bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of digital technology on the study of languages and the development of digital education
Authors: Mentsiev A U , Almurzaeva P H , Ashakhanova M Z , Anzorova A I , Dauletukaeva K D 
Published: December 2019

AbstractThis research is based on an analysis of the impact of information technology on education. It also examined the transformation of traditional education into a digital format. The paper presents the arguments of outstanding specialists in the field of education of various countries and clippings from their popular works. This paper explores the symbiosis of pedagogical and technical principles. It also shows the place of digital technology in teacher education. As special cases, here are considered the use of technology in the study of English language and modern theories of language learning.
Antagonistic interaction in an economy model with incomplete information
Authors: Zaitseva Irina , Kron Roman , Ugegov Nikita , Kolyada Leonid , Pupysheva Galina 
Published: December 2019

Abstract
This article discusses the simplest case of two economic entities competing in an antagonistic manner. The antagonism of the interaction of objects is expressed in the fact that the first object (leader) seeks to maximize the value of the residual of the parameters of the two systems, and the second to minimize it. Mathematical modeling of antagonistic interaction in an economy model with incomplete information is described by a separate set of differential equations reflecting the time change of quite a certain numerical parameter characterizing the state of an economic object at any given time, the value of which the governing body of this object seeks to increase by means available to it.
Methodological aspects of machine-building complex economic security from the position of innovative and investment sustainability: macroeconomic cross-section
Authors: Ruiga I R , Rogozinskiy E V , Yamschikov A S , Kovzunova E S , Teterin Yu A 
Published: December 2019

Abstract
The article is devoted to the formation of an assessment methodology for monitoring threats to the economic security of the Russian machine-building complex branches from the perspective of innovative and investment sustainability. The theoretical basis for the study was the results of an analysis of accumulated foreign experience and current Russian practice on the assessment of economic security at the federal and industry levels. Based on the studied approaches, taking into account the identified advantages and disadvantages, the authors have developed a methodology for regular monitoring of threats to economic security in the innovation and investment sectors, which allows not only to monitor the progress of government programs in accordance with target indicators, but also to determine threshold values as some indicators. The assessment mechanism is based on the calculation of the integral index, which is formed taking into account particular indicators that are previously subjected to complex standardization by the amount of discrepancy between their actual and threshold values, with subsequent interpretation of the assessment results from the position of risk level and identification of factors that have a negative impact. The results of the study can be used by regional and federal government bodies to monitor risks and threats in the innovation and investment sphere of the machine-building complex, as well as to adjust existing regulatory, strategic documents and improve mechanisms for ensuring the economic security of the branches of the machine-building complex.
Determination of the order of stochastically linear dynamic systems by using non-parametric estimation of a regression function
Authors: Medvedev AV , Raskina AV , Chzhan EA , Korneeva AA , Videnin CA 
Published: December 2019

Abstract
In order to determine the accurate order of the model of discrete linear dynamic system, nonparametric algorithm is investigated. The algorithm is based on the application of the rule of selection of significant variables depending on a bandwidth. Selected variables are included in the Nadaraya–Watson regression estimation. The investigated dynamic system was simulated under diverse working conditions. The accuracy of the models estimated with the non-parametric methods is investigated. Computational experiments showed that using the non-parametric algorithms, the model orders can be determined. Because of the large number of cases investigated, the probability of the general validity of this nonparametric algorithm is high.
Development of a program for determining the Hirsch index using Web of Science and Scopus pages (by Research Id and Author Id)
Authors: Khakimov F R , Kharitonova O S , Bronskaya V V , Ignashina T V , Balzamov D S 
Published: December 2019

Abstract
The analysis of Web of Science, Scopus sites to extract the Hirsch index is carried out. Programs to extract the Hirsch index using Scopus and Web of Science pages by Research Id and Author Id are created. A program that is a set of scripts in Python for the implementation of the automatic Hirsch index determination on Web of Science and Scopus sites was developed in this work. Collecting the data of scientists about their h-index which will help in assessing their scientific productivity is possible using this program.
Information security of RFID and NFC technologies
Authors: Masyuk M A 
Published: December 2019

Abstract
The subject of this work is the information security of radio frequency identification technologies and near field communication (RFID, NFC). The work describes and classifies some currently known vulnerabilities of the corresponding protocols and devices that implement them, and considers cryptanalysis tools and software. The result of the work is an assessment of the risk of using certain specific NFC devices, for example, contactless bank cards. The author’s view on the development prospects of the technology as a whole is also presented.
Formalization and study of the game-theoretic model of the optimal distribution of workers in enterprises
Authors: Zaitseva Irina , Svechinskaya Tatiana , Zakharov Vladimir , Zakharova Natalia , Murashko Andrey 
Published: December 2019

Abstract
The paper presents a cooperative game about the appointment for the study of the optimal distribution of workers in the enterprise. Many workers and many enterprises are given. In this model, workers can team up, work in different enterprises and perform different jobs. Workers, teaming up and working in different enterprises, receive wages. The sum of these wages at all enterprises forms the income of the team. It is required to distribute income optimally between employees. A numerical example of finding the Shapley vector is compiled, which, depending on the productivity of workers performing work, shows what income each employee should receive.
Artificial intelligence capabilities classification in business environment
Authors: Vinogradova A I , Fomina Yu V , Gorodischeva A N , Astapenko E V , Bedareva A V 
Published: December 2019

Abstract
It is assumed that objects of artificial intelligence will increasingly invade social space, rebuild the system of social ties, and this restructuring will affect all areas of human activity. Already, nowadays, our life in many respects depends on the decisions made by artificial intelligence. The article discusses artificial intelligence algorithms that can be used in business. As artificial intelligence becomes more popular, most of the company’s employees will need to undergo training to become users of artificial intelligence. They will learn how to use corporate applications based on artificial intelligence, manage data properly and seek help from experts if necessary. The task is to find solutions that will help in the near future to automate routine, template processes. That is tasks that do not require special skills but take the time of qualified employees.
Formation of mechanisms for the development of innovative activity in the industrial production of the Russian Federation
Authors: Yuryeva A A , Kuternin M I , Gibadullin A A , Romanova Ju A 
Published: December 2019

Abstract
The article is devoted to the formation of mechanisms for the development of innovative activity in the industry of Russia. The paper identifies factors that impede the transition of industrial production to an innovative development path, among which the authors highlighted a drop in investment in the Russian economy, a lack of staff and an imperfection of infrastructure support, and a decrease in the commercial interest of industrial enterprises. Based on the results, a system of innovative development of industrial production was proposed, which consists in a balance of negative and positive factors, as well as the need for the participation of the private sector, government agencies and public institutions in shaping the prerequisites for the transition of the economy to an innovative development path. In conclusion, the study presents the main findings and results of the work.
Software for modeling the casting process
Authors: Kukartsev V A , Rukosueva A A , Ogol A R , Kukartsev V V , Tynchenko V S , Khramkov V V 
Published: December 2019

Abstract
The permanent improving of physical and mechanical properties of cast alloys, the improving of old processes and the introduction of new processes allowing to get a precision casting with a soft surface and not demanding the machining and, finally, a constant increasing of the productivity of applied processes change not just technological but economic case of the modern foundry. The computer modeling becomes an inalienable part of processes of the new model design and the engineering of technological processes for its production. It gets a status of an important and often a decisive competitive advantage. The computing of the gating system for casting of 20x5ML steel was completed and the most optimal option allowing getting castings without defects was found with LVMflow modeling program. Output of valid casting was computed, there were finding out a needed metal filling of furnace and selecting batch’s material to get the necessary chemical compound of alloy. Based on condition that the smelting will be carried out on return and fresh materials, a spending of acquisition has been defined. Then the way of computing was used as an initial variant to the checking modeling with ProCAST program which allowed to obtain higher amount of valid castings due to the changing the design of gate system. It let change metal filling of furnace and pick up a need in fresh materials in the different way. The calculation of costs for acquisition is revealed that the using of ProCAST let to achieve the reducing to get casting with saving needed quality of alloy.
Automation of the enterprise financial condition evaluation
Authors: Rukosueva A A , Kukartsev V V , Eremeev D V , Boyko A A , Tynchenko V S , Stupina A A 
Published: December 2019

Abstract
This article is devoted to the topic of automating the process of analyzing the organization financial condition. The paper considers the nature and necessity of conducting a financial analysis of the enterprise as a whole for all organizations, and the tax service in particular, identifies factors affecting the financial and economic situation of the enterprise, and describes the methodology for conducting financial analysis of the enterprise. The study demonstrated the benefits of a comprehensive assessment of the enterprise financial condition. The article discusses the rating assessment features of the enterprise financial condition and describes in detail a system of indicators that gives the most accurate data. The paper reveals the importance for financial analysis of such parameters as profitability, liquidity, autonomy ratio, financial stability ratio and equity ratio. The article analyzes and selects software that meets the requirements of the customer, allowing you to automate business processes. The algorithm of the program for assessing the financial condition of organizations is described, and the input information necessary for the correct operation of the model is described, and the result of its work is described in detail. This article presents the results of testing the program on the data of an existing organization.
Implementation of the Wölfflin formal statistical analysis method using fuzzy logic
Authors: Antamoshkin O A , Bryukhanova E R , Antamoshkina V O , Pikov N O , Kukartsev V V , Tynchenko V V 
Published: December 2019

Abstract
The article describes the software implementation of a formal evaluation system realised Wölfflin statistical analysis method in the MATLAB program package. To build such a system we used fuzzy logic and rules developed by Heinrich Wölfflin, who offered the research of objectives as an “objective fact”. Sets of input parameters were developed based on variables and terms of various objects parameters. Application of the fuzzy sets theory for objects evaluation in order to study the relationships of the used parameters showed convenience and efficiency. Since the fuzzy logic describes nature of human thinking more natively.
The use of deep neural networks to detect alarms in mines
Authors: Kudinov D S , Kokhonkova E A 
Published: December 2019

Abstract
The article discusses the problem of detecting signals against a background of noise for alarms for miners in underground mine workings in case of emergency. The theoretical aspects of linear and non-linear filtering of alarms are given, the solution to the problem of constructing a non-linear filter based on deep neural network (DNN) is described. The simulation results are presented and a comparative analysis of the performance of an individual miner receiver using the methods of linear coherent reception and a DNN filter is made. Neural network training was carried out on model and experimental data obtained at an existing underground mine.
The combined method of textual information analysis for the content of destructive indicators
Authors: Gostyunina V A , Davidyuk N V 
Published: December 2019

Abstract
Modern society is characterized by increased progress in science and technology, accompanied by rapid uncontrolled growth and a variety of textual information, including of destructive orientation, in the information space of the Internet. In this regard, as well as in the context of the potential creation of a “closed” Internet space in the Russian Federation, solving the problem of analyzing text content by searching and automatically identifying destructive information is a priority trend. Within the framework of the paper task of identifying destructive information is reduced to the task of classifying the analyzed textual data based on the presence or absence of destructive indicators. The article describes the universal three-stage combined method, including blocks for normalizing input data, the modified dictionary search of destructive indicators and the Bayesian classifier, which allows staged search of various indicators in the text and automatically classifies it as a “dangerous”.
Information and communication technologies in e-commerce and e-governance
Authors: Derindag Omer Faruk , Canakci Mehmet , Tsarev Roman 
Published: December 2019

Abstract
The development of information and communication technologies has reached a level where their use in business and governance is becoming not only expedient but also inevitable. The Internet and ICT have created the technical and technological foundation that can significantly improve the efficiency of public administration, provide businesses and citizens with access to necessary information, simplify bureaucratic procedures and reduce the time for decision making. The paper describes the new conditions in which the business is developing. The article presents the features of the interaction of e-government and business, the impact of e-government on the development of the economy as a whole. The authors analyzed the process of development of technologies for e-governance and e-commerce. The authors identified the tasks that are solved by means of e-government. Also, the authors set up indicators for evaluating the effectiveness of the e-governance. The implementation of the e-government demonstrates advantages for the further development of the economic sector and the whole state in general.
Performance analysis of DE mutation schemes for constrained LSGO problems
Authors: Vakhnin A , Sopov E , Kustov D , Panfilov I 
Published: December 2019

Abstract
Differential Evolution (DE) is one of the most popular evolution algorithms (EAs) for numerical optimization problems with various difficulty levels. Mutation scheme makes a strong influence in DE performance. It produces new trial vectors based on the current population to improve the previous best-found solution. In this paper, we have analyzed the performance of a wide range of various mutation schemes for early proposed ε-CC-SHADE algorithm. We have used scaled benchmark set of constrained large-scale global optimization (cLSGO) problems to investigate ε-CC-SHADE performance. The new benchmark set is based on IEEE CEC 2017 Competition on Constrained Real-Parameter Optimization. The experimental results have shown the dependence of EA performance on the selected mutation scheme for solving optimization problems with high dimension. Based on the numerical results, we have made conclusions for choosing mutation scheme to increase DE performance for cLSGO.
Genetic search of the optimal configuration of information security system using simulation modeling
Authors: Davidyuk N V , Kosmacheva I M , Belov S V , Kuchin I Yu 
Published: December 2019

Abstract
The paper proposes the approach to develop a data protection system (information security system) that is optimal in effectiveness using evolutionary search methods. This approach is characterized by the ability to take into account the influence of random factors (staff qualifications, equipment failures, attack time on the protection system) when choosing a protection option and the possibility of adapting the protection system to changing environmental conditions. The development of an effective information security system using a genetic algorithm is possible on the basis of data on monitoring events in the system, data received from experts and during simulation modeling of the protection system. The research results are of applied nature and can be used in developments related to the design of information systems, decision support systems in the field of information security.
The dynamic simulation model of calculating equipment purchase with the bond loan
Authors: Boyko A A , Kukartsev V V , Eremeev D V , Bondarev A S , Tynchenko V S , Kukartsev V A , Bashmur K A 
Published: December 2019

Abstract
In this article, the dynamic simulation model of calculating equipment purchase on account of a bond loan is presented. The model has been developed on the basis of system dynamic method using Powersim Studio tools. In the constructed model, calculations were conducted in two ways to determine the cost of capital raising through a bond loan and to issuing company and bond profitability for the investor. To determine the capital cost in the model there was used the optimization mechanism, as a tool to determine an optimal value there was applied an optimizer built into Powersim Studio and based on the genetic algorithm. As a result of calculations, it has been obtained next values: the raising capital cost on account of a bond loan, the bond profitability for an investor, etc. Performed calculations can allow summing up that the developed dynamic simulation model is a quiet universal model and on its basis different researches associated to varied aspects of equipment purchase account on issuance bonds are able to perform.
Designing cyber-physical digital production of the Industry 4.0
Authors: Zakoldaev D A , Shukalov A V , Zharinov I O , Zharinov O O 
Published: December 2019

Abstract
The task is to design projection route of the Industry 4.0 item designing digital company. It is clear that existing projection solutions for production divisions cannot be applied to create smart factories. A creation feature of the new type company creation is cyber and physical systems semantic form representation implementation in production division functionality ways descriptions which are applied in the company virtual environment. An Industry 4.0 companies has equal representation forms in mathematical models and in ontology models. To project such companies they must apply the universal cyber and physical systems base models and the special cyber and physical systems of specific purpose models. There is a projection route of the Industry 4.0 cyber and physical production.
Influence of grains and grain boundaries on hardness values
Authors: Matyunin V M , Abusaif Nuha , Marchenkov A Yu 
Published: December 2019

Abstract
Many physical and mechanical properties of materials are connected with their microstructure. Recently, technologies to control the microstructure of materials have been well developed in order to more accurately determine the necessary properties. Therefore, the hardness values of samples from technically pure copper with different average grain sizes are determined. The effect of grain boundaries on the hardness values of a sample from a homogeneous copper structure is studied. The grains effect of different structural components and grain boundaries effect on the hardness values of a sample from steel C45 were also investigated. The grains number in the indentation zone was determined to more correctly obtain the hardness of materials with grains of different structural components, for example, perlite and ferrite.
Rationing and vibration monitoring of knife refiners
Authors: Vikharev S , Sivakov V , Sannikov A 
Published: December 2019

Abstract
The subject of the research is rationing and monitoring of the vibration of knife refiners. GOST 26493-85, specifying the permissible values of the vibration amplitude of the mills, is outdated. This standard does not take into account new designs of knife refiners and the requirements of national and international standards. It is proposed to establish two criteria for assessing the vibration state of the refiners. The first criterion normalizes the amplitude of vibration in octave strips of frequencies, while the second criterion specifies the vibration trend on the general level. It is proposed to use the vibration velocity as the measured parameter. The necessity of separating the refiners into two groups was revealed: with a disc or cone diameter up to 1000 mm and with a diameter over 1000 mm. The boundaries of zones and vibration trends are determined: good; satisfactorily; need improvement and unacceptable. After that, a decision is made to limit the functioning of these machines (prevention and stop). The introduction of standards and vibration monitoring will accelerate the transition to repairs of machines on the technical condition. Methods of rationing and monitoring can be used in other industries, for example, in the mining and metallurgical industries.
The relationship between abrasive wear behavior and chemical structure of polyurethane urea elastomers
Authors: Senichev V Yu , Pogoreltsev E V 
Published: December 2019

Abstract
The relationship between abrasive wear and the chemical structure of molded polyurethane urea elastomers based on polyethers and polyesters was investigated. The regularities of the influence of the hard blocks content in the polymer chain on the abrasive resistance of the studied elastomers in a wide range of their hardness values were revealed.