bluuebunny/crossref_metadata_2025 huggingface dataset:
Transformation of Public Relations in The Conditions of Technological Revolutions: Technology and Innovation
Authors:   Department of constitutional and municipal law, Kutafin Moscow State Law University, Moscow, Russian Federation., Kuteynikov Dmitry , Izhaev Osman ,   Legal department of the Moscow city election commission, Moscow, Russian Federation., Lebedev Valerian ,   Department of constitutional and municipal law, Kutafin Moscow State Law University, Moscow, Russian Federation., Zenin Sergey ,   Department of constitutional and municipal law, Kutafin Moscow State Law University, Moscow, Russian Federation; Department of theory of state and law, constitutional and administrative law of South-Ural state University (National Research University), Chelyabinsk, Russian Federation.
Published: August 2019

The impact of technologies, fundamental to industrial revolutions, on the development of legal approaches to the regulation of social relations changing during their widespread use, is considered in this article. It is shown that the well-known technological revolutions did not pass without leaving a trace and led to fundamental changes in public life. The economic and social factors that influenced the regulation of social relations are analyzed; the legal consequences of three technological revolutions are revealed. Theoretical and legal aspects of the formation of individual branches of legislation are studied. The thesis that the interaction between a person and the technologies (technical means) of the three industrial revolutions was limited to the unilateral mechanical use of these means according to the needs of society is proposed and substantiated. The current state of technological development suggests that the world has entered a new era. The impact on the social relations of artificial intelligence, robots, the Internet of things, advanced materials, additive production and multidimensional printing, bio- and neurotechnologies, virtual and augmented reality will only increase. These technologies will lead to new, different from all that was before, ways of human interaction with technical means. Three prospective ways of human interaction with the technologies of the fourth industrial revolution have been analyzed by the authors: coexistence (a technical tool is able to fully communicate with a person), relationships (a technical tool plays the role of an assistant in certain areas) and mergers (digital and mechanical elements are fully integrated into a biological subject). Some of the risks to society, possible with these methods of interaction, are described. The need to develop regulatory frameworks able to create conditions for the successful introduction of advanced technologies and minimize their negative consequences is justified.
Operation and Control of a DC Micro-grid with Wind Power Generation and Energy Storage
Authors:   Department of Electrical Engineering, ADCET, Ashta, Sangli, Maharashtra, India, Bhadke Dhanshri B. , Patil Manoj D. ,   Department of Electrical Engineering, ADCET, Ashta, Sangli, Maharashtra, India
Published: August 2019

This article researched controlling and operating a dc micro grid that can be operated in connected grid and island modes. Dc micro grid comprises of a wind turbine, dc loads, grid-connected converter arrangement and a battery energy storage scheme. When the scheme is linked to the grid, the active energy is balanced during standard operation to guarantee a continuous dc voltage. In grid ac failure, automatic power balancing is attained by combining the battery energy storage scheme as well as the grid converter. To demonstrate that the system can function under island circumstances, a synchronized battery scheme approach, wind turbine and load managing, including load shedding, is suggested. MATLAB simulations are provided to demonstrate the powerful operational presentation and confirm the predicted control system under different working situations, such as varying in load, grid ac fault, variable generation and islanding.
Determination of Economically Sound Criteria to Assess the Effectiveness of Control Processes
Authors:   FGIBU VO “Financial University under the Government of the Russian Federation”, Moscow, Russia., Bodyako Anna , Bulyga Roman Petrovich ,   FGIBU VO “Financial University under the Government of the Russian Federation”, Moscow, Russia., Ponomareva S.V. ,   Saint-Petersburg state University of Economics, Saint-Petersburg, Russia., Rogulenko Tatyana ,   State University of management, Moscow, Russia
Published: August 2019

The article considers the issues related to the identification and establishing of economically sound criteria to assess the effectiveness of control processes in the modern context, as well as defines the characteristics of the new assessment format to address its main target, which is providing information support of development and making managerial decisions. The authors determine that the main problem, when assessing the effectiveness of control processes lies in the fact that many of the developments offered by specialists are based on outdated principles, while others put forward proposals, which cannot be used in practice. The authors offer their own vision of the content and functioning specifics of the intracorporate control services, as well as offer a flowchart reflecting control actions of specialists of institutional and intracorporate control services of companies with public ownership. The regulation on the quality assessment system of intracorporate control of the corporate accounting and control system is proposed, as well as the managerial actions in relation to its organization are defined. A new concept of intracorporate control in companies with public ownership, developed by the authors, focused on risks, will prevent misuse of budget allocations. Implementation of the proposals will allow developing science-grounded intracorporate control regulations, which are aimed at solving specific problems of corporate management.
The Use of Internet Technologies in Teaching Bachelors-Economists Mathematics as a Factor of Students’ Professional Growth
Authors:   Academy of Social Management, Moscow, Russia., Sanina Ye.I. , Artyukhina M.S. ,   Lobachevsky State University of Nizhni Novgorod, Arzamas, Russia., Dendeberya N.G. ,   Armavir State Pedagogical University, Armavir, Russia., Savadova A.A. ,   Armavir State Pedagogical University, Armavir, Russia., Nasikan I.V. ,   Armavir State Pedagogical University, Armavir, Russia.
Published: August 2019

Abstract. Personal professional growth enhances the human psyche, introduces special meaning into human life activity. Mathematical education, as one of the crucial aspects in training a specialist, should reflect the nature of future professional activity and contribute to students’ professional growth. To a large extent, it can be related to mathematical training of economics students in which information and communication technologies, due to the uniqueness of the interaction of educational mathematics content and economic reality, can serve as an important means of expanding the professional orientation of education. Methods. One of the modern Internet-based interactive educational technologies which enable students’ professional growth is an educational webquest. Educational mathematical webquests contribute to the professional self-development and self-organisation of economics students. The authors have developed educational mathematics webquests for bachelors of economics. Results. The diagnostics of educational findings has proven the increase of the cognitive motivation to teaching mathematics and value attitude to the knowledge bound with professional interests; high level of fundamental and applied knowledge of mathematics necessary for the future professional activity; considerable improvement of research skills; intensification of creativity and reflection; capability to perform self-analysis and self-assessment of one’s personal activity. Conclusion. Serving as a key factor in training a perspective specialist, mathematical education should reflect the nature of future professional activity and stimulate a student’s professional growth. Educational mathematical webquests promote professional self-development of economics students.
Spatial Development of Rural Territories in Russian Regions: Growth Areas or Desolation Zones?
Authors:   Perm Branch of the Institute of Economics, UB RAS, Perm, Russian Federation., Urasova Anna Alexandrowna , Balandin Dmitry Arkadevich ,   Perm Branch of the Institute of Economics, UB RAS, Perm, Russian Federation., Pytkin Alexander Nikolaevich ,   Perm Branch of the Institute of Economics, UB RAS, Perm, Russian Federation., Kovaleva Elena Borisovna ,   Perm Branch of the Institute of Economics, UB RAS, Perm, Russian Federation., Zagoruiko Igor Yurevich ,   Perm Military Institute of the National Guard Troops of the Russian Federation, Perm, Russian Federation; Perm State University, Perm, Russian Federation.
Published: August 2019

Now the Russian economy has an urgent need for the accelerated spatial development of agricultural industries and rural infrastructure. Solving tasks on agricultural management puts forward the problem of determining the reserves of the agricultural production growth in each Russian region as the most urgent one. In this regard, the authors have been aimed at forming a methodology for assessing the development of rural areas and at assessing the modern development of rural areas. The authors have substantiated the selection of the criteria the methodology is based on, and have also argued the results of applying it. The study has been based on the data calculated by using the official statistical information. The study has made it possible to identify growth areas and desolation zones in the development of rural territories in the Perm Territory. Based on this, the authors have offered the targeted approach to the development of these territories. The obtained results are the progressive method for analyzing the development of a rural territory, and can also be used as spatial development management instruments that allow assessing the efficiency of certain activities. The study results are valuable for the science and practice. They can be used when studying and monitoring agricultural industries, sustainable development of rural areas of regions, determining needs in the resources required for the implementation of sectoral and integrated projects and spatial development programs.
Mapping of Resources and Potential Development for Food-Secure Region in East Seram, Maluku Province, Indonesia
Authors:   Faculty of Animal Science, Universitas Gadjah Mada, Yogyakarta, Indonesia., Pertiwiningrum Ambar , Setianto Agung ,   Faculty of Engineering, Universitas Gadjah Mada, Yogyakarta, Indonesia., Supriadi  ,   Ministry of Village, Development of Disadvantaged Regions, and Transmigration, Indonesia., Wuri Margaretha Arnita ,   Center for Development of Sustainable Regions, Universitas Gadjah Mada, Indonesia., Prabowo Teguh Ari ,   Faculty of Animal Science, Institut Pertanian Bogor, Indonesia.
Published: August 2019

In this study, we developed agro sector mapping of current condition, problems, threats, potentials, and strategic policies in rural area in East Seram, Maluku Province especially in Bula District. The aims of the agro mapping was to make food security planning in East Seram. The mapping process was conducted through literature study, observations, and data collecting through focus group discussion. The data were analyzed with descriptive analysis. We also collected the data based on 9 indicators of food security before and after 5 years of intervention in livestock program and capacity building. The data were calculated for their indicators and composite values, then analyzed to define food security improvement. Based on the data, livestock were still raised traditionally on pastures. To enhance food-security, the resilience should be built through: (1) the improvement of land productivity, including infrastructure, facilities for intensive livestock systems, and optimization of dry land’s potential; (2) water management; and (3) capacity building for communities. After the intervention, the food security level of Bula District change from priority 2 (severely vulnerable) to priority 4 (moderately vulnerable). It means building human centered community based and local resources management become important in food security strategic in rural area especially in East Seram, Maluku, Indonesia.
Implementation of EEG signals and P-300 Component to estimate Mild Cognitive Impairment (MCI)
Authors:   Department of ECE, School of Engineering & Technology, Poornima University, Jaipur, India., Puranik Parag , Agrahari Dr. Santosh ,   Department of ECE, School of Engineering& Technology, Poornima University, Jaipur, India., Panat Dr. Ashish ,   Department of Electronics and Communication, MIT University, Pune, India.
Published: August 2019

Aim: The aim is to estimate the parameters of MCI by evaluating the EEG and P-300 component of subjects. The controlled healthy and MCI patients selected for this analysis. The aim is to reveal the worsening cognition in the patients and diagnose the disease at an early stage. Method: EEG recording & P-300 measurement of 30 subjects is performed. Considering all the possibilities and artefacts 1024-point Quantitative EEG selected to perform the analysis. Results: The parameters of EEG and P-300 analysis revealed the difference between Controlled healthy and MCI group patients. Power, relative power, symmetry, coherence, phase cross spectrum, correlation were differentiated using QEEG analysis. Conclusion: The study on MCI patients discovered that the mass posterior sluggish rhythm of frequency bands dropped the alpha and beta behavior whereas the occipital movement of the alpha and beta band in the usual aging is increasing. The P-300 component used to classify MCI and Controlled healthy people.
Numerical Computing of Frequencies for Rectangular and Square Plates with Transcendental Thickness Variation
Authors:   Department of Mathematics, Babasaheb Bhimrao Ambedkar University, Lucknow, India., Singh Neetu , Saxsena Vipin ,   Department of Computer Science, Babasaheb Bhimrao Ambedkar University, Lucknow, India.
Published: August 2019

The frequencies of the thin plate play an important role for the design of the engineering machines, naval structure, etc. Tremendous amount of the literature on the study of vibrations of rectangular and square plate are available with various kinds of the thickness variations. From the study it is observed that transcendental thickness variation has not been studied by the researchers which satisfy the boundary conditions. Therefore, the present work is the attempt in this direction. A well-known Rayleigh-Ritz method has been used for computation of the first three frequencies alongwith mode shapes and by varying the boundary conditions at the side of the plate. The convergence of the computed results has been presented through table and comparison has also been made with the existing result.
Design of a Solar Mpp Tracker with Modified Perturb and Observe Method using Arduino
Authors:   Department of Electrical Engineering, Tripura Institute of Technology, Narsingarh, Agartala-799009, West Tripura, India., Debbarma Sajal , Debbarma Shivaji ,   Department of Electrical Engineering, Tripura Institute of Technology, Narsingarh, Agartala-799009, West Tripura, India., Saha Saptadip ,   Department of Electrical Engineering, National Institute of Technology Agartala, Jirania, Agartala-799046, West Tripura, India.
Published: August 2019

Design of a fast, improved and reliable solar Maximum Power Point Tracker (MPPT) is described in this work. The working algorithm was motivated from the existing Perturb and Observe method for tracking MPP of Solar Photovoltaic (SPV). The tracker was developed using an Arduino Uno development kit which is run by ATMega 328P microcontroller and clocked at 16MHz. Due to high frequency operation the model was fast and accurate and consumes very low power and can be driven by 5V only. Proteus 8.3 simulator was used and further a hardware model was designed in order to realize the operation. MPP was tracked very quickly and accurately in accordance with the change in solar irradiance. The tracker offered an efficiency of ranging from 96.40% -99.25% at different irradiance level.
Effect of Influence of Metakaolin and Shredded Plastic Waste on Strength and Durability Properties of M20 Grade Concrete
Authors:   Research Scholar, Department of Civil Engineering, Karpagam Academy of Higher Education, Coimbatore, India., Sivaraj M. , Sundararajan Dr. R. ,   Supervisor, Department of Civil Engineering, Karpagam Academy of Higher Education, Coimbatore, India., Karthik Dr. V. ,   Professor, SRK Institute of Technology, Vijayawada, Andrapradesh, India.
Published: August 2019

The production of cement liberates the equal amount of CO2 into the environment. This will results in various social and environmental problems. There is a need in determining the new cement materials from waste or industrial waste. Second, the extraction of natural aggregates from natural resources poses other environmental problems. So in this article, the experimental programme is conducted to determine the strength and durability performance of cement partially replaced with Metakaolin (MK) (0%, 2.5%, 5%, 7.5% and 10%) and coarse aggregate substituted by shredded plastic waste (SPW) at 0.5% by weight. The main objective of this article was limited to analyzing the strength parameters along with the durability parameters.
Liquefaction Vulnerability Analysis as a Coastal Spatial Planning Concept in Pariaman City – Indonesia
Authors:   received his PhD degree from Bogor Agricultural University, Indonesia,, Hermon Dedi , Erianjoni  ,   received his PhD degree from Padang State University, Indonesia,, Dewata Indang ,   received his PhD degree from Indonesia University, Indonesia,, Putra Aprizon ,   received his M.Sc degree from Andalas University, Indonesia,, Oktorie Olivia ,   received his M.Ed degree from Padang State University, Indonesia,
Published: August 2019

Knowledge about the liquefaction vulnerability in Pariaman city which is prone to an earthquake is very much needed in disaster mitigation based spatial planning. This research was conducted by analyzing the potential of liquefaction vulnerability based on the Conus penetration to produce Microzonation of the susceptibility of subsidence due to liquefaction at 4 locations in Pariaman city, i.e Marunggi village, Taluak village, Pauh Timur village and Padang Birik-Birik village. Based on the results of the analysis using this method, the critical conditions of liquefaction found in the intermediate sandy soil to solid. The fine sand layer which has the potential for liquefaction is in sand units formed from coastal deposits, coastal ridges and riverbanks. This liquefaction vulnerability zones analysis is limited to a depth of 6.00 m due to the limitations of the equipment used. The results of the analysis show that the fine sand layer which has the potential for liquefaction occurs at a depth of> 1.00-6.00 m with the division of zones, i.e 1) High liquefaction in the sandy soil layer which has a critical acceleration (a) <0.10 g with shallow groundwater surface; 2) Intermediate liquefaction in the sandy soil layer which has a critical acceleration (a) between 0.10-0.20 g with shallow groundwater surface; and 3) Low and very low liquefaction in the sandy soil layer which has a critical acceleration (a) between 0.20-0.30 g with an average groundwater deep enough surface.
Storm water Management of Mumbai city by using Pervious Concrete on GIS based platform
Authors:   Research Scholar, Civil and Environmental engineering department, V.J.T.I College, Mumbai, India., Sansare Darshan Anil , Mhaske Sumedh Yamaji ,   Associate Professor, Civil and Environmental engineering department, V.J.T.I College, Mumbai, India.
Published: August 2019

Flooding is major cause in urban area particularly in Mumbai City which is due to haphazard alterations in land use–land cover (LULC), escalation in the amount of precipitation by virtue of climate change and related impacts due other hydrological changes augmented with deterioration of life and properties. Due to urbanization most of the city has gotten embedded in concrete and by the virtue of which the rainfall gets converted to runoff. The present SWD system in the city is more than 150 years old and 186 outfall also not in use in high tide associated with heavy rainfall situation. In relevance to the implications as stated above, Greater Mumbai is facing reckless Water Logging Problems in many low lying areas from the past 20 years. So, to eradicate and abolish this problem permeable concrete is a perfect solution which should be eco friendly, economical and universally accepted. In this study characteristic of permeable concrete with its type, mix design and application is suggested data base is created to get comparative idea for the same. By clicking on the respective flood spots one can avail the information pertinent to that flood spot location in terms of pervious type suitable to that location. Geographic Information System (GIS) proves to be a can prove to be a very effective tool for integrating & managing various types of information related to this Storm water Management.
Spatio-Temporal Analysis of Environmental Noise in Institutional Area
Authors:   Faculty of Ocean Engineering Technology and Informatics, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia, Abdullah Samsuri ,   Air Quality and Environment Research Group, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia., Akhtari Muhd Irfan ,   Faculty of Ocean Engineering Technology and Informatics, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia, Ismail Marzuki ,   Faculty of Science and Marine Environment, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia; Air Quality and Environment Research Group, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia., Ahmed Ali Najah ,   Faculty of Engineering, Universiti Tenaga Nasional, 43650 Bangi, Selangor, Malaysia; Institute of Engineering Infrastructures, Universiti Tenaga Nasional, 43650 Bangi, Selangor, Malaysia;, Wan Mansor Wan Nurdiyana ,   Faculty of Ocean Engineering Technology and Informatics, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia; Air Quality and Environment Research Group, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia, Ridwan Zulkifli Mohammad Fakhratul ,   Faculty of Ocean Engineering Technology and Informatics, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia;
Published: August 2019

Environmental noise is identified as unwanted sound arises mainly from motor vehicles. The increasing number of motor vehicles in institutional area would negatively affect the environment and students learning process. This study assesses the variability of environmental noise in institutional area in terms of temporal and spatial analysis. Noise level was taken in Universiti Malaysia Terengganu (UMT) campus by using sound level meter at varying time intervals of 0700hrs - 1000hrs (morning), 1100hrs – 1400hrs (afternoon) and 1500hrs – 1800hrs (evening) and noise mapping was constructed by using Surfer14® and SketchUp® software. Lmax (78.8 dBA, weekday (WD) and 84.4 dBA, weekend (WK)), LAeq (75.0 dBA, WD and 75.5 dBA, WK), Lmin (43.9 dBA, WD and 41.3 dBA, WK), L10 (66.8 dBA, WD and 58.5 dBA, WK) and L90 (47.5 dBA, WD and 44.4 dBA, WK) were evaluated. Motor vehicles from Class M (cars and buses) shows strong correlation with noise level (Spearman’s correlation coefficient, r=0.74, p<0.01, WD) while Class L (motorcycle) shows strong correlation (Spearman’s correlation coefficient r=0.59, p<0.01, WK). The finding from this study is important for UMT management team to control noise pollution in campus in line to reduce noise exposure towards university students and staff.
Third Party Evaluation and Remidial Measuers for Rural Water Supply Scheme at Vadoli-Nileshwar
Authors:   Civil engineering department, Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune, India., M. Patil Digvijay , Gidde Milind R. ,   Civil engineering department, Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune, India., Patil P.D. ,   Civil engineering department, Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune, India.
Published: August 2019

Government of Maharashtra empaneled Technology and Development Cell (TDSC) as third-party evaluator in all district to improve Rural Water Supply Schemes (RWSS) for improving sustainability, efficiency and equitability of these schemes. The objective of the paper is to investigate and design of rural water supply scheme. The investigation was carried out during 2018-19 in Vadoli-Nileshwar village. Investigation was completed in three stages out of that first stage is to collect document related to scheme like detailed project report, second stage is to verify all documents in scheme and third stage is to verify physical assets of scheme like source well, raising main, storage reservoir and distribution network. Investigation was notified that Vadoli –Nileshwar water supply scheme is completed in 1981, scheme is designed for 2900 peoples with daily demand 40 lit/person/day. But due to increasing population, increasing daily demand and newly developed area water supply is insufficient. For solving this problem, scheme is redesigned in which raising main, storage reservoir, pumping machinery and distribution network is designed for 3700 peoples with daily demand of 115lit/person/day and 12 supplying hours. Scheme was designed by ‘Jaltantra’ software. It is expected that, if this revised design is considered, the problem of water availability to consumers will be solved. Spacing. Manuscript Details must be in Font Size 8, in the Bottom, First Page, and Left Side with Single Line Spacing. References must be in Font Size 8, Hanging 0.25 with single line spacing. Author Profile must be in Font Size 8, with single line spacing. Fore more details, please download TEMPLATE HELP FILE from the website.
Supervised Word Sense Disambiguation using Decision Tree
Authors:   Assitant Professor, Computer Science and Engineering Department, Shri Ramdeobaba College of Engineering and Management, Nagpur, India, Rawat Sunita , Kalambe Kavita ,   Assistant Professor, Computer Science and Engineering Department, Shri Ramdeobaba College of Engineering and Management, Nagpur, India., Kawade Gaurav ,   Assistant Professor, Computer Science and Engineering Department, Shri Ramdeobaba College of Engineering and Management, Nagpur, India., Korde Nilesh ,   Assistant Professor, Computer Science and Engineering Department, Shri Ramdeobaba College of Engineering and Management, Nagpur, India.
Published: August 2019

Semantic processing is an essential task in natural language processing. In semantic processing it has observed that some words have more than one meaning. Multiple meanings of a word create serious problems to linguists which produces ambiguity in sentence. Word Sense Disambiguation is one of the main challenges in natural language processing which is present in almost all the languages. By existing knowledge and experience human can certainly disambiguate the words but for machine it is difficult task. In the proposed work, we are resolving the ambiguity of all open class word in English sentence and translating it to the Hindi sentence. We have used decision tree as a classifier. For improving the speed of translation we have used the concept of translation memory.
Prospects for the Development of Online Trade in the Russian Federation in the Context of Globalization and the Information Society Establishment
Authors:   Plekhanov Russian University of Economics, Moscow, Russia., Ramazanov Ibragim Agaevich , Ramazanov Seifullakh Agaevich ,   Nizhny Novgorod State Technical University named after R.E. Alekseev, Nizhny Novgorod, Russia., Panasenko Svetlana Viktorovna ,   Plekhanov Russian University of Economics, Moscow, Russia., Mayorova Elena Aleksandrovna ,   Plekhanov Russian University of Economics, Moscow, Russia., Nikishin Alexander Fedorovich ,   Plekhanov Russian University of Economics, Moscow, Russia.
Published: August 2019

The modern trade exists in the context of globalization and the information society establishment. The authors review the development of online trade in the Russian Federation and put the following research questions: how is the information and communication environment established in Russia? is there a link between the economic, information, communication and trade globalization, on the one hand, and the development of digital technologies in the trade sector, on the other hand? what are the prospects for the development of Russian digital trade in the global space? The results have indicated that the use of personal computers, local computing networks, and landline telephone networks in the Russian Federation has reached a level where a further increase in their number is not accompanied by an adequate increase in digital competencies. As a result of the study, the authors have found a relationship between the public activity in online trade and the development of the information society. They have also identified the factors that contribute to positive changes in the structure of Internet use by the population of the Russian Federation to order goods and services; factors hindering the development of online trade; and factors that do not influence the development of online trade. Regardless of the weak and deteriorating legal environment and the low efficiency of investment in innovation, the information society establishment and the development of online trade and the digital economy in the Russian Federation have positive dynamics supported by the activity of global players in the online space.
The Economic Security of Companies Within the Petroleum Machine-Building Sector in A Climate of Changing Market Conditions: Modeling Risks
Authors:   Moscow Automobile and Road Construction State Technical University (MADI), Leningradsky Avenue, 64, Moscow, 125319, Russian Federation, Vrazhnova Marina Nikolaevna , Panteleeva Tatyana Alexandrovna ,   Russian University of Cooperation, Vera Voloshinoy, Str., 12/30, Moscow Region, Mytishchi, 141014, Russian Federation, Vysotskaya Nataliya Vladimirovna ,   National Research University Higher School of Economics (HSE), 20 Myasnitskaya Str., Moscow, 101000, Russian Federation; Russian University of transport (RUT (MIIT), Obraztsova str, d. 9, p. 9, Moscow, 127994, Russian Federation, Chekadanova Maria Vladimirovna ,   CEO JSC "Management Company of special economic zone “Istok”, Vokzalnaya, Str., 2, Moscow Region, Fryazino, 141190, Russian Federation, Reznik Elena Anatolievna ,   Russian Presidential Academy of National Economy and Public Administration, 82 Vernadsky Avenue, Moscow, 119571, Russian Federation, Freydina Irina Aleksandrovna ,   Russian Presidential Academy of National Economy and Public Administration, 82 Vernadsky Avenue, Moscow, 119571, Russian Federation
Published: August 2019

This paper explores the essence and establishes the key characteristics of companies’ economic security in a climate of changing market conditions. Based on a summarization of research into the market conditions, the authors performed modeling of risk from changes in conditions in Russia’s petroleum machine-building market using the paired comparison method.
Methodology for Assessing the Financial and Economic Security of the Agro-Industrial Complex
Authors:   Ministry of the Interior of Russian Federation, Moscow, Russia., Reutov Viktor , Burkaltseva Diana ,   Ministry of the Interior of Russian Federation, Moscow, Russia., Vorobyоva Elena ,   Ministry of the Interior of Russian Federation, Moscow, Russia., Blazhevich Oleg ,   Ministry of the Interior of Russian Federation, Moscow, Russia., Betskov Aleksandr ,   Ministry of the Interior of Russian Federation, Moscow, Russia., Hizri Kilyaskhanov ,   Ministry of the Interior of Russian Federation, Moscow, Russia., Bugaeva Tatyana ,   Perm Military Institute of the National Guard Troops of the Russian Federation, Perm, Russian Federation; Perm State University, Perm, Russian Federation., Abibullayev Memet ,   V.I. Vernadsky Crimean Federal University, Simferopol, Republic of Crimea, Russia., Karpova Anastasia ,   V.I. Vernadsky Crimean Federal University, Simferopol, Republic of Crimea, Russia.
Published: August 2019

Enough attention has been paid to studying the threats that cause the global food shortage. At the same time at the regional level, a number of scientists have worked at researching and solving the relevant issues. However, the issue of optimizing indicators and proposals for developing the methodology for assessing the financial and economic security of the agro-industrial complex has not been raised. In this respect, the relevance of this methodology is particularly enhanced under the conditions when the quality of management at the regional level requires efficient decisions. The purpose of the article is to consider monitoring of the financial and economic security of the agro-industrial complex through the method of its assessment using the example of the Republic of Crimea.
Synchronization of Stochastic Modeling with Square Fuzzy Transition Probability Relational Matrix
Authors:   Mathematics Department, KCG College of Technology, Karapakkam, Chennai., Geethalakshmi M. , Tamilselvi S. ,   Physics Department, KCG College of Technology, Karapakkam, Chennai.
Published: August 2019

There are number of fields like agriculture, industry, insurance, tourism and others get affected directly or indirectly by a most common phenomenon known as the Rainfall. Till now we are not able to predict rainfall and it is one of the unsolved problems. This paper aims to synchronize stochastic modeling and square fuzzy transition probability relational matrix and it is obtained from the lexical terms along with the help of fuzzy value which in turn calculated form the lexical value. Fuzzy matrices are necessary in modeling uncertain situations in various fields. Here the lexical values are specially assigned heptagonal fuzzy numbers which in turn converted into fuzzy value to measure relation mappings. Along with this, synchronization is done for stochastic models with transition probability matrix and also with square fuzzy transition probability relation matrix to get a clear picture of the result. In this work, the changes in annual rainfall of Tamil Nadu depending on markov chain models are monitored. Statistical technique like Markov chain is applied at metrological stations in order to predict short term precipitation. The annual rainfall from 1901 to 2000 is derived and the frequency distribution table is formed. The class intervals are denoted as states and the transition probability matrix is formed due to the variations in annual rainfall. The uniform random states are formed by generating random number. The available stochastic climate models presently be adapted to form new climatic conditions if the forthcoming conditions is identified with necessary accuracy. Finally, prediction of rainfall based on two categories such as climatic factors and through states is analyzed in this study.
The Features of the Career Strategies of Technical University Graduates
Authors:   Industrial University of Tyumen, Tyumen, Volodarskogo St., 38, 625000, Russia, Kalyanova Ludmila Mikhailovna
Published: August 2019

The article discusses the features of the career strategies of technical University graduates, as well as the content of a career as a phenomenon, by highlighting its structure. The article presents the results of the study of the graduates’ career strategies of the direction 21.03.01 “Petroleum Engineering” of the Surgut Institute of oil and gas (a branch of the Industrial University of Tyumen in Surgut). The results of the career orientations and the career planning features are analyzed on the basis of the study, as well as a comparative analysis of the career strategies of each group of the graduates is given.
Enhancing the Economic Mechanism of Poultry Subcomplex of Regional Agro-industrial Complex in the Conditions of Import Substitution
Authors:   Michurinsk State Agrarian University, Internatsionalnaya Street, 101, Michurinsk, Russia, Nikitin A.V. , Smykov R.A. ,   Michurinsk State Agrarian University, Internatsionalnaya Street, 101, Michurinsk, Russia
Published: August 2019

With international sanctions and the reciprocal food import embargo in place, ensuring food supply by procurement of domestic Russian products can be addressed through the implementation of the import substitution strategy. The Tambov region, with its favourable conditions for many types of agricultural production, plays an important role in ensuring food security. Amid the recent considerable decline in the average per capita nutrition levels, Russia has significant potential for food demand growth provided an increase in real income levels and price stabilisation. This should stimulate growth in production and improved efficiency of the agro-industrial complex. The development of Russian poultry farming can play an important role in it.
SBC-Based Cataract Detection System using Deep Convolutional Neural Network with Transfer Learning Algorithm
Authors:   Computer Engineering Department, College of Engineering, University of Perpetual Help System Laguna, City of Biñan, Laguna, 4024 Philippines, Karamihan Kenneth C. , Agustino Ivan Dave F. ,   Computer Engineering Department, College of Engineering, University of Perpetual Help System Laguna, City of Biñan, Laguna, 4024 Philippines, Bionesta Ronnick Bien B. ,   Computer Engineering Department, College of Engineering, University of Perpetual Help System Laguna, City of Biñan, Laguna, 4024 Philippines., Tuason Ferangelo C. ,   Computer Engineering Department, College of Engineering, University of Perpetual Help System Laguna, City of Biñan, Laguna, 4024 Philippines., Arellano Steven Valentino E. ,   Computer Engineering Department, College of Engineering, University of Perpetual Help System Laguna, City of Biñan, Laguna, 4024 Philippines., Esguerra Phillip Amir M. ,   Electronics Engineering Department, College of Engineering, University of Perpetual Help System Laguna, City of Biñan, Laguna, 4024 Philippines.
Published: August 2019

This Raspberry Pi Single Board Computer-Based Cataract Detection System using Deep Convolutional Neural Network through GoogLeNet Transfer Learning and MATLAB digital image processing paradigm based on Lens Opacities Classification System III with Python application, which would capture the image of the eyes of cataract patients to detect the type of cataract without using dilating drops. Additionally, the system could also determine the severity, grade, color or area, and hardness of cataract. It would also display, save, search and print the partial diagnosis that can be done to the patients. Descriptive quantitative research, Waterfall System Development Life Cycle and Evolutionary Prototyping Models was used as the methodologies of this study. Cataract patients and ophthalmologists of one of the eye clinics in City of Biñan, Laguna, as well as engineers and information technology professionals tested the system and also served as respondents to the conducted survey. Obtained results indicated that the detection of cataract and its characteristics using the system were accurate and reliable, which has a significant difference from the current eye examination for cataract. Generally, this would be a modern cataract detection system for all Cataract patients.
A Conceptual Model for Effectiveness of Knowledge Management Systems
Authors:   School of Computer Science and Engineering,, VIT University, Chennai, India., Rahman .A Abdul , Selwyn Justus ,   School of Computer Science and Engineering,, VIT University, Chennai, India.
Published: August 2019

Knowledge Management System (KMS) is a collective process of organizational knowledge from capturing to dissemination. The three fourth of world’s corporate market value resides today in assets such as intellectual property, customer data, financial records, strategies and trade secrets. These assets are all knowledge based. KMS becomes inexorable to achieve competitive advantages in this present information and communication technology epoch. However Lack of effectiveness in knowledge Management System is turmoil to any organization due to its integrated domain. But an effective KMS can helps to organization to achieve tremendous benefits such as competitive advantages, innovation, leadership, social values, increased customer satisfactions, quality in product, financial credibility and people values, So knowledge management system needs to consider significant views such as technical, functional, people and organization image for effectiveness. Almost all the research works related to quality model for KMS are limited in views. This paper proposes an effectiveness framework which includes significant quality dimensions and variables to measure each. This paper also includes empirical validation using data collected from three sectors: nuclear power production, Electrical equipment manufacturing and software industry for suitability analysis through statistical method. We considered primary variable from each identified dimension to analyze the suitability of KMS with 25 knowledge workers in each sector through five parameters: Completeness of product, Customization of process, Ontology standard, Applicability of KMS content, and Decision making ability.
Design of an Optimized Multicast Routing Algorithm for Internet of Things
Authors:   Department CSE, S R Engineering College, Warangal, India., Kothandaraman D. , Sheshikala M. ,   Department CSE, S R Engineering College, Warangal, India., Naik K. Seena ,   Department CSE, S R Engineering College, Warangal, India., Chanti Y. ,   Department CSE, S R Engineering College, Warangal, India., Vijaykumar B. ,   Department CSE, S R Engineering College, Warangal, India.
Published: August 2019

Internet of Things (IoT) is a fast- growing technology in on-going research field that includes wireless sensor networks, cloud computing, big data analytics, ubiquitous computing, distributed decentralized systems, pervasive computing, embedded systems, mobile computing, machine learning etc. The above mentioned fields are mainly connected with IoT smart portable devices such as smartphones, home appliances, healthcare device, smart vehicle devices automation industry devices, etc. Though IoT enabled devices has been increased in many fields, the industries still faces many problem with connectivity issues because of several factors like mobility nature of devices; limited processing power and resource availability which includes energy, bandwidth constraints, routing cost and end to end delay; communication between node to node via intermediate mobile nodes towards destination may also fail links frequently, there by affecting the network performance. These limitations of existing topology based on reactive tree and mesh based routing protocols create challenging task while designing an optimized stable routing algorithm for IoT. In such a situation, resource optimization is an essential task to be performed by the IoT networks. In the proposed work resource optimization was done by Designed Optimized Multicast Routing Algorithm (DOMRA) for IoT. The DOMR algorithm implemented has route discovery process with nodes positions, directions of nodes, velocities of nodes, and then the path stability bases to overcome the connectivity issues. The proposed algorithm focusing to deploy various real time IoT enabled applications such as smart home automation, smart cites, smart agriculture, automation industry etc. To finalize the simulation results shows maximized system throughput, goodput, packet delivery ratio, network lifetime, network routing performance and reduced control overheads. The proposed algorithm hence produced better routing performance when compared with other existing algorithm in wireless networks.
Land Use/Land Cover Change Detection using Geoinformatics in Gurugram District, Haryana, India
Authors:   Research Scholar, IKG Punjab Technical University, Jalandhar, Punjab, India, Goyal Mr. Anuj
Published: August 2019

The district Gurugram in the state Haryana has seen significant extension & development during the last few years. In this paper, the change in land-use/cover has been estimated with time range of 2007 - 2017 and the change detection was quantified. The land-use/cover data generated through satellite imagery has been classified into five major classes i.e., (i) Built-up land (ii) Water Bodies (iii) Barren Land (iv) Agricultural Land (v) Vegetation. The investigation was helped out through Geoinformatics approach by using IRS-P6-LISS-III sensor of 2007 and IRS-P6-LISS-IV sensor of 2017. Observing of land-use/spread mirrored that changes were more noteworthy in degree over the time range of 10 years in the land under various classes. The most sensational changes are the increase in built-up land and barren land. Apart from this decrease in agricultural, water bodies and vegetation cover area also. Results demonstrates an expansive change in the territory of various land use classifications amid the period from 2007 to 2017.The agriculture land covering an area of about 55.27% in 2007 reduced to 43.42% in 2017. The built up area increased from 15.97 % in 2007 to 30.23 in 2017. The barren land area increased from 6.45 % in 2007 to 16.97 in 2017 The Water bodies decreased from 4.65 % in 2007 to 1.05 % in 2017. The vegetation area has also decreased from 17.66 % in 2007 to 8.33 % in 2017. Urban extension and various anthropogenic exercises have brought genuine misfortunes of agricultural land, vegetation and water bodies.
Determination of Significant Features for Building an Efficient Heart Disease Prediction System
Authors:   Department of Computer Science &Engineering Dayananda Sagar University ,Bengaluru, India, Maini Ekta , Venkateswarlu Bondu ,   Department of Computer Science & Engineering Dayananda Sagar University ,Bengaluru, India, Gupta Arbind ,   Department of Computer Science &Engineering ,Dayananda Sagar College of Engineering ,Bengaluru, India.
Published: August 2019

Heart diseases are responsible for the greatest number of deaths all over the world. These diseases are usually not detected in early stages as the cost of medical diagnostics is not affordable by a majority of the people. Research has shown that machine learning methods have a great capability to extract valuable information from the medical data. This information is used to build the prediction models which provide cost effective technological aid for a medical practitioner to detect the heart disease in early stages. However, the presence of some irrelevant and redundant features in medical data deteriorates the competence of the prediction system. This research was aimed to improve the accuracy of the existing methods by removing such features. In this study, brute force-based algorithm of feature selection was used to determine relevant significant features. After experimenting rigorously with 7528 possible combinations of features and 5 machine learning algorithms, 8 important features were identified. A prediction model was developed using these significant features. Accuracy of this model is experimentally calculated to be 86.4%which is higher than the results of existing studies. The prediction model proposed in this study shall help in predicting heart disease efficiently.