-4d90550d17f4602e089130f 20220627021020297 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 11 30 2019 8 4 St. Petersburg State University of Economics, St. Petersburg, Russian Federation. Vitaly Anatolievich Mordovets Sergey Igorevich Andreev Military Medical Academy named after S.M. Kirov Russian Ministry of Defense, Saint-Petersburg, Russian Federation. Olga Vladimirovna Averyanova St. Petersburg State University of Economics, St. Petersburg, Russian Federation. Aleksandr Aleksandrovich Grafov St. Petersburg State University of Economics, St. Petersburg, Russian Federation. Alexey Mikhailovich Shunaev St. Petersburg State University of Economics, St. Petersburg, Russian Federation. The goal of the article is to study the initiatives existing in Russia and abroad for neutralizing the threats of the organization involvement in corruption offenses, which include business, among other things, to analyze anti-corruption practices of Russian companies, as well as to offer recommendations for the application of anti-corruption efforts in the Russian corporate sector. The relevance of anti-corruption corporate measures has been substantiated in the article, and the international practice of their application has been analyzed. The nature and main characteristics of the anti-corruption policy of commercial organizations have been determined based on an expert survey. At the end, the conclusions have been drawn about the need for systemic transformations at the level of the business environment: adoption of internal corporate policies and compliance programs at the company level, implementation of an internal control system, and formation of a culture of rejecting corruption within the company at the level of top managers and other employees. 11 30 2019 8906 8911 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9529.118419 https://www.ijrte.org/portfolio-item/D9529118419/ Research Scholar, Department of Computer Science Engineering, PRIST University, Thanjavur, Tamil Nadu, India. G.Senthil Kumaran* S. Jaisankar Professor, Department of Mechanical Engineering, Star Lion College of Engineering & Technology, Thanjavur, Tamil Nadu, India. The performance of the solar collector was experimentally studied under the different twist conditions namely helical twist, helical with left right twist and screw twist, L/D ratio (i.e., 0, 3 and 6) and time. Based on the standard relationship, efficiency of the collector was calculated for the different experimental combinations. Further, the significance of solar collector process parameters was identified by statistical analysis. Also the optimal solar collector process parameters to achieve the maximum the efficiency was identified and a mathematical regression was generated to forecast the efficiency of the solar collector. 11 30 2019 8912 8915 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9530.118419 https://www.ijrte.org/portfolio-item/D9530118419/ Department of Economic Theory, Macro- and Microeconomics, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine Anzhela Ignatyuk* Nina Khumarova Department of Economic Regulation of Environmental Management, Institute of market problems and economic-ecological research of NASU, Odessa, Ukraine Andrii Vitrenko Department of Economic Theory, Macro- and Microeconomics, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine Oksana Kuzmenko Department of Entrepreneurship, Trade and Exchange Activities, Alfred Nobel University, Dnipro, Ukraine Hanna Koptieva Department of management and taxation, National Technical University “Kharkiv Polytechnic Institute”, Kharkiv, Ukraine Andrii Doroshenko Department of Economic Theory and Economic research, Poltava State Agrarian Academy, Poltava, Ukraine The development of diversification enables the enterprise to provide economic security, achieve competitive advantages and minimise the risks of its activities. The research in the article is divided into three main blocks: In the first, the theoretical foundations for substantiating the choice of strategy for diversification of the production enterprise were summarized. The second proposes a methodologyof technology of choice of production strategies for ensuring the safety of the enterprise activity. The third block contains the development of recommendations to justify the choice of diversification strategy:the mechanism of formation and realization of diversification policy of the enterprise is offered;the use of the peer review method to justify the choice of diversification strategy is clearly presented (possible directions of strategy of diversification of activity are identified and the most promising directions of strategy of diversification of activity of investigated enterprise are selected by the method of a priori ranking);developed the methodological foundations for managing the diversification strategies of an industrial enterprise, which is a necessary element of the systematic support of the strategy of diversification of the enterprise activity (proposed an integrated algorithm for managing the diversification strategies of industrial enterprises; a fragment of the matrix of the choice of the type of diversification was developed, based on the goals and motivational reasons;the hierarchical structure of the decision-making system for the choice of rational diversification strategy is proposed and the scale of values of confidence coefficients is developed. 11 30 2019 8916 8924 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9531.118419 https://www.ijrte.org/portfolio-item/D9531118419/ Professor, Department of Management Studies, PES University, Bangalore Dr C. Sivashanmugam* Sowmya. S Assistant Professor, Department of Commerce, Sadhana College, Bangalore. Research Scholar-Bharathiar University Coimbatore. Buyback of shares is the company’s strategic move to decrease the outstanding shares in the market by buying its own shares from their own shareholders. This study is an effort to analyse the effect of share buyback announcement by manufacturing companies in India, considering 182 events from both the tender offer and open market method from financial year 2000-01 to 2018-19. The event study methodology from the market model has been considered to attain the Abnormal returns (AR). Stock return and market return both are calculated from the daily market data of BSE. BSE S&P SENSEX is considered as benchmark index for the calculation of market return. The market reaction to buyback offers are positive in India according to most of the previous studies, the same is observed even in this study on select manufacturing companies. 11 30 2019 9342 9353 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9538.118419 https://www.ijrte.org/portfolio-item/D9538118419/ Doctor of Economic Sciences (Advanced Doctor), Professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia, Z.A. Kevorkova* A.K. Esenova Graduate Student of Department of the Accounting, Analysis and Audit, Financial University under the Government of the Russian Federation, Moscow, Russia This paper deals with the history, essence, meaning, and regulation of the value-added tax as the major source of the state revenue. 11 30 2019 9354 9357 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9541.118419 https://www.ijrte.org/portfolio-item/D9541118419/ Professor, Doctor of Economic Sciences, North Caucasus Institute (branch) of Justice, (Federal State Budgetary Educational Institution of Higher Education Russian Law, Academy of the Ministry of Justice of the Russian Federation), Russian Federation Morunov Vitaliy Alibekov Shakhizin* Viktorovich Associate Professor, PhD in Economic Sciences, Kazan National Research Technological University (Federal State Budgetary Educational Institution of Higher Education KNRTU), Bugulma Branch, Bugulma, Russian Federation Nurmukhametov Associate Professor, PhD in Economic Sciences, Kazan State Institute of Culture, Kazan The analysis of the category "fact of economic life" in accordance with the legislation on accounting in the Russian Federation has been carried out, the elemental decomposition of this category has been carried out, each of the selected elements has been analyzed, and substantiating conclusions have been formulated. As a result of the work the author's definition of the fact of economic life has been formulated and proposed, which, according to the authors, most fully reflects the essence of the category "fact of economic life". 11 30 2019 8925 8928 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9550.118419 https://www.ijrte.org/portfolio-item/D9550118419/ School of Computer Science and Engineering,, VIT – Vellore Institute of Technology, Vellore, India. S. Sivanesan* S.P. Shantharajah School of Information Technology and Engineering,, VIT – Vellore Institute of Technology, Vellore, India Due to technological evolution, the interaction between the user with local ambiance, the user with remote ambiance, and the user with machines become achievable as well as required reality. Also, process automation in manufacturing, as well as service industries, become a mandatory requirement. In the past interaction with ambiance was isolated and highly limited. Even the process automation was done secluded ways and was implemented using various independent single-purpose embedded systems. Since every such automation thrives to meet the non-functional requirements like cost, performance, reliability, availability, flexibility, and recoverability, the task of automation must be carried out at all possible levels. Moreover, such automation must be realized in cohesive and collaborated mode. These critical requirements have changed the landscape of interaction among different entities like man, machine, process, and Environment. The emergence of new technology namely “Internet of Things” has opened up several avenues to address as well as to meet above mentioned non-functional requirements. Already embedded system has revolutionized process automation across various industries but true automation or optimal automation requires meaningful interaction among man, machine, process, and environment. Hence, IoT objects along with other traditional systems are required to be interconnected to accomplish the best interaction which leads to smart living spaces as well as workspaces. However, these smart IoT objects are inherently made up of constrained resources such as limited computing ability, less storage capacity, and inadequate communication capability. Therefore, traditional network connectivity such as Ethernet LAN, Wi-Fi, Bluetooth LE, and other networking facilities may not provide customized as well as the optimized interconnection among these resources constrained IoT objects. Hence, an alternate topology is required to interconnect these IoT objects in an adaptable and optimized mode. Hence, this paper proposes a neuro-fuzzy driven context- aware optimized topology (NuCoT) for the interconnection of different IoT objects. 11 30 2019 8438 8444 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9554.118419 https://www.ijrte.org/portfolio-item/D9554118419/ School of Basic & Applied Sciences, K R Mangalam University, Gurugram, Haryana, India Sushil Kumar* Sunil kumar Ramjas College, University of Delhi, Delhi-7, India Pawan Kumar* School of Basic & Applied Sciences, K R Mangalam University, Gurugram, Haryana, India The large amount of available data of stock markets becomes very beneficial when it is transformed to valuable information. The analysis of this huge data is essential to extract out the useful information. In the present work, we employ the method of diffusion entropy to study time series of different indexes of Indian stock market. We analyze the stability of Nifty50 index of National Stock Exchange (NSE) India and SENSEX index of Bombay Stock Exchange (BSE), India in the vicinity of global financial crisis of 2008. We also apply the technique of diffusion entropy to analyze the stability of Dow Jones Industrial Average (DJIA) index of USA. We compare the results of Indian Stock market with the USA stock market (DJIA index). We conduct an empirical analysis of the stability of Nifty50, Sensex and DJIA indexes. We find significant drop in the value of diffusion entropy of Nifty50, Sensex and DJIA during the period of crisis. Both Indian and USA stock markets show bull market effects in the pre-crisis and post-crisis periods and bear market effect during the period of crisis. Our findings reveal that diffusion entropy technique can replicate the price fluctuations as well as critical events of the stock market. 11 30 2019 9358 9362 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9559.118419 https://www.ijrte.org/portfolio-item/D9559118419/ Electrical Engg. Deptt KNIT Sultanpur, India. Varun Kumar A S Pandey Electrical Engg. Deptt KNIT Sultanpur, India. S K Sinha Electrical Engg. Deptt KNIT Sultanpur, India. Large capacity wind farm are used to fulfil the demand of power now days. Stability of these wind farms is the main concern when integrating with the large power system. FACTS devices are employed with the system to advance the dynamic time responses of the system. In this paper a comparative analysis of STATCOM and SVC has been done. At the place of conventional controllers like P, PI, PID fuzzy logic control (FLC) has been used in the FACTS devices used. These FACTS devices are used to improve the power quality of the overall system. To inspect the system performance and analyze the behavior of the system a three phase to ground fault has been taken into account at two different locations, the software used for modelling and simulation is MATLAB/Simulink. Results demonstrate damping and oscillations of Fuzzy controlled STATCOM and SVC based system.The comparative analysis shows that the system with FLC based STATCOM has better performance than the FLC based SVC and fast fault clearance. 11 30 2019 12346 12354 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9561.118419 https://www.ijrte.org/portfolio-item/D9561118419/ Department of English, PSG Institute of Technology and Applied Research, Coimbatore, India. Mrs.R.Tamil Selvi* Dr.G. Chandramohan Department of Mechanical Engineering, PSG Institute of Technology and Applied Research,Coimbatore, India. Mr.V.Navin Ganesh Department of Civil Engineering, PSG Institute of Technology and Applied Research, Coimbatore, India. Dr.D. Elangovan Department of Mechanical Engineering, PSG Institute of Technology and Applied Research,Coimbatore, India. Technology plays a major role in the easement of teaching and learning in engineering education. Novel techniques adopted in the recent days, have resulted in a huge success on the part of educators. These techniques create a great difference in the instructional delivery, with real-time impact on the understanding and learning of students. In this context, Model Based Teaching and Learning (MBTL) is identified as one such resourceful method to teach certain educational concepts which require imagination. Use of models within the pedagogy of engineering education promotes meta cognitive thinking skills of students. The purpose of this research was to examine the advantages of adopting model – based teaching and learning for the course, Engineering Drawing for first year engineering students. A class of 120 Engineering students during the second semester participated in the research. The students were randomly grouped into two groups of each 60 in order to receive different treatments. The first group was identified as the Control group (CG) which was taught concepts of Engineering Drawing using traditional lecture method, while the second group, the Experimental Group (EG) was facilitated with models related to projection of lines and orthographic projections. The results revealed that using models had a significant impact on the academic achievement of the students. Based on their performance in the continuous assessment, it was concluded that models were very helpful in improving the marks, and also played an effective role in the comprehension of concepts. 11 30 2019 9363 9367 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9582.118419 https://www.ijrte.org/portfolio-item/D9582118419/ Doctor of Economic Sciences Professor, Department of of Business Economics and Entrepreneurship, SHEE «Kyiv National Economic University named after Vadym Hetman», Kyiv, Ukraine, Kateryna Andriushchenko* Viktoriia Kondarevych PhD-student Department of Business Economics and Entrepreneurship, SHEE «Kyiv National Economic University named after Vadym Hetman», Oleksandr Datsii Doctor of Economic Sciences, Professor, Head of the Department of Finance, Banking and Insurance, University: Interregional Academy of Personnel Management Dmytro Mishchenko Doctor of Sciences (Public Administration), Professor, Department of State, Local and Corporate Finance, University of Customs and Finance Ljudmyla Ivashova Doctor of Sciences in Public Administration, Professor, Department of Public Administration and Customs Administration, University of customs and finance Nataliia Levchenko Doctor of Sciences in Public Administration, professor,Department of entrepreneurship, trade and exchange activities, National University "Zaporizhzhia polytechnic Konstantin Pivovarov Doctor of Science in Public Administration, docent, Department of Public Administration, Interregional Academy of Personnel Management Igor Kutashev Doctor of political sciences, docent, Department of Philosophy and Political Science, Interregional Academy of Personnel Management The article substantiates the relevance of scientific understanding of those changes in the activities of companies that are observed during the development and application of digital technologies. The article highlights the positions of dialectical logic, explains the reasons for the transformation processes in the digital age, in accordance with which today the conditions for the activities of companies are changing. It is clear that the digital transformation includes purchases, sales, management of logistics, expenses, promotion of advertising, production. An model for maximizing profits for an enterprise using the apparatus of fuzzy sets is constructed, parameters that affect profit are determined.. 11 30 2019 8929 8935 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9586.118419 https://www.ijrte.org/portfolio-item/D9586118419/ School of civil engineering, SASTRA deemed university, Thanjavur. Tamil nadu, india. K. Sasireka* D. Deepa* School of civil engineering, SASTRA deemed university, Thanjavur. Tamil nadu, india K.S. Dhivya Department of civil, PERI Institute of Technology mannivakkam,chennai.Tamilnadu, India Municipal solid waste (MSW) has become a severe environmental threat with more urbanization and a enormous shift in people's lifestyles in our nation over the past two to three centuries.the waste generation of a person towards MSW is increasing unprecedented from 0.6-0.8 kg in the 1990s to more than 1.5 kg and more articles over "use - and-throw" are playing a significant role in our daily operations. Solid waste management eliminates adverse impacts in surrounding and enhances the economic growth and superior value of life. The main emissions from the handling and management procedures of MSW are CO2 and NH3. Consequently, adequate management of MSW becomes essential to offset the GHG (Green House Gasses). Hence Proper management of MSW becomes essential to offset GHG (Green House Gasses), which would otherwise contribute strongly to the domestic anthropogenic GHG budget. This paper is intended to assess techniques for managing MSW in the context of GHG decrease as a Climate Change mitigation project in Chidambaram. IPCC Model projected methane to be 908,1023Mg / year in Chidambaram for a 25-year credit period. 11 30 2019 9368 9371 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9596.118419 https://www.ijrte.org/portfolio-item/D9596118419/ Department* of ECE, Sreyas Institute of Engineering and Technology, Hyderabad, India Dr.J. Pandu Dr.N.Murali Krishna Department of ECE, Sreyas Institute of Engineering and Technology, Hyderabad, India, In the war prone global arena where every target of an enemy, on and off the land to be kept on eagle’s eye watch and to deceive enemy’s counter measure technologies, there is a strong requirement for most secured signal design which domicile maximum detection range along with high range resolution, to flare them up .The efficiency of the system mainly depends on how much power the generated pulse may possess in the main lobe to that of the side lobes and how independent they are from one another. The measure of Autocorrelation and cross correlation exhibited by polyphase coded sequence is determined mathematically. Multi input and multi output possesses best potential in mitigating the effects of fading, enhancing the resolution, suppressing the signal jamming and interference, which are all very useful in improving the target detection and recognition performance of the system. Recently, most optimization researches of polyphase codes are carried out by genetic algorithm (GA), Particle swarm optimization (PSO) and simulated annealing (SA) but this technique require more parameters for optimization. In order to overcome these difficulties modified PSO algorithm is adopted in the present research to optimize the polyphase coded sequence. The obtained codes are also put for Doppler resilience by including Doppler shift in the process of generation of the codes. 11 30 2019 9372 9376 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9601.118419 https://www.ijrte.org/portfolio-item/D9601118419/ M.Tech Cad/Cam Scholar, Dept. Of Mech. Engg., Sreenidhi Institute Of Science & Technology, Hyderabad, India Ambae Rakesh* D. Kondayya Professor, Dept. Of Mech. Engg., Sreenidhi Institute Of Science & Technology, Hyderabad, India Turning of Ti6Al4V alloy presents a great challenge and opportunity for the machinist. In this paper, multi-target and process modelling advancement of a machining parameters in plain turning of Ti6Al4V alloy are presented using two evolutionary approaches namely Gene Expression Program (GEP) and Non-Dominated Sorting Genetic Algorithm II (NSGA II).The three controlling factors in turning namely, speed (N), feed rate (f)and depth of cut (Dc) are designed as a input parameters, while Material Removal Rate (MRR) and Surface Roughness(Ra) are the measured outputs. The data used in the GEP model is taken by doing several turning experiments within the experimental domain. As the responses MRR and Ra are conflicting in nature, so that NSGA-II has been used as it is a multi-objective optimization technique to obtain the optimal solutions. 11 30 2019 9377 9381 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9603.118419 https://www.ijrte.org/portfolio-item/D9603118419/ Full-time Research Scholar, Department of Master of Computer Application, Siddaganga Institute of Technology, Tumakuru, India and affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India. Leena H.U.* Premasudha B.G. Professor Department of MCA, Siddganga Institute of Technology, Tumakuru, Karnataka, P.K. Basavarja Professor & Scheme Head, H. Mohamed Saqeebulla, Senior Research Fellow and G.V. Gangamrutha, Research Associate AICRP on STCR, Department of Soil Science & Agricultural Chemistry, UAS, GKVK, Bengaluru 560065, India. H. Mohamed Saqeebulla working as Research Fellow in AICRP on STCR, Dept. of Soil Science & Agril. Chemistry UAS, GKVK, Bangalore - 560 065, India. G. V. Gangamrutha working as Senior Research Fellow in the scheme AICRP on STCR, Department of Soil Science and Agricultural Chemistry, University of Agricultural Sciences, G.K.V.K., Bengaluru, Karnataka. Digitization of agriculture has tremendously increased in the adoption of various advanced techniques in the Indian agricultural sector. One of the core agriculture objectives is preserving soil fertility. To achieve this efficient soil fertility management alongside an effective spatial distribution of soil nutrient properties is required. The main objective of this study is to evaluate and propose the best interpolation technique on estimating the soil nutrients status to provide site-specific fertilizer recommendations through the Soil Test Crop Response target yield approach. In this study, we have focused on three major soil nutrients viz., nitrogen (N), phosphorus (P2O5) and potassium (K2O) for evaluation. The benchmarking study has considered four most successive interpolation techniques like Ordinary Kriging (OK), Radial Basis Function (RBF), Inverse Distance Weighted (IDW), and Global Polynomial Function (GPI). The evaluation and analytical results proved Ordinary Kriging is better by securing the highest accuracy against other interpolation techniques concerning RMSE and ME for interpreting the soil nutrients N, P2O5, and K2O. The interpreted values are also cross-validated with actual soil test samples with an accuracy of more than 85% for each nutrient. Nevertheless, these results are dependent on the number of actual soil test samples and the accuracy of the designed network with overall accuracy between the interpreted and the actual data. 11 30 2019 9382 9387 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9606.118419 https://www.ijrte.org/portfolio-item/D9606118419/ Department of Computer Science and Engineering, Babaria Institute of Technology, Vadodara, Gujarat, INDIA. Swapnil M Parikh* Saurabh A Shah Department of Computer Engineering, C U Shah University, Wadhwan, Surendranagar, Gujarat, INDIA. Narendra M Patel Department of Computer Engineering, Birla Vishwakarma Mahavidydyalaya, V V Nagar, Gujarat, INDIA. Cloud Computing is Internet based computing where one can store and access their personal resources from any computer through Internet. Cloud Computing is a simple pay-per-utilize consumer-provider service model. Cloud is nothing but large pool of easily accessible and usable virtual resources. Task (Job) scheduling is always a noteworthy issue in any computing paradigm. Due to the availability of finite resources and time variant nature of incoming tasks it is very challenging to schedule a new task accurately and assign requested resources to cloud user. Traditional task scheduling techniques are improper for cloud computing as cloud computing is based on virtualization technology with disseminated nature. Cloud computing brings in new challenges for task scheduling due to heterogeneity in hardware capabilities, on-demand service model, pay-per-utilize model and guarantee to meet Quality of Service (QoS). This has motivated us to generate multi-objective methods for task scheduling. In this research paper we have presented multi-objective prediction based task scheduling method in cloud computing to improve load balancing in order to satisfy cloud consumers dynamically changing needs and also to benefit cloud providers for effective resource management. Basically our method gives low probability value for not capable and overloaded nodes. To achieve the same we have used sigmoid function and Euclidean distance. Our major goal is to predict optimal node for task scheduling which satisfies objectives like resource utilization and load balancing with accuracy. 11 30 2019 9388 9394 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9702.118419 https://www.ijrte.org/portfolio-item/D9702118419/ PhD scholar, VISTAS, Chennai-117, India. M. Shanmugapriya Dr. S.N. Sugumar* Prof and HOD, Department of Economics,\VISTAS, Chennai -117, India, Everything in the Universe Exist, act and react as per a System. Each and everyone in the Universe has certain rules and regulations Pure Science, Social science, engineering, Medicine are not exemptions to this. Similarly, there is a system for living and non - living beings. People are healthy and happy as long as they align with the law of nature and the way of life. Deviation from the system means deviation from happiness. The field work reveals that those who deviate the system are suffering from multiple disease. 11 30 2019 9395 9397 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9706.118419 https://www.ijrte.org/portfolio-item/D9706118419/