The problems of strategic and operational management of industrial enterprises in modern conditions of global instability cannot be effectively solved, as in the recent past. New approaches, methods and models are needed that would take into account the complexities of managing industrial enterprises in modern business conditions. Purpose of the study. It is necessary to create a new adaptive approach to the strategic and operational management of industrial enterprises, which would take into account the accelerating dynamics of international markets, as well as the factors of indirect and direct impact on the enterprise, which mainly determine its adaptability. Materials and methods. The main provisions of the conceptual basis of strategic and operational management of industrial enterprises, as well as a set of mathematical models for the implementation of this process are presented. Results. The materials formulated in the article on the preparation and adoption of managerial decisions allow the owners and managers of industrial enterprises to assess all aspects of this process in interrelation and form, in essence, a new paradigm for the functioning of industrial enterprises in conditions of military-political and socio-economic instability in the world, as well as the introduction various sanctions on the part of Western countries in relation to Russian industrial enterprises. At the same time, it becomes possible to take into account the factors of direct and indirect impact on industrial enterprises, which have become especially important in recent years. Conclusion. The approach presented in this article to the formation of the conceptual basis of strategic and operational management of industrial enterprises is, in essence, new and relevant, allowing company shareholders to form promising strategies for the development of industrial enterprises in conjunction with the procedures for operational management of the current activities of enterprises. Thus, the preparation and adoption of decisions on the management of industrial enterprises, both at the strategic and operational levels, becomes possible to carry out on the basis of a holistic algorithm based on the complex of models and methods of strategic and operational management of industrial enterprises developed by the author.
{"title":"The conceptual basis of strategic and operational management of industrial enterprises in conditions of instability","authors":"K. A. Korennaya, Jsc “Kuznetsk Ferroalloys”","doi":"10.14529/CTCR210216","DOIUrl":"https://doi.org/10.14529/CTCR210216","url":null,"abstract":"The problems of strategic and operational management of industrial enterprises in modern conditions of global instability cannot be effectively solved, as in the recent past. New approaches, methods and models are needed that would take into account the complexities of managing industrial enterprises in modern business conditions. Purpose of the study. It is necessary to create a new adaptive approach to the strategic and operational management of industrial enterprises, which would take into account the accelerating dynamics of international markets, as well as the factors of indirect and direct impact on the enterprise, which mainly determine its adaptability. Materials and methods. The main provisions of the conceptual basis of strategic and operational management of industrial enterprises, as well as a set of mathematical models for the implementation of this process are presented. Results. The materials formulated in the article on the preparation and adoption of managerial decisions allow the owners and managers of industrial enterprises to assess all aspects of this process in interrelation and form, in essence, a new paradigm for the functioning of industrial enterprises in conditions of military-political and socio-economic instability in the world, as well as the introduction various sanctions on the part of Western countries in relation to Russian industrial enterprises. At the same time, it becomes possible to take into account the factors of direct and indirect impact on industrial enterprises, which have become especially important in recent years. Conclusion. The approach presented in this article to the formation of the conceptual basis of strategic and operational management of industrial enterprises is, in essence, new and relevant, allowing company shareholders to form promising strategies for the development of industrial enterprises in conjunction with the procedures for operational management of the current activities of enterprises. Thus, the preparation and adoption of decisions on the management of industrial enterprises, both at the strategic and operational levels, becomes possible to carry out on the basis of a holistic algorithm based on the complex of models and methods of strategic and operational management of industrial enterprises developed by the author.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121055833","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 gross regional product is a key macroeconomic indicator that characterizes the development of the regional socio-economic system. Modeling the dynamics of this indicator, as the final product of the economic system, also involves the development of models for changing the values of aggregated cost factors associated with its production. One of the directions of using the developed models is the formation of short-term forecasts of the direct values of the gross regional product and the factors of labor and capital costs of the regional economy that determine them. Aim. Modeling the dynamics of the value of the gross product of the regional economy of the Yamal-Nenets Autonomous Okrug on the basis of the one-sector model of R. Solow for the formation of short-term forecasts of the value of this indicator. Materials and methods. The one-sector model of economic growth by R. Solow is used, in which the functioning of the regional economy is described by two-factor neoclassical functions with a constant elasticity of substitution of factors of production costs. Production functions are identified using retrospective sequences of indices of gross regional product and cost factors of the regional economy. Short-term forecasting of the gross product of the regional economy is carried out using a production function that provides a better approximation of retrospective data of the time interval of the previous forecasting year. Results. Neoclassical two-factor production functions with constant elasticity of substitution of cost factors of the regional economy of the Yamalo-Nenets Autonomous Okrug (YNAO) for the period from 2001 to 2018 were constructed.The values of the gross regional product and the average annual number of employed in the Yamal-Nenets economy were calculated for 2017–2019, which were compared with the corresponding data published by the Federal State Statistics Service of the Russian Federation, and the forecast values published by the regional administration. Conclusion. It has been established that the used production functions give acceptable estimates of the approximation of the actual values of the gross regional product of the considered regional economy in the considered time interval. Modification of the models for changing the values of cost factors made it possible to increase the accuracy of short-term forecasts, both directly of the values of the gross regional product and the values of factors of labor and capital costs.
{"title":"Modeling the Dynamics of Gross Regional Product","authors":"A. Kutyshkin","doi":"10.14529/CTCR210210","DOIUrl":"https://doi.org/10.14529/CTCR210210","url":null,"abstract":"The gross regional product is a key macroeconomic indicator that characterizes the development of the regional socio-economic system. Modeling the dynamics of this indicator, as the final product of the economic system, also involves the development of models for changing the values of aggregated cost factors associated with its production. One of the directions of using the developed models is the formation of short-term forecasts of the direct values of the gross regional product and the factors of labor and capital costs of the regional economy that determine them. Aim. Modeling the dynamics of the value of the gross product of the regional economy of the Yamal-Nenets Autonomous Okrug on the basis of the one-sector model of R. Solow for the formation of short-term forecasts of the value of this indicator. Materials and methods. The one-sector model of economic growth by R. Solow is used, in which the functioning of the regional economy is described by two-factor neoclassical functions with a constant elasticity of substitution of factors of production costs. Production functions are identified using retrospective sequences of indices of gross regional product and cost factors of the regional economy. Short-term forecasting of the gross product of the regional economy is carried out using a production function that provides a better approximation of retrospective data of the time interval of the previous forecasting year. Results. Neoclassical two-factor production functions with constant elasticity of substitution of cost factors of the regional economy of the Yamalo-Nenets Autonomous Okrug (YNAO) for the period from 2001 to 2018 were constructed.The values of the gross regional product and the average annual number of employed in the Yamal-Nenets economy were calculated for 2017–2019, which were compared with the corresponding data published by the Federal State Statistics Service of the Russian Federation, and the forecast values published by the regional administration. Conclusion. It has been established that the used production functions give acceptable estimates of the approximation of the actual values of the gross regional product of the considered regional economy in the considered time interval. Modification of the models for changing the values of cost factors made it possible to increase the accuracy of short-term forecasts, both directly of the values of the gross regional product and the values of factors of labor and capital costs.","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":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126705431","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}
V. Panferov, Russian Air Force Military Educational, Y. Gagarin, S. Panferov, А.М. Hayutin, N. A. Trenin
To ensure safety and improve the efficiency of flight missions, reliable information about the altitude and speed parameters of the aircraft (AC) is required. Therefore, improving the algorithm for calculating the vertical speed used as part of the algorithmic support for air signal systems (ASS) is a very urgent task. Purpose of the study. The problem of calculating the vertical speed of an aircraft in the ASS is considered. Materials and methods. The analysis of literature data on the use of numerical differentiation procedures to solve this problem is carried out, it is noted that the methods used are based on different ideas and approaches. It is indicated that two-point algorithms are significantly worse than multi-point algorithms in terms of the achieved accuracy, howe¬ver, they are characterized by significant simplicity and speed. Various versions of multipoint algorithms are used, differing in complexity, the amount of information used, and the accuracy achieved. The features of the regularizing algorithms, which are essentially filters of a low-frequency useful signal, suppressing the high-frequency component of the error in measuring the altitude signal or, what is the same, atmospheric pressure, are noted. The data on systems with hardware differentiation of the height signal are given. Results. A fairly simple four-point algorithm for numerical differen¬tiation is proposed and substantiated. Due to the averaging of both the measurement results themselves and the estimates of the derivatives, significant filtering of noise is realized, which is an important advantage of the algorithm. For greater accuracy in estimating the vertical speed, it is envisa¬ged to include a preliminary filtering algorithm in the experimental data processing scheme. The filtering algorithm is found from the solution of the optimization problem; it is shown that this algorithm is structurally similar to the filtering algorithms constructed according to the well-known approaches of R. Kalman. The results of computational experiments on the study of the features and characteristics of the proposed algorithms are presented, illustrating their advantages, performance and the possibility of further use in ASS. It is shown that preliminary filtering significantly increases the accuracy of the vertical velocity estimation. Conclusion. The developed algorithms can be used to improve the algorithmic support of the ASS.
{"title":"On One Solution of the Numerical Problem Differentiation in Calculation Vertical Speed of Aircraft","authors":"V. Panferov, Russian Air Force Military Educational, Y. Gagarin, S. Panferov, А.М. Hayutin, N. A. Trenin","doi":"10.14529/CTCR210205","DOIUrl":"https://doi.org/10.14529/CTCR210205","url":null,"abstract":"To ensure safety and improve the efficiency of flight missions, reliable information about the altitude and speed parameters of the aircraft (AC) is required. Therefore, improving the algorithm for calculating the vertical speed used as part of the algorithmic support for air signal systems (ASS) is a very urgent task. Purpose of the study. The problem of calculating the vertical speed of an aircraft in the ASS is considered. Materials and methods. The analysis of literature data on the use of numerical differentiation procedures to solve this problem is carried out, it is noted that the methods used are based on different ideas and approaches. It is indicated that two-point algorithms are significantly worse than multi-point algorithms in terms of the achieved accuracy, howe¬ver, they are characterized by significant simplicity and speed. Various versions of multipoint algorithms are used, differing in complexity, the amount of information used, and the accuracy achieved. The features of the regularizing algorithms, which are essentially filters of a low-frequency useful signal, suppressing the high-frequency component of the error in measuring the altitude signal or, what is the same, atmospheric pressure, are noted. The data on systems with hardware differentiation of the height signal are given. Results. A fairly simple four-point algorithm for numerical differen¬tiation is proposed and substantiated. Due to the averaging of both the measurement results themselves and the estimates of the derivatives, significant filtering of noise is realized, which is an important advantage of the algorithm. For greater accuracy in estimating the vertical speed, it is envisa¬ged to include a preliminary filtering algorithm in the experimental data processing scheme. The filtering algorithm is found from the solution of the optimization problem; it is shown that this algorithm is structurally similar to the filtering algorithms constructed according to the well-known approaches of R. Kalman. The results of computational experiments on the study of the features and characteristics of the proposed algorithms are presented, illustrating their advantages, performance and the possibility of further use in ASS. It is shown that preliminary filtering significantly increases the accuracy of the vertical velocity estimation. Conclusion. The developed algorithms can be used to improve the algorithmic support of the ASS.","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":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125845050","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}
O. Perevalova, S. Barkalov, N. Kalinina, D. N. Batrakova
This article will focus on the mentoring process, which is interconnected with such HR functions as adaptation, motivation and training. And recently, many employers from a variety of alternatives have made a choice in its favor. Aim. The work examines the main functions of mentoring, its practical benefits and areas of application, and the main attention will be focused on the issue associated with the formation of pairs of mentors and students in order to achieve the greatest effect from their interaction. Materials and methods. In the process of achieving the research goal at the initial stage, it was planned to solve the problem of assigning a student to a mentor by forming the most “effective” pairs of mentors and students. These tasks were solved using the Hungarian method. But all the solutions obtained testified to the optimality of any solution to this problem. From this, it was concluded that there was no significance in combining mentors and students, based on a comprehensive assessment of their competencies, skills, etc. As a consequence of the result obtained and analysis of various literary sources, it was concluded that the most effective criterion for composing pairs “mentor – teaching” is compatibility (psychological and socio-psychological), the presence of which will favorably affect the effectiveness of the interaction between the mentor and the student. Consequently, the human resource management department needs, in addition to assessing the competencies, skills and other parameters of the effectiveness of mentors and students, to assess their psychotypes and/or apply various methods to determine the compatibility of the participants in the mentoring process. Results. The main result of the work is a mechanism for securing a student for a mentor and a refutation of the fact that the “effectiveness” of mentors and students, i.e. a point assessment of their competencies, skills and qualities can be a determining factor in the formation of pairs of mentors and students. Conclusion. So, when forming pairs of mentors and students, i.e. distribution of students by mentors, it is proposed to focus on their psychological and socio-psychological compatibility.
{"title":"Model for Assigning a Pupil to a Mentor in the Staff Training System of the Organization","authors":"O. Perevalova, S. Barkalov, N. Kalinina, D. N. Batrakova","doi":"10.14529/CTCR210209","DOIUrl":"https://doi.org/10.14529/CTCR210209","url":null,"abstract":"This article will focus on the mentoring process, which is interconnected with such HR functions as adaptation, motivation and training. And recently, many employers from a variety of alternatives have made a choice in its favor. Aim. The work examines the main functions of mentoring, its practical benefits and areas of application, and the main attention will be focused on the issue associated with the formation of pairs of mentors and students in order to achieve the greatest effect from their interaction. Materials and methods. In the process of achieving the research goal at the initial stage, it was planned to solve the problem of assigning a student to a mentor by forming the most “effective” pairs of mentors and students. These tasks were solved using the Hungarian method. But all the solutions obtained testified to the optimality of any solution to this problem. From this, it was concluded that there was no significance in combining mentors and students, based on a comprehensive assessment of their competencies, skills, etc. As a consequence of the result obtained and analysis of various literary sources, it was concluded that the most effective criterion for composing pairs “mentor – teaching” is compatibility (psychological and socio-psychological), the presence of which will favorably affect the effectiveness of the interaction between the mentor and the student. Consequently, the human resource management department needs, in addition to assessing the competencies, skills and other parameters of the effectiveness of mentors and students, to assess their psychotypes and/or apply various methods to determine the compatibility of the participants in the mentoring process. Results. The main result of the work is a mechanism for securing a student for a mentor and a refutation of the fact that the “effectiveness” of mentors and students, i.e. a point assessment of their competencies, skills and qualities can be a determining factor in the formation of pairs of mentors and students. Conclusion. So, when forming pairs of mentors and students, i.e. distribution of students by mentors, it is proposed to focus on their psychological and socio-psychological compatibility.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125919029","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 COVID-19 pandemic has become a challenge and shock for the whole world. The way of life in various industries has changed. Adjustments are required to companies' business models for recovery and normal operation. During the pandemic, the construction industry also faced many challenges. Research objective. Develop an algorithm for improving the business models of construction companies, taking into account changes in consumer preferences in connection with the spread of COVID-19. Materials and methods. Methods of systems analysis, optimization methods and decision-making theory were applied in the work. The template for the formation of a business model was selected based on the analysis of existing research in this area. Results. It was revealed that in the current conditions, the management of construction companies require special attention from personnel, finances, and supply chains. The paper proposes an algorithm for improving the company's business model, which includes the following main stages: 1. Determine the conditions and ways of creating value. In this case, changes in consumer needs due to the pandemic are taken into account. 2. Identify target segments of consumers by implementing a classification based on several criteria. Consider the possibility of combining (consolidating) target segments in relation to the similarity of requirements. 3. Build a business model in general terms, reflecting the following aspects: target customer, offer, resources, income generation. 4. Detail the business model by filling in the Alexander Osterwalder template. 5. Make the appropriate conclusions. Conclusion. The developed algorithm is applied on the example of construction companies implementing projects in the field of housing construction. Needs vary and change due to the pandemic. The formation of the company's value proposition now must be aimed at meeting the changed needs. In particular, it was found that consumers are currently focused on buying houses, pay more attention to safety, environmental friendliness and autonomy of housing, and are ready to use smart technologies. It is worth noting the prospect of accounting in the developed layouts of apartments and houses, the possibility of equipping a home office (WFH) and separating the entrance area.
{"title":"Improving the Business Model of a Construction Company in a Pandemic and Post-Pandemic Period","authors":"T. Averina, S. Barkalov, M. Kryuchkova","doi":"10.14529/CTCR210208","DOIUrl":"https://doi.org/10.14529/CTCR210208","url":null,"abstract":"The COVID-19 pandemic has become a challenge and shock for the whole world. The way of life in various industries has changed. Adjustments are required to companies' business models for recovery and normal operation. During the pandemic, the construction industry also faced many challenges. Research objective. Develop an algorithm for improving the business models of construction companies, taking into account changes in consumer preferences in connection with the spread of COVID-19. Materials and methods. Methods of systems analysis, optimization methods and decision-making theory were applied in the work. The template for the formation of a business model was selected based on the analysis of existing research in this area. Results. It was revealed that in the current conditions, the management of construction companies require special attention from personnel, finances, and supply chains. The paper proposes an algorithm for improving the company's business model, which includes the following main stages: 1. Determine the conditions and ways of creating value. In this case, changes in consumer needs due to the pandemic are taken into account. 2. Identify target segments of consumers by implementing a classification based on several criteria. Consider the possibility of combining (consolidating) target segments in relation to the similarity of requirements. 3. Build a business model in general terms, reflecting the following aspects: target customer, offer, resources, income generation. 4. Detail the business model by filling in the Alexander Osterwalder template. 5. Make the appropriate conclusions. Conclusion. The developed algorithm is applied on the example of construction companies implementing projects in the field of housing construction. Needs vary and change due to the pandemic. The formation of the company's value proposition now must be aimed at meeting the changed needs. In particular, it was found that consumers are currently focused on buying houses, pay more attention to safety, environmental friendliness and autonomy of housing, and are ready to use smart technologies. It is worth noting the prospect of accounting in the developed layouts of apartments and houses, the possibility of equipping a home office (WFH) and separating the entrance area.","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":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129851230","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}
In this work the task is formulated and the method of reconfiguration of systems of organizational management on the basis of synthesis of the functional structure having an impact on an appearance of all system considerably defining an order of its functioning, integrating in a whole of means of technical and mathematical, program and information support is offered. The research objective consists in need of increase in effective management of organizational systems on the basis of complex development, implementation and application of funds of automated management of its elements. Expert systems on the basis of declarative programming languages are applied to synthesis of similar structures. Research methods. As the tool for definition of the knowledge base about the field of restructuring of structure of management calculation of expressions and language of a predicate logic, that is a logic theory of first order is used. Then, the problem of reconfiguration of hierarchical structure of management system can be presented doubly. First, as a problem of definition of the changes of the known rational hierarchical structure providing minimum loss from the arisen functional failures. Secondly, as a problem of creation of new rational structure which provides optimum use of the resources used in the course of achievement of definite purposes in the changing conditions. Results. As a result of a research, on the basis of de Morgan's law the factors influencing a system status of organizational management in general are defined. The necessary structure of solvable tasks of all hierarchical structure is defined by extent of influence of different factors on characteristics of structure of management. Conclusion. Work of the received expert system consists in consecutive execution or failure to follow rules and transition from one status to another. In case of an impasse the expert system gives the report in the form of requirements of alternative change of these or those rules (factors). New rules are remembered. Thus, the system of knowledge is increased.
{"title":"Application of Methods of Information Engineering for Change of Structure of Multilayer Systems of Organizational Management","authors":"V. Belousov, D. Dorofeev, E. Zenkova","doi":"10.14529/CTCR210213","DOIUrl":"https://doi.org/10.14529/CTCR210213","url":null,"abstract":"In this work the task is formulated and the method of reconfiguration of systems of organizational management on the basis of synthesis of the functional structure having an impact on an appearance of all system considerably defining an order of its functioning, integrating in a whole of means of technical and mathematical, program and information support is offered. The research objective consists in need of increase in effective management of organizational systems on the basis of complex development, implementation and application of funds of automated management of its elements. Expert systems on the basis of declarative programming languages are applied to synthesis of similar structures. Research methods. As the tool for definition of the knowledge base about the field of restructuring of structure of management calculation of expressions and language of a predicate logic, that is a logic theory of first order is used. Then, the problem of reconfiguration of hierarchical structure of management system can be presented doubly. First, as a problem of definition of the changes of the known rational hierarchical structure providing minimum loss from the arisen functional failures. Secondly, as a problem of creation of new rational structure which provides optimum use of the resources used in the course of achievement of definite purposes in the changing conditions. Results. As a result of a research, on the basis of de Morgan's law the factors influencing a system status of organizational management in general are defined. The necessary structure of solvable tasks of all hierarchical structure is defined by extent of influence of different factors on characteristics of structure of management. Conclusion. Work of the received expert system consists in consecutive execution or failure to follow rules and transition from one status to another. In case of an impasse the expert system gives the report in the form of requirements of alternative change of these or those rules (factors). New rules are remembered. Thus, the system of knowledge is increased.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134227615","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 economic crisis caused by the COVID-19 pandemic leads to a significant drop in incomes and tax payments. We consider express modeling of regional budget revenues depending on the depth of the crisis. The assessment is made for one of the Russian regions – the Chelyabinsk region. Purpose of the study. To build a mechanism based on available statistics for express estimation of the regional budget revenues. The comprehensive model for forecasting the region's enterprises' financial results, followed by a forecast of the regional budget revenues, was worked out. Materials and methods. Simulation models of macroeconomic indicators of the region's budget revenues are used in conjunction with enterprises' financial forecasting models. Big Data Analytics was applied to process financial statement data of the regional enterprises. Results. The model links the change in enterprises' financial results with the regional budget revenue dynamics. Based on scenario assumptions, the calculation of the change in financial results and tax bases of regional enterprises was made and the estimation of their contribution to the regional budget. The model allowed to form a forecast of revenues of the budget in the COVID-19 pandemic conditions. Conclusion. This approach combines meso- and microeconomics approaches and simulates the region's economic deve¬lopment as a multilevel system. The proposed model is universal and can be applied to consider the development of any Russian region.
{"title":"MODELING OF IMPACT OF THE CRISIS ON REGIONAL BUDGET REVENUES: ANALYSIS OF CHELYABINSK REGION","authors":"O. Dranko, O. Loginovskiy, S. A. Prikazchikov","doi":"10.14529/CTCR210109","DOIUrl":"https://doi.org/10.14529/CTCR210109","url":null,"abstract":"The economic crisis caused by the COVID-19 pandemic leads to a significant drop in incomes and tax payments. We consider express modeling of regional budget revenues depending on the depth of the crisis. The assessment is made for one of the Russian regions – the Chelyabinsk region. Purpose of the study. To build a mechanism based on available statistics for express estimation of the regional budget revenues. The comprehensive model for forecasting the region's enterprises' financial results, followed by a forecast of the regional budget revenues, was worked out. Materials and methods. Simulation models of macroeconomic indicators of the region's budget revenues are used in conjunction with enterprises' financial forecasting models. Big Data Analytics was applied to process financial statement data of the regional enterprises. Results. The model links the change in enterprises' financial results with the regional budget revenue dynamics. Based on scenario assumptions, the calculation of the change in financial results and tax bases of regional enterprises was made and the estimation of their contribution to the regional budget. The model allowed to form a forecast of revenues of the budget in the COVID-19 pandemic conditions. Conclusion. This approach combines meso- and microeconomics approaches and simulates the region's economic deve¬lopment as a multilevel system. The proposed model is universal and can be applied to consider the development of any Russian region.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124761970","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 development of public transport in cities is an effective way to reduce “congestion” in the road network and, as a result, increase the speed of passenger transportation. Improving the qua¬lity of urban bus services helps attract more passengers. Bus intervals are calculated once for each route line individually, based on the average congestion of passengers at the stops. In turn, the sudden accumulation of a large number of passengers at bus stops causes that not all passengers can move in a timely manner, which causes concern for passengers. This is one of the factors that redu¬ces the quality of passenger transport services. The aim of the study is to develop a model for predicting the congestion of passengers at bus stops to optimize traffic management of urban public transport. Materials and methods. This article presents a neural network model for predicting passenger congestion at bus stops. It takes into account the spatio-temporal characteristics of bus traffic. Results. The developed model for predicting passenger congestion at bus stops was tested on real data from bus route 3 (Dushanbe, Tajikistan). The model made it possible to predict passenger traffic (the number of passengers at bus stops) with an accuracy of 72% to 74.5% of the actual number of passengers at bus stops. Conclusion. The proposed method, in contrast to other methods, allows you to automatically adapt the forecasting model to the changing conditions of the route line. This method is universal and can be used for other route lines (bus stops). It does not require much time to reconfigure.
{"title":"NEURAL NETWORK MODEL FOR PREDICTING PASSENGER CONGESTION TO OPTIMIZE TRAFFIC MANAGEMENT FOR URBAN PUBLIC TRANSPORT","authors":"S. Faridai, R. Juraeva, S. Darovskikh, S. Qodirov","doi":"10.14529/ctcr210106","DOIUrl":"https://doi.org/10.14529/ctcr210106","url":null,"abstract":"The development of public transport in cities is an effective way to reduce “congestion” in the road network and, as a result, increase the speed of passenger transportation. Improving the qua¬lity of urban bus services helps attract more passengers. Bus intervals are calculated once for each route line individually, based on the average congestion of passengers at the stops. In turn, the sudden accumulation of a large number of passengers at bus stops causes that not all passengers can move in a timely manner, which causes concern for passengers. This is one of the factors that redu¬ces the quality of passenger transport services. The aim of the study is to develop a model for predicting the congestion of passengers at bus stops to optimize traffic management of urban public transport. Materials and methods. This article presents a neural network model for predicting passenger congestion at bus stops. It takes into account the spatio-temporal characteristics of bus traffic. Results. The developed model for predicting passenger congestion at bus stops was tested on real data from bus route 3 (Dushanbe, Tajikistan). The model made it possible to predict passenger traffic (the number of passengers at bus stops) with an accuracy of 72% to 74.5% of the actual number of passengers at bus stops. Conclusion. The proposed method, in contrast to other methods, allows you to automatically adapt the forecasting model to the changing conditions of the route line. This method is universal and can be used for other route lines (bus stops). It does not require much time to reconfigure.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114637139","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 article discusses the creation of an algorithm and the synthesis of a two-loop automatic control system for level and density, instead of the current single-loop one. Aim. Density stabilization and stabilization of the flotation machine power supply by creating a two-circuit automatic level and density control system in order to improve the quality of the final product. Materials and methods. Since there is no net lag in the system, the controller is tuned using the parametric optimization method, namely: according to the criteria of modular (MO) or symmetric optimum (CO). The MO/CO criterion is also used to adjust the contour. All automatic control systems are obtained in the MATLAB Simulink software package. Control quality is measured by metrics such as transient time, overshoot, and system error. The first two indicators show the dynamics of the process, and the last indicator shows the accuracy of the system. Conclusion. The finished two-loop automatic control system, developed in the software package MATLAB Simulink, according to the analysis of the obtained process parameters, provides stabilization of the density and level in the agitation tank for flotation.
{"title":"DEVELOPMENT OF AN AUTOMATIC CONTROL SYSTEM FOR THE FLOTATION PROCESS OF POTASSIUM CHLORIDE","authors":"M. Fel’ker, K. D. Bakhtereva","doi":"10.14529/CTCR210113","DOIUrl":"https://doi.org/10.14529/CTCR210113","url":null,"abstract":"The article discusses the creation of an algorithm and the synthesis of a two-loop automatic control system for level and density, instead of the current single-loop one. Aim. Density stabilization and stabilization of the flotation machine power supply by creating a two-circuit automatic level and density control system in order to improve the quality of the final product. Materials and methods. Since there is no net lag in the system, the controller is tuned using the parametric optimization method, namely: according to the criteria of modular (MO) or symmetric optimum (CO). The MO/CO criterion is also used to adjust the contour. All automatic control systems are obtained in the MATLAB Simulink software package. Control quality is measured by metrics such as transient time, overshoot, and system error. The first two indicators show the dynamics of the process, and the last indicator shows the accuracy of the system. Conclusion. The finished two-loop automatic control system, developed in the software package MATLAB Simulink, according to the analysis of the obtained process parameters, provides stabilization of the density and level in the agitation tank for flotation.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121604120","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, Softmast-IT, Russian Federation Chelyabinsk
Major tasks in the field of information technology that business faces today one way or another relate to data processing and search for new information in it. The methods in use include statistical methods, machine learning models, and simpler methods and models. However, all solutions aimed at information search require an information infrastructure that would meet the basic requirements for systems of this kind. The purpose of the study was to describe the main functional and technical requirements to modern systems implementing renewable information search. The author meant to form fundamental architectural proposals for the design of the system as a whole and its key parts, as well as to identify the main components of the information system and approaches to solving key problems for solutions based on the message exchange mechanism. Materials and methods. The paper considers the modern statement of the problem of creating enterprise information systems for renewable information search. The author compares message brokers that are viewed as the most interesting in the framework of this statement. Results. The article substantiates the relevance of the problem of creating information systems for renewable information search and formulates the task to create a system of such kind. The author makes an overview of the architecture design of the solution at a high level of abstraction. The modular composition of the information system under consideration is discussed. Kafka is chosen and substantiated as the most suitable message broker. The nuances of technical solutions to eliminate duplicate records and filter the latest information search results are analyzed.
{"title":"ON ONE APPROACH TO IMPLEMENTATION OF INFORMATION INFRASTRUCTURE FOR RENEWABLE INFORMATION SEARCH","authors":"A. Shinkarev, Softmast-IT, Russian Federation Chelyabinsk","doi":"10.14529/CTCR210101","DOIUrl":"https://doi.org/10.14529/CTCR210101","url":null,"abstract":"Major tasks in the field of information technology that business faces today one way or another relate to data processing and search for new information in it. The methods in use include statistical methods, machine learning models, and simpler methods and models. However, all solutions aimed at information search require an information infrastructure that would meet the basic requirements for systems of this kind. The purpose of the study was to describe the main functional and technical requirements to modern systems implementing renewable information search. The author meant to form fundamental architectural proposals for the design of the system as a whole and its key parts, as well as to identify the main components of the information system and approaches to solving key problems for solutions based on the message exchange mechanism. Materials and methods. The paper considers the modern statement of the problem of creating enterprise information systems for renewable information search. The author compares message brokers that are viewed as the most interesting in the framework of this statement. Results. The article substantiates the relevance of the problem of creating information systems for renewable information search and formulates the task to create a system of such kind. The author makes an overview of the architecture design of the solution at a high level of abstraction. The modular composition of the information system under consideration is discussed. Kafka is chosen and substantiated as the most suitable message broker. The nuances of technical solutions to eliminate duplicate records and filter the latest information search results are analyzed.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122525411","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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