-74813b3e17f460286df-6a6c 20220321081350551 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 Doctor of Technical Sciences, Professor, Tashkent State Technical University named after I. Karimov, Republic of Uzbekistan Akhmetov Adilbek Agabekovich* Akhmedov Sherzodbek Anvarhon ogli doc Phil. (PhD), General Director of Design and Technology Center for Agricultural Machinary, LLC, Republic of Uzbekistan Botirov Ravshan Mahkam ogli doctoral student, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Republic of Uzbekistan Kambarova Dilfuza Usmonaliyevna Assistant, Tashkent State Technical University I. Karimova, Republic of Uzbekistan An increase in the power of wheeled tractors led to an increase in their mass and the mass of machine tools aggregated with them, which led to negative anthropogenic impacts on the soil, especially of tractors with a wheel formula of 3K2. Experiments have shown that the pressure created by the front wheel on the root layer on the soil of the TTZ-811 tractor with the 3K2 wheel formula is on average 4.5-9.5 % higher than that of the TTZ-1033 tractor with the 4K2 wheel formula. Reducing the sealing effect of the front wheels on the soil is possible by replacing the tractor with the wheel formula 3K2 with a tractor with the wheel formula 4K2, as well as by reducing the air pressure in the tire. 03 30 2020 316 319 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2302.039520 https://www.ijitee.org/portfolio-item/E2302039520/ Department of Computer Science & Engineering, GSSS Institute of Engineering & Technology for Women, Mysuru, India. Madhu M. Nayak* Sumithra Devi K. A. Department of ISE, Dayananda Sagar Academy of Technology & Management, Bengaluru, India. Big data is large-scale data collected for knowledge discovery, it has been widely used in various applications. Big data often has image data from the various applications and requires effective technique to process data. In this paper, survey has been done in the big image data researches to analysis the effective performance of the methods. Deep learning techniques provides the effective performance compared to other methods included wavelet based methods. The deep learning techniques has the problem of requiring more computational time, and this can be overcome by lightweight methods. 03 30 2020 483 487 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2307.039520 https://www.ijitee.org/portfolio-item/E2307039520/ UG Final year Student, Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai. B. Hemanth Kumar Reddy V. Parthipan* Assistant Professor, Department of Computer Science and Engineering at Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai. Distributed computing has a significant job in the improvement of business frameworks. It empowers organizations like Microsoft, Amazon, IBM and Google to convey their administrations for a huge scope to its clients. A cloud specialist organization oversees distributed computing based administrations and applications. For any association a cloud specialist co-op (CSP) is an element which works inside it. So it experiences vulnerabilities related with association, including interior and outer assaults. So its test to association to verify a cloud specialist co-op while giving nature of administration. Property based encryption can be utilized to furnish information security with ciphertext strategy trait based encryption (CP-ABE). Be that as it may, ABE plans has absence of versatility and adaptability for giving Hierarchical CP-ABE plot is proposed here to give fine grained get to control. Information security is accomplished utilizing encryption, validation and approval components. Property key age is proposed for executing approval of clients. The proposed framework is proposes to consolidate cryptography with steganography in such a manner by installing crypto content into a picture to give expanded degree of information security and information proprietorship for imperfect interactive media applications. It makes it harder for a cryptanalyst to recover the plaintext of a mystery message from a stego-object if steganalysis were not utilized. This plan essentially improved the information security just as information protection. 03 30 2020 582 589 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2309.039520 https://www.ijitee.org/portfolio-item/E2309039520/ PG Scholar, Electrical and Electronics Engineering, JNTUA, Ananthapuramu, AP. M. J. Nikhitha P. Bharat kumar Assistant Professor, Electrical and Electronics Engineering, JNTUA, Ananthapuramu, AP. P. Sujatha Professor, Electrical and Electronics Engineering, JNTUA, Ananthapuramu, AP. In wind energy conversion system (WECS) Double Fed Induction generator (DFIG) preferred, though it has many advantages when used in wind energy system, but DFIG is very sensitive to the grid disruptions. When an error occurs DFIG is greatly affected in the multi- machine system. The voltage and power gets deviated. The main purpose of this paper is to stabilize the DFIG under fault conditions, but the performance of the DFIG is depends on the PI controller parameters. By using Harmony Search Algorithm (HSA) technique the PI controller parameters are tuned, by this the efficiency of a system can be improved and the voltage and power oscillations can be reduced. The simulation is performed in detailed model of four-machine two-area system. The whole process is done in the MATLAB Simulink software. A comparative study is done between tuning of PI parameter with HSA and actual existing system. 03 30 2020 320 327 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2313.039520 https://www.ijitee.org/portfolio-item/E2313039520/ Professor and HOD, Dept. of Electrical and Electronics Engineering, Acharya Institute of Technology, Bengaluru, Karnataka. J P Sridhar R Prakash Assistant professor in department of EEE, SJB Institute of Technology, Bengaluru, and Karnataka. Distributed or decentralized power generation (DGEN) technology is popularized in the 21st century and it emerged has an effective alternative solution to meet the forecasted energy demand for restructured power system by putting restriction on power plants and transmission lines of the of the next decade generation. Modified state policies and increased technological innovation for low-capacity production promotes increased development and investment of DGEN. The use of distributed renewable energy generation has been driven by environmental concerns. DGEN's incorporation into the distribution side of the network offers critical system advantages such as voltage assistance support, reduction in loss, transmission power increase, strengthened system performance, etc.This paper presents the optimized DG placement (ODGP) and sizing solution in distribution side of the network for the multiobjective formulation includes the objective of minimizing the losses, maximization of voltage stability and also includes the cost requirement. The new Meta-heuristic based Approach named as Whale optimization algorithm is used for optimal placement and Sizing of DGEN is considered in this work and the solution of the proposed optimization algorithm is compared with two most popular optimization techniques such as Particle Swarm Optimization (PSOA), Cuckoo Search Algorithm (CSOA). The comparative analysis of these above said optimization techniques is developed and compared for performance comparison can be done with 69 bus IEEE standard radial system to validate the results of the proposed multi objective problem. 03 30 2020 404 411 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2314.039520 https://www.ijitee.org/portfolio-item/E2314039520/ Department of Documentary and Information Activities, State University of Telecommunications, Ukraine. L. Storozhenko O. Sheremeta Department of Documentary and Information Activities, State University of Telecommunications, Ukraine. S. Petkun Department of Documentary and Information Activities, State University of Telecommunications, Ukraine. I. Vanovska Department of Linguistic Research, Taras Shevchenko National University of Kyiv, Ukraine. The purpose of the article is to study the genesis, development and current state of information and communication models of education; the selection of the main types of information and communication paradigms, analysis of their shortcomings and advantages, the main principles. The paper describes the discussion issues concerning the issues of information and communication education in the historical section of the second half of the XX – the beginning of the XXI century. The methodological basis of the study consists of the historical-comparative method, methods of analysis and synthesis. To theoretical and methodological tools, we can also cite systemic and synergetic approaches. The scientific novelty lies in the fact that the question of the history of formation, the dynamics of development and the current state of information and communication education in Ukraine and in the world remains open today. Relevance, high social significance, the innovation of the formulated problem and its lack of elaboration led to the necessity of its conceptual and systematic study, therefore this scientific development concerning this problem is extremely important. The study first observed the formation, development and current state of information and communication educational models. The cultural dynamics of modern society urgently require a radical transformation of the educational system, its correlation with the needs of a new information age. These requirements prove the necessity of a global modernization of the education system, which today, as a mode of spiritual culture, does not meet the requirements of the new information order, in which education is determinative. 03 30 2020 412 418 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2316.039520 https://www.ijitee.org/portfolio-item/E2316039520/ Professor of MGSU Department of TOSP Shulzhenko Sergey Nikolayevich Fedorovich Anton Sergeevich Students Moscow State University of Construction, Russia, Moscow Kashukoev Kantemir Zhiraslanovich Students Moscow State University of Construction, Russia, Moscow Avenyan Artur Varuzhanovich Students Moscow State University of Construction, Russia, Moscow Sukharenko Kirill Andreevich Students Moscow State University of Construction, Russia, Moscow Petrova Katerina Valer'evna Students Moscow State University of Construction, Russia, Moscow In this work, laboratory tests were conducted to study hydrogeological conditions, while determining the properties of natural ground water for the preparation of project documentation for the construction of an apartment building at the address: Kirov region, Vyatskopolyansky district, village. Krasnaya Polyana, Druzhby str., 1. In this article, based on the results of chemical analyses, ground water is non-aggressive in relation to W4 concrete in terms of water resistance. According to the content of chlorides, ground water is non-aggressive to the reinforcement of reinforced concrete structures made of concrete of the grade for water impermeability of at least W6. The indicators obtained as a result of laboratory studies will be one of the important indicators during the design work. 03 30 2020 328 332 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2317.039520 https://www.ijitee.org/portfolio-item/E2317039520/ FPT University Hanoi, Vietnam. Cho Do Xuan Tisenko Victor Nikolaevich Peter the Great St. Petersburg Polytechnic University Russia, St.Petersburg, Polytechnicheskaya Do Hoang Long FPT UniversityHanoi, Vietnam Nguyen Vuong Tuan Hiep FPT UniversityHanoi, Vietnam Le Quang Sang FPT UniversityHanoi, Vietnam Advanced Persistent Threat (APT) is an exceptionally perilous attack with a specific target and purpose. It consists of various complex and devious techniques in order to be able to obtain a highly secured trade secret, sensitive information. Currently, the APT attack is tremendously difficult to deal with because of its unique design for each target, which makes prior experiences and rules less accurate in detecting APT attacks. In addition, the APT detection method also must not rely on any single procedures or solutions but to include several phases and technologies. On the other hand, correlation analysis technique is a mathematic one which figures how separate elements affect each other and produces conclusion based on multiple factors mutual properties. Hence, in this report, correlation analysis technique is proposed by the authors. 03 30 2020 419 424 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2318.039520 https://www.ijitee.org/portfolio-item/E2318039520/ Research Scholar, Mewar University Gangrar, Chittorgarh, Rajasthan, India Chaitanya Mishra* Prof.(Dr.)Tanveer Ahmed Kazi PhD supervisor, Dean(Engg. & Technology) Mewar University,Gangrar, Chittorgarh, Rajasthan, India Confinement has been always a key concern area for researchers in present and in past also. The metal confinement of RCC columns has been extensively used from long time like concrete-filled steel tube (CFST) columns etc. In the present work mild steel rings have been used as confining material. In this paper based on experimental work, it is aimed to improve the axial compression strength and lateral deformation characteristics of circular RCC columns confined by mild steel (MS) rings. Total 45 nos. of specimen of size 150 mm dia. and 300 mm height were prepared during the experimental work. These specimen were tested and results were analyzed.These MS rings confined circular RCC columns of M 25 grade concrete were experimentally studied for different variables like (i) % of column main vertical steel bars (ii) thickness of MS rings (iii) spacing of MS rings. It was found that the MS ring confinement effectively helped in reducing lateral deformation of circular RCC column specimen resulting in improved axial compressive load capacity of circular RCC columns also. As MS rings are made up of conventional material i.e. mild steel pipes, the technique has a vast application area. In rural part of India this technique can be conviniently used for the efficient confinement of RCC columns. 03 30 2020 221 223 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2319.039520 https://www.ijitee.org/portfolio-item/E2319039520/ Department of Civil Engineering, S.K.N. Sinhgad college of Engineering, Korti, Pandharpur, India. Swati Bhore* Chetan Pise Department of Civil Engineering,S.K.N. Sinhgad college of Engineering, Korti, Pandharpur ,India. Shriganesh Kadam Assistant Professor ,Department of Civil Engineering , S.K.N. Sinhgad college of Engineering, Korti, Pandharpur, India. In our day to day life increases Population. So that there is increasing basic need of human being. I.e. Food, Clothing, Shelter. In this, Shelter is most required in recently situation for protected from environment. Mostly we use level or plain ground for construction of houses. However, now it is very less for utilization of level land. Therefore, required more land to use for fulfillment human need. I.e. required to use of land on sloping ground also. When we construct building on sloping ground, it is irregular; centre of gravity and mass does not match to vertical and horizontal plane. So, while construction of Multi storey building on sloping ground required proper design and analysis. For analysis we consider four types of building configuration step back, set back, step back and set back frames and regular building on plain ground. Also, 10 and 12 storey considered. In that, base shear, displacement and storey drift find out and compare same with other building configuration by using ETABS Software. 03 30 2020 1592 1596 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2321.039520 https://www.ijitee.org/portfolio-item/E2321039520/ School of Electrical Engineering, KIIT Deemed to be university, Bhuboneswar, India. Subhra Debdas* Priyasmita Kundu School of Computer Science Engineering, KIIT Deemed to be university, Bhuboneswar, India. Divyashree Aditi School of Computer Science Engineering, KIIT Deemed to be university, Bhuboneswar, India. Future technology totally based on smart automation and smart information transfer. Internet of Things makes a bridge communication from appliances and industry to smart automation. Sensors of Internet of Things records the physical data from the appliances and industry and transfer accordingly for analytic and decision processing. Next in line to advancements, for example, RFID and Wireless Sensor Networks, the Internet Of Things has unearthed bolt upright interconnection of restrictive frameworks. IoT depicts the future condition of the interconnected network between these storehouses, empowering the revelation of tangible sensors and elucidation of data transfer amidst the things. This paper comes up with a schematic path and network empowerment to give the interconnections among different frameworks and platform based data transmission technology and information management. 03 30 2020 728 733 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2323.039520 https://www.ijitee.org/portfolio-item/E2323039520/ Department of Mathematics and Computer Science, University of Missouri-St. Louis, Missouri, USA. Raghavendra Vijay Bhasker Vangara* Kailashnathan Thirupathur Department of Computer Science, University of Bridgeport, Connecticut, USA. Shiva Prasad Vangara Department of Information Systems, Indiana Tech University, Indianapolis, USA. With the recent advancement in the field of online services, the importance of a review for a product has also gone up. In this paper we focus on the aspect of reducing the time and effort for the user by recommending the best product to him. For this to be achieved, this paper proposes a Naive Bayes Classifier which labels the reviews accurately and combines the reviews to give a final rating to the product. The amazon product review data consisting of both negative and positive reviews was used for training and testing purposes. The model’s performance is evaluated, and results are analysed. 03 30 2020 495 498 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2402.039520 https://www.ijitee.org/portfolio-item/E2402039520/ Assistant Professor, Department of Civil Engineering, SNS College of Engineering, Coimbatore, India. Muthuminal. R* Dr.M.N.A.Gulshan Taj Associate Professor, Department of Civil Engineering, Sona College of Technology,Salem, India. This paper deals with a detailed outline on the design, analysis, response and control measures of steel transmission line towers for the past few years. Due to the technological boom there led a change in our current way of lifestyle which makes necessary for the electricity to be available for 24x7. As the transmission line towers are one of the essential life line structures in the distribution of power from the source to the various places for several purposes and stand forth as lifelines of humans by enlightening our daily lives, it is essential to create a damage free transmission tower since, it is not imaginable to lead the life with absence of such electric serving systems. This review paper shed light on various case studies that deals with the collapse of transmission line towers which are stimulated by the action of wind and earthquake loads along with the creation of three dimensional models using the software. In addition detailed response of towers at different seismic zones under various wind zones are also discussed. The response of the transmission line tower differs depending over several structural bracing configurations which are highlighted in here through the comparisons. This paper also indicates about the response of towers with the foundation at soil surface which is termed as pile-soil-structure dynamic interaction. The present study is the outline of various literature researches over the analysis of steel transmission line towers by using the FEM analysis. 03 30 2020 499 505 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2404.039520 https://www.ijitee.org/portfolio-item/E2404039520/ Assistant Professor in Mechanical Engineering Department of U. V. Patel College of Engineering, Ganpat University, Kherva, Dist. Mehsana, Gujarat, India. Prof. Pradipkumar S. Chaudhari Dr. Dhaval M. Patel Professor in Mechanical Engineering Department of Vishwakarma Government Engineering College, Ahmedabad, Gujarat, India. Dr. Bhaveshkumar P. Patel Associate Professor in Mechanical Engineering Department of U. V. Patel College of Engineering, Ganpat University, Kherva, Dist. Mehsana, Gujarat, India. Abrasive Jet Machine (AJM) widely used for cutting brittle materials. The present study focus on experimental investigation for performance parameters like Material Removal Rate (MRR) and Surface Roughness (SR) with variation in controlling parameters. Here, air pressure, abrasive particle temperature and speed of mixing chamber considered as controlling parameters for measurement of their effects on performance parameters of AJM. Compare to conventional method of AJM, unique feature of heating jacket and rotary mechanism provided in the newly developed AJM for experimental purpose. Experimental results reveal that the MRR and SR gets increased with increase in pressure, temperature and speed of mixing chamber. 03 30 2020 791 795 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2413.039520 https://www.ijitee.org/portfolio-item/E2413039520/ MSc Student, Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India. Ragul R Dr Arokia Paul Rajan* Associate Professor, Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India. As the new era of computing technology begins with the start of the 21st century, the data produced by each person are increasing enormously day-by-day. Companies started to track one’s personal details from applications like media sharing, social networks, eCommerce, etc. since they have started to generate a lot of data traffic. The Database, where these heavy loads of generated data have been stored, had to scale out to handle the network traffic. Cloud computing arrival carves a solution for this trafficking problem by making data sharding a suitable option for scaling the data. This paper discusses about the importance of database sharding and the distribution of the database over the different server and also how sharding is helpful to scale the incoming amount of enormous data to control the data trafficking issues in the cloud database. Also compares the difference in the performance of database with and without sharding techniques using SQL server instance. 03 30 2020 590 593 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2418.039520 https://www.ijitee.org/portfolio-item/E2418039520/ Department of Computer Science & Engineering, Government College of Engineering & Textile Technology, Berhampore, Murshidabad, West Bengal, India. Md. Bakash Ahamed* Suchintya Sarkar Department of Computer Science & Engineering, Government College of Engineering & Textile Technology, Berhampore, Murshidabad, West Bengal, India. Dibyendu Barman Department of Computer Science & Engineering, Government College of Engineering & Textile Technology, Berhampore, Murshidabad, West Bengal, India. As a robust image processing technique, the broken edge linking technique is considered to be the complementary one to the edge detection technique. Here in case of the edge linking problem, we form closed contours by linking the broken edges. This action indeed needed to split the areas in the image into different parts known as segment. However the traditional edge linking technique is always succeeded by the traditional edge detection technique. The traditional edge linking technique, for all time, neglects some significant part of the boundaries to consider, as a result, appropriate and perfect solutions to the edge related linking problem cannot be reached always. With this article, we presented an improved method (technique) for the edge related linking difficulty (problem), which is actually the expansion of the original old Ant System (AS) algorithm. Here in the experiment, we mainly consider the two decisive and significant factors: first one is the length of the linking edge as well as second one is the grayscale visibility of the pixels, apart from an sobel edge binary image , so that the effective solution evaluation and enhancement of the overall performance can be achieved. The experiment showed the expected result, are presented herewith this to ensure the successfulness of the projected improved technique /algorithm. 03 30 2020 1792 1798 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2419.039520 https://www.ijitee.org/portfolio-item/E2419039520/ Department of Computer Science, Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas, TX, USA. Jae Won Choi Young Keun Choi Division of Business Administration, School of Business and Economics, Seoul, The republic of Korea. Medical errors are generally costly and harmful. There are many deaths worldwide every year. Clinical decision support systems provide opportunities to reduce medical errors and improve patient safety. Certainly, one of the most important aspects of applying such a system is the diagnosis and treatment of heart disease. Machine learning technology is implemented to analyze different kinds of heart-based problems. For this, this study essentially had two primary goals. Firstly, this paper intends to understand the role of variables in heart disease modeling better. Secondly, the study seeks to evaluate the predictive performance of the decision trees. Based on these results, first, men seem to be more susceptible to heart disease than women. Age, chest pain type, resting blood pressure, serum cholesterol, fasting blood sugar, maximum heart rate achieved, exercise-induced angina, ST depression induced by exercise relative to rest, the slope of the peak exercise ST segment, and the number of major vessels also show increased odds of having heart disease. Second, for the full model, the accuracy rate is 0.873, which implies that the error rate is 0.127. Among the patients who predicted not to have heart disease, the accuracy that would not have heart disease was 85.43%, and the accuracy that had heart disease was 89.10% among the patients predicted to have heart disease. 03 30 2020 1364 1369 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2423.039520 https://www.ijitee.org/portfolio-item/E2423039520/ Department of Computer Science, University College of Science, Tumkur University, Tumakuru, India. Dr. Kusuma Kumari B.M* Dr. Ramakanth Kumar P Department of Computer Science and Enginerring, R.V. College of Engineering, Bengaluru, India. The modernization of the automobile manufacturing automatically increases the number of automobiles on transportation way. Day by day with the quick increase in automobiles, the number of road accidents seems to be drastically increasing. In our daily life accidents are common phenomenon. In the Universe, yearly the accidents on road may cause fatal injuries, death and economic losses. Drowsiness of the driver may be one of the prime causes for accidents on the way and the driver is prone to a possible accident. So it is essential requirement to find the driver’s drowsiness to reduce the road accident rates. In this paper we proposed a system to find the driver drowsiness based on eye, mouth and head tilt. This system is helpful to monitor a driver’s observance level and warns him for a significant part in avoiding road mishaps. 03 30 2020 506 511 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2424.039520 https://www.ijitee.org/portfolio-item/E2424039520/ Research Scholar, ECE Department, IK Gujral Punjab Technical University, Jalandhar, India. Parvinder Singh* Rajeshwar Singh Director, Doaba Group of Colleges, Rahon, SBS Nagar, India. The technological advances in wireless communication systems and digital data processing techniques has given rise to many innovative intelligent networks. One such network is wireless sensor network (WSN). In recent past, huge growth has been perceived in the applications of WSN. In wireless sensor network, the battery powered sensor nodes are scattered in a monitoring area and it is impossible to replace the batteries of sensor nodes after deployment. Therefore, energy efficiency remains a prime concern in design of WSNs. The routing protocols help to find energy efficient routes and increases the lifetime of WSNs. The cluster-based routing techniques play an important role in design of energy efficient WSNs. However, authors analyzed two types of sensor networks in the literature such as homogeneous and heterogeneous networks. In homogeneous clustering, all sensor nodes possess same level of initial energy and cluster head (CH) formation probability of each node in such networks remains equal. In heterogeneous clustering, the nodes are bifurcated into three energy levels such as normal node, advanced node and super node. Therefore, the CH formation probability of a node in such network depends on the type of node. This paper presented a survey on recent energy efficient routing protocols in homogeneous as well as heterogeneous wireless sensor networks. The energy efficient routing protocols are classified based on some quality of service (QoS) metrics such as energy efficiency, network lifetime, network stability, cluster head selection threshold and heterogeneity levels. 03 30 2020 425 431 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2429.039520 https://www.ijitee.org/portfolio-item/E2429039520/ Civil Engineering Department, Sri Krishna College of Engineering and Technology, Coimbatore, India. S. C. Boobalan* P. Abirami Civil Engineering Department, Sri Krishna College of Engineering and Technology, Coimbatore, India. K. Indhu Civil Engineering Department, Sri Krishna College of Engineering and Technology, Coimbatore, India. Skew slab structures are frequently investigation used in modern construction in the form of non-orthogonal reinforced concrete slabs supported by skew grid of beams. Skew bridges allow roadway alignments to a huge selection of solutions. Skew slabs contribute to a minimal environmental impact for recent road construction projects. Thus, it is difficult to analyse the skew slab bridges than the right angled bridges. The primary objective of this project is “Numerical Examination of Reinforced Concrete Skew Slab”, is to determine the effect of different arrangement of steel reinforcement in the reinforced concrete skew slabs. For skew slabs, the sides are not orthogonal and so it is a matter of interest to study the effect of different types of reinforcement schemes to arrive at the best arrangement. ANSYS (R.18.1) software was used for the analysis of skew slabs. Except the reinforcement alignment, dimensions are similar in all the skew slabs. For identifying the effective reinforcement pattern in skew slabs, deformation, stress, strain behaviour were studied. By comparing the datas for three types of reinforcement pattern in skew slab, the effective pattern will be observed in pattern having least values in solution. On analysis, the behaviour of different reinforcement pattern for the designed skew slab is studied using ANSYS (R.18.1) and the effective reinforcement pattern is suggested. 03 30 2020 512 516 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2435.039520 https://www.ijitee.org/portfolio-item/E2435039520/ Civil Engineering department, JJT University, City-Jaipur, Country-India. Vaishali Rama Turai* Dr. Ajit Rajdhar Patil Civil Engineering department, G H Raisoni College of Engineering and Research, City-Pune, Country-India. The Precast industry is booming industry now a day, but then also the implementation ratio of precast member in residential construction work is not up to the mark. As we all know that precast having numerous advantages over the cast in situ construction method, for example it saves the total time of construction which indirectly reduces the cost of construction but still we are lagging behind in implementation of precast in it. In this research we have listed out some problem which can be cause of less implementation of precast in residential construction buildings. As discussed in paper, there are so many factors are affected on Implementation of Precast in Residential Construction Sector For example: Technical Issues and General Issues. In Technical Issues Joint stability problem during Erection, Standard size of precast element, Leakage Issues, Design change related problem, Requirement of Standard Rate per Panel, End user Profit, Additional Taxes, General Issues are: Transportation of Precast Element, Loading and Unloading problems, Transportation to sight, Storage Area, Skilled Labour Research has done and data is collected through Questionery survey, Field survey, and research survey. 03 30 2020 2394 2396 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2438.039520 https://www.ijitee.org/portfolio-item/E2438039520/ Department of Electrical Engineering, Chandigarh University, Punjab, India. Pardeep Kumar Muskan Mahajan Btech- Computer Science and Engineering, Dav University, Punjab, India. Chanchal Chauhan Department of Electrical Engineering, Chandigarh University, Punjab, India. This proposes a Novel Automatic Timer Smart Water Heating Rod. This will be an Energy-Efficient Heating rod, which will be switched off automatically with the help of Timer (Arduino based). It will automatically cut-off supply, as soon as specified time is attained. All process show in Liquid Crystal Display, first set time value how much time you will need for boiling water after set time setting press push button to start device, start time after complete time value Relay automatic Cut-Off Secondly, it will avoid over hearting as well as burning of heating Rod (Due to Heat Losses), which sometimes leads to short-circuiting as well as unsafe for the User (operator) 03 30 2020 702 704 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2443.039520 https://www.ijitee.org/portfolio-item/E2443039520/ Department of Computer Science, University College of Science, Tumkur University, Tumakuru, India. Dr. Kusuma Kumari B.M* Dr. Ramakanth Kumar P Department of Computer Science and Enginerring, R.V. College of Engineering, Bengaluru, India. Dr. B.L. Mukundappa Department of Computer Science, University College of Science, Tumkur University, Tumakuru, India. Driver drowsiness is the main issue in an ample of vehicle accidents. Annually hundreds of people lose their life or get seriously injured because of sleepiness of the drivers while driving. In this paper, we are mainly concentrated on eyes and Viola Jones algorithm has used to find the Face detection. The eyes are found using the Haar-like features. If the eyes are open then the Iris detected using Canny edge detection with circles drawn on the Iris using Circular Hough Transform algorithm if the driver is alert then two circles appear around the eyes otherwise warning message is displayed to the driver with an alarm signal. 03 30 2020 594 599 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2455.039520 https://www.ijitee.org/portfolio-item/E2455039520/ Information Technology, Kongunadu College of Engineering and Technology, Thottiam, Trichy, India. S. Simonthomas* G. Karthik Information Technology, Kongunadu College of Engineering and Technology, Thottiam, Trichy, India. S. Kalaivanan Information Technology, Kongunadu College of Engineering and Technology, Thottiam, Trichy, India. M. Mythili Information Technology, Kongunadu College of Engineering and Technology, Thottiam, Trichy, India. Robotics is the human interface machine used for fulfill the desired work where human efforts are low. In General the design of a robot involves various types of analyses that invariably include structural, dynamic, kinematic and numerical experiments. A robot designed for weeding problems would have to consider the stages of plant growth. Initially prescribed description of the framework for proposed robot is provide the simplicity along with the known parameters of design. The primary design parameter of the robot and cutting mechanism establishes certain geometric and structural constrains on the design the worm gear, worm and blades which is attached with motors for comprising the cutting mechanism of the robot. This relationship is studied in order to improve the speed of cutting the weeds by image processing of camera for the differentiation of the weeds and plants by the robot. A significant reduction in size is achieved by working on these variables which leads to the improvement in the functional aspects and reduces the innovation of bigger machine used for these weeding purposes in modern world. There are 3 motors in which 2 motors are used for movement and 1 motor is used for actuating the cutting mechanism. This whole mechanism is controlled by Arduino UNO controller and MatLAB software. Arduino UNO controls the movement of the robot and the MatLAB software controls the differentiation of the plants and the weeds depending on the task allocated to the robot. 03 30 2020 600 604 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2457.039520 https://www.ijitee.org/portfolio-item/E2457039520/ Maritime Polytechnic of AMI Makassar, Indonesia. Rusnaedi Rusi* Suandar Baso Naval Architecture Department, Engineering Faculty, Hasanuddin University. Syamsul Asri Naval Architecture Department, Engineering Faculty, Hasanuddin University. The seafarer’s profession will be facing a few strong challenges today and future next. Correspondingly, the Standards of Training, Certification and Watchkeeping for Seafarers (STCW) requires tightly the maritime vocational education that must produce graduates with appropriate and needed competences related with international trade perspective in the shipping sector. In order to improve student skill, a training ship is needed by maritime vocational education as real practice for student. This research describes a modeling framework of basic ship design for training ship of the maritime vocational education. The modeling framework was divided into three parts namely the model of training ship type selection, the capacity of the training ship, and the main dimensions of the training ship design. The modeling framework was applied to Maritime Polytechnic of AMI Makassar as a case study. The research results show the selected type ship was passenger-cargo ship type 37.20. The capacity of the training ship was about 150 students with cargo capacity 50 ton. The main dimensions of the training ship design were obtained where length between perpendiculars (Lbp), breadth (B), height (H), and draft (T) were 72.00 m, 12.00 m, 5.50 m, and 2.53 m respectively. The main dimensions of the training ship design were corrected as well by the parameters of main dimension ratio, geometric form coefficient, weight, and initial static stability. 03 30 2020 705 714 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2459.039520 https://www.ijitee.org/portfolio-item/E2459039520/ Research Scholar, Dept. Of Civil Engineering, Vel Tech Rangarajan Dr Sagunthala R&D Institute Of Science And Technology, Chennai Mr. M. Manoj Kumar Dr. S. Yuvaraj Associate Professor, Dept. Of Civil Engineering, Vel Tech Rangarajan Dr Sagunthala R&D Institute Of Science And Technology, Chennai In stock, because of the low carbon dioxide radiation, geopolymers are very important worldwide as a building material, unlike Portland cement. Today, nanotechnology is an indispensable feature in the field of building management. It has observed that several nanomaterials influence various properties of cement-based concrete. Fly ash-based geopolymer- concrete is an option for cement-based concrete, and nanoparticles change the properties of geopolymers. Nanomaterials, such as CNTs, nano-silica, and graphene, combined with gene polymer mortars, significantly improve their properties. NanoTiO2, when found, acts as a photocatalyst. Particularly nanomaterials such as nano-silver act as anti-bacterial agents. The functions of several nanomaterials have been studied and discussed to change the properties of geo-polymer concrete and mortars. 03 30 2020 605 611 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2462.039520 https://www.ijitee.org/portfolio-item/E2462039520/ Assistant Professor, Department of Information Technology, Shah and Anchor Kutchhi Engineering College, Mumbai, India. Ms. Jalpa Mehta Mr. Jaydeep Dharamsey Department of Information Technology, Shah and Anchor Kutchhi Engineering College, Mumbai, India. Ms. Pravalika Domal Department of Information Technology, Shah and Anchor Kutchhi Engineering College, Mumbai, India. Dr. Vivek Vasudev Pai Director, Department of Bombay Leprosy Project, Mumbai, India. Leprosy is one of the major public health problems and listed among the neglected tropical diseases in India. It is also called Hansen's Diseases (HD), which is a long haul contamination by microorganisms Mycobacterium leprae or Mycobacterium lepromatosis.Untreated, leprosy can dynamic and changeless harm to the skin, nerves, appendages, and eyes. This paper intends to depict classification of leprosy cases from the main indication of side effects. Electronic Health Records (EHRs) of Leprosy Patients from verified sources have been generated. The clinical notes included in EHRs have been processed through Natural Language Processing Tools. In order to predict type of leprosy, Rule based classification method has been proposed in this paper. Further our approach is compared with various Machine Learning (ML) algorithms like Support Vector Machine (SVM), Logistic regression (LR) and performance parameters are compared. 03 30 2020 2331 2336 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2464.039520 https://www.ijitee.org/portfolio-item/E2464039520/ Research Scholar, PG and Research Department of Computer Science, Rajah Serfoji Government College, Thanjavur, Affiliated to Bharathidasan University, Tiruchirappalli, Tamil Nadu, India. S. Jamuna* Dr. K. Mohan Kumar Head, PG and Research Department of Computer Science, Rajah Serfoji Government College, Thanjavur, Affiliated to Bharathidasan University, Tiruchirappalli, Tamil Nadu, India. The thyroid hormones secreted by thyroid gland are interrelated with many metabolic processes of our body. Any dysfunction of thyroid gland leads to thyroid diseases. Hypothyroidism and hyperthyroidism are the very common thyroid disorders which affect the large number of people nowadays. Prediction of thyroid diseases at right time and giving suitable medicines to the patients help them to overcome the health problems. A machine learning technique will definitely assist the physicians for the prediction and treatment of thyroid diseases. In this work, the datasets are taken from UCI repository and Fuzzy- C Means algorithm is used for the clustering the thyroid diseases. 03 30 2020 432 438 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2467.039520 https://www.ijitee.org/portfolio-item/E2467039520/ Research Scholar, Vinayaka Mission’s Kirupananda Variyar Engineering College, Salem, Tamil Nadu, India. Mr. Sanjay Singh Dr. M. Prabhahar Professor, Department of Mechanical Engineering, Aarupadai Veedu Institute of Technology, Chennai, Tamil Nadu, India. Increasing level of pollution day by day in atmosphere has developed a worried situation for all. The existence of human life is at risk. The emission of pollutants in the atmosphere especially green house gases have to be minimized immediately in order to prevent any type of natural disaster. Industries and automobile sectors are more responsible in emission of pollutants. The same has to be curbed and brought under control. Using biodiesel has proved to be environment friendly to a great extent. In this paper, the algae oil is used with Zirconium Dioxide (ZrO2) coated piston in order to improve the performance of the VCR engine in which the analysis for combustion and emission characteristics is performed. The considerable improvement in performance is observed with coated piston as more amount of heat developed is utilized for producing useful work. 03 30 2020 224 231 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2469.039520 https://www.ijitee.org/portfolio-item/E2469039520/ B.Tech, Department of ECE, Guru Nanak Engineering College, JNTUH, Hyderabad, Telangana, India. N. Kavitha Sai Sundara Amulya Ganti B.Tech, Department of EIE, VNR VJIET, Telangana, India. Dr. K Sudha Rani Ph.D., Department of Biomedical Instrumentation, JNTU Kakinada, Andhra Pradesh, Inida. K. Mani Kumari Pursing Ph.D., Osmania University, Hyderabad, Telangana, India. B. Bhagyasree M.Tech, Department of Digital Systems, Osmania University, Hyderabad, Telangana, India. In the field of medical sciences, brain tumor detection has immense significance. Extraction of peculiar tumor portion along with certain features is possible with the use of methods that come under image processing. In the recent years techniques like segmentation and morphological have been undertaken to detect the set of unusual cells that grow in the brain which might be malignant or benign. This paper deals with characterization of texture to obtain Haralick features, with texture being the principle attribute of an image and finds lot of application in image processing. This involves the use of SVM classifier in the algorithm to classify texture in order to detect brain tumor. It has been tested for 70 images and statistical parameters have been calculated and the obtained accuracy is 97.1%, precision is 98.4% and sensitivity is 98%. 03 30 2020 1370 1372 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2470.039520 https://www.ijitee.org/portfolio-item/E2470039520/ Department of Biotechnology Prathyusha Engineering College, Chennai Joyce Hellen Sathya D Gayethri S Department of Biotechnology Prathyusha Engineering College, Chennai Reena S Department of Biotechnology Prathyusha Engineering College, Chennai Nihar Sultana J Department of Biotechnology Prathyusha Engineering College, Chennai Swetha S Department of Biotechnology Prathyusha Engineering College, Chennai Ranjitsingh A J A* Department of Biotechnology Prathyusha Engineering College, Chennai To replace conventional fossil fuels extensive research works are being carried out using bio-resources. In this scenario an experimental study was carried out to extract bioethanol from the seeds of the plant Delonix regia. . Delonix regia pod has several characteristics features like high cellulose and hemicelluloses content and that can be readily hydrolysed into fermentable sugar. In our present study the pods of D.regia were powdered and sterilised. The pod powder was treated with laboratory grown Sacchromyces cervisiae and allowed for fermentation. Different doses of Delonix regia pod powder was used (4, 8, 12, and 16%) to study their effect on ethanol fermentation by the yeast Saccharomyces cerevisiae. An increase in the substrate concentration was found to increase the bioethanol yield. The ethanol production was high after 24 hour of fermentation when the substrate concentration was 16%. Temperature between 30-35°C and pH4.5 are reported to be optimum for the growth of yeast and good bioethanol synthesis. HPLC analysis of the extracted sugar of the pod showed the presence of cellulose and hemicellulose. After distillation the produced bio ethanol was tested for its quality and found it well suited for fuel. 03 30 2020 1523 1527 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2476.039520 https://www.ijitee.org/portfolio-item/E2476039520/ Assistant Professor in the Department of Computer Application, Government Arts College, C.Mutlur, Chidambaram, Tamil Nadu, India. A. Subashini* M. Karthikeyan Assistant Professor in the Division of Computer and Information Science, Annamalai University, Annamalai Nagar, Chidambaram, Tamil Nadu, India. In recent year, frequent Itemset Mining (FIM) has occurred as a vital role in data mining tasks. The search of FIM in a transactions data is discovered in this paper, pull out hidden pattern from transactions data. The main two limitation of the Apriori algorithm are undertaken, first, its scans the complete Databases at every passes to compute the supports of every itemset produced and secondly, the user defined responsive to variation of min_sup (minimum supports) thresholds. In this paper, proposed methodology called frequent Itemset Mining in unique Scan (FIMUS), needs a scan only one time of transaction databases to extract frequent itemsets. The generation of a static numbers of candidate Itemset is an exclusive feature, individually from the threshold of min_sup, which reduces the execution time for huge database. The proposed algorithm FIMUS is compared with Apriori algorithm using benchmark database for a dense databases. The experimental result confirms the scalability of FIMUS. 03 30 2020 612 617 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2477.039520 https://www.ijitee.org/portfolio-item/E2477039520/ Associate professor, Department of CSE, Vignan Institute of Technology and Management, Berhampur, Ganjam, Odisha. Dr. Sasmita Padhy Dr. Satya Narayan Tripathy Assistant Proffessor, Department of Computer Science, Berhampur University, Odisha. Er. Sisira Kumar Kapat Lecturer, Department of CSE/IT, Uma Charan Patnaik Engineering School, Berhampur, Odisha Dr. Susanta Kumar Das Reader, Department of Berhampur University, Odisha Software testing is a major process in every software development cycle, which is a very expensive procedure. Throughout this phase software testers as well as development companies are eager to verify the software from various viewpoints for repeated testing. But detailed testing requires code execution along with all valid inputs in the form of test cases which is not possible because of resource limitations. The test cases are automatically generated in many of the software. One of the important concerns for any coder during the maintenance phase is the selection of successful test cases for code execution. This paper includes an algorithm that is designed to figure out the statement coverage of a code with proper inputs by executing the priority based approach which involves sorting the inputs in ascending order so as to have an appropriate method to test the code for maximum statement coverage. 03 30 2020 618 621 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2479.039520 https://www.ijitee.org/portfolio-item/E2479039520/ Department of CSE, Faculty of Science and Technology, ICFAI Foundation for Higher Education, Hyderabad, India * Purnima Sai Koumudi Panguluri Kishore Kumar Kamarajugadda Department of ECE, Faculty of Science and Technology, ICFAI Foundation for Higher Education, Hyderabad, India The proposed system generates new images from the existing images using variational autoencoders. The autoencoder aims to map the input image to a multivariate normal distribution in the latent space. Variational autoencoder transforms input image into a remarkable output by reducing the reconstruction and KL divergence losses. The primary advantage of implementing variational autoencoder over the other autoencoders is that it follows a specific probability distribution called Gaussian distribution and results in generating high quality images. 03 30 2020 517 520 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2480.039520 https://www.ijitee.org/portfolio-item/E2480039520/ Department of Electrical and electronics Engineering, Sambalpur University Institute of Information Technology, Sambalpur, India. Swarnabala Upadhyaya* Ambarish Panda Department of Electrical and electronics Engineering, Sambalpur University Institute of Information Technology, Sambalpur, India Maximal overlap discrete wavelet transform (MODWT) is the upgradation of traditional wavelet transform (WT), has been employed for localization of different power quality disturbance signal (PQDS). Every signal has been break down up to fourth level to localize the disturbances. The co-efficient of MODWT have been again employed for classification. The selected indices have been obtained utilizing the detail coefficient of this variant of WT. These features are the inputs to the data mining classifier. Decision Tree (DT) have been implemented for discrimination of PQ disturbance signals. Various PQDS have been generated in noisy and noise free climate. Besides this, the aforementioned techniques is examined with three phase signals bring out from transmission line panels. 03 30 2020 796 800 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2484.039520 https://www.ijitee.org/portfolio-item/E2484039520/ RCPIT Shirpur affiliated to Dr.BATU, Lonere, India Lomesh Mahajan* Sariputt Bhagat Head and Asso. Professor, Dr.BATU, Lonere, India Worldwide CO2 emission has been done by various agencies and reported their roots. The one most emerging and well known contributor of CO2 emission is the cement manufacturing. Now a days, cement manufacturing work out in practice are 1.7 x 109 t/year and it creates 7-8% worldwide greenhouse gas emission. Where the infrastructural growth depends on concrete production and concrete making process needs the binder material as a cement. Cement production has produces 900kg of CO2 per thousand kilogram of cement consumption and it’s definitely doubled in 2050, if other binder material inventions not happened. Therefore as considering a crucial role of binder material, fly ash material can play same or partial role as alternative material to cement. This study mainly introduces fresh fly ash concrete behavior for sustainable adoptability. Fly ash concrete more feasible (cheaper), scale down permeability, boost strength and influence other concrete properties. This paper is useful for assessing workability issues by providing 54 test results of slump cone and compaction factor test. 03 30 2020 1247 1252 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2485.039520 https://www.ijitee.org/portfolio-item/E2485039520/ pursuing M.Sc. in Computer Science & Engineering at Daffodil International University, Dhaka, Bangladesh. Nasrin Sultana* Md. Touhidur Rahman Assistant Programmer, Department of Computer Science & Engineering, University of Dhaka, Dhaka, Bangladesh. Nargis Parven pursuing M.Sc. in Computer Science & Engineering at Daffodil International University, Dhaka, Bangladesh. Muhammad Rashiduzzaman Research Associate, Department of Computer Science & Engineering, Daffodil International University, Dhaka, Bangladesh. Md. Ismail Jabiullah Professor, Department of Computer Science & Engineering, Daffodil International University, Dhaka, Bangladesh. Computer vision-based applications play a vital role in the era of computer science and engineering. Now-a-days peoples are facing different problems in agricultural fields to improve their cultivation. So, a better approach is proposed for plant leaf disease recognition using deep learning techniques for agricultural improvement. This research is very much helpful for the farmers to identify the leaf diseases of a plant. This proposed system has three subsections. One is feature extraction, second is trained networking generation and the third one is classification. This system first takes an image as the input and extracts the features from the image using K-means clustering. Secondly, it generates a trained network using Convolutional Neural Networks (CNNs). Then compare the original leaf image with the generated trained database in the classification section and recognition of the disease of the plant. Different techniques are used in this system for properly recognized the diseases. After analyzed the 3000 trained images, three types of leaf diseases are properly recognized by this system, which are Cercospora Leaf Spot, Mosaic virus, and Alternaria Leaf Spot. The overall accuracy of this system is very good and which is up to 95.26%. 03 30 2020 622 626 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2486.039520 https://www.ijitee.org/portfolio-item/E2486039520/ Civil Engineering Department, Al Balqa Applied University/ Faculty of Engineering Technology, Amman, Jordan. Amani Al Tamseh* Eslam Al Karabsheh Civil Engineering Department, Al Balqa Applied University/ Faculty of Engineering Technology, Amman, Jordan. Salam Al Kasassbeh Civil Engineering Department, Al Balqa Applied University/ Faculty of Engineering Technology, Amman, Jordan. Traffic demands on Jordanian streets have been affected by the increasing human population and the number of vehicles. This study aims to apply transportation demand management (TDM) techniques to improve the level of service (LOS). The study employs both TDM and transportation system management (TSM). In order to investigate what type of strategies to be considered a questionnaire is used. The acceptance degrees of the TDM and TSM groups were measured via the questionnaires using SPSS version 20. The selected policies then are used on a certain location as a study case in Amman city; an intersection is connecting two urban main streets. The used policies have a reduction percentage in traffic demands which is expected throughout an expert panel. The results show that delay and fuel consumption are indeed reduced; however, this does not lead to any considerable improvement in the LOS. The LOS was enhanced when the reduction in traffic demand reached 20% with an increase in capacity achieved by adding 3 new lanes. The fuel consumption and delays were measured to be about 35% less with growth rate of 8% for the coming five years. This study is expected to help popularize TDM policies in place of other solutions so that inexpensive measures can be adopted by the government. 03 30 2020 521 527 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2487.039520 https://www.ijitee.org/portfolio-item/E2487039520/ Research Scholar at Computer Science and Engineering Department, Mewar University, Chittorgarh, India, Associate Professor at Acropolis Institute of Technology and Research Indore, India Rashid Sheikh Durgesh Kumar Mishra Computer Science and Engineering Department, Sri Aurobindo Institute of Technology, Indore, India, There exist many scenarios where multiple parties jointly work on some common project but these parties are not interested to show actual value of data to each other. Here we propose an algorithm where multiple cooperating but distrustful parties can compare their data for equality without disclosing it to one another. This is an improvement over two party comparison algorithm devised earlier by other researchers. The proposed work is suitable for semi honest adversaries who respect rules of the protocol but somehow try to know private values with other parties. 03 30 2020 627 629 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2492.039520 https://www.ijitee.org/portfolio-item/E2492039520/ Research Scholar, EEE Dept, JNTUH, Hyderabad R Jayachandra* Dr G Tulasi Ram Das Professor, EEE Department, JNTUH, Hyderabad Unified Power Flow Controller (UPFC) is one of the most important device in FACTS family, this device in this work is used for power quality improvement. In this paper three level inverter is proposed for UPFC for the reduction of harmonics and for the enhancement of power transfer capability. SVPWM technique decides switching pattern of three level inverter. Therefore, in this paper this method is applied for controlling the three level inverter output. The proposed method is applied on four bus system and results are compared with UPFC without three level inverter. Results demonstrated that the proposed method effectively decreasing the harmonics and increasing the power transfer capability. 03 30 2020 734 739 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2493.039520 https://www.ijitee.org/portfolio-item/E2493039520/ Applied Science Department, Unizah Community Collage, Qassim University, Qassim, Saudi Arabia Mohammed Alreshoodi* IP network mobility has already emerged as a key domain of wireless IP networking. The network research community has taken great interest and paid considerable attention to advance IP mobility applications. Accordingly, different advanced networking mechanisms have been considered to optimize IP network mobility. One of these mechanisms is network multi-homing which has been the focus of many IP mobility studies within the academic research and IETF communities. The combination of network mobility and multi-homing has turned into a conceivable approach to effectively deal with expanding system availability and improving the performance of mobile IP network. There are many studies proposed during the recent years to realize network multi-homing for the Network Mobility Basic Support (NEMO BS) protocol, a leading IETF IP mobility protocol. This paper studies and reviews up-to-date research works in supporting multi-homing for NEMO-based mobile IP networks. The aim is to investigate the current state of multi-homing support for NEMO networks and outline recent research directions in this regard. 03 30 2020 2207 2215 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2494.039520 https://www.ijitee.org/portfolio-item/E2494039520/ Assistant Professor, Department of Mechanical Engineering, Nandha College of Technology, Erode, Tamilnadu, India. K. Adithya R. Girimurugan Assistant Professor, Department of Mechanical Engineering, Nandha College of Technology, Erode, Tamilnadu, India. M. Vairavel Assistant Professor, Department of Mechanical Engineering,Anna poorna Engineering College,Salem, Tamilnadu, India. M. Jawahar UG Student, Department of Mechanical Engineering, Nandha College of Technology, Erode, Tamilnadu, India. K. Surya UG Student, Department of Mechanical Engineering, Nandha College of Technology, Erode, Tamilnadu, India. M. Tamilselvan UG Student, Department of Mechanical Engineering, Nandha College of Technology, Erode, Tamilnadu, India. P. Thiyagarajan UG Student, Department of Mechanical Engineering, Nandha College of Technology, Erode, Tamilnadu, India. In most modern years, the dimensions and materials of the blades of steam turbines have increased by raising the power of steam turbines. In preference to the wide-ranging application of turbo machinery and constant improvement of steam turbine blade materials and design techniques, steam turbine blade design and material behavior study technology have turned out to be a significant following in the line of investigation field. The optimized design and material behavior are the most significant factors limiting the efficiency of steam turbines, which is associated with the operating effectiveness of the steam turbines. On the other hand, because of the complicated form and the maximal effects of material behavior, it is not easy to predict and examine the behavior of the turbine blades for different geometrical shapes and materials by both the systematic method and an engineering generalization scheme. The forecasted finite element analysis method offers an efficient means to resolve those complicated project analysis and material behavior challenges. It can be utilized to establish the distribution of stress and heat flux in the entire blade geometry caused by the coupling effect of thermal stress distribution and axial loads on the blade structure. Attempts have been made to match the optimized blade thickness of the steam turbine by utilizing Finite Element Analysis. 03 30 2020 2275 2278 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2495.039520 https://www.ijitee.org/portfolio-item/E2495039520/ Assistant Professor, Department of Mechanical Engineering, Nandha College of Technology, Erode, Tamilnadu, India. R. Girimurugan* M. Vairavel Assistant professor, Department of Mechanical Engineering, Anna Poorna Engineering College,Salem, Tamilnadu, India. S. Dharun Shanjai UG Student, Department of Mechanical Engineering, Nandha College of Technology, Erode, Tamilnadu, India. S. Manikandan UG Student, Department of Mechanical Engineering, Nandha College of Technology, Erode, Tamilnadu, India. R. Manikkumar UG Student, Department of Mechanical Engineering, Nandha College of Technology, Erode, Tamilnadu, India. R. Manojkumar UG Student, Department of Mechanical Engineering, Nandha College of Technology, Erode, Tamilnadu, India. The outcome of adding together naturally available reinforcement material to the natural fiber epoxy composite was examined experimentally. Composites mates were manufactured with the help of a conventional hand-layup method. All composites are prepared with constant weight fraction (30%) of banana fiber with dissimilar weight fraction of (0, 2, 4, 6%) groundnut shell powder is added to the epoxy composite. As per the ASTM standards, test specimens were cut away from the composite mate using the water jet machining process. Tension, compression, hardness, impact, flexural and water absorption tests were conducted according to ASTM standards, to discover the mechanical behavior of the composites. Experimental results represent that mechanical properties are considerably enhanced by means of the adding up of groundnut shell powder to the epoxy-based banana fiber composite. 03 30 2020 2279 2282 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2496.039520 https://www.ijitee.org/portfolio-item/E2496039520/ Assistant Professor, Department of Chemistry, V.S.B Engineering College, Karur, Tamilnadu, India. Kuttiyapillai Sivakumar* Dr. Venkatachalam Chandrasekaran Assistant Professor, Department of Chemistry, Government Arts College (A) , Salem Tamilnadu, India. Trinuclear Schiff base complexes were synthesized by using p-phenylene diamine, 2,3-pentanedione and 3-aminocoumarin and Cu (II), Ni (II), Mn (II), Zn(II) and Cr(III) chloride salts. The category of compound was [M3LCl6]. All trinuclear compounds were analyzed by C, H&N analysis and spectral studies. Mechanism of thermal analysis of trinuclear Schiff base metal complexes was studied. The electrophoresis data confirmed that Schiff base compounds cleaved DNA with Hydrogen peroxide. Additionally, the antibacterial action was tested by disc diffusion method. The efficiency of compounds was assessed against selected microbes. The result of minimum inhibitory concentration confirmed that trinuclear Schiff base metal compounds have got more efficiency. 03 30 2020 2283 2292 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2498.039520 https://www.ijitee.org/portfolio-item/E2498039520/ Associate professor, Department of CSE, Vignan Institute of Technology and Management, Berhampur, Ganjam, Odisha Dr. Sasmita Padhy Dr. Satya Narayan Tripathy Assistant Proffessor, Department of Computer Science, Berhampur University, Odisha. Er. Sisira Kumar Kapat Lecturer, Department of CSE/IT, Uma Charan Patnaik Engineering School, Berhampur, Odisha Dr. Susanta Kumar Das Reader, Department of Berhampur University, Odisha MIMO technology offers large improvements in data transfer and connection range no bandwidth extra or processing potential in wireless communication,. Multiple transmitters and receivers are used to simultaneously transfer enormous amounts of data. Using many antennas transmitting and receiving, efficiency can be enhanced for wireless communication systems operating in fading environments. But the key downside in the new MIMO scheme, due to multiple Radio Frequency chains, is increased complexity and high cost. A daunting incentive is the development of techniques to reduce hardware and computing costs of the systems with a huge amount of antennas. The optimum selection of the receiver antenna subset is a very effective approach to achieving this goal. Genetic algorithm is used in this paper to choose the receivers from the available set of antennas that would then be compared with an existing receiving antenna selection process. 03 30 2020 630 633 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2502.039520 https://www.ijitee.org/portfolio-item/E2502039520/ pursuing M.Sc. in Computer Science and Engineering at Daffodil International University, Dhaka, Bangladesh. Nargis Parven* Muhammad Rashiduzzaman Research Associate, Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh Nasrin Sultana pursuing M.Sc. in Computer Science and Engineering at Daffodil International University, Dhaka, Bangladesh. Md. Touhidur Rahman Assistant Programmer, Department of Computer Science and Engineering, University of Dhaka, Dhaka, Bangladesh. Md. Ismail Jabiullah Professor, Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh. Rice is one of the important food crops and the most staple food for half of the world population. Farmers are often faces several obstacles in paddy production because of various paddy leaf diseases. As a result, rice production is extensively reduced. For finding the paddy plant leaf diseases, there are many techniques are available in the computer vision-based area. Now, it is the main concern to fast and accurate recognition of paddy plant diseases in the initial stage. For this reason, we proposed a better approach for early paddy plant leaf disease detection by using simple image processing and machine learning techniques. There are four types of paddy leaf diseases are highlighted in this paper; which are Brown Spot, Sheath Blight, Blast Disease and Narrow Brown Spot. To do this, at first the required normal and diseased paddy plant leaf images are captured directly from different paddy fields. The unnecessary background of the leaves images are eliminated by using mask in the pre-processing section. Then output is fed into the segmentation part where K-means clustering is used to separate the normal portion and diseased portion of the leaf images. Finally, the mentioned diseases are classified using Support Vector Machine (SVM) algorithm. The accuracy of the system is 94%. This technique can be also applied anywhere in the agriculture industry for plant leaf diseases detection. 03 30 2020 634 638 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2509.039520 https://www.ijitee.org/portfolio-item/E2509039520/ M.tech Scholar, Electrical & Electronics, Christ (Deemed to be University), Bangalore, India. Priyanka Patil* Dr.Usha Surendra Electrical & Electronics, Faculty of Engineering Christ University, Bangalore, India. At present the green environment plays a crucial part in fighting against the global warming. The Electric Vehicles which are eco-friendly provides the solution for these environmental issues which promotes low carbon emission. In the present scenario variation of the power flow and voltage profile at specific nodal junctions in a radial distribution system, when Electric Vehicle has been connected as a load is essential This paper shows the potential drop analysis on a distribution system with Electric Vehicle as a load. The results provide the total real power loss, total reactive power loss occurs in the radial test bus system and the voltage magnitude at nodes for an IEEE standard bus system. The Backward/Forward sweep method has been implemented on IEEE test bus radial distribution system. Various types of loads such as residential, commercial, and industrial with Electric Vehicles are considered for testing. The results indicate that a drop in voltage when Electric Vehicles has been integrated into the grid along with other consumers. The programming results has been compared with standard values and found to be satisfactory. Suggestions’ for improving the voltage profile had also included in this paper. 03 30 2020 1899 1903 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2512.039520 https://www.ijitee.org/portfolio-item/E2512039520/ Department of Computer Engineering, G. B. Pant University of Agriculture and Technology, Pantnagar, India. Dinesh Bafila* Dr. Rajeev Singh Department of Computer Engineering, G. B. Pant University of Agriculture and Technology, Pantnagar, India. The Technology interventions have affected the agriculture production in positive manner. The Unmanned Aerial vehicles (UAVs) or drones are the latest addition in this domain. These UAVs or drones hover around in the target area and provide images of the field including crops and vegetations. Analysis of these images is done at the later stage which provides an insight into what can be done to improve the crop production. The major research areas in the use of UAVs/drones for improving the agriculture are: (1) line identification in tree orchards, (2) spraying of pesticides, (3) field data collection of various parameters like temperature, humidity etc. (4) differentiating between weeds and crop plants (5) crop health monitoring (6) harvest size monitoring (7) precision agriculture (8) smart agriculture and (9) safeguarding crop. In this paper, we listed, compared and reviewed the present research works involving drones in agriculture. This review will help to solve the farmers problems using drones and will also help in understanding the successful case studies of drones in agriculture domain. 03 30 2020 639 644 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2516.039520 https://www.ijitee.org/portfolio-item/E2516039520/ School of Mathematical Science, Faculty of Science and Technology, Universiti Kebangsaan Malaysia. Faculty of Computer and Mathematical Science, Universiti Teknologi MARA Campus Seremban, 70300 Seremban, Negeri Sembilan, Malaysia, Zahari Md Rodzi Abd Ghafur Ahmad* School of Mathematical Science, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi, Selangor, Malaysia. In this research, we suggest the theory of FPHFLTSSs. This theory is combination of hesitant fuzzy linguistic term soft sets (HFLTSSs) and weights of criteria in the set namely fuzzy parameterized where all the information are given in a single set. Then, we address several related concepts and the fundamental operations of this theory, namely the addition, union and intersection. In addition, we introduce the concept of scores in FPHFLTSSs based on arithmetic mean, geometry mean, and fractional of FPHFLTSSs. Next, we introduce the concept of distance between two FPHFLTSSs based on these scores which can be used in TOPSIS approach. Three algorithms are introduced to cater some problems in algorithm discovered in previous study. The first algorithm is an easy and simple step without transforming hesitant linguistic fuzzy elements into hesitant fuzzy elements. This second approach is the extended version of Liu et al. in which they suggested their positive ideal solution (PIS) distance algorithm. For the third algorithm, we suggest FPHFLTSS's arithmetic mean distances, geometry mean, and fractional distances in TOPSIS approach. Lastly, these algorithms are used for the issue of decision making in FPHFLTSSs environment to show the feasibility and efficiency of our methods. 03 30 2020 909 916 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2519.039520 https://www.ijitee.org/portfolio-item/E2519039520/ Department of Computer Science and Engineering, Francis Xavier Engineering College, Tirunelveli, India. P. J. Beslin Pajila Jenifer P. Department of Computer Science and Engineering, Francis Xavier Engineering College, Tirunelveli, India. Karpagavalli C.* Department of Computer Science and Engineering, St.Mother Theresa Engineering College, Tuticorin, India. Angeline Valentina Sweety A. Department of Computer Science and Engineering, Francis Xavier Engineering College, Tirunelveli, India. Muthu Lakshmi R. Department of Computer Science and Engineering, Francis Xavier Engineering College, Tirunelveli, India. Safety has become enormously important with the proliferation of internet of Things(IoT) technologies. Most of the IoT devices are linked with the DDoS attack, there are many risk nowadays for IoT because of DDoS attack.The new software-defined everything(SDx) model offers a way to handle IoT devices securely. The proposed S-IOT framework consists of a pool that includes S-IoT controllers, S-IoT switches and IoT devices. A new ENeFS algorithm is proposed to identify and reduce the DDoS attack. The proposed algorithm uses neuro fuzzy instruct rule to identify the DDoS attack and the number of data packets count also considered for the identification. The simulation results shows that the proposed algorithm performs better to improve the reliability of the IoT with different and unsafe gadgets. 03 30 2020 739 745 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2521.039520 https://www.ijitee.org/portfolio-item/E2521039520/ Assistant Professor, Electronics and Communication Engineering, Dr MGR Educational and Research Institute, Chennai, India. B. Swapna* M. Kamalahasan Research Engineer, Advanced Research Institute, Dr MGR Educational and Research Institute, Chennai, India. Rishi Mishra UG Scholar, Dr MGR Educational and Research Institute, Chennai, India Dipankar singh UG Scholar, Dr. MGR Educational and Research Institute, Chennai, India Adnan umar mallick UG Scholar, Dr MGR Educational and Research Institute, Chennai, India Because of the extensive expense of semiconductor fabricating, most framework on-chip structure organizations redistribute their generation to seaward foundries. As a large portion of these gadgets are fabricated in situations of constrained trust that regularly need suitable oversight, various diverse dangers have risen. These incorporate unapproved overabundance of the ICs, offer of out-of-determination/rejected ICs disposed of by assembling tests, robbery of scholarly property, and figuring out of the structures. The Boolean calculations are effectively break key-based confusion techniques and therefore go around the essential destinations of metering and confusion. In this research paper, we present an innovation secure cell plan for executing the structure for-security foundation to avoid releasing the way to a foe under any conditions and produce fault free integrated circuit design. Our proposed structure is impervious to different known assaults at the expense of a next to no region overhead. This Proposed Framework Actualized utilizing Verilog HDL also recreated by Modelsim 6.4 c and Integrated by Xilinx device. 03 30 2020 715 720 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2525.039520 https://www.ijitee.org/portfolio-item/E2525039520/ Associate Professor, Department of Information Technology, MVGR College of Engineering, India. Pavan Kumar Tadiparthi* Pradeep Kumar Bheemavarapu Student, Department of Information Technology, MVGR College of Engineering, India One of the most deadly diseases in the world is Heart Disease. The dysfunctionality of the heart at the early stage can be detected using iridology. The study of iridology describes the structure of the human iris as an observation of the condition of organs in the body. In this article, we explore the heart condition through a series of stages such as iris localization, segmentation, extraction of region of interest, histogram equalization and classification using convolutional neural network. The results are evaluated using various quality metrics such as precision, recall, f-score & accuracy. 03 30 2020 528 531 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2526.039520 https://www.ijitee.org/portfolio-item/E2526039520/ Assistant Professor, Department of Master of Computer Applications, Bangalore Institute of Technology, Bengaluru, India. Madhu H. K.* Dr. D. Ramesh Professor and HOD, Sri Siddaratha Academy of Higher Eduction, Tumkur, India. An accurate diagnosis of the healthcare-based Big Data will always demand a significant level of quality in its input data itself, which is a serious level of concern in the area of healthcare analytics. Review of existing approaches shows that there has been various learning-based approaches being used for disease diagnosis which often ignores various issues viz. data aggregation, presence of error prone data, accuracy etc. Therefore, this paper presents a novel framework which offers cost effective modeling of the aggregation process of healthcare-big data followed by facilitating solution towards identifying and rectifying all the positions within a database system where there are presence of an error. The proposed system offer a mechanism where the error-prone data has been identified and substituted with data of better quality in order to offer better analytical outcomes. The study offers a strong baseline in order to leverage the data quality in healthcare big data. 03 30 2020 1373 1379 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2528.039520 https://www.ijitee.org/portfolio-item/E2528039520/ Associate Professor, Department of Electronics and Communication Engineering, Aditya Institute of Technology and Management (AITAM), Tekkali, Srikakulam, Andhra Pradesh, India. Dr. Karedla Chitambara Rao For digital signal processing, communication systems and VLSI design architectures, an efficient FIR filter is required to eliminate the noise signals. To design an efficient FIR filter, the minimization of two parameters is required such as side lobe attenuation and power. These two parameters can be achieved by designing a FIR filter with the help of Fractional Fourier Transform (FrFT) and Canonical Signed digit (CSD) algorithm. In this work, Finite Impulse Response (FIR) low pass filter is designed by using both FrFT and ordinary Fourier Transform (FT) methods and their frequency responses are compared in terms of side lobe attenuation (SLA). After comparison of both methods, the better results are obtained for an FrFT based design of FIR low pass filter. Apart from this, the FrFT based design of FIR low pass filter is realized in direct form architecture and implemented in VLSI. Further, the Canonical Signed digit (CSD) algorithm is applied for the multiplication process in the architecture implementation to minimize the power consumption. Moreover, frequency response of FIR low pass filter is obtained by using MATLAB software and simulation and synthesis results are obtained by using Xilinx 13.1 ISE. 03 30 2020 1380 1383 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2530.039520 https://www.ijitee.org/portfolio-item/E2530039520/ Department of Computer Science, Sukkur IBA University, Pakistan Abdul Rehman Gilal* Ahmad Waqas Department of Computer Science, Sukkur IBA University, Pakistan. Aeshah Alsughayyir Department of Computer Science, Taibah University, Kingdom of Saudi Arabia. Sajid Khan Department of Computer Science, Sukkur IBA University, Pakistan. Ahsanullah Abro Department of Computer Science, Sukkur IBA University, Pakistan. Mazni Omar School of computing, Universiti Utara Malaysia, Malaysia. Database system (DB) is one of the most important courses in computer science and software engineering disciplines. This course demands expertise in problem-analysis and problem-solving skills. Teaching problem-analysis and problem-solving skills is not an easy job. However, visual or mind mapped teaching methods are found effective during teaching such skills. Hence, the objective of this study is to measure the impact of mind mapping, one of the visual, method in teaching and learning DB course. The empirical data are collected by using experimental research approach. Total 68 students of 4th semester participated in the experiment from DB course offered in computer science and software engineering disciplines. All the students were exposed to descriptive teaching method and mind-mapped teaching method on the course topics. Based on the results, the mind-mapped teaching method is found effective in teaching and learning DB course. Additionally, girl students appeared more effective in yielding positive results than boy students during mind mapped taught classes. Finally, apart from fewer limitations, this study recommends certain future guidelines for better understanding and development in the very topic. For instance, age and culture based mind-mapped analysis may be considered for computer science and software engineering major courses as a future research. 03 30 2020 746 750 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2531.039520 https://www.ijitee.org/portfolio-item/E2531039520/ Assistant Professor, Department of ECE, Vignan Institute of Science and Technology, Bhuvanagiri, Telangana, India. Gondhi Navabharat Reddy A Navya Assistant Professor, Department of ECE, Vignan Institute of Science and Technology, Bhuvanagiri, Telangana, India. D Kiran Kumar Assistant Professor, Department of ECE, Vignan Institute of Science and Technology, Bhuvanagiri, Telangana, India. Sruthi Setlam Assistant Professor, Department of ECE, Vignan Institute of Science and Technology, Bhuvanagiri, Telangana, India Natasha Saude Assistant Professor, Department of ECE, Vignan Institute of Science and Technology, Bhuvanagiri, Telangana, India. In wireless sensor networks, localization is a way to track the exact location of sensor nodes. Occasionally node localization may not be accurate due to the absence or limitation of anchor nodes. To reduce the mean localization error, soft computing techniques such as BAT and bacterial foraging driven bat algorithm (BDBA) are utilized in literature. For better localization with reduced error, in this paper, firefly driven bat algorithm (FDBA) is proposed, which combines the heuristic of firefly and BAT algorithms. Our proposed FDBA algorithm provides better localization in terms of error of 60% and 40 % less error as compared to BAT and BDBA algorithm, respectively. 03 30 2020 2397 2401 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2533.039520 https://www.ijitee.org/portfolio-item/E2533039520/ pursuing Ph.D in in I.K. Gujral Punjab Technical University. Anubha Dr. Ravneet Preet Singh Bedi serving as Joint Registrar in I.K. Gujral Punjab Technical University, Kapurthala. Mobile Adhoc Networks (MANETs) is one of the fastest growing research areas in the field of communications technologies. The constant movement of the nodes in such networks leads to topological changes which causes link breakages among the nodes. The existing work focuses on optimizing the path from source to destination using simple ant colony optimization without focusing on improving the energy consumption or reducing the link breakages. The proposed work considers different parameters such as Pheromone Value, Euclidean distance, Residual energy and mobility of the nodes into account while optimizing the route of the mobile ad hoc network. The proposed system has been implemented using NS2 and the performance has been analyzed based on remaining energy of the network, packet drops, packet delivery ratio, throughput and end to end delay. Experimental results indicate increased performance of the network against current techniques. 03 30 2020 1528 1533 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2536.039520 https://www.ijitee.org/portfolio-item/E2536039520/ Department of Computer Science and Engineering, Jawaharlal Nehru Technological University Hyderabad (JNTUH), Hyderabad, Telangana. Seyed Amin Ahmadi Olounabadi* Avula. Damodaram Department of Computer Science and Engineering, Jawaharlal Nehru Technological University Hyderabad (JNTUH), Hyderabad, Telangana. V Kamakshi Prasad Department of Computer Science and Engineering, Jawaharlal Nehru Technological University Hyderabad (JNTUH), Hyderabad, Telangana PVS SRINIVAS Department of Computer Science and Engineering, Sreenidhi Institute of Science and Technology, Hyderabad, Telangana. Mobile Ad hoc Network (MANET) is essentially a framework much less network. It carries out certainly not demand any kind of predetermined network. Every nodule is serving as a recipient and also a transmitter. All the nodules in the MANET are essentially taken on as functioning within a welcoming as well as collaborative network circumstance. There is essentially no base station to handle the relocating gadgets. There is essentially no safety to guard the nodules. Any kind of nodule may function as a misbehaving nodule. Such uncooperative habits may significantly diminish network efficiency as well as might also cause complete interaction failure. The destructive nodules may effortlessly assault the mobile nodules. In this particular newspaper, our experts have essentially suggested an Intrusion Detection System through which the harmful nodules are essentially spotted and also certainly there due to the functionality of the network are going to be essentially raised. 03 30 2020 1095 1098 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2538.039520 https://www.ijitee.org/portfolio-item/E2538039520/ Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India. Chayan Paul Pronami Bora Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India. Digit speech recognition refers to the task of identifying the English digit spoken in a particular utterance by an unknown speaker. The conventional methods used for the recognition of digits in speech are based on robust pattern recognition techniques which deal with the statistical parameters of speech. HMM, GMM and dynamic programming techniques are some of the methods. This paper presents recognition of digits using HTK Toolkit which is based on Hidden Markov Model using MFCC. The digit speech database of this work was collected in real time from both male and female speakers and the transcription of the total collected data was done using Wavesurfer. 03 30 2020 917 921 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2540.039520 https://www.ijitee.org/portfolio-item/E2540039520/ Department of Computer Science and Engineering, Mar Athanasius College of Engineering, Kothamangalam, Kerala, India. Ansa Baiju* Juliet Johny Department of Computer Science and Engineering, Mar Athanasius College of Engineering, Kothamangalam, Kerala, India. Linda Sara Mathew Department of Computer Science and Engineering, Mar Athanasius College of Engineering, Kothamangalam, Kerala, India. Drugs, also known as medicines cure diseases by interacting with some specific targets such as proteins and nucleic acid. Prediction of such drug-target interaction pairs plays a major role in drug discovery. It helps to identify the side effects caused by various drugs and provide a way to analyze the chances of usage of one drug for various diseases apart from the one disease that is predefined for that drug. However, existing Drug Target Interaction prediction methods are very expensive and time consuming. In this work, we present a new method to predict such interactions with the help of bipartite graph, which represents the known drug target interaction pairs. Information about drug and target are collected from various sources and they are integrated using Kronecker Regularized Least Square approach and Multiple Kernel Learning method, to generate drug and target similarity matrices. By integrating the two similarity matrices and known DTIs a heterogeneous network is constructed and new DTI predictions are done by performing Bi Random walk in it. 03 30 2020 922 927 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2541.039520 https://www.ijitee.org/portfolio-item/E2541039520/ Dept. of Computer Science and Engineering, Mar Athanasius College of Engineering, Kerala Technical University, Kerala, India. Sahla Sherin O* Anna Joshy Dept. of Computer Science and Engineering, Mar Athanasius College of Engineering, Kerala Technical University, Kerala, India. Neethu Subash Dept. of Computer Science and Engineering, Mar Athanasius College of Engineering, Kerala Technical University, Kerala, India. The security and accountability issues are a challenge to the traditional structure from still widespread elections. General e-voting system use a centralized system, where one organization manages overall system. These organisations have full control over the database and system, allowing manipulation of the database. There should be no e-voting system to secure data and potential attacks should be able to withstand. Blockchain technology should solve certain voting problems. In this paper we are implementing an ethereum blockchain based electronic voting system. Ethereum blockchain networks are used to transfer money and store data. Networks are organized by one or more machines. Every node is a machine that running an ethereum client. The eligible one can run the node. By adopting blockchain in e-voting system database distribution, one of the cheating sources of database manipulation and data loss can be reduced. This can be a better solution for the currently existing issues over rigging the electronic voting machines to win elections by the political parties in our government. 03 30 2020 1677 1681 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2542.039520 https://www.ijitee.org/portfolio-item/E2542039520/ ECE, B.V.R.I.T, Narsapur, Medak, INDIA. Anusha. K* M.C Chinnaaiah ECE, B.V.R.I.T, Narsapur, Medak, INDIA. Divya vani G ECE, B.V.R.I.T, Narsapur,b Medak, INDIA. Kishore Vennela ECE, B.V.R.I.T, Narsapur, Medak, INDIA Mudasar Basha ECE, B.V.R.I.T, Narsapur, Medak, INDIA The research contribution is increasing in the field of autonomous spacecraft. The major role contributes to the navigation methods for spacecraft. The intended control design is required precision mirror rate sensor (PMRS) to maintain positioning and stability of the satellite. One major drawback of the PMRS resides in the lock in effect, by which the sensor is not capable of sensing the rotation at low inertial angular rates. In the proposed work due to the uniqueness, it is able to sense the rotation even at the low inertial angular rates. The frequency control loop has been designed, it generates the resonance frequency using dither motor. The frequency control loop of the PMRS, is developed using a 32 bit MICROBLAZE soft core processor along with PID algorithm and same is executed using Xilinx Spartan 6 FPGA. 03 30 2020 1534 1539 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2544.039520 https://www.ijitee.org/portfolio-item/E2544039520/ ECE, B.V.R.I.T, Narsapur, Medak, India. P. Asharani* M.C Chinnaaiah ECE, B.V.R.I.T, Narsapur, Medak, India. T. Keerthi ECE, B.V.R.I.T, Narsapur,B Medak, India. T. Sirisha ECE, B.V.R.I.T, Narsapur, Medak, India. Sanjay Dubey ECE, B.V.R.I.T, Narsapur, Medak, India. This paper illustrates the design of low power and high-speed operational Amplifier using Nanoscale Transistors. The proposed design introduces biasing block, for generating I=10uA for Channel length=180nm Technology. Adding biasing block to two-stages operational Amplifier current is constant i.e. there are no fluctuations in power supply, increase in bandwidth and power dissipation is less as compared the previous result. The design is simulated in p-spice tool and performed AC analysis. After analysis, the design achieved the parameter like Gain = 40db, Phase Margin=90º, Unity Gain Band Width=13MHz, Output Swing=0.1v to 1.7v and Power Dissipation=0.145mW. 03 30 2020 1540 1544 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2545.039520 https://www.ijitee.org/portfolio-item/E2545039520/ Department of Electronics and Electrical Drives Branch in G.Narayanamma Institute of Technology and Science (G.N.I.T.S), Hyderabad, India. Chilla Soumya* Ranuva Nageswara Rao Associate Professor, Department of Electrical and Electronics Department at G. Narayanamma Institute of Technology and Science (G.N.I.T.S), Hyderabad, India. The analysis and controlling of harmonics in a doubly fed induction generator (DFIG) is studied under the unsymmetrical fault conditions in MATLAB/SIMULINK software. The proposed DFIG uses wind energy as the primary source for which is used for power generation. Wind energy is a non-polluting renewable energy resource that is available free of cost but when the wind is used, harmonics are introduced into the power system, so voltage imbalances occur in the grid. In order to mitigate the voltage imbalances (or) ripples in the voltage or current, LCL filters are introduced in the wind turbine because they are chiefly used for high power and low-frequency applications. Various unsymmetrical faults are simulated by referring the specifications selected and analysed with the tripping time for the desired duration of time in the circuit breaker, voltage and current waveforms are analysed only during the transient period on the basis of FFT analysis to know about THD content. 03 30 2020 928 936 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2546.039520 https://www.ijitee.org/portfolio-item/E2546039520/ Research Scholar, Department of Computer Science, Mother Teresa Women’s University, Kodaikanal, India. P. Uma* S. Vimala Associate Professor, Department of Computer Science, Mother Teresa Women’s University, Kodaikanal, India. Now-a-days, data protection has become inevitable for confidential transactions that happen over net. Transmission of such confidential data has become a challenging issue in today’s scenario. Many Data Hiding techniques are used for transmitting data in a secured way. The secret data can be hidden as part of any type of file such as Text file, Sound file, image file, Video file, etc. It has been proposed to hide secret data as part of cover image. The proposed work adopts Vector Quantization (VQ) which is one of the powerful and simple image compression techniques to compress the size of the cover image and to reduce the cost associated with storage/transmission. VQ transforms the cover image into its corresponding Codebook and IndexMap. The confidential data is then embedded as part of the Codebook and IndexMap. The proposed method helps in improving the performance by increasing the embedding capacity and coding efficiency. The performance of Steganography is improved in three levels. The embedding capacity of the proposed method is increased by 23,726 bits when compared to that of existing similar methods, which is a significant improvement. 03 30 2020 801 807 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2547.039520 https://www.ijitee.org/portfolio-item/E2547039520/ currently pursuing bachelor degree program in Electrical and Electronics Engineering in National Engineering College, India S. J. Shanmugavel* L. Siva Balaji currently pursuing bachelor degree program in Electrical and Electronics Engineering in National Engineering College, India, P. Siva Sankar currently pursuing bachelor degree program in Electrical and Electronics Engineering in National Engineering College, India, K. Subash currently pursuing bachelor degree program in Electrical and Electronics Engineering in National Engineering College, India K. Gowthami currently working as an Assistant Professor in department of Electrical and Electronics Engineering in National Engineering College, India In cities mostly husband and wife are working to leads their day to day life. Generally they are having irregular and long working times. Due to long working time they may not able to do their house works properly. So in this paper, to reduce part of the work of couples at home, an autonomous robot is proposed to clean the table automatically. Nowadays robots are involved in most of the activities in which human cannot be involved and also involved in activities which human can perform. An autonomous device which performs cleaning operation based on the commands received from the controller. It can do sucking and mopping tasks and obstacle detection duties on the table. Sensors are used to avoid the robot dropping down from the table. Sensors and motors are connected to the input/output ports of the controller. Robot roams around the table, if any obstacles available on the table it sucks and spray water to clean the surface. Wiper based wheels are attached with the robot to remove dust on the surface. 03 30 2020 1253 1256 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2550.039520 https://www.ijitee.org/portfolio-item/E2550039520/ Master of Engineering, Department of Mechanical Engineering, NITTTR, Chandigarh, India. Chandrakant Chaturvedi* Dr. P. Sudhakar Rao Assistant Professor, Department of Mechanical Engineering, NITTTR, Chandigarh, India. This paper is focused on reviewing previously carried out work and written in literature. Non- conventional abrasive water jet technology is being utilized to machine variety of metals, their respective alloys and nonmetals. Mainly concentrated on Titanium alloys and difficulty in its machining. Numerous variables associated with the technology and their consequence on response variable were analyzed and summarized in this review. Paper conclude numerous gaps in research along with future scope. 03 30 2020 1384 1391 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2558.039520 https://www.ijitee.org/portfolio-item/E2558039520/ Department of Computer Applications, CMS College of Science & Commerce, Coimbatore, India N. Rajinikanth Dr. L. Pavithra Department of Computer Science, Dr. N. G. P. Arts & Science College, Coimbatore, India. Cardiovascular disease (CVD) is possibly the greatest reason for casualty and death rate among the number of inhabitants on the planet. Projection of cardiopathy is viewed as one of the most crucial subjects in the area of clinical records exploration. The measure of information in the social insurance industry is massive. The Data mining process transforms the huge range of unrefined medical service data into meaningful information that can lead to erudite decision and projection. Some recent investigations have applied data exploratory procedures too in CVD estimation. However, only very few studies have revealed the elements that play crucial role in envisioning CVDs. It is imperative to opt for the combination of correct and significant elements that can enhance the functioning of the forecasting prototypes. This study aims to ascertain meaningful elements and data mining procedures that can enrich the correctness of foretelling CVDs. Prognostic models were formulated employing distinctive blend of features selection modified teaching learning optimization techniques, SVM and boosting classification. Here the proposed strategy gives high precision outcomes with existing classification. 03 30 2020 808 813 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2559.039520 https://www.ijitee.org/portfolio-item/E2559039520/ HOD, Department of EEE, Vivekanandha college of technology for women, Tiruchengode, India. Dr. B. Gopinath* Mr. C. Shankar* Department of EEE, Vivekanandha college of technology for women, Tiruchengode, India. C. Jaya Meenakshi* EEE department, Vivekanandha college of technology for women, Tiruchengode, India. P. Meena* EEE department, Vivekanandha college of technology for women, Tiruchengode, India. K. Sudha* EEE department, Vivekanandha college of technology for women, Tiruchengode, India. The sweep frequency response analysis is extensively used technique for detect hidden fault and condition monitoring of power transformer. The operation is administered by supply a coffee voltage signal of varying frequencies to the transformer windings and measuring both the input and output signals. These two signals give the specified response of the ratio is named the transfer function of the transformer from which both the magnitude and phase are often obtained. Frequency response is change as measured by SFRA techniques may indicate a phase transition inside the transformer, then causes of fault identified and investigation is required for root cause analysis. 03 30 2020 1392 1395 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2563.039520 https://www.ijitee.org/portfolio-item/E2563039520/