the given constraints is the main concern of this research. The algorithm was recently innovated random search meta heuristic algorithm. When it was signed the actual of process learning in a class was imitated. The result has shown that TLBO could be applied to optimize hybrid system. It was concluded that, the algorithm converges to optimal solution with relatively good convergence rate. It has shown that, TLBO has some advantage over other algorithms by comparing the result with some results in literature. 04 30 2020 2036 2040 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3408.049620 https://www.ijitee.org/portfolio-item/F3408049620/ Dept of electrical engg., Azad Institute of engineering & Technology, Lucknow, India. Mukesh Kumar* Mohd Asif Ali Dept of electrical engg., Azad Institute of engineering & Technology, Lucknow, India. Sanawer Alam Dept of electrical engg., Azad Institute of engineering & Technology, Lucknow, India. In recent times a huge attention has been given on development of proper planning In this paper we present a top dimension perspective on forefront status of Closed circle ID system the use of PID Controller from explicit creators. The proportional– integral– subsidiary (PID) controller is the most extreme comprehensively ordinary controller inside the business bundles, specifically in strategy enterprises in light of fabulous expense to profit proportion. In this paper we focus on MPPT based solar system performance enhancement by use of fuzzy logic controller’s designs optimized by particle swarm optimization (PSO). We have described about different latest A.I. techniques that has been hybrid with fuzzy logic for improving PV array based solar plants performance in recent time. The artificial intelligence technique applied in this work is the Particle Swarm Optimization (PSO) algorithm and is used to optimize the membership functions for maximum power point tracking rule set of the FLC. By using PSO algorithm, the optimized FLC is able to maximize energy to the system loads while also maintaining a higher stability and speed as compared to P& O based MPPT algorithm. 04 30 2020 1132 1139 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3419.049620 https://www.ijitee.org/portfolio-item/F3419049620/ Assistant Professor, Electronics and Communication Engineering, Babaria Institute of Technology, Varnama, Gujarat, India. S. Suganthi Amudhan* Dr. Dwivedi Vedvyas J Pro Vice Chancellor, C U Shah University, Wadhwan City.Surendranagar Gujarat, India. Dr.Bhavin Sedani Professor, Electronics and Communication Engineering, L.D.College of Engineering, Ahmedabad, Gujarat, India. Inverted Pendulum is a popular non-linear, unstable control problem where implementation of stabilizing the pole angle deviation, along with cart positioning is done by using novel control strategies. Soft computing techniques are applied for getting optimal results. The evolutionary computation forms the key research area for adaptation and optimization. The approach of finding optimal or near optimal solutions to the problem is based on natural evolution in evolutionary computation. The genetic algorithm is a method based on biological evolution and natural selection for solving both constrained and unconstrained problems. Particle swarm optimization is a stochastic search method inspired by collective behavior of animals like flocking of birds, schooling of fishes, swarming of bees etc. that is suited to continuous variable problems. These methods are applied to the inverted pendulum problem and their performance studied. 04 30 2020 657 660 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3426.049620 https://www.ijitee.org/portfolio-item/F3426049620/ Computer Science and Engineering, National Engineering College, Tamil Nadu, India. Preethi J* Dr. S. Maheswari Computer Science and Engineering, National Engineering College, Tamil Nadu, India. Educational organizations are unique and play the utmost significant role in the development of any country. In the Educational database, due to the enormous volume of data for predicting student's achievement becomes more complicated. To upgrade a student's performance and triumph is more efficient in a practical way using Educational Data Mining Techniques. Data Mining Techniques could deliver favor and brunt to educators and academic institutions. The student's data ((i.e.) Name,10th %,12th cut off, CGPA, No of arrears, etc.) are gathered. Then, the datasets are imported into the Anaconda Navigator. Then, analysis and classification based on attributes of the students and the schemes are performed. Then using the prediction algorithm Naïve Bayes what are all the features the particular student is eligible for are predicted as placed. The student's input that has disparate data about their past and present academics report and then apply the Naïve Bayes algorithm using Anaconda Navigator to search the student's achievement for placement. A proposed methodology based on a classification approach to finding an improved estimation method for predicting the placement for students. This project can find the association for academic achievement of each particular student and their placement achievement in campus selection. 04 30 2020 32 37 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3427.049620 https://www.ijitee.org/portfolio-item/F3427049620/ CSE, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India. K. Gangadaran* R. Dhinesh CSESri Krishna College of Technology, Coimbatore, Tamil Nadu, India. S. Sam Peter assistant professor at Sri Krishna College of Technology, Coimbatore. During any disaster, the first step is to formulate a disaster rescue team to help those in distress. When the team goes into action, it is important to analyse the survivors withstood on the rooftops. It is hard to search for rooftop survivors by entering and searching every house. So, there are many Machine Learning techniques and algorithms such as image recognition and classification and these can be quite helpful in assessing the survivors as the algorithms can analyse and observe images from the sources. They can also identify the rooftop survivors and make a mark over them. Machine Learning can quite effectively identify humans apart from environmental objects, flooding, blocked roads from the disaster occurred locations. 04 30 2020 413 415 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3449.049620 https://www.ijitee.org/portfolio-item/F3449049620/ Professor, Department of Computer Science in Holy Mary Institute of Technology and Science (HITS), (V) Bogaram, (M) Keesara, Medchal .Dist, Telangana, India. V. Sudheer Goud* P. Premchand Professor, Department of Computer Science and Engineering, University College of Engineering, Osmania University, Hyderabad, Telangana State, India Credit card fraud introduces to the physical loss of a credit card or the destruction of sensitive credit card data. Several text mining procedures can be used for disclosure. This investigation reveals several algorithms that can be used to analyze transactions as a fraud or as a real background. This paper represents the possibility of fraudulent transactions in the prevalence and meaning of credit card usage also, Credit card fraud data collection was used in the investigation. Since the dataset was largely unbalanced, SMOTE (Synthetic Minority oversampling Technique) is applying for an overdose. In addition, jobs selected, and the data set divided into two parts, training data and test data. In this paper, The Advanced Super Gradient Boostingbased Text mining Algorithm (ASGB) suggested to detect the fraud transaction in Credit card transactions. ASGB is a Decision-Tree-Based Ensemble Text mining algorithm that utilizes a gradient boosting framework. In forecast difficulties, including unstructured data (Images, Text, etc.), artificial neural networks tend to exceed all other algorithms or structures. The proposed algorithms used in the experiment were the Hidden Markov Model, Random Forest, Gradient Boosting, and Enhanced Hidden Markov Model. The Experimental Results show that proposed algorithms, a well-tuned ASGB classifier outperforms all of them. And it presents better Precision is 99.1%, and Recall is 99.8%, F-measure is 99.5%. 04 30 2020 179 184 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3457.049620 https://www.ijitee.org/portfolio-item/F3457049620/ Electrical and Electronics Engineering, SRM TRP Engineering College, SRM TRP Engineering College, Tiruchirappalli, Tamilnadu, India. Dr. S. GANESH* M. Brinda Electrical and Electronics Engineering, SRM TRP Engineering College, SRM TRP Engineering College, Tiruchirappalli, Tamilnadu, India. A. Devibala Electrical and Electronics Engineering, SRM TRP Engineering College, SRM TRP Engineering College, Tiruchirappalli, Tamilnadu, India. S. Jayabharathi Electrical and Electronics Engineering, SRM TRP Engineering College, SRM TRP Engineering College, Tiruchirappalli, Tamilnadu, India. M. Shivarekka Electrical and Electronics Engineering, SRM TRP Engineering College, SRM TRP Engineering College, Tiruchirappalli, Tamilnadu, India. In the last decades, the microbial fuel cell (MFC) has increased great opportunity as an alternative energy source through electrochemical process for producing bio-energy. MFC has been involved in anode and cathode for electric energy generation from organic ingredients such as bacteria in waste water treatment. In this review, we discussed the different types of MFC (anode and cathode) materials with various integrations. In addition, it includes the gainful, biocompatible and exceedingly constant electrode materials with enhanced microbial fuel cell performance. Following this review, expansion in membrane materials such as hydrocarbon polymer, perfluorinated polymer, organic-organic hybrid polymer, ceramics, organic-inorganic hybrid composite, and biopolymer membranes are clarified in detail. In this paper, also highlighted the application of MFC technology and the methods used in the MFC in electricity production. 04 30 2020 143 147 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3460.049620 https://www.ijitee.org/portfolio-item/F3460049620/ School of computing, Graphic Era Hill University, Dehradun, India. Aditya Harbola* Priti Dimri Computer science and applications, GBPEC, Ghurdouri, Pauri, Pauri, India. Deepti Negi School of computing, Graphic Era Hill University, Dehradun, India. At present networking technologies has provided a better medium for people to communicate and exchange information on the internet. This is the reason in the last ten years the number of internet users has increased exponentially. The high-end use of network technology and the internet has also presented many security problems. Many intrusion detection techniques are proposed in combination with KDD99, NSL-KDD datasets. But there are some limitations of available datasets. Intrusion detection using machine learning algorithms makes the detection system more accurate and fast. So in this paper, a new hybrid approach of machine learning combining feature selection and classification algorithms is presented. The model is examined with the UNSW NB15 intrusion dataset. The proposed model has achieved better accuracy rate and attack detection also improved while the false attack rate is reduced. The model is also successful to accurately classify rare cyber attacks like worms, backdoor, and shellcode. 04 30 2020 904 911 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E3467.049620 https://www.ijitee.org/portfolio-item/F3467049620/ Assistant Professor in Sri Krishna College of Technology, Tamil Nadu, India. Ms B. Dhanalakshmi* Mr. A. Prakadeesh CSE, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India. Mr. R.Roshan Kumar CSE, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India. In this study, Bridge safety monitoring system using IOT is developed using the Wireless technology.With the help of Advancements in sensor technology have brought the automated real-time bridge health monitoring system. This system will help prevention in disaster management and recovery.IOT-based bridge safety monitoring system is developed using the Wireless Technology. By the use of wireless sensor nodes, various types of data can be collected like vibration, waterlevel and Bridge weight. Thease data would also be useful for monitoring and surveillance. The main moto of this paper is to develop a system that can prevent accidents or structural disasters of flyovers and bridges. This study gives the survey of various techniques used to monitor the conditions of the bridges and proposed a system for monitoring continuous structures and an ultrasonic sensor for monitoring the water level in the river to avoid traffic from a bridge in flood conditions using Kalman’s Filter algorithm. In case of emergency situations the gates of the Bridge will be automatically closed. The obtained data are transmitted to the server and database for admins to have real-time monitoring of the bridge conditions via mobile telecommunication devices. 04 30 2020 38 41 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3470.049620 https://www.ijitee.org/portfolio-item/F3470049620/ Sri Krishna College of Technology, Coimbatore (Tamilnadu), India T. Raghunathan* N. Abimanyu Sri Krishna College of Technology, Coimbatore (Tamilnadu), India. N.Arun Kumar Sri Krishna College of Technology, Coimbatore (Tamilnadu), India. J. Jegadheesan Sri Krishna College ofTechnology, Coimbatore (Tamilnadu), India. The prototype is a working model, incorporating sensors for measuring human parameters like body temperature, heart beat rate. A Raspberry pi microcontroller board is used to analyze the patient's Temperature, heartbeat inputs. This project offers a system that will track the crucial parameters a patient's condition to track continuously. If a patient experiences some critical situation, the unit also triggers an alarm in a patient’s close relative and to the doctor in various methodology. This is very useful for future analyzes and review of the health condition of patients. This project can be adapted for more flexible medical applications, by integrating dental sensors and announcement systems, As a very effective and devoted patient care network, it thus makes it useful in hospitals. The world is facing a widespread problem in recent years, which is increasing the number of elderly people. The home-care dilemma for the elderly is something that is very important. In this, Wireless section is becoming a major platform for many services & applications, Web page tracking is also used here, but also a controller. Paper introduces a standardized health monitoring framework as a step towards the progress that has been made in this department to date. 04 30 2020 549 552 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3473.049620 https://www.ijitee.org/portfolio-item/F3473049620/ M.Tech Student, Department of Computer Engineering, Bharati Vidyapeeth College Of Engineering, Pune, India Priyanka Mukund Kamble* Aditya Sarda Research Scholar, Department of Computer Engineering, Bharati Vidyapeeth College Of Engineering , Pune, India Dr. S.D. Joshi Professor, Department of computer Engineering, Bharati Vidyapeeth College Of Engineering, Pune, India Dr. M.S. Bewoor Associate Professor, Department of computer Engineering, Bharati Vidyapeeth College Of Engineering, Pune, India The cloud offers stockpiling administrations where clients can store a tremendous proportion of data. Clients are given adaptable measures of extra room alongside the specific number of processors and essential memory where they can play out the fundamental errands. This sharing of realities is commonly executed by framing organizations of clients who share a normal intrigue. Data shared through any individual might be gotten to the method for by utilizing various clients inside the foundation, where the realities owner is a piece of the data that is spared inside the cloud should be incorporated from burglary, abuse, etc. For the explanation that man or lady can likewise shop basic and delicate data inside the cloud it's miles the commitment of the cloud specialist organization to ensure that the data is agreeable and furthermore to hold the protection of the clients who share the realities inside the association clients in a set can likewise make adjustments to the realities which is shared inside the association. Additionally while somebody gets to the measurements most refreshed realities should be made accessible all together that substantial surmisings and activity. For this reason right now, protection and information security of shared information in cloud utilizing encryption to save the client security. Likewise Third Party Auditor (TPA) reviews the information put away in the cloud. He ought to have the option to check the dependability of the CSP without uncovering the personality of the clients in the gathering. 04 30 2020 42 45 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3474.049620 https://www.ijitee.org/portfolio-item/F3474049620/ MIREA - Russian Technological University, Moscow, Russia. I.Yu. Mamedova* O.А. Zyabneva MIREA - Russian Technological University, Moscow, Russia. I.A. Oranskaya MIREA - Russian Technological University, Moscow, Russia. The article discusses the importance of design generation methods in synthesis with additive technologies for creating innovative interior products of new visual forms from biodegradable plastic using an example of an interior panel. 04 30 2020 46 47 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3477.049620 https://www.ijitee.org/portfolio-item/F3477049620/ College of Environment and Natural Resources, Can Tho University, Vietnam, India. Vo Quang Minh* Le Van Khoa Department of Research Affairs, Can Tho University, Vietnam, India Thai Thanh Du College of Environment and Natural Resources, Can Tho University, Vietnam, India. Pham Than Vu College of Environment and Natural Resources, Can Tho University, Vietnam, India. Le Quang Tri College of Environment and Natural Resources, Can Tho University, Vietnam, India The soil organic carbon content played an important role in reducing soil fertility, then fruit yield and quality. Several studies in Mekong Delta, Vietnam area showed that soil of orchards was degraded after longtime constructed. The prediction of soil organic carbon in the fields at wider regions requires a large number of samples that are costly to analyze. The objective of this study found out the correlation between Munsell soil colour with the content of organic matter of the different orchard soils to predict the content of organic carbon from 52 orchard soil samples of the different ages of construction as soil degraded. A case study in Hau Giang province, Vietnam. The results showed that there was a complicated relation to soil properties. Soil colour has the same Munsell Hue, but there is different between Munsell Value and Chroma when the soil has at the same humidity. Organic Carbon content ranged from 1,32 to 5,6%. There was negative significant correlation between organic C content and Munsell soil color properties, such as with Munsell Value (r = -0,75** air-dry, r = -0,74** moist); Munsell Chroma (r= -0,55** air-dry, r = -0,66** moist). Since, Visual soil colour assessment is useful predictors of organic C content, especially for topsoil layers to predict the degradation of orchard soils. This study indicates that soil organic content can be predicted by using Munsell soil colours for visual field measurements on the old raised bed at the moist condition, which can be used for field soil fertility degradation recommendation. However, more study of pedotransfer function on other soils condition must be correlated for further recommendation. 04 30 2020 338 343 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3482.049620 https://www.ijitee.org/portfolio-item/F3482049620/ Dept. of Computer Engineering & Technology, Guru Nanak Dev University, Amritsar, India. Jasmeet Kaur* Anil Kumar Dept. of Computer Engineering & Technology, Guru Nanak Dev University, Amritsar, India. Emotion recognition is a rapidly growing research field. Emotions can be effectively expressed through speech and can provide insight about speaker’s intentions. Although, humans can easily interpret emotions through speech, physical gestures, and eye movement but to train a machine to do the same with similar preciseness is quite a challenging task. SER systems can improve human-machine interaction when used with automatic speech recognition, as emotions have the tendency to change the semantics of a sentence. Many researchers have contributed their extremely impressive work in this research area, leading to development of numerous classification, feature selection, feature extraction and emotional speech databases. This paper reviews recent accomplishments in the area of speech emotion recognition. It also present a detailed review of various types of emotional speech databases, and different classification techniques which can be used individually or in combination and a brief description of various speech features for emotion recognition. 04 30 2020 185 190 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3487.049620 https://www.ijitee.org/portfolio-item/F3487049620/ Department of Mathematics, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris, 35900 Tanjong Malim, Perak, Malaysia. Halina Hanim Mustafa Nor Azah Samat* Department of Mathematics, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris, 35900 Tanjong Malim, Perak, Malaysia. Zulkifley Mohamed* Department of Mathematics, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris, 35900 Tanjong Malim, Perak, Malaysia. Faizah Abu Kassim Department of Agricultural Science, Faculty of Technical and Vocational Education, Universiti Pendidikan Sultan Idris, 35900 Tanjong Malim, Perak, Malaysia. The mathematical modelling is one of the major research areas for mathematician and biologist in understanding the dynamics of transmissible infections. There might also be a mathematical model used to research the dynamics of plant disease and estimate the number of cases of outbreaks. In this research, we developed the compartmental mathematical model of the dynamical spread of transmission of plant disease with reference to basal stem rot (BSR) disease in oil palm plantation. The dynamics of the BSR disease were studied by a prone-contagious-sustained (PCS) compartmental mathematical model involving ordinary differential equations for three classes of hosts; prone, contagious and sustained. The equilibrium points and epidemic threshold conditions were analytically determined and numerical simulations were analyzed to support analytical results. From the numerical results, the solutions converge to each equilibrium state and PCS model simulation indicated that BSR disease has not become endemic. In particular, the threshold parameters that summarize the dynamics of the system will help to choose strategies for crop protection. 04 30 2020 191 194 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3493.049620 https://www.ijitee.org/portfolio-item/F3493049620/ Dept. of Computer Science & IT, Amrita School of Arts and Sciences, Kochi, Amrita Vishwa Vidyapeetham, India. Sangeetha Pradeep* Vishnupriya V Pai Dept. of Computer Science & IT, Amrita School of Arts and Sciences, Kochi, Amrita Vishwa Vidyapeetham, India. A S Mahesh Dept. of Computer Science & IT, Amrita School of Arts and Sciences, Kochi, Amrita Vishwa Vidyapeetham, India. The research proposes a blockchain based traceability system on agricultural products supply chain, where each exchange is rearranged as a block in the chain and is noticeable to the authorized members concerned. The Paper is based on a methodology in which an effective method for recognizing a guaranteed product using blockchain innovation is used; that is, to store information from chemical lab test in sequence and chronological order, so that they are difficult to control a short time later. Here we try to understand how blockchain technology is applied in tea powder production and delivery. The data blocks are permanent as any change to the recorded data, breaks the link. In the general process of converting tea leaves to the tea powder bundles, the traceability framework proposes security, transparency and safety. The need for a traceability system for the food supply chain is unavoidable when irrational chemicals and hazardous synthetic substances are manufactured, adulterated, processed and used. Adulterants are to a great extent added to food products to diminish production costs, sell it at a more significant cost or to attract the purchaser in some other way. To beat these issues, food supply industry needs a transparent system which empowers a purchaser to confirm the structure of each food product from the farm to the retailer. 04 30 2020 1218 1222 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3496.049620 https://www.ijitee.org/portfolio-item/F3496049620/ Professor, Department of Mechanical Engineering, Godavari Institute of Engineering & Technology (A),Andhra Pradesh, India M Sreenivasa Rao* Bandi Gopi UG Student, Department of Mechanical Engineering, Godavari Institute of Engineering & Technology (A),Andhra Pradesh, India B Sunilkanth UG Student, Department of Mechanical Engineering, Godavari Institute of Engineering & Technology (A),Andhra Pradesh, India P Avinash UG Student, Department of Mechanical Engineering, Godavari Institute of Engineering & Technology (A),Andhra Pradesh, India B Dileep UG Student, Department of Mechanical Engineering, Godavari Institute of Engineering & Technology (A),Andhra Pradesh, India As the demand for electricity increasing day by day there is a need for an alternative power generation from renewable energy sources. The usage of increasing these conventional energy sources and the irregular supply of the power generated by them create problems like stability, consistency, and quality of the power in the main electrical grid. The solution to this problem is the concept of hybrid energy-efficient multi-source energy systems.“Hybrid energy efficient multisource energy system includes two or more energy conversion devices or two or more fuels for the same device, that when integrated, overcome limitations that may be inherent in either”. Remote areas should be equipped with hybrid energy-efficient multi-source systems. This Project gives suitable ways to generate power in rural and agency areas also. The proposed system includes three systems that are capable of renewables, mainly solar (with the auto-tracking system), wind and Piezo along with power storage devices. This system has designed to give quality un-interrupted power to the developed Hybrid energy efficient multi-source energy systems. Further, this system is applied to maintain a continuous power supply for different loads like cooling and heating. 04 30 2020 48 52 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3499.049620 https://www.ijitee.org/portfolio-item/F3499049620/ Department of Urban Planning, O.M. Beketov Kharkiv National University of Urban Economy, Kharkiv, Ukraine. Tetiana Pavlenko* Olena Ovsiienko Educational–scientific institute of architecture and civil engineering, National University “Yu. Kondratyuk Poltava Polytechnic”Poltava, Ukraine Dmytro Ovsiienko Educational–scientific institute of architecture andcivil engineering, National University “Yu. Kondratyuk Poltava Polytechnic”Poltava, Ukraine. Yulia Kuznetsova Faculty of Humanities, National University “Yu. Kondratyuk Poltava Polytechnic”, Poltava, Ukraine. The algorithm of forming a network of agro-recreational eco-settlements in the step-by-step service system conditions is defined in the article. The peculiarities of agro-recreational eco-settlements network formation under the conditions of a step-by-step service system are given the case of certain administrative districts of Poltava region, Ukraine. Depending on the taxonomic structure of the agro-recreational eco-settlements territorial organization, the levels of their functional-planning organization have been formed: agro-recreational eco-locality, agro-recreational eco-center, agro-recreational eco-zone, agro-recreational eco-district, agro-recreational eco-region. On the basis of the algorithm of agro-recreational eco-settlements network formation, the landscape ecological integrity of the agro-recreational eco-settlements and their network was estimated using the landscape ecological integrity index and the dimensions of settlements greening were determined. 04 30 2020 53 58 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3501.049620 https://www.ijitee.org/portfolio-item/F3501049620/ Department of Mechanical Engineering, Delhi Technological University, Delhi, India. Reetik Kaushik* Roopa Singh Department of Mechanical Engineering, Delhi Technological University, Delhi, India. Yasham Raj Jaiswal Department of Mechanical Engineering, Delhi Technological University, Delhi, India. Ranganath M. Singari Department of Mechanical, Production and Industrial Engineering, Delhi Technological University, Delhi, India. The Indian railway network is one of the largest rail networks that undergo continuous expansion. However, more reliable and safe service in-network is subject of growing attention in India but to work on these challenges is a cumbersome task as each factor is influencing each other. Studying these parameters is tedious task and will contribute significantly to improving the operations and overall management of railway network. The purpose of this research study is to identify and optimize different vulnerable factors that are affecting smooth functioning of railway network through identification of hierarchical correlations among parameters and prioritizing performing a specific order for identification and improvement. Thus keeping in mind the perspective the research is based on an integrated approach of DEMATEL (Decision-making trial and evaluation laboratory) and TISM (Total interpretative structural modeling). Based on extensive review of literature and expert opinion, 15 vulnerable parameters were identified and expert elicitation was applied to determine correlation among factors. The scope of this research suggests that five layers structural model can be formed. Network layout and emergency measure during disaster held maximum weight and individual workload, stress, and different environmental conditions were independent factors inclined at lower levels. The research provides reliable information for decision-makers to form active strategies and management policies for more adequate and reliable system of network. Also more safe and profitable network that will promote sustainable development throughout India. This study provides more efficient, efficacious, robust and systematic way to surmount challenges. 04 30 2020 59 68 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3502.049620 https://www.ijitee.org/portfolio-item/F3502049620/ Assistant Professor, Electronics and Communication Engineering Department, Kongu Engineering College, Perundurai, Erode, India. Mr.V.Sathya Narayanan* Dr.N. Kasthuri Professor, Electronics and Communication Engineering Department, Kongu Engineering College, Perundurai, Erode, India. T. Dharani Student, Electronics and Communication Engineering Department, Kongu Engineering College, Perundurai, Erode, India. D. Deepa Student, Electronics and Communication Engineering Department, Kongu Engineering College, Perundurai, Erode, India. Historical documents contain valuable heritage information. These documents are preserved in the manuscript preservation center and archaeological departments. They are mostly degraded in nature and hence hard to read and understand the contents. So, there is a need for text segmentation and feature extraction to convert these manuscripts into machine editable format. In this work, we present an effective way to segment historical document images into characters. It is a challenging segmentation process due to complex background images. In this paper, horizontal histogram, vertical histogram and connected component analysis is used to segment text documents images. In this algorithm, the input image is converted to gray scale image, then gray image is converted into binary image [Otsu’s method] and then all the objects containing fewer than desired pixels are removed. Line and word segmentation is implemented using horizontal and vertical histogram method respectively. Then the connected components are labeled and properties are measured for the image regions. Connected component analysis is used to segment the characters and the individual characters are extracted. The simulation result shows that the proposed segmentation method achieves an average accuracy of 93.37% for HDLAC 2011 DATASET. Moreover this method is more efficient and more suitable for real time tasks. 04 30 2020 69 75 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3503.049620 https://www.ijitee.org/portfolio-item/F3503049620/ P G Student, Department of Computer Science and IT Amrita School of Arts and Science, Amrita Vishwa Vidhyapeetham, Kochi, India. Divya R* Anju Rajan K P G Student, Department of Computer Science and IT Amrita School of Arts and Science, Amrita Vishwa Vidhyapeetham,Kochi, India. Weather data interpretation has become vitally important in most domains of human activity and this is because in recent years, major changes have begun to impact climate globally – peninsular India is among the regions seriously affected with this and prediction has become a particularly urgent concern. In this work to bring out a better methodology to examine the weather data using Meta classifiers, a method is postulated by formulating it with Tree classifiers – J48 and Random Tree. Implementation phase has shown distinct results for both the classifiers. Regardless, we could conclude from this work that the effect of Meta Classifiers in J48 and Random Tree algorithm shows that efficiency can be improved by applying the same. 04 30 2020 153 157 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3504.049620 https://www.ijitee.org/portfolio-item/F3504049620/ Assistant professor of Mechanical Department, in Godavari Institute of Engineering and Technology, Shaik Nayeem* K.L.V.B.S.S.S. Chaitanya Pursuing B.Tech in Godavari Institute of Engineering and Technology. Completed Internship in NTPC Limited, Vizag and AVEVA , Hyderabad. G. Murali Krishna Pursuing B.Tech in Godavari Institute of Engineering and Technology. Ch. Dileep Pursuing B.Tech in Godavari Institute of Engineering and Technology. D. Venkata Ramana Pursuing B.Tech in Godavari Institute of Engineering and Technology. Present days speed of vehicle is concerned in both sub -sonic vehicle( like car, bus and truck etc) super -sonic vehicles (like rockets). Convergent divergent component is the main part which decide the speed of any vehicle. A attempt is made to find the optimal convergent angle (inlet taper angle ) and divergent angle(outlet taper angle [ .) with the help of Numerical analysis through ANSYS 19.0(R3). Deciding parameter for greater thrust is angles i.e.; and [ . So, Convergent divergent nozzles with combustion chamber is designed, modelled and analysed numerical for getting optimal values of convergent and divergent angles . The various angles used are [35,15] [35,20] [35,25] [40,15] [40,20] [40,25] [45,15] [45,20] [45,25]. At these different angle the parameters such as velocity, temperature, pressure and Mach numbers are estimated with the help of steady state fluent with carbon dioxide as inlet to the combustion chamber. 04 30 2020 76 81 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3509.049620 https://www.ijitee.org/portfolio-item/F3509049620/ Ph.D. Scholar, Department of Information Technology, Jagannath University Jaipur, Rajasthan, India. Shefali Gupta* Prof. (Dr.) Meenu Dave Ph.D., Department of Computer Science, Jagannath University Jaipur, Rajasthan, India. Collaborative filtering (CF) is one of the most important techniques of recommendation system and has been utilized by many e-commerce businesses to provide recommendation to its users. This paper sheds light on CF and its methods. This paper demonstrates a practical algorithm by leveraging data on user ratings for mobile phone devices and then provides recommendations to the target user based on the ratings given by similar users. It also elaborates an algorithm of CF that overcomes some of the common limitations faced by other algorithms. To explain the methodology of collaborative filtering this research paper looks at mobile phone data, especially the mapping of users (buyers) and the rating they provide for mobile phones they purchase. The model first evaluate multiple collaborative filtering techniques (variations of user based and item based filtering) by use of ROC curve and then provide recommendation to the user based on the best identified technique. Collaborative filtering is best utilized where the information on “users” and/or item is limited. For example, you can imagine the hotel booking website that provides recommendation to the website visitor, even though the user has never visited the website before (first time user). In such a situation as the information about user is limited the website algorithms are still able to utilize collaborative filtering methodology to provide recommendations. 04 30 2020 361 464 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3513.049620 https://www.ijitee.org/portfolio-item/F3513049620/ Assistant Professor, Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore. M. Vigneshwaran* Vishali S Student, Department of Computer science Engineering, Sri Krishna College of Engineering and Technology, Coimbatore. Dhivya A Student, Department of Electronics & Communication Engineering, Sri Krishna College of Engineering and Technology, Coimbatore. Epaphra T B.EMechanical Engineering from Sri Krishna College of Engineering and Technology, Coimbatore Dhananjayan T Student, Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore. In national security, details matter butwaiting to get them right would lead to failure. Developing a centralised system to monitor the groups of security personnel would help in making vital decisions on time. Hence using IOT technology, we create a smart cloth which transmits live location and psycho-physiological data of security forces to a permissioned database where the data is analysed to understand the state of troops. These sensitive data are protected from tampering usingblockchain. 04 30 2020 158 162 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3521.049620 https://www.ijitee.org/portfolio-item/F3521049620/ Department of Electronics and Instrumentation Engineering, Bannari Amman Institute of Technology, Sathyamangalam. Sneha. K* This paper explains the mathematical modelling and controller design of Two Tank Interacting System (TTIS) for a non-linear process. To design the non-linear process using Matlab Simulink and control the process using conventional PID controller and Fuzzy Logic Controller (FLC). A comparative study was conducted extensively made to examine which controller suits well for the non-linear process through the response observed. 04 30 2020 82 85 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3524.049620 https://www.ijitee.org/portfolio-item/F3524049620/ Department of Electrical and Electronics Engineering, SRM Valliammai Engineering College, Kattankulathur, India. M. Mahendran* M. Indumani Department of Electrical and Electronics Engineering, SRM Valliammai Engineering College, Kattankulathur, India. S. Manikandan Department of Electrical and Electronics Engineering, SRM Valliammai Engineering College, Kattankulathur, India. P. Manickavel Department of Electrical and Electronics Engineering, SRM Valliammai Engineering College, Kattankulathur, India. R. Karthik Department of Electrical and Electronics Engineering, SRM Valliammai Engineering College, Kattankulathur, India. The aim of this project is to minimize the cause of death of military man and innocent people by gathering their secret informations . The Phantom bat act as spy because it looks similar like a bat. It is fixed with ESP 32 WIFI camera to monitor the activities of the enemies. This bat design does not create any doubt to the enemies we are watching. It flies using a BLDC motor. The BLDC motor help the bat to lift from the ground and allow it to fly in the sky by creating 3 flaps per second to the wings which is fixed with the body of the bat. The two servo motors are used to control altitude and direction. All the electronics components present in flight board are controlled by the Arduino pro micro which is connected with RF receiver. RF transmitter will act as a remote controller and control the operation of bat. Here mobile phone will act as a display for the camera which we used. This bat will play a major role in military to save life. In future it will work on its own by implementing Artificial Intelligence and does not need manual control for this bat. 04 30 2020 86 88 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3526.049620 https://www.ijitee.org/portfolio-item/F3526049620/ Professor, Department Technology, Tashkent University of Information Technology named after Muhammad al-Khwarizmi. H.N. Zaynidinov* I. Yusupov Assistant, Department of Information Technologies, Tashkent University, Information Technologies Muhammad al-Khwarizmi. M.G. Mannopova Graduate student, Tashkent University of Information Technology, Muhammad al-Khwarizmi. In this article, a system application of local basis functions discussed, defined on compact media. formulas for estimating the accuracy of calculating the spectral energy by the method of two-dimensional Haar wavelets and main concepts of Haar fast transformation, spectral energy of Haar coefficients will be discussed in this article. effectiveness will be shown in order to solve problems of sampling of compact signals. Signals cannot only be functions of time, defined at finite intervals, but also functions of arguments of a different physical nature, for example, distances along surfaces. 04 30 2020 163 166 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3533.049620 https://www.ijitee.org/portfolio-item/F3533049620/ Assistant Professor, Department of Economics, Women’s College, Tinsukia, Assam, India. B. Gogoi* S. Saikia Assistant Professor in Department of Economics, Gargaon College, Sivasagar, Assam, India The process of crop diversification is generally used in agriculture to mitigate both production and price risk. Crop diversification is a process through which farmers diversify his farm activities from one crop to different value added crops so that he minimizes the existing risk in his farm operation. Most of the studies in literature in context to crop diversification have identified different factors that influence crop diversification in their study area. However, very few studies have attempted to examine the impact of institutional factors on crop diversification at macro level by using district level panel data in Assam. Therefore, this study makes an attempt to examine the impact of institutional factors on crop diversification through panel analysis. To fulfill the objective of this paper secondary data have been collected from different issues of Statistical Hand Book of Assam, assamstate.com, RBI, etc. The overall results of this paper show that institutional factors like farm size have positive impact on crop diversification except institutional credit. Institutional credit has negative impact on crop diversification. This paper will definitely help to bring some policy changes in the macro level to optimize crop diversification in the region. 04 30 2020 167 173 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3539.049620 https://www.ijitee.org/portfolio-item/F3539049620/ M.E, Power system Engineering, SRM Valliammai Engineering College Chennai,India. R. Rajesh K. Elango Head of the Department, SRM Valliammai Engineering College, Chennai,India. S. Rajanbabu Assistant Professor, Electrical and Electronics Engineering Department, SRM Valliammai Engineering College, Chennai, India. new technique for energy loss reduction for distribution networks is obtainable. It is based onnetwork reconfigurationand algorithms for radial network study. A method for the reconfiguration of distribution system with Distributed Generation (DG) since consistency and power loss is suggested. in this paper below ordinary working situations. Primarily a BPSO algorithm based tie-switches location is conceded out at end nodes taking physical limitations and then preceded by fixing and sizing of DG at the tie-switches location usingFBS optimization method. Before reconfiguration, tie-switch will be in open situation. Reliability at load points is calculated using load flow analysis.Energetic coding is used for discovery the minimal shortcut path from resource to the load. A discover algorithm has been formulate for the network reconfiguration difficulty, since tie-switch and DGs for loss minimization and reliability to improve the load necessity, power stability equations and voltage parameters. The planned approach has been tested on IEEE 33-node radial distribution Networks systems. 04 30 2020 195 200 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3542.049620 https://www.ijitee.org/portfolio-item/F3542049620/ Department of Quantity Surveying, Faculty of Built Environment, University Teknologi Malaysia, Johor Bahru, Malaysia, Monirul Islam* Syamsul Hendra Mahmud Department of Quantity Surveying, Faculty of Built Environment, University Teknologi Malaysia, Johor Bahru, Malaysia Sarajul Fikri Mohamed Department of Quantity Surveying, Faculty of Built Environment, University Teknologi Malaysia, Johor Bahru, Malaysia Muhammad Faeiz Bin Mohd Zainuddin Department of Quantity Surveying, Faculty of Built Environment, University Teknologi Malaysia, Johor Bahru, Malaysia. Naif Alaboud Umm Alqura University, College of Engineering and Islamic Architecture Employee turnover has always been the real issue in the fields of organisational behaviour, human resource management and labour economics. The issue of why people leave their workplace is always a key concern for human resource managers in various industries and their organisations because of the costly effect that comes from it. Although the vast study on employee turnover, the information regarding this issue is very scarce in the scope of construction industry in Malaysia. The purpose of this research is therefore to determine the factors influencing employees’ turnover in construction companies and the strategies taken by the companies to retain employees. A total of 45 sets of questionnaires were collected. The questionnaires collected were then analysed by frequency distribution. For the first objective, the findings revealed that the studied factors influenced employee turnover from a neutral to fair extent. For the second objective, all the strategies mentioned could be taken and used as retention strategies by the company from a neutral or fair extent and hence its practicality and effectiveness to retain employees. 04 30 2020 201 206 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3544.049620 https://www.ijitee.org/portfolio-item/F3544049620/ Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India. Dr.J. Madhusudanan* R. Deepika Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India. G. Mithra Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India. S. Suvathy Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India. The Internet of Things (IoT) has a monumental development in recent trends of commercial, environmental, and medical applications. The motors are considered the most important device in industries as of today. Hence, it is necessary to detect the defects of the motor and to increase the attention of defect detection by using different kinds of technologies like IoT. The advantages of a motor is that it is a simple rotor construction resulting in low value, ruggedness, and has low maintenance needs. Here, we present a condition observation with fault detection system for motor supported Internet of Things (IoT) for safe and economic electronic communication in industrial fields and we measure the aging of the motor by this system. To develop a motor observation system for detecting the defects and to calculate the aging (i.e) Lifespan Prediction of the motors is the key concept of this project. 04 30 2020 1223 1227 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3551.049620 https://www.ijitee.org/portfolio-item/F3551049620/ Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India. Mr.K. Prem Kumar* J. Preethi Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India. J. Sandhya Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India. Inti Satyapriya Harshini Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India. With the improvement of the computer technology, image processing techniques have become important in a wide variety of medical applications. Numerous new features have been added to satisfy people. People consult doctors online, without even visiting them. As health is a critical issue, we should take care with full attention and security. This paper proposes a medical image forgery detection system for the identifying whether the image is altered or not. The forgery done on the medical images can lead to various issues that can shake the medical industry this also promotes wrong diagnosis, organ trafficking etc. Hence a group of different forgery detection algorithms is described and by using the Convolution neural networks we can detect and the forged images. This paper also gives a brief outline about the advantages and disadvantages of the existing systems in forgery detection. 04 30 2020 1325 1329 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3558.049620 https://www.ijitee.org/portfolio-item/F3558049620/ Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia. Marym Mohamad Razip* KS Savita Department of Computer nd Information Sciences, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia. Khairul Shafee Kalid Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia. Manoranjitham Muniandy Department of Computer Sciences, Universiti Tunku Abdul Rahman (UTAR), Kampar, Malaysia. The Internet of Things (IoT) plays a huge part in the current Fourth Industrial Revolution which turned out to be one of the fastest contributors towards technological development around the world including Malaysia. As good as it sounds, an emergence of new technology means increases in the number of digital devices which later contribute towards the rise of E-Waste or the possibility of “IoT E-waste” generation if they are not managed properly. Hence, this paper aims to investigate the stakeholders involved in managing a sustainable household IoT E-waste collection processes as well as the elements involved in developing a sustainable system to manage those wastes. The research adopts case study research method where three cases were studied and a total of six participants were interviewed, with two participants per case. Outcomes from the interview were transcribed and analyzed using an Atlas.ti software. The identified stakeholders involved and the elements for a sustainable waste system will contribute towards the development of a Sustainable Household IoT E-waste Management Guideline which particularly enables the policymakers to strategize on the planning, development, and implementation of IoT initiatives for the future of Malaysia household IoT E-waste management. 04 30 2020 373 379 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3564.049620 https://www.ijitee.org/portfolio-item/F3564049620/ Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India. C. Kalpana* S. Hemavathi Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India. K. Geerthana Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India. T. Dhakshayini Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India. Technology has been playing a vital role in this world, where the work and the work place become digitalized. The paper reviews on monitoring the attendance using image processing, which involves face detection, labeling the detected face, training a classifier based on labeled dataset, and face recognition. Former methods on monitoring the attendance includes signing the attendance registry, fingerprint detection and barcode scanning where delinquency may occur. To prevail over and to take the technology to subsequent level image processing has been incorporated. Proposed system employs, capturing of the face in various dimensions, labeling of the captured images that is stored in the database for training and testing phase. Using the gathered data the machine is trained to recognize the face to provide access to the employees or students in the organization. The final phase is to take the attendance and maintain the record on attending hours using face recognition technique in which the input image of the employees or students is given. 04 30 2020 1823 1828 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3566.049620 https://www.ijitee.org/portfolio-item/F3566049620/ Computer Science and Engineering, National Engineering College, Kovilpatti, India. S. Prakashini* D.Vijaya kumar Computer Science, and Engineering, National Engineering College, Kovilpatti, India. Sentiment analysis combines the natural language processing task and analysis of the text that attempts to predict the sentiment of the text in terms of positive and negative comments. Nowadays, the tremendous volume of news originated via different webpages, and it is feasible to determine the opinion of particular news. This work tries to judge completely various machine learning techniques to classify the view of the news headlines. In this project, propose the appliance of Recurrent Neural Network with Long Short Term Memory Unit(LSTM), focus on seeking out similar news headlines, and predict the opinion of news headlines from numerous sources. The main objective is to classify the sentiment of news headlines from various sources using a recurrent neural network. Interestingly, the proposed attention mechanism performs better than the more complex attention mechanism on a held-out set of articles. 04 30 2020 207 210 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3573.049620 https://www.ijitee.org/portfolio-item/F3573049620/ Department of Computer Science, SRM Institute of Science and Technology, Chennai, India. Abhilash Pal* Sourav Saha Department of Computer Science, SRM Institute of Science and Technology, Chennai, India. Anita Department of Computer Science, SRM Institute of Science and Technology, Chennai, India. Humans have been entertained by music for millennia. For ages it has been treated as an art form which requires a lot of imagination, creativity and accumulation of feelings and emotions. Recent trends in the field of Artificial Intelligence have been getting traction and Researchers have been developing and generating rudimentary forms of music through the use of AI. Our goal is to generate novel music, which will be non-repetitive and enjoyable. We aim to utilize a couple of Machine Learning models for the same. Given a seed bar of music, our first Discriminatory network consisting of Support Vector Machines and Neural Nets will choose a note/chord to direct the next bar. Based on this chord or note another network, a Generative Net consisting of Generative Pretrained Transformers(GPT2) and LSTMs will generate the entire bar of music. Our two fold method is novel and our aim is to make the generation method as similar to music composition in reality as possible. This in turn results in better concordant music. Machine generated music will be copyright free and can be generated conditioned on a few parameters for a given use.The paper presents several use cases and while the utilization will be for a niche audience, if a easy to use application can be built, almost anyone will be able to use deep learning to generate concordant music based on their needs. 04 30 2020 784 788 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3580.049620 https://www.ijitee.org/portfolio-item/F3580049620/ Professor & Head Department of Computer Science & Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India. A. Balamurugan* M.Pranesh kumar Department of Computer Science & Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India. R.Muthu kumar Department of Computer Science & Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India. A Large destructive fire that spread over a forest or area of woodland is a forest fire and another major problem is entering of wild animals into the cities, farm lands, highway roads that causes loss of humungous amount of Property, Wildlife, Ecosystem and Economy. The project is focused on creating a permanent solution for this problems. It consists of an integrated IoT based WSN (Wireless Sensor Network) system to detect, monitor and solve the issue without any manual involvement. With the help of cloud computing, regular monitoring is achieved. The system uses the latest Microcontroller, Wi-Fi communication and precision sensors to monitor the forest. The system also provides a quick response system for the fire and escaping of animals into the farmlands can be controlled at the earliest stage. 04 30 2020 89 94 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3581.049620 https://www.ijitee.org/portfolio-item/F3581049620/ Professor & Head Department of Computer Science & Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India. A. Balamurugan* N. Gowtham Department of Computer Science & Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India. U. Atchara Department of Computer Science & Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India. M. Kannan Department of Computer Science & Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India. R. Bharani Prasad Department of Computer Science & Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India. In this project safe city demonstrates how the security in India can be increased with the help of video surveillance using facial recognition. In the Aadhar Card database, the Indian Government has stored fingerprint and Iris details of every civilian in India. But the Indian Government is only using the Fingerprint details in the voting system to avoid fake votes. With the help of this project any person roaming in the city limit can be easily monitored. This will be a very useful technology for the Police Department of India to track the criminals and to reduce crime rate. Whenever a person or criminal is needed to be traced , the photo of the target is uploaded into the software. The uploaded photo will be cross-checked by the software with the videos captured from the surveillance cameras. It will then identify the person based on the percentage of accuracy to be matched. In the past 5 years Indian Government have made many cities into smart cities. But now it’s time to build safe cities for India. 04 30 2020 2042 2047 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3582.049620 https://www.ijitee.org/portfolio-item/F3582049620/ CSE, Sri Krishna College Of Technology, Coimbatore, India Ms P. Kalpana* E. Arunmaran CSE, Sri Krishna College Of Technology, Coimbatore, India. S. Hanif CSE, Sri Krishna College of Technology, Coimbatore, India. T. Deebak CSE, Sri Krishna College of Technology, Coimbatore, India. Predicting student data to improve instructor and learner more efficiently in teaching and learning. It also strengthens contact between administrators, teachers and learners and helps monitor the behavior of students at multiple levels, such as class assignments, workshops, internal assessments and final exams. This program was built across three fields. We are Learning, Psychology and Computer Science. Educational institutes are increasingly using educational systems in recent years to assess their performance in order to construct plans for further growth and future actions. Such activities concentrate on discovering and improving approaches that can improve student academic performance, indirectly helping institutes attract more new students and maintain older students, the algorithms used in these systems are known as Educational Data Mining or EDMs. The prediction of student performance is an important aspect of EDM, which is the main area of this research work. Predicting student performance is a process that focuses on inferring information to learn from the student performance data.It can provide accurate collection of data on learning activities, such as time-on-task and evaluation scores, allowing for useful progress estimates for both the student and the trainer. In order to improve their performance, early warning of "at risk students" can be obtained which can help trainers to increase their focus on them. This provides a better way of predicting student performance to improve their skills at an earlier stage. Thus, student performance prediction helps to easily adapt, personalize and interfere. 04 30 2020 211 215 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3585.049620 https://www.ijitee.org/portfolio-item/F3585049620/ Assistant professor of Information technology in SRM IST,Chennai,Tamil Nadu,India. N.Noor Allema* Suman Jadam Department of Information Technology,SRM IST,Chennai,Tamil Nadu,India. S.Vishnu Chaitanya Department of Information Technology,SRM IST,Chennai,Tamil Nadu,India. G. Tejaswi Department of Information Technology, SRM IST, Chennai, Tamil Nadu, India. Spam has become one of the growing issues in social media websites. Some of the users in these websites creates spam news. Coming to twitter, Users inject tweets in trending topics and replies with promotional messages providing links. A large amount of spam has been noticied in twitter. It is necessary to identify these spams tweets in a twitter stream. Now a days ,a big part of people rely on content available in social media in their decisions, so detecting and deleting these spam details is very important. A basic framework is suggested to detect malicious account holders in twitter..At present to detect these spam users or accounts there are methods which are based on content based features, Graph based features. The system which is going to be created works on machine learning based algorithms. These algorithms help to give accurate results. In this system algorithm named Naïve Bayes classifier algorithm is going to be used. This algorithm is said to be combination of many other principles relyingupon “Bayes theorem” wherein the methods share a common mode of working. 04 30 2020 216 219 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3590.049620 https://www.ijitee.org/portfolio-item/F3590049620/ Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, India. G. Nivedhitha* C. Kuppusamy Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, India. S. Pradeep Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, India. M.Praveen Raj Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, India. Now a day’s numerous of the accident occur due to the improper driving of teenagers. The major reason for the accident is the alcohol consumption and driving the vehicle without the license approval. Most frequent checking of the license is very tedious and manual process. At most in every situation, the police officers can’t control the driving user without the driving license. Our proposed system is to reduce the manual effort of the police officers with Smart and secured Transportation system using IoT. The implementation system follows with the registration of the user with their finger print, 11 digit License number and the Date of Birth. The vehicle can be unlocked only after the verification of finger print scanning using R305 sensor and detection of alcohol consumption using MQ3 Sensor. Thus our proposed system will benefit for the police officers by manual checking of the improper driving user and it also avoid the accidents. In future along with this technology the more safety requirements can be additional added. 04 30 2020 95 99 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3599.049620 https://www.ijitee.org/portfolio-item/F3599049620/ Professor & Head/ Computer Science and Engineering, Sri Krishna College of technology, Coimbatore, Tamilnadu. Dr. A. Balamurugan* Dr. S. Siamala Devi Associate Professor in the department of computer science and Engineering. Sri Krishna College of technology, Coimbatore, Tamilnadu. Rajakumar G Department of Computer Science and Engineering. Sreegandh S Department of Computer Science and Engineering. Vivek S Department of Computer Science and Engineering. Health experts have increased taking advantage of the benefits of most modern technologies, thus generating a scalable improvement in the health care area. Because of this, there is a paradigm shift from manual monitoring towards more accurate virtual monitoring with minimum percentage of error. Advances in artificial intelligence (AI) led to exciting solutions with high accuracy for medical imaging technology and is a key method for enhancing future applications. Detection task of brain tumor is difficult in the medical field. Detection of brain tumors manually is time consuming and requires large number of MRI images for cancer diagnosis. So, there is a need for automatic brain tumors detection from Brain MR Images. Deep learning methods can achieve this task. Different deep learning networks can be used for the detection of brain tumors. The proposed method comprises a classification network which classifies the input MR images into 2 classes: one with tumor and the second without tumor. In this work, detection of brain tumor is done via classification by retraining the classifier using the technique known as transfer learning. The obtained result shows that our method works better than the existing methods. The most purpose of this project was to create a deep learning model that will classify if a subject features a growth or not based on MRI scan. I used the VGG-16, Inception v3, and Resnet. 04 30 2020 100 104 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3605.049620 https://www.ijitee.org/portfolio-item/F3605049620/ Assistant Professor ,Dept. of CSE, BMS Institute of Technology & Management, Yelahanka, Bengaluru, Karnataka,India,. Prof. Muneshwara M S* Ms.Abigail Angela Gracias UG Student, Dept. of CSE, BMS Institute of Technology & Management, Yelahanka, Bengaluru, Karnataka,India Ms. C G Neha UG Student, Dept. of CSE, BMS Institute of Technology & Management, Yelahanka, Bengaluru, Karnataka,India. Ms. Preethi UG Student, Dept. of CSE, BMS Institute of Technology & Management, Yelahanka, Bengaluru, Karnataka,India. Mr. Akarsh S UG Student, Dept. of CSE, BMS Institute of Technology & Management, Yelahanka, Bengaluru, Karnataka,India. Through the exploitation of scientific knowledge and technology, man has made wonderous strides in the field of automation, the focus of which lies in 'Robotics and Machine Learning'. All around us we see machines taking over work with accuracy and ease. Seen as a subset of artificial intelligence, machine learning relies on data, patterns in data and inference to aid technology in thinking for itself. This paper aims to apply the science of machine learning in the field of agriculture, by carrying soil fertility analysis using most accurate algorithm. The fertility of soil plays a principal role in determining the suitability of cultivating a particular crop on a given soil type. Analysis is carried out by the examination of various properties of the soil like the pH value, Electrical Conductivity, Moisture content, Temperature and (N)Nitrogen (P)Phosphorous (K) Potassium levels, followed up by soil type classification. Finally, a recommendation for the most suitable crop is provided in real time. 04 30 2020 380 383 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3609.049620 https://www.ijitee.org/portfolio-item/F3609049620/ PG Scholar, Department of Electronics Engineering , G H Raisoni College of Engineering,Nagpur,India Aishwarya Likhar* Rahul Agrawal Assistant Professor, Department of Electronics Engineering, G H Raisoni College of Engineering Nagpur,India Sanjay Dorle Professor, Department of Electronics Engineering, G H Raisoni College of Engineering ,Nagpur,India Wireless networks enable wireless-nodes to develop and broadcast messages in an attempt to reinforce congestion protection and performance. Meanwhile, due to distrust environments, it’s mile tough for the wireless-nodes to assess in reliability of the acquired messages. In this work, we advise the decentralized control machine in Wireless networks situated on the blockchain techniques. During this machine, wireless-nodes must be verifying obtained messages from the neighboring Wi-Fi nodes by using Bayesian Inference Model. On the idea of this validation outcome, Wi-Fi node is going to be generated the rating for every message source of wireless-node. With this ranking uploaded from Wi-Fi nodes, Roadside Units are often calculated the trust cost offsets of worried wireless nodes, p.C. This statistic right into the block. Then, to every of the Roadside Unit are going to be attempt for adding their “blocks” to be consider block chain that's maintain with aid of all Roadside Units. Make the utilization of the joint Proof-of-Work and Proof-of-Stake consensus the system, extra overall fee of the offset (stake) is within a block, more easy the Roadside Unit are often located the nonce for their hash feature (evidence-of-paintings).During this manner, all the Roadside Unit collaboratively preserve an up to the date, dependable, and steady believe blockchain. Clone results can display that the proposed gadget be powerful also a possible in accumulating, computing, and storing agrees with values in Wireless networks. 04 30 2020 384 388 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3612.049620 https://www.ijitee.org/portfolio-item/F3612049620/ Assistant Professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai (Tamil Nadu), India. B. Aarthi* Rahul Kumar Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai (Tamil Nadu), India. Abhishek Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai (Tamil Nadu), India. Rahul Kumar Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai (Tamil Nadu), India. Blockchain is an evolving technology which helps in keeping records and process transactions in decentralized manner. Blockchain is considered as safest medium because of its decentralized nature and many protocols, algorithms which it follows to make sure that transaction are immutable. Blockchain concept basically uses BZT theorem, this is considered as one of secured algorithm to predict secure results. however formal verification approach for the smart contract is still the best way to perform verification. In our paper, we have depicted various algorithm according to which we can verify the smart contract in best possible way. 04 30 2020 1993 1995 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3615.049620 https://www.ijitee.org/portfolio-item/F3615049620/ SRM univercity, Kattankulathur, Chennai Tamilnadu,India Arunabha Mittra* Indranil Paul SRM univercity, Kattankulathur, Chennai Tamilnadu,India. S Sharanya SRM univercity, Kattankulathur, Chennai Tamilnadu,India. One of the leading causes of economic instability is the large-scale counterfeiting of the paper currency notes. Several media reports bring to light the alarming cases and the humungous scales of currency counterfeiting and how this issue has become very serious now. A report on how the Government is coping with these threats with new and stricter rules however counterfeiters adapt to the new rules in an alarmingly fast pace. Criminals continue to find a loophole in the system despite such strict security features. There have been impressive discoveries in the field of counterfeit currency, and this coupled with new age digital technology, counterfeiting is being fought well. However, it is impossible to track all counterfeit notes and impossible to have them checked at a short amount of time. Existing systems involve filing a case with the police, sending the documents for verification and waiting for the results to come. This method is based on Deep Learning, which has seen tremendous success in image classification tasks in recent times. This technique can help both people and machine in identifying a fake currency note in real time through an image of the same. Traditional Deep Learning algorithms require tremendous amount of compute power and storage and hence it is an expensive and elaborate process. The main goal is to make a faster and simpler mechanism to detect a counterfeit note that can be implemented in any random place like an ATM dispenser or an android application. The success of this application will greatly help the quick identification of the threat and help law enforcement in finding the source of the threat faster. 04 30 2020 220 223 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3626.049620 https://www.ijitee.org/portfolio-item/F3626049620/ Department Quality Systems, Peter the Great St. Petersburg Polytechnic University, Russia Tisenko Victor Nikolaevich* Lai Van Duong Faculty of Information Technology, FPT University, Hanoi, Vietnam. Ha Tuan Anh Faculty of Information Technology, FPT University, Hanoi, Vietnam. Nguyen Quang Dam Faculty of Information Technology, FPT University, Hanoi, Vietnam. Nguyen Quoc Hoang Faculty of Information Technology, FPT University, Hanoi, Vietnam. Attacks on users through mobile devices in general, and mobile devices with Android operating system in particular, have been causing many serious consequences. Research [1] lists the vulnerabilities found in the Android operating system, making it the preferred target of cyberattackers. Report [2] statistics the number of cyberattacks via mobile devices and mobile devices using Android operating system. The report points out the insecurity of information from applications downloaded by users from Android apps stores. Therefore, to prevent the attack and distribution of malware through Android apps, it is necessary to research the method of detecting malicious code from the time users download applications to their devices. Recent approaches often rely on static analysis and dynamic analysis to look for unusual behavior in applications. In this paper, we will propose the use of static analysis techniques to build a behavior of malicious code in the application and machine learning algorithms to detect malicious behavior. 04 30 2020 1283 1287 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3631.049620 https://www.ijitee.org/portfolio-item/F3631049620/ UG Student, Department of EEE, National Engineering College, Kovilpatti, India. M. Mariselvam M. Murugan UG Student, Department of EEE, National Engineering College, Kovilpatti, India. R. I. Ramamanikandan UG Student, Department of EEE, National Engineering College, Kovilpatti, India. P. Ramkumar UG Student, Department of EEE, National Engineering College, Kovilpatti, India. S. Sankara Kumar* Assistant Professor(SG), Department of EEE, National Engineering College, Kovilpatti, India T.Siva kumar Assistant Professor, Department of EEE, National Engineering College, Kovilpatti, India. Power Quality analysis is the starting point of the energy management. This power quality analysis is carried out in the Electrical and Electronics Department of an Academic Institution. The Power Quality analysis is aimed at, Conducting Power Quality analysis in all the different panels of the Electrical and Electronics department. To identify and measure the power quality instability similar to voltage, current, harmonics, quality of power factor and reactive power flow of the various panels in the EEE department. Performance of various panels will be analyzed. It also helps to decrease the heavy economic losses to customer and major break of the loads. We provide the implementation strategy with readings and the recommendations for each problem. This project also provides the improvements in the energy conservation and reducing harmonics in all the loads in the EEE department. 04 30 2020 224 229 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3637.049620 https://www.ijitee.org/portfolio-item/F3637049620/ Assistant Professor, Department of Information Technology, CBIT, Hyderabad, India. Eliganti Ramalakshmi* Hemanth Reddy Kakarla Student, BE, Information Technology, CBIT, Hyderabad. India Kranthi Jella Student, BE, Information Technology, CBIT, Hyderabad. India Smartphone sales are at an all-time high with the ever increasing use of smartphones, we have access to data like never before. But with information that vast, we often get suffocated by the images that clutter our devices, making it that much harder to get to the pictures that matter to us. With the power of Machine Learning and image processing, this Text Image Elimination App will free your device from all the clutter and make your life easier. The application removes the images they may not want on their phone. Images containing text will be processed and the text extracted from the images will be compared to a list of texts given by the user and if there is any instance of the text in the image it will automatically be deleted. This paper proposes an efficient android application where the user can optimize the storage space by eliminating the images of his interest based on text matching without directly going in to the directory. 04 30 2020 389 391 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3639.049620 https://www.ijitee.org/portfolio-item/F3639049620/ Assistant Professor, Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology- Coimbatore, Tamil nadu-India Arun Kumar Rajamanickam* Sarath Prasad M U UG Student, Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology- Coimbatore, Tamil nadu-India Sanjai Kumar E UG Student, Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology- Coimbatore, Tamil nadu-India Yashwanth Vineth S UG Student, Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology- Coimbatore, Tamil nadu-India In a past span of years there is a huge development in the automobile field it creates a demand for petroleum products leads to insufficient supply of fuels and also it causes more pollution. Due to this all the developed and developing countries are focusing in producing biodegradable fuels to reduce the cost and demand of fossil fuels and mineral oils. Many researchers are identify that vegetable oils and biogas are the beat alternate to the mineral oils. Since the vegetable oils are eco-friendly and biodegradable so it plays the major role in production of alternate fuels. In this paper the production of jatropha ester and the tribological properties were studied. Transesterification process was carried out to produce the ester from jatropha curcas oil. Jatropha curcas oil is a non-edible oil, ester prepared from jatropha curcas oil was added with nano copper oxide particles to improve the wear resisting property and reduce the pollution. 04 30 2020 105 107 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3649.049620 https://www.ijitee.org/portfolio-item/F3649049620/ Student in Computer Engineering at Thapar institute of engineering and technology, Patiala. Venkatesh Sharma* Kumar Sambhav Jain B. tech student in Computer Engineering at Thapar institute of engineering and technology, Patiala. Amrita Kaur Assistant Professor in the Computer Science and Engineering Department, at Thapar Institute of Engineering & Technology, Patiala. Ashima Singh Assistant Professor in the Computer Science and Engineering Department, at Thapar Institute of Engineering & Technology, Patiala. Huge hurdle neuro engineers face on the road to effective brain-computer interfaces is attempting to translate the big selection of signals made by our brain into words pictures which may be simply communicable. The science-fiction plan of having the ability to manage devices or communicate with others simply by thinking is slowly but surely, obtaining nearer to reality. Translating brainwaves into words has been another large challenge for researchers, but again with the help of machine learning algorithms, superb advances are seen in recent years. The exploitation of deep learning and acceptable machine learning algorithms, the management signals from the brain will regenerate to some actions or some speech or text. For this, a neural network is created for the brain and conjointly a mapping is completed to catch all the brain signals in which neural network will be additionally used for changing these signals into actions. From the past literature, it is being concluded that the Deep Neural Networks are one of the main algorithms that are being placed into use for this research. This review article majorly focuses on studying the behavioral patterns generated by the brain signals and how they can be converted into actions effectively so that people suffering from semi or full paralysis can use this technology to live a normal life if not completely but to a certain extent. Also, it focuses on analyzing and drawing a comparison between linear and non-linear models and to conclude the best-suited model for the same currently available to the researchers. 04 30 2020 523 529 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3650.049620 https://www.ijitee.org/portfolio-item/F3650049620/ Assistant Professor, Computer Science and Engineering Department, at Thapar Institute of Engineering & Technology, Patiala. Arwinder Dhillon* Amrita Kaur research scholar in Computer Science and Engineering Department, at Thapar Institute of Engineering & Technology, Patiala. Ashima Singh Leturer in Computer Science and Engineering Department, at Thapar Institute of Engineering & Technology, Patiala Cancer is one of the deadly diseases across many countries. However, cancer can be cured, if detected at an early stage. Researchers are working on healthcare for early detection and prevention of cancer. Medical data has reached its utmost potential by providing researchers with huge data sets collected from all over the globe. In the present scenario, Machine Learning has been widely used in the area of cancer diagnosis and prognosis. Survival analysis may help in the prediction of the early onset of disease, relapse, re-occurrence of diseases and biomarker identification. Applications of machine learning and data mining methods in medical field are currently the most widespread in cancer detection and survival analysis. In this survey, different ways to detect and predict lung cancer using latest Machine learning algorithms combined with data mining has been analyzed. Comparative study of various machine learning techniques and technologies has been done over different types of data such as clinical data, omics data, image data etc. 04 30 2020 230 236 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3625.049620 https://www.ijitee.org/portfolio-item/F3652049620/ Department of Electronics Engineering, Shah & Anchor Kutchhi Engineering College, Mumbai. Asha Durafe* In today`s digital scenario it has become very essential to maintain secrecy of criminal records otherwise forgery could happen. Using steganography it is possible to provide security for the information which is communicated over the internet from one crime branch to the other. Steganography one of the emerging security fields works to mask the very existence of the message. A wide range of carrier file formats can be utilized, but digital steganography is the extremely beneficial data hiding technique to secure criminal image as well as the crime scene images. Various applications have various prerequisites of the steganography method utilized. In this paper, we proposed CRSS (Criminal Record Security System) an image steganography method with LSB and RSA technique for enhanced security and along with that Raspberry pi and GSM module is used. Thus, for a more secure approach, the proposed method hides the criminal`s confidential records such as criminal`s image, crime scene digital images etc. using LSB steganography and also encrypts the confidential data making use of a private key using RSA algorithm and then sends it to the desired end. The receiver then decrypts the confidential data to get the original criminal information. CRSS is also proposed to send a QR code to the receiver which hides sensitive data and may include criminal`s previous crime history and other written proofs which are scanned at the receiving end reveals the entire criminal record. The entire system is implemented on Raspberry Pi 3 processor and thus a secure transmission of data without traditional desktop dependency in a more economical way could be established. 04 30 2020 684 689 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3656.049620 https://www.ijitee.org/portfolio-item/F3656049620/ Department of Electronics and Tele Communication Engg, Karpagam College of Engineering, Coimbatore, India C.Arul Murugan* Divyabharathi Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, India G.Suresh kumaar Department of Electrical and Electronics Engg, Karpagam College of Engineering, Coimbatore, India Nithiyananthan Kannan Department of Electrical Engineering, Faculty of Engineering, Rabigh King Abdulaziz University, Jeddah, Saudi Arabia Issa Etier Department of Electrical Engineering, Faculty of Engineering Hashemite University, Zarqa , Jordan Today, the major mobile network utilizes energy in the range of giga watts per year. Nowadays, in European markets energy prices increased around 18% of mobile network operational cost. The design methodology is provisioned with tradeoff between maintenance cost, energy consumption, QOS assurance and deployment. In the existing work, an optimization function for the network design and management has been formulated and its validity has been verified using results of simulation The overall objective of this work is to evolve a strategy to operate a cellular network in an energy efficient manner, thereby reducing energy consumption and electromagnetic pollution. Range of each sector corresponding to a particular cell differs from each other. This allows the sectors to be treated as individual cells and hence, sector zooming can be done. 04 30 2020 237 241 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3658.049620 https://www.ijitee.org/portfolio-item/F3658049620/ Assistant Professor, Department of Mechanical Engineering, Vinayaka Mission’s Kirupananda Variyar Engineering College, Periyaseeragapadi, Salem, A constituent college of Vinayaka Mission’s Research Foundation, Deemed to be University, Salem, Tamil Nadu, India. M Senthil kumar* S Venkatesan Professor, Department of Mechanical Engineering, Vinayaka Mission’s Kirupananda Variyar Engineering College, Periyaseeragapadi, Salem, A constituent college of Vinayaka Mission’s Research Foundation, Deemed to be University, Salem, Tamil Nadu, India. C Bright Samuel Department of Mechanical Engineering, Vinayaka Mission’s Kirupananda Variyar Engineering College, Periyaseeragapadi, Salem, A constituent college of Vinayaka Mission’s Research Foundation, Deemed to be University, Salem, Tamil Nadu, India. Friction stir welding (FSW) is a type of joining process, it uses solid state welding method, also it is widely used in same type and different types of welding like Al, Mg, Cu, Ti, and their alloys. In this study, friction stir welding of two aluminum alloys AA6082 is done with many sets of tool rotation speed, feed and axial force. In this experimental work FSW process was carried out for AA 6082 and optimization of that FSW process parameters were find out for maximum tensile strength values. Taguchi’s L4 orthogonal array was utilized for three parameters – tool rotational speed (TRS), traverse speed (TS), and axial force (AXF) with two levels. Several optimization was carried out with Taguchi method of grey relational tests. During the investigation obtained highest tensile strength value fourth sample 60.887 N/mm2 and lowest hardness strength value second sample 31HRB and bead appearance found very best surface occurred fourth test plates at the same time angle distortion observed very fine in the fourth test plate. The result was calculated for both ultimate tensile strength and hardness value. The expected grey relational grade was shifted from 0.704 to 0.792, it was the highest value received throughout this experimental results. It was mentioned that the multi-responses of FSW process was improved with this method. 04 30 2020 740 744 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3663.049620 https://www.ijitee.org/portfolio-item/F3663049620/ Department of Computer Science and Engineering at Faculty of Engineering and Technology, SRM Institute of Science and Technology (SRM IST), Deemed to be University, Kattankulathur, Chennai, India. Mr. Himanshu Pandey* Mr. Kundan Kishor Department of Computer Science and Engineering at Faculty of Engineering and Technology, SRM Institute of Science and Technology (SRM IST), Deemed to be University, Kattankulathur, Chennai, India. Mr. K. C. Prabu Shankar Assistant Professor (O.G), Department of Computer Science and Engineering, SRM Institute of Science and Technology (SRM IST), Deemed to be University, Kattankulathur, Chennai, India. Since the introduction of Machine Learning in the field of disease analysis and diagnosis, it has been revolutionized the industry by a big margin. And as a result, many frameworks for disease prognostics have been developed. This paper focuses on the analysis of three different machine learning algorithms – Neural network, Naïve bayes and SVM on dementia. While the paper focuses more on comparison of the three algorithms, we also try to find out about the important features and causes related to dementia prognostication. Dementia is a severe neurological disease which renders a person unable to use memory and logic if not treated at the early stage so a correct implementation of fast machine learning algorithm may increase the chances of successful treatment. Analysis of the three algorithms will provide algorithm pathway to do further research and create a more complex system for disease prognostication. 04 30 2020 1199 1203 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3673.049620 https://www.ijitee.org/portfolio-item/F3673049620/ Assistant Professor, Dept. of Computer Science and Engineering), SRM Institute Of Science and Technology, Chennai, India. Dr.S Usha Krithika* M.Ramana Sai Prasada Varma Dept. of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Y. Sukesh Dept. of Computer Science and Engineering, SRM Institute Of Science and Technology, Chennai, India. Automatic vehicle number recognition is used to recognize the vehicle number plate from images of vehicles and also the number from the number plate. It plays an important role in some applications such as automated parking, over speed tracking of vehicles, road traffic monitoring and issuing fine for traffic rule violators. Several challenges like number obstruction, faded numbers, blurring, time consumption, etc. are involved in number recognition from real-time images. We survey the techniques that have been applied for this problem. We also provide a classification of the techniques which will be useful for researchers to identify research gaps in this area. Finally, we provide future scope for research in this area. 04 30 2020 745 749 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3678.049620 https://www.ijitee.org/portfolio-item/F3678049620/ Department of Civil Engineering, Sri Krishna College of Technology, Coimbatore, India. Amritha C.V Padmanaban. I Department of Civil Engineering, Sri Krishna College of Technology, Coimbatore, India. Dharsana S. Department of Civil Engineering, Sri Krishna College of Technology, Coimbatore, India. Balamurali. K* Department of Civil Engineering, Sri Krishna College of Technology, Coimbatore, India. Foam concrete is a kind of air inflated lightweight concrete, which doesn’t contain coarse aggregate and can be regarded as an air inflated mortar. Foam concrete is made by adding foam into the cement slurry, the main use of foam in the cement mortar is to create air voids which act as a ball bearings inside the concrete mix. Foam is prepared by using foam generator or it can be made by sonication process of hydrogen peroxide. In this research work foam is formed by the sonication process of hydrogen peroxide separately then the foaming agent is diluted with water and air inflated to create the foam. Bottom ash from thermal power plant is collected and added in different proportions in the concrete mix to study the mechanical behaviour of the foam concrete. Mechanical properties such as compressive strength, split-tensile strength, flexural strength and thermal conductivity tests are carried out under controlled environment. The targeted design densities of all the specimens were expected to be 1600 kg/m3. The binder to filler ratio used in this study is 1:1, with the sand being completely replaced with bottom ash and Fly ash. 04 30 2020 392 396 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3683.049620 https://www.ijitee.org/portfolio-item/F3683049620/ Assistant Professor, Department of Computer Science and Engineering, GITAM (Deemed to be University, Bangalore, India. Mr. Manikanta K B* Mr. Yathish. D. P Assistant Professor, Department of Computer Science and Engineering, School of Technology, GITAM (Deemed to be University), Bangalore, India. Ms. KN Bhanutheja Firmware Engineer, Department of Computer Science and Engineering, Folsom, California City, USA. Dr. Brahmanand S. H. Professor and Head of Department, Department of Computer Science and Engineering, GITAM School of Technology, Bengaluru, Karnataka, India. India is a country which is having more youth man power. If we want our country to be a developed one we need to utilize both man and women resource also [2]. In order to achieve this both men and women should be treated equally without any gender discriminations. In order to achieve this we need to provide security for women who is working in late nights and travelling alone for home in order to prevent them from rapes and molestations. If any kind of molestations and rapes happen means it will going to be international news. Because of this entire government and whole country will put into shame. As women’s are going out for work and there are coming to home lately security for them from rapes and molestation plays a vital role in this security. We have to design a device to prevent this for some amount of time so that she can at least escape from that critical life threatening situation because always no one can able to monitor or can stay with her [2]. In order to achieve this we are designing a device that will going to use stun gun to generate small amount of electric shock so that it can make any person to be unconscious for some amount of time as well with the help of this device when she press stun gun it will going to trigger the Arduino [7] so that with the help of GSM [9] and GPS module [8] present in the device we can share the current location of the women in danger an alert message to the predefined users so that we can help the women in no time. 04 30 2020 1204 1207 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3684.049620 https://www.ijitee.org/portfolio-item/F3684049620/ Research scholar SCSVMV University, Kanchipuram, TamilNadu., India. Besta Suresh Babu* Dr. Mohammed Ali Hussain Professor Department of Electronics and Computer Science Engineering, KL Deemed to be University, Guntur Dist. Andhra Pradesh, India Dr. Mahmood Ali Mirza Professor Dept. of Computer Science, Krishna University, Machilipatnam, Andhra Pradesh, India. TSCH (Time-Slotted Channel Hopping) protocol is introduced recently by IETF 6TiSCH working group for achieving low energy consumption and highly reliable IEEE 802.15.4e. TSCH is a synchronous MAC (Medium Access Control) protocol with IPv6 enabling Internet of Things (Io T) that are deployed in environments that are prone to interference. However, the IEEE 802.15.4e only describes TSCH link-layer design without a study of communication scheduling and network formation for high density and rapid mobile ad hoc network (MANET) which are still an open issue to the research community. The exiting model incurs high latency and energy overhead for performing device association. To address aforementioned issues, this paper present an Adaptive Routing (AR) model for MANET using mobility enabled TSCH network. Our model reduces the overhead of mobile device within mobility enabled TSCH network by introducing a novel modified beaconing for achieving Adaptive Routing design. Experiment are conducted to evaluate performance of AR over existing approaches shows significant reduction of energy overhead and attain good packet routing outcomes. 04 30 2020 1829 1834 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3689.049620 https://www.ijitee.org/portfolio-item/F3689049620/ Department of Electronics and Communication Engineering, Government College of Engineering, Krishnarajapete, Mandya, Karnataka, India. Sharath. S* Rangaraju H G Department of Electronics and Communication Engineering, Govt. Sri Krishnarajendra Silver Jubilee Technological Institute, Bengaluru, Karnataka, India. Detection of Human is a vital and difficult task in computer vision applications like a police investigation, vehicle tracking, and human following. Human detection in video stream is very important in public security management. In such security related cases detecting an object in the video, sequences are very important to understand the behavior of moving objects which normally used in the background subtraction technique. The input data is preprocessed using a modified median filter and Haar transform. The region of interest is extracted using a background subtraction algorithm with remaining spikes removed using threshold technique. The proposed architecture is coded using standard VHDL language and performance is checked in the Spartan-6 FPGA board. The comparison result shows that the proposed architecture is better than the existing method in both hardware and image quality. 04 30 2020 242 248 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3690.049620 https://www.ijitee.org/portfolio-item/F3690049620/ Pursuing,Bachelor’s Degree, Sri Krishna College of Technology, Coimbatore, Tamilnadu, India. Anirudh Sankaranarayanan* Kanshiram U. Pursuing, Bachelor’s Degree, Sri Krishna College of Technology, Coimbatore, Tamilnadu, India. Gokuladharshan T.P. Pursuing, Bachelor’s Degree, Sri Krishna College of Technology, Coimbatore, Tamilnadu, India. Suganya T. Assistant Professor, Department of Computer Science, Engineering, Sri Krishna College of Technology, Coimbatore, TamilNadu Twitter is a popularly used microblogging website that is used to share views, opinions, and updates. However, in recent times, an epidemic of spammer accounts have spread across the website causing disorder and chaos among the normal users. These spammers either aim to promote some commercial agenda or disturb the peace in the online environment. Our project aims to analyze the tweets made by users and predict if they might be spammers so that appropriate action can be taken on them. This is done using machine learning. The random forest algorithm has been modified by giving weighted importance to certain variables assigned using domain knowledge that has been obtained from exploratory analysis of various twitter data sets and knowledge from scientific research papers. A bag of words has also been added to the algorithm, in order to quickly identify the key phrases used by spam bots. By identifying the spammers we can systematically report them and create a more peaceful online environment. 04 30 2020 249 252 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3691.049620 https://www.ijitee.org/portfolio-item/F3691049620/ Assistant Professor, Dept. of Computer Science, Government First Grade College, Tumkur, Karnataka, India. Haridas. S* Rama Prasath.A Assistant Professor (Selection Grade), Department of Computer Applications, Hindustan Institute of Technology and Science, Chennai, India This paper throws understanding into nature inspired meta-heuristic algorithm; Particle Swarm Optimization based technique in designing various energy efficient MANET routing algorithms. Mobile ad hoc network (MANET) is a framework-less system of self-directed mobile nodes. Owing to the dynamic topological property of MANET, it’s very rigid task to calculate the performance of routing protocol under unpredictable network conditions and the performance of the network will degrade. The performance of Mobile Ad-hoc network is measured by metrics such as packet delivery ratio, battery power and total delay in delivery. Regular variation in topology affect route selection and lifespan of network, hence it is essential to optimize these metrics parameters. There are various protocols developed for routing. These routing paths are established to send data packets through the shortest path without a satisfying multi-objective approach. The purpose of the research is to discuss different approaches of swarm based intelligence routing algorithms used in MANET under dynamic conditions by comparing the measured metrics and to design a novel effective PSO based routing procedure for MANET. 04 30 2020 416 420 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3692.049620 https://www.ijitee.org/portfolio-item/F3692049620/ Research Scholar, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India. L. Manjunath* N. Prabakaran Associate Professor, Dept. of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India. Today most of the next generation wireless communication systems(5G) faces the challenge of supporting the demands for higher data rates growing exponentially and ensuring to provide a stable quality of service (QoS) throughout the network. Over the next 2 years meeting up these requirements need to maximize the capacity of the network by a factor which will multiply it by thousands. Moreover, the most important societal as well as economical concerns include the power usage of data and communication technology industry and pollution mostly energy-related. On 5G two contrary requirements of providing capacity to support higher cellular networks along with consuming less energy needs to be focused upon. Due to the scarcity of spectral sources, a wide consensus can only be achieved by increasing significantly the number of antennas operating per unit area. Here a heterogeneous network named HetNet is analysed, comprising a macro base station (BS) along with several antennas and an overlaid dense tier possessing SCAs(small cell access points)through a wireless backhaul to get data traffic. The SCAs mostly associate with static as well as low mobility user equipment whereas macro BS serve the medium-to-high mobility. This work analyses the methods of the ultra-dense wireless 5G heterogeneous networks considering the interference management along the mm-Wave backhaul links to utilize the spectrum and network densification to operate mm-Wave 5G HetNet. The study reviews several literature works, their drawbacks and developing a joint model by combining base station switch-off technique with interface mitigation. This study further throws light on the scope of managing the backhaul-aware interference which in turn enhances potential capacity of the system and depending on the suitable backhaul the capacity is improved. Millimetre wave(mm-Wave) has proved to be a remarkable candidate to overcome the issue of ensuring a broad bandwidth having secure link transmission. The ultra-dense heterogeneous networks are discussed along with discussing the role interference management algorithms to minimize energy consumption. The importance of interference management is discussed along with discussing issues related. The research problem is formulated following a comparative analysis. 04 30 2020 421 426 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3704.049620 https://www.ijitee.org/portfolio-item/F3704049620/ Associate Professor, Sri Vishnu engineering college, women, Bhimavaram, West Godavari V. Kesava Raju* K. Srinivasa Rao Professor, Department of Civil Engineering, College of Engineering, Andhra University, Visakhapatnam The present study aims at comparing the split tensile and flexural strengths of plain concrete and steel fibre reinforced concrete subjected to high temperatures. The grade of concrete designed for investigation is M30. The fibres used for investigations are hook end steel fibres with aspect ratio 50. The dosage of fibres added was 3% by weight of cement. The specimens of size 150 mm diameter and 300 mm length cylinders and 100 x 100 x 500 mm prisms are cast for testing. The samples are cured for 3, 7, 28 and 56 days. The specimens are air dried and then exposed to 27, 100, 200, 300 and 400°C for duration of one hour and cooled to room temperature and then the cylinders are tested under 2000 kN digital compression testing machine and the prisms are tested under 1000 kN digital universal testing machine. When exposed to elevated temperatures, standard concrete with steel fibres performs better than the plain concrete without steel fibres. All the results and observations are analysed and presented in the paper. 04 30 2020 427 432 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3707.049620 https://www.ijitee.org/portfolio-item/F3707049620/ Assistance Professor, Charan’s Degree college. Bengaluru, Karnataka.,India. Geetha* S. Suganya Associate Professor, RVS College of Arts and Science, Sulur, Tamil Nadu.,India. The most common cancer among the women younger than 35 in developing countries is cervical cancer. It is a human papilloma virus disease. It should be identified earlier by Pap smear test and treated earlier to avoid the consequences. Pap test a colonoscopy is widely used to check the vagina and the cervix. The Pap smear test is the most effective medical test, but it causes difficulty under the microscope at the point of analysis. Automatic cancer detection is designed to unravel the downside. This identification process involves some image processing methods, such as segmentation, and an improved SVM classification method. In this paper, an efficient Elman Neural Network (ENN) collaborating with Teaching Learning Based Optimization (TLBO) algorithm is proposed to classify cancer using Pap Smear Test images. At first, an input image of Pap smear is converted into grey level from the RGB. The grey level image is preprocessed to eliminate unwanted noise produced and smoothened with Kuan Filter (KF). Active Contour Method (ACM) has been used to segment the identified cells from the Pap smear image. Features such as GLCM, haralick, solidity, shape, and other mathematical features are extracted for improving the accuracy. Classification has done using ENN-TLBO. TLBO is utilized for getting optimal weights during the training phase. Performance evaluation has done through the experimental outcomes where, ENN-TLBO yields good accuracy of 86.6%, than the prevailing algorithms such as Support Vector Machine, Radial Basis Function Neural Network classifiers. 04 30 2020 553 558 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3708.049620 https://www.ijitee.org/portfolio-item/F3708049620/ Electronics and communication Engineering, SRM Institute Of Science and Technology, Chennai, India. Srilekha M.K.* Venkatesan K Electronics and communication Engineering, St. Joseph college of Engineering, Chennai, India. Ramesh P. G.V Electronics and communication Engineering, St. Joseph Institute Of Technology, Chennai, India. Exponential growth in data centric services often leads to overhaul of backbone and access networks. Design of high transmission capacity of up to 640Gbps DWDM system with EDFA was analyzed to meet less distortion in an optical backhaul system. Further the length of EDFA and pump power of EDFA are varied and evaluated for 16, 32 and 64 channels data transmission efficiently, such that it caters to the requirements of access networks. Parameters such as pump power and length of optical Amplifier in DWDM system are studied and its output characteristics are analyzed from co-channel and counter-channel propagations. The dependences parameters such as maximal BER, minimal SNR values among all the channels with signal power detection for each pump power results are obtained and compared to the same. Evaluations of Quality factor and BER for each pump power with all three configurations were done for different lengths of EDFA. The DWDM system with suggested optimum EDFA parameters gives good results in terms of Q-factor, eye opening and BER. 04 30 2020 433 442 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3711.049620 https://www.ijitee.org/portfolio-item/F3711049620/ Dept. of CSE M S Ramaiah Institute of Technology Bangalore,India. Meeradevi* Sindhu N Dept. of CSE M S Ramaiah Institute of Technology Bangalore,India. Monica R Mundada Dept. of CSE M S Ramaiah Institute of Technology Bangalore,India. Machine learning techniques with high performance computing technologies can create various new opportunities in the agriculture domain. This paper does comprehensivereview of various papers which are concentrating on machine learning (ML) and deep learning application in agriculture. This paper is categorized into three sections a) Yield prediction using machine learning technique b) Price prediction c) Leaf disease detection using neural networks. In this paper we study the comparison of neural network models with existing models. The findings of this survey paper indicate Deep learning models give high accuracy and outperform traditional image processing technique and ML techniques outperforms various traditional techniques in prediction. 04 30 2020 1140 1146 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3713.049620 https://www.ijitee.org/portfolio-item/F3713049620/ Associate Professor, University Institute of Computing, Mohali, India. Dr. Amit Jain* Dr. Anand Kumar Shukla Associate Professor, University Institute of Computing, Mohali, India. Dr. Raju Kumar Associate Professor, University Institute of Computing, Mohali, India. The Online Social Network (ONS) or Social Media have become most popular platform for millions of users for their activities and at the same time it has become favorite place for cyber criminals for their illegal activities, generally known as social botnets, which uses different techniques to spread their information on social media like facebook, twitter, renren, linkedin etc. Several researchers have tried to detect several social botnets with different detection techniques. To avoid the detection, social botnets are now using advanced command & control (C&C) communication channels like hash tags, fraud click, friend requests, images, videos etc. Image Steganography techniques are now widely being used to carry out attacks. In this paper, the primary discussion is related to effects of social media botnets along with the different techniques for botnet detection. It also, explores the use of machine learning mechanism, thereby detecting the intrusions in stegano images. Thus, an effort has been made to localize the factors that have a major role in social intervention as a whole. 04 30 2020 530 533 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3720.049620 https://www.ijitee.org/portfolio-item/F3720049620/ Computer Science Engineering, SRM institute of Science and Technology, Chennai, India. Piyusha Sahni* Dr. C.N. Subalalitha Computer Science Engineering, SRM institute of Science and Technology, Chennai, India. Depression is viewed as a significant cause of suicidal inclination. It affects the style of writing manifested in the text. Analyzing linguistic markers in social media posts help in recognizing and classifying whether thoughts or sentiments expressed in source text correspond to a depressed user. A large amount of emotion-rich data generated by social media platforms is in the form of tweets, feeds, blog posts, etc. Analysis of this user- generated data helps in understanding an individual’s state of mind. The main focus is to scrutinize the posts of users of twitter to analyze the depression attitudes of users. Natural Language Processing and ML techniques like MNB, TF-IDF, SVC, SGD, and LR have been utilized for training the data set and estimating the efficacy of our proffered approach. Firstly, the words are reduced into their morphological form during pre-processing. Then, a depression analysis model is built based on the suggested method and various features of depressed users derived from psychological research. Tweets with the hashtags #depression are classified based on their content and their relative tendencies towards depression. Tweets related to social distance, workplace stress, peer pressure, family problems, personal weakness, failure, mocking, and self-stigma helped in depression detection. The results have been rendered using the key evaluation measures, which include accuracy, precision, and F1-score. The results of the study may be beneficial in assisting mental health awareness and supporting organizations to provide data about resources and counter common depression. 04 30 2020 1330 1334 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3721.049620 https://www.ijitee.org/portfolio-item/F3721049620/ Project Manager, Haryana State Electronics Development Corporation (HARTRON), Panchkula-134109, Haryana, India Rajesh* A cost-effective novel method, Optical Frequency Multiplication using a Fabry Parot Interferometer (FPI), is demonstrated with Optisystem for generating micro/ millimeter signals optically and distributed to several remote located base stations. The simulation results show that the relative strength and frequency of the harmonics is strongly dependent on sweep frequency, FSR, Frequency Deviation and FM index. It is observed that optical uplifting of 150 Mbps AM radio signals to 11.8, 17.8 and 23.8 GHz frequencies corresponding to 4th, 6th and 8th harmonic after transmission in optical downlink with the power level of 10 dbm, -10 dbm and -20 dbm respectively. Similarly, ASK data is recovered from the 4th harmonic of 12 GHz. To down-convert the uplink AM-RF signal of 5.8 GHz to a low IF of 200 MHz, 6 GHz high-frequency carrier generated by OFM is used, which is then sent back to the Central Station. QAM data at 550 MHz subcarrier is also recovered at CS successfully from 4th harmonic. Hence, the OFM system is used successfully for multiple functions concurrently, such as high-frequency-carrier-generation, optical signal transportation, frequency up-conversion, and bi-directional data transmission through generated harmonics. 04 30 2020 443 448 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3723.049620 https://www.ijitee.org/portfolio-item/F3723049620/ Department of Information Science and Enginnering, V.P.DR P.G.Halakatti College of Engineering and Technology Vijayapura, India. Shivakumar K. Honawad* Santosh S. Chinchalli Department of Information Science and Enginnering, V.P.DR P.G.Halakatti College of Engineering and Technology Vijayapura, India. Agriculture is a major backbone for most families. As we move from one location to other the soil is different. The yield from crop is not as much as accepted. The soil classification and crop prediction is done manually, so research in this field is at most importance. The Digitization technique has employed in this paper to overcome the manual task. Hence SCP algorithm has been implemented. The algorithm classifies images and provide suitable crop for classified soil. So this work can be used in agriculture field. 04 30 2020 449 451 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3725.049620 https://www.ijitee.org/portfolio-item/F3725049620/ CSE, BIT, Durg, India. Sumit Kumar Sar* Ramesh Kumar CSE, BIT, Durg, India. Classification of any given vibration signal as healthy or faulty can be done by employing classification algorithms available to us. Identification of a fitting classification algorithm is a task that should be done at the time of identification of the problem statement itself, such that required changes can be done in it if the need be. Hilbert Huang Transform (HHT) empowered Adaptive Neuro-Fuzzy Inference System (ANFIS) was used to obtain the most significant features of the vibration signals of both healthy and faulty rotating machines in the time and frequency domain, namely RMS velocity, Kurtosis, and Crest Factor (RKC). They were then fed to classification algorithms to classify the machines as healthy or faulty. Five machine learning techniques such as Probabilistic Neural Network (PNN), decision tree (DT), k- nearest neighbour (KNN), and Radial Basis Network (RBN) are utilized as classification algorithms. Decision Tree algorithm was found to be the optimal classification technique; overfitting was found to be a notable issue. To improve prediction, the decision tree algorithm was parallelly ensembled into Random Forest using the Bootstrap Aggregation method. 04 30 2020 452 455 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3730.049620 https://www.ijitee.org/portfolio-item/F3730049620/ Department of Physics, Bethune College, Kolkata, India. Dr. Sourav Ganguly* Mr Tirthankar Choudhury* Department of Physics, Haldia Government College, Haldia, India. Cross section of different evaporation residue have been calculated in 112Sn+16O (Neuron/Proton (N/Z) of the 112Sn target is 1.24) and124Sn+16O reaction (N/Z of the 124Sn is 1.48) with beam energy of 80 MeV using statistical model calculation code PACE4. These calculations predicts that the proton emission channels are predicted to be dominant when the N/Z ratio is small (i.e in the first reaction) whereas the neutron emission outgoing channels dominant in the second reaction when N/Z is large. Experimental phenomenon also revealed the fact that in order to populate the proton or neutron reach nucleus we have to choose the target material accordingly. 04 30 2020 456 457 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3732.049620 https://www.ijitee.org/portfolio-item/F3732049620/ Department of Computer Science and IT, Amrita School of Arts and Sciences, Kochi, Amrita Vishwa Vidyapeetham, India. Manjunath Rao* Calvin Joshua Fernandez Department of Computer Science and IT, Amrita School of Arts and Sciences, Kochi, Amrita Vishwa Vidyapeetham, India. Sreekumar K Asst. Professor of Department of Computer Science and IT, Amrita School of Arts and Sciences, Kochi, Amrita Vishwa Vidyapeetham, India. There are hundreds of human-affected skin diseases. The most severe skin disorders may have identical symptoms, so recognizing the distinctions between them is crucial. People should work closely with a dermatologist to identify and manage every skin disorder and insure it does not impact their lifestyle.Actinic keratosis (AK), that is also classified as solar or senile keratosis; is a pre-malignant crusty, thick skin area. It is a disorder of epidermal keratinocytes, induced by UV radiation upon the skin. While pre-cancerous in nature, they can develop into a form of skin cancer called carcinoma if left unaddressed. The other type of keratosis dealt within this paper is seborrheic keratosis, which are brown or black, thick, wart-like, waxy oval-shaped, slightly raised skin surfaces. The growths aren't damaging. Nevertheless, in some instances it can be impossible to differentiate a seborrheic keratosis from melanoma, which is a very dangerous form of skin cancer.Nevus (or moles) skin lesions are ones which are benign, where it may very rarely turn into melanoma skin cancer. In this article, along with techniques for extracting features (LDP [Local Directional Patterns], LBP [Local Binary Patterns] and HOG [Histogram of Oriented Gradients]),we have used an SVM classifier for the classification of Keratosis and also nevus skin photos. The LBP, LDP and HOG are means to extract features; these images are subsequently used for identification of derived features from these methods or algorithms and classified by the SVM (Support Vector Machine) classifier. For many of the classifications of keratosis and nevus skin images using these algorithms, we have obtained accuracy nearly above 80 %, whereby the LBP system together with the SVM classifier was the most powerful attribute extraction tool of the three with their polynomial kernel type. Using this algorithm-classifier,the main AK and nevus skin lesion images can be detected and diagnosed by the doctors in its early stage itself,thus helping save lives. 04 30 2020 397 403 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3737.049620 https://www.ijitee.org/portfolio-item/F3737049620/