-4d90550d17f4602e08916a6 20220629033546178 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 12 30 2019 9 2 Department of Civil Engineering, Government College of Engineering, Bodinayakkanur, Tamil Nadu.India. T. Venkataraman* Dr.N. Manikumari Department of Civil Engineering, FEAT, Annamalai University, Annamalainagar, Tamil Nadu.India. The present paper describes the application of GIS to study the spatial and temporal variations of some important water quality parameters in the Veeranam tank drainage basin of cuddalore district, Tamil Nadu, South India. The water quality parameters were depicted by various colour combinations for different ranges of concentrations. Twenty four (24) groundwater samples were collected from bore wells for two different seasons, pre monsoon in July 2015 and post-monsoon in January 2016. The collected water samples were analyzed for chemical constituents, such as chloride, sulphate, bicarbonate, carbonate, nitrate, sodium, potassium, calcium and magnesium in the laboratory, by following the standard procedures described by the American Public Health Association (APHA 1998). Spatial distribution map for Electrical conductivity, Hardness, Calcium, Magnesium, Sulphate and Chloride in pre-monsoon and post monsoon samples was generated by ArcGIS 9.3 software. The study implies that the quality of groundwater is generally good and potable in the nearby Veeranam lake and the quality becomes moderate as it passes away from Veeranam tank of the study area. 12 30 2019 3936 3941 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6863.129219 https://www.ijitee.org/portfolio-item/B6863129219/ Department of Engineering Education (DEEd), Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia. Nuryazmin Ahmat Zainuri* Noorhelyna Razali Department of Engineering Education (DEEd), Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia Haliza Othman Department of Engineering Education (DEEd), Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia Alias Jedi Department of Mechanical Engineering and Manufacturing, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia. Noraishikin Zulkarnain Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia. This study investigated the existence of long memory phenomenon in air pollutant concentrations specifically the ozone concentration obtained at six monitoring stations in Peninsular Malaysia. The main objective was to select the best method in detecting the long memory. Four methods used in this study were Rescaled Range (R/S) method, Aggregated Variance (V/S) method, Aggregated Absolute Value (A/S) method and Peng’s (P/S) method. Surrogate data testing was used to verify the existence of long memory. The average estimated Hurst value obtained by using VS and PS method are found to be near to the actual Hurst value compared to RS and AS method. The biased and MSE value also showed that the VS and PS method is the most appropriate method in estimating the H value. Based on the result obtained, it can be concluded that long memory exists in ozone concentration data used in the study. The VS and PS method are the best method in detecting the long memory phenomenon. 12 30 2019 752 757 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6868.129219 https://www.ijitee.org/portfolio-item/B6868129219/ Research Scholar and currently pursuing doctorate degree program in Mechanical Engineering in I.K.G. Punjab Technical University Kapurthalla, Punjab, India Jaspreet Singh* Dr. Sanjeev Saini Assistant Professor in Department of Mechanical Engineering, DAVIET, Jalandhar, Punjab, India The work reviewed here an overview of the current investigates about the machining of Aluminum metal matrix composite (MMC) which is major concern now a day’s industry. There is an increase demand of the development of advanced metals for many industrial applications, to complete such demands metal matrix composites are the right solution. Metal Matrix Composites (MMCs) have higher strength to weight ratio and their properties may be tailored as per the industrial requirements. The main purpose of machining is to produce a product of desired shape and size with specific quality and surface finish by removing a material in the shape of chips and it is affected by cutting parameters like feed rate and depth of cut also the selection of cutting tool plays a major role. However, MMC’s are highly abrasive and tools can wear rapidly, machining of these materials attracted researchers and industrial community a lot. So various tooling systems like Carbides, either plain or coated for tool of milling, drilling, and non-traditional methods of machining are also use to achieve the high durability, dimensional tolerances, functional requirements and surface quality of such materials after machining of MMCs. After machining analysis of the experimental data collected from various combination of analysis, methods are to be uses as ANN artificial neural network, analysis of variance (ANOVA) and TELBO techniques and Multilayer perceptron model will be constructed. On completion of the test, the techniques are to be used in authenticate the result found and to expect the behavior of the system. 12 30 2019 758 761 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6870.129219 https://www.ijitee.org/portfolio-item/B6870129219/ Krasnodar Research Center for Animal Husbandry and Veterinary Medicine, Krasnodar, Russia Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia. Nikolay Zabashta* Anton Nesterenko Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia. Anastasia Zabashta Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia. Viktor Guzenko Stavropol State Agrarian University, Stavropol, Russia. Evgeny Chernobay Stavropol State Agrarian University, Stavropol, Russia. As a result of the work, adequately new data were obtained on the change in the intestinal microbiocenosis of pigs during their entire life. The degree of influence of the probiotic, prebiotic and synbiotic on the change in the microbiocenosis of the intestines of pigs is determined. A scheme for the introduction of lactic starter cultures, "Baliz-V" and lactic starter cultures and "Baliz-V" together. The effect of the new diet on growth indicators, microbiocenosis, immunity and the quality of raw meat was studied. The positive effect of the synbiotic effect on the quantitative composition of lactic acid bacteria in the intestines of young pigs was 3-4 orders of magnitude higher than in the control. The use of a probiotic, prebiotic and synbiotic led to an improvement in intestinal microbiocenosis, strengthening the body's resistance, and an increase in live weight gain, respectively, by 8.4; 9.6 and 10.7%. 12 30 2019 762 765 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6872.129219 https://www.ijitee.org/portfolio-item/B6872129219/ Assistant Professor, Department of Management Studies, Sona College of Technology, Salem – 636 005 -Tamilnadu, India . Dr.D. Ganesan* Ms.Umaya Salma Shajahan Assistant Professor, Department of Management Studies, Sona College of Technology, Salem - 636 005 -Tamilnadu, India R. Kiruthika II MBA, Dept. of Management Studies, Sona College of Technology, Salem - 636 005 -Tamilnadu , India, Thestudy attempted to identify the factors influencing the effect of surrogate advertisements in the minds of the viewers. It also identified the association between the demographic profiles of viewers and the impact of surrogate advertisement. So many works have been done in surrogate advertisements whereas surrogate advertisements with respect to viewer’s opinion is very few especially in the Indian context.The study would empower the publicizing offices to comprehend and make innovative ads with the mix of the considerable number of components that would be received by the viewers. The research was descriptive in nature. The impact on viewers’ perception of surrogate commercials in the market was identified. In order to learn how the viewers’, perceive this study subject a questionnaire was created. It comprised of 20 statements to gauge the impact of the surrogate ads on viewers. Based on the cross-sectional sampling method, the non-probability sampling technique was applied. The survey was conducted using google forms and 300 samples were collected from June 2019 – Sep 2019. Various statistical tools like FactorAnalysis, One-way Analysis of Variance, Correlation Analysis and Garrett Ranking analysis were applied. The product manufacturers have to comprehend the needs of the viewers based on the personal profile of the users which may illuminate the client’s inclination in choosing the purchasing choice of any product. It will likewise be useful for other related bodies to understand the viewers’ preference and user’s psychology as far as receiving the message from the advertisements successfully. In viewers’ perception surrogate ads are informative and having entertainment element. 12 30 2019 4739 4746 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6874.129219 https://www.ijitee.org/portfolio-item/B6874129219/ Assistant Professor, Koneru Lakshmaiah Education Foundation, Guntur Vaddeswaram, India. Shilpa Itnal* Mathena Akhila B Tech, Department of Computer Science, K L university, Koneru Lakshmaiah Education Foundation, Guntur Vaddeswaram, India. Syed Sha Noorulla Khadri B Tech, Department of Computer Science, K L university, Koneru Lakshmaiah Education Foundation, Guntur, Vaddeswaram, India Vanukuri Meher Sreemaiee B Tech, Department of Computer Science, K L university, Koneru Lakshmaiah Education Foundation, Guntur Vaddeswaram, India. Agriculture is one of the most significant economic activity. They are many ways that leads to the low productivity of agriculture, but the best method to protect the crop is by detecting the diseases in the early stage. In most of the cases diseases are caused by pest, insects, pathogens which reduce the productivity of the crop at the large scale. If pests are detected on the leaves then, precautions should be taken to avoid huge productivity loss at the end. The main objective of this paper is to identify the pests using image processing techniques like Gaussian blur, segmentation, watershed separation, morphological operations. These techniques are more efficient and less time consuming while identifying the pests over the leaf image with high intensity. 12 30 2019 1496 1498 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6875.129219 https://www.ijitee.org/portfolio-item/B6875129219/ Assoc.Professor (Electronics and Communications Engineering) K L E F Guntur, India Ch. Raghava Prasad* Mallavelli Jaya SriNandan B.Tech Student (Electronics and Communications Engineering)K L E F Guntur, India Veerubhotla Surya Atchyuth B.Tech Student (Electronics and Communications Engineering) K L E F Guntur, India Siddana Phaneendra B.Tech Student(Electronics and Communications Engineering K L E F Guntur, India The management of the attendance can be an incredible weight on the instructors in the event that it is completed in registers. Determining this issue, keen and automatic attendance marking system by using the executive’s framework is being used. In any case, verification is a significant problem in this framework. Brilliant attendance framework is implemented commonly along with the assistance of soft biometrics. Acknowledgment of face is one of the updated biometric techniques this framework got to be enhanced. Being a principle element of biometric confirmation, facial acknowledgment feature has become most utilized enormously in a few such applications, similar to video observing and surveillance-based CCTV film framework, a connection between PC and people and admittance frameworks existing inside and in network security. By using this structure, the issue present in along with intermediaries, understudies also have been checking on the present despite the fact that they are not physically present can without much of a stretch be illuminated. The primary usage steps utilized regarding this sort of framework are facial discovery and perceiving the distinguished the different face of the people. This term paper recommends a perfect model for actualizing a computerized attendance the board framework in order to make understudies for a class by utilizing the procedure of acknowledgment-based face detection procedure, by means of utilizing Convolutional Neural Network (CNN), Max pooling. 12 30 2019 3942 3946 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6876.129219 https://www.ijitee.org/portfolio-item/B6876129219/ Research Scholar, Rayalaseema University, Kurnool. & Assoc. Professor, Dept of CSE, VEC, Kavali, A.P, India. Nukam Reddy Srinadh* Dr. B. Satyanarayana Professor in Computer Science &Technology., Sri Krishnadevaraya University, Anantapur ,A.P , India. As Mobile Ad hoc Networks (MANETs) are established using battery-powered nodes, the major concern to minimize the power consumption of the nodes is still a challenge while the lifetime of the network is taken into account. Thus, power-aware routing is the effective way to handle the situation that aims at minimizing the power consumption and network overhead in order to increase the network lifespan. Therefore, an effective power-aware secure routing protocol is designed using the proposed Fuzzy Krill Herd-based Grasshopper Optimization Algorithm (Fuzzy KH-GOA) such that the secure path is determined. Hence, it is evident that the routing path for transmitting the data packets is effectively decided using the proposed algorithm, which is based on the fitness parameters, such as fuzzy function, delay, distance, and power consumed by the path. The significance of this research relies on the link lifetime estimation for which the lifetime of the routes is detected in order to measure the link failure. The performance of the proposed Fuzzy KH-GOA reported the values of 23.858 J, 0.016 sec, 0.783, 0.840, and 10.908 sec, respectively in the absence of the attack and 22.624J, 22.624sec, 0.773, 0.812, and 9.862sec, respectively in the presence of attack for the measures, such as power, delay, Detection Rate (DR), throughput, and average Link Life Time. 12 30 2019 766 774 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6878.129219 https://www.ijitee.org/portfolio-item/B6878129219/ Department of Electronics and Communication, KLEF, Vaddeswaram , A.P , India K Durga Bhavani* N V V N J Sri Lakshmi Department of Electronics and Communication, KLEF, Vaddeswaram , A.P , India M Venkat Sai Department of Electronics and Communication, KLEF, Vaddeswaram , Andhra Pradesh , India. G D Sai Teja Department of Electronics and Communication, KLEF, Vaddeswaram , Andhra Pradesh, India. Vedic Mathematics is an ancient Indian algebra in which 16 sutras are used to measure. For excellent performance, most high-speed applications such as cryptography and digital signal processing need powerful and high-speed multipliers. Squaring is a specific case of multiplication. A specialized squaring device can greatly boost the measurement period and significantly reduce the delay. This study discusses the concept of a new square architecture utilizing Vedic-mathematics sutra "Yavadunam." The proposed method uses the amount deficit from the closest base to calculate every operand's circle. The square of a larger number of magnitude is reduced by this method to a smaller multiplication of magnitude and an addition operation. 12 30 2019 775 778 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6879.129219 https://www.ijitee.org/portfolio-item/B6879129219/ Pursuing M tech CSE from Beant College of Engineering and technology, PTU, Punjab Nitasha* Rajeev Kumar Bedi Associate Professor of CSE Dept. in BCET, Gurdaspur Punjab Dr. SK Gupta Professor of CSE Dept. in BCET Gurdaspur Breast Cancer is the second highest reason for the death rate among women as well as men too in world. In this paper, we used Data mining classification algorithms to find the presence of breast cancer whether it is benign or malignant and analysis is done on the basics of accuracy and time taken in build model. The data is collected from WISCONSIN of UCI machine learning Repository, which includes patient’s samples. The dataset undergoes different algorithm with and without feature selection. 12 30 2019 1499 1502 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6886.129219 https://www.ijitee.org/portfolio-item/B6886129219/ Doctoral student from the Institute of Pedagogical Sciences of Uzbekistan named after Kari Niyazi, Tursunov Diyor Sunnatovich* This article discusses techniques and methods of developing ideological competence in secondary school students. The article discuses question as theory of the formation of ideological competence and the theoretical, philosophical and pedagogical matters of upbringing students with the spirit of national ideology, research aimed at explaining the characteristics of information, ideological and psychological battles of ideology, the ideological threats to the population and the youth; the impacts of manipulation processes on personality development, globalization of "mass culture", and various aspects of ideological battles. 12 30 2019 789 783 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6887.129219 https://www.ijitee.org/portfolio-item/B6887129219/ ECE, Koneru Lakshmaiah Education Foundation (KLEF), Vijayawada, India. M. Hima Bindu* G. Navya ECE, Koneru Lakshmaiah Education Foundation (KLEF), Vijayawada, India. K.Veera Naga Lakshmi ECE, Koneru Lakshmaiah Education Foundation (KLEF), Vijayawada, India. Antenna arrays are prominently used in satellites, radars mobile and wireless communication systems. Design of an antenna array with minimum side projections is the crucial component for noise free communications. There are various nature inspired optimization method have been suggested to optimize the peak side projections. To overcome low solution accuracy and low convergence rate, we are using newly developed Cauchy mutated invasive and optimization (CMIWO) to minimize the peak side projection levels in the radiation pattern. CMIWO is adapted to reduce the amplitude of the each antenna element. We have used 24, 32, and 64 element linear array of antenna for the synthesis. Based on the results the CMIWO produces suggestive reduction in peak side projections when contrasted with other array of antennas. 12 30 2019 784 788 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6890.129219 https://www.ijitee.org/portfolio-item/B6890129219/ Candidate of Technical Sciences, Associate Professor of the Department of Oil and Gas Well Drilling of Institute of Oil and Gas of Siberian Federal University, Krasnoyarsk, Russia. Alexander L. Neverov* Leila S. Batalina Candidate of Chemical Sciences, Associate Professor of the Department of Chemistry and Technology of Natural Energy Sources and Carbon Materials of Oil and Gas Institute of Siberian Federal University, Krasnoyarsk, Russia Ekaterina I. Starostina Master's degree, the Department of Chemistry and Technology of Natural Energy Sources and Carbon Materials of Oil and Gas Institute of Siberian Federal University, Krasnoyarsk, Russia. Fyodor A. Buryukin Candidate of Chemical Sciences, Head of the Department of Chemistry and Technology of Natural Energy Sources and Carbon Materials of Oil and Gas Institute of Siberian Federal University, Krasnoyarsk, Russia The study of the interaction processes between polymer-based drilling fluids and clay rocks is essential. Careful selection of drilling fluid composition will allow you to avoid such complications during drilling as the bridge over, clogging of the bottom-hole zone with cuttings, reduction of the mechanical drilling speed, differential wall sticking, a fluid wash of the wellbore walls and core plugs, and drilling fluid losses. Various salts of alkali and alkaline earth metals are often used as clay swelling inhibitors, which can cause changes in the rheological properties of the drilling fluid on their addition at high concentrations. The paper presents the experimental results of determining the swelling value of the clay mineral illite in drilling fluids prepared on the basis of cationic (K-6729) and anionic (EZ-MUDDP) polymers with the addition of inorganic salts – potassium chloride, sodium chloride and sodium silicate. The rheology of the tested samples deteriorates when salts are added to polymer solutions. This fact is explained by the hydration of salts and water molecules binding to the hydration shells of electrolyte ions, as well as the destruction of hydrogen bonds in water's structure with an increase in its molecular mobility. The paper demonstrates that in a sodium silicate solution, the hydration and swelling of illite are significantly inhibited. Thus, the change in the linear dimensions of pressed clay powder tablets with different permeabilities in distilled water, potassium, and sodium chloride solutions amounted to 30%, while in sodium silicate solution it did not exceed 6.3%. However, compared to potassium and sodium chlorides, when sodium silicate as a clay inhibitor, then the rheological characteristics of the drilling fluid decrease less significantly. 12 30 2019 789 795 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6891.129219 https://www.ijitee.org/portfolio-item/B6891129219/ CSE Dept., Pragati Engineering College(A), Surampalem, Kakinada, A.P., India, Manas Kumar Yogi* V.Sri Anima Padmini B.Tech IV year Student,, CSE Dept., Pragati Engineering College(A) Surampalem, Kakinada, A.P., India. This paper throws enough exposure to reliable and optimal placement of advertisement by applying a nature inspired optimization technique. The grey-wolf optimizer helps us in determining how to assign web pages with relevant advertisements. Relevancy may increase by fine tuning the factors based on which our proposed mechanism is developed. We have taken into account fire major factors depending on which the optimizer is modeled. Later in this paper we have presented the robustness of each of this factor and how they influence the percentage of relevancy of advertisement placement 12 30 2019 796 799 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6892.129219 https://www.ijitee.org/portfolio-item/B6892129219/ Ph.D., Associate Professor, Tashkent institute of railway transport engineers, Republic of Uzbekistan. Saidkhon Salixanov* In given work is designed methods of the calculation liberally lying plate of the bridge from use of stressing concrete . Herewith voltages is determined on upper galley proof of the concrete , on lower galley proof of the concrete and in armature. 12 30 2019 800 802 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6893.129219 https://www.ijitee.org/portfolio-item/B6893129219/ North-Eastern Federal University named after M.K. Ammosov (NEFU), Yakutsk, Russian Federation Elena E. Noeva* Marina V. Solovyanova Southwest State University, Kursk, Russian Federation Pavel B. Lukyanov Financial University under the Government of the Russian Federation, Moscow, Russian Federation Anastasia E. Malkhasyan Don State Technical University, Rostov-on-Don, Russian Federation Galina V. Glazkova Financial University under the Government of the Russian Federation, Moscow, Russian Federation Anna A. Tubalets Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russian Federation Purpose. Studying the problems that impede economic growth, the authors consider it appropriate to consider the relationship between household income and gross domestic product. Design/Methodology/Approach: The following research methods were used: historical, statistical-economic, and monographic. Findings. The authors have revealed that the level of income of the population affects a number of macroeconomic indicators. The practical implications. An analysis of income, as a fundamental factor affecting the formation of human capital, indicates that significant human capital has been formed in the agricultural sector, which is not fully used due to the low material interest of the rural population. Originality/value: The article considers a number of factors that directly and indirectly affect economic growth. 12 30 2019 5094 5099 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6898.129219 https://www.ijitee.org/portfolio-item/B6898129219/ Assistant Professor, Department of Commerce, Bharata Mata College, Thrikkakara, Cochin, Kerala, India. Sujith AS* Deepthi Laiju Assistant Professor, Department of Commerce, Bharata Mata College, Thrikkakara, Cochin, Kerala, India. Social Media has undoubtedly become a powerful tool among the students. Social Media provides them the freedom to do whatever they want, to find new friends, to interact with people, to share information and knowledge and to create profile or identities. Social networking sites provide students with a new platform for learning but it also has a darker side of which if one is not aware of can bring potential dangers. The youth spent long hours on different social media platforms which has affected their academics, impaired their sleep patterns ,missed out their schools and meals and often produces stress, anxiety and fear about their identities. Students are also entrapped by the ploys of social networking. This happens when it develops an addiction in them that inculcates bad habits. So the students should be educated properly regarding the usage of Social Media and develop the cognitive and intuitive ability to analyze how much they want to spend on the different platforms in Social Media. Most of the studies conducted examine the impact of social networking sites on the academic performance of students. This study focuses on the usage of Social Media and its perceived impact on the social life of students in Kerala. 12 30 2019 863 867 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6903.129219 https://www.ijitee.org/portfolio-item/B6903129219/ Department of Electronics and Communication Engineering, C.U.Shah University, Surendranagar, Gujarat, India. S.Suganthi Amudhan* Dr.Bhavin Sedani Department of Electronics and Communication Engineering, L.D.College of Engineering, Ahmedabad, Gujarat, India. Dr.Ved Vyas Dwivedi Pro Vice Chancellor, C U Shah University Wadhwan City.Surendranagar Gujarat, India. Reinforcement Learning is a concept in which an agent takes actions in an environment to maximize its aggregate reward. Agents in Reinforcement Learning algorithms are penalized for bad actions and rewarded for good ones. Deep Reinforcement learning is used to overcome some shortcomings in Reinforcement learning like lack of variety in the open source collection and change in task’s difficulty based on reward or set of actions. In a larger environment, inference of new states from already explored states is a difficult task due to its time & space complexity. Hence the Q-value function which represents the quality value is approximated by Deep Q-learning that uses a neural network for the same. The results of implementing Deep Q Learning (DQN), Double DQN, Dueling DQN, Noisy DQN & DQN Prioritized Experience Replay techniques & their performance in stabilization of inverted pendulum are highlighted in this paper. Deep Reinforcement learning can be applied in various platform like for recognition, perception in computer vision, for simulation to real robot control in robotics, for sequence generation, translation in Natural Language processing, for Poker, Bridge StarCraft in games, for pricing, trading risk management in finance, for e- commerce, customer management in business management, for diagnosis using Electronic Medical Records in healthcare and in adaptive decision control. 12 30 2019 803 807 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6904.129219 https://www.ijitee.org/portfolio-item/B6904129219/ Department of Mathematics, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, AP - 522502, India. Vedavathi. N* Balamurugan. K.S. Department of Mathematics, RVR & JC College of Engineering, Chowdavaram, Guntur, Andhra Pradesh, 522019, India Dharmaiah. G Department of Mathematics, Narasaraopeta Engineering College, Yellamanda, Narasaraopet, Andhra Pradesh, 522601, India. Venkata Subrahmanyam. Sajja Department of Mathematics, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, AP - 522502, India. M. Sreenivasa Kumar Professor, Department of Mechanical Engineering, Narasaraopeta Engineering College, Yellamanda, Narasaraopet, A.P., 522601, India. This paper focuses on unsteady, two-dimensional, flow boundary layer of a incompressible viscous electrically conducting and absorbing heat fluid along a semi-infinite vertical moving permeable plate in the presence of Chemical reaction and radiation effects. The dimensionless equations are analytically solved using perturbation procedure. The effects of the different flow fluid parameters on velocity, temperature and concentration fields with in the boundary layer have been examined with the help of graphs. 12 30 2019 808 813 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6905.129219 https://www.ijitee.org/portfolio-item/B6905129219/ Department of CSE, Bangalore University,Bangalore, India Radhika K R* Pushpa C N Department of CSE, UVCE, Bangalore University, Bangalore, India. Dr.Thriveni J Department of CSE, UVCE, Bangalore University, Bangalore, India. Dr. Venugopal K R, Vice-Chancellor Bangalore University, Bangalore, India. Dimensionality reduction is one of the pre-processing phases required when large amount of data is available. Feature selection and Feature Extraction are one of the methods used to reduce the dimensionality. Till now these methods were using separately so the resultant feature contains original or transformed data. An efficient algorithm for Feature Selection and Extraction using Feature Subset Technique in High Dimensional Data (FSEFST) has been proposed in order to select and extract the efficient features by using feature subset method where it will have both original and transformed data. The results prove that the suggested method is better as compared with the existing algorithm 12 30 2019 814 820 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6907.129219 https://www.ijitee.org/portfolio-item/B6907129219/ Research Scholar, Dept. of CSE, University College of Engineering, Acharya Nagarjuna University,Guntur, Andhra Pradesh, India. Janga Vijay Kumar* Prof E Srinivasa Reddy Professor & Dean, Dept. of CSE, University College of Engineering, Acharya Nagarjuna University,Guntur, Andhra Pradesh, India. Epilepsy is a chronic disorder and has the propensity of two or more brain. Analysis of EEG is the primary method for the diagnosis of epilepsy. Contamination of eye movement and blink artifacts presence in EEG data becomes more complicated to the doctors during the diagnosis period. Earlier detection of these artifacts gives a significant advantage of refining the Epilepsy identification process. In this regard, a robust subspace detection method is applied to detect the target signal in noise with possible interference-artifacts, then a dimensionality reduction model, with the combination of fast Independent and Robust Principal Component Analysis (FICA and rPCA) is implemented for identification of artifacts from EEG brain recordings. To perform this the proposed detection method uses synthetic data and artifact contaminated data. The extracted target subspace signal is considered as the input for rPCA and FICA. The ROC analysis is developed as a standard methodology to quantify the detectors' ability to correctly distinguish the target of interest (artifacts) from the background noise in the system. 12 30 2019 3947 3951 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6909.129219 https://www.ijitee.org/portfolio-item/B6909129219/ Department of Computer Science and Engineering, Visvesvaraya Technological University, Belagavi, India. Usha Kirana S P* Demian Antony D’Mello Department of Computer Science and Engineering, Canara College of Engineering, Mangaluru, India. Cloud Computing provides the sharing ability and access for available cloud host and various distributed environments, namely Load Balancing (LB), virtualization technologies and scheduling techniques. The satisfaction of both users and cloud providers are the major issues for effective LB and task scheduling algorithms in cloud resource management, where the requirements namely high resource utilization, low monetary costs and minimum makespan. Many researchers tried to develop various heuristic and meta-heuristic algorithms to attain the aforementioned user requirements. But, when the number of tasks grows exponentially, these algorithms failed to achieve LB, lower running time, and it faces the high time complexity. In this research work, a KD-Tree algorithm is developed to address the issues of heuristic algorithms and provide efficient LB by partitioning the environments into several tasks. According to the deadline of task execution, the remaining tasks are adjusted dynamically by the proposed KD-tree algorithm in the virtual environment. The experiments are conducted to evaluate the efficiency of KD-Tree algorithm with existing heuristic techniques by using makespan, energy consumption and task migrations. When the number of tasks is 20, the proposed KD-Tree algorithm achieved 71.33% makespan and 5% task migrations. 12 30 2019 2426 2433 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7001.129219 https://www.ijitee.org/portfolio-item/B7001129219/ Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. I.Veeraraghava Rao* Aditya M Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India V Kavya Chowdary Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. K Sai Nishitha Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. V Naveen Sai Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. This paper has a XOR / XNOR gate circuits produces separate and establishes a simultaneous XOR - XNOR function.. Due to stubby yield capacity and short-circuit energy dissipation, the power utilization and latency of these circuits is increasing A new one-bit adder hybrid circuit is chosen built on the effective gates of xor xnor or xor / xnor. Each prefer circuit has its own advantages as it is known for its high speed, low current drain, short delay product (PDP), galvanic ability, etc. Simulations of the planned models were carried out using Mentor Graphics to see the quality of these projects. The simulation results are based on the 130-nm CMOS engineering design. A recent technique of transistor sizing is implemented to improve the circuits ' PDP. 12 30 2019 2434 2437 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7003.129219 https://www.ijitee.org/portfolio-item/B7003129219/ School of Information Technology and Engineering, Vellore Institute of Technology, Vellore. Ushapreethi P* Lakshmi Priya G G School of Information Technology and Engineering, Vellore Institute of Technology, Vellore. Sparse representation is an emerging topic among researchers. The method to represent the huge volume of dense data as sparse data is much needed for various fields such as classification, compression and signal denoising. The base of the sparse representation is dictionary learning. In most of the dictionary learning approaches, the dictionary is learnt based on the input training signals which consumes more time. To solve this issue, the shift-invariant dictionary is used for action recognition in this work. Shift-Invariant Dictionary (SID) is that the dictionary is constructed in the initial stage with shift-invariance of initial atoms. The advantage of the proposed SID based action recognition method is that it requires minimum training time and achieves highest accuracy. 12 30 2019 2107 2111 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7005.129219 https://www.ijitee.org/portfolio-item/B7005129219/ Research Scholar, Department of ISE, Dr. AIT Vidyarani H J* Dr. Shrishail Math Professor, Department Of CSE, SKIT the state-of-art person re-identification (prid) models for ranking generally depends on labeled pairwise feature sets information to learn a task-dependent distance metric. Further, in retrieval process, re-ranking is an important mechanism for enhancing the accuracy. However, very limited work is carried out for designing a re-ranking method, particularly for automatic and unsupervised strategies. The existing re-ranking based prid model is not efficient when multiple persons appears simultaneously in second camera. This is because the existing model identify person in second camera by matching the feature sets with feature sets in first camera, individually with respect to other person in the second camera. For overcoming research problem, this paper present robust and efficient prid (reprid) model. First, present a robust learning/ranking method using k-nearest neighbor (knn) graph. Then, this work present a re-ranking method to improve accuracy of prid by using information of co-occurrence persons for matching and reorganizing given rank lists. Experiment are conducted on standard dataset shows robustness and effectiveness of proposed prid method. 12 30 2019 1544 1550 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7006.129219 https://www.ijitee.org/portfolio-item/B7006129219/ Research Scholar of Civil Engineerieng Department, Hindustan University, Padur, Chennai, Tamil Nadu, India & Assistant Professor, Civil Engineerieng Department, Elitte College Of Engineering, Sodepur, Kolkata, India Sulagno Banerjee* Aritra Mandal Research Scholar of Civil Engineerieng Department, Hindustan University, Padur, Chennai, Tamil Nadu, India & Assistant Professor, Department of Civil Engineering, Techno International Batanagar, West Bengal, India Dr. Jessy rooby Professor, Civil Engineering Department, Hindustan University, Padur, Chennai, Tamil Nadu, India Transfer of tyre rubber suit a tremendous difficulty in India step by step. Analysts are attempting to utilize waste rubber in structural building venture from numerous days back. When coarse aggregate was replaced with 20% chipped rubber it was found that the optimum replacement is5% but still there is a deficit in some strength from conventional concrete. This research programme tries to minimise this gap by adding extra 5% micro silica of the weight of cement and also by replacing 40% of cement by GGBS. Here cubes, cylinders, and prisms were casted to test compressive strength, tensile strength, flexural strength, and durability against heat and were observed after 28 days and 56 days. 12 30 2019 2438 2441 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7007.129219 https://www.ijitee.org/portfolio-item/B7007129219/ Research Scholar (CSE), Mewar University, Gangarar, Rajasthan, India. Ritesh Kumar Shah* Prof (Dr.) Sarvottam Dixit Research Guide Mewar University, Gangarar, Rajasthan, India. The movement of internet technology enhanced the speed and accuracy of data retrieval over the internet. The retrieval of data over the internet needs some automatic process of information extraction and query retrieval. The information extraction gives the process of the predefined structure of the concept to a particular domain of knowledge. The process of information extraction proceeds in two steps one is pre-processing of data and post-processing of data. In preprocessing of data used the concept of the glowworm optimization algorithm. The glowworm algorithm is a family of kits a gives the better selection of information in constraints of similarity. The selection of similarity based on the process of lubrification. The optimization of glowworm removed the unwanted noise of data and filtered it. For the extraction of information used ensemble-based information extraction. The ensemble-based information extraction proceeds with constraints function that function is called mapper constraints. The mapper constraints map the process of ontology with guided domain ontology. The ensemble-based information extraction process used the concept of machine learning for the binding of process. The goals of this work are the development of an OBIE for the domain of different fields of data retrieval such as news agencies, hotel industries and sports. The proposed model combines with the use of ontology, POS and language processing tools and constraints-based mapper with domain ontology. 12 30 2019 3952 3959 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7011.129219 https://www.ijitee.org/portfolio-item/B7011129219/ Student, Electronics and Communication, K.S. Institute of Technology, Bengaluru, India. Navin Kumar H G* Pruthviraj N Student, Electronics and Communication, K.S. Institute of Technology, Bengaluru, India. Surya N Student, Electronics and Communication, K.S. Institute of Technology, Bengaluru, India. Aruna Rao B P Assistant professor, Electronics and Communication, K.S. Institute of Technology, Bengaluru, India. Filters are some of the highly essential components used for operating in most electronic based circuits. Filters are most important and widely used to block some portion of signals according to frequency. Having a detailed knowledge of various filters. A designer will be able to design an efficient communication networks, by varying the cut off frequencies. Filters are required in computer, mechanical and some other fields too. As days passed by the usage of active and passive filters has gradually increased in the market. There are various types of Filters available, in which we are going to perform the simulation of Low pass, High Pass and Band pass Filter using Verilog Hardware Descriptive Language and Xilinx ISE 13.1 as a simulation tool. This paper provides a detailed explanation, circuit diagram, advantages, disadvantages, applications, working of Verilog code and simulation result of Low pass, High pass and Band pass filter. Using Verilog Hardware Descriptive language its simpler to understand and execute the functionality of filters then using other tools like MATLAB, Microcontroller, Microprocessor. 12 30 2019 5178 5182 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7014.129219 https://www.ijitee.org/portfolio-item/B7014129219/ Electrical and Electronics Engineering, M.Kumarasamy College of Engineering, Karur,India. C. Rubini* N. Pavithra Electronics and Communication Engineering, The Kavery Engineering College, Salem, India. Medical images require image enhancement, a category of image processing which provides better visualization that make diagnostic more accurate. The most commonly used method for improving the quality of medical image is Contrast enhancement.The main objective is to eliminate the use of contrast dye during the process of MRI scan and to find the parameters MSE, PSNR, AMBE and contrast and compare the result. The histogram equalization (HE) is the widely accepted method which is not productive when the contrast nature differs across the image. Adaptive Histogram Equalization (AHE) overcomes this limitation by considering and developing the mapping for each pixel from the histogram in a neighboring window. Another suitable technique is CLAHE. CLAHE is a refinement of AHE where the enhancement calculation is modified by imposing a user specified level to the height of local histogram. The enhancement is thereby reduced in very uniform areas of the image, which prevents over enhancement of noise and reduces the edge shadowing effect of unlimited AHE. After enhancing the image using AHE and CLAHE the comparison of their parameters is performed. 12 30 2019 2442 2445 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7017.129219 https://www.ijitee.org/portfolio-item/B7017129219/ Department of Computer Science, S.S.V.P. S’s Lk. Dr. P. R. Ghogrey Science College, Dhule, India Rupali P. Patil* R. P. Bhavsar School of Computer Sciences, North Maharashtra University, Jalgaon, India B. V. Pawar School of Computer Sciences, North Maharashtra University, Jalgaon, India Multifold growth of internet users due to penetration of Information and Communication technology has resulted in huge soft content on the internet. Though most of it is available in English language, other languages including Indian languages are also catching up the race rapidly. Due to exponential growth in Internet users in India common man is also posting moderate size data on the web. Due to which e-content in Indian languages is growing in size. This high dimensionality of e-content is a curse for Information Retrieval. Hence automatic text classification and structuring of this e-content has become the need of the day. Automatic text classification is the process of assigning a category or categories to a new test document from one or more predefined categories according to the contents of that document. Text classification works for 14 Indian languages are reported in the literature. Marathi language is one of the officially recognized languages of Indian union. Little work has been done for Marathi text classification. This paper investigates Marathi text classification using popular Machine Learning methods such as Naïve Bayes, K-Nearest Neighbor, Support Vector Machine, Centroid Based and Modified KNN (MKNN) on manually extracted newspaper data from sport’s domain. Our experimental results show that Naïve Bayes and Centroid Based give best performance with 99.166% Micro and Macro Average of F-score and Modified KNN gives lowest performance with 97.16% Micro Average of F-Score and 96.997% Macro Average of F-score. The proposed work will be helpful for proper organization of Marathi text document and many applications of Marathi Information Retrieval. 12 30 2019 2446 2454 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7023.129219 https://www.ijitee.org/portfolio-item/B7023129219/ Associate, Department of Library and Information Science, Assam Women’s University Jorhat, Assam, India. Pranjal Deka* Today’s world totally runs with Information, All societies run with the association of modern ICT tools.Due to changing context, learning and teaching environment is also drastically changing. Electronic resources (e-resources) have become very popular among the scholarly community of the world and libraries are no exception. Today, the academic libraries are procuring more and more e-resources for the satisfaction of their users. All libraries try to provide quick and effective service for their users ata low cost in the least time. In changing context E-resources play a vital role in the quality enhancement of higher education. In this paper,it is tried to reflect various dimensions of E-resources used by the student of the Social Science and Humanities disciplines of Dibrugarh University. 12 30 2019 2455 2457 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7024.129219 https://www.ijitee.org/portfolio-item/B7024129219/ Associate Professor, Department of EEE, The Oxford College of Engineering, Bangalore, India. Sandhya P Dr. Nagaraj R* Vice Chancellor, Kalasalingam University, Tamilnadu, India. The increased use of electricity-dependent devices has posed many concerns to the power industry. The devices like electric motors, printers, generators, transformers, computers, etc are widely used in today’s world. The electronic devices increase the non-linear load to the power system which leads to the power quality (PQ) issues by which the electrical devices may get affected with fluctuation causing equipment failure, power system failure, etc. In order to resolve the PQ related issues and harmonics mitigation occurred due to nonlinear load power filters were introduced in decades ago. This paper deals with the review of existing researches that uses power filters and other methods for power quality improvement. The paper also gives gaps and the current state of the art in the recent researches which have futuristic scope in the research domain. 12 30 2019 1989 1995 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7025.129219 https://www.ijitee.org/portfolio-item/B7025129219/ Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu - 629151, Tamilnadu, India. Pratheesh J P* M. Dev Anand Department of Mechanical Engineering, Noorul Islam Centre for Higher Education, Noorul Islam University, Kumaracoil - 629180, Tamilnadu, India. Dr. Jesuthanam C P Principal/Professor, Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu - 629151, Tamilnadu, India. Prakash J P Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu - 629151, Tamilnadu, India. Shajin S Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu - 629151, Tamilnadu, India. With the increase in demand for producing products with good surface finish within reduced time. Selection of suitable parameters for machining in CNC lathe is much required from the operator’s point of view. To attain the desired parameters this study deals taguchi technique as a tool in process parameter optimization using carbon insert CNMG tool in turning of AA6063 alloy. L9 orthogonal array is selected for conducting the experiments and for this Feed, Cutting Speed, Depth of Cut are the process parameters. The ANOVA and S-N ratio is used to analyse the characteristic performance of the turning operation performed. From the results of ANOVA the most influential parameter in reducing the surface roughness is found as depth of cut. Finally for various process parameter combinations the surface roughness is calculated and the optimum parameter for machining is attained by using Taguchi. For authentication of the optimum output attained in optimization experiments have been conducted to get maximum surface finish when machining the aluminium alloy in CNC turning. 12 30 2019 2458 2461 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7027.129219 https://www.ijitee.org/portfolio-item/B7027129219/ Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu - 629151, Tamilnadu, India. Prakash J P* M. Dev Anand Department of Mechanical Engineering, Noorul Islam Centre for Higher Education, Noorul Islam University, Kumaracoil - 629180, Tamilnadu, India. Dr. Jesuthanam C P Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu - 629151, Tamilnadu, India. Pratheesh J P Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu - 629151, Tamilnadu, India. Dhanu Krishnan M P Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu - 629151, Tamilnadu, India. With low cost, simplicity of manufacturing and the abundant availability of natural fibers have tempted the researchers to try the available fibres and to investigate their possibility of using it for the purpose of reinforcement. Since Coir fiber is renewable, eco-friendly, less weight and has good mechanical performance it is considered as one of the best alternative to Carbon fiber. In this present work the ability of coir fibre in improving the mechanical characteristic has been studied. Four specimens having different weight fractions (5%,10%,15% &20%) of coir fiber with polyester matrix is prepared and their corresponding mechanical properties has been determined. In this work the fiber is treated with Sodium Hydroxide (NaOH) for attaining good fiber separation and hand- lay-up practice have been employed for composite manufacturing. To find the mechanical characteristics of composite the following tests were performed on the prepared specimens like tensile test, Flexure and hardness test. Experimental result reveals that the composite with 15% coir fiber have a maximum tensile strength of 26.5Mpa From the Experimental results it is evident that the increase in coir fiber weight fraction results in improving the mechanical properties of the composite. 12 30 2019 2462 2465 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7028.129219 https://www.ijitee.org/portfolio-item/B7028129219/ Assistant Professor, Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu - 629151, Tamilnadu, India. Mr. Shajin S* Dr. Dev Anand M Director Research/Professor, Department of Mechanical Engineering, Noorul Islam Centre for Higher Education, Noorul Islam University, Kumaracoil - 629180, Tamilnadu, India. Dr. Jesuthanam C P Principal/Professor, Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu - 629151, Tamilnadu, India. Mr. Pratheesh J P Assistant Professor, Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu - 629151, Tamilnadu, India. Mr. Dhanu Krishnan M P Assistant Professor, Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu - 629151, Tamilnadu, India. Fibre reinforced composites have been an essential concern in various fields, especially in the field of aerospace owing to its high strength to weight ratio, toughness, corrosion resistant and low cost. Natural fibre reinforced composites have produced better results in mechanical properties like impact, toughness and fatigue strengths when compared to synthetic fibre reinforced composites. Recently researches have been conducted on different varieties of natural fibres for use in plastics such as jute straw, wood, rice husk, wheat, barley etc. Natural fibres have also attracted the attention of researchers due to its availability, renewability, degradability and most importantly ecofriendly. In this work an attempt is made to improve the mechanical properties of the composite and also to enhance the compatibility of the fibres with the matrix. The composite is prepared by reinforcing banana fibres into unsaturated epoxy matrix using hand layup method. Mechanical properties such as tensile strength, flexural strength and hardness strengths are carried out on the specimens made by reinforcing with 5%, 10 % and 15 %concentration of banana fibre by weight. The results showed that the composite with 15% concentration of banana fibre produced higher tensile strength of 21.43 MPa, flexural strength of 0.895 kPa and Shroud hardness of 59.3. 12 30 2019 2466 2471 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7034.129219 https://www.ijitee.org/portfolio-item/B7034129219/ Faculty Member, Department of Information Systems, School of Information Systems, Bina Nusantara University, Indonesia Yuliana Lisanti* Devyano Luhukay Faculty Member, Department of Information Systems, School of Information Systems, Bina Nusantara University, Indonesia. Rudy, Faculty Member Department of Information Systems, School of Information Systems, Bina Nusantara University, Indonesia. Indonesian internet users reached 143,26 Million in 2017, most of them used internet for accessing messaging and social media application. We argue that usage of messaging and social media can give positive impact to the learning process. Our research method using questionnaire to collect data, research conduct in Private University in Jakarta, and student as our research unit analysis. The second year’s research shows that optimization of social media application and messenger services to improve student performance can be done by knowing the most common social media application and messenger services that used by student, socialize the process to increase number of participation, utilization of features of the application, continuous improvement, and communication about method’s success story that can attracts lecturer and students to apply and keep improve the more effective method and learning process. This research result can be use by the lecturer or educator to improve education through social media application and messenger. 12 30 2019 2112 2116 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7035.129219 https://www.ijitee.org/portfolio-item/B7035129219/ Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation Smirnova Z.V.* Kaznacheeva S.N. Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation Malushko E.Yu. Institute of Philology and Intercultural communication, Volgograd State University, Lizunkov V.G. Ural State University of Economics, Maletina O.A. Institute of Philology and Intercultural communication, Volgograd State University, Novikova T.B Institute of Philology and Intercultural communication, Volgograd State University, Socio-economic transformations in Russia have led to the need to modernize a lot of social institutions and, first of all, the education system. The present Russian system of additional education for children has a unique potential for the development of different abilities of students. The additional education of children possessing openness, mobility and flexibility, can respond quickly and clearly to the educational request of the family, create a stable environment of culture development, and also develop a conscious civic position. The maximum use of technologies of a personality-oriented approach contributes to a significant relevance for additional education in the whole diversity of its areas. Today the system of additional education plays a huge role in the training and education of the younger generation. 12 30 2019 2477 2479 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7042.129219 https://www.ijitee.org/portfolio-item/B7042129219/ Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation Chelnokova E. A.* Shobonova L.Yu. Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation Chanchina A.V. Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation Smirnova Z.V Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation Bystrova N.V. Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation Kaznacheeva S.N. Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation The article discusses the possibility of using narrative in education. The authors investigate the appearance of the phenomenon of narrative, revealing its essence as the story of a person’s life, which he himself tells. Considerable attention is paid to the consideration of the concept of narrative in scientific works. The article addresses the issue of the possibility of using narrative techniques in family psychotherapy. The distinguishing features of the narrative and the possibilities of its use in pedagogical practice, in particular during lectures, are indicated. The aspects of the narration of the monological form of conducting classes are considered. The prospects of using narrative in higher education are emphasized. 12 30 2019 5183 5187 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7043.129219 https://www.ijitee.org/portfolio-item/B7043129219/ Sanitary Eng. Section, Public Works Department, Faculty of Engineering, ASU, Cairo, Egypt. Mostafa* N. S. Sanitary Eng. Section Public Works Department, Faculty of Engineering, ASU, Cairo, Egypt. El Nadi Sanitary Eng. Section, Public Works Department, Faculty of Engineering, ASU, Cairo, Egypt. M.E. H. Sanitary Eng. Section, Public Works Department, Faculty of Engineering, ASU, Cairo, Egypt. Ibrahim Sanitary Eng. Section, Public Works Department, Faculty of Engineering, ASU, Cairo, Egypt. M.S.A. R. Sanitary Eng. Section, Public Works Department, Faculty of Engineering, ASU, Cairo, Egypt. Nasar Sanitary Eng. Section, Public Works Department, Faculty of Engineering, ASU, Cairo, Egypt. N.A. H. Sanitary Eng. Section, Public Works Department, Faculty of Engineering, ASU, Cairo, Egypt. Due to the rate increase for potable water need, the general market trend is the vertical expansions for water treatment plants instead of the horizontal ones. By upgrading the existing plants using new technology to reach the maximum capacity and conserve the water quality parameters as the Egyptian Code states. The most benefits of plant upgrading are no new land is needed also, low cost solution, as we could upgrade the WTP as mentioned before without adding major civil works comparing with the construction of new water treatment. This study aims to upgrade the existing water treatment plants using dissolved air floatation system, in order to reach the maximum possible capacity using several possible scenarios without adding major civil works. The study shows that, the scenario which involves DAF technology then sedimentation and filtration has the best removal efficiency because it has three treatment phases. The use of one treatment phase from floatation or sedimentation followed by filtration achieved lower efficiency. At last direct filtration, considering low removal efficiencies due to the high rate of filtration which allowed the suspended solids to escape.For the application upon Al Ameriyah water treatment plant, the first proposal which involves five combined tanks, two tube settler and one filter tank is the most convenient proposal to be achieved. Since it has quiet high value 72 points in the technical evaluation with the least estimated cost 85,769,200 LE. The use of DAF technology combined with sedimentation gives the chance to increase the existing plant capacity from 520000 m3/day to 864815 m3/day with rate of increase equals 66.31% which is a cheap and happy solution. 12 30 2019 3671 3680 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7054.129219 https://www.ijitee.org/portfolio-item/B7054129219/ Assistant Professor, Department of CSE, Kakatiya Institute of Technology & Science,India. B. Raju* Rajitha Bonagiri Assistant Professor, Department of CSE, Vaagdevi College of Engineering, India Data mining is the process of discovering likely useful, appealing, as well as previously not known patterns coming from an extensive compilation of data. Data mining is a multidisciplinary field, enticing projects coming from places consisting of data financial institution advancement, expert system, stats, style understanding, information retrieval, semantic networks, knowledge-based units, expert system, high-performance processing, as well as files visual images. This paper delivers a quick concerning architecture, benefits and automated prediction of trends as well as behaviors in Data Mining. 12 30 2019 5188 5190 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7056.129219 https://www.ijitee.org/portfolio-item/B7056129219/ Assistant Professor, Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu, Tamilnadu, India. Mr. Dhanu Krishnan M.P.* Dr. Dev Anand M Director Research/Professor, Department of Mechanical Engineering, Noorul Islam Centre for Higher Education, Noorul Islam University, Kumaracoil, Tamilnadu, India. Mr. Prakash J.P. HOD/ Assistant Professor, Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu, Tamil Nadu, India. Mr. Pratheesh J.P Assistant Professor, Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu, Tamil Nadu, India. Mr. Shajin S.. Assistant Professor, Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu, Tamil Nadu, India. The practice of burning fossil fuels like petroleum, coal and natural gas will release large amount of carbon dioxide into the atmosphere. The outcome of this carbon dioxide release into our atmosphere will cause global warming. It is vital to develop alternate renewable fuel sources that are sustainable, economical and eco-friendly friendly. Biomass based fuels is gaining attractiveness as a substitute to fossil fuels. The gasification of biomass will generate producer gas. This gas blend can be used as fuel in IC engines, turbines and fuel cells for power generation. Raw producer gas that comes from a gasifier contains impurities like tar and dust particles. Eventually these impurities will reduce the quality of the producer gas and it cannot be used in engines directly. With the help of the natural fibres as filter material, enriched producer gas can be obtained. Therefore a filter box is developed and wood shaves were used as a bio- fibre material to enrich the producer gas. Finally, the producer gas enrichment was done using the wood shaves as filter material. 12 30 2019 3681 3686 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7057.129219 https://www.ijitee.org/portfolio-item/B7057129219/ Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation,Vaddeswaram,AP,India, CMAK Zeelan Basha* T. Maruthi Padmaja VFSTR University, Andhra Pradesh 522213, India. G.N. Balaji CVR College of Engineering, Hyderabad 501510, India X-Ray images are the most widely recognized methods for medical imaging accessibility for individuals during the wounds and mishaps. X-rays are most frequent and the oldest form of medical imaging. Yet, the minute fracture identification using the X-Ray image is beyond the realm of imagination,because of the complication of bone organisation and the dissimilarity in visual attributes of fracture upon their location. This is the reason why it it is hard to detect the fractures and furthermore decide the seriousness of the damage. The major challenges of X-Ray imaging are the presence of noise, intensity ambiguity, and overlapping tissues. This creates a hurdle in correct diagnosis and delays treatment. The various rates require the human services experts to analyze countless x-ray images. computerized detection of fractures in X-Ray images can be a huge commitment for helping the doctors in settling on quicker and increasingly precise diagnostic decisions and speeds up the plan for the treatment. This research compares the existing fracture detection techniques.From various fractures, programmed identification is viewed as challenging since they are unique and variable in presentation and their results are quite un predictable.The major challenges for computer-aided fracture detection can be accurate segmentation process, automatic identification of the region of interest (bone fracture), evaluation and suggestive course of action. 12 30 2019 868 872 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7058.129219 https://www.ijitee.org/portfolio-item/B7058129219/ Department of Mathematics, BIHER, Chennai, India. Shalini Rajendra Babu* Dr.N. Ramya Department of Mathematics, BIHER, Chennai, India. The prime cordial labeling for crown graph, armed crown, H-graph and butterfly graph have been described in this paper. 12 30 2019 3310 3313 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7063.129219 https://www.ijitee.org/portfolio-item/B7063129219/ Assistant professor, Department of CSE, Vaagdevi College of Engineering, India. B. Krishna* Kauda Bhanu Prasad Assistant professor, Department of CSE, Vaagdevi College of Engineering, India. Data mining procedures are used to find the concealed or brand new patterns to keep the information. We know that data mining can utilize every sector like service, farming, advertising and marketing etc. There are numerous methods for data mining like clustering, distinction, and so on. There are a variety of techniques and also procedures of data mining which could be used on information to build up a brand new setting to enhance the efficiency of existing data and aid to make the brand-new prophecies on the records. Within this newspaper, our team provide procedures for the discovery of patterns concealed in sizable records sets, paying attention to problems relating to their usefulness, effectiveness, effectiveness, and scalability. 12 30 2019 2480 2483 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7064.129219 https://www.ijitee.org/portfolio-item/B7064129219/ Associate Professor and NCC Officer in the Department of Electrical and Electronics Engineering at School of Electrical Sciences in Kongu Engineering College Major Dr.P.S. Raghavendran* Dr.T.Logeswaran B.E. ME.,Ph.D., working as Assistant Professor (SG) in the Department of Electrical and Electronics Engineering at School of Electrical Sciences in Kongu Engineering College. M. Ambayeram pursuing B.E in the Stream of Electrical and Electronics Engineering in Kongu Engineering College. T. Hemasree pursuing B.E in the Stream of Electrical and Electronics Engineering in Kongu Engineering College. S. Keerthana pursuing B.E in the Stream of Electrical and Electronics Engineering in Kongu Engineering College. J. Naveen pursuing B.E in the Stream of Electrical and Electronics Engineering in Kongu Engineering College. An automatic fodder system Was developed that automatically feed the cattle food (sorghum) at a predetermined time without the need of labour . In a way, it is to control the cattle feeding activity by using a system that is generally combined with the mechanical system and electrical systems to form an automatic fodder system (AFS) instead of manually feeding. The cattle owners whom are away for a long time will have troubles about knowing the situation of the feeding cattle. Thus, this automatic cattle fodder device is very convenient, and easily monitorable. The device will consist of a gear motor, wiper motor, circular saw blade, conveyor and Microcontroller8051.The cutter is used to cut the sorghum into small pieces a to fed the cattle. This improves the animal digestion and prevents animal from rejecting any part of their food. A timer is used to control the number of cutting time at an interval of time. Plus, there is an IR sensor to sense the cattle feed. With this, the user or the owner can be away from home get benefited through useful data that are receivable through communication. Further future development may be done by including the load cell to measure the exact weight of the chaffs for the analysis purpose which is helpful for efficient cattle fodder system. 12 30 2019 2484 2486 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7065.129219 https://www.ijitee.org/portfolio-item/B7065129219/ Department of Irrigation and Melioration, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers (TIIAME), Tashkent, Uzbekistan. Bakhtiyar Matyakubov* Adiljan Atajanov Senior Teacher of the Department “Mechanization of irrigation and drainage works”, TIIAME. Davronbek Yulchiyev Assistant of the Department “Irrigation and land reclamation”, TIIAME. The article is devoted to the issues of water conservation and efficient use of water resources by improving the existing methods of irrigation through the furrows and the creation of new technical means ensuring the rational use of water and land resources during furrow irrigation, contributing to irrigation water savings. The proposed technology based on the fact that this measure is achieved by presenting changes and the automation of the working bodies of agricultural machinery involved in land reclamation measures, in particular, a furrow cutter and a bottom compactor. The technology allows for the production of agricultural industrial crops to use automated control of the working body when cutting furrows, to save water on irrigated areas and to achieve high yields due to the sustainable development of crops, and the proposed technical tool relates to agricultural machinery, especially a tool for caring of row crops, irrigated crops, the purpose of the invention, which is the creation of uneven compaction soil in the furrow bed along its length, with a change in soil density from the maximum value at the beginning and the minimum at the end, according to the irrigation method. The proposed technical tool is used for the device of uneven soil compaction in the furrow bed along the entire length, with a smooth change in soil density from maximum at the beginning and minimum at the end. The proposed technology and technical means provide: -increasing the efficiency of the use of water resources by creating a sustainable profile and design slope of the furrow saves irrigation water in the range of 10-12%; - water saving and energy saving by creating a stable profile and slope of the furrow of the irrigated field, providing high uniformity of moistening of the root layer of the soil along the entire length of the furrows, especially when cutting them, new laser technologies and highly efficient trailed technical means and production methods were used, providing material savings of 6- 8%. 12 30 2019 3687 3691 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7069.129219 https://www.ijitee.org/portfolio-item/B7069129219/ Assistant Professor, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India Mr .Rahul Mahadeo Shahane* Ramakrishna Sharma .K Student, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India Md. Seemab Siddeeq Student, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India In this paper we analyze and predict the emotion of a user by recognizing his/her face. Face recognition is a software application which is used to identify a particular person; it will be mostly useful in security applications to secure our data. Now a day we are using face unlock in mobiles to unlock our phones. We need to know the emotions of a person in some situations. Though we can recognize his emotion through his tone of voice, it would be more helpful if get to know his emotions. This can be much helpful in finding out a criminal by finding out his emotion whether he is feeling nervous or not which expresses his/her fear by this. In order to analyze his/her emotion firstly we need to recognize his/her face, so we need to use face recognition method and then implement emotion analysis. Here we use different algorithms to implement emotion analysis such as CNN. We will have the dataset with pixels and emotion this will be the training data. Then we will be initially taking the picture and then convert them to pixels these will be acting as the testing data. We then use an algorithm to predict these pixels emotion which is nothing but predicting the emotion of the picture taken. 12 30 2019 2487 2491 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7070.129219 https://www.ijitee.org/portfolio-item/B7070129219/ Department of Information Technology, School of Information Technology and Engineering, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India. Kathiravan Srinivasan* Takshi Gupta Information Security Engineering Department, Soon-chunhyang University, Asan-si, South Korea Senthil Kumaran S Department of Manufacturing Engineering, School of Mechanical Engineering, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India. Srinivasan N Department of Manufacturing Engineering School of Mechanical Engineering, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India. The cloud-based logistics services allow cost reduction, higher elasticity, flexibility, and maximum utilization of resources for performing high computations and data analytics. Logistics and security are complex issues with the corporate entities when these are to be used for taking critical issues. To understand these, this paper discusses a conceptualized, flexible security framework for cloud-driven digital supply chain in Agricultural. Moreover, a security enhancement layer is included at each layer of the cloud with a feasibility study on protecting user information in the logistics services ambiance. Also, the Data Residency for cloud-based logistics services is elaborated with Data Security analysis. Further, the article discusses the possible solutions to handle the security concerns of the logistic model. 12 30 2019 2492 2501 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7073.129219 https://www.ijitee.org/portfolio-item/B7073129219/ Department of EEE, Kongu Engineering College, Perundurai, Erode. P. Gowrishankar* T. Logeswaran Department of EEE, Kongu Engineering College, Perundurai, Erode. V. Surendar Department of EEE, Kongu Engineering College, Perundurai, Erode B. Shriram Department of EEE, Kongu Engineering College, Perundurai, Erode. J. Sivamuruganandam Department of EEE, Kongu Engineering College, Perundurai, Erode. S. Vasanth Department of EEE, Kongu Engineering College, Perundurai, Erode. The ultimate aim of introducing this paper is to control or prevent the crime against them. We propose a stun gun technology-based women safety dress with GPS. This method consists of a system that provides physical security in the case when the women are harassed or whether she is in trouble. In this paper, we proposed an ATMEGA controller and an android application in which both the device and mobile phone are synchronized using the ESP module. This paper will prove to be very useful in saving lives as well as preventing atrocities against women. This system uses a panic key, a boost converter and a GPS module which provides the location of a woman who is in trouble and the stun gun technology which will provide physical protection to the women. If the panic key is pressed, it turns on the system by sending an alert message to the woman’s relatives via android application. The kit is also be accessed by the parents or relatives via the IoT module. At the instance, whenever the panic key is pressed, it provides the high voltage shock pulse to a stranger via the boost converter. 12 30 2019 2502 2505 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7074.129219 https://www.ijitee.org/portfolio-item/B7074129219/ Research Scholar, Dept. of Computer Science,Manonmaniam Sundaranar University, Tirunelveli, India J. Margaret Sangeetha* P. Velmani Asst.Professor, Department of Computer Science, The M.D.T. Hindu College, Tirunelveli, India T.C. Rajakumar Asso. Professor, Department of Computer Science, St. Xavier’s College, Tirunelveli, India Data clustering is inevitable for crucial data analytic based applications. Though data clustering algorithms are capacious in the literature, there is always a room for efficient data clustering algorithms. This is due to the uncontrollable growth of data and its utilization. The data clustering may consider any of the data formats such as text, images, audio, video and so on. Due to the increasing utilization trend of digital images, this work intends t clustering algorithm for digital images, which is based colour distance and Improvised DBSCAN (IDBSCAN) algorithm. The proposed IDBSCAN completely weeds out the annoying process of setting the initial parameters such as 𝜺 and them automatically. The performance of the proposed work is analysed in terms of clustering accuracy, precision, recall, F measure and time consumption rates. The proposed work outperforms the existing approaches with reasonable time consumption. 12 30 2019 2717 2722 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7078.129219 https://www.ijitee.org/portfolio-item/B7078129219/ Actuarial Science Programme, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia. Humaida Banu Samsudin* Tan Li Ping Actuarial Science Programme, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia. The depreciation of Malaysia Ringgit (MYR) value since 2013 until 2016 have brought many negative impacts on Malaysia’s economy such as the depreciation of export value and the appreciation of import value. Such impacts are getting more severe when the exchange rate of MYR to the currency of Malaysia’s biggest trading partner, China Yuan Renminbi (CNY) is increasing. The study is conducted to explain the movement in the exchange rate of Malaysia Ringgit to China Yuan Renminbi (MYR/CNY). The four macroeconomic factors used to build the estimation models for the exchange rate of MYR/CNY in this study are relative current account balance, relative trade openness, relative sovereign debt, crude oil price. The estimation models are built using two different methods, Bayesian Model Averaging (BMA) and Multiple Linear Regression (MLR). The comparison of the results from the two models in the context of model accuracy shows that BMA model has better performance capability than MLR model in estimating the exchange rate of MYR/CNY. 12 30 2019 2506 2510 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7079.129219 https://www.ijitee.org/portfolio-item/B7079129219/ UG Student, School of Electronics Engineering (SENSE), Vellore Institute of Technology, Vellore, Tamil Nadu, India. Prathik Jain* Saroj Anand Tripathy UG Student, School of Electronics Engineering (SENSE), Vellore Institute of Technology, Vellore, Tamil Nadu, India. Rajesh R Assistant Professor (Senior), School of Electronics Engineering (SENSE), Vellore Institute of Technology, Vellore, Tamil Nadu, India. This paper on the cyclic temperature heating and cooling control system proposes a method to control and adjust to the suitable temperatures for the rooms. The system is utilised to control the temperature in various real-time environments. This where the paper on the cyclic temperature heating and cooling control system comes in by making the use of the peltier effect in the thermoelectric module, which is trying to solve the above problem. The temperature sensor detects the change in temperature as the difference between the set-point temperature which is used to execute the fan or the heater. The error in the system is reduced by the Proportional-Integral-Derivative (PID) controller which is around 80%-90%, which is often created by the Pulse Width Modulation (PWM) which generates square wave responsible for switching ‘ON’ and ‘OFF’ the thermoelectricmodule. These then switch between the Metal-Oxide Semiconductor Field Effect Transistor (MOSFETS) using the H-bridge circuit causing to change the flow of Direct Current (DC) current which in turn, is responsible for controlling the temperature of the surroundings. It can be used in precise temperature control and rapid thermal cycling in a micromachined DNA polymerase chain reaction chip.It also can be used in temperature control for PCR thermo-cyclers based on peltier effect thermo-electric. It can be used in an automotive cabin climate control system.Help in improving solar cooling technologies.Also, improve in the accuracy of the thermal testing of equipment. 12 30 2019 2511 2514 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7082.129219 https://www.ijitee.org/portfolio-item/B7082129219/ Associate Professor, School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India Agilandeeswari L* Mahajan Tanuja Sagar M.Tech (CCE), School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India Keerthana N M.Tech (CCE), School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India Skin cancer is one of the dangerous cancers like breast cancer, brain tumour, and lung cancer. The detection of a skin lesion is melanoma or nonmelanoma is a very crucial issue. The earlier detection of melanoma is one of the best solutions for this issue. There is a various technique for detecting the skin lesion. Because of the technology advancement earlier detection of the skin lesion is possible. Malignant melanoma is a very harmful melanoma it is the cancerous cell that will lead to growth and that can be a mole in different colours red, black and brown. Skin lesion segmentation from dermoscopic images is a very challenging task nowadays because of the contrast of those images. there are various techniques for detecting the skin cancer base on the characteristics of the images shape, colour, textures. We proposed a system for skin cancer detection using texture-based segmentation and classification using Convolutional Neural Network. GLCM (Gray Level Co-occurrence Matrix) matrix is exacting the features from an image. And used Neural network tool for checking the accuracy of training network. Nowadays Deep Learning technique is very popular for classification of images. CNN is one of the techniques of Deep Learning. The proposed work will help in classification of skin lesion. Model will helpful for dermatologists for classifying melanomas. 12 30 2019 2117 2120 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7085.129219 https://www.ijitee.org/portfolio-item/B7085129219/ Research Scholar, Dept. of ECE JNTUA College of Engineering, Ananthapuramu, India. Smt. D.Lalitha Kumari* Dr. M.N.Giri Prasad Professor, Dept. of ECE JNTUA College of Engineering, Ananthapuramu, India Multiple Input Multiple Output (MIMO) wireless systems are perceived a significant reorganization for upcoming wireless systems. The performance of communication systems in regards to their spectral efficiency and ability is enhanced as a result of MIMO systems. The required transmit power as for desired Bit Error Rate (BER) has been outfitted in combination with appropriate receiver diversity. The study exposed that MIMO is a further efficient energy system since accomplished a decent BER performance at low SNR, when compared with SISO, SIMO and MISO which needs high SNR to accomplish at appropriate BER performances. The multiplexing gain experienced in the multiple antenna strategies utilizing the Space Time Block Code (STBC) and Maximal Ratio Combining (MRC). The impacts of number of transmitter and receiver antennas on the MIMO system’s BER performance over Rayleigh, Rician and Weibull channels with STBC transmitter and MRC receiver is analyzed. The BER performance characteristics of MRC receiver is explored for Quadrature Phase Shift Keying (QPSK) modulation. 12 30 2019 4410 4415 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7088.129219 https://www.ijitee.org/portfolio-item/B7088129219/ Dept. of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India. Dr. S. Rajaprakash S. Muthuselvan Dept. of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India. K. Karthik* Dept. of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India. Ravulu Abhimanya Dept. of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India Ithagani Srikanth Dept. of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India. Due to higher need of memory and other special needs, cloud computing has become very popular. Many cloud encryption schemes are introduced to increase the protection of the files stored in the cloud. These encryption schemes are said to be safe and cannot be hacked. But in some case, due to some circumstances, certain authorities may force service providers to reveal the confidential data stored in the cloud. Thus making the cloud computing to lose its trust from the users in this paper, we are introducing our structure of another encryption conspire, which empowers distributed storage suppliers to make persuading counterfeit regarding the information put away in the cloud. Along these lines making the coercers, befuddled to see the acquired insider facts as obvious or not.so this sort of encryption makes the distributed computing progressively reliable. The greater part of the plans still accept that the specialist organizations are sheltered from hacking and can be trusted. Yet, practically speaking, a few elements may capture the correspondence among clients and specialist co-ops, convincing the specialist co-ops to discharge the information by controlling government control or other means.so for this situation, the encryptions are believed to be fizzled and the information which are regarded to be classified or mystery are discharged to these elements. 12 30 2019 4767 4771 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7090.129219 https://www.ijitee.org/portfolio-item/B7090129219/ Information Systems Management Department, BINUS Graduate Program – Master of Information Systems Management, Bina Nusantara University, Jakarta Sfenrianto Sfenrianto* Kaman Nainggolan STMIK Nusa Mandiri, Indonesia, Abdur Rohman STMIK Nusa Mandiri, Indonesia Grouping facial images can be used for various purposes with various algorithms. The purpose of this study was to determine the classification of students' facial images in the assignment presentation video using the Bezier Curve algorithm and K-Means Clustering. The results showed that the initial classification was still in a varied and uneven position. Then the final classification has a significantly different distribution for each cluster. 12 30 2019 2515 2518 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7099.129219 https://www.ijitee.org/portfolio-item/B7099129219/ Department of E&CE , Angadi Institute of Technology and Management, Belagavi ,India. Mr. Prashant G. Bannulmath* Dr. Raviraj H. Havaldar Department of BME , KLE Dr MSSCET, Belagavi, India Echocardiography is an ultrasound of the heart for the assessment of cardiac structure and function. Images obtained from the ultrasound suffer from a speckle Noise. Speckle is an inherent multiplicative noise which affects the visual perception by discriminating the fine details in the echocardiography. Speckle removal is important step to improve the visual quality of the echocardiography for better diagnosis. Anisotropic diffusion is one of the popular techniques to despeckle the ultrasound image in recent times. In this paper, we propose a fuzzy based adaptive anisotropic diffusion despeckling filter to despeckle echocardiography ultrasound image. The results show that fuzzy diffusion when combined with adaptive anisotropic diffusion filter gives better performance compared with existing despeckling filters. 12 30 2019 2519 2522 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7100.129219 https://www.ijitee.org/portfolio-item/B7100129219/ Research Scholar, School of Electrical Engineering, KIIT University, India. Ganesh Prasad Khuntia Dr. Sarat Chandra Swain Professor, School of Electrical Engineering, KIIT University, India. Dr. Ritesh Dash* Asso. Professor, Christian College of Engineering & Technology, Bhilai, India. linear and Non-Linear controller shows their best performance under different power quality conditions. However, under sub transient condition these controller shows sluggish performance. This paper introduces the application of Fractional order [FO] controller in real world power system phenomena. FO-controller based on proportional integral control action was used here for grid interconnection of inverter. Different power quality issues such as Real & Reactive Power exchange between renewable source and grid have been presented here. Matlab Simulink model was developed for a real-world grid connected model in order to check the robustness of the controller. A comparison between the PI controller and FO-PI controller was presented in this paper. 12 30 2019 873 877 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7110.129219 https://www.ijitee.org/portfolio-item/B7110129219/ Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, India. S.D. Harish* K.Vinay Kumar Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, India. K.Taraka Ram Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, India. G. Pradeepini Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, India. Machine learning is an artificial intelligence(AI) technology that provides the systems with the knowledge and capability to learn and evolve automatically from specifically programmed experiences. This focuses on designing computer programs that are able to gain access and use information on their own. Kidney damage or decreased activity for more than three months is known as chronic kidney disease.This illness occurs when the kidneys can no longer expel extra water or waste from human blood. The goal of this research study is to prepare a predictive modeling for chronic kidney disease data to analyze the different open source python module and output the results predicted by machine learning algorithms and determine the accuracy by comparing different algorithms such as KNN and Logistic Regression which are primarily used for classification of data. This algorithm makes predictions on a dataset collected from the patient's medical records. It gives us the clarity that if someone has chronic kidney disease or not primarily based on a person's blood potassium levels present in their body. 12 30 2019 4194 4199 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7113.129219 https://www.ijitee.org/portfolio-item/B7113129219/ Department of Mechanical Engineering, Malla Reddy Engineering College (Autonomous), Hyderabad (Telangana) 500100 India. T. Naresh Kumar S. Sathish Kumar Department of Mechanical Engineering, Karpagam College of Engineering, Coimbatore-641032 (Tamil Nadu) India. A. Jeevarathinam Department of Mechanical Engineering, Hindusthan Institute of Technology, Coimbatore-641032 (Tamil Nadu) India. R. Sivaprasad* Department of Electrical and Electronics Engineering, Sri Sairam Engineering College, Chennai-600044 (Tamil Nadu) India. R. Praveen Kumar Department of Mechanical Engineering, St. Peter’s Institute of Higher Education and Research, Avadi, Chennai (Tamil Nadu) India. The contemporary test targets learning the perfunctory conduct of half breed regular fiber combinations. Tests of a few Areca-Epoxy were made utilizing layup strategy where the assembling of handles was substitute and the weightiness division of polymer % and fiber& network was kept at 90%- 10% , 80% - 20% and 30%-70%.Specimens were cut from the created cover as indicated by the ASTM models for various analyses. For Ductile test and flexural test were cut fit as a fiddle and level bar shape separately. 12 30 2019 5078 5081 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7114.129219 https://www.ijitee.org/portfolio-item/B7114129219/ Research Scholar, Jain University, Asso. Prof. Dept of EEE,AIT, Bangalore, India. Lekshmi M* Dr.M S Nagaraj HOD Dept. of EEE,BIET Davanagare, India. This Paper is an attempt to develop a Data Mining tool for the contingency of the power system. By mining the big data in the power system and analyzing the early detection of the contingency in the power system a larger cost cutting can be planned. As Mining would reduce the computational complexity of the contingency analysis this attempt would lead to reduction in the hardware use. This paper uses Multiclass Relevance Vector Machine(MCRVM) and Multiclass Support vector machine(MCSVM) in order to mine the data which include the voltage, power generated , power angles , power demand in different lines of the power system. The Data mining would need a data transformation technique, which would reduce the dimensionality of the data introduced for mining. The combination of Data cleansing and the Principal Component Analysis would act as the data transformation technique in this paper. A Matlab based simulation is carried using the IEEE 30 bus system for the contingency analysis by incorporating the loading risk assessment strategy using the Multiclass SVM and RVM and the results are compared and the outputs are tabulated. Active power performance index and the reactive power performance index are used in contingency analysis of the IEEE 30 bus system thus used and the accuracy of classification and the speed of classification with the different methods and the contingency rankings are found and displayed. 12 30 2019 878 882 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7116.129219 https://www.ijitee.org/portfolio-item/B7116129219/ Research Scholar, Computer Science & Engineering, Presidency University, Bengaluru, India. Abhishek Pathak* Dr. C. Kalaiarasan Associate Dean-SOE, Presidency University, Bengaluru, India. Diverse use of various heterogeneous devices in Internet of Things is providing challenges and several issues in Quality of services related to Internet of Things. This paper provides the overview of Internet of Things (IoT) and standards. Factors affecting the quality of services in communication. Standards used for communication in Internet of Things (IoT) are discussed and reviews related to it is presented. RabbitMQ implementation of AMQP as well popular standard like Kafka is discussed. Quantitative and Qualitative differences between RabbitMQ and Kafka is presented. We have also discussed similarities and dissimilarities of Message Queue Telemetry Transport (MQTT) and Advanced Message Queuing Protocol (AMQP) protocols. The main objective of this review is to provide critical review of a functional view of IoT architecture, protocols and standards. 12 30 2019 883 886 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7118.129219 https://www.ijitee.org/portfolio-item/B7118129219/ Dept. of Computer Sc. and App., Prabhat Kumar College, Contai ,WB, India.. Arindam Roy* This is a heuristic investigation with risk constraint for solving the traveling salesman problem (TSP) dividing given vertices (nodes) between a prespecified number of clusters. A Heuristic based Genetic Algorithm (HbGA) is applied on each cluster to produce a Hamiltonian path based on prespecified nodes of a cluster. Each cluster must have a unique set of nodes. Finally, all Hamiltonian path of each cluster together prepare a possible Hamiltonian cycle. The efficiency of our proposed algorithm has been tested for a number of symmetric TSPLIB instances of various sizes. The computational results show the proposed algorithm works well in realistic manner. 12 30 2019 2523 2526 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7119.129219 https://www.ijitee.org/portfolio-item/B7119129219/ School of Electrical Engineering, Research Scholar, Vellore Institute of Technology, Vellore, India. S. Venkateswarlu M. Janaki* School of Electrical Engineering, Associate Professor, Vellore Institute of Technology, Vellore, India. The risk of Subsynchronous Resonance (SSR) may reduce with the hybrid of active and passive series compensations. The hybrid series compensation can be done with Static Synchronous Series Compensator (SSSC) (an active FACTS device) and fixed series capacitor (passive compensation). In this paper, we propose a Band Pass Filter (BPF) based Subsynchronous Damping Controller (SSDC) with SSSC. The aim of the paper is to increase the damping of all critical TMs with minimum number of highly frequency selective BPFs. The BPFs are used to extract the subsynchronous frequency components from electrical network. The extracted subsynchronous frequency components are used to modulate the reference value of SSSC injected voltage. Thereby, the SSSC injecting voltage can suppress the subsynchronous currents flowing in the transmission network. The linear (DQ) model is developed in MATLAB-Simulink using the differential and algebraic equations of the system. The damping torque, eigenvalue and transient simulation methods are performed with the linear model to carry out the analysis of SSR. The eigenvalue analysis is used to select the number of filters. The number of BPFs is selected in view of suppressing the torsional vibrations at all critical frequencies. The outcomes of the paper show that the negative damping is considerably diminished with the proposed SSDC in the entire range of torsional mode frequencies and mitigate SSR. 12 30 2019 5195 5200 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7121.129219 https://www.ijitee.org/portfolio-item/B7121129219/ VSS University of Technology, Sambalpur, India. Amruta Panda* N. K. Kund* VSS University of Technology, Sambalpur, India. Experiments stand performed for investigating influence of R12 refrigerant on system performance evaluation in terms of COP and TR. Temperature and pressure got measured by different temperature and pressure gauges mounted at several predetermined locations. Additionally, power consumption by refrigeration system also got measured from the installed energy meter readings. Altogether, it summarizes the tabular inscriptions of the variations of COPth, COPact and COPrel with TR for R12 refrigerant. Besides, it also demonstrates the graphical representation of the corresponding variations of COPth, COPact and COPrel with TR for R12 refrigerant. As expected, it stands observed (from both the stated table and figure) that both COPth and COPact increase with TR, however, the COPrel decreases with the same for said R12 refrigerant. Furthermore, the stated variations of COPth, COPact and COPrel with TR remain observed as approximately linear, independently. That’s why, both COPth and COPact stay directly proportional to TR, however, the COPrel stays inversely proportional to the same because of approximately linear relationship between the COPth, COPact and COPrel with TR, independently. 12 30 2019 887 891 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7122.129219 https://www.ijitee.org/portfolio-item/B7122129219/ Department of Civil Engineering, Gitam School of Technology, Bengaluru, Gitam Deemed to be university, India G V Rathnamala* Ashwini R M Department of Civil Engineering, Gitam School of Technology, Bengaluru, Gitam Deemed to be university, India Shankara Department of Civil Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, India. This study aims to explore household environmental problems in rural areas of Kolar Taluk, Karnataka. The connection between various household environmental health issues and income of the people of Kolar taluk Karnataka have been studies. The data required for the study were gathered by questionnaire from distribution method, 277 individual families were selected from 10 villages in the taluk at different subsections. After the analysis of the data samples of water were collected from bore well and open containers those used by village dwellers and analyzed for pollution parameters, Multiple regression and Chi-square analysis were done and found to be that income and environment variables are significant at 1% level in Chi-square model. Multiple regression models were predicted for low, middle and high income households with respect to contributing variables of diseases. It is found that prevailing non-latrines and water storage methods were effective parameters which have significant effect on the model. The multiple regression model predicts that 78.2% deviation in dysentery with the parameters selected, but for jaundice, it was 90.5% using water from open storage containers. It was observed that bacteriological quality of drinking water declines significantly and deterioration occurs between the point of supply to consumption. 12 30 2019 892 896 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7126.129219 https://www.ijitee.org/portfolio-item/B7126129219/ Department of Civil Engineering, Aarupadai Veedu Institute of Technology, Paiyanoor, India. Dr.P.S.Aravind Raj* F. S. Frieda Department of Civil Engineering, KCG College of Technology, Karapakkam, Chennai-97, India. Dr.S.P. Sangeetha Department of Civil Engineering, Aarupadai Veedu Institute of Technology, Paiyanoor, India. Dr.R. Divahar Department of Civil Engineering, Aarupadai Veedu Institute of Technology, Paiyanoor, India. The reinforced concrete is one of the widely used structural materials which have its own major advantages and disadvantages. Its behaviour when provided in various positions in the structural elements like compression, tension, and shear zones has significant impact. Since the concrete is excellent in the compression behaviour, and only a nominal performer in the tension behaviour, steel reinforcement are provided in required zones where tension occurs. Thus in a bending member, below the neutral axis, that is at the tension zone, the concrete acts only as a interface medium between reinforcement that carrying the tension and the concrete above neutral axis carrying compression forces. This concrete is also called as sacrificial concrete. Thus in order to efficiently use the concrete falls under the tension zone, the concrete can be swapped with any suitable lighter or cheaper material or the concrete may be strengthened to carry tensile stresses. In this present study, the concrete below neutral axis is replaced with lightweight ‘aerocon’ block cubes of 8 cu.cm and 64 cu.cm by 20% of volume of concrete and in another specimen, steel fibres are added in the concrete that are below neutral axis by 2% and 3% by weight to improve the local tensile strength of concrete as material The results obtained shows that the aerocon cubes replaced specimens has equivalent performance of the control specimen and the steel fibre added specimen had superior deflection and crack performance than the control specimen. 12 30 2019 1214 1218 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7128.129219 https://www.ijitee.org/portfolio-item/B7128129219/ Research Scholar, Department of EEE , St. Peter’s Institute of Higher Education and Research, Avadi, Chennai, India S. Nagaraj * R. Ranihemamalini Professor and Head, Department of EEE, St. Peter’s Institute of Higher Education and Research, Avadi, Chennai, India L. Rajaji Principal, ARM College of Engineering and Technology, Chennai, India Most of the devices in power system become faulty due to the large content of harmonics present in voltage and current. It is mainly caused by the conduction losses in the system. At first, it is necessary to determine the extent of harmonic present by calculating the total harmonic distortions i.e., root over sum of the integral harmonics divide by fundamental harmonic. Later, identification of type of method for reducing harmonics is essential. In this project we are mainly focusing on two types of PFC bridge boost rectifier to improve the efficiency for low and high input voltage range. It using back to back bridgeless PFC boost rectifier for high input voltage and for low input voltage range, three level bridgeless boost rectifiers respectively. Fast recovery diode instead of normal diodes for better reliability and efficiency is utilized. The end model is obtained by combining two circuits BTBBL (Back to back bridgeless boost PFC) and TLBL (Three level bridgeless boost PFC) to get the FMBL (Flexible mode bridgeless boost PFC). Due to presence of less no of components, conduction losses are less hence less distortion is observed with improved efficiency. A simulation is carried out for all three models using MATLAB Simulink platform. In hardware, TLP250 driver for MOSFET is used and which is interfaced with PIC microcontroller. The hardware results are obtained that validates the simulation results. 12 30 2019 1503 1508 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7129.129219 https://www.ijitee.org/portfolio-item/B7129129219/ Asst. Prof (Gr. II), Department of ECE, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation, Salem, Tamilnadu, India, R. Mohana Priya* R. Karthikeyan Asst. Prof(Gr-II), Department of ECE, Aarupadai Veedu institute of Technology, Vinayaka Mission’s Research Foundation, Salem,Tamilnadu, India K.Vinoth Kumar U.G Student, Department of ECE, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation, Salem,Tamilnadu,India. P. Dhaniya U.G Student, Department of ECE, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation, Salem,Tamilnadu ,India. K.Sai Heamanth U.G Student, Department of ECE, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation, Salem,Tamilnadu, India. In this work, a RFID-Enabled area following framework is proposed dependent on Airport. The arranged goals is utilized for each Push and Pull area. Both this modes can be utilized. We can utilize either dynamic or aloof labels. The use of SIP (session commencement convention) foundation alongside area situated center expansion. This strategy makes RFID Location Tracking System-RLTS a more affordable goals for progressive age correspondence administrations. This undertaking likewise manages the presentation examination, favorable circumstances and utilization of RFID innovation. In this task for session inception convention for position finding of any missing items, pets, person and so on, is created. The task remembers various reception apparatuses at better places for a predefined inclusion territories. The territory secured by the radio wire relies on its transmitted power. All receiving wires are associated in a system by means of microcontroller and eventually associated with the server through a passage organize. In this way, the solicitation might be created by any other individual for indicated questions through pc/web/phone line/versatile and so forth through 10 digit exceptional ID. 12 30 2019 3960 3963 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7133.129219 https://www.ijitee.org/portfolio-item/B7133129219/ Department of Mathematics, Maharishi Markandeshwar, Deemed to be University, Mullana, Haryana, India. Vishal Gupta* Adesh Kumar Tripathi Department of Mathematics, Maharishi Markandeshwar, Deemed to be University, Mullana, Haryana, India. Naveen Mani Department of Mathematics, Sandip University, Maharashtra, India. Fixed points in fuzzy theory plays a very significant task in the field of mathematical and computer sciences. This theory has numerous applications in the area of communication and technology, computer science and information security and many others. Many researchers established the results of point for an assortment of mappings in different metric spaces. In present paper, our aim is to establish a common fixed point theorem satisfying generalized contraction in FMS. We also bestow an application for integral type contraction. 12 30 2019 2527 2529 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7134.129219 https://www.ijitee.org/portfolio-item/B7134129219/ Assistant Professor, Dept.of CSE, GNITS, Hyderabad, India Mrs. Manju D* Dr. Seetha M Professor & HOD, Dept. of CSE, GNITS, Hyderabad, India Dr. Sammulal P Professor, Dept.of CSE, JNTUH CEJ, Hyderabad, India In the current times, tasks like Object Detection, Object tracking, Gesture prediction, Video prediction in computer vision are being solved effectively with models of deep learning . Video frame prediction involves predicting the next few frames of a video given the previous frame or frames as input. Currently, the challenge in video frame prediction is that the predicted future frames are blurry. This paper focuses on the removal of noise from the predicted image using Denoising Autoencoders, solve the above-addressed issue. The proposed work, trains LSTM model which generates future frames by giving a sequence of input frames. The predicted output is given as an input to the Denoising Autoencoders which tries to remove the blurry predictions. Our approach is implemented on Moving MNIST Dataset. The result of our proposed method improved accuracy and is compared with the accuracy of Denoising Autoencoders, LSTM, and LSTM along with Denoising Autoencoders. 12 30 2019 5296 5299 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7135.129219 https://www.ijitee.org/portfolio-item/B7135129219/ Ph.D., Department of Mechanical Engineering,VSS University of Technology, Sambalpur, India. Amruta Panda N. K. Kund* M.Tech., Manufacturing System Engineering (MSE) Specialization, Department of Production Engineering, VSS University of Technology, Sambalpur, India. Experimentations got executed for investigating influence of R12 and HR12 refrigerants on system performance evaluation in terms of COP and TR. Temperature and pressure got measured by different temperature and pressure gauges mounted at several predetermined locations. Additionally, power consumption by refrigeration system also got measured from the installed energy meter readings. Altogether, it summarizes the tabular inscriptions of the variations of COPth, COPact and COPrel with TR for R12 and HR12 refrigerants. Besides, it also demonstrates the graphical representation of the corresponding variations of COPth, COPact and COPrel with TR for R12 and HR12 refrigerants. As expected, it stands observed (from both the stated table and figure) that both COPth and COPact increase with TR, however, the COPrel decreases with the same for said R12 and HR12 refrigerants. Furthermore, the stated variations of COPth, COPact and COPrel with TR remain observed as approximately linear, independently. That’s why, both COPth and COPact stay directly proportional to TR, however, the COPrel stays inversely proportional to the same because of approximately linear relationship between the COPth, COPact and COPrel with TR, individually. Additionally, COPact decreases with the increase of Wi/p for both R12 and HR12 refrigerants. However, Qext increases with Wi/p for both R12 and HR12 refrigerants. 12 30 2019 897 902 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7136.129219 https://www.ijitee.org/portfolio-item/B7136129219/ Madda Walabu University, Engineering College, Department of Water Resources and Irrigation Engineering, Bale Robe, Ethiopia. Dereje Tolosa* Fitsum Tilahun Madda Walabu University, college of Agriculture and natural resource, department of Plant science, Bale Robe, Ethiopia. Understanding of temperature trends and their spatiotemporal variability has great significances on making deep insight for planners, managers, professionals and decision makers of water resources and agriculture. Therefore, this research was set with aim to analyze spatiotemporal variability of temperature and their time series trends over Bale Zone. Statistical analysis: Parametric test with regression analysis on the anomalies like deviation from mean and Non-parametric test with Mann-Kendall test together with Sen’s Slope Estimator & Zs statistics has been used for estimation of trends of a historical data series of monthly, seasonal and annually maximum and minimum temperature of selected meteorological stations in Bale Zone. Both tests relatively shows same results for monthly, seasonal and yearly temperature series. The coefficient of variation (CV) was used for variability analysis. Arc GIS 9.3 software was also used to investigate the spatial variability temperature (minimum and maximum) for the period under review. These methodology has shown a significant increasing and decreasing trends at 95% confidence level for certain time scale temperature series: temperature trends (i.e the mean maximum temperature series) showed a significant increasing trend in Robe (Annual, Spring, February, March, April, May, July, and October), Ginir (February, July, September, and December).Mean minimum temperature series showed a substantial increasing trend in Robe (May, July, September, and November) and Hunte (September). It is also observed that Mean seasonal and annually minimum temperature of the stations have shown higher variability than those mean seasonal and annual maximum temperature of the stations. 12 30 2019 903 916 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7139.129219 https://www.ijitee.org/portfolio-item/B7139129219/ B Tech, Students Department Of Computer Science & Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P, India R.Satya Sri* U. Laditya B Tech, Students Department Of Computer Science & Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P, India. D. Raja Ram B Tech, Students Department Of Computer Science & Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P, India K.V.D. Kiran Professor, Department Of Computer Science & Engineering Koneru Lakshmaiah Education Foundation, Vaddeswaram, Ap, India In order to improve the reliability and efficiency of the power grid, the smart grid uses different communication technologies. Smart grid allows bidirectional flow of electricity and information, about the state of the network and the preconditions of the clients, between the different parts of the network. Therefore, it reduces energy losses and generates and distributes electricity efficiently. Although smart grid improves the quality of network services, due to the nature of the power grid communication networks are exposed to cybersecurity threats along with the other threats. For example, electricity consumption messages sent by consumers to the utility through the wireless network can be captured, modified or reproduced by adversaries. As a consequence, the important challenges in smart grid seems to be security and privacy concerns. The smart grid update creates three main communication architectures: the first is communication between the utility companies and customers through diverse networks; that is, Local Area Networks (HAN), Construction Area Networks (BAN) and Neighboring Area Networks (NAN), we refer to these networks as client-side networks in our thesis. The second architecture is the communication through the vehicle-to-network (V2G) connection between the Electric Vehicles and the network to charge or discharge their batteries. The hindmost network is connection of the network with measurement units that extend throughout the network in order to monitor the status and send reports periodically to the main CC to estimate the status and detect erroneous data. The proposed schemes are promising solutions for the security and privacy problems of the three main communication networks in smart grid. The novelty of these proposed schemes is not only because they are robust and efficient security solutions, but also due to their lightweight communication and computing overhead, which qualifies them to be applicable in devices with limited capacity in the network. Therefore, this work is considered an important progress towards a more reliable and authentic intelligent network. 12 30 2019 917 923 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7143.129219 https://www.ijitee.org/portfolio-item/B7143129219/ Associate Professor, Department of Computer Science & Engineering, Dr. AIT, Bengaluru, India. Shamshekhar S. Patil* ArunBiradar Biradar Professor & Head, Department of Computer Science Engineering, East West Institute of Technology, Bengaluru, India. Although the IoT opens the door to endless possibilities, but it is also associated with many risks because all devices connected to the internet involve the use of data points. Therefore, it is essential to ensure IoT security and privacy. A review of existing research works highlights the usage of traditional security scheme based on cryptography for data transmission among IoT nodes and gateways. The proposed system proposes an integrated model that combines lightweight encryption technique with robust and cost-efficient authentication mechanism. The proposed system introduces digital signature-based authentication and complexity minimization in order to resist the involvement of any kind of unknown attacks. The simulation outcome of this model exhibits reliable security, faster response times and energy savings for IoT nodes. 12 30 2019 924 929 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7144.129219 https://www.ijitee.org/portfolio-item/B7144129219/ Department of Chemistry, Sethu Institute of Technology, Pulloor, Kariapatti, Tamilnadu, India. S. Sheik Mydeen M. Kottaisamy Department of Chemistry, Thiagarajar College Engineering, Madurai, Tamilnadu, India. V.S Vasantha* School of Chemistry, Madurai Kamaraj University, Palkalai Nagar, Madurai, Tamilnadu, India In this work, zinc oxide nanoparticles have been synthesized by cost-effective and based on the efficient cetrimide and varying solvents are using the method of co-precipitation annealing at 350 C. The resultant powder samples were characterized well by means of XRD, SEM, FT-IR, PL and UV-visible DRS spectroscopy. Among them, XRD exhibits ZnO has the structure of hexagonal wurtzite with a preferred orientation of 101 planes. It is noted in ZnO represented in SEM images have different solvents and cetrimide has a strong influence on the morphology of ZnO nanostructures that are to be sized are 50nm, 70nm, 90nm 100nm. It confirms that the changes in the band-gap from UV-vis DRS data. The presence of Zn-O confirms various functional groups decomposed in the sample from FTIR data. The PL study states that the emission band available at approximately 410nm and checks the recombination level shows low, further, it correlates with good photocatalytic properties. The sunlight measured by Lux meter and dye degradation studies is done by a simple aeration photocatalytic technique represents 95% degradations and under UV light is 85%. Besides, the scavengers of the responsive species of during the degradation were additionally examined for photocatalytic mechanism. An antibacterial activity is enhanced significantly, which is based on the attribution of Nano features of ZnO nanostructures for p. aeruginosa bacteria. Thus, this study paved the way for potential applications of photocatalytic and antibacterial activities. 12 30 2019 930 938 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7145.129219 https://www.ijitee.org/portfolio-item/B7145129219/ Research and Innovation Center for Information and Communication Technologies under Tashkent University of Information Technologies named after Al-Khwarizmi, Tashkent, Uzbekistan. Dilnoz Mukhammadieva* Shavkat Urokov Tashkent University of Information Technologies named after Al-Khwarizmi, Tashkent, Uzbekistan. In order to improve the management of the silk industry of the republic, deepen market relations and increase the export potential of enterprises of the silk complex, a simulation model of the silk complex has been developed. The article discusses the development of models and algorithms in order to predict the structure of the feed base for sericulture, the production of grains and cocoons consisting of several blocks. 12 30 2019 2530 2535 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7146.129219 https://www.ijitee.org/portfolio-item/B7146129219/ Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia, Bambang Leo Handoko* Rizky Nurviadin Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia, In some public companies, sometimes the shareholders were also becomes management, this situation is called institutional ownership. The aim to our research is acquired empirical result regarding effect of management stock owner on the company, dividend policy, returns on asset and company total asset on liability to total asset. Our research focus is on public companies which listing in Indonesia Stock Exchange along 5 consecutive years (2014 until 2018). Data collection used purposive sampling method by using 17 companies meet the criteria and take as sample. We use financial data acquired from stock exchange website. We used ordinary least square statistical analysis using statistical software to test our hypothesis. This study concluded that institutional share, dividend payment procedure, and company total asset have negative and not significant impact on company liabilities. Otherwise, profitability affect in opposite direction and significant to company liabilities. 12 30 2019 2534 2540 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7147.129219 https://www.ijitee.org/portfolio-item/B7147129219/ Research Scholar, Department of Electrical & Electronics Engineering, Sri Ramakrishna Engineering College, Coimbatore, India. S. Mumtaj * Dr.C.S. Ravichandran Professor, Department of Electrical & Electronics Engineering, Sri Ramakrishna Engineering College, Coimbatore India. Abstract— Brushless Direct Current Motor (BLDCM) has been commonly utilised in fields that necessitate high fidelity and specific control, owing to its simple structure, high power density, high efficiency, high starting torque, long operating life, and prolonged ranges of speed. While considering of the drive part of the motor, the most significant part is commutation control. During commutation, they generate some high torque ripples which is caused by non-ideal commutation currents in the stator windings which confines its application, exclusively at low-voltage fields. Some of the techniques for the mitigation of commutation torque ripples are reviewed here. A complete knowledge of commutation torque ripple was done by proposed phase advancing method for commutation control for diminishing torque pulsations for the complete ranges of speed. An analysis was made in order to design and implement an optimal current vector trajectory for reducing the torque pulsations for the complete speed range. This method utilises terminal voltage sensing technique and the terminal voltages are converted into d-q reference frame and hence those values are compared with specified values in order to generate the commutation signals. Initially the proposed system is simulated with Proportional Integral controller and then with Fuzzy Logic Controller. Simulation of the proposed system was done in MATLAB version 2013a and the results of comparison was made for both PI controller and fuzzy logic controller. 12 30 2019 3578 3582 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7150.129219 https://www.ijitee.org/portfolio-item/B7150129219/ Research Scholar, Department of Computer science and engineering ,Shree JJT University, Rajsthan , India. Mr. Vajid N Khan* Dr. Yogesh Kumar Sharma Head of Department of computer science and engineering, Shree JJT University, Rajsthan, India. The Devanagari scripts forms the backbone of the writing system of several Indian languages includes Hindi, Sanskrit and Marathi. With the increased demand, exploration and globalization of digital Devanagari documents, different printed and handwritten document recognition techniques have involved since last two decades. In literature many methods of Devanagari script recognition have been used but it is not able to attain the best results in recognition. Hence, in this paper is proposed Ant Miner Algorithm (AMA) for recognition and text generation of handwritten Devanagari Marathi Scripts. The proposed method recognition process is working with the four different stages such as pre-processing, segmentation, feature extraction and recognition with text generation. The first stage pre-processing is consists of skew correction, noise removal and binarization. The second stage is segmentation that contains the line segmentation, word segmentation and character segmentation. The third stage is feature extraction method it contains four methods such as Scale Invariant Feature Transform (SIFT), Linear Discriminant Analysis (LDA), Discrete Cosine Transform (DCT) and Local Binary Pattern (LBP). The final stage is recognition and text generation with attain with the help of AMA algorithm. It works based on the two phases such as training and testing phase. The proposed method is implemented in the python platform and it compared with the Artificial Neural Network (ANN) and K-Nearest Neighbours (KNN). The performance of the proposed method is analysed with statistical measurements of accuracy, precision and recall. 12 30 2019 2541 2551 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7163.129219 https://www.ijitee.org/portfolio-item/B7163129219/ Department of Electronic Engineering, BS West Virginia university Charlottesville. Ahmed H. Almutairi* Esam alsumait Department of Medical Electronic in College Of Technology, PAAET Adailiyah, Kuwait. This paper is reviewing and discussing the CMOS transistor and how to be used in Logic gates and the power consumption during operation and the application. 12 30 2019 2552 2558 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7165.129219 https://www.ijitee.org/portfolio-item/B7165129219/ Department of Computer Science, Alagappa University, Karaikudi, India. S.Clement Virgeniya* Dr.E. Ramaraj Professor & Head, Department of Computer Science, Alagappa University, Karaikudi, India. Scientific Knowledge and Electronic devices are growing day by day. In this aspect, many expert systems are involved in the healthcare industry using machine learning algorithms. Deep neural networks beat the machine learning techniques and often take raw data i.e., unrefined data to calculate the target output. Deep learning or feature learning is used to focus on features which is very important and gives a complete understanding of the model generated. Existing methodology used data mining technique like rule based classification algorithm and machine learning algorithm like hybrid logistic regression algorithm to preprocess data and extract meaningful insights of data. This is, however a supervised data. The proposed work is based on unsupervised data that is there is no labelled data and deep neural techniques is deployed to get the target output. Machine learning algorithms are compared with proposed deep learning techniques using TensorFlow and Keras in the aspect of accuracy. Deep learning methodology outfits the existing rule based classification and hybrid logistic regression algorithm in terms of accuracy. The designed methodology is tested on the public MIT-BIH arrhythmia database, classifying four kinds of abnormal beats. The proposed approach based on deep learning technique offered a better performance, improving the results when compared to machine learning approaches of the state-of-the-art. 12 30 2019 2559 2562 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7166.129219 https://www.ijitee.org/portfolio-item/B7166129219/ Research Scholar in the Department of Computer Applications (MCA) at SRK University, Bhopal, India. Amit Kumar Mandle* Varsha Namdeo Associate Professor in the Department of Computer Science and Engineering at SRK University, Bhopal, India. The object of this paper is to established a symmetric key algorithm for encryption and decryption of a message involving musical notes (India and Western) and genetic algorithm. This algorithm does not only encrypt the message but it also reduces the chance of deciphering from hackers. 12 30 2019 2563 2565 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7168.129219 https://www.ijitee.org/portfolio-item/B7168129219/ Department of CSE ,Koneru Lakshmaiah Education Foundation, A.P, India. S.Satya Bhargavi* P.Madhu Priya Department of CSE, Koneru Lakshmaiah Education Foundation, A.P, India. K. Shanmukh Department of CSE, Koneru Lakshmaiah Education Foundation, A.P, India. A.Vijaya Kumar Department of CSE, Assistant professor at Koneru Lakshmaiah Education Foundation, A.P, India. Data in the cloud is leading to the more interest for cyber attackers. These days’ attackers are concentrating more on Health care data. Through data mining performed on health care data Industries are making Business out of it. These changes are affecting the treatment process for many people so careful data processing is required. Breaking these data security leads to many consequences for health care organizations. After braking security computation of private data can be performed. By data storing and running of computation on a sensitive data can be possible by decentralization through peer to peer network. Instead of using the centralized architecture by decentralization the attacks can be reduced. Different security algorithms have been considered. For decentralization we are using block chain technology. Privacy, security and integrity can be achieved by this block chain technology. Many solutions have been discussed to assure the privacy and security for Health care organizations somehow failed to address this problem. Many cryptographic functions can be used for attaining privacy of data. Pseudonymity is the main concept we can use to preserve the health care means preserving data by disclosing true identity legally. 12 30 2019 2566 2573 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7171.129219 https://www.ijitee.org/portfolio-item/B7171129219/ Doctor of Economics, Professor Department of Managementand Economic Processes Administration, first Vice-rector, Ноblyk V.V.* Shcherban T.D. Doctor of Psychology, Professor Department of Psychology, rector, Kobal V.I. Associate Professor of the Department of Pedagogy, Psychology and Wellness Technology, Vice-Rector Movchan K.M. Senior Lecturer Department of philological disciplines and social communications, LendielO. D. Senior lecture of the Accounting, Taxation and Marketing Chair, The Carpathian region of Ukraineincludes the territory of Transcarpathian, Ivano-Frankivsk, Lviv and Chernivtsi oblasts with an area of 5660.7 thousand hectares (9.4% of the state territory) and is a true natural pearl of our country, where 22% of forests, 26% of nature reserve fundland is concentrated, 36% of river water resources are formed, 42% of unique and rare underground mineral water deposits are located. There is an intensification of ecologically unfavorable phenomena in the Carpathian region of Ukraine - threatening and catastrophic floods, soil erosion, pollution of surface and groundwater, windfalls, damage to forests by pests and diseases. The mineral base of the region has 271 deposits of more than 30 mineral resources of Transcarpathia.It is one of the most studied gold-bearing provinces in Ukraine. Almost 55 tonnes of gold have been explored here - the Muzhiivsky deposit and the Sauliak deposit. The Muzhiivskygold-polymetallic deposit with a gold content of 4.5-15 g/t in ore was put into commercial development in 1999. Since 2006, gold production has been suspended. Ore dumps stockpiled at an industrial site are a source of pollution of surface and underground waters [1]. The purpose of the article is to investigate the current ecological state of surface water within the Muzhiivsky gold-polymetallic deposit. Research methods. Landscape-ecological, hydrochemical method, statistical analysis, literature analysis, and stock materials have been used in the article. Results. Based on the results of geoecological studies of the territory of the gold-polymetallic deposit, the state of surface water has been assessed. According to the processed results of the analysis of water samples, it has been revealed that the main sources of pollution are two dumps of ore and ore-bearing rocks containing sulfides and oxides of heavy metals. Under the influence of atmospheric precipitation, weathering of ore-bearing rocks and oxidation of sulfides FeS, ZnS, PbS, CdS take place. At the bottom of the dumps, waters are formed with increased mineralization, low pH, enriched with sulfides and heavy metals, which flow into drainage channels and subsequently spread in the region’s water system. Based on the research data, a scheme of the process of groundwater pollution by dumps has been developed. It has been found that in the ore location zone near the rural settlement the filtrate from the dumps flows into drainage channels containing salts of the main types of heavy metals (cadmium, chromium, lead, zinc, copper)and exceed the maximum permissible norms. Considering that the Muzhiivsky gold-polymetallic deposit is not used due to the shutdown of the gold processing factory, it is necessary to develop a program to neutralize its negative impact on the environment. 12 30 2019 2574 2577 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7173.129219 https://www.ijitee.org/portfolio-item/B7173129219/ Department of Applied Science, PVG’S College of Engineering, Nashik, Maharashtra, India. Yogita M. Ahire* Kirtiwant P. Ghadle Department of Mathematics, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India. Ahmed A. Hamoud Department of Mathematics, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India. A hollow cylinder having cylindrical hole at the center has been examined under the temperature variation condition. This composition deals with study of temperature distribution in thin hollow cylinder and corresponding stresses. The author has worked to carry out the transient thermo elastic problem for evaluation of temperature distribution, displacement and thermal stresses of a thin hollow cylinder. The known non homogeneous boundary conditions are applied to obtain the solution of this problem. The integral transform technique yields the solution to the problem. The analysis contains an infinite series. The variation of said parameters observed and analyzed by using necessary graphs. 12 30 2019 2578 2583 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7175.129219 https://www.ijitee.org/portfolio-item/B7175129219/