Yu. V. Bondarenko, Azeez Ammar Emad, E. Vasilchikova, O. Bondarenko
A characteristic feature of the development of modern economic systems is active association, inte-gration of enterprises into larger economic entities. A distinctive feature of such associations is the multidirectional interests of its members. The development of innovative mechanisms for financial management of an integrated structure, allowing to take into account the conflic¬ting interests of the enterprises of the association, is an urgent task. Aim. To develop mathematical models and algo-rithms to improve the efficiency of financial management of the association of business entities by forming an optimal package of projects and coordinated distribution of profits from its implemen-tation between enterprises. Materials and methods. The proposed approach is based on the use of systems analysis methods, optimization methods, decision theory and game theory. The paper dis-cusses the mechanism for the coordinated distribution of funds of the enterprises of the association in the implementation of projects, which consists of two enlarged stages. At the first stage, an optimal package of merger projects is formed. Each enterprise of the association offers its own variants of projects, from which a package of projects is formed. The constructed model of the formation of a package of projects that ensures the amalgamation of obtaining the greatest profit is a knapsack problem and is solved by the branch and bound method. At the second stage, the distri-bution of profits from the implementation of projects between the enterprises of the association is carried out. To find the distribution of profits, ensuring the coordination of the economic interests of the enterprises of the association, it is proposed to use the methods and principles of the theory of cooperative games. The paper shows that the described problem can be formally represented as a game in the form of a characteristic function. It is proposed to choose a certain element of the C-core as an agreed profit distribution. The formation of this element is carried out on the basis of an optimization model, the function of the goal and the system of restrictions of which takes into ac-count quantitative indicators of the activity of enterprises' participation in the implementation of merger projects. Results. A mechanism has been developed for the coordinated distribution of fi-nancial resources of the enterprises of the association during the implementation of projects, based on mathematical models and methods. A feature of the mechanism is the application of the game principle when distributing the profit of projects. Practical calculations are carried out to substantiate the advantages of the presented approach in comparison with the known methods. Conclusion. The coordinated distribution of finances proposed in the work reasonably ensures the benefit of each en-terprise from the joint implementation of projects and stimulates the management of enterprises to search for highly effective p
{"title":"MODELS AND ALGORITHMS OF THE CONSISTENT FINANCIAL DISTRIBUTION IN THE IMPLEMENTATION OF PROJECTS OF THE ASSOCIATION OF BUSINESS ENTITIES","authors":"Yu. V. Bondarenko, Azeez Ammar Emad, E. Vasilchikova, O. Bondarenko","doi":"10.14529/ctcr200409","DOIUrl":"https://doi.org/10.14529/ctcr200409","url":null,"abstract":"A characteristic feature of the development of modern economic systems is active association, inte-gration of enterprises into larger economic entities. A distinctive feature of such associations is the multidirectional interests of its members. The development of innovative mechanisms for financial management of an integrated structure, allowing to take into account the conflic¬ting interests of the enterprises of the association, is an urgent task. Aim. To develop mathematical models and algo-rithms to improve the efficiency of financial management of the association of business entities by forming an optimal package of projects and coordinated distribution of profits from its implemen-tation between enterprises. Materials and methods. The proposed approach is based on the use of systems analysis methods, optimization methods, decision theory and game theory. The paper dis-cusses the mechanism for the coordinated distribution of funds of the enterprises of the association in the implementation of projects, which consists of two enlarged stages. At the first stage, an optimal package of merger projects is formed. Each enterprise of the association offers its own variants of projects, from which a package of projects is formed. The constructed model of the formation of a package of projects that ensures the amalgamation of obtaining the greatest profit is a knapsack problem and is solved by the branch and bound method. At the second stage, the distri-bution of profits from the implementation of projects between the enterprises of the association is carried out. To find the distribution of profits, ensuring the coordination of the economic interests of the enterprises of the association, it is proposed to use the methods and principles of the theory of cooperative games. The paper shows that the described problem can be formally represented as a game in the form of a characteristic function. It is proposed to choose a certain element of the C-core as an agreed profit distribution. The formation of this element is carried out on the basis of an optimization model, the function of the goal and the system of restrictions of which takes into ac-count quantitative indicators of the activity of enterprises' participation in the implementation of merger projects. Results. A mechanism has been developed for the coordinated distribution of fi-nancial resources of the enterprises of the association during the implementation of projects, based on mathematical models and methods. A feature of the mechanism is the application of the game principle when distributing the profit of projects. Practical calculations are carried out to substantiate the advantages of the presented approach in comparison with the known methods. Conclusion. The coordinated distribution of finances proposed in the work reasonably ensures the benefit of each en-terprise from the joint implementation of projects and stimulates the management of enterprises to search for highly effective p","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121937624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose of the study. The task set by the President of Russia to increase the output of civilian products at the enterprises of the defense complex to 50% in 2030 requires the study of various ne-cessary resources, as well as models and methods of managing them. In the context of the econom-ic crisis caused by the coronavirus in 2020, the relevance of studying the possibilities of achieving this significant task is increasing. In this work, the goal is to develop a mathematical model, conduct modeling and assess the need for financing the growth of civilian output at enterprises in the re-search and development industry. Methods. A simulation model for multi-period forecasting of the financial state of the enterprise is used. Methods of processing big data are used to obtain the in-itial information. The means of regression analysis are used to determine the dependencies of the fi-nancial statements. Scenario analysis methods allow us to consider and highlight the significant fac-tors influencing the research goal. Results. A multi-period model of forecasting the financial and economic state of an enterprise has been developed to assess the consequences of an increase in ci-vilian production at enterprises of scientific research and development. The initial data of financial statements based on open data from Russian Agency for Statistics (Rosstat) were obtained, and the aggregation of reporting indicators was carried out. Simulation calculations were carried out in the scenarios of inertial growth, growth with an increase in efficiency, and replacement growth. The task of increasing the share of civilian products to 50% by 2030 at scientific and technical en-terprises in Russia will require significant additional funding, an estimate of about 1,300 billion ru-bles in an inertial scenario. The development and implementation of a program to improve the effi-ciency of enterprises significantly reduces the need for additional financing, the estimate is about 1,100 billion rubles with a slight improvement in efficiency parameters. Conclusion. The results of this study can be used to develop industrial development programs both at the industry level and at the level of individual enterprises. Increasing the output of civilian products will require significant funding. Development and implementation of operational efficiency programs of enterprises can significant-ly reduce the need for additional funding.
{"title":"FORECASTING OF FINANCING OF ENTERPRISE CONVERSION","authors":"O. Dranko","doi":"10.14529/ctcr200408","DOIUrl":"https://doi.org/10.14529/ctcr200408","url":null,"abstract":"Purpose of the study. The task set by the President of Russia to increase the output of civilian products at the enterprises of the defense complex to 50% in 2030 requires the study of various ne-cessary resources, as well as models and methods of managing them. In the context of the econom-ic crisis caused by the coronavirus in 2020, the relevance of studying the possibilities of achieving this significant task is increasing. In this work, the goal is to develop a mathematical model, conduct modeling and assess the need for financing the growth of civilian output at enterprises in the re-search and development industry. Methods. A simulation model for multi-period forecasting of the financial state of the enterprise is used. Methods of processing big data are used to obtain the in-itial information. The means of regression analysis are used to determine the dependencies of the fi-nancial statements. Scenario analysis methods allow us to consider and highlight the significant fac-tors influencing the research goal. Results. A multi-period model of forecasting the financial and economic state of an enterprise has been developed to assess the consequences of an increase in ci-vilian production at enterprises of scientific research and development. The initial data of financial statements based on open data from Russian Agency for Statistics (Rosstat) were obtained, and the aggregation of reporting indicators was carried out. Simulation calculations were carried out in the scenarios of inertial growth, growth with an increase in efficiency, and replacement growth. The task of increasing the share of civilian products to 50% by 2030 at scientific and technical en-terprises in Russia will require significant additional funding, an estimate of about 1,300 billion ru-bles in an inertial scenario. The development and implementation of a program to improve the effi-ciency of enterprises significantly reduces the need for additional financing, the estimate is about 1,100 billion rubles with a slight improvement in efficiency parameters. Conclusion. The results of this study can be used to develop industrial development programs both at the industry level and at the level of individual enterprises. Increasing the output of civilian products will require significant funding. Development and implementation of operational efficiency programs of enterprises can significant-ly reduce the need for additional funding.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126261968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article provides an overview of the methods of managing the primary petroleum refining. To improve separation efficiency was proposed to stabilize the reflux ratio in the rectifying column. Purpose of work. To develop a system for automatic regulation of the reflux ratio of diesel fuel sec-tions in an atmospheric column of the refinery oil. To study the operating modes of an atmospheric column with the participation of the obtained automatic control system. Materials and methods. The article presented the features of the oil rectification process at the atmospheric unit of a small capacity refinery. The features of heat dissipation with intermediate circulation flash compared to a large-capacity unit will be shown in this article. The parameters of the facility were selected and divided into groups. A dynamic model of the section of shell-and-tube heat exchangers for heating oil with diesel fuel at a low-power refinery unit in the form of differential equations of heat balance has been developed to achieve the goal set work. An electrode dehydrator material balance equation has been compiled to find desalted oil consumption and saltwater consumption. The dependence of the reflux ratio of diesel fuel sections of the atmospheric column on the inlet and outlet temperatures of the atmospheric column circulation flash, the acute fractionation con-sumption, circulation flash, and oil fraction selection was obtained. The resulting model of the facili-ty consists of two parts: the linear part of the electric dehydrator and heat exchanger section, which determines the temperatures of the coolants, and the nonlinear output part, which determines the re-flux ratio depending on technological parameters. The proposed model makes it possible to investi-gate the effect of disturbances on the controlled parameters. The MATLAB/Simulink software prod-uct has been chosen as a tool to implement the model. A system of automatic regulation of the re-flux ratio in MATLAB/Simulink has been built with the participation of the developed model of the study object. Conclusion. The results of modeling a system for automatic regulation of the reflux ratio of diesel fuel sections in the atmospheric column of a low-power refinery unit has been ob-tained, taking into account the peculiarities of the process under disturbance conditions.
{"title":"DEVELOPMENT OF AN AUTOMATIC REFLUX RATIO REGULATION SYSTEM FOR THE RECTIFICATION COLUMN","authors":"L. Tugashova, A. Zatonskiy","doi":"10.14529/ctcr200411","DOIUrl":"https://doi.org/10.14529/ctcr200411","url":null,"abstract":"This article provides an overview of the methods of managing the primary petroleum refining. To improve separation efficiency was proposed to stabilize the reflux ratio in the rectifying column. Purpose of work. To develop a system for automatic regulation of the reflux ratio of diesel fuel sec-tions in an atmospheric column of the refinery oil. To study the operating modes of an atmospheric column with the participation of the obtained automatic control system. Materials and methods. The article presented the features of the oil rectification process at the atmospheric unit of a small capacity refinery. The features of heat dissipation with intermediate circulation flash compared to a large-capacity unit will be shown in this article. The parameters of the facility were selected and divided into groups. A dynamic model of the section of shell-and-tube heat exchangers for heating oil with diesel fuel at a low-power refinery unit in the form of differential equations of heat balance has been developed to achieve the goal set work. An electrode dehydrator material balance equation has been compiled to find desalted oil consumption and saltwater consumption. The dependence of the reflux ratio of diesel fuel sections of the atmospheric column on the inlet and outlet temperatures of the atmospheric column circulation flash, the acute fractionation con-sumption, circulation flash, and oil fraction selection was obtained. The resulting model of the facili-ty consists of two parts: the linear part of the electric dehydrator and heat exchanger section, which determines the temperatures of the coolants, and the nonlinear output part, which determines the re-flux ratio depending on technological parameters. The proposed model makes it possible to investi-gate the effect of disturbances on the controlled parameters. The MATLAB/Simulink software prod-uct has been chosen as a tool to implement the model. A system of automatic regulation of the re-flux ratio in MATLAB/Simulink has been built with the participation of the developed model of the study object. Conclusion. The results of modeling a system for automatic regulation of the reflux ratio of diesel fuel sections in the atmospheric column of a low-power refinery unit has been ob-tained, taking into account the peculiarities of the process under disturbance conditions.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125200052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I. Bolodurina, Yu. P. Ivanova, L. M. Antsiferova, V. D. Blinov
Currently, transition to the electronic presentation of bibliographic information about scientific works has caused an increased interest in scientometric research. At the same time, the existing sci-entometric methods are criticized by scientists, since the incomplete bibliographic base and tools for its assessment do not allow the most accurate assessment of the contribution of scientific work. The problem of the quality of scientometric assessments, as a rule, is based on the study of the data of a certain citation system, which does not include complete information about all publications of the authors contained in other citation systems. Aim. This study is aimed at developing an adaptive ap-proach for the formation of aggregated data of bibliographic information of a scientific organiza-tion in conditions of incomplete information from the citation systems of the RSCI, “Google Aca-demy” and Scopus. Methods. The definition of the aggregated list of publications for the analysis of scientometric indicators was carried out by the Winnowing method, the Levenshtein algorithm, the shingle method and the Jaro–Winkler method. In the framework of the experimental study, the effectiveness of the application of the considered methods for aggregating information from cita-tion systems was assessed based on the analysis of accuracy, completeness and F-measure. Results. Expe¬riments on test data from the list of publications by authors of the Orenburg State University from the citation systems RSCI, Google Academy and Scopus showed that the Winnowing method formed the most accurate lists of publications by the F-measure criterion. To improve the perfor-mance of this algorithm, a two-stage optimization of the aggregation process was carried out, which made it possible to improve the running time of the algorithm when generating a list of bibliographic descriptions. Conclusion. The proposed approach for the formation of aggregated data of biblio-graphic information of a scientific organization in conditions of incomplete information from the ci-tation systems of the Russian Science Citation Index, Google Academy and Scopus allows increas-ing productivity in the formation of a list of authors' publications and shows good efficiency in de-termining the scientometric characteristics of authors.
目前，向科学著作书目信息的电子表示的过渡引起了人们对科学计量学研究的兴趣。与此同时，现有的科学计量学方法也受到了科学家的批评，因为其评估的书目基础和工具不完整，无法最准确地评估科学工作的贡献。通常，科学计量学评估的质量问题是基于对某一引文系统数据的研究，而该系统不包括其他引文系统中作者所有出版物的完整信息。的目标。本研究旨在开发一种在RSCI、“Google academy -demy”和Scopus引文系统信息不完全的情况下，形成科学组织书目信息汇总数据的自适应方法。方法。采用Winnowing法、Levenshtein算法、shingle法和Jaro-Winkler法定义用于科学计量指标分析的出版物汇总列表。在实验研究的框架内，基于准确性、完整性和F-measure分析，评估了所考虑的引文系统信息聚合方法的有效性。结果。对来自RSCI、Google Academy和Scopus引文系统的奥伦堡州立大学作者的出版物列表的测试数据进行了实验，结果表明，根据F-measure标准，Winnowing方法形成了最准确的出版物列表。为了提高算法的性能，对聚合过程进行了两阶段优化，使得算法在生成书目描述列表时的运行时间得以提高。结论。在俄罗斯科学引文索引(Russian Science Citation Index)、Google Academy和Scopus等引文系统信息不完全的情况下，提出的形成科学组织书目信息汇总数据的方法可以提高作者出版物列表的形成效率，并在确定作者的科学计量特征方面显示出良好的效率。
{"title":"DEVELOPMENT OF A MODIFIED WINNOWING METHOD FOR AGGREGATING BIBLIOGRAPHIC INFORMATION DATA FROM CITATION SYSTEMS UNDER THE CONDITIONS OF INCOMPLETE INFORMATION","authors":"I. Bolodurina, Yu. P. Ivanova, L. M. Antsiferova, V. D. Blinov","doi":"10.14529/ctcr200413","DOIUrl":"https://doi.org/10.14529/ctcr200413","url":null,"abstract":"Currently, transition to the electronic presentation of bibliographic information about scientific works has caused an increased interest in scientometric research. At the same time, the existing sci-entometric methods are criticized by scientists, since the incomplete bibliographic base and tools for its assessment do not allow the most accurate assessment of the contribution of scientific work. The problem of the quality of scientometric assessments, as a rule, is based on the study of the data of a certain citation system, which does not include complete information about all publications of the authors contained in other citation systems. Aim. This study is aimed at developing an adaptive ap-proach for the formation of aggregated data of bibliographic information of a scientific organiza-tion in conditions of incomplete information from the citation systems of the RSCI, “Google Aca-demy” and Scopus. Methods. The definition of the aggregated list of publications for the analysis of scientometric indicators was carried out by the Winnowing method, the Levenshtein algorithm, the shingle method and the Jaro–Winkler method. In the framework of the experimental study, the effectiveness of the application of the considered methods for aggregating information from cita-tion systems was assessed based on the analysis of accuracy, completeness and F-measure. Results. Expe¬riments on test data from the list of publications by authors of the Orenburg State University from the citation systems RSCI, Google Academy and Scopus showed that the Winnowing method formed the most accurate lists of publications by the F-measure criterion. To improve the perfor-mance of this algorithm, a two-stage optimization of the aggregation process was carried out, which made it possible to improve the running time of the algorithm when generating a list of bibliographic descriptions. Conclusion. The proposed approach for the formation of aggregated data of biblio-graphic information of a scientific organization in conditions of incomplete information from the ci-tation systems of the Russian Science Citation Index, Google Academy and Scopus allows increas-ing productivity in the formation of a list of authors' publications and shows good efficiency in de-termining the scientometric characteristics of authors.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132169631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Goal. Application of fundamentally new approaches to solving the problem of structural syn-thesis of ill-defined objects is, on the one hand, a challenge of time that requires reducing the time for development and obtaining high-quality technical solutions, and, on the other hand, the result of research that allows the use of invariant trial and error algorithms for structural synthesis. Solving this problem by the proposed method requires the creation of the set of data and knowledge, the search of which will give the desired result. Formation of this set and control of its correct and actual state is a serious task requiring the development of new approaches, formalization of processes and development of algorithms imposed by these approaches. Methods. The stages of formation of the pointed set are: collection of data on existing technical solutions, their formal description, gene-ralization of these descriptions with the formation of a certain structure, which allows for identifying each existing object unambiguously and creating a new one either by a combination of existing knowledge or by upgrading the known technical solutions. It is proposed to use a classifier as a structure that summarizes the data of a specific area of knowledge. The peculiarity of this classifi-er is that two methods of development are implemented here: hierarchical and faceted. Creation of such a classifier and its correct state is a problem that allows to solve the problem of formation of information support for structural synthesis systems of ill-defined objects of medium and high complexity. Results. The process of creating such a classifier deals with a number of problems, the identification of which is the first step towards the development of high-quality information support. These problems arise at each stage of the domain analysis (analysis of existing versions of objects; generalization of knowledge about the considered objects; addition (extension) of the classifier). The reasons for their occurrence may be violation of the principle of sufficiency in analysis and de-composition, violation of the hierarchy of the structure when generalizing in the process of building a domain model, violation of the signs of mandatory and optional when synthesizing and expand-ing the model, which is based on the classifier. Conclusion. Identifying these problems and studying the process of avoiding and overcoming them is an important task, the solution of which will allow you to for-malize the process of creating a classifier as an information model of a structural synthesis system.
{"title":"CLASSIFIER OF THE KNOWLEDGE AREA AS AN INFORMATION MODEL OF STRUCTURAL SYNTHESIS SYSTEM. PROBLEMS OF ITS CREATION AND DEVELOPMENT","authors":"O. Malina, A. Moiseev, E. A. Malina","doi":"10.14529/ctcr200401","DOIUrl":"https://doi.org/10.14529/ctcr200401","url":null,"abstract":"Goal. Application of fundamentally new approaches to solving the problem of structural syn-thesis of ill-defined objects is, on the one hand, a challenge of time that requires reducing the time for development and obtaining high-quality technical solutions, and, on the other hand, the result of research that allows the use of invariant trial and error algorithms for structural synthesis. Solving this problem by the proposed method requires the creation of the set of data and knowledge, the search of which will give the desired result. Formation of this set and control of its correct and actual state is a serious task requiring the development of new approaches, formalization of processes and development of algorithms imposed by these approaches. Methods. The stages of formation of the pointed set are: collection of data on existing technical solutions, their formal description, gene-ralization of these descriptions with the formation of a certain structure, which allows for identifying each existing object unambiguously and creating a new one either by a combination of existing knowledge or by upgrading the known technical solutions. It is proposed to use a classifier as a structure that summarizes the data of a specific area of knowledge. The peculiarity of this classifi-er is that two methods of development are implemented here: hierarchical and faceted. Creation of such a classifier and its correct state is a problem that allows to solve the problem of formation of information support for structural synthesis systems of ill-defined objects of medium and high complexity. Results. The process of creating such a classifier deals with a number of problems, the identification of which is the first step towards the development of high-quality information support. These problems arise at each stage of the domain analysis (analysis of existing versions of objects; generalization of knowledge about the considered objects; addition (extension) of the classifier). The reasons for their occurrence may be violation of the principle of sufficiency in analysis and de-composition, violation of the hierarchy of the structure when generalizing in the process of building a domain model, violation of the signs of mandatory and optional when synthesizing and expand-ing the model, which is based on the classifier. Conclusion. Identifying these problems and studying the process of avoiding and overcoming them is an important task, the solution of which will allow you to for-malize the process of creating a classifier as an information model of a structural synthesis system.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125388025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Model Paradigm of digital control in production systems is based on the intelligent integra-tion of virtual and real processes with production objects (their system models). In this case, the platform (environment) for the intelligent integration of virtual and real processes is the information environment of the subject-oriented area. The functions of specialists, in this case, are reduced to the role of experts who implement the formal predicate knowledge prescribed in the corresponding methods and job descriptions (documents) and analyze the updated data of real production from the corresponding databases and knowledge bases. This ensures the properties of identifiability and traceability of production facilities and their processes. The spatial and temporal distribution of the holding's production facilities determine the basic coordinate system for their system modeling and management. Automation of intellectual processes of organization, planning, monitoring and management of interconnected production facilities in space and time, taking into account the in-fluence of the external environment, in real and virtual aspects, is an important and urgent task. System modeling is one of the main components of the organization of any process, including pro-duction. It should also be noted that the system modeling process itself is an intellectual, laborious and ob-jective process. Purpose of the study. To develop a methodology for system modeling (system de-scription) and adaptive management of production activities by individual enterprises as part of a machine-building holding. Develop a methodology for implementing this system model. Research methods used in the work: – principles of system engineering methodology (process approach, life cycle, etc.); – an integrated approach and structural analysis of the diversity of information processes in the interaction of individual production enterprises within the holding; – functional modeling of dynamic systems. Results. A methodology of system modeling (system description) of multilevel adaptive control of production systems distributed in space and time is proposed, taking into account the influence of the external environment. On the example of a machine-building holding, it is shown that this in-tellectualized system dynamic model can be implemented in the form of an Information-Advisory System. Conclusion. The proposed Methodology of System Analysis and Modeling of Adaptive Mana¬gement of Machine-Building Production as a part of the holding allows solving urgent prob-lems of effective management of production activities, taking into account the influence of the ex-ternal environment.
{"title":"METHODOLOGY OF SYSTEM MODELING OF ADAPTIVE MANAGEMENT OF MACHINE-BUILDING PRODUCTION","authors":"G. Kulikov, A. Rechkalov, A. V. Artyukhov","doi":"10.14529/ctcr200412","DOIUrl":"https://doi.org/10.14529/ctcr200412","url":null,"abstract":"The Model Paradigm of digital control in production systems is based on the intelligent integra-tion of virtual and real processes with production objects (their system models). In this case, the platform (environment) for the intelligent integration of virtual and real processes is the information environment of the subject-oriented area. The functions of specialists, in this case, are reduced to the role of experts who implement the formal predicate knowledge prescribed in the corresponding methods and job descriptions (documents) and analyze the updated data of real production from the corresponding databases and knowledge bases. This ensures the properties of identifiability and traceability of production facilities and their processes. The spatial and temporal distribution of the holding's production facilities determine the basic coordinate system for their system modeling and management. Automation of intellectual processes of organization, planning, monitoring and management of interconnected production facilities in space and time, taking into account the in-fluence of the external environment, in real and virtual aspects, is an important and urgent task. System modeling is one of the main components of the organization of any process, including pro-duction. It should also be noted that the system modeling process itself is an intellectual, laborious and ob-jective process. Purpose of the study. To develop a methodology for system modeling (system de-scription) and adaptive management of production activities by individual enterprises as part of a machine-building holding. Develop a methodology for implementing this system model. Research methods used in the work: – principles of system engineering methodology (process approach, life cycle, etc.); – an integrated approach and structural analysis of the diversity of information processes in the interaction of individual production enterprises within the holding; – functional modeling of dynamic systems. Results. A methodology of system modeling (system description) of multilevel adaptive control of production systems distributed in space and time is proposed, taking into account the influence of the external environment. On the example of a machine-building holding, it is shown that this in-tellectualized system dynamic model can be implemented in the form of an Information-Advisory System. Conclusion. The proposed Methodology of System Analysis and Modeling of Adaptive Mana¬gement of Machine-Building Production as a part of the holding allows solving urgent prob-lems of effective management of production activities, taking into account the influence of the ex-ternal environment.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122395204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Shinkarev, Chelyabinsk Russian Federation Softmast-IT Llc
The first mentions of enterprise information systems refer to the 1960s. These systems developed over time, becoming more complex and allowing to solve a wide range of problems. The 1990s mark the beginning of the active development of web technologies. Naturally, they found way into the development of enterprise information systems used for various purposes. The purpose of the study was to describe the main stages in the development of web technologies, from the appearance of the hypertext markup language to modern single-page web applications, as well as the impact they had on approaches to the development of enterprise information systems. The author meant to identify promising trends in web-based solutions that can be successfully used in the development of enterprise information systems. Materials and methods. The paper discusses modern web tech-no¬logies, their development from the dawn to the present day, as well as some tools recognized as obsolete, and the reasons why it is impossible to develop them further. Results. The paper gives the history of the emergence of various technologies, describes their impact on approaches to the im-plementation of enterprise systems, and a way to move from a desktop version of the system to an online one. Some predictions are made concerning the prospects of certain technological areas that have good chances to successfully develop in the future. The author assesses the growing complexity of web applica-tions, the way they merge with the server side development approaches and tools. The demand of software engineers who can develop both the server and client side of an application is rationalized.
{"title":"RETROSPECTIVE OF WEB TECHNOLOGIES EVOLUTION IN DEVELOPMENT OF ENTERPRISE INFORMATION SYSTEMS","authors":"A. Shinkarev, Chelyabinsk Russian Federation Softmast-IT Llc","doi":"10.14529/ctcr200402","DOIUrl":"https://doi.org/10.14529/ctcr200402","url":null,"abstract":"The first mentions of enterprise information systems refer to the 1960s. These systems developed over time, becoming more complex and allowing to solve a wide range of problems. The 1990s mark the beginning of the active development of web technologies. Naturally, they found way into the development of enterprise information systems used for various purposes. The purpose of the study was to describe the main stages in the development of web technologies, from the appearance of the hypertext markup language to modern single-page web applications, as well as the impact they had on approaches to the development of enterprise information systems. The author meant to identify promising trends in web-based solutions that can be successfully used in the development of enterprise information systems. Materials and methods. The paper discusses modern web tech-no¬logies, their development from the dawn to the present day, as well as some tools recognized as obsolete, and the reasons why it is impossible to develop them further. Results. The paper gives the history of the emergence of various technologies, describes their impact on approaches to the im-plementation of enterprise systems, and a way to move from a desktop version of the system to an online one. Some predictions are made concerning the prospects of certain technological areas that have good chances to successfully develop in the future. The author assesses the growing complexity of web applica-tions, the way they merge with the server side development approaches and tools. The demand of software engineers who can develop both the server and client side of an application is rationalized.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121972632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The problem of predicting the state of an Electric Submersible Pump during operation is considered. Downtime and shortages caused by pump failure lead to losses in oil pro-duction and require time to replace equipment. By predicting the condition of the equipment, it is possible to minimize pump maintenance costs and reduce well downtime. Expert systems and pre-dictive analytics methods are used to analyze the state of systems. The scientific work uses methods that are based on artificial neural networks. Purpose of research. Elaboration of the issues of fore-casting the technical condition of the pump through by using machine-learning models. Materials and methods. Equipment failure forecasting is carried out using time series analysis. The data was obtained from telemetric sensors of the monitoring system installed on an electric submersible pump. The initial data were taken at one-minute intervals. Initial data preprocessing was carried out. The data was cleared of values (peaks) that are clearly got out of normal operation and places where the phase voltage was equal to zero were removed. An artificial neural network with the LSTM neuron type is used to predict time series. Time series forecasting was carried out for five days. Evaluating system parameters over long periods allows you to assess the condition of its compo-nents and prevent equipment failure. Results. The possibilities of neural networks trained on the ba-sis of data from telemetric sensors of the monitoring system for predicting the values of vertical vi-bration of the pump are investigated. The use of a neural network model in the form of LSTM, which has shown good results in the analysis of time series, is justified. It was found that neural net-works capture the trend well within the time series, which indicates the possibility of using it together with the expert system. Conclusion. The proposed methods and models are tested on real data, which confirms the possibility of their use in the development of an intelligent information system for managing the technical condition of an Electric Submersible Pump during operation.
{"title":"PREDICTING THE TECHNICAL CONDITION OF AN ELECTRIC SUBMERSIBLE PUMP BASED ON NEURAL NETWORK MODELING","authors":"I. Karakulov, A. V. Kluiev, V. Stolbov","doi":"10.14529/ctcr200404","DOIUrl":"https://doi.org/10.14529/ctcr200404","url":null,"abstract":"The problem of predicting the state of an Electric Submersible Pump during operation is considered. Downtime and shortages caused by pump failure lead to losses in oil pro-duction and require time to replace equipment. By predicting the condition of the equipment, it is possible to minimize pump maintenance costs and reduce well downtime. Expert systems and pre-dictive analytics methods are used to analyze the state of systems. The scientific work uses methods that are based on artificial neural networks. Purpose of research. Elaboration of the issues of fore-casting the technical condition of the pump through by using machine-learning models. Materials and methods. Equipment failure forecasting is carried out using time series analysis. The data was obtained from telemetric sensors of the monitoring system installed on an electric submersible pump. The initial data were taken at one-minute intervals. Initial data preprocessing was carried out. The data was cleared of values (peaks) that are clearly got out of normal operation and places where the phase voltage was equal to zero were removed. An artificial neural network with the LSTM neuron type is used to predict time series. Time series forecasting was carried out for five days. Evaluating system parameters over long periods allows you to assess the condition of its compo-nents and prevent equipment failure. Results. The possibilities of neural networks trained on the ba-sis of data from telemetric sensors of the monitoring system for predicting the values of vertical vi-bration of the pump are investigated. The use of a neural network model in the form of LSTM, which has shown good results in the analysis of time series, is justified. It was found that neural net-works capture the trend well within the time series, which indicates the possibility of using it together with the expert system. Conclusion. The proposed methods and models are tested on real data, which confirms the possibility of their use in the development of an intelligent information system for managing the technical condition of an Electric Submersible Pump during operation.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115985789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article introduces the main mathematical methods of diagnosis of diseases. At first, based on the study of the issue, it is concluded that the task of diagnostics is the most important task for the implementation of effective activities of any medical institution. Methods. Further, in the theoretical part, the main diagnostic models are formulated, such as discriminant analysis and taxonomy (cluster analysis). Then methods of discriminant analysis are applied for the diagnostic system, which allow reducing the medical problem to a system of linear inequalities, using the meth-od of decomposition of the function by basic functions. Results. At the end of the article, important conclusions are made that iterative methods for solving this problem are grouped mainly around the linear correction method, and final methods are grouped around the simplex method. The issue of using decision rule collectives in application packages is also discussed. Further, as a practical part, we consider the application of the described methods to a specific medical task, namely, the diagnosis of primary headaches by signs. To solve the problem, we construct the decisive rules that are the result of discriminant analysis. For these purposes, the Committee method is enabled, and other methods are used in comparison with it. The results show better predictive power for the Committee method. Conclusion. In the conclusion the author about kind of the specifics of mana¬gement of medical institutions, and highlighted the criterion of a correct and timely diagnosis – as one of the main, lets talk about the efficiency of management from the point of view of public health that is Central to an integrated approach of evaluating the effectiveness of medical organiza-tions.
{"title":"THE USE OF MATHEMATICAL METHODS OF DIAGNOSTICS AS A FACTOR OF EFFECTIVE MANAGEMENT OF A MEDICAL ORGANIZATION","authors":"O. Loginovskiy, D. Gilev","doi":"10.14529/ctcr200410","DOIUrl":"https://doi.org/10.14529/ctcr200410","url":null,"abstract":"This article introduces the main mathematical methods of diagnosis of diseases. At first, based on the study of the issue, it is concluded that the task of diagnostics is the most important task for the implementation of effective activities of any medical institution. Methods. Further, in the theoretical part, the main diagnostic models are formulated, such as discriminant analysis and taxonomy (cluster analysis). Then methods of discriminant analysis are applied for the diagnostic system, which allow reducing the medical problem to a system of linear inequalities, using the meth-od of decomposition of the function by basic functions. Results. At the end of the article, important conclusions are made that iterative methods for solving this problem are grouped mainly around the linear correction method, and final methods are grouped around the simplex method. The issue of using decision rule collectives in application packages is also discussed. Further, as a practical part, we consider the application of the described methods to a specific medical task, namely, the diagnosis of primary headaches by signs. To solve the problem, we construct the decisive rules that are the result of discriminant analysis. For these purposes, the Committee method is enabled, and other methods are used in comparison with it. The results show better predictive power for the Committee method. Conclusion. In the conclusion the author about kind of the specifics of mana¬gement of medical institutions, and highlighted the criterion of a correct and timely diagnosis – as one of the main, lets talk about the efficiency of management from the point of view of public health that is Central to an integrated approach of evaluating the effectiveness of medical organiza-tions.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116856179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ultrasound is widely used in various applications, such as monitoring the state of structures, biomed-ical ultrasound imaging, and information (data) transmission. Ultrasonic transceivers are one of the modern communication systems, both for short-range and remote access. Indeed, the technology of the process of transmitting information using communication channels based on ultrasonic (US) vi-brations and the physical implementation of transmission using optical fiber are widely used in con-ditions of confidentiality of data processing. At the same time, the needs of wireless and wired communication demanded the development of more advanced applications (software, hardware solutions). In particular, new challenges have arisen requiring transceivers to have high frequency, wide bandwidth and compact size. Aim. Consider the “technology – opto-ultrasonic” approach used in data transmission and reception channels. This technology involves the generation of ultrasound by a pulse using the optical-acoustic effect, followed by the reception and processing of ultrasonic vibrations. Optical ultrasonic transceivers based on the photo-acoustic (US) principle of operation have great potential, in particular, to obtain the necessary: (super high) frequency of the transmitted signal; wide bandwidth (speed); ease of use as transceivers; low manufacturing cost. Materials and methods. Various methods of spectral analysis (Fourier and Wavelet) have been in-vestigated to ensure the achievement of the above goal. Results. Compared to traditional technolo-gies of information reception and transmission, optical ultrasonic transceivers provide high-frequency communication, wide bandwidth and compact size. Conclusion. The paper investigates the methods of spectral analysis (Fourier and Wavelet) and proposes, based on these studies, possi-ble options for the implementation of optical ultrasonic transceivers that can generate ultrasonic pulses with a duration on a nanosecond scale using an ultrafast laser and receive confidential data with a high degree of security. At the same time, by combining the principle of generating photo-acoustic ultrasound with the use of optical fiber, it is possible to obtain compact and inexpensive ul-trasonic transceivers.
{"title":"OPTO-ULTRASONIC COMMUNICATION CHANNELS","authors":"B. Saidov, V. Telezhkin","doi":"10.14529/ctcr200406","DOIUrl":"https://doi.org/10.14529/ctcr200406","url":null,"abstract":"Ultrasound is widely used in various applications, such as monitoring the state of structures, biomed-ical ultrasound imaging, and information (data) transmission. Ultrasonic transceivers are one of the modern communication systems, both for short-range and remote access. Indeed, the technology of the process of transmitting information using communication channels based on ultrasonic (US) vi-brations and the physical implementation of transmission using optical fiber are widely used in con-ditions of confidentiality of data processing. At the same time, the needs of wireless and wired communication demanded the development of more advanced applications (software, hardware solutions). In particular, new challenges have arisen requiring transceivers to have high frequency, wide bandwidth and compact size. Aim. Consider the “technology – opto-ultrasonic” approach used in data transmission and reception channels. This technology involves the generation of ultrasound by a pulse using the optical-acoustic effect, followed by the reception and processing of ultrasonic vibrations. Optical ultrasonic transceivers based on the photo-acoustic (US) principle of operation have great potential, in particular, to obtain the necessary: (super high) frequency of the transmitted signal; wide bandwidth (speed); ease of use as transceivers; low manufacturing cost. Materials and methods. Various methods of spectral analysis (Fourier and Wavelet) have been in-vestigated to ensure the achievement of the above goal. Results. Compared to traditional technolo-gies of information reception and transmission, optical ultrasonic transceivers provide high-frequency communication, wide bandwidth and compact size. Conclusion. The paper investigates the methods of spectral analysis (Fourier and Wavelet) and proposes, based on these studies, possi-ble options for the implementation of optical ultrasonic transceivers that can generate ultrasonic pulses with a duration on a nanosecond scale using an ultrafast laser and receive confidential data with a high degree of security. At the same time, by combining the principle of generating photo-acoustic ultrasound with the use of optical fiber, it is possible to obtain compact and inexpensive ul-trasonic transceivers.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121043586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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