-74813b3e17f460286df-67ff 20220323033434177 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 03 30 2020 9 5 Electrical Eng., Faculty of Eng. Rabigh, King Abduaziz University, Jeddah, KSA. Ahmed Abouelfadl* Abdullah Alshehri* Electrical Eng., Faculty of Eng. Rabigh, King Abduaziz University, Jeddah, KSA. Design of optical spectral filters based on mode coupling of optical fibers is presented. The finite difference method is applied to evaluate the dispersion characteristics of optical fiber coupler which is constructed from two fibers as a composite multi-dielectric waveguide with different cores but the same cladding. Also, power and field distributions for both fibers as a separate and as a composite waveguide are investigated. The spectral characteristics of the filters are computed depending on the coupling of two linear polarized modes LP01 and LP11. The dependence of the transmission coefficient on operating wavelengths is illustrated. Finally, the spectral bandwidth of filter as a function of the distance between the two cores is addressed. 03 30 2020 1814 1817 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2566.039520 https://www.ijitee.org/portfolio-item/E2566039520/ Professor and Head, Department of Electrical and Electronics Engineering, Vivekanandha college of technology for women, Namakkal, India. Dr. B. Gopinath R. Esaithendral PG Scholar, M.E in Vivekanandha College of Technology for Women, Namakkal, India. T. Gangothiri PG Scholar, M.E in Vivekanandha College of Engineering for Women, Tiruchengode, India. C. Mothika UG student, Department of EEE, Vivekanandha College of Technology for Women, Namakkal, India. N. Soniyashree UG student, Department of EEE, Vivekanandha College of Technology for Women, Namakkal, India. Remote Integrated Network Sensors (WINS) .This thought should be possible bysensing the bloodgroup by utilizing their unique mark and nowprovide another observing and control ability formonitoring the fringes of the nation and coordinating the unique mark of the psychological militants and distinguishing their blood gathering while at the same time going into the outskirt. Utilizing this idea we can without much of a stretch distinguish a more interesting or a few psychological oppressors entering the fringe. The outskirt region is isolated into number of hubs. Every hub is in contact with one another and with the fundamental hub. The commotion created by the strides of the outside are gathered utilizing the sensor. The human fingerprints can be separated into three primary classes as circles, whorls, curves, as depicted.This detected sign is then changed over into power phantom thickness and the contrasted and reference estimation of our accommodation. In like manner the thought about worth is handled utilizing a chip, which imparts suitable signs to the principle hub. Consequently the outsider is distinguished at the fundamental hub. A progression of interface, signal handling, and correspondence frameworks have been actualized in smaller scale power CMOS circuits. A small scale power range analyzer has been created to empower low force activity of the whole WINS framework. In this way WINS require a Microwatt of intensity. Be that as it may, it is less expensive when contrasted with other security frameworks, for example, RADAR under use. It is even utilized for short separation delay. Henceforth it is sensibly quicker. On a worldwide scale, WINS will allow observing of land, water, and air assets for ecological checking. On a national scale, transportation frameworks, and fringes will be checked for effectiveness, wellbeing, and security. 03 30 2020 1396 1400 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2567.039520 https://www.ijitee.org/portfolio-item/E2567039520/ Research Scholar, Department of Electrical & Electronics, MATS University, Raipur, C.G., India. Deepa Bajpai* Vivek Kant Jogi * Associate Professor, Department of Electrical & Electronics, MATS University, Raipur, C.G., India. Manoj Kumar Nigam Professor, Department of Electrical & Electronics, MATS University, Raipur, C.G., India. Switched Reluctance motors are very demanding among all type of motor due to its simple construction. Feedback circuit (control circuit) and design of Switched Reluctance Motor (SRM) require information of its parameters, like inductance, flux linkage and torque. High torque, high reliability and cheap manufacturing cost are the attractive features of the SR motors. In this paper we have simulated SR motor with initial design, teethed stator pole and multi-teethed stator pole using COMSOL multi-physics CAD software. We have plotted inductance profile and static torque characteristics which shows that the static torque characteristics has peak value with sharp reduction in torque in intermediate position with teethed stator pole, that can be overcome by using multi-teeth stator pole with compromising in maximum torque. 03 30 2020 1257 1263 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2575.039520 https://www.ijitee.org/portfolio-item/E2575039520/ University of Lampung, Indonesia. Helvi Yanfika* Yul Martin University of Lampung, Indonesia. Abdul Mutolib University of Lampung, Indonesia. Kordiyana K. Rangga University of Lampung, Indonesia. Ali Rahmat University of Lampung, Indonesia. The extension is an essential part of fishery sector services. Hence, efficient service of extension is necessary to support fishery activities to contribute to the increasing socio-economic level of fishery business players. These business actors, namely fish processors, fish farmers, and smallholder fishermen in Lampung Province, generally obtain such a little information as they are considered to be the passive group in seeking for information. Their primary concern is still to meet their daily needs, and this information is not yet a priority. In fact, a technological limitation also does not facilitate farmers to obtain information which results in a situation where extension worker is forced to be the main source of information for fishery business players. Therefore, it is essential to investigate how extension workers’ capacity in using non-cyber and cyber information technology also the role of institutional support in the utilization of information technology to increase extension workers’ capacity. This study was descriptive analysis research consisted of primary and secondary data. The method of data analysis used to answer the objective of this study was descriptive statistical analysis. The result of the analysis showed that extension workers’ capacity level in using non-cyber information technology to perform their task was considered excellent, and extension workers did not only depend on the information provided by the related institution in using cyber information technology. Extension workers were found to use a smartphone and other media to obtain information. Institutional support, such as higher educational institutions, NGOs, Fishery Agency, and BPTP, was still low. Therefore, institutions should increase the use of information technology, assist in using cyber information technology, provide information of using cyber information technology, provide a specific location for conducting training of cyber information technology, and provide regular training schedule for extension workers to increase the capacity of fishery extension workers. 03 30 2020 1545 1550 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2576.039520 https://www.ijitee.org/portfolio-item/E2576039520/ Department ofChemical Engineering, Institute of Technology-Dire Dawa University Dire Dawa, Ethiopia. Gebrihans Haile Gebrewbet* S. Ram Mohan Rao Biological and Chemical Engineering, department, Mekelle Institute of Technology, Mekelle University, Mekelle Ethiopia. G. Sakthivel Biological and Chemical Engineering, department , Mekelle Institute of Technology, Mekelle University, Mekelle Ethiopia. Abadi Gebreyesus Biological and Chemical Engineering,department , Mekelle Institute of Technology, Mekelle University, Mekelle Ethiopia. G. Solomon Kahsay Chemical & Biological Engineering department , Mekelle Institute of Technology, Mekelle University, Mekelle Ethiopia. From time to time researcher developed different types of electricity generating device s. Because electricity and home lighting are considered essential for a country’s economic and social developments. GH24 bio generator is a device that converts the chemical energy of waste organic compound into electricity (light) using naturally occurring microorganisms found within the waste. 40 cm height, 20 cm width, 60 cm length, and 3.5 Kg mass prototype was developed. The prototype was composed of four reactor chambers, sample inlet pipe, bridge, gas outlet pipe waste disposal pipe and upper and bottom protective layer. The greenness, simple operation and effective design are characteristic of the devices. Prototype testing was performed using a liquid dough as a sample. A maximum of 3.403 V was generated when the GH24 bio generator prototype operated with 3.5 L of waste liquid dough sample. This renewable energy is given light for 10-12 hr. using one light bulb. The device could be used as an important source of light for people living in off-grid access to electricity area. Other benefits of the device is used to minimizing the health and environmental impact of fuel-based lamps by replaced it. 03 30 2020 818 822 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2577.039520 https://www.ijitee.org/portfolio-item/E2577039520/ U-Com Software Private Ltd. Malaya K Nayak* The risk associated with information technology is quite big especially when it comes to using, own, operate, and select information technology systems for an organization. The risk associated with information technology is possibly termed as a business risk. It includes IT-related prospects that may affect businesses. This can be achieved with both a questionable relapse and scale which threatens the alignment of key objectives and goals. The study is based both on empirical studies and on true case analysis. The study found that top management understands the essential part of technology development in organizations that are infamous for corporate viability and efficiency because of the use of IT hardware and computer software. 03 30 2020 1264 1267 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2584.039520 https://www.ijitee.org/portfolio-item/E2584039520/ Computer Science and Engineering, Nagarjuna College of Engineering & Technology, Bangalore, India. Dr. Shantakumar B P* Dr. Premjyoti P Electronics and Communication Engineering, Nagarjuna College of Engineering & Technology, Bangalore, India. Nagashree N Computer Science and Engineering, Nagarjuna College of Engineering & Technology, Bangalore, India. Sangeetha Choudhary S Computer Science and Engineering, Nagarjuna College of Engineering & Technology, Bangalore, India. Nischal S Computer Science and Engineering, Nagarjuna College of Engineering & Technology, Bangalore, India. Pathipati Sujith Kumar Computer Science and Engineering, Nagarjuna College of Engineering & Technology. Ranjith Kumar V Computer Science and Engineering, Nagarjuna College of Engineering & Technology. The paper titled "Elucidation: Scantiness of “electrower” is an electric energy and its effective utilization during peak hours" is used to book the electrower according to requirement of the customers so that everyone can use the electrower effectively and efficiently without any wastage. The electricity usage is more than the generated during peak hours, due to this there is a shortage of electricity. To overcome this problem, we are proposing a system called Elucidation: Scantiness of electricity and its effective utilization during peak hours. There are separate modules for customer and administrator. The customer module has the page where the customer can book for electricity, request for cancellation, request for incrementing the power supply. The admin module can accept the requests from the customers and has the rights to cut off the electricity when threshold limit of the power is reached. The entire concept will be demonstrated through model. 03 30 2020 1552 1556 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2585.039520 https://www.ijitee.org/portfolio-item/E2585039520/ Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Anindhya Kushagra* Radha R. Asst Prof., Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Art is a beautiful form of expression and should not be hurdled by impairments of any form. Impairments such as partial forms of paralysis and various conditions that cause loss of muscle movement are obstacles faced while trying to make various artforms. Keeping the interests of the patient into consideration, and trying to provide a means of entertainment by helping the patient feel productive, an attempt is being made to achieve the same. The idea is to integrate and enhance the concept of generative art by implementing it using a heart rate sensor, which allows people to create different artworks by using their heart rate as a parameter that will affect the artwork being generated. Through the help of various software pertaining to generative art an extensive inclusion of code, the output obtained from heart rate monitor helps obtain randomized, yet unique, artforms. 03 30 2020 1401 1405 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2590.039520 https://www.ijitee.org/portfolio-item/E2590039520/ Research Scholar, Department of Computer Science and Application, Kurukshetra University, India. Abha Narwal* R. K. Chauhan Professor, Department of Computer Science and Application, Kurukshetra University, India. In recent days Web mining gathers all tools, approaches, and algorithms that had to retrieve information and knowledge through data-based data. The portion of this methodology is aimed at analyzing users ' behaviors, to continue improving the framework and content of websites visited consistently. A relevant question then arises: how much more the attempt to enhance the services provided via a website breaches the privacy of visitors? The use of important retrieval resources including web mining can threaten the privacy of users. This paper would concentrate on developing approaches to speed up the weblog mining process and also to show data visualization as a consequence of the log mining process and evaluate algorithms for data mining. The right metrics to equate algorithms will be used for the analysis of the classification methods, accuracy RMSE and MAE. The fundamental goal of the case study is to evaluate the usefulness of the expert-driven system and data-driven method for the classification of authenticated network traffic, in particular, SSH traffic from traffic log files. 03 30 2020 2337 2341 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2591.039520 https://www.ijitee.org/portfolio-item/E2591039520/ Department OF Marine Engineering, Amet Deemed to be University S. Sinthuja* Level shifter is used to communicate between low core voltage to high input and output voltage. It is an interfacing component between two voltages. Level Shifter enters between different modules for voltage communication without using any additional pin. To minimize power consumption due to different supply voltages in the level shifter circuits, voltage shifting from low to above threshold. MTCMOS is used in this technique along with edge triggered flip flop. In this technique the predicted power consumption reached below 1.5mW from the conventional power consumption. Using Different power supply predicted power consumption is achieved in this Technique. 03 30 2020 1904 1906 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2596.039520 https://www.ijitee.org/portfolio-item/E2596039520/ Mechanical Engineering Department National Institute of Technical Teacher Training and Research, NITTTR, Chandigarh, India. Arun Kumar Singh Gangwar* Dr. P. Sudhakar Rao Mechanical Engineering Department National Institute of Technical Teacher Training and Research, NITTTR, Chandigarh, India. The main objective of this paper is to study the development of research work performed for femur bone. A broad literature survey from 1980 to 2019 was studied. It was observed that researcher had performed modal analysis, strength analysis and fracture study of femur bone in previous study. The natural frequencies were determined and different mode shapes were studied. The bone materials and different boundary conditions of previous study were noted and future research problems was identified. In conclusion from previous studies it was noted that there is lot of scope to perform study on femur bone. These studies will be related to fracture identification, healing of femur bone and advanced strength analysis for varying bone size using different boundary conditions. For surgical implants few new materials are identified that can be used for future study. 03 30 2020 1406 1412 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2598.039520 https://www.ijitee.org/portfolio-item/E2598039520/ Department of Mechanical Engineering, PES College of Engineering, Aurangabad, India. Mohd. Tareq Siddiqui* Dr. Jayant T. Pattiwar Department of Engineering & Technology, Dr. BAM University, Aurangabad, India. Email: jayantpattiwar@gmail.com Dr. Avinash P. Paranjape, Department of Electrical Engineering, Govt. Engineeirng College, Aurangabad, India. Dr. Ashok J. Keche Department of Mechanical Engineering, MIT College, Aurangabad, India. Cellulose based insulation in the form of different papers and pressboard play a vital role in transformer manufacturing as very high level of voltages are encountered during transformer operation. Cellulose being hygroscopic in nature contains 8-10% moisture by weight. The life of a transformer is critically dependant on the state of cellulose insulation so much so that, paper with 1.5% moisture content ages 10 times faster than with only 0.3% moisture. For obvious reasons, it is very important that the moisture is removed from transformer insulation. As of today, the latest technology available for this moisture extraction is the vapour phase drying process. This paper evaluates the influence of temperatures at various locations on the drying time of two 220kv transformer insulations in vapour phase drying process. 03 30 2020 645 651 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2603.039520 https://www.ijitee.org/portfolio-item/E2603039520/ Faculty of Engineering, International Islamic University Malaysia, Gombak, Malaysia. Shariq Haseeb* Aisha Hassan A. Hashim Faculty of Engineering, International Islamic University Malaysia, Gombak, Malaysia. Othman O. Khalifa Faculty of Engineering, International Islamic University Malaysia, Gombak, Malaysia. Ahmad Faris Ismail Faculty of Engineering, International Islamic University Malaysia, Gombak, Malaysia. Internet of Things aims to automate and add intelligence into existing processes by introducing constrained devices such as sensors and actuators. These constrained devices lack in computation and memory resources and are usually battery powered for ease of deployments. Due to their limited capabilities, the constrained devices usually host proprietary protocols, platforms, data formats and data structures for communications and therefore, are unable to communicate with devices from different vendors. This inability leads to interoperability issues in Internet of Things which, is in fact against the spirit of Internet of things which, envisions interconnection of billions of devices and hence, results in an isolated, vendor-locked and close-loop deployments of IoT solutions. Various approaches have been made by the industry and academia to resolve the interoperability issues amongst constrained devices. However, majority of the solutions are at different layers of the communication stack but do not provide a holistic solution for the problem. In more recent research, there have been theoretical proposals to virtualize constrained devices to abstract their data so that its always available to applications. We have adopted this technique in our research to virtualize the entire Internet of Things network so that virtual TCP/IP based protocols can operate on virtual networks for enabling interoperability. This paper proposes the operations of the Constrained Device Virtualization Algorithm and then simulates it in CloudSIM to derive performance results. The paper further highlights open issues for future research in this area. 03 30 2020 532 539 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2606.039520 https://www.ijitee.org/portfolio-item/E2606039520/ Assistant Professor Department of Management, Symbiosis International (Deemed University) Pune, India. Dipen Paul* Poorva Pitke Assistant Manager, Department of Mechanical. Symbiosis International (Deemed University) Pune, India. Purva Karmarkar Department of Environmental Science, Symbiosis International (Deemed University) Pune, India. Wind is a powerful and renewable source of energy that flows in every corner of the surface of the planet. As the world moves towards renewable and alternate energy sources, the potential of wind energy has been recognized and methods to use it to its maximum potential are being explored. India has been harnessing wind power over the years, but only lately, it has sent an ambitious target of achieving 60 gigawatts (GW) of wind installed capacity by 2022. The government has issued several tenders to invite private players or Independent Power Producers (IPPs) to develop wind energy projects. Many foreign investors and the Private Equity players have shown interest in investing in this growing renewable energy (RE) market in India. However, developing a wind project comes with lot many challenges as compared to any other RE project. These challenges range from land availability to seeking grid connectivity approvals and evacuation of the power. Along with this, the current reverse bidding process for the tariffs, have made the per unit tariffs to cost as low as INR 2.4. Hence, it is important to consider the technical and commercial feasibility of the project to function at these tariffs. This paper studies the current scenario of wind energy in the Indian market and analysis the potential for the development of wind projects. It also analyses the technical and commercial feasibility of the project by assuming a 300 MW project, having INR 2.5 as tariff, using Wind Resource Assessment (WRA) and Financial Model. 03 30 2020 1041 1046 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2607.039520 https://www.ijitee.org/portfolio-item/E2607039520/ B. Tech graduate, Department Computer Science and Engineering (SCOPE) of Vellore Institute of Technology, Vellore, India. Poorva Sinha* Kakelli Anil Kumar Associate Professor at the School of Computer Science and Engineering (SCOPE), Vellore Institute of Technology, Vellore, Tamil Nadu, India. People are quite acquainted with the emerging social networking sites like Facebook, Twitter, Pinterest©, and LinkedIn. Many web developers and technical industry professionals are using these websites and applications consistently but may not be aware of the types of APIs and supported tools available and used for leading social networking platforms. Social networking sites have millions of active users who discover and share an enormous amount of user-generated content on a daily basis. Most of these platforms provide APIs and tools for web developers to incorporate social sharing into their applications and make it possible for the applications to leverage the features and functions of the platforms. Using these APIs and tools provided by social networking platforms, developers can build varied and innovative applications that feature social sign-ins, streaming real-time social data, social sharing and engagement, and much more. This paper represents a review and comparative study of REST APIs or APIs, in general, of the emerging social network platforms by discussing their API structure along with an overall understanding of the varied features these sites are born with or were improved to. Ultimately, we understand the reasons to why REST has become the building block of most APIs and is the eventual future. 03 30 2020 652 659 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2608.039520 https://www.ijitee.org/portfolio-item/E2608039520/ Assistant Professor, Department of Civil Engineering, Pillai HOC College of Engineering and Technology, Rasayani, Dist. Raigad Sandeep V. Gujjar* Soham Sawant Department of Civil and Infrastructure Engineering, Rustomjee Academy for Global Careers, Dahanu road (E), Maharashtra, India affiliated to University of Wolverhampton, UK. Ashish Kulkarni Department of Construction Project Management, Pillai HOC College of Engineering and Technology, Rasayani, Dist. Raigad, Maharashtra, India. Chaitali R. Department of Civil Engineering, Pillai HOC College of Engineering and Technology, Rasayani, Dist. Raigad, Maharashtra, India. Shivani G. Khabale Department of Civil Engineering, Pillai HOC College of Engineering and Technology, Rasayani, Dist. Raigad, Maharashtra, India. Usha N. Mane Department of Civil Engineering, Pillai HOC College of Engineering and Technology, Rasayani, Dist. Raigad, Maharashtra, India. Dr. Anand. M. Hunashyal Associate Professor, Department of Civil Engineering, Visvesvaraya Technological University, KLE Institute of Technology, Hubballi, Karnataka, India. Construction is one of the most important employment sectors in India with very minimal research being done to identify the delay factors and causes that affect the construction Industry. The opinions of the construction professional required for the research was obtained by conduction interviews. A set of questions were circulated between the professionals working on the site to acquire the causes and effects of delays faced by them. To resolve the issues various studies and researches have been done by various researchers. The data analyzed in the research was done by using Relative Important Index (RII) which helpsto categories and rank the causes of delays according to the importance of the causes with respect to its contribution towards time delays, arbitration, litigation, cost overrun and total abandonment. Spearmen’s rank correlation coefficient was used compare the effect of delays between contractors, owners and consultants. In this paper, the research is aimed towards finding the effects of various causes on the various parties on construction sites of coastal parts of Mumbai and methods of minimization of the same. 03 30 2020 823 836 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2609.039520 https://www.ijitee.org/portfolio-item/E2609039520/ Mechanical Engineering (Manufacturing Technology), National Institute of Technical Teachers Training & Research, Chandigarh, India. Sandeep Singh* P. S. Rao Mechanical Engineering (Manufacturing Technology), National Institute of Technical Teachers Training & Research, Chandigarh, India. Sanjeev Verma Senior Principal Scientist, Biomedical department CSIO-CSIR Chandigarh, India. The project generally relates to teeth cleaning devices, and more specially to motorized teeth cleaning devices. A hand-free simultaneous Whole-mouth cleaner is disclosed for brushing a user’s teeth all at once, without requiring manual manipulation, thereby enabling the whole mouth cleaner include top and bottom brush trays which include tooth brushing material such as bristles for contacting the users teeth, motor housed within a motor case located in the space formed by the brush trays and a switch or actuating the motor. In some embodiments the hands free simultaneous whole mouth cleaner includes a handle for easy insertion and a removal. In some embodiments, the tooth brushing material is capable of contacting all the sides of a user’s teeth, as well as the gum line. Other embodiments include an external surface capable of providing non-irritating frictional contact to soft tissue of a user’s mouth. 03 30 2020 758 762 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2610.039520 https://www.ijitee.org/portfolio-item/E2610039520/ Professor and Dean Department of Mechanical Engineering, ITM University Gwalior, India. Dr. Ratan Kumar Jain* Nadeem Faisal Assistant Professor, Department of Mechanical Engineering, ITM University, Gwalior, India. The energy consumption in ferrous foundries has been reported as a serious concern. The prevailing natural sources may not last long. By the time of availability of new resources we have to optimize the usage of prevailing resources to avoid serious conditions later on.The authors have attempted to analyze the effect of aspects of combustion of furnace oils in an oil fired rotary furnace with highly preheated air, and to verify the experimental results using PSOM (Particle Swarm Optimization) technique. The authors conducted a series of experiments on an oil fired rotary furnace of 200 kg capacity installed in a leading ferrous foundry. Detailed in measurements of temperature, and heat transfer, flame temperature, fuel consumption etc has been performed. During experimentation furnace was supplied with 10% excess air, preheated using multipass counter flow heat exchanger. The experimental investigations revealed that using 10% excess air drastically reduces the fuel consumption, increase melting rate, and the heat transfer rates due to enhanced flame temperature. The PSOM (Particle Swarm Optimization) technique also verified the experimental results. 03 30 2020 2322 2326 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2611.039520 https://www.ijitee.org/portfolio-item/E2611039520/ Computer Science Department, Mar Athanasius College of Engineering, Kothamangalam, India. Insiya Abdulsalam* Shirien K A Computer Science Department, Mar Athanasius College of Engineering, Kothamangalam, India Dr. Surekha Mariam Varghese Computer Science Department, Mar Athanasius College of Engineering, Kothamangalam, India. Text summarying is a process by which the most important information from the source document is precisely found. It stands for the information condensed to a longer text. Text summary is broken down into two approaches: extractive summary and abstractive summary. The proposed method creates an extractive summary of a given text and generate an appropriate title for the generated summary. Extractive summary is generated through sentence selection by using Rule-based concept. Eight different features are considered to rank each sentence according to its importance. Ranking assigns a numerical measure to each sentence. After ranking, sentences that has high rank compared to others will be selected to form the summary. The frequently occurring bi-gram is selected as the title for the summary. The system performs better than existing extractive summarization techniques like Graph-based system and achieved a precision of 0.7 03 30 2020 1682 1686 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2612.039520 https://www.ijitee.org/portfolio-item/E2612039520/ doctor of sciences in physics and mathematics, professor, Namangan Institute of Engineering and Technology, Namangan, Uzbekistan. Ulugbek Erkaboev* Rustamjon Rakhimov senior teacher, Namangan Institute of Engineering and Technology, Namangan, Uzbekistan. Jasurbek Mirzaev PhD reseacher, Namangan Institute of Engineering and Technology, Namangan, Uzbekistan. Nozimjon Sayidov Assistant, Namangan Institute of Engineering and Technology, Namangan, Uzbekistan. A theory is constructed of the temperature dependence of quantum oscillation phenomena in narrow-gap electronic semiconductors, taking into account the thermal smearing of Landau levels. Oscillations of longitudinal electrical conductivity in narrow-gap electronic semiconductors at various temperatures are studied. An integral expression is obtained for the longitudinal conductivity in narrow-gap electronic semiconductors, taking into account the diffuse broadening of the Landau levels. A formula is obtained for the dependence of the oscillations of longitudinal electrical conductivity on the band gap of narrow-gap semiconductors. The calculation results are compared with experimental data. 03 30 2020 1557 1563 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2613.039520 https://www.ijitee.org/portfolio-item/E2613039520/ Associate Professor, Dept of CSE, Lendi Institute of Engineering and Technology, Vizianagaram, India. G. Sateesh* N. Swetha Dept of CSE, Lendi Institute of Engineering and Technology, Vizianagaram, India. K. Bharathi Dept of CSE, Lendi Institute of Engineering and Technology, Vizianagaram, India. One-third of our country's income is derived from agriculture. Due to the presence of many fertile lands and deltas, India has always been one of the largest producers of food. Agriculture is the means of living for people in India. Due to many constraints, the country's revenue from agriculture is always getting decreased. These barriers include sudden rain, fire damage, and loss of crops by animals, lack of capital and proper irrigation facilities and so on. One step resolution for this problem is to innovate traditional farming with some modern technologies especially in the forest areas. Automation in agriculture helps in solving the problems in farming. Internet of Things (IoT)’s intervention in farming can give a solution so that it reduces the problems faced by farmers in our country. IoT is a framework that deals with communication between things and these things include sensors, actuators and other digital machines. The proposed system consists of smoke sensor, soil moisture sensor and ultrasonic sensor, to understand events or changes in the environment such as soil moisture level, environmental conditions like presence of fire and the presence of animals in agricultural areas and send this information for further processing. Hence proper water pumping based on the soil moisture level, sprinkling of water to control the fire damage, activation of control mechanism to prevent the entry of animals into the fields, spraying of pesticides to control pests can be done. Therefore, this system mitigates the losses in agriculture in a better way and assures that this can contribute better yields, particularly near forest areas as the possibility of destruction by animals is high. 03 30 2020 721 724 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2617.039520 https://www.ijitee.org/portfolio-item/E2617039520/ Professor, Head of the Department, Electrical and Electronics Engineering, Kongu Engineering College, Erode, India. Senthilnathan Nattadurai* Gomathy Sengottiyan Professor, Electrical and Electronics Engineering, Kongu Engineering College, Erode, India. Somesh Saravanan Final year , Electrical and Electronics Engineering, Kongu Engineering College, Erode, India. Santhosh Kumar Anandaramn Final year, Electrical and Electronics Engineering, Kongu Engineering College, Erode, India. Rishikeshanan Rajagopal Final year, Electrical and Electronics Engineering, Kongu Engineering College, Erode, India. Bala Venkatachalam Final year, Electrical and Electronics Engineering, Kongu Engineering College, Erode, India. The removal of shells of coconut and nut has been a problem for lots of years. Foot-operated and hand-operated systems are very in-efficient and in countries like India where large coconut farms are available, it is difficult to employ manpower alone. Efficient methods are necessary for the de-husking of coconut. This paper proposes Double spiked roller arrangement over traditional Dehusking tools and the modern dehuskers. This method employs the use of Single-phase motors instead of conventional three-phase motors. It helps in the reduction of price. The Machine dimensions are designed after various Averages of Coconut dimensions and torque calculations of the Single Phase Induction motor. The machine makes use of the Gear shaft-Pulley powered Single Phase motor which powers the spiked rollers. The rollers dehusk the coconut which when placed on it. It also possesses an adjustable base frame which helps in changing the speed and adjustment of the position of the motor in case Electrical speed varying methods are not available. This machine is extremely useful for small scale farmers because it’s a very low cost, high operating efficiency. 03 30 2020 848 852 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2619.039520 https://www.ijitee.org/portfolio-item/E2619039520/ Assistant Professor, Department of CSE, Geethanjali College of Engineering and Technology, Keesara, Medchal, India Preeti Prasada* Patti. Haritha Assistant Professor, Department of CSE, Geethanjali College of Engineering and Technology, Keesara, Medchal, India Motion detection is the main agenda of this paper, with smart technologies. This paper shows how motion can be detected with efficiency and at the same time with durability of the system. Many IOT (Internet of Things) systems are designed for the same purpose but cannot assure a long run of the system. This paper makes use of chip set called NodeMCU that is well known for its durability and also efficient enough by consuming low power and cost effective. We generally find other boards like Raspberry Pi which aren’t very durable in nature. The same system can be developed using these chips in a cost effective manner, the only problem with these chips is their durability. 03 30 2020 660 662 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2620.039520 https://www.ijitee.org/portfolio-item/E2620039520/ P.G Student Computer Science and Engineering, Francis Xavier Engineering College, Tamilnadu J. Sharon Jenice P. Jenifer Assistant Professor Computer Science and Engineering, Francis Xavier Engineering College, Tamilnadu B. Benita Assistant Professor Computer Science and Engineering, Francis Xavier Engineering College, Tamilnadu A Sensor is attached to a house which send message now and then about the housemates or the old people activities. Whether they had taken food in the correct time or not and other activities they perform in the proper time or not. Change Point Detection (CPD) is a matter of perspective which discovers deviating from what are normal or usual changes within the housemates. Any abnormal changes in the housemates have been identifying the presence of time points. The dissimilar changes occurs called SEPERATION Change Point Detection. It will not coincide when a remarkable occurrence of events at any points. Change Point Detection (CPD) occurs at the same time and in the problem of finding unexpected changes in facts and statistics collected together for references and analysis and in the property of the time series changes. An unusual real-time not involving any assumptions as to the form or in the parameters of a frequency distribution change point detection algorithm called Separation , It is used to calculate as a parting to recognize change points in fully measurement characteristics relating to measurements having sufficient depth and substance to be in time series. To ameliorate the order of this algorithm used in ARIMA with SEP algorithm. ARIMA model is used for predicting the Time series forecasting result. If emergency is occur then automatically send notification to caring person. The proposed work can decreasing computational cost and also improves the detection accuracy in the quality or fact of being useful of proposed technique. 03 30 2020 1268 1271 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2625.039520 https://www.ijitee.org/portfolio-item/E2625039520/ Associate Professor, Department of CSE, SIR CRR Engineering College, Eluru, India. Prof. JSVG Krishna Dr. M. Venkateswara Rao Professor, Department of CSE, GITM University, Visakhapatnam, India. Prof. Kattupalli Sudhakar Associate Professor, Department of CSE, PSCMR College of Engineering and Technology, Vijayawada, India. In basic terms, Big Data1 – when joined with Data Science2 – permit chiefs to gauge and survey fundamentally more data about the nuances of their organizations, and to utilize the data in settling on progressively keen choices. In early 2010, during the period when the development of Big Data was truly increasing noteworthy notification all through the 3Data Management industry, said that it "is advancing into the key reason for rivalry." It has now developed, information volumes proceed to develop, and now the inquiry is never again if it's another pattern and what influences it will have, yet how to use Big Data in significant manners for the venture. Information Science has been around for any longer than Big Data, yet it wasn't until the development of information volumes arrived at contemporary levels that Data Science has become an essential part of big business level Data Management. 03 30 2020 725 727 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2626.039520 https://www.ijitee.org/portfolio-item/E2626039520/ Research Scholar, Department of Computer Science and Engineering,IKG Punjab Technical University, Jalandhar, India. Renu Nagpal* Dr. Parminder Singh Department of IT, Chandigarh Engineering College, Landran, India. Dr. B. P. Garg IKG Punjab Technical University, Jalandhar,India. In this paper, Swine Influenza Model based Optimization (SIMBO) is modified as Swine Influenza mimicked Optimization (SIMO) and explored through the application in the antenna design. Different researchers proposed different optimization techniques and algorithms so that the accuracy of optima will be improved. For fast convergence and better accuracy SIMBO with its variants such as treatment (SIMBOT), vaccination (SIMBOV) and quarantine (SIMBOQ). We have modified Swine Influenza model to propose new technique known as SIMO. In SIMO, health of individuals is improved by synchronizing vaccination, quarantine and treatment. Test 1 and Test 2 are used before vaccine and quarantine respectively to adjust antiviral dose dynamically during its treatment. The additional feature in SIMO such as infection factor control and improve the health of individuals gradually without checking the state/health at every day. SIMO changes solution indirectly during treatment and directly via vaccination and quarantine. The time varying treatment control the health of individuals in defined days such that individual will not feel illness for longer duration. An available closed form formula of equilateral triangular microstrip patch antenna resonant frequency has been used to form the fitness function in order to optimize the dimensional parameters. The proposed technique is used to determine the accurate resonant frequency of equilateral triangular microstrip patch antenna of different dimension. In order to optimize the technique with speedy convergence and effective precision of global optima, this method also used for the optimization of standard benchmark functions. 03 30 2020 937 943 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2628.039520 https://www.ijitee.org/portfolio-item/E2628039520/ Scholar, Department of Electrical Engineering, National Institute of Technical Teachers Training and Research (NITTTR), Chandigarh under Punjab University, Punjab, India. Shyju. S* Dr. Lini Mathew Professor, Department of Electrical Engineering, National Institute of Technical Teachers Training and Research (NITTTR), Chandigarh, Punjab, India. Peruvannamuzhi Dam is built on the Kuttiady River at Kozhikode district, Kerala, India. The main purpose of the dam is to store water safely for irrigation and to control flood at the downstream area. Hydroelectric power plant is not associated with this Dam. At present, the basic dam operation parameters like reservoir level, rain data, and outflow rate are measured manually. There is no provision for inflow measurement. Most of the state reservoirs are almost full when heavy rainfall occurs during monsoon. The opening and closing of the gates of the dam depend only on the current water level of the reservoir. So the dam operators are forced to open suddenly all the shutters of the dam when water reaches Full Reservoir Level and this is a compensatory procedure. The sudden release of water simultaneously from different reservoirs caused flood in Kerala. This paper presents Internet of Things based automatic monitoring of different parameters for dam management and predict reservoir level after a particular period, say 2 hours. The above specified dam parameters is measured with different sensors like ultrasonic sensor and rain sensor. NodeMCU upload the measured data to cloud. Thingspeak IoT platform provide these data to user. Thingspeak provide MATLAB link and which analyze and predict reservoir level. These data and predictions are easily available to dam authorities, dam researchers, farmers and public through their mobile phone or Personal Computer. With the help of this prediction, the operator can open the shutter in an anticipatory manner. This predictive model can be used for flood control. 03 30 2020 2402 2408 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2631.039520 https://www.ijitee.org/portfolio-item/E2631039520/ P.G. Student, Computer Science and Engineering, Francis Xavier Engineering College, Tamilnadu, India. P. Jenifa Dr. S. Gomathi Associate Professor, Computer Science and Engineering, Francis Xavier Engineering College, Tamilnadu, India. Mrs. V. Perathuselvi Assistant Proffesor, Computer Science and Engineering, Francis Xavier Engineering College, Tamilnadu, India. Remote controlled aerial vehicle networks haven’t received right smart analysis attention. Specifically, security problem area unit is a serious concern as a result of such networks that carry very important data square measure at risk of numerous attacks. In our projected system to style and implemented a novel Location –Aided Delay Tolerant Routing Protocol(LADTR) with intrusion detection and response scheme, that operates at the UAV(Unmanned Aerial Vehicle)and ground station level, to find spiteful anomalies that menace the network. And conjointly UAV networks to be used in post-disaster operation, which combined with Store Carry Forward (SCF) techniques. During this theme, a group of detection and response techniques square measure projected to observe the UAV behaviors and reason them into appropriate list (normal, abnormal, suspect, malicious) in keeping with the detected cyber attack. Our simulation result make sure that the projected theme performs well in terms of attack detection even with an oversized range of UAVs and attackers since it exhibits a high detection rate , an occasional range of false positives, and prompt detection overhead and conjointly improve the packet delivery magnitude relation, network time period. 03 30 2020 1413 1416 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2632.039520 https://www.ijitee.org/portfolio-item/E2632039520/ Research Scholar, Department of Computer Engineering, Glocal University, Saharanpur, Uttar Pradesh, India. Mr. Farooq Nabi Dr. M. Mazhar Afzal Research Guide, Associate Professor & HOD of Computer Engineering Glocal University Saharanpur, Uttar Pradesh, India. Word ’Steganography’ is originated from Greekand has been used in several forms for 2500 years which is a art of hiding confidential data in any digital manner in such a way that no one can concealed it. It has found practise in various section like in military, government, diplomatic, medical, personal and intelligence agencies. This survey paper put the light on the basic of image steganography along with its different techniques and sub-techniques. Cover selection with recent trend ROI (region Of Interest) is highlighted. In addition, different types of Image file used in image steganography and performance parameter are discuss well. 03 30 2020 878 890 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2634.039520 https://www.ijitee.org/portfolio-item/E2634039520/ Professor, Department of Computer Science and Engineering, St. Martin’s Engineering College, Secunderabad, Telengana, India. T. Poongothai* K. Jayarajan* Professor, Department of Computer Science and Engineering, Malla Reddy Engineering College for Women (Autonomous), Secunderabad, Telengana, India. Mobile Ad Hoc Network (MANET) is a highly popular wireless network technology due to the proliferation of wireless devices. The characteristic of mobile ad hoc network is described as wireless links and open medium, centralized decision making, dynamic topology, limited power supply, bandwidth constraint and no predefined boundary. Due to its unique characteristics, this technology has been used to support communications in situations where it may be impossible to deploy infrastructure networks, such as military battlefields, disaster recovery sites and medical emergency situations. However, they appear to be susceptible to a variety of attacks than any other networks. The nodes of a MANET communicate with each other with the help of intermediate nodes. Each node of a network act as a host as well as a router. Efficient routing protocols have been developed to support the functionality of each node. These protocols trust that all the nodes are cooperative and well behaved. But some nodes act as a malicious node and launch various attacks on routing protocols. Mainly sinkhole attack affects the routing functionality of the network. Therefore, route inference-based attack detection has been proposed to handle the sinkhole attack in the networks. The proposed system computes the weight value by considering route factor, flow factor and sink factor. Based on the weight value, a malicious node is identified. The experiment results indicate that, the proposed system achieved a packet delivery ratio of 99.6% and throughput of 2700 kbps. 03 30 2020 944 950 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2635.039520 https://www.ijitee.org/portfolio-item/E2635039520/ Department of Electronics and Communication Engineering, BMS College of Engineering, Autonomous University, Bangalore, India. Mr. Vinayak U. Gandage* Dr. Veena M. B. Department of Electronics and Communication Engineering, BMS College of Engineering, Autonomous University, Bangalore, India. This paper proposes design and implementation of low power Delay Locked Loop Architecture, with dynamic Multiplexer based Phase Frequency Detector with minimum locking time. Clock and data recovery systems are employed to derive the clocking information to correctly decode the transmitted data at the receiver. Delay Locked Loop is one of the most important clock recovery systems. The DLL architecture is designed using Cadence Virtuoso 180nm Technology with 1.8V power supply. The proposed DLL with Multiplexer based phase frequency detector shows significant reduction in power dissipation by 10% compared to DLL designed using D-FF based PFD and achieves locking state within 10 clock cycles with minimum jitter of 4.84326ps, measured within clock frequency range of 100-250MHz. 03 30 2020 951 955 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2636.039520 https://www.ijitee.org/portfolio-item/E2636039520/ Computer Science Department, College of Computing and Information Technology, Taif University, Makkah, Saudi Arabia. S.M.F.D Syed Mustapha* Abdulmajeed Alsufyani Computer Science Department, College of Computing and Information Technology, Taif University, Makkah, Saudi Arabia. It is known in the literature that ontology had been used extensively in machine learning for performance enhancement for text retrieval. It is also shown that robust ontology with detailed description of the domain knowledge will contribute to the accuracy in the retrieval. Nevertheless, we argue in some domain such as news text retrieval, building an ontology manually can be costly for a large-scale news repository and especially with the changes in content due to the dynamic events. In addition, maintenance can be a dauting task to keep up with new words that are associated with new events. This paper demonstrates the attempt to fully automate the development of an ontology for identifying the news domain and its subdomain. The ontology specification is defined based on the needs of the accuracy in retrieval. The mechanism of generating the ontology specification is defined and the results of the retrieval performance is discussed. 03 30 2020 663 669 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2641.039520 https://www.ijitee.org/portfolio-item/E2641039520/ Research Scholar, School of Management, SRM Institute of Science & Technology, Kattankulathur, Tamilnadu, India. Vivek Raj S. N.* Dr. S. K. Manivannan Associate Professor, School of Management, SRM Institute of Science & Technology, Kattankulathur, Tamilnadu, India. Student Performance Management is one of the key pillars of the higher education institutions since it directly impacts the student’s career prospects and college rankings. This paper follows the path of learning analytics and educational data mining by applying machine learning techniques in student data for identifying students who are at the more likely to fail in the university examinations and thus providing needed interventions for improved student performance. The Paper uses data mining approach with 10 fold cross validation to classify students based on predictors which are demographic and social characteristics of the students. This paper compares five popular machine learning algorithms Rep Tree, Jrip, Random Forest, Random Tree, Naive Bayes algorithms based on overall classifier accuracy as well as other class specific indicators i.e. precision, recall, f-measure. Results proved that Rep tree algorithm outperformed other machine learning algorithms in classifying students who are at more likely to fail in the examinations. 03 30 2020 956 959 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2643.039520 https://www.ijitee.org/portfolio-item/E2643039520/ Computer Science and Engineering, I.K.Gujral Punjab Technical University, Kapurthala, India. Kaushik Adhikary* Shashi Bhushan Computer Science and Engineering, Chandigarh Group of Colleges, Landran, India. Sunil Kumar Computer Science and Engineering, Maharaja Agrasen University, Baddi, India. Kamlesh Dutta Computer Science and Engineering, National Institute of Technology, Hamirpur, India. The demand of Vehicular Adhoc Networks (VANETs) has been increasing in the area of vehicular and infrastructure communications. It has been felt that there is requirement of sharing of critical information related to safety and traffic management among different types of vehicles in a secure way. To ensure the smooth operation of the network, the availability of network resources is needed. The presence of either malicious vehicles or inaccessibility of network services makes VANET easy target for denial of service (DoS) attacks. The sole purpose of DoS attacks is to prevent the intended users from accessing the available resources and services. When the DoS attack is carried out by multiple vehicles distributed throughout the network, it is referred as Distributed DoS (DDoS) attack. The DDoS attacks are very dangerous and hard to be addressed in real time. The machine learning based DDoS attack detection algorithms have been proposed and presented by the research community in literature. In this paper, a hybrid algorithm of Decision Tree and Neural Network is presented for detecting and preventing different types of DDoS attacks in VANETs with highly efficient results. The simulation based experiments are carried out in order to evaluate and compare the performance of proposed hybrid algorithm with respect to different performance parameters. Based on experiments results, it has been found that the performance of hybrid algorithm has been increased significantly. 03 30 2020 669 675 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2652.039520 https://www.ijitee.org/portfolio-item/E2652039520/ Department of ECE, Sri Sarathi Institute of Engineering and Technology, Nuzvied, India. Lenin Babu Salagala* N S Murthy Sharma Department of ECE, Sreenidhi Institute of Science and Technology, Hyderabad, India. G. Laxmanarayana Department of ECE, Anurag Collage of Engineering, Ghatkesar, India. In recent days, On-Chip Communication is a major requirement in modern systems that produce efficient communication with less complexity and high throughput. Due to heavy traffic and increasing Network-On Chip (NoC) size, the routing algorithm produces poor performances. Normally, round-robin and matrix arbiters are used in NoC for high-speed switches. In this research work, three different types of arbiter algorithms are used such as priority algorithm, Time Division Multiplexed (TDM) algorithm, and Viterbi algorithm to improve the linearity of the NOC. Initially, the priority algorithm helps to minimize traffic congestion when the arbiter is in a busy mode. Second, the fairness and Quality of Service (QoS) of the NoC structure are analyzed by the TDM algorithm. Finally, the Viterbi algorithm based error prediction process is done in an NoC structure. Due to the usage of three proposed arbiter algorithms, the area of NoC can be reduced. The packet can be reached to the destination by using the arbitration process with less loss. In this research, the proposed methodology is called as Low Area- Fault-Tolerant Adaptive Arbitration based NoC architecture (LA- FTAA- NoC architecture). Finally, the Field Programmable Gate Array (FPGA) performance is evaluated such as LUT, flip flop, slices, and frequency in Spartan 6 hardware. In the proposed method, 2.42% of LUT, 3.1% of flip flop, and 8.63% of slices have reduced when compared to existing work. 03 30 2020 960 965 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2653.039520 https://www.ijitee.org/portfolio-item/E2653039520/ Department of Computer Science and Engineering, Mar Athanasius College of Engineering, Kothamangalam, India. Archana P. R.* Nisha T. P. Department of Computer Science and Engineering, Mar Athanasius College of Engineering, Kothamangalam, India. Leya Elizabeth Sunny Department of Computer Science and Engineering, Mar Athanasius College of Engineering, Kothamangalam, India. The user gives an input query in classical In-formation Retrieval (IR) system, keywords of the query are extracted and also the matching documents that contain one or more words specified by the user are retrieved. Keyword searches have a tricky time distinguishing between words that are spelled in similar way but mean something different. This often leads to hits that are completely irrelevant to the query. Se-mantic search seeks to enhance search precision by understanding searcher intent and along with the contextual significance of terms, as they seem within the searchable information space, whether on the net or within a closed system, to get more applicable outcomes. Semantically Enhanced Information Retrieval(SEIR) system can overcome the constraints of keyword based search. SEIR can semantically enhance the IR process. Therein way, searching is finished considering the meanings of query in-stead of the literal strings. Such a research automates tasks that need conceptual understanding of objects. 03 30 2020 966 972 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2656.039520 https://www.ijitee.org/portfolio-item/E2656039520/ Department of Computer Science Engineering, Galgotia University, Gr. Noida, India. Sanjay Kumar* Dr. J. N. Singh Department of Computer Science Engineering, Galgotia University, Gr. Noida, India. Dr. Inderpreet Kaur Computer Science Engineering , Galgotia College of Engineering & Technology ,Gr. Noida, India. We suggest a shading essentially based division theory using the Convolution Neural Network technique to observe tumor protests in cerebrum pictures of reverberation (MR). During this shading, the mainly based algorithmic division guideline with FCNN suggests that changing over a given dark level man picture into a shading territorial picture at that point separates the situation of tumor objects from partner man picture elective objects by fully exploiting Convolution Neural Network and bar outline package. Analysis shows that the methodology will succeed in dividing human mind images to help pathologists explicitly recognize the size and district of size. 03 30 2020 844 847 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2657.039520 https://www.ijitee.org/portfolio-item/E2657039520/ Business Analytics Specialization, Institute of Management, Christ (Deemed to be University), Bangalore, India. Shylaja S* Kannika Nirai Vaani M Assistant Professor, School of Business and Management, Christ (Deemed to be University). Bangalore, India. The New York City Taxi & Limousine Commission’s (NYC TLC) Yellow cabs are facing increased competition from app-based car services such as Ola, Uber, Didi, Lyft and Grab which is rapidly eating away its revenue and market share. Research work: In response to this, the study proposes to do profitability profiling of the taxi trips to focus on various key aspects that generate more revenue in future, visualization to assess the departure and arrival counts of the trips in various locations based on time of the day to maintain demand and supply equilibrium and also build a dynamic price prediction model to balance both margins as well as conversion rates. Methodology/Techniques used: The NYC TLC yellow taxi trip data is analysed through a cross-industry standard process for data mining (CRISP-DM) methodology. Firstly, the taxi trips are grouped into two profitability segments according to the fare amount, trip duration and trip distance by applying K means clustering. Secondly, spatiotemporal data analysis is carried to assess the demand for taxi trips at various locations at various times of the day. Thirdly, multiple linear regression, decision tree, and random forest models are adopted for dynamic price prediction. The findings of the study are as follows, high profitable segments are characterized by airport pickup and drop trips, Count of trip arrivals to airports are more compared to departures from airports at any time of the day, and further analysis revealed that drivers making only a few numbers of airport trips can earn more revenue compared to making more number of trips in local destinations. Compared to multiple linear regression and decision tree, the random forest regression model is considered to be most reliable for dynamic pricing prediction with an accuracy of 91%. Application of research work: The practical implication of the study is the deployment of a dynamic pricing model that can increase the revenue of the NYC TLC cabs along with balancing margin and conversion rates. 03 30 2020 973 979 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2669.039520 https://www.ijitee.org/portfolio-item/E2669039520/ Associate Professor in the department of information Technology, MVGR College of Engineering, Vizianagaram, Andhra Pradesh, India. Pavan Kumar Tadiparthi Venkata Suma Priya Kankipati under graduate in Information Technology, MVGR College of Engineering, Vizianagaram, Andhra Pradesh, India Jessie Alekhya Kandimalla under graduate in Information Technology, MVGR College of Engineering, Vizianagaram, Andhra Pradesh, India Priyanka Gottimukkala under graduate in Information Technology, MVGR College of Engineering, Vizianagaram, Andhra Pradesh, India Pradeep Kumar Bheemavarapu under graduate in Information Technology, MVGR College of Engineering, Vizianagaram, Andhra Pradesh, India Transportation plays a major role in today’s world. To move from one place to another place (long distances) which cannot be covered by walk, we use vehicles which consumes less time to reach destination. According to statistics, by 2050 the urban population will increase by 68% which leads to an increase in transportation that causes pollution and increase in the rate of road accidents. There are many methods and prevention measures to control pollution. The road accidents are caused due to distracted driving, high speed, drowsy driving and disobeying traffic rules. Among these, drowsy driving has been a cause for 20% of road accidents which is because of fatigue driving. In this article, a model is proposed based on image processing technique which is segmentation and a deep convolutional neural network architecture to improve the performance of the model when compared to the existing models. The proposed model works with better performance in different lighting conditions. 03 30 2020 2409 2512 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2671.039520 https://www.ijitee.org/portfolio-item/E2671039520/ Ph.D Research Scholar, JU, Bangalore, India, B.B.S. Kumar* Dr.P.S. Satyanarayana Retd. Professor & HOD, Dept. of ECE, BMSCE, Bangalore, India The research is carried out to find wavelets in image processing of CT(computerized Tomography) JPEG(Joint Photographic Experts Group) medical image for a Lossy Compression. The EZW(Embedded Zerotree Wavelet) and SPIHT(Set Partitioning Hierarchical Trees) algorithms method is implemented to identify the quality of image by DWT(Discrete Wavelet Transform). Quality analysis is processed based on parameters measure such as CR(Compression Ratio), BPP(Bits Per Pixel), PSNR( Peak Signal to Noise Ratio) and MSE(Mean Square Error). Comparison is made to justify having a good image retaining for seven wavelets, how they correlation each other. Using seven wavelets as assigned a new term Sevenlets in this research work. Medical images are very significant to retain exact image with minimizing loss of information at retrieving. The algorithms EZW and SPIHT give better support to wavelets for compression analysis, can be used to diagnosis analysis to have better perception of image corrective measure. 03 30 2020 1099 1104 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2672.039520 https://www.ijitee.org/portfolio-item/E2672039520/ Computer Science and Engineering ,Guru Nanak Dev University,gurdaspur, india. Arshdeepkaur Anil kumar* Computer Science and Engineering ,Guru Nanak Dev University,amritsar, india. Coronary illness is responsible for deaths in all age groups and is common among males and females. An excellent answer for this issue is to have the option to predict what a patient's health status will in future so the specialists can begin treatment much sooner which will yield better outcomes. Data mining plays most significant role in area of investigation by means of the objective to finding essential data from massive amount of information. Currently, data mining strategies and tools are utilized by researchers in the field of healthcare, especially for prediction of sickness. Data mining methodology affords improvement approach to interchange huge data into beneficial information for attaining selection. In utilising data mining patterns they desires considerably fewer amount of funding intended for the forecasting the ailment alongside better accurate and precision. Moreover, analysis of study paper depicts the estimation of coronary illness in clinical field by utilizing data mining. Various popular data mining algorithm on the dataset of 13 attributes is applied to forecast the coronary ailment at initial stage. The dataset is collected from UCI machine learning repository and analysed with various parameters like Accuracy, Recall, Precision, F-measure, ROC area and Kappa statistics. Experimental results show that the Naïve bayes algorithm is always becomes the best-performing data mining method which accomplishes an accuracy of 86.716% in coronary illness prediction. 03 30 2020 1888 1894 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2674.039520 https://www.ijitee.org/portfolio-item/E2674039520/ Department of Computer Science and Engineering, Mar Athanasius College of Engineering, Kothamangalam, Kerala, India. Alina K. Jayarajan* Ajumol P. A. Department of Computer Science and Engineering, Mar Athanasius College of Engineering, Kothamangalam, Kerala, India. Ani Sunny Department of Computer Science and Engineering, Mar Athanasius College of Engineering, Kothamangalam, Kerala, India. Automatic Question Generation (AQG) has recently received growing focus in the processing of natural language (NLP). This attempts to create questions from a text paragraph, where certain sub-spans of the passage in question will answer the questions produced.. Traditional methods predominantly use rigid heuristic rules to turn a sentence into related questions. In this research, we suggest using the neural encoder-decoder model to produce substantive and complex questions from the sentences of natural language. We apply a attention-based sequence to sequence learning paradigm for the task and analyze the impact of encoding sentence vs. knowledge at paragraph level. Information retrieval and NLP are the core components of AQG. It incorporates the application of production rules; recurrent neural network (RNN) based encoder-decoder sequence to sequence (seq2seq) models, and other intelligent techniques. RNN is used because of its long short term memory power (LSTM).The proposed system focus on generating factual WH type questions. 03 30 2020 1799 1803 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2675.039520 https://www.ijitee.org/portfolio-item/E2675039520/ Associate Professor, Department of Computer Science, SDNBV College for Women, Chennai, Tamil Nadu, India. Dr. N. Priya* C. Radhika Asst. Professor, Department of Computer Science, SDNBV College for Women, Chennai, Tamil Nadu, India. Autism Spectrum disorder (ASD) is a neurobiological developmental disorder is symbolize by means of the impairment of social interaction, stereotypic behaviours, and communiqué lack. Early deduction of ASD will enhance the fine of lifestyles of the affected person. The objective of the paper is to focus on the application of various Machine Learning strategies applied for the autism dataset for diagnosing ASD. In this study, the effective pre-processing techniques One-hot encoding, Splitting and Scaling are used to standardize the dataset and the Principal Component Analysis (PCA) evaluator method is applied for the best feature selection. This technique is investigated with various Machine learning techniques like Random Forest, SVM, Logistic Regression, KNN, Naive Bayes. Comparatively, the effective Pre-Processing technique with Random Forest model shows the better accuracy of 92% in diagnosing ASD. When with other metrics such as accuracy, precision, recall, F1-score, ROC, error rate. 03 30 2020 2253 2257 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2676.039520 https://www.ijitee.org/portfolio-item/E2676039520/ Assistant Professor, Department Of Computer Science And Engineering, Sri Shakthi Institute Of Engineering And Technology, Coimbatore, TamilNadu, India Dr.K. Rajakumari Priyanka V PG-Scholar, Department Of Computer Science And Engineering, Sri Shakthi Institute Of Engineering And Technology, Coimbatore, TamilNadu, India The urban air pollution has an immediate effect on man health specifically in developing and mechanical countries. It can cause health issues such as cancer, cardiovascular diseases and high mortality rates. Continuous checking of contamination empowers the metropolitans to dissect the present traffic circumstance of the city and take their decision accordingly. Existing exploration has utilized diverse AI apparatuses for pollution forecast; notwithstanding, relative examination of these methods is regularly required to have a superior comprehension of their handling time for numerous datasets. In this work, we look at forecasting the air contamination by dealing with parameters of three different gases like SO2,NO2,O3.This process involves to pre-processing the times series. However, pre-processing involves a similarity measure, we explore the use of Dynamic Time Warping (DTW),LSTM,ARIMA Model for time series prediction, K-means, Support Vector Regression is then used to classify the spatio-temporal pollution data of different areas over a period of 10 years. 03 30 2020 1272 1279 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2690.039520 https://www.ijitee.org/portfolio-item/E2690039520/ Electronics and Communication Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India. V. R. Balaji Kani Mozhi. M Electronics and Communication Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India. Kani Mozhi. N Electronics and Communication Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India. Kuralarasi. R Electronics and Communication Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India. Kalieswari. S Electronics and Communication Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India. With the large spread of wrist worn smart devices in day-to-day lives, an extensive series of applications are enabled. Securing message conversation between these devices has become a challenging issue, considering the high security necessities and low computation abilities of these wrist worn devices. In this paper, we propose a secure wrist worn smart device coupling arrangement by manipulating the wave indication of the strategies generated by the handshake to barter a trustworthy key between users. To guarantee the safety of key negotiation, a hybrid secured algorithm is further developed. On Comparing with existing algorithms, the planned algorithm evades complicated fault alteration algorithms. In existing work the key generation is small in size so it is easy to detect by the intruder, in order to overcome this issue the RSA algorithm is combined with the AES algorithm, So that the size of the key is increased due to the combined algorithm and therefore robustness of the key is increased compared to the existing method. Investigational results are provided, which prove that the proposed handshake acceleration-based coupling arrangement is strong, safe, and effectual. 03 30 2020 1137 1143 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2691.039520 https://www.ijitee.org/portfolio-item/E2691039520/ Department of Information Technology & Engineering Vellore Institute of Technology (VIT) Tamil Nadu, India. Abdulhakim Salum Hassan I. Malaserene Department of Information Technology & Engineering Vellore Institute of Technology (VIT) Tamil Nadu, India. A. Anny Leema Department of Information Technology & Engineering Vellore Institute of Technology (VIT) Tamil Nadu, India. Diabetes is a metabolic disease affecting people in almost every country and it may lead to severe problems like stroke, kidney failure or premature death if it is not predicted at the early stage. To mitigate this many researchers are working to predict the diabetes at early stage using several methods. Different accessible conventional techniques are carried out to diagnose diabetes depend on physical and substance tests. Several d ata mining methods were designed to overcome these uncertainties. Classification techniques like Decis ion Tree, K Nearest Nei ghbors, and Support Vector Machines are used to classify the patients with diabetes mellitus. The performance of the se applied techniques are determined using the factors precision, a ccuracy, Sensitivity, and Specificity. The results obtained proved that SVM outperforms decision tree and KNN with highest accuracy of 90.23%. Performance analysis of these classification methods helps us to decide which appropriate technique to choose in future for analysing the given dataset 03 30 2020 2080 2084 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2692.039520 https://www.ijitee.org/portfolio-item/E2692039520/ Curtin University Bentley Campus in Perth, Western Australia Mark Mikhail *Dr. Mahdi Keramatikerman is with Arup Australia, Queensland, Australia. Dr. Amin Chegenizadeh Curtin University, Perth, Western Australia Sergei Terzaghi Geotechnical Lead with Arup America, Los Angeles, USA. Geoffrey Burns Geotechnical Lead with Arup Australia, Queensland, Australia. Professor Hamid Nikraz Curtin University, Perth, Western Australia Bagasse is one of the main by-products remaining from Sugarcane industry in tropical and subtropical regions. This by-product is used as a fuel in production of the sugar and a high amount of ash is remained due to this process. The remaining bagasse ash traditionally is used as a fertiliser, however recently it’s been used as a cost-effective additive in improvement of the mechanical characteristics of the soils by practitioners. This study investigates effect of addition of different percentages of bagasse ash on improvement of the compaction characteristics of the cemented kaolinite. The results showed that addition of bagasse ash increased the optimum moisture content of the soil (OMC) and reduced the maximum dry density (MDD). The recorded increase in OMC was attributed to the extra moisture that required to add for the hydration. Also, reduction in MDD was attributed to the weightless bagasse ash in compare with kaolinite clay. 03 30 2020 987 990 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2693.039520 https://www.ijitee.org/portfolio-item/E2693039520/ Physics and Chemical Technology Department, Termez branch of Tashkent State Technical University Kayumova Lobar* Juraev Olmos Architecture and Construction Department, Samarkand State Architectural Construction Institute The textile industry is one of the most water-intensive sectors of the economy. A large amount of water is consumed in the technological processes of washing, dyeing, printing and finishing fabrics. As a result of the implementation of these processes, wastewater of complex composition is formed, containing mainly dyes, surface-active substances (surfactants), mineral salts and other impurities. The discharge of effluents into water bodies without bringing their composition to the accepted sanitary standards is unacceptable. The cleaning methods that currently exist in the textile industry, such as adsorption, flotation, coagulation, zonation, etc., require large capital and operating costs and do not always provide the desired effect. Most of the methods practically do not allow preserving or trapping useful components from wastewater for reuse, therefore, recently both in Uzbekistan and abroad extensive research is being carried out and new physicochemical methods for treating wastewater are being developed, among which reverse osmosis occupies a special place and ultrafiltration. 03 30 2020 763 765 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2695.039520 https://www.ijitee.org/portfolio-item/E2695039520/ Department of Computer Science & Engineering, Sanjay Ghodawat University, Atigre Kolhapur, Maharashtra India Mr. Pradeep S. Khot* Prof. Dr. Udaykumar L. Naik Department of Electronics & Communication Engineering, KLE‟s Dr. M S Seshgiri College of Engineering, Belgavi Karnataka India In Wireless Sensor Network (WSN), CA to based mechanism is used to reduce various optimization problems (energy consumption, network life time, coverage, connectivity, security etc. with simple rules (algorithms). Due to this reason many researchers have concentrated on CA for improving the overall performance in WSN. Therefore, transmission of sensor data over wireless communication channel plays a crucial role using the cryptographic technique. The CA based crypto system is shows high quality of randomness of pattern. We can increase the quality of randomness by implementing the PCA(Programmable Cellular Automata).The sensor data must be encrypted by using Rule based symmetric key Encryption Algorithm(RSE). The proposed technique is based on the encryption algorithm & decryption algorithm by using dynamic cellular automata rules provides good security for sensor data in WSN. 03 30 2020 2216 2220 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2696.039520 https://www.ijitee.org/portfolio-item/E2696039520/ Smt.Chandaben Mohanbhai Patel Institute of Computer Applications, Charotar University of Sciecne and Technology, Changa,Ta-Petlad,Dist-Anand,Gujarat,India. Dr.Dharmendra Patel* Dr.Pranav Vyas Smt. Chandaben Mohanbhai Patel Institute of Computer Applications, Charotar University of Sciecne and Technology, Changa,Ta-Petlad,Dist-Anand,Gujarat,India. Automated Business Process Discovery is a rising field that depends vigorously on computer software. Software do the automatic analysis of the several documents such as audits and event logs and generate useful,novel,hidden and fascinating information from that. The information produce from the software recognize the process model as well as investigates varieties and gives clients a vastly improved picture of what a particular business process resembles, and how changes would influence the business in general. This paper presents the common framework activities of process mining in the context to all well known software. The paper also describes the open source process mining software with their operational characteristics. Finally, paper represents the role of process mining software for various famous industries. 03 30 2020 2413 2416 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2697.039520 https://www.ijitee.org/portfolio-item/E2697039520/ Associate Professor, Department of Applied Science and Humanities, IIMT College of Engineering , Greater Noida, India. Dr. Yogesh Kumar* Dr.Vishwa Nath Jha Associate Professor, Department of Mathematics, Prince Sattam Bin Abdulaziz University, Wadi Adawaser, Saudi Arabia. Artefacts removing (de-noising) from EEG signals has been an important aspect for medical practitioners for diagnosis of health issues related to brain. Several methods have been used in last few decades. Wavelet and total variation based de-noising have attracted the attention of engineers and scientists due to their de-noising efficiency. In this article, EEG signals have been de-noised using total variation based method and results obtained have been compared with the results obtained from the celebrated wavelet based methods . The performance of methods is measured using two parameters: signal-to-noise ratio and root mean square error. It has been observed that total variation based de-noising methods produce better results than the wavelet based methods. 03 30 2020 2357 2361 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2703.039520 https://www.ijitee.org/portfolio-item/E2703039520/ Ph.D, Professor, Department of Computer Science and Engineering , Sona College of Technology, Salem. *Dr. S. Sakthivel S. Hemalatha M.E Department of Computer Science and Engineering, Sona College of Technology, Salem. Network utilization has been widely utilized by means of greater wide variety of users and managing user request with its increasing demand for content material transport is an main task has been dealt with by using Information centric network (ICN) through network cache method. An efficient access manage mechanism is required to make use of community resource, content material dissemination and better delivery service. Cache primarily based records shipping is an environment friendly approach to handle improving users request however it reasons high computation overhead and surprising extend in statistics delivery. In our proposed work an environment friendly method to beautify the utilization of network, request dealing with and storage optimization has been bought via Secure and Efficient Resource Utilization Framework (SERUF) for ICN. Unauthorized consumer request has been validated and blocked in edge of the community itself and cache based totally statistics retrieval is applied with content de-duplication. To maintain our file in impervious way thru Enhanced Attribute based encryption (E-ABE) is used which lets in special file to save in server. Hence our strategy consists of storage utilization, secure information retrieval and handles user request in efficient way. 03 30 2020 1907 1910 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2705.039520 https://www.ijitee.org/portfolio-item/E2705039520/ Ph.D Scholar, North Odisha University, Odisha, India. Sipali Prdhan Dr. Jitendu Kumar Mantri Professor, Department of Computer Science, North Odisha University, Odisha, India. Dr. Sujogya Mishra Assistant Professor, Department of Mathematics and Computing, CET, Bhubaneswar, Odisha, India. Dr. Pradyumna Kumar Pattnaik Assistant Professor, Department of Mathematics and Computing, CET, Bhubaneswar, Odisha, India. Human contagious diseases are basically affected newly born baby. Millions of death occur due to these diseases of our intention to give a prediction of such diseases. Study report analysis the symptom of this diseases with minimum attributes by using Rough set Technique and to predict the contagious diseases are using Time series model. 03 30 2020 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2710.039520 https://www.ijitee.org/portfolio-item/E2710039520/ Assistant Professor, Department of Physics, Academy of Maritime Education and Training (AMET) – Deemed to be University, ECR, Chennai, Tamil Nadu, India. Dr. K. Anandan* Mr. S. Vinoth Sharma II M.Sc., Student and The New College, Chennai, Tamil Nadu, India. Mr. S.G. Mohammed Hussain Assistant Professor, PG and Research Department of Physics, The New College, Chennai, Tamil Nadu, India. Dr. V. Rajendran Head & Associate Professor, Department of Physics, Presidency College, Chennai, Tamil Nadu, India. By using different solvents the zinc oxide/copper oxide (ZnO/CuO) nanocomposites were synthesized via co-precipitation process. A Physico-chemical property of zinc oxide/copper oxide nanocomposites was identified by powder X-ray diffraction (XRD) and Photoluminescence (PL) techniques. The obtained results were demonstrated that the alcoholic mediated zinc oxide/copper oxide nanocomposites are exhibit smaller crystalline size and enhanced optical properties than that of aqueous mediated nanocomposites materials. From the results, it was confirmed that the synthesized samples would be promising metal oxide composites materials for opto-electronic device applications. 03 30 2020 1564 1566 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2716.039520 https://www.ijitee.org/portfolio-item/E2716039520/ research scholor, Electronics and communication engineering, Sri satya sai university of technology & medical sciences,Bhopal, India Karunakar Pothuganti* Dr. Jagadheesh Chandraprasad Matta Professor, Electronics and Communication Engineering, Sri Satya Sai University Of Technology & Medical Sciences, Bhopal, India. Dr. R. P Singh vice chancellor and Professor, Electronics and communication Engineering, and Sri satya sai university of technology & medical sciences,Bhopal,India. O. Ravi Kumar Professor, Electronics and Communication Engineering, Sri Satya Sai University Of Technology & Medical Sciences, Bhopal, India. A Vehicular Ad Hoc Network (VANET) is a built-up wireless association between autos, working of the network nearly looks like with the Mobile Ad Hoc Network (MANET). Its rapid portability change and eccentric development qualities are diverse for the MANET. Envision a circumstance in which a vehicle shares its guide data, for example, position, speed, heading, and so on likewise security message, for example, activity, dangerous, road condition and so on with other adjacent vehicles so close-by vehicle can know the status of movement, mishap data, road conditions and so forth. before coming to or confronting it. Along these lines, we can lessen road mishaps; diminish the holding up at activity signals, spare the life of individuals. We are started to outline and examination of the transmitter of a vehicle hub which imparts the in high unique environment and continuous network change circumstance. We dissected the normal parcel achievement proportion and throughput of VANET in Real Traffic environments for different routing protocols. Our proposed outline and examination demonstrated that transmitter is reasonable for vehicle to vehicle communication and performs better outcome in genuine rush hour gridlock conditions and high powerful environment. 03 30 2020 1105 1109 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2717.039520 https://www.ijitee.org/portfolio-item/E2717039520/ Mechanical Department, College of Engineering, Buraidah 51452, Qassim University, Saudi Arabia. Abdulaziz S. Alaboodi* Mohammad S. Alshitawi Mechanical Department, College of Engineering, Buraidah 51452, Qassim University, Saudi Arabia. Ayman F. Omar department, Plant Production and Protection Department, College of Agriculture, Buraidah 51452, Qassim University, Saudi Arabia. Abdulaziz B. Alharby Plant Production and Protection Department, College of Agriculture, Buraidah, Qassim University, Saudi Arabia. Exposure to outdoor and indoor air particles (also known as particulate matter or PM) has attracted the interest of the scientific researchers around the world, this is because of the adverse health effects that particles have on the human. Smaller fractions of particulate matter (repairable range, ≤10 μm) give the greatest health problem, because they have the ability to reach deeper parts of the human respiratory system. Many countries have paid attention to the air pollution and made regulations to improve their indoor and outdoor air quality, Saudi Arabia, particularly Qassim region, has not given much attention to the problem of air contaminants in the ambient and indoor environments. In addition, ambient environmental parameters will be recorded. The results obtained from the indoor and outdoor measurements will help us to evaluate the air quality in Buraydah city for different seasons in the indoor and outdoor environments. 03 30 2020 856 861 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2719.039520 https://www.ijitee.org/portfolio-item/E2719039520/ Research-Scholar, Bharath University, Chennai,TamilNadu, India. RR Karthikeyan* Dr. B. Raghu Principal, SVS Groups of Institution, Warangal, Telangana,India An IoT Edge system is to collect the sensor, set point and other device data with the help of micro controller and send those to IoT Hub via Edge Hub. The Building Management System (BMS) playing major role to control, communicate between various devices such as sensors, actuators with user interfaces, consumers and other technical devices. Commercial buildings like retail stores have two important systems called HVAC (Heating, Ventilating, and Air Conditioning) and refrigeration control. The proposed IoT Edge system collects the various device data via BAS and send it to IoT Hub. IoT Hub is a secure and two-way communication service system between the IoT Edge and the cloud platform where we can process telemetry data generated from sensor devices. IoT Edge helps to a computing near datasource. IoT Edge agent monitor and control all the modules running on it. With high speed internet connection users can access information and computational resources from anywhere in the world. Cloud platform can supply a range of Virtual machines with shared resources with big power and storage using inexpensive disks, which are much necessary for enterprise applications with Big Data. Disks. 03 30 2020 1615 1619 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2722.039520 https://www.ijitee.org/portfolio-item/E2722039520/ Assistant Professor, Electronics and Instrumentation Engineering, Kongu Engineering, Erode India. M. Sasireka S. Santhiya Electronics and Instrumentation Engineering, Kongu Engineering, Erode India. A. Santhosh Kumar Electronics and Instrumentation Engineering, Kongu Engineering, Erode India. R. Meganathan Electronics and Instrumentation Engineering, Kongu Engineering, Erode India. V. Monika Electronics and Instrumentation Engineering, Kongu Engineering, Erode India. Excess usage of water than it is actually needed and water theft are the major issues leading to water scarcity nowadays. Some people draw more water by using motor pump. Whenever they use motor pump, or they open the valve to the maximum, the flow rate will be increased. Hence in the proposed system, measurement of flow rate plays a vital role. Water monitoring and theft prevention system are employed which records the flow rate and thereby providing notification about the theft and excess usage of water. In the proposed system, each consumer end is provided with a water flow monitoring system which consists of a flow sensor to measure the flow rate and an arduino controller for recording the flow rate. The flow rate value will be sent to the water distribution station using GSM. The flow rate is fixed by the central water distribution station, so that each consumer end will be receiving an equal quantity of water. Solenoid valve is attached in the Pipeline so that the flow rate can be varied by adjusting the valve position. The valve position, time of supply and the flow rate will be controlled by the central water distribution system. The GSM MODEM is initiated by the ON/OFF switch which is controlled by the arduino. 03 30 2020 2327 2330 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2724.039520 https://www.ijitee.org/portfolio-item/E2724039520/ Assistant Professor, Vignana Bharati Engineering College, Hyderabad, Telangana, India. A. Raj Kumar J. Y. V. Shiva Bhushan* Assistant Professor, Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering &Technology Hyderabad, Telangana, India. Recycled concrete aggregate (RCA) is one of the major material generated from municipal soild waste industry. In the current study, recycled concrete aggregates are collected from the demolished building. The index and engineering properties of crushed concrete and locally available soil are determined. The study aims at effective reuse of demolition concrete waste as backfill of earth retaining walls. RCA passing through 4.75mm is stabilized by using Cement kiln dust (CKD) and Fly Ash (FA) in various proportions. Red soil is partially replaced by 30%, 50%, and 70% with recycled concrete fine aggregates. A numerical model is developed using limit equilibrium software i.e GeoStudio Slope/w. It is found that 15% CKD and 15% FA is optimum to stabilize the material. In case of blended soils, 30% replacement with RC-FA is found to be optimum 03 30 2020 991 994 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2730.039520 https://www.ijitee.org/portfolio-item/E2730039520/ Research Scholar, Siddartha Academy of Higher Education, Tumkur, India Vidya K* Dr. Kurian M Z Register, Siddartha Academy of Higher Education, Tumkur, India Usage of machine learning has been always proven potential in identifying the best solution from the set of complex variables with the highly inter-twined relationship of problems. Similarly, supervised learning approach is one essential operation under machine learning that has always contributed in the area of healthcare and diagnostics. However, there are still some problems associated with the detection and classification of complex disease condition that is yet to be solved. The proposed system introduces a novel supervised learning approach along with a novel feature extraction scheme which is more progressive and less iterative. The proposed system considers a case study to perform classification of breast cancer using Magnetic Resonance Imaging (MRI) where it is subjected to normalization first followed by a novel segmentation process that compliments the classification operation too. The study outcome shows that the proposed system offers better classification performance in contrast to existing supervised approaches. 03 30 2020 1144 1151 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2731.039520 https://www.ijitee.org/portfolio-item/E2731039520/ Faculty of Computing Technology, Aksum Institute of Technology, Aksum, Ethiopia. Zinabu Haile Abirha* Eyerusalem Dagnew Gebru Faculty of Computing Technology, Aksum Institute of Technology, Aksum, Ethiopia. As the unfold boom of Internet get entry to the need for multimedia specifically digital images are widely applicable in various areas such as military, medical, science, education, advertising, entertainment and many others. As human beings around the world exchange these digital images assuring the privacy and reliability of images has turn out to be a principal concern. Thus ciphering the image comes into account. The relationship between the pixel values of neighboring pixels of a plain digital image is strong. The proposed cryptosystem breaks the relationship of neighboring pixel values by altering its position with the use of Arnold cat map equation. Then the shuffled image is diffused using a symmetric keys to yield an encrypted image. The experimental result shows that our cryptosystem effectively cipher/decipher the digital image with external secret key. The experimental result of the proposed cryptosystem was done using MATLAB R2018a and shows it is capable of producing an encrypted image with extremely low relationship coefficients of neighboring pixels. We also found that it is very sensitive to any input key and parameters change. Consequently the proposed cryptosystem has strong encryption quality and invulnerable way for a colored image. Considering the security necessities, this work can have a focus in securing medical end results, country wide secrets and plenty of others which are exchanged over the Internet. 03 30 2020 2265 2268 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2733.039520 https://www.ijitee.org/portfolio-item/E2733039520/ Associate Professor, Dept. of ECE, CMR Engineering College, Kandlakoya, Telangana, India B Siva Kumar Reddy* K Subramanya Chari Assistant Professor, Dept. of ECE, CMR Engineering College, Kandlakoya, Telangana, India Driven by the increasing interest from the research community, this paper presents the current role of software defined radio (SDR) in academic and commercial applications which is helpful for the researchers, professors as well as students working in the area of signal processing and wireless communication. The authors mainly focus on universal software radio peripheral (USRP) N210 which is employed as hardware and GNU Radio as software to implement SDR for various applications that help the researchers to test and analyze various proposed techniques for different systems. Furthermore, this paper presents the implementation of basic analog/digital modulation techniques, and recent research works carried out by using SDR. This paper also presents several limitations and current usage of SDR in commercial and academic applications. 03 30 2020 1804 1809 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2736.039520 https://www.ijitee.org/portfolio-item/E2736039520/ Assistant Professor, Dept. of Mechanical Engineering, Centurion University of Technology and Management, Bhubaneswar, Odisha, India. Rashmi Ranjan Panda* Chiranjibi Mohanty Assistant Professor, Dept. of Mechanical Engineering, Centurion University of Technology and Management, Bhubaneswar, Odisha, India. Kailash Kumar Sahu Lecturer, Dept. of Mechanical Engineering, Centurion University of Technology and Management, Bhubaneswar, Odisha, India. Pravata Kumar Sahoo M.Tech Scholar, Dept. of Mechanical Engineering, Centurion University of Technology and Management, Bhubaneswar, Odisha, India. In this experimental work , we investigated optimization of process parameters in EDM using Taguchi method by taking Low carbon steel as work piece. Process parameters chosen were Pulse on-time (Ton), Flushing pressure(P) and Pulse Current(IP) . Here we have chosen L9 orthogonal array to study the effect of main factors and interaction between factors on the response variable i.e. Surface Roughness (SR), Material removal Rate (MRR) and Tool Wear Rate (TWR). The contribution of the main factors and interaction were determine here. The MR), TWR and surface integrity are some of the important performance attributes of EDM process. The objective of EDM is to get high MRR along with achieving reasonably good surface quality of machined component with reduced tool wear rate for Low carbon steel material. 03 30 2020 862 866 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2738.039520 https://www.ijitee.org/portfolio-item/E2738039520/ Dept. of Mechanical Engineering, NITTTR Chandigarh, India. Munish Kumar* Dr. S. S. Banwait Professor and Dean (R&D), Dept. of Mechanical Engineering, NITTTR Chandigarh, India. In the present work, FDM technique has been used over the traditional plaster moulding technique. ABS polymer was used in the fabrication of the AFO. The main focus has been done on finding an easy method to fabricate AFO. A healthy subject of 24 years of age was taken and his lower limb was scanned. Custom AFO 's are traditionally manufactured using plaster moulding that requires multiple patient visits and extensive labour and production time. Fused deposition modelling (FDM) technique has been used in the present work to produce the AFO, which helps with custom fitting, reduces costs, has good strength bearing properties and requires fewer patient visits. Analysis of the parameters and their impact on the time and cost of production of AFO was conducted. A layer height of 0.2mm was used with an infill density of 25% and with a speed of 50mm/sec of nozzle was used. The cost of the AFO using ABS came out to be 271.625 Indian rupees which is way less than 600-100 Indian Rupess used in traditional plaster moulding technique. 03 30 2020 983 986 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2739.039520 https://www.ijitee.org/portfolio-item/E2739039520/ PhD degree, Power Quality,Anna University, Chennai, India N. Senthilnathan* S. Gomathy Assistant Professor in the Department of Electrical and Electronics Engineering, Kongu Engineering College, Tamil Nadu, India. S.S. Rahul Bachelor of Engineering degree in the stream of Electrical and Electronics Engineering in Kongu Engineering College, Erode, Tamil Nadu M. Ramkumar Bachelor of Engineering degree in the stream of Electrical and Electronics Engineering in Kongu Engineering College, Erode, Tamil Nadu R. Ramkumar Bachelor of Engineering degree in the stream of Electrical and Electronics Engineering in Kongu Engineering College, Erode, Tamil Nadu P. Shankar PhD degree, Power Quality,Anna University, Chennai, India P. Shankar Bachelor of Engineering degree in the stream of Electrical and Electronics Engineering in Kongu Engineering College, Erode, Tamil Nadu The main epigram of this paper is to overcome the labour shortage and to reduce time and money. Mainly cultivation of sugarcane involves three process - cutting of sugarcane into reliably smaller pieces, ploughing the field for sowing the sugarcane and sowing them in the sand. This paper proposes a piece of equipment which can perform the above mentioned three works simultaneously. In this paper, we come up with the use of pneumatic pistons for cutting the sugarcane, which is also attached to the equipment/planter. The planter consists of a plough setup and addition plough control at the back to cover the cane with sand after it is sowed in the sand. 03 30 2020 1810 1812 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2742.039520 https://www.ijitee.org/portfolio-item/E2742039520/ Department of Mathematics, Noorul Islam Centre For Higher Education Kumaracoil, TamilNadu, India. K. Uma Samundesvari* J. Maria Regila Baby Department of Mathematics, Noorul Islam Centre For Higher Education Kumaracoil, TamilNadu, India. A total dominating set 𝑫 is said to be a complete cototal dominating set if the 〈𝑽−𝑫〉 has no isolated nodes. The complete cototal domination number 𝜸𝒄𝒄(𝑮) is the minimum cardinality of a complete cototal dominating set of 𝑮. Our aim is to determine the Complete Cototal Domination Number of Middle Graphs and its bounds. 03 30 2020 2085 2087 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2744.039520 https://www.ijitee.org/portfolio-item/E2744039520/ Computer Science,SRM institute of science and technology, Chennai, India. Abhishek Mahajan* Sourabh Pisipati Computer Science,SRM institute of science and technology, Chennai, India. P. Madhavan Computer Science,SRM institute of science and technology, Chennai, India. The decentralization of many processes has the potential to help many service-based industries to scale up the operations in magnitude and efficiency horizontally, as well as to reduce exponential overhead costs of operation set-up in a new location though e-commerce. This is achieved through the backbone of connecting different operational units through the internet, more specifically through the cloud. The technologies like cloud computing, block chain, native applications for mobiles, and web applications as well, enable a decentralized yet synchronized environment, which is sustainable with a larger ceiling of overburden on the sector. The e-commerce will use web application, android as well as iOS applications, cloud computing as well as security through block chain techniques. It also makes it easier to adjust according to the customer feedback using collaborative filtering as well as adjusting for errors in remote operational units. For the purpose of understanding, we will take the example of a decentralized, cross city e-commerce laundry service in this paper. 03 30 2020 187 189 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2748.039520 https://www.ijitee.org/portfolio-item/E2748039520/ Research Scholar, PG and Research Department of Computer Science, Rajah Serfoji Government College, Thanjavur, Affiliated to Bharathidasan University, Trichirappalli, Tamil Nadu, India. K. Makesh Babu* Dr. K. Mohan Kumar Head, PG and Research Department of Computer Science, Rajah Serfoji Government College, Thanjavur, Affiliated to Bharathidasan University, Trichirappalli, Tamil Nadu, India. Data quality is important to all private and government organization. Data quality issues can arise in different ways. Due to inconsistent, inaccurate unreliable and loss of data in e-governance, retrieving of accurate data will become a big trouble in decision making. There are some common data quality issues available in a big data. Those issues and causes are cleared by using data profiling. The process of Data profiling methods detects errors, inconsistencies and redundancies in a dataset. Data profiling has different types of analysis techniques to correct the data such as Single Column analysis, Multicolumn analysis, Multi table and Data dependencies. Single column analysis has different set of analysis. In that Pattern matching technique is used to overcome this challenge of inconsistent data along with much needed data quality for analytic results within bounded execution time. Generally pattern matching is performed manually in an organization. Pattern matching helps to discover the various pattern values within the data and validate the values against any organizations. This data pattern profiling method enables to create a valid data set which is used to generate report for future analysis of an organization with more accuracy. This study compares the results of the proposed data pattern logic with other open source tools and proves the efficiency of proposed logic. 03 30 2020 867 871 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2749.039520 https://www.ijitee.org/portfolio-item/E2749039520/ Assistant Professor, Dept. of Compter Science, Karnatak Science College, Dharwad, Karnataka, India Lalitha R Naik* Cosmetics and classification findings are the most difficult and powerful task of preparing. MRI (Magnetic Resonance Imaging) is a treatment, which is often used by the radio translator to represent the appearance of a person with no surgery. MRI provides much information on the human body's body, which helps to control the brain's brain. MRI is used for research on high resolution, speed of availability, and high profile profile for patients [19]. The deep part of the MRI shape is primarily responsible for the termination of the brain's brain from the computer that supports medical devices. This book focuses on planning the best way and the best way to diagnose MRI's brain detection if it supports brain arrest if its focus is on surveillance its vision is: benign or operated by using the SVM configuration process. The method we recommend is to create a configuration using the history and management of the process that will create a split by using a test feature (PSO), extracting compression using GLCM, reducing PCA features, to reduce the feature is also used by ICA (Self-Exam) to provide free access for the GLCM and for SVM format. The result is MATLAB2015. 03 30 2020 1152 1159 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2750.039520 https://www.ijitee.org/portfolio-item/E2750039520/ Post graduate student in the field of mechanical engineering at Methodist College of Engineering and Technology, Hyderabad, India. Mohd Abdul Rahman* Dr.P.Ravi Chander Assistant Professor, Department of mechanical engineering, Methodist college of engineering and technology, Hyderabad, India. M. Prasad Assistant Professor, Department of mechanical engineering, Methodist college of engineering and technology, Hyderabad, India Piston is the essential part of an IC engine and due to increase in manufacturing of automobiles of various types based on performance and power, the piston of an IC engine is under significant stress which causes wear of the piston. Piston is under mechanical and thermal loads due to combustion of the fuel and generation of high pressure gases. To reduce the damage incurred on an IC piston by the combustion of fuel the crown geometry of the piston can be modified. This reduces the wear incurred on an IC engine piston and increases the life of the IC engine piston. To understand the impact of mechanical loads on the piston static structural analysis has to be performed and to understand the impact of thermal loads, thermal analysis has to be performed. In this paper we have modeled three dimensional pistons with four different crown geometries using CATIA and performed static structural and thermal analysis in ANSYS to find total deformation, equivalent (von-misses) stress, maximum shear stress, temperature and heat flux. So we can find the best crown geometry for the manufacturing of IC engine piston. 03 30 2020 1004 1012 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2751.039520 https://www.ijitee.org/portfolio-item/E2751039520/ Department of CSE, MGIT, JNTUH, Hyderabad, India. J. Sree Devi* Dr M Rama Bai Department of CSE, MGIT, JNTUH, Hyderabad, India. Chandrashekar Reddy Department of CSE, MGIT, JNTUH, Hyderabad, India. Newspaper articles offer us insights on several news. They can be one of many categories like sports, politics, Science and Technology etc. Text classification is a need of the day as large uncategorized data is the problem everywhere. Through this study, We intend to compare several algorithms along with data preprocessing approaches to classify the newspaper articles into their respective categories. Convolutional Neural Networks(CNN) is a deep learning approach which is currently a strong competitor to other classification algorithms like SVM, Naive Bayes and KNN. We hence intend to implement Convolutional Neural Networks - a deep learning approach to classify our newspaper articles, develop an understanding of all the algorithms implemented and compare their results. We also attempt to compare the training time, prediction time and accuracies of all the algorithms. 03 30 2020 872 877 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2753.039520 https://www.ijitee.org/portfolio-item/E2753039520/ Department of Electronics and Instrumentation Engineering, Kongu Engineering College, Perundurai Dr.S. Vijayachitra* Hariprasanna. E Department of Electronics and Instrumentation Engineering, Kongu Engineering College, Perundurai Haripriya. S Department of Electronics and Instrumentation Engineering, Kongu Engineering College, Perundurai Kavin.V. S Department of Electronics and Instrumentation Engineering, Kongu Engineering College, Perundurai Mohan Ranjith.P Department of Electronics and Instrumentation Engineering, Kongu Engineering College, Perundurai Fruit quality is an important parameter in the food processing industries. It is necessary to analyze internal and external characteristics of the fruit sample. Standardizing the quality of fruit in Agro industries is essential. There is a need of standardizing equipment of affordable price because it involves huge man power. In this project, quality of the fruit is analyzed based on the capacitor concept in which the fruit will act as a dielectric medium between two parallel plates. The obtained output voltage is proportional to the condition of the fruit sample. The color variation in the outer layer of the sample is also determined using the image processing techniques. To find the quality, it is also that considered volume and weight as important parameters. All these three data are combined together in order to give the desired results at an affordable price. This product will also reduce the labor cost and the losses possibly occurred due to the destructive analysis and so on. 03 30 2020 1567 1570 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2756.039520 https://www.ijitee.org/portfolio-item/E2756039520/ School of Mechanical Engineering, KIIT University, Bhubaneswar, India. Ajay Kumar Sahu* Dr. Prakash Ghose* School of Mechanical Engineering, KIIT University, Bubaneswar, India. Cold flow through an axi-symmetric dump diffuser, provided with a swirl effect at inlet is studied by using various two equation k-ε turbulent models such as; standard k-ε, RNG k- ε and Realizable k-ε model. There is a liner with a liner dome head of hemispherical in shape is used as a bluff body. From the comparison in between the three k-e turbulent models, it has been observed that the overall prediction of flow variables with Realizable k-e model are much better than others. The effects of dump gap and inlet swirl on velocity distribution and pressure variation on liner and casing walls have been investigated. The static pressure recovery within the diffuser is evaluated from area weighted average pressure at inlet and exit plane. It is noticed that an optimum inlet swirl results in the most effective pressure recovery due to the minimum irrecoverable energy dissipation in the vortices formed in the domain. The optimum swirl number is found to be 0.38 and it occurs when DG (non-dimensional dump gap) is kept as 1.0. The variation in dump gap changes the flow pattern and the possible pressure recovery. As the dump gap is increased, the static pressure is recovered more effectively with moderate swirl level in the inlet flow. 03 30 2020 1214 1223 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2758.039520 https://www.ijitee.org/portfolio-item/E2758039520/ Department of Computer Science and Engineering Delhi Technological University, New Delhi, India. Sanjay Kumar* Vipul Gupta Department of Computer Science and Engineering, Delhi Technological University, New Delhi, India. Sudhanshu Shekhar Singh Department of Computer Science and Engineering, Delhi Technological University. Networks have proved to be very helpful in modelling complex systems with interacting components. There are various problems across various domains where the systems can be modelled in the form of a network with links between interacting components. The Problem of Link Prediction deals with predicting missing links in a given network. The application of link prediction ranges across various disciplines including biological networks, transportation networks, social networks, telecommunication networks, etc. In this paper, we use node embedding methods to encode the nodes into low dimensional embeddings and predict links based on the edge embeddings computed by taking the hadamard product of the participating nodes. We further compare the accuracy of the models trained on different dimensions of embeddings. We also study how the introduction of additional features changes the accuracy when introduced to various dimensions of node embeddings. The additional features include overlapping measures such as Jaccard similarity, Adamic-Adar score and dot product between node embeddings as well as heuristic features i.e. Common Neighbors, Resource Allocation, preferential attachment and friend tns score. 03 30 2020 1690 1696 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2762.039520 https://www.ijitee.org/portfolio-item/E2762039520/ Research Center, Military Institute of Taras Shevchenko National University of Kyiv, Kyiv, Ukraine. N. Lytvynenko* S. Lienkov Research Center, Military Institute of Taras Shevchenko National University of Kyiv, Kyiv, Ukraine. O. Lytvynenko Research Center, Military Institute of Taras Shevchenko National University of Kyiv, Kyiv, Ukraine. O. Banzak Head of Department Electronics and Microsystem Technology Odesa State Academy of Technical Regulation and Quality, Odesa, Ukraine. H. Banzak associate professor of Department Metrology and Metrological Support Odesa State Academy of Technical Regulation and Quality. The article studies unstructured text from the informational web resources as a source of obtaining of geospatial data about current events in real time. Authors propose a scheme of construction of the geoinformation technology for monitoring events through the data of the unstructured web resource text, that will allow to collect and visualize geospatial and descriptive information about events on specific topics automatically and in real time. Key elements of the proposed methodology are geoparsing of unstructured text, geocoding of detected coordinates or addresses, and storing of results in the geodatabase. Proposed technology allows to create a web application for automatic identification and monitoring of events (objects) by parameters of their category, location and time. For the purposes of developing this system, authors proposed to use free software (except for ArcGIS Pro). This factor can be attributed to the advantages of the proposed technology. 03 30 2020 1160 1165 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2764.039520 https://www.ijitee.org/portfolio-item/E2764039520/ Computer Science Department, Christ (Deemed to be University), Bangalore, India. Vishal Jain* Vaidhehi V. Computer Science Department, Christ (Deemed to be University), Bangalore, India. Agriculture is the backbone of India. In order to support farmers in India, this research is focused on the design of various predictive models that are used to predict the yield value for a specific crop in Indian states. This research work considers Rice, Wheat, and Bajra crops in Tamil-Nadu, Rajasthan, Uttar Pradesh states respectively. The various regression models such as Linear, Multiple, C4.5 and Random Forest are considered in this work. R squared value is used to evaluate the performance of the regression models. The result of this work shows that Random Forest model is better in performance. 03 30 2020 1280 1284 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2766.039520 https://www.ijitee.org/portfolio-item/E2766039520/ Department of Physics, Arignar Anna Government Arts College, Namakkal-India. K. Vikramprasad* N. Sethupathi Department of Physics, Arignar Anna Government Arts College, Namakkal-India. P. Maadeswaran Department of Energy Studies, Periyar University, Salem, India. P. Mahalingam Department of Chemistry, Arignar Anna Government Arts College, Namakkal-India. The bin model solar instant water heater has been designed, fabricated and its performance has been evaluated in the Namakkal climatic conditions. Solar water heater is a required one, but it is expensive for rural people. In that case; the bin model solar instant water heater is a modern, simple and low cost system. This bin model solar instant water heater is fabricated without high cost components and the setup does not need the storage tank. This article presents and encompasses the technological developments of our setup. The performance and efficiency of bin model solar instant water heater is determined when using copper is an absorber part. The bin model solar instant water heater’s performance, efficiency, copper plate temperature, loss ratio, mass flow was calculated and presented. This bin model solar instant water heater is ecofriendly, it used for both domestic and industrial sectors. 03 30 2020 1166 1171 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2767.039520 https://www.ijitee.org/portfolio-item/E2767039520/ Ph.D., Scholar, Department of Mechanical Engineering, SSSUTMS, Sehore, (M.P.) India Santosh Haribhau Pawar* Dr. G. R. Selokar Professor, SSSUTMS, Sehore, (M.P.) India. In this paper we have represented new method of optimization of the robot structure for various reverted operation In today’s age the rapid development in robotics is been noticed, robots are developed for multipurpose operations in industrial field. The high inertia load are created due to emergency operation, the gradually applied and suddenly applied loads are developed, the structure should withstand this type of loads Furthermore, the robot has a certain frequency of operation, & the structure frequency needs to be higher than that of robot, to avoid failure due to resonance. The structure has a complex web of members hence finite element analysis is needed to perform analysis. The new structure, the robot is mounted in an inverted manner on the ceiling, this adds to the complexity of the analysis. The proposed method is compared with state of art systems. 03 30 2020 2293 2298 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2775.039520 https://www.ijitee.org/portfolio-item/E2775039520/ Post graduate student at Department of mechanical engineering, Methodist College of Engineering and Technology, Hyderabad, India. Karakkayala Rohit* Dr. P. Ravi Chander Assistant Professor, Department of mechanical engineering, Methodist College of engineering and technology, Hyderabad, India. Y. Madhu Maheswara Reddy Assistant Professor, Department of mechanical engineering, Methodist College of engineering and technology, Hyderabad, India An automobile radiator is a component of an automotive cooling system which plays a major role in transferring the heat from the engine parts to the environment through its complex working system. Heat losses through the radiator and the tailpipe add up to 58 to 62 percent of the total losses. Insufficient heat dissipation can result in the overheating of the engine, which leads to the breakdown of the lubricating oil, corrosion and metal weakening of engine parts, and significant wear between engine parts. To minimize the stress on the engine as a result of heat generation, automotive radiators must be designed to be more effective while still maintaining high level of heat transfer within components. This leads to the increased demand of power packed radiators, which can dissipate maximum amount of heat for any given space. In this paper we have designed and analyzed the performance of radiators by comparing linear tube radiator and two helical tube radiators as coolant inside radiator follows triple pass flow pattern. The modeling is done using CATIA. The fluid flow analysis is done with ANSYS FLUENT. 03 30 2020 1172 1178 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2780.039520 https://www.ijitee.org/portfolio-item/E2780039520/ Student, Department of Computer science and Engineering, Vellore Institute of Technology, Vellore, India. Shashwat Kumar Dev Kohinoor Jain Student, Department of Computer science and Engineering, Vellore Institute of Technology, Vellore, India. Vyshakh Sreekumar Student, Department of Computer science and Engineering, Vellore Institute of Technology, Vellore, India. Nikhil Bhardwaj Student, Department of Computer science and Engineering, Vellore Institute of Technology, Vellore, India. Prof. Manikandan K. Associate Professor, Department of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India. With increase in the data transmission and data exchange in daily life, along with the increasing data thefts and other adversary snooping, the security and privacy of data has become an important thing to be concerned about. Throughout the years many different approach, ideas, algorithms and protocols have been developed to protect the data from snoopers and adversaries and ensure secure communication. Every approach has its own pros and cons. This project is an attempt to combine two different approaches of data protection- (Steganography and Cryptography) to develop a powerful and secured method for data exchange. 03 30 2020 2299 2304 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2786.039520 https://www.ijitee.org/portfolio-item/E2786039520/ civil department, Ujjain Engineering college ujjain, Madhyapradesh, India. Priya Dhillon* Raghvendra Singh civil department, Ujjain Engineering college Ujjain, Madhyapradesh, India. Present days there are a lot of interest for power in the private and open parts in India has been expanded and to full fill, the interest of power a few activities is being taken by the legislature of India. From the source power to the customer the transmission tower is utilized as a transport framework. Right now, endeavor has been made to investigation a 36 m high transmission tower 3D model with the assistance of STAAD Pro (V8i) programming utilizing the codal arrangements of IS 800:2007 and furthermore the manual count of every part are determined for the examination as per codal arrangements.As per IS 875 (part III) code, the wind zone 3 height 36 m, landscape classification 2 and fundamental wind speed 39 m/sec are considered for the analysis. The damping ratio is 0.05 is also considered in the analysis. The results are concluded in terms of stability against wind force, structural, statically stable of all steel components. 03 30 2020 1285 1289 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2787.039520 https://www.ijitee.org/portfolio-item/E2787039520/ Associate Professor, In charge- HoD, Audisankara College of engineering & Technology (Autonomous) Gudur. Dr. A. M.Mahaboob Basha Mrs. J. Srivani Associate Professor in Audisankara College of engineering & Technology (Autonomous), Gudur. Mr. B. Ankaiah Research Scholar, Yogi Vemana University. Mr. U. Dadakalandar Research Scholar, Diorama Simhapuri University, Nellore. Mr. T. Srinivaslulu Associate Professor, in Audisankara College of Engineering & technology(Autonomous). The purpose of empirical research study to know the impact of various HRD practices and its impact on predictor (job satisfaction). The structured survey research instrument was used to gather the data from 500 sample respondents. The questionnaire was validated with pilot study and data was with crone Bach’s alpha reliability test. The results of the outcome validated with R-Machine Learning Algorithm, multiple linear regression analysis with the help of train data and test data (30:70) ratio. Furthermore results reveals corrgram plot, matrix correlation plot and validation of data with validation match test among various HRD practices and it’s inter relationship. The analysis supported with various reviews which include both western and Indian reviews. The study can be generalized to any sector wherever HRD practices can be implemented. The study feasible/applicable to social implications and employee concern problems and related productivity. The study provides new insights to the readers and analysis which was not published by any other in the relevant topic related machine learning algorithm in analytics world. 03 30 2020 1179 1183 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2789.039520 https://www.ijitee.org/portfolio-item/E2789039520/ P.G Student, Department of Computer Science and I.T Amrita School of Arts and Sciences, Kochi, Amrita Vishwa Vidyapeetham, India Rachith Raj Ajay Krishnan* P.G Student, Department of Computer Science and I.T Amrita School of Arts and Sciences, Kochi, Amrita Vishwa Vidyapeetham, India C.V. Prasanna Kumar Assistant Professor , Department of Computer Science and I.T, Amrita School of Arts and Sciences, Kochi Ever since the humans found the significance of data we are using different methodologies to extricate data patterns in the most useful way to reach at various conclusions based on our needs. The proper utilization of data will leads to meaning full results. Here our focus is to expand the concept of "High utility itemset mining" and also introducing the concept of "timestamp" on it. Here we proposed an effective algorithm to find the best possible data patterns that generate maximum profit within the given "time period" and also proposed a new framework to calculate the "utility support”. Our analysis can be utilized to improve profitability in business and also make better decisions for improving sales in the organization. 03 30 2020 1607 1609 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2791.039520 https://www.ijitee.org/portfolio-item/E2791039520/ Vinayaka Mission’s Kirupananda Variyar Engineering College, Salem, Tamil Nadu, India. Mr. Sanjay Singh* Dr. M. Prabhahar Professor in Aarupadai Veedu Institute of Technology, Chennai, Tamil Nadu, India Continuous emissions of green house gases like carbon dioxide by industries and automobiles in atmosphere is increasing day by day and if not checked and regulated may bring disasters to human life. The existence and continuation of human life will be at risk. All technocrats, engineers and environmentalists have to work together for designing engineering systems and especially automobiles for combustion of fuels especially biodiesel which reduces emission of green house gases. Also there is a requirement of biodiesels to be renewable and obtained from biomass. The methyl ester produced from algae is used as a source of energy and is tested for its suitability in a variable compression ratio diesel engine (VCR). Blend B20 is added with 10% diethyl ether and tested for its combustion and emission characteristics with 200 micron zirconia coated piston. Improvement in performance is observed in comparison to the characteristics obtained with only coated piston and without additive. 03 30 2020 1184 1192 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2792.039520 https://www.ijitee.org/portfolio-item/E2792039520/ Statistics, Annamalai University, Tamil Nadu, India. Rashid A. Ganaie* V. Rajagopalan Statistics, Annamalai University, Tamil Nadu, India. we introduce length biased technique for weighted quasi gamma to change the known distribution into new model called as the length biased weighted quasi gamma distribution. Lastly the newly developed model has been investigated with an application. 03 30 2020 1110 1117 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2793.039520 https://www.ijitee.org/portfolio-item/E2793039520/ Research Scholar, Department of Computer Science and Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, School of Engineering, Coimbatore, India. P. Shree Nandhini* Dr. P. Amudha Associate Professor, Department of Computer Science and Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, School of Engineering, Coimbatore, India. Dr. S. Sivakumari Professor and Head, Department of Computer Science and Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, School of Engineering, Coimbatore, India Due to the critical impacts of air pollution, prediction and monitoring of air quality in urban areas are essential tasks. However, because of the dynamic nature and high Spatio-temporal variability, the prediction of the air pollutant concentrations is a complex Spatio-temporal problem. The data is collected in specific area such as climate condition and vehicular pollutant occurring in the peak hours. the predication process is used to compare the algorithm artificial neural network and support vector machine process. This paper presents a survey on Air quality prediction using artificial intelligence 03 30 2020 1417 1421 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2795.039520 https://www.ijitee.org/portfolio-item/E2795039520/