-74813b3e17f460286df1da7 20220704034439222 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 2 9 Department of Electronics & Communications Engineering, Sri SatyaSai University of Technology and Medical Sciences, Sehore, India. Gangiregula Subbarao Venkata Lakshmi Narayana K. School of Electrical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India. Naveen Kumar V.* School of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India. Pranav Sanghavi Department of Computer Science and Electrical Engineering, West Virginia University, Morgan Town, West Virginia, USA. In this paper, a virtual flow sensor using artificial neural networks (ANN) is proposed to improve the efficiency of an industrial flow control loops. In conventional flow-control loop, flow meters used for sensing flow rate in the feedback path cause pressure drop in the flow. This may increase the energy usage for propelling the fluid. The functional relation between the flow rate and the physical properties of the flow through the final control element such as control valve is known and the said properties namely pressure drop, temperature, and valve position are yielded from an experimental set-up. These properties are used as training data for ANN models to yield the fluid flow rate through the control valve. Here, the ANN acts as a virtual flow sensor. The feasibility of the proposed methodology is validated by using real measurement of flow and used them to model virtual flow sensor using the multi-layer perceptron artificial neural networks (MLP-ANN) with back propagation (BP) algorithm. Moreover, its practical proof of concept is demonstrated by implementing the trained MLP-ANN on a Spartan-3E-starter Field Programmable Gate Array (FPGA) unit through a hardware co-simulation. 12 30 2019 4081 4087 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7703.129219 https://www.ijitee.org/portfolio-item/B7703129219/ Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India. Parikshith H Naga Rajath S M Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India. Shwetha D* Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India. Sindhu C M Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India. Ravi P Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India. Handwritten text recognition is a laborious task because humans can write a similar message in numerous ways or due to huge diversity in individual’s style of writing. The performance of text recognition systems implemented as neural networks has better results and accuracy than normal traditional classifiers. In this paper we explore the methods used to recognize and detect handwritten text or words in different languages. The major method used to recognize text is the Convolutional neural network (CNN) as a deep learning classifier. The other techniques used are Recurrent Neural Network (RNN) and a custom developed model called deep-writer, which is a variant of CNN architecture. 12 30 2019 4088 4092 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7705.129219 https://www.ijitee.org/portfolio-item/B7705129219/ Doctor of Economic Sciences, Professor, Professor Department of Business Economics and Entrepreneurship, SHEE «Kyiv National Economic University named after Vadym Hetman», Kyiv, Ukraine Andriushchenko Kateryna* Mariia Tepliuk Candidate of Economic Sciences, Associate Professor of the Department of Business Economics and Entrepreneurship, SHEE «Kyiv National Economic University named after Vadym Hetman», Kyiv, Ukraine, Igor Vinichenko Doctor of Economic Sciences, Professor, Head of Department of the Economic, Faculty of Management and Marketing, Dnipro State Agrarian and Economic University, Dnipro, Ukraine, Olena Nesterenko Candidate of Juridical Sciences, Senior lecturer of the Department of Public Administration and law, Dmytro Motornyi Tavria State Agrotechnological University, Melitopol, Zaporozhye region Ljudmyla Yefimenko Candidate of Public Administration, Senior lecturer of the Department of Public Administration and law, Dmytro Motornyi Tavria State Agrotechnological University, Melitopol, Zaporozhye region, Maksym Budiaiev Candidate of Economic Sciences, Senior Lector of the Department of Business Economics and Entrepreneurship, SHEE «Kyiv National Economic University named after Vadym Hetman», Kyiv, Ukraine, The aim of the article is to summarize theoretical principles and practical experience regarding the relationship between the investment attractiveness of innovative projects and economic growth. The methods of correlation and regression analysis, extrapolation and modeling are used. The subject of the study was the features and patterns of the formation, use and regulation of the policy for assessing the investment attractiveness of company’s innovative projects in modern economic conditions. In the course of the study, an algorithm was developed to assess the size and level of investment attractiveness of the algorithm is based on the allocation of components of the enterprise’s potential. It is indicated that models for evaluating efficiency and cost should take into account not only future cash flows, but also non-financial indicators. Are proposed the construction of a multivariate model based on regression analysis. The essence of this model is to combine the traditional method of correlation analysis with least squares. This approach has the main advantage - relatively high accuracy and low costs in the construction and forecasting. The proposed model of a system for ensuring the investment attractiveness of innovative projects of companies consists of two main subsystems - information-analytical and implementation-control. These blocks provide results that allow you to increase investment attractiveness, as well as timely determine the external and internal risks of the enterprise. 12 30 2019 5111 5122 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7714.129219 https://www.ijitee.org/portfolio-item/B7714129219/ Research Scholar, School of Computing Science and Engineering, Vellore Institute of Technology Chennai Campus, Chennai, India. S Saravanan* M Sivabalakrishnan Associate Professor, School of Computing Science and Engineering, Vellore Institute of Technology Chennai Campus, Chennai, India. Recently, security for the image is becoming very important. Image Encryption is the only choice in protecting the digital image by transforming the image into an unreadable format. There are many methods used to protect against unauthorized access. This research proposes a framework for image encryption using Chaos Baker map with SHA-1 algorithm. The Chaotic Baker map is a randomization technique used to make the pixels more shuffled. Key generation is essential part of image encryption, which will be carried out by SHA-1 algorithm. Experimental results show that the proposed method is well suited for high security, key sensitivity and resists various attacks. 12 30 2019 4093 4097 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7716.129219 https://www.ijitee.org/portfolio-item/B7716129219/ Department of Engineering, Mining Engineering Section, Pontificia Universidad Católica del Perú, Lima, Peru. Alexi Delgado* Henry Farfan, Jesús Pantoja Diego Alonso, Environmental Engineering Faculty, Universidad Nacional de Ingeniería, Lima, Peru. Chiara Carbajal Administration Program, Universidad de Ciencias y Humanidades, Lima, Peru. This The present article provides the results of a study on the noise as an industrial agent in a coffee company, during the roasting process, packaging and distribution of the final product. The study is oriented to identify the dangers and risks that are presented in the processes to determine the level to which the workers are exposed with the purpose of establishing preventive protection measures that allow to control the risks. Although the results of this study cannot be generalized, due to its qualitative nature, the proposed study can guide similar studies in other related processes in the coffee industry.. 12 30 2019 4454 4458 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7718.129219 https://www.ijitee.org/portfolio-item/B7718129219/ Faculty of Education, Universiti Kebangsaan Malaysia, Selangor, Malaysia. Rusreena Rusli Haida Umiera Hashim Faculty of Education, Universiti Kebangsaan Malaysia, Selangor, Malaysia. Harwati Hashim* Faculty of Education, Universiti Kebangsaan Malaysia, Selangor, Malaysia. Melor Md Yunus Faculty of Education, Universiti Kebangsaan Malaysia, Selangor, Malaysia. The education field is constantly venturing into many creative forms. Interactive learning is a hands-on approach to boost students' engagement and confidence. With new innovation, interactive learning enables students to reinforce critical thinking and problem-solving abilities in second language acquisition. Thus, the aim of this research is to design and create new interactive tool for second language teaching which can benefit both teachers and ESL students. This teaching and learning tool can be used for the 4 basic skills in ESL classrooms namely reading, listening, speaking and writing. A total of 30 students from a rural public secondary school were involved in this study. This interactive tool can help in building students’ motivation in learning especially among the low proficiency students and create autonomous learners who enjoyed and have fun while learning English. In conclusion, it is hoped that this research could add knowledge to the field of interactive tools and promotes creativity among second language teachers. 12 30 2019 1187 1190 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7722.129219 https://www.ijitee.org/portfolio-item/B7722129219/ Department of Economics, Faculty of Economics and Business, Universitas Airlangga, Surabaya, Indonesia. Rudi Purwono Lilik Sugiharti Department of Economics, Faculty of Economics and Business, Universitas Airlangga, Surabaya, Indonesia. Miguel Angel Esquivias Padilla* Department of Economics, Faculty of Economics and Business, Universitas Airlangga, Surabaya, Indonesia. Rossanto Dwi Handoyo Department of Economics, Faculty of Economics and Business, Universitas Airlangga, Surabaya, Indonesia. This study looks into Indonesia’s participation in fragmented structures within the Global Value Chain. By using a global input-output dataset and splitting gross exports into distinctive elements of value-added, the study measures vertical specialization of Indonesia against its four largest trading partners (NAFTA, East Asia, European Union and ASEAN) covering 29 countries for three periods: 1997, 2004 and 2012. Value-added is computed according to the initial source country and in the last destination. The paper also compares Indonesia to its ASEAN partners. The results show that Indonesia moved from exporting 50% of its value-added through finished products in 1997 to being a supplier of intermediates goods in 2012 (nearly 60% of its value-added). Foreign inputs in Indonesian exports account for 12%, a lower share versus ASEAN regional partners (35%) who are more vertically integrated. A total of 21% of Indonesian goods will be further exported to third countries. The degree of vertical integration in Indonesia in 2012 is 32.3%, up from 26% in 1997. Indonesia advanced in integration with East Asia and ASEAN countries (region), while it lowered its share of value-added traded with the North America and the Europe. Indonesia gained more than any other ASEAN partner in intra-regional trade 12 30 2019 4320 4330 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7723.129219 https://www.ijitee.org/portfolio-item/B7723129219/ School of Information Technology and Engineering, VIT University, Vellore, India K. Uma* C.Ramesh Kumar School of Computing Science and Engineering, Galgotias University, Uttar Pradesh, India. T.R. Saravanan Department of CSE, Jeppiaar SRR Engineering college, Chennai M.Basha Khaja Wipro Technology, Software engineer, Ireland, United Kingdom Landslide is one of the major natural hazards which is experienced all over the world and causes huge losses to land and property. Most of the landslides are generally caused by multiple factors which act together to destabilize the slope. But among them, the most common trigger for the landslides have been excessive rainfall and no proper planning have been leading to disastrous outcomes. So, in this research, mostly focus on the landslides which are induced due to rainfall to find a solution to the problem. It is present an overview on the challenges being faced in the prediction of Rainfall induced landslides. Also the objective is to find relevant approaches and techniques and judge the best possible method and algorithms which gives the most accurate results. 12 30 2019 4274 4278 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7725.129219 https://www.ijitee.org/portfolio-item/B7725129219/ Assistant Professor, Department of Geography, Jorhat Kendriya Mahavidyalaya, Jorhat, Assam, India. Dr. Jaya Kalita Gogoi* Assam is a flood prone region due to its numerous rivers and heavy rainfall. Assam represents highly flood-prone region characterized by severe hazards of floods. Although occurrence of flood has been an age-old phenomenon in the riverine areas of this region, the extent of damage caused by the flood has increased significantly in recent years. With more than 40 percent of its land surface susceptible to flood damage, the total flood-prone area in the Brahmaputra valley is about 3.2 Million hectare. Flood occurs when the capacity of the river channel to carry the discharge is exceeded. Notun Rangagora gaon of Tinsukia district of Assam is is largely control by the Dibru river and frequently affected by flood during the heavy showers in monsoon. An empirical study was done in flood prone village through simple random technique. Notun Rangagora gaon is assessed as one of the most flood and erosion affected village of the Tinsukia district where strategie are extremely essential to mitigate the gravity of suffering of the effected people and to upgrade the socio-cultural and economic conditions by the sustainable protection of the village. The increasingly growing flood and erosion problems have been affecting human habitation, economy as well as cultural landscape. The main livelihood in the village is agriculture and this sector is badly affected by the flood water every year. In order to sustain the rural livelihood, it is important to sustain resources in scientific way. Food security and environmental quality are the important aspects of Sustainable rural development and pre and post flood preparedness and management is essential to cope with the problem of flood. 12 30 2019 4946 4949 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7726.129219 https://www.ijitee.org/portfolio-item/B7726129219/ Professor, Dept of CSE, Shri Vishnu Engineering College for Women, Bhimavaram, Andhra Pradesh, India. Dr P.Kiran Sreee* Prof Y. Ramu Associate Professor, Dept of CSE, Shri Vishnu Engineering College for Women, Bhimavaram, Andhra Pradesh, India. Gold price prediction is pronounced as one of the dynamic problems addressed by many researchers. Several researchers have proposed various methods to predict the gold price; still there is a potential room to a new novel method with more accuracy and precise prediction. This paper proposes a supervised classifier with an Eight Neighborhood -Non Linear Cellular Automata to predict the exact gold price. The input for this proposed classifier is taken from the time series data of the last ten years in India. The classifier is trained and tested to give daily predictions to the users, which helps many investors to decide the time to buy or sell gold. This classifier is trained to process large amount of statistical data, process the business decisions listed in news articles. Based on all these parameters it predicts the gold variations in future. The accuracy of the classifier tested with standard datasets was reported as 86.7%, which is considerably better when compared with the existing literature. 12 30 2019 1711 1714 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7727.129219 https://www.ijitee.org/portfolio-item/B7727129219/ Universiti Kebangsaan Malaysia (MALAYSIA) Kashif Ishaq* Adnan Abid University of Management and Technology (PAKISTAN) Shoaib Farooq University of Management and Technology (PAKISTAN) Uzma Farooq University of Management and Technology (PAKISTAN) Mustansar Ijaz University of Management and Technology (PAKISTAN) Cloud computing is an internet-based service of delivering technology to users and an important technological facility where mutual resources are delivered on demand. Usage of cloud computing in educational Institutions provides students as well as administrative staff an opportunity to access various applications and knowledge swiftly. Its simplicity, upfront-cost, reduced downtime and less management effort make this service acceptable for all fragments of society particularly students and teachers. Despite the fact that the cloud computing technology is very useful, such as ease of access, cost effective. It has various issues like security violations, data confidentiality, data integrity, regional and geographical restrictions over the data. Safe cloud services are required to protect its users from different external threats such as disclosure or loss of data and compromising of users’ accounts. Users’ understanding about the cloud computing’s advantages, disadvantages and security issues can protect them from potential threats while ensuring its optimal usage in education. In this paper, a survey has been conducted to identify students understanding about the advantages, disadvantages and security issues regarding cloud computing in the educational sector. A sample of 212 respondents from graduate and undergraduate programs was taken to obtain required information. The findings reveal a lack of awareness about the use of cloud computing, its benefits, and security concerns and the implications of this deficiency are critical as multiple issues like outflow of personal data and its loss is faced by its users which may have adverse social, emotional and professional effects on student’s life. Considering the usefulness as well as the sensitivity of cloud computing in educational institutions, Authors propose maximum utilization of cloud computing in educational sector while ensuring the security of its users. 12 30 2019 3221 3225 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7730.129219 https://www.ijitee.org/portfolio-item/B7730129219/ Ramrao Adik Institute of Technology, Navi Mumbai, India. Anita B. Jadhav* Y. Srinivasa Rao Sardar Patel Institute of Technology, Mumbai, India, The wireless communication has become the essential of today’s Internet of Things (IoT) and mobile applications which is increasing exponentially in near future. These applications demand high data rate to speed up the communication among IoT or internet applications. The data rate requirement of individual application is different. To fulfill these demands of every application Long Term Evolution (LTE) integrated with femtocell technology is identified as suitable wireless technology. The running applications on a user equipment changes dynamically. Hence in dense deployment of femtocell and IoT devices, the bandwidth distribution to many active applications becomes more complicated. For multiple running applications per device with available bandwidth constraint, optimal bandwidth allocation to applications has become the most challenging issue. We include the bandwidth allocation to applications during handover of user equipment in LTE-femtocell network. The handover procedure needs efficient cell selection criteria for target cell selection. Hence in our research we focus on bandwidth distribution among applications by proposing “Efficient Bandwidth Distribution” (EBD) mechanism and efficient cell selection by “Dynamic Cell Selection” (DCS) mechanisms to mitigate above mentioned issues. 12 30 2019 4331 4313 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7733.129219 https://www.ijitee.org/portfolio-item/B7733129219/ Asst.Professor HKBK College of Engineering., Banglore, India. Prof.Nehal Ahmad* Mahboob Tabriz.B Professor and Head. Department of Mechanical Engineering in HKBK college of Engineering. Banglore, India. Prof.Fathima Parveen Associate Professor Dept. Mechanical Engineering, in HKBK college of Engineering, Benglorer, India. To perform welding process on the material under varying conditions with different flux materials, different welding parameters and further subjecting the material to various suitable tests such as tensile test, hardness test, optical tests and study the characteristics of the material under testing. The tests conducted on the welded work piece it is proposed the suitable parameters under which welding of greater precision can be performed. it is also analyzed the working conditions under which the selected work piece material of stainless steel grade 304 would deviate from its desired characteristics. From the results of the tests it is able to determine the conditions that would reduce the characteristics of the welded work piece. Thus it can be further used for reference when the welding process is done on the same material of stainless steel of grade 304. The electrodes that were chosen for this project were selected by the criteria of widely used and chief material in the welding of various grades of stainless steel. The composition of the chemicals that constitute the electrodes were tribiologically analyzed and studied. The need for high precision welding in large scale as well as small scale industries is relatively high as the threshold for errors in such areas are greatly undesirable. The results of this study would greatly contribute to the reduction of errors and defects in the welding operation. 12 30 2019 4344 4349 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7736.129219 https://www.ijitee.org/portfolio-item/B7736129219/ Computer Science and Engineering Department, Institute of Technology, Nirma University, India Lata Gohil* Dharmendra Patel Smt. Chandaben Mohanbhai Patel Institute of Computer Applications (CMPICA), CHARUSAT, Changa, India Social media has been proved as wild card for its role in election campaign across the globe. It has been used for general election of India in year 2014 and year 2019 by political parties for election campaign. Thus social media provides opportunity for electoral prediction. Users from India use regional languages in addition to English language on social media. Multilingual data likely to give better prediction compared to single language data. Affect analysis gives deeper insight compared to sentiment analysis. This research study aims to predict voting behavior for 2019 general election of India using affect analysis of multilingual tweets. Three languages namely English, Hindi and Gujarati are used for this study. Volume-based method and machine learning algorithm based method are two approaches widely used in literature for electoral prediction. In this research study hybrid approach is used along with consideration of ratio of positive count and negative count of tweets. Experiment result shows efficacy of the proposed approach. 12 30 2019 1768 1771 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7742.129219 https://www.ijitee.org/portfolio-item/B7742129219/ Department of Mathematics, C.V. Raman College of Engineering, Bhubaneswar, India. P. K. Parida* The TOPSIS method, commonly known as the technique for order performance by similarity to ideal solutions, is one of the most popular approaches used in the multi-attribute decision making (MADM). In this method has some advantages are simplicity, rationality, comprehensibility, good computational efficiency and ability to measure the relative performance for each alternative in a simple mathematical form. In the last four decades world is getting warmer. It is whether the cause of human activity or natural variability. The thermometer reading all round the world have risen steadily since the beginning of the industrial revolution. According to the ongoing temperature analysis conducted by scientist at NASA’s Goddard Institute for Space Studies (GISS), the average global temperature on the Earth has increased about 0.80 Celsius since 1880. So, applying this method to determines the best solution from a set of alternatives with certain attributes. The best alternative is chosen based on its Euclidean distance from the ideal solution. The aim of this paper to systematizes the knowledge within the scope of techniques of decision taking with the use of the TOPSIS method. Simple numerical examples that reference real situations show practical applications of different aspects of this method. 12 30 2019 3205 3214 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7745.129219 https://www.ijitee.org/portfolio-item/B7745129219/ Assistant Professor, Department Of Accountancy Nef College, Guwahati, Assam, India. Alimpiya Bordoloi* Unorganised Work Force Constitutes A Large Portion In India. This Sector Work Force Includes Casual Labourers, Day To Day Vendors, Domestic Vendors, Maids Etc. They Form A Significant Part In Developing An Economy And Women Being A Strong Pillar In Nation Building Demands For Financial Literacy On Their Part Too. In Simplest Language Financial Literacy Is The Financial Is The Financial Knowledge Of Various Financial Instruments And Savings, The Ability To Take Sound Financial/ Investment Decision With The Available Financial Resource. Through This Paper An Attempt Has Been Done To Examine The Scenario Of Financial Literacy Of The Working Women In The Unorganised Sector And To Know If Demographic Profile And Socio Economic Variable Has Any Effect On Financial Literacy. 100 Respondents From Guwahati City Have Been Selected And With The Help Of Schedule Data Has Been Collected. 12 30 2019 4350 4354 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7746.129219 https://www.ijitee.org/portfolio-item/B7746129219/ Department of Computer Science and Engineering, Rajiv Gandhi University, Rono Hills, Doimukh, Arunachal Pradesh, India. Utpal Bhattacharjee* Jyoti Mannala Department of Computer Science and Engineering, Rajiv Gandhi University, Rono Hills, Doimukh, Arunachal Pradesh, India. Recently Automatic Speech Recognition (ASR) has been successfully integrated in many commercial applications. These applications are performing significantly well in relatively controlled acoustical environments. However, the performance of an Automatic Speech Recognition system developed for non-tonal languages degrades considerably when tested for tonal languages. One of the main reason for this performance degradation is the non-consideration of tone related information in the feature set of the ASR systems developed for non-tonal languages. In this paper we have investigated the performance of commonly used feature for tonal speech recognition. A model has been proposed for extracting features for tonal speech recognition. A statistical analysis has been done to evaluate the performance of proposed feature set with reference to the Apatani language of Arunachal Pradesh of North-East India, which is a tonal language of Tibeto-Burman group of languages. 12 30 2019 4355 4360 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7748.129219 https://www.ijitee.org/portfolio-item/B7748129219/ Associate Professor, Department of Electrical and Electronics, R.M.K Engineering College. Ms. Chandla Ellis* Mr. Giritharan Research Assistant, Department of Electrical and Electronics, R.M.K Engineering College. In present day situation, the analysis of drive circuits for DC motors are advancing and recent innovative technologies make the system more cheaper and market friendly. The adjustable speed drive system is utilized for speed control purpose of DC motor. In this paper, open loop analysis and output response is studied for a Single phase full bridge rectifier connected to a DC motor feeding from a DC/DC Buck converter. The voltage regulator between two networks make the load voltage adjustable. The Matlab simulation software is used to analyze the system performance and its characteristics under various factors. The performance parameters such as ripple factor, motor and rectifier efficiency, voltage and current THD, and form factors of the system for various firing angles are compared and analyzed. Moreover it is observed that the system output voltage remains constant eventhough there is load and field disturbance in motor. Besides, if the firing angle increases form factor, ripple factor increases whereas the motor efficiency and rectifier efficiency decreases. The main aim of the paper is to prove that the developed model must transmit power with high efficiency and low ripple compared to existing models. The results presented in this paper match with the experimental results. 12 30 2019 2993 2996 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7750.129219 https://www.ijitee.org/portfolio-item/B7750129219/ Department of Physics, Maharshi Markandeshwar (Deemed to be University), Mullana, Ambala, India. Deepak Kumar Tyagi* Rajeev Sehrawat Department of Physics, Maharshi Markandeshwar (Deemed to be University), Mullana, Ambala, India. Rashmi Mittal Department of Physics, Maharshi Markandeshwar (Deemed to be University), Mullana, Ambala, India. Milan kumar Bera Department of Physics, Maharshi Markandeshwar (Deemed to be University), Mullana, Ambala, India. Anil Kr. Sharma Department of Physics, Maharshi Markandeshwar (Deemed to be University), Mullana, Ambala, India. Magnetotelluric (MT) data were recorded over highly undulating terrain in Himalayan region from Roorkee to Gangotri section in period 0.001-1000 second. In the presence of topographic distortion the interpretation may become misleading. A simple scheme based on finite difference method for the simulation of the topographic distortion in magnetotelluric response is presented. The finite difference based, forward response computation algorithm, has been extended for undulating topography. The distortion coefficients, representing the topographic effect, are designed for correcting the observed distorted impedance tensor recorded in the vicinity of topographic features. The accuracy of the scheme is checked by comparing the computed responses with the finite element, Rayleigh scattering and transmission surface results for transverse electric (TE-mode) and transverse magnetic (TM-mode) responses. The modified algorithm is used to model the terrain effect on MT data recorded from Himalayan terrain. 12 30 2019 5059 5062 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7756.129219 https://www.ijitee.org/portfolio-item/B7756129219/ School of Electrical Engineering, KIIT Deemed to be University, Bhubaneswar, India. Subhashree Priyadarshini* Chinmoy Kumar Panigrahi School of Electrical Engineering, KIIT Deemed to be University, Bhubaneswar, India. The Synchrophasor Unit or commonly called Phasor Measurement Unit (PMU) is the essential component in the modern power grid which plays a significant role in monitoring, control and protection of the power system. PMU offers synchronized measurements of voltage, current and frequency on a real-time basis. Therefore, it is necessary to install Phasor Measurement Devices in the power grid, which can provide a complete state of each bus system. In this paper, Non-recursive based Discrete Fourier Transform (DFT) approach is implemented for the modelling of PMU due to its stable nature. The entire work is done using the NI LabVIEW software, and the results obtained from the model are validated with mathematical analysis. 12 30 2019 2923 2926 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7759.129219 https://www.ijitee.org/portfolio-item/B7759129219/ Assistant Professor, Sandip Institute of Technology and Research Centre, Nashik,India. Sneha Arjun Khaire* To develop an efficient system for matching the biological protein sequences and generating the scoring matrix using a distributed scan approach by applying Smith-Waterman(SW) algorithm. The algorithm generates fatest solution and the proposed system is comparing sequences with System, OpenMP and Hadoop. The comparison of the system leads in generating an efficient matrix of the protein sequence, beneficial for predicting the efficiency of the system. 12 30 2019 2146 2147 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7760.129219 https://www.ijitee.org/portfolio-item/B7760129219/ Associate Professor, Department of Civil Engineering, Annamalai University, Chidambaram, India. R Balamurugan* K Srinivasan Associate Professor, Department of Civil Engineering, Annamalai University, Chidambaram, India. S Balakumar Associate Professor, Department of Civil Engineering, Annamalai University, Chidambaram, India R Rajendran Assistant Professor, Department of Management Science, Muthurangam Arts College, Vellore, India. R Sivakumar Assistant Professor, Department of Management Science, Govt. Arts College, Kulithalai, India. This research aims to evaluate the challenges and implementation of environmental management system. Especially the environment management system creating a new culture sustainability to awareness of society. Also the most important of the process, training and communication of the researcher. The respondents selected sample size 200 for stratified random sampling method. The researcher statistical tools used for t-test and F-test. Further the result reveals that respondent’s differ in their level of challenges and implementation of EMS based on organization operating. Hence, the below 5 years of organization operating have high level. Therefore it is concluded that different level of commitment to each of the contributing factors to success the performance, wherever it is noted that the respondents are satisfied awareness of the environmental management system. 12 30 2019 4833 4835 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7761.129219 https://www.ijitee.org/portfolio-item/B7761129219/ Research Scholar, Department of Electronics and Communication Engineering, Bharath Institute of Higher Education and Research, Chennai, India. Sanaullah Ahmad Rizvi* M Sundararajan Professor, Department of Electronics and Communication Engineering, Bharath Institute of Higher Education and Research, Chennai, India. Speech recognition using sustenance vector machine assisted by Dynamic time warping (DTW) method is proposed. The input training datas are collected from 40 speakers for five unique words. Every one of the information was gathered in a profoundly acoustic and commotion confirmation condition. Mel recurrence cepstrum coefficients (MFCC's) are represented as constant property of the signal. First and second derivatives of MFCC are used for dynamic properties. Subsequent to deciding element vectors, an adjusted DTW technique is proposed for highlight coordinating. Support Vector Machine (SVM) as well as Radial basis function (RBF) are used to categorize. The model is tried for multiple speakers and a good detection rate is obtained. 12 30 2019 3879 3882 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7762.129219 https://www.ijitee.org/portfolio-item/B7762129219/ Research Scholar, Saveetha School of Engineering, SIMATS, Chennai, India. R Prabhakaran* J Mohana Associate Professor, Saveetha School of Engineering, SIMATS, Chennai, India. The primary objective of this article is to build a Computer Aided Diagnostic (CAD) technique for the segmentation of Oral cavity cancer. The frequency of oral cancer occurrence has been observed globally in recent decades. The death ratio from oral cancers is excessive and keeps on rising. This article has concentrated on oral Computed Tomography (CT) image pre-processing and segmentation techniques to enhance resolution of the image and readability to enhance classification outcome. The proposed model targeted on image pre-processing and segmentation steps to improve the resolution of the image, then enhance the precision of swelling recognition and classification. The American Cancer Society calculates that there will be almost 60,000 new patients and roughly 9,000 deaths from oral or throat cancer in 2017. The preliminary prediction of oral cancer is to check out the ocular areas cautiously and record the holes present in the teeth of the damaged person as true-color digital images. The choice about the extra cure of the oral cancer damaged person is principally based on the growth of the lesion. Oral cancers are a type of cancer, the place few irregular wounds or patches will present in the holes present in the teeth. As it is challenging to recognize it in the beginning states, it has one of the bad survival ratios. The suggested method receives the Computerized Tomography (CT) scanned images of the cancer damaged vicinity and can detect the presence of malignancy. The managing of oral cancer is a multidisciplinary attempt, as every damaged person provides the treating clinicians with a sole collection of difficulties, the managing of which affects on each living and high- condition of life. 12 30 2019 3883 3887 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7763.129219 https://www.ijitee.org/portfolio-item/B7763129219/ Research Scholar, Department of Electronics and Communication Engineering, Bharath Institute of Higher Education and Research, Chennai, India. Bramara Neelima K* S Arulselvi Research Supervisor, Associate Professor, Department of Electronics and Communication Engineering, Bharath Institute of Higher Education and Research, Chennai, India. Handwriting of each person is unique since each person has their own unique and different style of handwriting. Handwriting verification can be performed in two ways, dynamic and static. The dynamic verification process is the writer dependent whereas the static verification process is the writer independent procedure. The features can be spatial, structural, statistical, geometrical, graphological, and from other feature extraction techniques. In this work, we are considering the combination of multilevel feature set for writer recognition and identification purpose. A dataset of different handwriting samples collected from 100 different writers is used for this experiment. A decision tree classifier with random forest implementation is used for recognition and identification of writer with 98.2% accuracy. 12 30 2019 3888 3891 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7765.129219 https://www.ijitee.org/portfolio-item/B7765129219/ Research Scholar, Department of Electronics and Communication Engineering, Bharath Institute of Higher Education and Research, Chennai, India. Bramara Neelima K * S Arulselvi Research Supervisor, Associate Professor, Department of Electronics and Communication Engineering, Bharath Institute of Higher Education and Research, Chennai, India. Automatic signature extraction and recognition from document images is an open research problem. Signature verification is of two types; static and dynamic, and has two approaches; writer dependent and writer independent. Signature verification system in case of bank cheque image should essentially be an error prone system to elude the fraudulent transactions. In this work, a three layer signature verification system is proposed, which is writer independent and offline signature verification system. Graphometrical and FAST features are extracted from the signature images and are given as inputs to the classification algorithms. The proposed signature verification model is a combination of three classification algorithms; artificial neural network, Gaussian mixture model and image matching models, to circumvent the fraudulent transactions. The overall performance accuracy of proposed process is 99%. 12 30 2019 2211 2214 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7766.129219 https://www.ijitee.org/portfolio-item/B7766129219/ Research Scholar, Department of Computer Applications, BIHER - Bharath Institute of Higher Education and Research, Chennai, India. Kadam Sarika Shamrao* A Muthukumaravel Dean, Arts & Science, BIHER - Bharath Institute of Higher Education and Research, Chennai, India. Speech Recognition of native language is the process of recognizing the language of a client dependent on the speech or content writing in another language. This article proposes the utilization of spectrogram as well as on cochleagram-oriented concepts separated from extremely short speech expressions (0.8 s by and large) to deduce the local language of the speaking person. The bidirectional long short-term memory (BLSTM) neural systems are received to classify the expressions between the local dialects. A lot of analyses is completed for the system engineering look and the framework's precision is assessed on the approval informational index. By and large precision is accomplished utilizing the Mel-recurrence Cepstral coefficients (MRCC) and Gammatone Recurrence Cepstral Coefficients (GRCC), separately. In addition, the advanced MFCC oriented BLSTM system and GFCC based BLSTM systems are combined to make use of their features. The examinations demonstrate that the execution of the combined system outperforms the individual BLSTM systems and precision of 75.69% is accomplished on the assessment information. 12 30 2019 2373 2377 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7767.129219 https://www.ijitee.org/portfolio-item/B7767129219/ Research Scholar, Bharath Institute of Higher Education and Research, Chennai, India. Gayathri Denis* T Krishna Kumar Assistant Professor, Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai, India. Karthikeyan Professor and Principal, Department of Computer Science and Engineering, Tamilnadu College of Engineering, Coimbatore, India. S Sasipriya Professor, Department of Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India. Recruitment Analytics is highly important of an organization since which plays vital role. There are new recruitment processes analyzed but still found hard to find the perfectly fitted employee in an organization in order to improve the Hiring Process To do sourcing best for the sort of skills worker this paper represents the Predictive analytics and which takes this to a in addition level by using supporting you get more insights based totally on each useful resource you use to find applicants. Data may be mined from social media sites, popular task aggregators and many others. This paper illustrates data driven strategy. so that the personality can be predicted and the most suitable employee can be recruited. 12 30 2019 2329 2332 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7768.129219 https://www.ijitee.org/portfolio-item/B7768129219/ Research Scholar, Department of Computer Applications, BIHER - Bharath Institute of Higher Education and Research, Chennai, India. Kadam Sarika Shamrao* A Muthukumaravel Dean, Arts & Science, BIHER - Bharath Institute of Higher Education and Research, Chennai, India. Now every day's speech recognition is utilized broadly in numerous packages. In software program engineering and electric constructing, speech recognition (SR) is the interpretation of verbally expressed words into textual content. it's miles otherwise referred to as "computerized speech recognition" (CSR), "pc speech reputation", or most effective "speech to text" (STT). A hid Markov model (HMM) is a measurable Markov model wherein the framework being verified is notion to be a Markov process with in mystery (shrouded) states. A HMM may be introduced as the least hard dynamic Bayesian system. Dynamic time warping (DTW) is a truly understood strategy to locate a really perfect arrangement among two given (time-subordinate) groupings underneath sure confinements instinctively; the groupings are distorted in a nonlinear manner to coordinate each other. ANN is non-immediately statistics driven self-versatile methodology. it can distinguish and research co-related examples between information dataset and evaluating target esteems. Within the wake of preparing ANN may be utilized to anticipate the end result of new unfastened facts. 12 30 2019 3892 3895 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7769.129219 https://www.ijitee.org/portfolio-item/B7769129219/ Research Scholar, Bharath Institute of Higher Education and Research, Chennai, India. Gayathri Denis* T Krishna Kumar Assistant Professor, Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai, India. Karthikeyan Professor and Principal, Department of Computer Science and Engineering, Tamilnadu College of Engineering, Coimbatore, India. S Sasipriya Professor, Department of Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India. DM techniques DM techniques give helpful info from the historical comes counting on that the hiring-manager will build selections for recruiting high-quality force, by applying K-means and mathematical logic algorithms. huge information analytics in hiring and the way it will assist you recruit prime talent, "Big information is that the way forward for recruiting, however you cannot simply information mine your thanks to the privilege candidate, “Big info to alter your accomplishment system. What’s certain is that big info is that the fate of occupation choosing and advancement, Associate in Nursing seeing a way to know it are going to be basic to an organization's prosperity. Nowadays, vast info helps quickly developing organizations find their ideal specialists, designers and officers. an enormous information platform utilizing prophetic analytics and machine learning for quick, accurate, and straightforward candidate rummage around for recruiters. During this paper a data-mining framework supported Associate in nursing ensemble-learning technique to refocus on the factors for personnel. On-line job boards are employed by scores of job seekers, UN agency flick through the postings for jobs that match their interest. Queries are crafted victimization word generated by the users, which cannot match the language employed in the work postings. 12 30 2019 3242 3246 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7770.129219 https://www.ijitee.org/portfolio-item/B7770129219/ Department of Business Administration, Universitas Padjadjaran, Bandung, Indonesia. Rusdin Tahir* Agus Nizar Vidiansyah Ph.D Student of Business Administration, Universitas Padjadjaran, Bandung, Indonesia. Liga Suryadana The Postgraduate School of Tourism at NHI, Bandung, Indonesia. Cecep Ucu Rakhman The Postgraduate School of Tourism at NHI, Bandung, Indonesia. One of the key elements in the operational performance of State-Owned Enterprises (SOEs) is the improvement of quality planning, human resources (HRs), and financial management that can serve as a monitoring tool as well as a performance driver. Herein, the research examined the extent to which employee engagement, comprised of cognitive engagement, emotional engagement, and behavioral engagement could drive employee performance in Indonesian SOEs. The research was conducted with a survey method to 429 middle managers in 141 SOEs in Indonesia. Data were collected through an indirect communication technique using a questionnaire and direct communication techniques using limited interviews and documentary studies. Data were analyzed descriptively through weighted averages and inferentially through Structural Equation Modelling (SEM). The results of the study show that: Employee engagement in Indonesian SOEs was in the “good” category, but not optimal. The performance of the SOEs managers was measured based on the total performance scorecard (TPS). Employee engagement (cognitive, emotional, and behavioral) partially and simultaneously contributed positively and significantly to the improvement of the performance of Indonesian SOEs based on the total performance scorecard 12 30 2019 5148 5153 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7771.129219 https://www.ijitee.org/portfolio-item/B7771129219/ Department of Computer Science Gulbarga University, Kalaburagi, 585106, Karnataka, India Suryakanth Baburao Ummapure* G G Rajput Department of Computer Science Akkamahadevi Women’s University, Vijayapura 586106, Karnataka, India, SIFT and LBP are two popular techniques used for obtaining “feature description" of the object. SIFT identifies key points that are locations with distinct image information and robust to scaling and rotation whereas, LBP transforms an image into an array of integer labels describing small scale appearance of the image. In this paper, we present an efficient method wherein “feature description” of handwritten document images at word level are computed using SIFT and LBP. Identification of script type is done using KNN and SVM classifiers. Experimental results show that the performance of SVM is better over KNN. Further, the proposed method is compared with other methods in the literature to demonstrate the efficacy of the proposed method. 12 30 2019 3896 3901 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7772.129219 https://www.ijitee.org/portfolio-item/B7772129219/ GMR Institute of Technology, Rajam, Srikakulam, A.P, India Dr. Guntu Nooka Raju* Muddapu V Tirupathamma RGUKT, IIIT, Srikakulam, A.P, India, Dr K Srinivasa Rao GVP College of Engineering for Woman, Visakhapatnam, India Non-Orthogonal Multiple Access which is an emerging technique which performs good in any aspects. Multiple users can share the resources that are available and also user can be identified, which adopts successive interference cancelation (SIC). The power domain is considered for detection of power allocation for the base stations. The performance of errors in selective channels like frequency channels is demonstrated with the help of code division multiple access which is a multi carrier (MC-CDMA), in which the frequency diversity can be resolved quickly. Due to high range of multiple access interferences the performance of MC-CDMA is been restricted. To overcome the problems in MC-CDMA, a new technique is proposed i.e frequency division multi carrier code division multiple access by which the multiple access interferences can be reduced by exploiting the available range of frequencies. NOMA is one of the emerging technique used as an answer to boost the spectral potency whereas permitting some extent of accessibility for multiple interferences at receiver end. By using NOMA-FD-MC-CDMA the range of spectrum can be increased and reduced the interferences. Bit error rate(BER) is evaluated and compared with other existing technique. The experimental results are performed using Mat lab tool. 12 30 2019 3247 3251 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7774.129219 https://www.ijitee.org/portfolio-item/B7774129219/ Department of IT, Vardhaman College of Engineering, Hyderabad, India. E.R. Aruna* A. Rama Mohana Reddy Department of CSE, SVU Colege of Engineering, S.V University, India K.V.N. Sunitha Department of CSE, BVRIT College of Engineering, Hyderabad, India Internet of Things (IoT) changes the trend “Connect the unconnected” likes human or environmental and technical interactions, interactions among the machines through Radio Networks, Sensor Networks and many more simple devices like fitbits, thermostats etc. Besides this, they are highly prone to vulnerable due to its open and heterogeneous nature. To secure IoT Applications, we proposed a methodology called “Process to enhance software security” (PESS) method. The main Moto of PESS is to design Security aware Software Development Life Cycle (Sa-SDLC). In PESS methodology we are applying and assessing the secure assurance activities and security patterns. In our work, we have applied secure assurance activities and secure adapter pattern for securing user information of IoT based Health Monitor Application. Our PESS methodology accomplished the security implementation faults identification and remediation at early phases of IoT application development life cycle. 12 30 2019 4361 4365 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7805.129219 https://www.ijitee.org/portfolio-item/B7805129219/ Department of Science & Humanities, RNGPIT, Isroli-Afwa, Surat, India. Rekh Riddhi Ketankumar* Dr. Jayesh M. Dhodiya ASHD, SVNIT, Surat, India. Execution of any project with optimum duration, cost, quality and risk is very significant for project administrators in recent very competitive commercial situation. Sometimes it is not possible to have detailed earlier statistics about project criteria. In such situations, estimation of different Decision makers are considered in linguistic variables and altered into triangular fuzzy numbers as fuzzy numbers have ability to deal with vagueness. In this paper, we frame a new multi-mode multi objective critical path problem and suggest a possibilistic methodology to find critical path for a project where three decision makers’ views are considered as three modes of execution in terms of linguistic variables. We have formulated model of multiple mode in project network problem and find its solution with fuzzy programming approach with exponential membership and linear membership function. The proposed approach is useful to solve multi-mode project management problem which calculates optimal critical path according to four criteria- time, cost, risk and quality with three activities modes of execution in fuzzy environment. 12 30 2019 1772 1781 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7806.129219 https://www.ijitee.org/portfolio-item/B7806129219/ Assistant Professor, Department of Computer Science and Engineering, Easwari Engineering College, Chennai, India. D.Amirtha Sughi* R.M. Bhavadharini Associate Professor, Department of Computer Science and Engineering, Easwari Engineering College, Chennai, India. Dr.K.M. Anandkumar Professor, Department of Computer Science and Engineering, Easwari Engineering College, Chennai, India. Dr.R. Arunprakash Assistant Professor, Dept of Computer Science and Engineering, University College of Engineering, Ariyalur, Tamil Nadu, India. There exists agrowing concern about energy utilization nowadays, which is prominent to aset-upthat supports Real-Time (RT) control and monitoring with a 2-way message between the services and clients. The Cloud-based Smart Grid Architecture (C-SGA) is the technological innovation that came up to meet these requirements and developproductivity, trustworthiness, finances, and sustainability of energy services. To manage communications to millions of endpoints and to process the data received from several front-end smart,intelligent components, Cloud Computing (CC) serves as a better technology for providing the necessary computational resources on demand for large scale Smart Grid (SG) applications. The factorslow-cost assistance, the flexible, redundant, and fast, responsive architecture of CC are the primary goals of energy conservation and demand response achieved in SGs for efficient, secure, and scalable electricity services. 12 30 2019 4836 3840 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7808.129219 https://www.ijitee.org/portfolio-item/B7808129219/ Department of EEE, JNTUA university, Anantapuramu, India. K. Chandra Babu* Dr. K.Ramasekhara Reddy Department of EEE, JNTUA, Anantapuramu, India. In recent years, due to the interconnection of large capacity wind turbines to the power grid lead, there are serious issues in the stability of Grid and generation of electrical power. Also, it is showing effect on the dynamic performance of the electrical power systems. To maintain stability during sudden changes in the grid, the LVRT (Low Voltage Ride Through) capability of the Wind Turbines is one of the prime requirements. Wind turbines attached to DFIG (Doubly Fed Induction Generators) are advantageous which have LVRT capability at limited extent. In this paper, the elaborated discussion of the LVRT of Wind turbines shafted to DFIG's in the Grid. It also presents the complete description of the sudden changes in the systems like transient characteristics and the Doubly Fed Induction Generators dynamic response at the time of grid voltage faults (Symmetrical and Asymmetrical). The latest rotor side control technology is displayed in this paper for DFIG and wind turbines with improved capacity of low voltage ride through at the time of severe grid voltage sags. A Fuzzy Logic controller-based control technology is introduced in this paper which performs the balancing the rotor-side voltage and short circuits during the disturbances in the Grid. The advantage in this proposed control scheme is that it reduces the additional cost and reliability issues. So, the DFIG is efficient and usability company norms are satisfied with the proposed Fuzzy logic controller compared to regular controller like PI controller. The performance of the proposed system is simulated and verified in the computer. The results are displayed and it conclude that the control strategy of LVRT capability for Grid connected DFIG based wind turbine systems with Fuzzy Logic Controller are more effective than the conventional control Methods. 12 30 2019 3164 3172 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7809.129219 https://www.ijitee.org/portfolio-item/B7809129219/ Associate Professor, Department of Electrical and Electronics Engineering. Pragati Engineering College, Andhra Pradesh, India. Dr.R. Sathishkumar* Dr.R. Velmurugan Professor, Department of EEE, Malla Reddy Engineering College For Women, Secunderabad, Hyderabad, India. Dr.Balakrishnan Pappan Associate Professor, Faculty of Electrical and Electronics Engineering, Malla Reddy Engineering College for Women, Secundrabad, Telangana State. Hyderabad, India. Dr.J. Booma Assistant Professor, Department of Electronics and Communication Engineering, PSNA College of Engineering and Technology, Dindigul, India. For the enormously increased power demand in the modern world, the existing fossil fuel sources seem to be inadequate to meet the demands. Hence, it is necessary to switch over to use Renewable Energy Sources (RES). Besides the demand concerns, the power generation from fossil fuels causes environmental pollution prominently. As a result, the utilization of RES has been encouraged. When RES is interconnected with the grid, this system becomes an excellent solution to fulfill the power demand of the present scenario. The energy generated from renewable energy sources varies according to seasonal variations. The power generated from RES can be delivered to the load by interconnecting it with the grid. When a small size RES system is connected with the distribution network, it can deliver energy to the isolated zones where the energy cannot be drawn from the conventional network. In this work, the Artificial Neural Network based Maximum Power Point Tracking scheme has been introduced with Photovoltaic (PV) power generation. Also, a bi-directional charger is introduced to overcome the battery issues. The model is evaluated in the MATLAB/SIMULINK package. The performance of the system is analyzed by applying different voltage levels to qZSI. The voltage gain, effectiveness of the scheme, MPPT and the regulation of the voltages are observed. 12 30 2019 1191 1199 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7813.129219 https://www.ijitee.org/portfolio-item/B7813129219/ Research Scholar, Reg No. 12609, Research Department of Mathematics, Nesamony Memorial Christian College, Marthandam, Kanyakumari District-629165, Tamil Nadu, India. V. G. SMILIN SHALI* Dr.S. ASHA Assistant Professor, Research Department of Mathematics, Nesamony Memorial Christian College, Marthandam, Kanyakumari District-629165, Tamil Nadu, India. Affiliated to Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli-627012, Tamil Nadu, India. Let G be a finite, connected, undirected graph without loops or multiple edges. If G1, G2 , . . . ,Gn are connected edge – disjoint subgraphs of G with E(G) = E(G1)  E(G2)  . . .  E(Gn), then { G1, G2 , . . . , Gn} is said to be a decomposition of G. The concept of Arithmetic Odd Decomposition [AOD] was introduced by E. Ebin Raja Merly and N. Gnanadhas . A decomposition {G1, G2, . . . , Gn } G is said to be Arithmetic Decomposition if each Gi is connected and | E(Gi)| = a+ (i – 1) d , for 1  i  n and a, d  ℤ . When a =1 and d = 2, we call the Arithmetic Decomposition as Arithmetic Odd Decomposition . A decomposition { G1, G3, . . . , G2n-1} of G is said to be AOD if | E (Gi ) | = i ,  i = 1, 3, . . . , 2n-1. In this paper, we introduce a new concept called Double Arithmetic Odd Decomposition [DAOD]. A graph G is said to have Double Arithmetic Odd Decomposition [DAOD] if G can be decomposed into 2k subgraphs { 2G1, 2G3 , . . . , 2G2k-1 } such that each Gi is connected and | E (Gi ) | = i ,  i = 1, 3, . . . , 2k-1. Also we investigate DAOD of some complete 4-partite graphs such as K2,2,2,m , K2,4,4,m and K1,2,4,m . 12 30 2019 3902 3907 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7814.129219 https://www.ijitee.org/portfolio-item/B7814129219/ KIIT School of Computer Applications, KIIT University, Bhubaneswar, Odisha, India. Sadhna Sudershana* Dr. Ipseeta Satpathy Professor, KIIT School of Computer Applications, KIIT University, Bhubaneswar, Odisha, India. Dr. B.C.M Patnaik Associate Professor, KIIT School of Computer Applications, KIIT University, Bhubaneswar, Odisha, India. The present analysis has been conducted to understand the influence of job satisfaction, gender and age on the employee engagement levels in the Information and Technology sector. 196 bona fide questionnaire responses were received from two Information Technology (IT) firms in Odisha, India to perceive the impact of factors like job satisfaction, age and gender on the work commitment levels of employees. Correlation analysis was done to unravel the interrelationship linking gender, age and job satisfaction. The findings indicated that there was no effect of gender or age on the engagement of employees in the IT sector. Gender and age were independent of each other but influenced the Job satisfaction of the employees in the IT area. The goodness of fit was calculated for the dataset by doing the chi square test. Based on the values, for the first and the second hypothesis the null hypothesis was rejected and the alternative was selected. For the third hypothesis the null hypothesis was accepted. This showed that age and gender do not have a major impact on engagement in IT employees. But job satisfaction has a positive association with employee engagement. Regression analysis was also carried out to check the relationship between age and gender which are the independent variables with job satisfaction which is dependent. It was concluded that there is a 50% association between the independent and dependent variables. Thus organizations should make sure that the work culture is a healthy mix of the right elements so that a diverse taskforce is always driven to work and shares mutual goals with the organization. 12 30 2019 4841 4845 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7816.129219 https://www.ijitee.org/portfolio-item/B7816129219/ Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Selangor, Malaysia. Noorfazila Kamal* Nadhira Mohamad Fauzi Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Selangor, Malaysia. Complementary metal-oxide semiconductor (CMOS) consist of n-type metal-oxide semiconductor field effect transistor (NMOS) and p-type MOSFET (PMOS). In common practice, only three terminals of these transistors are used, namely gate, source and drain. Meanwhile, the fourth terminal, which is body terminal is tied to source. Changing body terminal bias causes the transistor to have a body effect. In this work, optimum body biasing for 0.13 μm NMOS and PMOS are identified. Effect of body biasing to the MOSFETs are investigated. In addition, how body biases affect CMOS circuits are also observed. Three type of body biasing are considered, namely Forward Body Biasing (FBB), Reverse Body Biasing (RBB), and Dynamic Threshold MOS (DTMOS). Drain current, Id versus gate voltage, VG and drain current, Id versus drain-source voltage, VDS for FBB, RBB and DTMOS are simulated to determine the optimum operating point for each biasing technique. To observe the effect of body biasing techniques on the circuits, inverter and common source amplifier are constructed using FBB, RBB and DTMOS. In addition, the circuits also constructed in zero body biasing (ZBB) for comparison. The results show that, optimum body biasing is at 0.6 V for all three body biasing techniques. FBB and DTMOS cause the threshold voltage, Vth to decrease but increase the leakage current. On the other hand, RBB causes increase in threshold voltage, Vth yet reduces the leakage current of the CMOS. The results obtained in this work will enable other circuit designers to determine the optimum FBB, RBB and DTMOS operating point. 12 30 2019 3185 3189 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7817.129219 https://www.ijitee.org/portfolio-item/B7817129219/ Candidate of Agricultural Sciences, Associate Professor, Department of Animal Feeding and General Biology, Stavropol State Agrarian University. Tatyana Antonenko* Alexander Andrushko Candidate of Agricultural Sciences, Associate Professor, Department of Animal Feeding and General Biology, Stavropol State Agrarian University. Yana Serdyukova Candidate of Biological Sciences, Associate Professor of The Department of Food Technologies, Don State Agrarian University. Anzhela Zakurdayeva Candidate of Biological Sciences, Associate Professor of The Department of Food Technologies, Don State Agrarian University. Aleksey Venetsianskiy Candidate of Agricultural Sciences, Associate Professor of The Department Technology of Storage and Processing of Agricultural Raw Materials and Catering, Volgograd State Agrarian University. This article presents the results of the development of new types of products based on the use of biotechnological principles of deep processing of raw materials. The composition of multicomponent starter culture, which forms the probiotic properties of drinks, has been developed. The activity of the development of the starting microflora and the composition of the milk base of drinks were research with the aim of increasing the biological value, improving the organoleptic properties and structure of finished products. The proposed types and dosages of fillers of plant origin, the optimal dosage of their implementation from the point of view of the formation of high organoleptic indicators. 12 30 2019 3130 3132 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7823.129219 https://www.ijitee.org/portfolio-item/B7823129219/ Research Scholar, Department of Computer Science, Sacred Heart College, Tirupattur, India. Shinoj Robert* M. Maria Dominic Assistant Professor, Department of Computer Science, Sacred Heart College, Tirupattur, India. The various e-Learning systems in recent times found to be ineffective in directing the individual learning style with the preferred learning abilities. Focusing on this inadequacy, this paper proposes a comprehensive study from the different styles on the existing frameworks engaging an adaptive learning algorithm that applies a data stream technique using Machine Learning for a better learning path. The adaptation process insists or allow the user to modify the parameters and to adapt the behaviour according to the system assumption. When the system adapts to a personal concept and responds, it is said to be a personalized process. This concentrate and generates more ideas and style towards student-centric learning and creating a new learning path for an individual or group of learners. This generic framework is grounded on four-dimension. This framework tailors the learning style according to the individual learning types by creating a specific learning objective by incorporating learning modules, personalization and learner Noesis with technologies 12 30 2019 4846 4854 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7903.129219 https://www.ijitee.org/portfolio-item/B7824129219/ Professor, Department of Statistics, Bharathiar University, Coimbatore, Tamil Nadu, India. Dr.R. Muthukrishnan* N.Udaya Prakash Research Scholar, Department of Statistics, Bharathiar University, Coimbatore , Tamil Nadu, India. Statistical learning is one of the most notable fields studied by the researchers to understand the data in the present scenario. Recent advances in the field of machine learning and artificial intelligence have been keen to develop more powerful automated techniques for predictive modeling, specifically in regression and classification models. These approaches fall under supervised statistical learning techniques, many conventional techniques are very complex to the data when it has larger volumes, i.e., if the data deviates from the model assumption, then the conventional procedure’s results does not have the trustworthy. This paper explores and compares the classical methods with the alternatives in the context of classification, like logistic regression and support vector machine. The efficiency of these procedures has been evaluated through various measures such as confusion matrix and misclassification rate under real environment. 12 30 2019 4366 4369 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7830.129219 https://www.ijitee.org/portfolio-item/B7830129219/ Research Scholar, Department of Mining Engineering, National Institute Technology Karnataka, Surathkal, India. B. N. V. V. Prudhvi Krishna* B. M. Kunar Assistant Professor, Department of Mining Engineering, National Institute Technology Karnataka, Surathkal, India. Ch.S.N. Murthy Professor, Department of Mining Engineering, National Institute Technology Karnataka, Surathkal, India. Challenging task of leakage current in photovoltaic converter is dealt for the application of portable mining electrical equipment. Inductive load and earth leakage causes distortion in the performance of the equipment in the transformer-less photovoltaic inverter systems. This leakage current introduce electromagnetic interference with neighboring circuits. The basic six device B6 type voltage source inverter is widely used for photovoltaic inverter systems, but leakage current is not addressed. H7 and H8 with additional switching device topologies reduces the leakage current problem and control strategy detects zero voltage states for reduction in switching losses. The proposed concept minimizes the leakage current due to inductance of RL loads, in general and specifically for mining equipment. Simulations study was carried out using MATLAB simulation software. Experimental were also carried out in real time, results showed that, reduced leakage current and total harmonic distortion in the output voltage and current waveforms. The elimination of the transformer and loading effects were analyzed for mining equipment having 1 kW Photovoltaic inverter system. 12 30 2019 2932 2937 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7832.129219 https://www.ijitee.org/portfolio-item/B7832129219/ Department of Mechanical Engg, Indian Institute of Technology (BHU) Varanasi, India. Ashutosh Kumar Srivastwa* Santosh Kumar Department of Mechanical Engg, Indian Institute of Technology (BHU) Varanasi, India. Pankaj Kumar Singh Department of Mechanical Engg, Indian Institute of Technology (BHU) Varanasi, India. Flow forming is an emerging process being widely used for manufacturing axisymmetric components that are used in the aerospace industry and automobile industries. In the present investigation, the mechanical response of the Al6101 T6 workpiece to the flow forming process has been studied. The study showed that the microhardness of the preform increased by 20.2% higher at 60% thickness reduction as compared to hardness value at 10% thickness reduction. A linear relation between the hardness variation and thickness reduction has been proposed based on experimental data. The internal diameter was found to increase with increase in the thickness reduction. In the present investigation, a 3mm increase in diameter was seen in the 120mm length. 12 30 2019 4370 4374 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7833.129219 https://www.ijitee.org/portfolio-item/B7833129219/ Associate Professor, Department of Civil Engineering Maharishi Markandeshwar Engineering College, Mullana (Ambala) Haryana, India. Mukesh Saini* Dr. Praveen Aggarwal Professor, Department of Civil Engineering, National institute of Technology, Kurukshetra , Haryana, India. Sunil Chauhan Assistant Professor, Department of Civil Engineering Maharishi Markandeshwar Engineering College, Mullana (Ambala) Haryana, India. The research work was carried out to investigate the behaviour of bituminous concrete mix with addition of waste plastic bottles made up of Polyethylene Terephthalate (PET) via dry process. Marshall moulds were prepared with bitumen content 5.0 to 5.8% (with 0.2% increment) and waste plastic content 0%, 4%, 6%, 8%, 10%, 12% and 14 % by weight of bitumen. Mechanical properties required for an ideal mix were determined. Results show that with increase in quantity of PET, mechanical properties of bituminous concrete mixes improve initially up to certain extent. The optimum bitumen content for conventional mixes was found to be 5.66%. Modified mix of 8% PET content with 5.40% bitumen content fulfils the requirements of modified mixes as per IRC SP-98, 2013 specifications. Bitumen content reduced to be 4.59% with addition of waste plastic bottle in bituminous concrete mixes. Hence, application of plastic waste in bituminous pavements is environmental friendly solution in terms of disposal of non-biodegradable waste plastic along with improvement in mechanical properties of bituminous mixes. 12 30 2019 732 736 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7834.129219 https://www.ijitee.org/portfolio-item/B7834129219/ M.Tech (Student), Dept of Electrical Engineering, JNTUA, Anantapur,AP,India. Karnati Karthik* P. Bharat Kumar Assistant Professor (Adhoc), Dept of Electrical Engineering ,JNTUA,Anantapur, AP , India. P. Sujatha Professor, Dept of Electrical Engineering, JNTUA, Anantapur , AP, India. The automatic load frequency control of six unequal areas hybrid model consist of thermal, reheat thermal plants, hydraulic governor system, nuclear, diesel, gas turbine plants. These generating units are represented from area one to area six. If any disturbance occurs in load results to variation of frequency and tie-line. When the generating area doesn’t meet load unit gives abnormal limits in response. This can be solved by the implementation of Proportional integral controller(PI), Artificial Neural Network controller(ANN), Adaptive Neuro Fuzzy Inference System controller (ANFIS).But still there is a chance to achieve better responses can be done by the proposed Genetic Algorithm (GA) based PI controller. In the MAT LAB environment hybrid model is developed. The Step varying input is applied that will leads to creating the disturbances and controlled by applying controller respectively. The evaluation of responses will be carried out by the control strategies of frequency responses and tie-lie power responses in all six areas hybrid model system. This work gives the information about the dynamic responses achieved by GA controller is more efficient than that of existing controllers and evaluated by MATLAB Simulink results. 12 30 2019 1922 1928 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7835.129219 https://www.ijitee.org/portfolio-item/B7835129219/ Associate Professor, Telemechanics in Railway Transport and Telecommunication Technologies of Tashkent Institute of Railway Engineering Abidova Gulmira Shuxratovna* It is known that the solution of such fundamental problems as the direct conversion of thermal and solar energy into electrical energy, the creation of superconducting materials, thermally stable materials and the development of the nanotechnology industry is directly dependent on the solution to the problem of obtaining highly pure substances. In practice, purification systems such as distillation columns, centrifuge-based devices, surface tension-based devices and adsorption-based devices are used to purify substances from impurities. The development of technology currently predisposes to the use of adsorption separation of the method in the analysis of multicomponent mixtures in many industries and the national economy and is gradually taking the place of traditional chemical and physico-chemical methods. The production of highly pure substances with a percentage of microimpurities less than 10-6% is possible only when using an adsorption unit with a large number of columns used. In industrial production, the number of columns in this installation is from 5000 to 10000 pieces. In this case, the signals coming from the adsorption unit in the form of a peak described by the Gauss function characterize the percentage of the test substance and to automate this process, the necessary condition is the use of devices for processing this signal. The efficiency of adsorption methods is significantly increased due to the automation of data processing at the output of the adsorption installation, which develops mainly in three directions: the use of universal general purpose personal computers for processing, the use of specialized computing devices. In general, the automation process involves pairing the adsorption unit with a personal computer, and to achieve this, it is necessary to use such devices for processing signals at the output of the adsorption unit as amplifiers, analog-to-digital converters, and a device for determining the beginning and end of the peak. This article is devoted to the calculation and development of a device for determining the beginning and end of a peak at the output of an adsorption tube. The developed device can be used in the production of high-purity silicon. Having available silicon of high degree of purification there is a possibility of production of such electronic devices as-the diode, the transistor, chips and other various semiconductor devices which essentially differ on the qualitative indicators. Along with this, the use of materials with a high degree of purification gives ample opportunities to improve the quality of manufacturing solar cells and LEDs of increased power. 12 30 2019 3908 3910 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7838.129219 https://www.ijitee.org/portfolio-item/B7838129219/ Department of Information Technology, Vignan’s Institute of Engineering for Women, Visakhapatnam, India. Ajay Kumar Badhan* S. Kalyani Department of Information Technology, Vignan’s Institute of Engineering for Women, Visakhapatnam, India. One of the most important issues relating to the environment is Air Pollution. This is because it does not solely harm the environment in various ways such as ozone layer depletion, global warming but additionally affects the living beings adversely inflicting various health-related problems. The major contributors to Air Pollution apart from industries are vehicles. So, to observe and scale back air pollutants emitted from vehicles this paper proposes a design to develop a smart pollution monitoring system using IoT for detecting the over polluting vehicles. A semi-conductor sensor known as mq2 sensor is integrated with Arduino Uno and it is placed at the emission outlet of vehicle from where the smoke is emitted. The mq2 senor senses the different pollutants emitted from the vehicle and takes the reading of it. It is then compared with the pre-specified threshold value which is already programmed in Arduino Uno. Once the pollution level shoots on the far side beyond the set threshold level, various sorts of warnings such as textual warnings such as messages and, visual warning using LED are fabricated to point that the limit has been breached. Apart from it, if the owner of the vehicle is not taking necessary precaution then a message will be delivered to the traffic control office using GSM along with the GPS location including latitude and longitude values of the vehicle and will impose a fine on the owner of the vehicle as per traffic norms and may also cease the vehicle. This paper, when implemented in real time will be beneficial for the society as it is very economical and yields good result for measuring the air pollution mostly in urban areas. 12 30 2019 1929 1935 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7839.129219 https://www.ijitee.org/portfolio-item/B7839129219/ Lecturer, Darrang College, Tezpur, Bipul Kumar Das* This paper examines the responsiveness of exports to FDI taking into account responsiveness to other determinants. Using 46 year annual data of the variables and applying various time series techniques such as unit root, cointegration, ARDL and ECM; the results show cointegration relationships among the variables as a whole. The results also show the existence of long run and short run causality from the determinants to exports. 12 30 2019 1208 1213 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7840.129219 https://www.ijitee.org/portfolio-item/B7840129219/ Scientist ‘G’ Head, Reliability Engineering Division, Research Centre Imarat, Vignyanakancha Po, Hyderabad, India K.V.B.V Rayudu* D R Jahagirdar Scientist ‘G’ Research Centre Imarat, Vignyana Kancha Po, Hyderabad, India Dr P Srihari Rao Associate Professor, NIT Warangal, Telangana, India FinFet transistors are used in major semiconductor organizations which play a significant role in the development of the silicon industries. Due to few embedded memories and other circuit issues the transistors have specific faults in manufacturing, designing of the circuit etc. This paper presents an advanced test algorithm to diagnose those faults. The circuit with different gates is designed to identify the places having faults. In addition, algorithms such as non-incremental algorithms is used to find critical path, path delay and PDF of Critical path delay and Genetic Algorithm for optimisation of Critical path delay for sensitive test vector and no of iterations. The transfer characteristics curve is plotted along with the delay curve which helps in finding out the simulation parameters such as noise margin, propagation delay. The results in the methodology calculate the probability density function of the critical path by estimating mean, standard deviation and variance. The advantages of the integration of the two algorithms in this paper help in analyzing the specific faults in the circuits and the error correction of the broken link in the path analysis and has enhanced performance. Furthermore, more complicated circuits are analyzed for fault detection with different approach. In this paper the research work on testing, diagnosis, estimation of Critical path and PDF of Critical path delay faults for FinFET based Combinational Circuits for 20nm and 32 nm Technologies are presented for the first time using latest Non Incremental Genetic algorithm. 12 30 2019 1673 1679 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7841.129219 https://www.ijitee.org/portfolio-item/B7841129219/ Research Scholar, University School of Applied Management, Punjabi University, Patiala, India. Tamiru Negi Tsige* Ravi Singla Assistant Professor, University School of Applied Management, Punjabi University, Patiala, India. Recently, even though, more emphasis is given to enterprise risk management (ERM) worldwide to manage risks, there is scant knowledge and empirical evidence on ERM implementation of financial institutions in Ethiopia as there are only limited research works or literature related to ERM trends in Ethiopia. Thus, the main objective of this study was to assess the enterprise risk management implementation of financial institutions in Ethiopia. This study adopted a descriptive research design. In order to obtain relevant data for the study, both primary and secondary data sources were employed. The primary data were gathered through questionnaires while secondary data were extracted from different relevant sources such as books, journals, and websites. The population of the study was the entire banks and insurance companies in Ethiopia. At the time of the survey, there were 35 financial institutions (18 banks and 17 insurance companies) registered with the National Bank of Ethiopia and operating in Ethiopia. The unit of analysis were these institutions’ headquarter office chief risk officers, chief financial officers, senior managers, technical staff of risk management units and other employees whose work is related to risk management in each of the selected institutions. The sample responds were selected using a purposive sampling technique and a total number of sample respondent were 180. The data collected was analyzed and presented using descriptive statistics and the results were presented using pie charts, tables, and graphs. The results of the analyses revealed that the majority of the financial institutions in Ethiopia involved in the survey have a formal ERM in place even though the extent of ERM adoption varies from institution to institution. However, the results of the analysis show that ERM implementation level is low and in its infant stage in financial institutions in Ethiopia and these financial institutions have also less developed ERM practices than international organizations. 12 30 2019 5289 5295 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7842.129219 https://www.ijitee.org/portfolio-item/B7842129219/ Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, India. Vikas Tripathi* Himanshu Silswal Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, India. Gaurav Rawat Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, India. Tanmay Jain Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, India. Due to the paced growth in web technologies and natural language processing, research on Sentiment Analysis (SA) has become very popular in recent times. In recent years most of the research papers have focused on sentiment analysis based on polarity (positive and negative sentiments). This paper presents an effective framework for identification of various moods of person from its written text or sentences. The paper focuses on the mood detection in given text written in mixed language called “Hinglish”. Hinglish is actually a fusion of two languages, English with the Hindi language. The major goal of this research is to propose a methodology for extracting information of emotions from a given text in Hinglish. The framework tested on 700 sentences containing Hinglish data. Seven emotions anger, happy, joy, confidence, sadness, tentativeness and fear have been used for generation of results. The proposed approach yielded an accuracy of 93.96%. 12 30 2019 1943 1946 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7846.129219 https://www.ijitee.org/portfolio-item/B7846129219/ Department of Computer Science and Engineering, Graphic Era deemed to be university, Dehradun, India. Vidit Kumar* Vikas Tripathi Department of Computer Science and Engineering, Graphic Era deemed to be university, Dehradun, India. Bhaskar Pant Department of Computer Science and Engineering, Graphic Era deemed to be university, Dehradun, India. Videos are recorded and uploaded daily to the sites like YouTube, Facebook etc. from devices such as mobile phones and digital cameras with less or without metadata (semantic tags) associated with it. This makes extremely difficult to retrieve similar videos based on this metadata without using content based semantic search. Content based video retrieval is problem of retrieving most similar videos to a given query video and has wide range of applications such as video browsing, content filtering, video indexing, etc. Traditional video level features based on key frame level hand engineered features which does not exploit rich dynamics present in the video. In this paper we propose a fast content based video retrieval framework using compact spatio-temporal features learned by deep learning. Specifically, deep CNN along with LSTM is deploy to learn spatio-temporal representations of video. For fast retrieval, binary code is generated by hashing learning component in the framework. For fast and effective learning of hash code proposed framework is trained in two stages. First stage learns the video dynamics and in second stage compact code is learn using learned video’s temporal variation from the first stage. UCF101 dataset is used to test the proposed method and results compared by other hashing methods. Results show that our approach is able to improve the performance over existing methods. 12 30 2019 2404 2409 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7847.129219 https://www.ijitee.org/portfolio-item/B7847129219/ Department of Operation Machine and Tractor Park, Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia. Gennady Maslov* Svetlana Borisova Department of Operation Machine and Tractor Park, Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia. Elena Yudina Department of Operation Machine and Tractor Park, Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia Valery Tsybulevsky Department of Tractors, Cars and Technical Mechanics, Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia. Michael Njomon Nda Department of Tractors, Cars and Technical Mechanics, Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia. This article presents the results of developing the design of the device and optimizing the parameters of the pneumatic slotted spray gun recommended for treating tubers with working fluids. In connection with the task, the flow rates of the working fluid by the sprayer were determined by the experimental design method and the speed characteristics of the airborne droplet for treating tubers in the coulters of a potato planter. It was found that the use of a device for processing tubers during the planting process contributes to the intensification of the cultivation of tubers while reducing financial costs and improving the quality of processing. 12 30 2019 1200 1203 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7848.129219 https://www.ijitee.org/portfolio-item/B7848129219/ Department of Mechanical Engineering, Faculty of Engineering, Taif University, Kingdom of Saudi Arabia. Hafiz Tauqeer Ali* The time and age we are living now is much more different than it was few decades ago. The world is changing with great pace so are the teachings and learning methodologies. Before teaching and learning methods mainly focused within classroom confines and do not include all the factors that could impact teaching and learning outcomes. But now the world is increasingly connected and mobile, therefore, the nature of information resources is changing drastically. The new information is not only unlimited and overwhelming in quantity but also it is networked, multimodal and easily accessible anytime anywhere in the world. Advent in digital technologies, such as computers, laptops, tabs, smart phones, wireless handheld devices, and the Internet have made it possible for learners to access to a wide range of learning and teaching resources and tools, in number of different languages (with the option of availability of translation in native languages) anytime and anywhere in the world. Through the emergence of digital technology tools, have made this possible to increase teaching and learning opportunities inside and outside institutionalized school systems. Through the proper use of modern technologies students and learners have full opportunities to take learning beyond traditional classrooms and the school day. By using digital technology tools, learners have opportunities to attend online courses not only anywhere, anytime but also can record and save the information for future use, if needed. Thus, the aim of this study is to focus on the effectiveness of digital technology as a tool in Teaching and Learning (T&L) approach. 12 30 2019 5007 5012 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7851.129219 https://www.ijitee.org/portfolio-item/B7851129219/ Research Scholar and Pursuing PhD (Marketing), Maharishi Markandeshwar (Deemed to be) University, Ambala, India Kanika Budhiraja* Dr. Meenu Gupta Associate Professor, Member of Departmental Research Committee, MMIM, Maharishi Markandeshwar (Deemed to be) University, Mullana, Ambala, India. Considering the significance of Adolescents behaviour in family purchase decisions, the study initiated with the objective to unearth the adolescents influence on the buying decisions of the family. The purpose of the study is listed down into three parts: Firstly, to explore the relationship between the age of adolescents and its effect on buying decisions of family. The next objective is to catalogue and position the products on the basis of influence of Adolescents. Subsequently, the other task is to examine and establish the comparative analysis of Adolescents influence for three different goods categories (so designed) and also analysing it at various stages of Family purchase process. The research methodology is based on the study of relevant review work done in the past and an interview conducted amongst the adolescents for the data collection. Furthermore, a structured questionnaire is circulated amongst adolescents aged between 14-19 years. Data was collected from 350 adolescents. Study also exhibited that there are three product categories identified by factor analysis explicitly “Prominent” Products, “Popular” Products and “Common” Products– It was observed that Popular products gained maximum attention of adolescents, followed by Prominent Products and the least attention seeker for adolescents are Common Products. These categories are designed in context to Indian families & environment. Multivariate Analysis of Variance, i.e., MANOVA was also applied for third objective which presented the outcome that in case of Prominent and Popular Products, adolescent’s impact is greatest at the beginning stage of the purchase process and least at exploration stage. But in case of Common Products, Adolescents influence is highest at the stage of decision making and selection. This study can have enormous future relevance for the marketers by the way of providing them with broad scope of adolescents’ behavioural understanding in family in context to different product categories and at multiple buying stages of family purchase process. This could be considered as the base for formulating and executing various marketing plans. The paper bears uniqueness in terms of analysing adolescents’ behaviour in relation to multiple product catalogues and relating the segmentation across various family buying stages. 12 30 2019 4772 4777 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7853.129219 https://www.ijitee.org/portfolio-item/B7853129219/ Department of Computer Science and Engineering, Graphic Era deemed to be university, Dehradun, India. Sarthak Garg* Harshit Garg Department of Computer Science and Engineering, Graphic Era deemed to be university, Dehradun, India. Vikas Tripathi Department of Computer Science and Engineering, Graphic Era deemed to be university, Dehradun, India. Bhasker Pant Department of Computer Science and Engineering, Graphic Era deemed to be university, Dehradun, India. Kumud Pant Department of Computer Science and Engineering, Graphic Era deemed to be university, Dehradun, India. A good image analysis model can be very helpful in accurate diagnosis/classification of diseases for which images are available. Due to a plethora of public image databases, training and testing of algorithms on the dataset have helped in the development of an efficient framework for image classification. Skin cancer is one such disease for which recently image databases have been developed. Of the various methods of classification of skin cancer based on image analysis, convolutional neural network (CNN) has proven to be better performing than conventional machine learning approach. Realizing the importance of developing an efficient framework for skin cancer classification, this paper proposes a framework which utilizes VGG-16 CNN model to classify cancer images into categories namely, malignant or benign. We have trained the model using the skin cancer images freely accessible on the ISIC archive and attained an accuracy of 97.81%. 12 30 2019 1947 1951 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7854.129219 https://www.ijitee.org/portfolio-item/B7854129219/ Department of Information Technology, Terna Engineering College, Nerul, Navi Mumbai, Maharashtra, India, Saurabh Patil* Lata Ragha Department of Computer, Fr. Agnel Engineering College, Vashi, Navi Mumbai, Maharashtra, India, Vehicular Ad-Hoc Networks (VANETs) is evolving into highly developed systems that improve driver experience in terms of security and offer much-needed tranquility on the roads as well. VANET makes it possible for a vehicle to communicate, (vehicle to vehicle communication) V2V, beyond its visual coverage region for an advance alert. Vehicle accident alert depends on data received from sensors, cameras, onboard units, wireless communication, global positioning systems, and Roadside Units (RSU) placed on equidistance along the roads. It collects data from all entities, i.e., RSUs or OBU, and processes it, leading decisions subsequently. In V2V communication, vehicles support different services such as declaring an accident with their exact coordinates and traffic status updates. In this paper, a protocol is discussed and reviewed and studied about on-vehicle wireless communication capabilities in terms of handling accident alerts for road safety applications. Accident detection in an early stage can help in saving life on the road and enhance medical support probability. Providing the accurate time of accident and locality to the approaching vehicles to reduce down further mishaps on the road. This proposed protocol is flexible enough to adapt real-time environmental adjustments, including road density and speed, traffic state, and network dynamics. 12 30 2019 3325 3330 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7856.129219 https://www.ijitee.org/portfolio-item/B7856129219/ Assistant Professor, Department of Mathematics, Agurchand Manmull Jain College, Meenambakkam, Chennai, Tamil Nadu – 600114, India. R. Sreenivasan* M.S. Paulraj Associate Professor, Department of Mathematics, Agurchand Manmull Jain College, Meenambakkam, Chennai, Tamil Nadu - 600114, India. There are many concepts in science that are very hard to understand and to make use of them in a effective way, it is atmost important to have a tool that best explains these complex concepts in a simpler way. Graph theory is one of the most interesting topics in mathematics that was used to explain many complicated concepts in a simpler and easier way. Graph theory is not just about points and lines and above all, there are many interesting topics in graph theory which has motivated many scholars to pursue research in different areas. One of the most interesting and elite topics in graph theory is the path. The researchers have discovered different types of concepts using paths and have proved different characteristics. Cube of a path graphs are one of those fascinating graphs that have evolved from paths and has been proved to admit a variety of properties. Like paths, labeling is also an area where graph theoretic researchers have shown great interest and have come up with different types of labeling. With the discovery of a spate of labeling, it has motivated and kindled the researchers to apply these labeling to a variety of graphs and check the admittance of different types of properties. One such intriguing type of labeling is the vertex antimagic edge labeling. In this paper, we will show that the cube of a path graph admits vertex antimagic edge labeling. 12 30 2019 1952 1955 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7857.129219 https://www.ijitee.org/portfolio-item/B7857129219/ Department of Computer Science and Engineering, NIT Srinagar, India Saniya Zahoor* Roohie Naaz Mir Department of Computer Science and Engineering, NIT Srinagar, India In most of the IoT applications, exchange of data among various physical and virtual IoT devices having different data flows, energy and delay constraints is a challenging task in such environments. This imposes constraints in IoT applications at the node, network and application level, and to meet such constraints, we propose an adaptive IoT system that adapts to different data flows in IoT network having different time and energy constraints. The proposed scheme consists of two algorithms viz., coarse grain transmission path algorithm for low-deadline IoT applications, where time, traffic load and energy consumption are considered as the main parameters; and a fine-grain algorithm for high-deadline situations, where low latency and power constraints are the important performance parameters. Finally, the performance of proposed strategy is evaluated by simulation. The results of the proposed scheme in this paper outperform the existing algorithms in terms of energy, power, number of alive nodes and delay. The proposed scheme is used for data transmission optimization in delay-sensitive resource-constrained IoT applications. 12 30 2019 1956 1964 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7859.129219 https://www.ijitee.org/portfolio-item/B7859129219/ B.E in Mechanical Engineering from NRI Institute of Information Science & Technology, Bhopal (MP.) India Abhinay Gangwar* Anoop Pathariya B.E in Mechanical Engineering from NRI Institute of Information Science & Technology, Bhopal (MP.) India Hitesh Kumar B.E in Mechanical Engineering from NRI Institute of Information Science & Technology, Bhopal (MP.) India Double pipe heat exchanger has wide applications in industrial process. Thermo-hydro performance plays an important role from the economic point of view. Different enhancement techniques are available for the improvement of heat transfer. In this study the hydrothermal performance of double pipe heat exchanger with single and double HTI on inner pipe of double pipe heat exchanger were experimentally examined. Two types of inner tubes with single and double helical tape was fabricated. Experiments were performed by different mass flow rate of annulus side in the range of 0.072-0.21 kg/s varied. In order to validate the result three dimensional CFD simulations are performed, using Fluent software. CFD simulations analysis was done under turbulent flow conditions. Key design parameters such as heat transfer coefficient and Nusselt number are evaluated in order to predict the performance of DPHE. Findings from this study shows that hydrothermal performance of double pipe heat exchanger with double helical tape is better than single HTI. Moreover both the results of CFD simulation & experimental one are in good agreement. Therefore, the present study will help the manufacturers in providing the better thermal performance of DPHE. 12 30 2019 1965 1972 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7861.129219 https://www.ijitee.org/portfolio-item/B7861129219/ School of Housing Building and Planning, Universiti Sains Malaysia, Gelugor, Penang, Malaysia. Noor Hikmal Noor Eing Izyan Yahaya* School of Housing, Building and Planning, Universiti Sains Malaysia, Gelugor, Penang, Malaysia. Construction sector is always associated with 3Ds industry (dangerous, dirty and difficult). Despite the significant contribution of the sector on Malaysia economic development, the statistics have shown that the sector has enormous impact on the increase number of fatality and accident rates at construction site. The employment of foreign workers with low construction skill into Malaysia has further deteriorated the site safety performance. To find improvement for this phenomenon, this research begin with investigating the current site safety approaches implemented by the foreign workers, the challenges faced by them and the strategies taken by the company to improve safety practices at construction site. In order to obtain a conclusive finding, in-depth interviews with foreign workers working with construction companies Grade 7 and their managers were carried out. Overall the findings reported that, first, although there are safety measures taken during construction operation (e.g. wearing Personal Protective Equipment (PPE), following safety signs and housekeeping), the measures were only be implemented occasionally. Second, language barrier, lack of safety awareness, lack of safety training and do-not-care attitude of foreign workers are found to be the major challenge led to poor site safety practices. Third, proficient in local language, develop safety awareness and supportive site condition and monitoring effort by the Site Managers are reported as important aspect to improve site safety performance. These findings enhance the understanding about site safety practices of the foreign worker who work in Malaysia. It also provides valuable improvement measures that can be carried out by top management and other construction bodies to improve site safety condition in Malaysia. 12 30 2019 3190 3195 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7864.129219 https://www.ijitee.org/portfolio-item/B7864129219/ Pusat Citra Universiti, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia. Hamdzun Haron* Modern painting was a new ideology that was brought in from Western countries in the 20th century. The art form, which was pioneered by renowned artist Paul Cezanne, can be identified through its own unique style, characterised by bold brush strokes and strong colours that represent self-expression. The influence of the modern painting movement was first introduced to the Malay Peninsula in the early 1900s by the British, who had colonised Penang at the time. This influence resulted in the emergence of three prominent local painters, who became local leaders of the modernism ideology, namely, Abdullah Ariff, Hoessein Enas and Syed Ahmad Jamal. Their indomitable spirit and efforts to develop the local painting scene succeeded and this is evident in their establishment as painters that are regarded as being of high calibre both nationally and internationally. They must therefore be categorised as leaders and visual guides to encourage Malay youth to participate in the world of painting. Therefore, an analytical observation must be carried out to show that these three prominent painters possess characteristics of leadership, creativity, critical thinking and efficiency, as well as advantages in various aspects whether in art creation or administration. Among these aspects are a dominant personality, painting through touches of colour on a canvas that can influence the viewer, the ability to move their peers and students to take part in the arts and to effectively convey a theme through painting. In order to consider these matters, the writer used the qualitative observation method, with a cultural approach, specifically by collecting written data and visuals from the National Visual Art Gallery. The existence of this research paper provides us with a picture of a sincere and persistent struggle, which succeeded in guiding local youth to join the effort in further elevating the nation's visual art field. 12 30 2019 1973 1981 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7867.129219 https://www.ijitee.org/portfolio-item/B7867129219/ Department of Civil Engineering, Aarupadai Veedu Institute of Technology, Paiyanoor, India. Dr.S.P. Sangeetha* Dr.P.S.Aravind Raj Department of Civil Engineering, Aarupadai Veedu Institute of Technology, Paiyanoor, India. Benjohnson Lyngdoh Under Graduate student, Department of Civil Engineering, Aarupadai Veedu Institute of Technology, Paiyanoor, India. Mohammad Razzab Ali Raien Under Graduate student, Department of Civil Engineering, Aarupadai Veedu Institute of Technology, Paiyanoor, India. Rilangkupar Lyngkhoi Under Graduate student, Department of Civil Engineering, Aarupadai Veedu Institute of Technology, Paiyanoor, India. In recent days, there is an intense need for an alternate cost effective and sustainable raw material for concrete which does not make the structure inferior in strength. An experimental study on the utilization of the waste plastic and M-sand in the place of river sand and aggregate partially was performed in paper. In the scenario of scarcity of river sand due to the territorial government action and restriction of usage because of the eco and environmental consideration, M-Sand is found to be an effective replacement and cost effective material. Concrete specimens were casted with combination of M-sand and plastic waste with 5%, 10%, 15%, 20% and 25% and compared against control mix. Cube test for compressive strength study, cylinder test for split tensile strength study and prism test for flexural strength study were done with the proposed concert mixture. All the specimens and tests were done for different curing period of 7, 14 and 28 days. The results obtained from the proposed mix of concrete are compared with the conventional concrete mix specimen respectively. The replacement of fine aggregates reduces the quantity of river sand to be used in concrete and also plastic fibres are proved to be more economical. Positive performance of the concrete with waste plastic and M-Sand as partial replacement of river sand was observed on all the experiments and found optimal in sustainable and economical performance. 12 30 2019 1667 1669 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7869.129219 https://www.ijitee.org/portfolio-item/B7869129219/ Department Of Mechanical Engineering Chandigarh University, Punjab, India. Ajneesh Kumar* Gurjit Boparai Department Of Aerospace Engineering Chandigarh University, Punjab, India. In this paper study the heat transfer rate in a branched and rectangular micro channel. Using the aspect ratio of height and width were 1:1 for straight channel and 0.75/1 for branched channel. This experiment was done for same convective area 60 mm2. This experiment was study how to affect the aspect ratio to temperature drop. The change of effect the aspect ratio we are found by simulation by using the other branch channel aspect ratio (1) or straight micro channel aspect ratio (1.37) and the same area 47mm2. These different aspect ratio straight and branched channels compare to each other. Then studied after this experimental data as a function of aspect ratio increase the 20% of friction constant evidence at low aspect ratio. Then the wall temperature is carried 92⁰c and heating the heat sink at 90 watts. Using the convective heat transfer in the micro-channel. Study the effect of varying aspect ratio for both branched and rectangular micro-channel has analysed in this study and experimentally performed. Analysis of heat transfer by varying the Nusselt number. The effect of varying Nusselt number or temperature difference on both straight micro-channels and branched micro-channel was studied. 12 30 2019 3608 3612 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7870.129219 https://www.ijitee.org/portfolio-item/B7870129219/ Mechanical Department, V.R.Siddhartha Engineering College Vijayawada, India. Prakash Babu Kanakavalli* Vijaya Babu Vommi Mechanical Department, A.U College of Engineering (A) Andhra University. High amount of flexibility and quick response times have become essential features of modern manufacturing systems where customers are demanding a variety of products with reduced product life cycles. Flexible manufacturing system (FMS) is the right choice to achieve these challenging tasks. The performance of FMS is dependent on the selection of scheduling policy of the manufacturing system. In Traditional scheduling problems machines are as considered alone. But material handling equipment’s are also valuable resources in FMS. The scheduling of AGVs is needed to be optimized and harmonized with machine operations. Scheduling in FMS is a well-known NP-hard problem due to considerations of material handling and machine scheduling. Many researchers addressed machine and AGVs individually. In this work an attempt is made to schedule both the machines and AGVs simultaneously. For solving these problems- a new hybrid metaheuristic JAYA algorithm (HJAYA) is proposed. 12 30 2019 1982 1988 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7872.129219 https://www.ijitee.org/portfolio-item/B7872129219/ Student of the Department of Construction/Moscow State University of Civil Engineering/Moscow/Russia Lipatova Ekaterina* Basik Daniil Student of the Department of Construction/Moscow State University of Civil Engineering/Moscow/Russia Petrova Katerina Student of the Department of Construction/Moscow State University of Civil Engineering/Moscow/Russia Kudinov Artyom Student of the Department of Construction/Moscow State University of Civil Engineering/Moscow/Russia Kuznetsov Vladimir Student of the Department of Construction/Moscow State University of Civil Engineering/Moscow/Russia Makeeva Ekaterina Student of the Department of Construction/Moscow State University of Civil Engineering/Moscow/Russia In this work, laboratory engineering - geological examinations of the soil properties were carried out to prepare design documentation for the construction of an apartment building. In order to conduct laboratory research in accordance with the applicable regulatory documents, the following set of engineering and geological works were carried out in the examined area. The indicators obtained as a result of the laboratory research will be one of the important indicators during the design works. 12 30 2019 1662 1666 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7876.129219 https://www.ijitee.org/portfolio-item/B7876129219/ Assistant Professor and Head in Dept. of Computer Science, Vidnyan Mahavidyalaya, Malkapur (M.S.), India. S.E. Warkhede* Dr. S. K Yadav Research Director in Shri JJT University, Churu, Rajasthan Dr. Vilas M. Thakare Professor, Head in Computer Science, Faculty of Engineering & Technology, Post Graduate Department of Computer Science, Sant Gadgebaba Amravati University, Amravati. Dr. Prafulla E. Ajmire head of department of Computer Science at G S Science, Arts & Commerce College, Khamgaon. (M.S.), India. The offline handwritten identification in the area of pattern recognition was a heavy and difficult task. Because of its application in different areas, a set of work is being done and the results are continuing to be strengthened by different methods. We suggested in this paper a handwritten model for individual character recognition using generalized neural networks for feed forward. We take 17 character samples handwritten in scanned image format for experimental purposes; Rajasthani knows 850 different samples of handwritten characters. HOG extraction methods are used to construct pattern vectors for all training sets. These features are recognition classifier for generalized feed forward. We obtained an overall classification with GFF classifier accuracy rate of 85.21% from the proposed scheme for the identification of Rajasthani characters. 12 30 2019 3230 3233 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7884.129219 https://www.ijitee.org/portfolio-item/B7884129219/ Department of Electrical and Electronics Engineering, NIT Mizoram, Aizawl, India. Sukanta Debnath* Pabitra Kumar Biswas Department of Electrical and Electronics Engineering, NIT Mizoram, Aizawl, India. This paper presented the force analysis of single coil actuator for Active Magnetic Bearing (AMB) system. Actuator is the most important segment of AMB system. In the bearing system rotor should be levitate before rotation. For the levitation required force is generated by actuator. For the specific structure attractive force is different. These force analysis is done in this manuscript. Depending upon the force appropriate structure can be used for design a perfect AMB system. Here force analysis is performed in ANSYS Maxwell software and characteristics graphs are presented in 2D and three dimensional plots are constructed using MATLAB for the better observation. 12 30 2019 2870 2874 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7889.129219 https://www.ijitee.org/portfolio-item/B7889129219/ Assistant Professor, Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. Ragipati Karthik* K. Aravind Reddy B. Tech, Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India R.P.V.N.N. Kumar B. Tech, Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. HVAC (Heating, Ventilation and Air Conditioning) is the technology of indoor and vehicular environmental comfort and to control these systems. The status of building energy consumption is increasingly prominent. Indoor air pollution is 10times danger than outdoor due to incorrect functionality of heating, ventilation, and air condition system. For indoor environment quality, a novel real-time method for HVAC system operation is developed. Internet of things is used to monitor the indoor air quality by using embedded electronics, software and sensors and connectivity. This project aims to integrate air condition, ventilation and protected system on a single embedded system that alerts early warning for the unpredictable dangers. The wireless sensor nodes have limited processing power and memory. In order to embed intelligence into sensor nodes, a hybrid algorithm is proposed containing RNN (Random Neural Network) and LNP (Linear Non-linear Poisson) cascade model. 12 30 2019 3613 3616 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7890.129219 https://www.ijitee.org/portfolio-item/B7890129219/ Department of Computer Science and Engineering, Nitte Meenakshi Institute of Technology, Bangalore, India, Sujata Joshi* Mydhili K. Nair Department of Information Science and Engineering, M.S.Ramaiah Institute of Technology, Bangalore, India,. In the recent past, Myocardial Ischemia has emerged as a major cause of death worldwide, and hence we should look at its timely diagnosis and care. The cause of Ischemia is due to clogging of blood supplying arteries leading to the heart by a substance called plaque. This leads to reduced supply of oxygen to heart without which the heart muscles begin to die leading to a myocardial infarction or heart attack. Early detection of ischemia is of critical importance because, in most of the cases, the effects of myocardial ischemia are reversible if detected early enough. The objective of this paper is to detect Myocardial Ischemic events from Echocardiography data. The echocardiography data reports used in this work is obtained from M.S.Ramaiah Narayana Heart Centre from June 2018 to June 2019. It has 344 patient data and 42 features extracted for each patient. The two events identified to be detected are Left ventricular hypertrophy(LVH) and Left ventricular diastolic dysfunction(LVDD). Firstly the data is preprocessed for removal of noise and outliers. Then we apply feature reduction techniques to retain only those features which are meaningful to the purpose of prediction of events identified. The predictive models are then developed on the reduced feature set. In this research, we have proposed the algorithms LVH-PRED-MODEL and LVDD-PRED_MODEL for detection of LVH and LVDD ischemic events. The proposed algorithm uses Linear Discriminant Analysis for feature reduction and Multilayer perceptron for training the models. The results show excellent accuracy of 88.37% for LVH-PRED-MODEL and 86.04% for LVDD-PRED-MODEL using the proposed approach. The Area Under Curve is 83.5% and 73.37% for LVH-PRED-MODEL and LVDD-PRED-MODEL events respectively. These models can be applied in real time to detect myocardial ischemic events by healthcare workers. 12 30 2019 2875 2880 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7891.129219 https://www.ijitee.org/portfolio-item/B7891129219/ Bachelor of Technology in Electronics and Communication from Malla Reddy Institute of Engineering and Technology, Hyderabad, Telangana, India. Ms.B. Swapnika* Mr.ch. Ganesh Asst. Professor, ECE Department , VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India. In this paper, we tend to advocate 4:2 compressors, that have the flexibleness of trade between the particular andinexact operational modes.Multiplicationis based totally on multiply and adder unit,filtering,convolution which are extensively used in applications of signal processing. As, multiplication takes more execution time in DSP structures, there is need to develop high pace multipliers.In the approximate mode, those dual compressors offer quickness and decrease current consumptions on the fee of lower accuracy.Every single compressors has its personal diploma of efficiency interior the approximate mode moreover to one-of-a-kind delays and strength dissipations internal the approximate and true modesexploitation these compressors inside the buildings of parallel multipliers affords configurable multipliers whose accuracies (as properly as their powers and speeds) can even change dynamically at some stage within the runtime. The proficiency of this compressors in 32-bit Dadda multiplier factor are evaluated exploitation VerilogHDL and simulated and synthesized the usage of XILINX ISE style healthy evaluated by using the employment of modified Carry opt for adder.Comparing their parameters with those of the existing dadda multiplier designed using 4:2 compressors 12 30 2019 1763 1767 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7893.129219 https://www.ijitee.org/portfolio-item/B7893129219/ Lecture on Computer Engineering, Department of Electrical Engineering, Universitas Indonesia. Alfan Presekal* Muflih Fathan Student of Computer Engineering, Universitas Indonesia. I Gde Dharma Nugraha Lecture in Department of Electrical Engineering, Universitas Indonesia. Kalamullah Ramli Professor on Computer Engineering in Computer Engineering, Universitas Indonesia. Traffic jam is still one of the main problems in Jakarta Indonesia. To encounter this problem, we proposed system to monitor the road and perform calculation on vehicles speed and road density. To achieve this, we used SSD to detect vehicle traffic on Jakarta’s road which obtained from public IP Camera. The main contribution of this work are utilization of public IP Camera and remote traffic analytics via cloud based artificial intelligence system. As a result, the program can perform monitoring on roads condition in real time. The accuracy of the system in average is 80% with highest accuracy achieved 92% to detect vehicle speed and road density. 12 30 2019 3617 3622 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7896.129219 https://www.ijitee.org/portfolio-item/B7896129219/ Department of Computer Science Engineering, Koneru Lakshmaiah Education Foundation (KLEF),Green Fields, Vaddeswaram, Guntur District, Andhra Pradesh, India K Sai Prasanthi* A K Subash Department of Computer Science Engineering, Koneru Lakshmaiah Education Foundation (KLEF),Green Fields, Vaddeswaram, Guntur District, Andhra Pradesh, India. B Manoj Department of Computer Science Engineering, Koneru Lakshmaiah Education Foundation (KLEF),Green Fields, Vaddeswaram, Guntur District, Andhra Pradesh, India. P Sunil Kiran Department of Computer Science Engineering, Koneru Lakshmaiah Education Foundation (KLEF),Green Fields, Vaddeswaram, Guntur District, Andhra Pradesh, India. One of the main challenge in cloud is Cost Optimization. In cloud computing, the cloud providers usually calls CSP offer provisioning plans for the cloud consumers in the following two ways one is reservation plan(also referred as long term plan) and the other is on-demand plan(also referred as short term plan). In general, cost of computing asset provisioned by reservation plan is cheaper when compared to cost obtained by the on-demand plan, With the reservation plan, the consumer can reduce the total asset provisioning cost since cloud consumer has to pay to provider in advance. However, the best advance reservation of assets is difficult to be accomplish due to uncertainty of cloud consumer’s future demand and providers’ resource prices. To address this problem, an OCRP algorithm is proposed by formulating a SPI model. The OCRP algorithm can provision computing assets for being used in multiple provisioning stages as well as a long-term plan. The demand and price uncertainty is considered in OCRP. In this project, different approaches to obtain the solution of the OCRP algorithm are considered including DEF, SAA and Benders decomposition. Numerical the studies are extensively performed in which the outcomes clearly show that with the OCRP algorithm, cloud consumer can successfully minimize total cost of asset provisioning in cloud computing environments. 12 30 2019 4778 4781 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7897.129219 https://www.ijitee.org/portfolio-item/B7897129219/ Department of Computer Science, Kristu Jayanti College, Karnataka, India. Gopika S* Malathi D Department of Computer Science & Engineering, SRM IST, Chennai, India K Kalaiselvi Department of Computer Science, Kristu Jayanti College, Karnataka, India. Quality estimation in images is an area which demands high attention of researchers. Many recent algorithms in Image quality assessment relies on the computation of definite values from the image or comparison with the original pristine image. Here, we propose the extraction of a set of specific features from image and processing is done on these extracted features to obtain the objective quality score. The detailed inspection of behaviour of this set of highly specific image features extracted through less complex mathematical procedure from a collection good quality and low quality set of Natural Scene Statistics images available in LIVE dataset is elaborated in this work. Our studies and results are compared with the subjective opinion value and is proven to be accurate. The obtained results are demonstrated using statistical and graphical manner for promptness in understanding the nature of quality of the image. Thus the proposed feature set is proven to be complete in assessing the quantitative quality value of any Natural image. 12 30 2019 2881 2888 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7899.129219 https://www.ijitee.org/portfolio-item/B7899129219/ M.Tech, Department of Electronics and Communication Engineering, West Bengal University of Technology, West Bengal, India. Soumyendu Bhattacherjee* Ms. Aishwarya Banerjee M.Tech, Department of Electronics and Communication Engineering, West Bengal University of Technology, West Bengal, India. Dr. Biswarup Neogi PhD, Department of ECE Jadavpur University, Kolkata, India. Main focus of this research work is aims towards the nonlinear analysis of human cardiac muscle by describing function technique and finding stability using lyapnuov stability theory. The nature of cardiac muscle can be modeled by mass, spring with a damper where for simplicity spring and damper are considered a linear element. In reality, it has been observed that, the characteristics of spring and damper are not linear rather nonlinear. Not only that, transportation delay (non-zero reaction time) or lag phase of cardiac muscle plays an important role to make the overall model nonlinear. The range of transportation delay for which the system is stable has been calculated here to ensure the presence of dead zone type nonlinearity in cardiac muscle. In this paper a nonlinear characteristics of the model has been analyzed considering dead zone combined with saturation. The describing function technique is used here to represent the nonlinearity. A converging stable limit cycle has been found after the analysis. Finally, lyapnuov stability theorem is applied on our proposed model and it has been that the system is asymptotically stable in the sense of lyapnuov. 12 30 2019 1815 1820 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7900.129219 https://www.ijitee.org/portfolio-item/B7900129219/ Russian State Social University, Moscow, Russia. Mikhail V. Afonin* Anna L. Krivova Russian State Social University, Moscow, Russia. Marina Ju. Martynova Russian State Social University, Moscow, Russia. Larisa D. Rudenko P.G. Demidov Yaroslavl State University, Yaroslavl, Russia. Galina Y. Nikiporets-Takigawa Russian State Social University, Moscow, Russia; Cambridge University, Cambridge, England, United Kingdom. The relevance of this article is due to the growing role of young people in the political life of Russia and in the transformation of the social, political and economic spheres. Young people are the moving force behind all major processes in any country. Concerning Russia, it should be noted that young people make up a third of the population. The way the problems of Russian youth will be solved will determine the current vitality and future of the country. The practice of the last decades convincingly proves that in the rapidly changing world, those countries that can effectively form and productively use the innovative development potential, the main carrier of which is young people, will have strategic advantages. 12 30 2019 5154 5158 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7903.129219 https://www.ijitee.org/portfolio-item/B7903129219/ Federal State Unitary Enterprise Central Scientific Research Automobile and Automotive Institute NAMI, Moscow, Russia. Andrey Kozlov* Vladislav Kolesnikov Federal State Unitary Enterprise Central Scientific Research Automobile and Automotive Institute NAMI, Moscow, Russia. Mikhail Mironov Federal State Unitary Enterprise Central Scientific Research Automobile and Automotive Institute NAMI, Moscow, Russia. Gennady Kornilov Federal State Unitary Enterprise Central Scientific Research Automobile and Automotive Institute NAMI, Moscow, Russia. Given the rising cost of crude oil and fuels based on it, as well as acute environmental problems, alternative energy sources are becoming increasingly important. Natural gas is the most affordable alternative fuel for Russia. A study was carried out at FSUE NAMI on the conversion of the L6 engine from diesel to natural gas. The study included testing of gas fuel equipment both to determine its performance and to test its stability at low temperatures. The greatest interest was the selection of gas injectors for distributed gas supply to ensure the required cycle flow rate. Motorless tests of electronic gas injectors BOSCH, IMPCO, WOODWARD, as well as gas injectors produced by Concern KEMZ JSC were carried out. Based on the results obtained, the choice of gas injectors for further use in the gas engine was justified. 12 30 2019 3623 3628 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7905.129219 https://www.ijitee.org/portfolio-item/B7905129219/ Vologda state University, Vologda, Russian Federation Yuri M. Avdeev* Liliya Z. Gumerova Kazan (Volga region) Federal University, Russian Federation Inna M. Vankovich Financial University under the Government of the Russian Federation, Moscow, Russian Federation Olga V. Dymchenko Don State Technical University, Rostov-on-Don, Russian Federation Vitaly M. Smolentsev Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russian Federation Lyudmila I. Petrova Altai State University, Barnaul, Barnaul, Russian Federation Successful digital transformation requires paying increased attention to security. Some of the world's largest companies have been victims of cyberattacks. Internet Protocol addresses, personal information and finance are constantly at risk. In the digital world content, corporate networks of the past no longer exist. Security must be built directly into all applications. However, many companies delay the strengthening of their security systems until it is too late. According to Gartner, until 2020, 99% of vulnerabilities in operating systems have been known to IT security specialists for at least a year. This means that companies must first eliminate the existing vulnerabilities that they know. According to some estimates, almost 85% of the participants in the financial market call digital transformation the main priority for the next 3–4 years, because they see in it not only cost reduction, but also the possibility of creating new business models, new communication with the client, and, in fact, new sources of income. Recently, the financial system of Russia has been catching up with the West in terms of digitalisation and now it is developing faster than Western markets. All this suggests the need for closer attention to ensuring the security of transformation processes taking place in the financial market. 12 30 2019 3572 3577 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7908.129219 https://www.ijitee.org/portfolio-item/B7908129219/ Power Engineering Department, Rostov State Transport University (RSTU), Rostov-on-Don, Russia. Pavel Grigorievich Kolpakhchyan* Vladimir Ivanovich Parshukov Limited liability company scientific and production enterprise "Don technologies" (LLC NPP "Don technologies"), Novocherkassk, Russia. Elena Alfredovna Yatsenko Power Engineering Department, Rostov State Transport University (RSTU), Rostov-on-Don, Russia Alexander Evgenievich Kochin Power Engineering Department, Rostov State Transport University (RSTU), Rostov-on-Don, Russia. Margarita Sergeevna Podbereznaya Power Engineering Department, Rostov State Transport University (RSTU), Rostov-on-Don, Russia. The article deal with the determining the equivalent circuit parameters of a solid rotor asynchronous electric machine. To solve the problem, we determined the structure and parameters of a mathematical model using known geometric relationships and parameters of used materials. The least square method is used to determine the equivalent circuit parameters of an unlaminated-rotor asynchronous electric machine. The magnetic field distribution is calculated when the stator winding is supplying with a sinusoidal current and under short-circuit conditions. The imaginary part of the stator phase inductance versus stator current frequency when the rotor is fixed is calculated using the field theory. This dependence is approximated. The system of algebraic equations determining the approximation parameters is non-linear. The Levenberg-Marquardt method provides solution convergence of the equation system when using two or more loops on the rotor. The selection of the initial approximation largely determines the convergence of the solution made by the iterative method. The preliminary studies showed that the use of simplified scheme of the substitution of an asynchronous electric machine with one contour on the rotor is suitable as an initial approximation of parameters. The numerical solution of the equations determined the approximation parameters. The equivalent circuit parameters of high-speed electric generator with solid asynchronous rotor was made as an example of using of the approach under consideration. We need to use three loops on the rotor in the mathematical model of the asynchronous electric machine to take into account the effect of current displacement in solid rotor. 12 30 2019 1880 1885 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7909.129219 https://www.ijitee.org/portfolio-item/B7909129219/ Civil Engineering Department, Ujjain Engineering College, Ujjain, India. Shivam Shridhar* Dr. Savita Maru Civil Engineering Department, Ujjain Engineering College, Ujjain, India. Rapid urbanization leads to the development of tall structures due to less availability of land and higher growth in the population. High rise structures are more vulnerable to wind forces and at higher elevation point’s structure may acts as a dynamic sensitive structure. Various countries has provided a pseudo-static constant for the calculation of dynamic wind forces known as the gust factor. Present study aims to evaluate and compare the structural response of three structure i.e. Braced Frame, Hull-Core and Shear Wall Structures under dynamic wind loading as per five different codal provisions viz. India (IS 875 (III):2015, America (ASCE 07-10), Australia/New Zealand (AZ/NZS 1170.2:2011), Canada (NBCC 2015) and British Standards (BS EN 1991-1-1-4:2005) for different structure heights and analyzed in ETABSv.16. All the structures gives satisfactory results in Open and Rough Exposure categories. Evaluated dynamic lateral forces are compared and conclusions are made. Hull-core structure has outperformed rest of the two structures. Results are evaluated on the basis of maximum storey displacement. 12 30 2019 1996 2000 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7910.129219 https://www.ijitee.org/portfolio-item/B7910129219/ Power Engineering Department, Rostov State Transport University (RSTU), Rostov-on-Don, Russia. Pavel Grigorievich Kolpakhchyan* Alexey Rifkatovich Shaikhiev Power Engineering Department, Rostov State Transport University (RSTU), Rostov-on-Don, Russia. Alexander Evgenievich Kochin Power Engineering Department, Rostov State Transport University (RSTU), Rostov-on-Don, Russia. Margarita Sergeevna Podbereznaya Power Engineering Department, Rostov State Transport University (RSTU), Rostov-on-Don, Russia. The article deals with solid rotor asynchronous electric machine mathematical model. It is substantiated that the use of generalized electrical machine theory for building the mathematical model is rational at the design stage to analyze the electromagnetic and electromechanical processes in an electric machine and a power converter. The mathematical model with some circuits on the rotor was considered to account for the effect of current displacement in a solid rotor. We used the field theory to determine the number of circuits. For this purpose, the calculations series of the magnetic field distribution in the active part of the electric machine when the rotor is stationary (in short circuit mode) and the stator winding are powered by different frequencies currents were carried out. The modeling of a high-speed electric generator with a solid asynchronous rotor was carried out. Its power is 100kW and its rotational speed is 100 000 rpm. The analysis of the high-speed generator parameter approximation showed that the use of three circuits in the equivalent circuit is rational to account for the effect of current displacement in a solid rotor. The mathematical model results when connecting a rotating high-speed electric generator to a voltage source are showed. The assessment of the current displacement effect in a solid rotor was examined twice: with one circuit in a rotor chain and with three circuits in it. Comparison of the electromagnetic processes modeling results showed that the use of three circuits model provides the more accurate representation of electromagnetic processes in the solid rotor asynchronous electric machine. The modeling results significantly differs during transients when using the one-circuit model. In the steady state, the stator current fundamental harmonics and the average value of electromagnetic moment are the same for both models. 12 30 2019 3629 3633 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7912.129219 https://www.ijitee.org/portfolio-item/B7912129219/ Stavropol State Pedagogical Institute,Stavropol, Russia. Natalya Nikolaevna Shihovcova* Anna Viktorovna Klimova Volgograd State Medical University, Pyatigorsk, Russia. MariyaAleksandrovna Gevlya Volgograd State Medical University, Pyatigorsk, Russia. Aleksandr Lvovich Bolhovskoy Volgograd State Medical University, Pyatigorsk, Russia. Yuriy Pavlovich Vetrov Armavir State Pedagogical University,Armavir, Russia. The article attempts to comprehend the essence and possibility of forming discourse competence among foreign and Russian students with simultaneous immersion in patriotic discourse. It is highlighted that the addition of the humanitarian series of “History of Civilizations” and “Features of Russian Civilization” to the educational process at the university creates the necessary pedagogical conditions for organizing a special linguo-ethno-cultural environment that forms active social interaction of authors within the framework of the medical and patriotic linguistic scenario.The authors of the article conducted a semantic and historical analysis of interpretations of the concept of “patriotism” that were studied from the point of view of traditional and liberal culture. The article presents the results of a socio-pedagogical study of students' perceptions of this concept. The article describes various theoretical and methodological approaches to the definition of the concepts of “discourse” and “discursive picture of the world” as well as psycholinguistic features of the method of semantic differential. Special attention in the article is paid to the typologies of discourse presented in the scientific literature. The authors of the article present the principle of genre and the principle of thematic correlation as the basis for distinguishing between types of discourse and highlight differences in language and discursive pictures of the world. The tasks of educators is to form not only purely medical discursive competence, but also to immerse the listener in “correctly” interpreted picture, saturated with verbal patterns that allow to create statements of patriotic content. 12 30 2019 1839 1844 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7914.129219 https://www.ijitee.org/portfolio-item/B7914129219/