-74813b3e17f460286df1bb7 20220701081930493 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 12 30 2019 9 2 V.I. Vernadsky Crimean Federal University, Simferopol, Russia. Mir Abdul Kayum Jallal* Diana Burkaltseva V.I. Vernadsky Crimean Federal University, Simferopol, Russia. Elena Vorobyоva V.I. Vernadsky Crimean Federal University, Simferopol, Russia. Nataliya Apatova V.I. Vernadsky Crimean Federal University, Simferopol, Russia. Oleg Blazhevich V.I. Vernadsky Crimean Federal University, Simferopol, Russia. Aleksandr Betskov Ministry of the Interior of Russian Federation, Moscow, Russia Svetlana Shcheglova V.I. Vernadsky Crimean Federal University, Simferopol, Russia. Hizri Kilyaskhanov Moscow Region State University, Mytishchi, Moscow region, Russia. Inna Mosina V.I. Vernadsky Crimean Federal University, Simferopol, Russia. This article analyzes the Crimean agriculture to determine the factors for increasing the investment attractiveness of the agricultural region. It will allow building a food policy and determining its investment component, as well as identify the main development problems and develop proposals for measures to increase the level of rural development farms. The aim of the study is to assess the state of the agro-industrial complex of the Crimea, its investment component in building food policy. To achieve this goal, the following tasks solved. ● The economic characteristics of the agricultural sectors of the Crimea given; ● Crop production and animal husbandry analyzed; ● The activities of agricultural organizations analyzed; ● The indicators characterizing the degree of development of agriculture of the Crimea were assessment; ● The problems and prospects for the development of agriculture of the Crimea during the formation of food policy identified. The methods of analysis, synthesis, and graphic method used in this work. Conclusion/Results. Crimean agriculture has tremendous potential, but it is necessary to solve several problems for it development when building food policies. These problems are associated, firstly, with the extensive development of agriculture; secondly, with irrational use of water resources; thirdly, with outdated technologies and techniques; fourthly, poor transport logistics; fifthly, with a high cost of production. To overcome these problems and the successful functioning of agriculture and industrial complex (AIC) in the Crimea, it is necessary to perform the following actions: attract investors; change the structure of agriculture; to develop livestock; to build factories for the processing of agricultural products and to convert agricultural manufacturing. Changes in the structure should be due to large differences in the agricultural potential of each individual region of the Crimea, therefore it is required to develop those areas of agriculture that correspond to the climatic, economic, cultural and historical conditions of each region. The effective use of subsidies and grant-in aid, competent investment management and the intensive formation of the latest enterprises will enable the region to become quickly one of the most successful in the Russian agricultural sector. 12 30 2019 1644 1661 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7650.129219 https://www.ijitee.org/portfolio-item/B7650129219/ Astrakhan State University, Astrakhan, Russia. Mikhail Sergeevich Topchiev* Vyacheslav Sergeevich Dryagalov Astrakhan State University, Astrakhan, Russia. Maria Mikhailovna Bicharova Caspian Institute of Sea and River Transport,Astrakhan, Russia. The formation of family values in the younger generation begins at the earliest stages of personality formation within the family and continues in the socialization process in society. The value system associated with the institution of marriage and the family is transmitted through various channels, ranging from parenting to the virtual environment. The border areas, such as the Astrakhan Region, which are characterized by interfaith marriage unions, are a special environment, in which there are own mechanisms for preserving the institution of the family and special channels for transmitting family values. One of these mechanisms is the reconstruction of the traditional wedding ceremony. Within the framework of the present research, the authors studied archival documents containing information about the traditional wedding ceremonies of the peoples living in the Astrakhan Region. There was also a content analysis of ritual traditions related to the creation of a new family (matchmaking, wedding, etc.), in the reconstruction of which the modern cultural organizations of the region were involved. The research results show that the reconstructed wedding ceremony between partners, when one of them is a representative of another nationality and religion, is a kind of portal, through which the future spouse enters a new cultural environment for him or her and begins his or her adaptation already at the initial stage of creating a family union. 12 30 2019 4255 4258 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7652.129219 https://www.ijitee.org/portfolio-item/B7652129219/ Federal State Budget Educational Institution of Higher Education " Moscow State University of Civil Engineering (National Research University) (NRU MGSU)" , Moscow, Russian Federation Kholisakhon Eshmatovna Ismailova* Yuliya Vitaliyevna Yurova Peoples’ Friendship University of Russia (Rudn University), Moscow, Russian Federation. Elena Georgievna Khvorikova Peoples’ Friendship University of Russia (Rudn University), Moscow, Russian Federation. Natalia Mikhailovna Chernenko Peoples’ Friendship University of Russia (Rudn University), Moscow, Russian Federation. FiruzKhikmatulloevich Rustamov Federal State Budget Educational Institution of Higher Education "MIREA – Russian Technological University" (RTU MIREA), Moscow, Russian Federation One of the most important tasks of innovative language education and language policy of Russia is to comprehend the Russian language as a powerful factor that forms a sense of human involvement in the socio-cultural creation, as well as the civilizational transformation of Russia and the world. The Russian language and culture preservation, development, and dissemination (both in arts, the cultural sector, as well as science and technology) is according to the authors an imperative of stability, security, and competitiveness of Russia in the globalizing world. A special role in determining strategies and tactics of teaching the Russian language in the paradigm of a new lifestyle of mankind and the global educational environment belongs to electronic, digital, and telecommunication technologies. The subject of the present study is the educational language process, organized based on computer (digital) technologies and the optimal implementation of the linguistic and didactic qualities of electronic learning tools. The objective of the study is to determine the goals, subject matter, methods, forms, and means of computer linguodidactics, aimed at substantiating the laws and determining effective ways of language learning by means of info-communication resources. The paper outlines the research methods of the innovative language education system as well as linguo-didactic abilities of computer tools in the formation of multilevel Russian-language communicative competence and its individual components in students. The authors suggest the ways and means of updating and enrichment of professional-pedagogical competence of the Russian language teachers in the use of information and communication technologies, as well as in defining the prospects in the educational interaction (electronic, network) of teachers and students, contributing to maintaining the competitiveness of domestic language education and the pedagogical community. 12 30 2019 4259 4265 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7653.129219 https://www.ijitee.org/portfolio-item/B7653129219/ Department of Financial Management, Plekhanov Russian University of Economics, Moscow, Russia. Vladimir Kolmakov* Irina Sharova Department of Entrepreneurship and Logistics, Plekhanov Russian University of Economics, Moscow, Russia. Small-batch manufacturing flexibility and agility are addressed with regard to operational possibilities to maintain financial stability and keep-up with the value creation in case of the market’s positive fluctuations: excessive demand which can be responded by output expansion. If a small-batch manufacturer faces capacity constraints, traditional patterns to invest in fixed assets can be value-consuming thus leaving many manufacturers aside from the competitive market opportunities. We argue that the sharing economy phenomenon can contribute to the problem resolution. To prove our hypothesis, we distinguish between sharing and other known outsourcing-based models of production, determine the key factors that influence decision-making and decompose a business valuation model to enable simulation modeling of value response to sharing-based practices introduction. Our finding indicate that sharing can be treated as “on-call” employment of an outsource supplier’s underutilized production capacity that leads to revenue growth followed by value factors proportional and non-proportional changes. The imitation model shows that sharing-driven output expansion provides a four-percent increase of business value in the assumed conditions; the traditional approach to support the growing demand with fixed assets expansion can be effective only in the long-term perspective given the new level of sales will be maintained without a subsequent rollback. Further increase of the model precision can be achieved by employing the survey-based estimates of a business’s individual extent of sharing perception. 12 30 2019 4037 4043 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7654.129219 https://www.ijitee.org/portfolio-item/B7654129219/ V.I. Vernadsky Crimean Federal University, Simferopol, Russia. Petr Ivanovich Ivanov* Diana Dmitrievna Burkaltseva V.I. Vernadsky Crimean Federal University, Simferopol, Russia. Robert Mosesovich Arzumanov Kerch State Marine Technological University, Kerch, Russia. Leonid Leonidovich Grischenko Management Academy of the Ministry of the Interior of Russia, Moscow, Russia. Yuriy Nikolaevich Zhirnov Management Academy of the Ministry of the Interior of Russia, Moscow, Russia Nikolay Nikolayevich Pestov Management Academy of the Ministry of the Interior of Russia, Moscow, Russia. Aleksandr Sergeevich Oleynik Management Academy of the Ministry of the Interior of Russia, Moscow, Russia. Yuriy Yurievich Uryadov Management Academy of the Ministry of the Interior of Russia, Moscow, Russia. The goal is to explore the interaction between the vector of economic security development and the vector of threat to the economic security, as well as the possibility of quantifying the result for management purposes. The fundamental possibility of the business socioeconomic system at the mesolevel to counteract the factors of threat to economic security based on the model of interaction between the vectors of development and threat has been reviewed. The linear differential equations have been transformed. Analytical expressions that describe the parameters of the model of interaction between the vectors of development and threat have been obtained. Possible combinations of parameters have been studied.The main risks of the implementation of national projects include financial risks, quality of state and municipal government, external global risks, risks of trade wars, sanctions, and differentiation of regions. The problems of public administration should include legal support, fraud, scale of corruption, speed of decision-making, terms of implementation, insufficient qualifications of civil servants, centralization of the budget process, and imperfection of control mechanisms.The problems of municipal management should include staff shortage, level of employees' qualification, outdated management system, outflow of qualified personnel/staff turnover, red tape, inconsistency of federal and regional laws, workflow, administrative barriers, and performance indicators for municipalities.Conclusion. Institutional support and measures aimed at solving problems in state and municipal administrations will allow to significantly mitigate risks in the implementation of national projects in the field of ensuring socioeconomic and national security. Risks are incomplete traceability of the movement of funds, overestimated indicators for regions that do not have the resources for this. Federal center subsidies hide the problem, but their size does not help the regions to be flexible enough, and this in turn affects efficiency. The conclusion is drawn on the appropriateness of applying the proposed model for the interaction between the vectors of development and threat in the economy. The area of further research is determined. 12 30 2019 4266 4263 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7656.129219 https://www.ijitee.org/portfolio-item/B7656129219/ Russian State Social University, Moscow, Russia. Mikhail Vasilyevich Merkulov* Rustam Juraev Navoi State Mining Institute, Republic of Uzbekistan. Elena Fedorovna Shimorina Russian State Social University, Moscow, Russia. Tatyana Vasilievna Borzova Russian State Social University, Moscow, Russia. Sergey Alexandrovich Ananyev Russian State Social University, Moscow, Russia. The article suggests one of the directions to solve the ecological problem of cryolite zone destruction during geological exploration. For the first time, the authors offer to use vortex tubes for this purpose. The technique is given and the results of experimental work on the use of a vortex tube to provide subzero temperatures of permafrost during drilling operations are considered. A scheme is proposed and mathematical modeling of the process is performed. As a result of the model study, the technological parameters ensuring the preservation of the cryolite zone are obtained. 12 30 2019 3038 3045 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7657.129219 https://www.ijitee.org/portfolio-item/B7657129219/ Department of ECM, KLEF, Green Fields, Vaddeswaram, Andhra Pradesh, India. Illuri Sreenidhi* Chatharajupalli Navya Sneha Department of ECM, KLEF, Green Fields, Vaddeswaram, Andhra Pradesh, , India. Penke Satyanarayana Department of ECM, KLEF, Green Fields, Vaddeswaram, Andhra Pradesh, India. The health issues caused due to the abnormal and accidental falls increasing every day, some falls are even leading to death or fatal injuries. Such falls can cause trauma both physically and psychologically. To overcome these circumstances fall detection has become an important topic for researchers and scientists to provide better and effective solution. A proper detection of fall can save a life of human being be it any age by giving immediate required treatment. Generally alerting the concerned authorities regarding the fall happens to be crucial in the fall detection systems. There are many existing systems that tend to this problem but they all are heavily equipped and have some drawbacks. In this proposed system Raspberry pi4 is used with OpenCV for using MOG2 machine learning algorithm to detect the fall by concentrating only on the person. And for alerting the fall this system uses internet based REST API called TWILIO. 12 30 2019 3126 3129 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7659.129219 https://www.ijitee.org/portfolio-item/B7659129219/ Junior Researcher, IDTI RAS, 127055, 18 Vadkovsky Lane, building 1a, Moscow, Russian Federation. Islam Alexandrovich Alexandrov Alexey Vyacheslavovich Kapitanov Director of Economics and Technology Management Institute, Doctor of Technical Sciences, Associate Professor, MSUT “STANKIN”, 127055, 1 Vadkovsky Lane, Moscow, Russian Federation. Alexander Nikolaevich Muranov* Junior Researcher, IDTI RAS, 127055, 18 Vadkovsky Lane, building 1a, Moscow, Russian Federation. Sergey Borisovich Egorov Associate Professor at Department of Automated Information Processing and Management Systems, Ph.D., Associate Professor, MSUT “STANKIN”, 127055, 1 Vadkovsky Lane, Moscow, Russian Federation. Aslan Adal`bievich Tatarkanov Junior Researcher, IDTI RAS, 127055, 18 Vadkovsky Lane, building 1a, Moscow, Russian Federation. The expanding range of components intended for manufacturing products of polymer composite materials is often not accompanied by comprehensive information on the characteristics and recommended technological curing modes. The relevance and practical significance of this investigation are based on the need to predict rational technological modes for curing products of polymer composite materials based on the low-viscosity epoxy binder Etal-Inject-SLM, which is in demand in the manufacture of products from polymer composite materials by cold curing. The purpose of this investigation is to determine kinetic patterns, which allow for predicting the time and degree of curing of the low-viscosity epoxy binder Etal-Inject-SLM for various isothermal curing conditions. The method of differential scanning calorimetry was used to measure the thermal effect of the curing reaction of the Etal-Inject-SLM epoxy binder at various heating rates. Based on the experimental calorimetric data and using the model-free (non-prior) Friedman method, using the specialized software Netzsch Kinetics Neo, the parameters characterizing the formal kinetic laws of the curing process were calculated. This allowed for plotting isothermal and iso-conversion thermokinetic diagrams necessary for predicting the time and degree of curing of the Etal-Inject-SLM binder at different temperatures and curing times. This results can be useful for optimizing technological processes in which the low-viscosity epoxy binder Etal-Inject-SLM is used. 12 30 2019 1168 1173 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7662.129219 https://www.ijitee.org/portfolio-item/B7662129219/ Department of Mechanical Engineering, Aditya College of Engineering &Technology, Surampalem, Kakinada, AP, India. P. Gangadhara Rao* Pandu R V School of Mechanical Sciences, IIT Bhubaneswar, Odisha, India . K. Meera Saheb Department of Mechanical Engineering, JNTUK, Kakinada, AP, India. An attempt is made to find the mechanical and tribological properties of Al6061/Gr metal matrix composites (MMC) produced using stir casting method. It is important to note that the certain components require high hardness and wear resistance to fulfil the functional requirements, the said properties of the MMCs influenced largely on the condition with which they are produced or treated. Therefore, in the present paper the composites are tested in two stages that is before T6 heat treatment and after T6 heat treatment respectively. The composites are made with Al6061 alloy as matrix and graphite with 3%, 6%, 9% and 12% by wt is considered as reinforcement. Once the composites are prepared, they are examined for their microstructural, mechanical, and tribological properties. Further, a response surface methodology (RSM) has been used to model the wear loss and coefficient of friction for both before and after T6 heat treatment of MMCs. The non-linear regression model obtained is validated both statistically and with the help of experimental test cases. The evidence of wear phenomenon has been observed with the help of Scanning Electron Microscopy (SEM). Further, fuzzy grey relational Technique has been used to determine the multi performance index for the dry sliding wear and friction phenomenon of the developed composite. 12 30 2019 1174 1183 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7664.129219 https://www.ijitee.org/portfolio-item/B7664129219/ Department of Technology Management, Vellore Institute of Technology, Vellore, India. Manoharan. M Dr Rajesh Mamilla* VIT Business School, Vellore Institute of Technology, Vellore, India. Financial markets generate vast data every trading day. There are markets for equity shares, commodities, fixed income securities and currencies etc. Further, we do have organised markets for financial ddderivatives. The exponential growth of financial markets isthe order of the modern-day. Developments in information and communication technology (ICT) helped the growth of financial markets and its operations to greater heights. One of the financial market analysis is Candlestick Technical analysis also is known as Japanese candlestick charting. It is the oldest form of financial market analysis originated in japan. This study measured the occurrence and tested the efficiency of various bullish reversal candlestick patterns on 17 stocks of India’s leading stock market benchmark index NIFTY 50 for the period of 16 years from 2000 to 2015.Data mining with backtesting methodology is used to find the top 10 candlestick patterns with respect to the frequency of occurrence during the study period. The efficiency profitability is analysed using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method , a multi-criteria decision making (MCDM) method on the backtested results for the 5-day holding period.The results of the study show that hammer (HMR), long engulfing pattern (LEB) and Rising window (RSW) are the top three ranked candlestick patterns. 12 30 2019 3140 3143 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7666.129219 https://www.ijitee.org/portfolio-item/B7666129219/ Senior teacher of the Chair Uzbek and foreign languages, Customs Institute of the State Customs Committee of the Republic of Uzbekistan, Tashkent city, Uzbekistan. S.T. Shirmatov* This article is written about the result of research on the improving the technology for the development of a culture of students’ communication based on English in the context of the activation of ethnic-cultural relations. The tasks of the research consist of fromstudy and theoretical understanding of philosophical, pedagogical, psychological and linguistic literature on the development of students' culture of communication in English in the context of intensification of ethno cultural relations;studying the experience of foreign countries (sites), improving the mechanism for developing a culture of student communication based on the creation of the “The art of communication” platform in social networks Facebook and Telegram in English;improving the culture of student communication in English based on an innovative approach to technology development (“Communication Clinic”, “On-line communication environment”, “On-line ambulance”);improving the criteria for assessing the degree of knowledge of students' communication culture in English and the development of scientific and methodological recommendations.. The article consists of from introduction, literature survey, methodology, recommendation, discussions, and conclusion. 12 30 2019 5024 5030 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7667.129219 https://www.ijitee.org/portfolio-item/B7667129219/ Research Scholar, Vellore Institute of Technology, Chennai, Tamilnadu, India. S. Gurumoorthy* L.Bhaskara Rao Associate Professor, Vellore Institute of Technology, Chennai, Tamilnadu, India. This paper studies the nonlinear deflection characteristics of a rectangular cross sectional beam with guided support conditions. In this study two different end conditions namely guided – guided and guided – simply supported have been examined. Beams made with two dissimilar materials for instance, aluminum and steel have been considered for this study. Different loading conditions namely point load and the amalgamation of uniformly distributed load and point load have been taken into account in this study. The nonlinear response of a beam under static loading condition is influenced by various parameters like sectional properties of the beam, material, loading and boundary conditions etc. A separate loading fixture was fabricated using steel to apply the load (Point load and uniformly distributed load). The loading fixture was validated by performing an experimental measurement of the deflection under various loading conditions on a simply supported beam. The corresponding theoretical displacement values were calculated using the findings in literature and compared with test results .Both the results were found matching with each other with an average variation of just 10%. Based on this validation lesson, the loading fixture was incorporated in the actual study. Displacement values from the nonlinear static analysis were predicted using Finite Element Method and correlation was made with the experimental values for the actual beam setup. Close correlation among the numerical and physical test results was achieved and the maximum error was 8%. 12 30 2019 1782 1791 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7668.129219 https://www.ijitee.org/portfolio-item/B7668129219/ Doctorate Student in Civil Engineering Department, Diponegoro University, Semarang, Indonesia Dini Intani Angga Ranti* Suripin Civil Engineering Department, Diponegoro University, Semarang, Indonesia. Suharyanto Civil Engineering Department, Diponegoro University, Semarang, Indonesia. Performance assessments of Indonesian PDAM (the Indonesian acronym for Regional Drinking Water Companies) are crucial in ensuring optimum supply systems of drinking water in the communities. Since 2010, the Indonesian Government has based the performance assessment on the procedures set by BPPSPAM (the Indonesian acronym for Supporting Agency for Development of Drinking Water Supply System) under the Ministry of Public Works and Housing. The overall assessment has consisted of 25% of the financial, 25% of the service, 35% of the operational, and 15% of the human resource aspects. In their assessment of drinking water companies’ performances, other countries have already employed the physical/infrastructure aspect in addition to these four. This research, therefore, aims at finding influential sub-aspects under the infrastructure aspect that contribute best in assessing PDAMs’ performances. Influential aspect measured with Partial Least Squares algorithm. Partial Least Squares is chosen because they are using quick, efficient and optimal regression method based on covariance. Parameter that used in assessment can be correlated using regression when the number of explanatory variables is high. From the correlation we could get the influential aspect positively influent by what sub aspect. The Partial Least Squares Structural Equation Modelling (PLS-SEM) algorithm is applied on 35 PDAMs in the regencies/municipalities in Central Java Province has separated 3 of 10 infrastructure sub-aspects to be the most influential, namely: network density, raw water resource, and pumping system. The result show that assessment of drinking water company positively influenced by network density (=0.378, p<0.05), raw water resources (=0.899, p<0.05), and also pumping system (=0.631, p<0.05). 12 30 2019 3179 3184 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7672.129219 https://www.ijitee.org/portfolio-item/B7672129219/ Teacher, Urgench State University, Xorazm, Uzbekistan. Usmanov Rasul* Eshmetov Izzat Professor, Institute of the General and Inorganic Chemistry AS of Rep Uz, Tashkent, Uzbekistan Salikhanova Dilnoza Doctor of Technical Sciences, Institute of the General and Inorganic Chemistry AS of Rep Uz, Tashkent, Uzbekistan Agzamova Feruza Junior Researcher, Institute of the General and Inorganic Chemistry AS of Rep Uz, Tashkent, Uzbekistan Eshmetov Rasul Senior Research fellow, Institute of the General and Inorganic Chemistry AS of Rep Uz, Tashkent, Uzbekistan Sharipov Avez Doctor of Pharmaceutical Sciences, Head of the Department of Tashkent Pharmaceutical Institute In this work, we studied the physicochemical properties of thermally activated defecate at 650°C and studied their neutralizing and adsorption properties in the treatment of acidic wastewater. It was found that after heat treatment at 650°C the main functional groups of the defect, i.e. CaCO3 practical has not changed. 12 30 2019 1184 1186 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7675.129219 https://www.ijitee.org/portfolio-item/B7675129219/ Associate Professor, Department of E.C.E., Vardhaman College of Engineering (Autonomous), Hyderabad, India. Joseph Anthony Prathap* D. Ruth Chelsia UG Student, Department of E.C.E., Vardhaman College of Engineering (Autonomous), Hyderabad, India. D. Shivani UG Student, Department of E.C.E., Vardhaman College of Engineering (Autonomous), Hyderabad, India. G.Nithin Kumar UG Student, Department of E.C.E., Vardhaman College of Engineering (Autonomous), Hyderabad, India. Md. Sameer UG Student, Department of E.C.E., Vardhaman College of Engineering (Autonomous), Hyderabad, India. In this work, the parallel adder is designed using the PERES reversible logic gate with the resolution of 128 bits. The reversible logic gates have a unique property of one to one mapping between the input and output vectors. The simulation design is verified using the NI lab view tool for the resolution of 24 bits. For higher resolution designs, the HDL code is developed by making use of the Xilinx Spartan FPGA device. The HDL has several advantages like parallel processing, design compatibility, cost effective, reconfigurable, versatile language and design hierarchy. The performance of the proposed method is validated by comparing the area and power consumption with two FPGA devices. 12 30 2019 2984 2988 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7679.129219 https://www.ijitee.org/portfolio-item/B7679129219/ Associate Professor, Department of M.B.A, Vardhaman College of Engineering (Autonomous), Hyderabad. Bhavani Marka* Joseph Anthony Prathap Associate Professor, Department of E.C.E., Vardhaman College of Engineering (Autonomous), Hyderabad, India. S. Lavanya Manager, Selvam Enterprises, Puducherry. This paper propses a new Outcome Based Education and its benefits in the engineering colleges. The engineering education system has evolved in the past 10 years. The sustained innovation of ideas and products has produced a huge gap between the industry-academic interactions. The industries are well in advance of the technology taught in the curriculum. This mismatch of the academics and industries has created a change in the skills set requirement of the companies which are recruiting the young engineers in their field of interest. The main goal of the OBE is to reduce the distance between the industry-academic and provide versatile training that will be suitable and in demand for the current trend in the industries. This method will project on the importance of the OBE practiced in the engineering colleges so as to satisfy the skill set demand of the industries. This method is conducted with the students from the various departments of an engineering college. The result depicts that the 70% of the students are interested in the OBE and seems to be actively involved in the OBE practices. 12 30 2019 2989 2992 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7680.129219 https://www.ijitee.org/portfolio-item/B7680129219/ Department of Information Technology, Bharati Vidyapeeth Deemed to be University College of Engineering, Pune, India. Sandip S. Thite* Devendra Singh Thakore Department of Computer Engineering Bharati Vidyapeeth Deemed to be University College of Engineering, Pune, India. Extensive research effort is going on to contribute to the Cyber Physical system (CPS). It will create a physical system capable of computation, communication and sharing information between physical devices. Physical devices become smart devices because of CPS. CPS are engineered systems that are built with sensors, microcontrollers which performs computation, communication, control, process and analysis of physical objects. CPS playing important role in smart cities, home automations and other applications. Due to resource constraints like low processing power and low storage space there is a lack of standard security mechanism which can provide adequate security in CPS. In the research paper, we proposed Key establishment mechanism which prevents CPS from cyber-attacks. The goal of this research paper are six -folds: i) to give a detailed overview of cyber physical system. ii) To study architecture of CPS. iii) To study different attacks on CPS with attack points. iv)Application areas of CPS v) security threats in CPS vi) Key establishment algorithm to prevent cyber-attacks in CPS. 12 30 2019 3589 3594 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7683.129219 https://www.ijitee.org/portfolio-item/B7683129219/ Assistant Professor, School of CSE, Vellore Institute of Technology (VIT), VIT-AP, Amaravathi. Dr.J. Harikiran* Dr.B.Srinivasa Rao Associate Professor, School of CSE, Vellore Institute of Technology, VIT-AP, Amaravathi. Dr.E. Vamsidhar Associate Professor, Department of CSE, KLEF, KL University, Vijayawada. Dr.B. Saichandana Associate Professor, Department of CSE, KLEF, KL University, Vijayawada, Ultrasound Imaging is one of the techniques used to study inside human body with images generated using high frequency sounds waves. The applications of ultrasound images include examination of human body parts such as Kidney, Liver, Heart and Ovaries. This paper mainly concentrates on ultrasound images of ovaries.Monitoring of follicle is important in human reproduction. This paper presents a method for follicle detection in ultrasound image of ovaries using Adaptive data clustering algorithms. The main requirements for any clustering algorithm are to initialize the value of K, i.e. the number of clusters. Estimating this K value is difficult task for given data. This paper presents adaptive data clustering algorithm which generates accurate segmentation results with simple operation and avoids the interactive input K (number of clusters) value for segmentation. The results represent adaptive data clustering algorithms are better than normal algorithms for clustering in ultrasound image segmentation. After segmentation, using the region properties of the image, the follicles in the ovary image are identified. The proposed algorithm is tested on sample ultrasound images of ovaries for identification of follicles and with the region properties, the ovaries are classified into categories, normal, cystic and polycystic ovary with its geometric properties. 12 30 2019 2137 2141 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7684.129219 https://www.ijitee.org/portfolio-item/B7684129219/ Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India. Priya Matta* Bhasker Pant Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India. Sachin Sharma Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India. There are a variety of buzz words linked to advanced technology and technological developments in the modern era, out of which the world is primarily geared towards the Internet of Things. It is a network of things and devices capable of communicating with each other as well as connecting to the Internet, these devices are also embedded with the capabilities of electronics and computing. IoT is a smart city once incorporated with a city. A Smart City's architecture and growth has its own challenges. In addition to the other technological and social challenges, resource management is one of the most critical obstacles in achieving effective and seamless smart city execution. Load balancing is one of asset management's major components. Our research addressed the idea of IoT and a smart society with regard to a smart city, inspiration and challenges. The work proposed focuses on balancing the load in a smart city. Our main contribution is an algorithm for balancing the load in a smart city between different resource providers. SRAA has two variants in the proposed algorithm, which are explained. The algorithm modifications are performed using two case studies. The algorithm provided is suitable for a dynamic environment. 12 30 2019 5035 5041 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7685.129219 https://www.ijitee.org/portfolio-item/B7685129219/ Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India. Shuchi Bhadula* Sachin Sharma Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India. Piyush Juyal Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India. Chitransh Kulshrestha Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India. Skin disease recognition and observing is a major challenge looked by the medical industry. Because of expanding contamination and utilization of lousy nourishment, the tally of patients experiencing skin related issues is expanding at a quicker rate. Well-being isn’t the main concern, however unfortunate skin hurts our certainty. Customary and appropriate skin checking is a significant advance towards early discovery of any destructive or starting changes in skin that may bring about skin disease. Machine learning methods can add to the improvement of capable frameworks which can order various classes of skin illnesses. To identify skin maladies, first, it is required to separate the skin and non-skin. In this paper, five diverse machine learning algorithms have been chosen and executed on skin infection data set to anticipate the exact class of skin disease. Out of a few machine learning algorithms, we have worked on Random forest, naive bayes, logistic regression, kernel SVM and CNN. A similar examination dependent on confusion matrix parameters and training accuracy has been performed and delineated utilizing graphs. It is discovered that CNN is giving best training precision for the right expectation of skin diseases among all selected. 12 30 2019 4044 4049 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7686.129219 https://www.ijitee.org/portfolio-item/B7686129219/ Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India. Komal Singh* Sachin Sharma Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India. VANET is becoming an emergent technology in Intelligent Transportation Systems. Their main purpose is to provide road safety and improve driving experience for both drivers and passengers. Other unique features of VANET include dynamic topology, short connection period, high mobility of nodes, etc However, security and privacy becomes major issues when communicating in such open wireless environment. In this paper, along with VANET characteristics, we presented security requirements and challenges that need to be kept in mind while designing a security protocol. We defined all existing security attacks and privacy issues in VANET. We categorized these security attacks into different classes based on their properties and provided the comprehensive analysis on them. 12 30 2019 3057 3064 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7687.129219 https://www.ijitee.org/portfolio-item/B7687129219/ Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India. Komal Singh* Akshay Rajput Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India. Sachin Sharma Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India. With the emergence of new concepts like smart hospitals, video surveillance cameras should be introduced in each room of the hospital for the purpose of safety and security. These surveillance cameras can also be used to provide assistance to patients and hospital staff. In particular, a real-time fall of a patient can be detected with the help of these cameras and accordingly, assistance can be provided to them. Different models have already been developed by researchers to detect a human fall using a camera. This paper proposes a vision based deep learning model to detect a human fall. Along with this model, two mathematical based models have also been proposed which uses pre-trained YOLO FCNN and Faster R-CNN architecture to detect the human fall. At the end of this paper, a comparison study has been done on these models to specify which method provides the most accurate results. 12 30 2019 4826 4832 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7688.129219 https://www.ijitee.org/portfolio-item/B7688129219/ Department of Electrical and Electronic Engineering, American International University-Bangladesh, Dhaka, Bangladesh. Ahmed Mortuza Saleque* Fahim Shahriar Chowdhury Department of Electrical and Computer Engineering, North South University, Dhaka, Bangladesh. Md. Rakin Ashraf Khan Department of Electrical and Computer Engineering, North South University, Dhaka, Bangladesh. Rashadul Kabir Department of Electrical and Computer Engineering, Presidency University, Dhaka, Bangladesh. AKM Bahalul Haque Department of Electrical and Computer Engineering, North South University, Dhaka, Bangladesh. Image classification has been a rapidly developing field over the previous decade, and the utilization of Convolutional Neural Networks (CNNs) and other deep learning techniques is developing rapidly. However, CNNs are compute-intensive. Another algorithm which was broadly utilized and keeps on being utilized is the Viola-Jones algorithm. Viola-Jones adopts an accumulation strategy. This means Viola-Jones utilizes a wide range of classifiers, each looking at a different part of the image. Every individual classifier is more fragile than the last classifier since it is taking in fewer data. At the point when the outcomes from every classifier are joined, be that as it may, they produce a solid classifier. In this paper, we would like to develop a model that will be able to detect the Bengali license plates of, using the Viola-Jones Algorithm with better precision. It can be utilized for various purposes like roadside help, road safety, parking management, etc 12 30 2019 4058 4065 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7689.129219 https://www.ijitee.org/portfolio-item/B7689129219/ Department of Public-Law Disciplines, Kyiv International University, Kyiv, Ukraine Lesia Savchenko* Olena Goncharova Department of Museology and Expertise of Historical and Cultural Values, Kyiv National University of Culture and Arts, Kyiv, Ukraine Inna Zaytseva Department of Journalism, Ukrainian Literature and Culture, University of the State Fiscal Service of Ukraine, Irpin, Kyiv region, Ukraine Lіudmyla Polishchuk Event Management and Leisure Industry Department, Kyiv National University of Culture and Art, Kyiv, Ukraine Oksana Alieko Department of Preschool Education and Social Work, Donbas State Pedagogical University, Slavyansk, Ukraine Yuliia Kakhiani Department of Preschool Education and Social Work, Donbas State Pedagogical University, Slavyansk, Ukraine The universal technology of work with the formation of functional competencies of future professionals is described. The authors proposed methodology for the formation of functional competencies of university students, which consists of Functional card and Integrative model (model for improving the quality of education: block "management of the development of competencies of specialists in the system of continuing education"; block "certification and accreditation of specialists on the basis of the Institute of Postgraduate Education as a quality management center for continuing professional education"; block “Integration of the scientific potential of the university and the practical base as a factor in improving the training of specialists”) is due to the principles of consistency and constructive integrity. For clarity, the authors presented examples of two functional maps: consolidated group and summary functional card compared to the reference. 12 30 2019 4066 4070 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7691.129219 https://www.ijitee.org/portfolio-item/B7691129219/ RUDN University, Moscow, Russia А. Glebanova* Deni Dokkaevich Saydulaev Chechen State University, Grozny, Russia Mir Abdul Kayum Jallal V.I. Vernadsky Crimean Federal University, Simferopol, Republic of Crimea Yuri Anatolyevich Savinov Russian Foreign Trade Academy, Moscow, Russian Federation. Anna Evgenievna Gorokhova V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow, Russian Federation. The main hurdle for the expansion of housing construction is the lack of financial resources at the beginning of the investment cycle, thus making it necessary to borrow and take out loans. Housing construction is extensive in developed countries due to well-established and reliable investment mechanisms, primarily through bank loans. Conversely, funds are lent in Russia at high interest rates, while weak risk management technologies and loopholes in the assessment of technical factors of investment construction projects restrict possibilities of domestic banks. The study aims to analyze international experience of drawing investment in urban housing construction. In the article, we analyzed scientific books about how to draw investment in housing construction. We have determined main features of investment models for housing construction and investment models for housing construction that are in use abroad. 12 30 2019 1833 1838 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7692.129219 https://www.ijitee.org/portfolio-item/B7692129219/ Siberian Federal University, Krasnoyarsk, Russia. Sergey Antonovich Vokhmin* Alexey Aleksandrovich Kytmanov Siberian Federal University, Krasnoyarsk, Russia Georgij Sergeevich Kurchin Siberian Federal University, Krasnoyarsk, Russia Aleksandr Konstantinovich Kirsanov Siberian Federal University, Krasnoyarsk, Russia Konstantin Anatol’evich Bovin Siberian Federal University, Krasnoyarsk, Russia Ekaterina Vasil’evna Zaitseva Siberian Federal University, Krasnoyarsk, Russia Andrey Olegovich Shigin Siberian Federal University, Krasnoyarsk, Russia Stoping, which is the initial link in the chain of the production processes of coal-face operation, significantly determines the performance of handling and mining-and-conveyor equipment, as well as losses and ore contamination. The size of the broken ore determines the cost of its mechanical crushing before lifting. Besides, the quality of breaking has a direct effect on the efficiency of ore enrichment. This influence manifests itself mainly in a significant increase in the cost of mechanical crushing and grinding of the ore, which are the most energy-consuming processes in ore dressing. The share of breaking in the direct financial costs of hard ore development, depending on the rock strength, reaches 20 – 35 %. Assuming that the main purpose of blasting operations in the mine is the destruction of the rock massif with creating the conditions for high-performance execution of the subsequent production processes of ore extraction, one should be careful about cost savings on breaking. The fact is that the proposed activities that reduce the cost of drilling and blasting may result in general deterioration of the quality of breaking. Therefore, the criterion of efficiency of any variant of blast hole drilling is to be an integrated indicator of the overall economic result of the entire production process chain, from coal-face operation to enrichment. Naturally, under certain conditions, when the effect of the results of stoping has local nature, the calculations can be made not for the entire production complex. This work analyzes the existing methods of calculating the parameters of blast hole drilling (BHD) in longhole stoping and considers the mining factors that affect the efficiency of stoping in similar geological conditions, namely, the oversize yield and the cost of coal-face operation. In practice, there are no methods for calculating the parameters of BHD that would be recognized as uniform and quite satisfying the needs of enterprises in all regions and types of mining. Depending on the local conditions, the home-developed methods proven by the practice are used, which are improved with experience. This work shows the experience in ore stoping at the Zapolyarny mine, and provides the results of industrial observations of the actual oversize yield. 12 30 2019 1871 1879 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7697.129219 https://www.ijitee.org/portfolio-item/B7697129219/ Siberian Federal University, Krasnoyarsk, Russia. Konstantin Anatol'evich Bovin* Andrey Olegovich Shigin Siberian Federal University, Krasnoyarsk, Russia. Dmitry Yuryevich Kritsky Siberian Federal University, Krasnoyarsk, Russia. Alexander Igorevich Erofeev Siberian Federal University, Krasnoyarsk, Russia. Vitaliy Aleksandrovich Yarkov Siberian Federal University, Krasnoyarsk, Russia. Evgeniy Ilyich Vicelar Siberian Federal University, Krasnoyarsk, Russia. Advance in extraction of mineral resources is one of the most prioritized problems of mining industry in Russia and other countries. Herewith, drilling and blasting operations are the most important mining stages, the relevant expenses reach up to 50% of total mining costs. Drilling tool is the most important and highly loaded element of drilling assembly determining the efficiency of blasthole drilling. Existing designs of drill bits of Russian and foreign manufacturers are nondismountable, that is, are beyond repair or reclaim, especially in field conditions. For instance, in the case of failure of one bearing support, the drill bit fails and is rejected. Despite numerous types of drilling tools, their stressed state has been studied sufficiently only for serially fabricated drill bits. Therefore, it is important to study strength properties of dismountable drilling tools which provide the maximum operation lifetime of the basic parts (body and coupling). Complete information about loads acting on the main elements of drill bits is required to improve designs of dismountable drilling tools. This work analyzes stress and strain state of dismountable drill bits with spherical cutters (RSShD) using finite element models in ANSYS software environment. Predictions are made for the cases of maximum loads exerted by highly efficient drilling rigs on the drill bit and heterogeneous distribution of these loads over elements of the drill bit. Distributions of equivalent stress fields occurring in drill bit body, bearing supports and cutters are presented. Drill bit operability in various operation modes is analyzed. 12 30 2019 3499 3504 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7698.129219 https://www.ijitee.org/portfolio-item/B7698129219/ Assistant Professor, Department of Computer Science, Bhavan’s Vivekananda College, Sainikpuri, Secunderabad, India. G Mahesh Kumar* Dr. S Ramachandram Professor, Department of CSE, Osmania University, Hyderabad, India. Dr. Jayadev Gyani Assistant Professor, Department of CS, CCIS, Majmaah University, Saudi Arabia. In the present era, world is moving very rapidly with internet for sharing of resources and services. There are many heterogeneous and complex applications to be executed within less time. The complex applications require lot of resources such as processing, storage, etc, for execution but due to the constrained resources available within a system, the applications may not execute perfectly. Grid Computing is the technology used to integrate various heterogeneous systems from different boundaries of the world to execute complex applications. This technology creates a virtual organization where huge set of systems are integrated to solve very complicated and critical problems. There are many people who are not able to set up a real organization with lot of infrastructure and other services for execution of applications. Cloud Computing is the technology which provides lot of services like software, hardware, networking and much more for less cost. This technology supports pay-as-you-go model in which the user will pay the amount only for the used services. The major problem is to trust Grid Service Providers, Grid Users, Cloud Service Providers and Cloud Users for doing the transactions, in their respective environment, as there are many systems from various domains participating in the transactions. This paper proposes a generalized Trust Model for Cloud/Grid Computing Environment (T-CGE) to establish very strong trust among the Cloud/Grid Service Providers and Cloud/Grid Users. This paper also demonstrates the reliability statistics by using Cronbach’s Alpha to show the relative consistency of data. ANOVA (Analysis of Variance) is used to show the variations among the service parameters of all service providers, and also variations among the service providers. The T-CGE trust model helps the end users to get better and consistent services from their application developers. 12 30 2019 4074 4080 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7699.129219 https://www.ijitee.org/portfolio-item/B7699129219/ M. Tech, Department of Information Technology, Indian Institute of Engineering Science and Technology, Shibpur PSN Academy, Bhadreswar, India. Partha Shankar Nayak* Forecasting commercial success of motion pictures remained challenging for producers, critics and other industry leaders in this changing world of web and online media. In this study, the author has explored a back-propagation neural network model with 23 numeric input (BPNN-N23) for classification of Bollywood movies released during the years 2014 through 2017. The proposed model classifies movies in three classes namely “HIT”, “AVERAGE” and “FLOP”. Common procedures like data filtering, data cleaning and data normalization have been followed prior to feeding those data to the neural network. After comparing the performance of the proposed model with the benchmark models and works, the results show that the said model shows performance that is comparable to the published ones with respect to the assumed Indian empirical settings. This research reveals the extent of the effects and roles of the considered factors as well as the proposed model in predicting the fate of a Bollywood movie in India. 12 30 2019 3600 3607 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7702.129219 https://www.ijitee.org/portfolio-item/B7702129219/