The problem of determining the nomenclature of the optimal set of application software (software) necessary for the implementation of educational programs in higher educational institutions (HEI) by quantifying its quality is considered. Aim. Development of a mechanism for a comprehensive assessment of the quality of software within the selected class, to simplify the task of making an informed decision when choosing a standard set of universities. Materials and methods. The proposed mechanism is based on the use of optimization methods and expert assessments. At the first stage of the mechanism, the basic requirements are clarified, taking into account the specifics of the work of the educational organization. A set of programs (alternatives) for the selected software class is formed, with the subsequent determination of the key functions characteristic of it on the basis of expert information. Further, according to the software quality indicators proposed in the work, they are evaluated for each alternative. Software quality indicators are a hierarchical three-level system (criterion, metric, evaluation element), in which the indicators of the higher levels are determined through the indicators of the lower levels. The integral assessment of the quality of an alternative is defined as the sum of the estimates of its quality criteria. At the final stage, the problem of integer linear programming is solved to determine the optimal range of alternatives within the corresponding software class, based on their conditions: maximizing the quality of an alternative contai¬ning the required set of functions, and minimizing their number. Results. The mechanism of determining the optimal alternatives for the formation of a standard set of software, in order to implement the necessary educational programs of the university, is considered. The main indicators of software quality and the mathematical apparatus for their assessment are formalized. Conclusion. The proposed mechanism allows for a quantitative assessment of the quality of software within its class, with the subsequent selection of the most rational software tools for the university. Such an asses¬sment will simplify the task of making an informed decision when forming a standard set of software necessary for implementing the requirements of federal educational standards, and in general will increase the effectiveness of the system for coordinating informatization in this direction.
{"title":"Formation of an Optimal Set of Software in Educational Organizations","authors":"A.V. Bobrovskikh, Yu. V. Bondarenko","doi":"10.14529/ctcr210401","DOIUrl":"https://doi.org/10.14529/ctcr210401","url":null,"abstract":"The problem of determining the nomenclature of the optimal set of application software (software) necessary for the implementation of educational programs in higher educational institutions (HEI) by quantifying its quality is considered. Aim. Development of a mechanism for a comprehensive assessment of the quality of software within the selected class, to simplify the task of making an informed decision when choosing a standard set of universities. Materials and methods. The proposed mechanism is based on the use of optimization methods and expert assessments. At the first stage of the mechanism, the basic requirements are clarified, taking into account the specifics of the work of the educational organization. A set of programs (alternatives) for the selected software class is formed, with the subsequent determination of the key functions characteristic of it on the basis of expert information. Further, according to the software quality indicators proposed in the work, they are evaluated for each alternative. Software quality indicators are a hierarchical three-level system (criterion, metric, evaluation element), in which the indicators of the higher levels are determined through the indicators of the lower levels. The integral assessment of the quality of an alternative is defined as the sum of the estimates of its quality criteria. At the final stage, the problem of integer linear programming is solved to determine the optimal range of alternatives within the corresponding software class, based on their conditions: maximizing the quality of an alternative contai¬ning the required set of functions, and minimizing their number. Results. The mechanism of determining the optimal alternatives for the formation of a standard set of software, in order to implement the necessary educational programs of the university, is considered. The main indicators of software quality and the mathematical apparatus for their assessment are formalized. Conclusion. The proposed mechanism allows for a quantitative assessment of the quality of software within its class, with the subsequent selection of the most rational software tools for the university. Such an asses¬sment will simplify the task of making an informed decision when forming a standard set of software necessary for implementing the requirements of federal educational standards, and in general will increase the effectiveness of the system for coordinating informatization in this direction.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129146387","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 time schedule is the main source of information in construction management. The overall efficiency and success of the project ultimately depends on its quality. At present, the concept of "technology for the construction of an object" is associated with the technological sequence of works of the object, the relationship between them, but there are practically no deep theoretical studies in the field of determining the quantitative relationships between interrelated works. The traditional approach to determining quantitative ratios based on previously adopted organizational decisions is fully justified for organizational and technological planning. But in order to organize the production of work, that is, to make the appropriate organizational decisions for the implementation of specific volumes of work, it is necessary to preliminarily determine these volumes.In the process of determination, technological requirements must be taken into account, which dictate the quantitative relationships between interrelated works. Purpose of the study. Building a model that takes into account technological dependencies in the process of performing construction and installation work. Materials and methods. The work used publications available in open sources on the organization of construction work, as well as regulations used in the Russian Federation, regulating the construction industry. Results. A new concept of construction technology of an object is given, as a quantitative and qualitative assessment of technological links between works, which determine the possibility of planning works and organizing production, depending on the state of the previous ones. This definition allows us to formulate the essence of modeling the construction technology of an object, namely, the establishment of technological links between the works and the determination of the minimum volumes on the previous one, which open up the possibility for planning a technologically interconnected volume on the subsequent work. The article has developed and presented such a model (model of object technological dependencies), which describes the technological interrelationships of works and their quantitative estimates at the beginning and end of works. The possibilities of the model of object technological dependencies in the development of management decisions from the point of view of the general functions of construction management are shown. Conclusion. The described model can successfully serve as a technological basis for planning construction and installation works, making organizational decisions, monitoring the progress of work, as well as developing management decisions in the process of construction production. With its help, you can analyze the progress and status of work in each planning period of the planned year.
{"title":"Construction Management Based on Modeling Technology of Object Construction","authors":"E. Gusev, A. Hollay","doi":"10.14529/ctcr210414","DOIUrl":"https://doi.org/10.14529/ctcr210414","url":null,"abstract":"The time schedule is the main source of information in construction management. The overall efficiency and success of the project ultimately depends on its quality. At present, the concept of \"technology for the construction of an object\" is associated with the technological sequence of works of the object, the relationship between them, but there are practically no deep theoretical studies in the field of determining the quantitative relationships between interrelated works. The traditional approach to determining quantitative ratios based on previously adopted organizational decisions is fully justified for organizational and technological planning. But in order to organize the production of work, that is, to make the appropriate organizational decisions for the implementation of specific volumes of work, it is necessary to preliminarily determine these volumes.In the process of determination, technological requirements must be taken into account, which dictate the quantitative relationships between interrelated works. Purpose of the study. Building a model that takes into account technological dependencies in the process of performing construction and installation work. Materials and methods. The work used publications available in open sources on the organization of construction work, as well as regulations used in the Russian Federation, regulating the construction industry. Results. A new concept of construction technology of an object is given, as a quantitative and qualitative assessment of technological links between works, which determine the possibility of planning works and organizing production, depending on the state of the previous ones. This definition allows us to formulate the essence of modeling the construction technology of an object, namely, the establishment of technological links between the works and the determination of the minimum volumes on the previous one, which open up the possibility for planning a technologically interconnected volume on the subsequent work. The article has developed and presented such a model (model of object technological dependencies), which describes the technological interrelationships of works and their quantitative estimates at the beginning and end of works. The possibilities of the model of object technological dependencies in the development of management decisions from the point of view of the general functions of construction management are shown. Conclusion. The described model can successfully serve as a technological basis for planning construction and installation works, making organizational decisions, monitoring the progress of work, as well as developing management decisions in the process of construction production. With its help, you can analyze the progress and status of work in each planning period of the planned year.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126841797","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}
Currently, one of the promising areas of economic development is digitalization in general and the formation of a high-quality information infrastructure in particular. This is especially true for the processes of activating public-private partnership – mutually beneficial interaction between the state and business. Due to the pandemic, investors are working with their portfolio more carefully, and it becomes more difficult to attract private funds. The purpose of the study is to analyze the information environment for PPP projects, namely, to assess its attractiveness and transparency for investors. The objectives are to analyze the distribution of concession agreements by investment volume, identify problem areas in the implementation of public-private partnership programmes of the Russian Federation, describe measures that contribute to improving the efficiency of public-private interaction. General scientific methods of analysis and synthesis were used in the work. The authors relied on such materials as current publications of domestic and foreign scientists on the research topic, materials of All-Russian and international management conferences, electronic reports of research centers and official statistics provided by government agencies. As a result, an interactive map is described rating of cities by the level of development of project activities in the field of public-private partnership. The interactive map is a powerful tool of digital transformation, unlike the annual published electronic and paper reports, more accurately reflects the situation on the PPP projects market at the current time, that is, the information remains relevant for each of the requests of each subsequent user. The article also presents the results of a comparative analysis of popular mapping programs as a definition of the most effective and sustainable platform for creating a service. By transforming the traditional information infrastructure in this way, it is possible to increase the investment attractiveness of subjects, and therefore affect the quality of life of residents of both individual cities and the whole country.
{"title":"Цифровизация процессов активизации государственно-частного партнерства как инструмент привлечения инвестиций","authors":"T.A. Averina, S. A. Barkalov, Yu.S. Lavrova","doi":"10.14529/ctcr210413","DOIUrl":"https://doi.org/10.14529/ctcr210413","url":null,"abstract":"Currently, one of the promising areas of economic development is digitalization in general and the formation of a high-quality information infrastructure in particular. This is especially true for the processes of activating public-private partnership – mutually beneficial interaction between the state and business. Due to the pandemic, investors are working with their portfolio more carefully, and it becomes more difficult to attract private funds. The purpose of the study is to analyze the information environment for PPP projects, namely, to assess its attractiveness and transparency for investors. The objectives are to analyze the distribution of concession agreements by investment volume, identify problem areas in the implementation of public-private partnership programmes of the Russian Federation, describe measures that contribute to improving the efficiency of public-private interaction. General scientific methods of analysis and synthesis were used in the work. The authors relied on such materials as current publications of domestic and foreign scientists on the research topic, materials of All-Russian and international management conferences, electronic reports of research centers and official statistics provided by government agencies. As a result, an interactive map is described rating of cities by the level of development of project activities in the field of public-private partnership. The interactive map is a powerful tool of digital transformation, unlike the annual published electronic and paper reports, more accurately reflects the situation on the PPP projects market at the current time, that is, the information remains relevant for each of the requests of each subsequent user. The article also presents the results of a comparative analysis of popular mapping programs as a definition of the most effective and sustainable platform for creating a service. By transforming the traditional information infrastructure in this way, it is possible to increase the investment attractiveness of subjects, and therefore affect the quality of life of residents of both individual cities and the whole country.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134212119","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. Antonov, V.N. Shkarov, L. Rodionova, G. Kulikov, V. A. Kolesnikov
Given the multifaceted nature of the concept of business process, we will limit ourselves to defining business process as a set of interrelated activities or works aimed at creating a certain product or service for customers. From the perspective of the BPM concept, business processes are valuable resources of an enterprise and their management is part of the system of organizational activities, i.e. the organizational system of automated enterprise business process management. Research Objective. Automation, then, is also a business process whose objectives are: the development (acquisition), implementation and operation of software and hardware designed to implement new business process capabilities (which simply were not in the manual loop), optimize and increase the speed of the existing business process, improve working conditions, reduce labor requirements, etc. There is a new direction – computer integration of information. Materials and methods. It is suggested that monitoring deviations from business process requirements be used to organise regular information-technology feedback in the of automated business process management systems of an enterprise. Results. Automation of a business process endows a business process with a new feature – the abi-lity to obtain operational data on all prescribed activities and to integrate all interacting objects of the business process in the implementation of the prescribed set of target functions. In some cases, business process automation is performed to streamline IT-related activities inside the organization. This includes the management of internal resources of the organization – financial, material, human resources, etc. Conclusion. Due to the presence of a sufficiently large number of “legacy systems”, the constantly increasing dynamics of changes in the external environment and the business proces-ses themselves, the task of ensuring the correctness of systems functioning in the absence of the current information model and the current documentation of the automated system seems relevant.
{"title":"Method of Ensuring that Deviations from Business Process Requirements Are Controlled in the Operation of the Company's Automated Systems","authors":"V. Antonov, V.N. Shkarov, L. Rodionova, G. Kulikov, V. A. Kolesnikov","doi":"10.14529/ctcr210412","DOIUrl":"https://doi.org/10.14529/ctcr210412","url":null,"abstract":"Given the multifaceted nature of the concept of business process, we will limit ourselves to defining business process as a set of interrelated activities or works aimed at creating a certain product or service for customers. From the perspective of the BPM concept, business processes are valuable resources of an enterprise and their management is part of the system of organizational activities, i.e. the organizational system of automated enterprise business process management. Research Objective. Automation, then, is also a business process whose objectives are: the development (acquisition), implementation and operation of software and hardware designed to implement new business process capabilities (which simply were not in the manual loop), optimize and increase the speed of the existing business process, improve working conditions, reduce labor requirements, etc. There is a new direction – computer integration of information. Materials and methods. It is suggested that monitoring deviations from business process requirements be used to organise regular information-technology feedback in the of automated business process management systems of an enterprise. Results. Automation of a business process endows a business process with a new feature – the abi-lity to obtain operational data on all prescribed activities and to integrate all interacting objects of the business process in the implementation of the prescribed set of target functions. In some cases, business process automation is performed to streamline IT-related activities inside the organization. This includes the management of internal resources of the organization – financial, material, human resources, etc. Conclusion. Due to the presence of a sufficiently large number of “legacy systems”, the constantly increasing dynamics of changes in the external environment and the business proces-ses themselves, the task of ensuring the correctness of systems functioning in the absence of the current information model and the current documentation of the automated system seems relevant.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133990522","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 city of Berezniki, Perm region is located on an underworked mine area. For several years, the city has been experiencing active subsidence of the soil, which provoke the destruction of buil-dings. Therefore, for several years now, the city's buildings and structures have been monitored, which makes it possible to analyze the degree of subsidence. Models of a sufficiently high order are used for an accurate analysis of the situation and forecasting. The article is about a possibility of modeling the deformation of buildings associated with soil subsidence, as a result of mine workings in the city of Berezniki. The purpose of the study is to consider the capabilities of the ‘Robust Control Toolbox’ for reducing the order of complexity of models. An example of an eight-story building included in the collection of reference examples for reducing models of linear dynamic systems is used. Materials and methods. Typical steps for solving the problem of model reduction are presented, commands and tools used to solve this problem are described. The parameters of the model in the state space are determined, which has 48 states, which are displacements or rates of change. The singular values of Hankel are used to select states that can be neglected. The model is reduced using an adaptive error boundary. Reduction using the multiplicative error bound is considered. Comparison of the results of reduction of the model by all described methods is carried out, the choice of the best method of reduction of the model is substantiated. Results. An analysis of the approximation error was performed for all the methods. The maximum relative error has been calculated. An example of calculating the order of the model for a given error value of 5% is given. The order of the result model is 34 states with the error less is then 1%, which is less than the original model. As a result, the AFCs of the original and reduced models, as well as the transient processes of the models, were constructed. The plots in the frequency domain of the models practically coincide, which indicates an adequate description of the system. Conclusions. As a result, it was shown that it is possible to reduce the size of the model by 14 orders of magnitude, goal achieved.
{"title":"Reducing the Order of Complex Models Using the Robust Control Toolbox","authors":"N. Bilfeld, S. Varlamova","doi":"10.14529/ctcr210407","DOIUrl":"https://doi.org/10.14529/ctcr210407","url":null,"abstract":"The city of Berezniki, Perm region is located on an underworked mine area. For several years, the city has been experiencing active subsidence of the soil, which provoke the destruction of buil-dings. Therefore, for several years now, the city's buildings and structures have been monitored, which makes it possible to analyze the degree of subsidence. Models of a sufficiently high order are used for an accurate analysis of the situation and forecasting. The article is about a possibility of modeling the deformation of buildings associated with soil subsidence, as a result of mine workings in the city of Berezniki. The purpose of the study is to consider the capabilities of the ‘Robust Control Toolbox’ for reducing the order of complexity of models. An example of an eight-story building included in the collection of reference examples for reducing models of linear dynamic systems is used. Materials and methods. Typical steps for solving the problem of model reduction are presented, commands and tools used to solve this problem are described. The parameters of the model in the state space are determined, which has 48 states, which are displacements or rates of change. The singular values of Hankel are used to select states that can be neglected. The model is reduced using an adaptive error boundary. Reduction using the multiplicative error bound is considered. Comparison of the results of reduction of the model by all described methods is carried out, the choice of the best method of reduction of the model is substantiated. Results. An analysis of the approximation error was performed for all the methods. The maximum relative error has been calculated. An example of calculating the order of the model for a given error value of 5% is given. The order of the result model is 34 states with the error less is then 1%, which is less than the original model. As a result, the AFCs of the original and reduced models, as well as the transient processes of the models, were constructed. The plots in the frequency domain of the models practically coincide, which indicates an adequate description of the system. Conclusions. As a result, it was shown that it is possible to reduce the size of the model by 14 orders of magnitude, goal achieved.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129666272","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 issues of improving the efficiency of decision support activities on a relatively large amount of information. The research relevance is associated with the increasing complexity of control objects, which leads to a decrease in the efficiency of decision-making based on the personal experience of decision-makers, up to complete impossibility. The purpose of the ar-ticle is to analyze the problems faced by decision-makers and the creation of methods to improve the effectiveness of decision-making in typical situations. The article examines the main compo-nents of the intelligent subsystem of the decision support system, which require the use of analytical tools, and also forms the methods interaction structure necessary for the effective formation of sce-narios of information support for decision making. To achieve the goals, a decision support method based on an intelligent component was used, which is aimed at creating an effective infrastructure to sup-port decision-making; methods of identification and categorization, designed to implement the most accurate and correct comparison of the characteristics (state) of the observed situation and the characteristics of a typical situation stored in the knowledge base; correlation methods aimed at finding dependencies between the characteristics of situations and scenarios to solve problems associated with these situa-tions; a method for constructing subject qualimetry, used to form a predictive model to assess the degree of compliance of the selected scenario for solving the current situation. As a result, it was de-termined that an important aspect of decision-making in typical situations is the most accurate identification of the state of the situation, the choice of the best scenario for implementing the solu-tion for this situation and the analysis of the consequences of the selected set of measures. To solve these problems, a method for identifying a situation, a method for finding solution scenarios and a qualimetric method for predicting the effectiveness of the selected scenario have been formed. The article concludes that decision-making activities based on the accumulated experience can be im-proved by using the proposed methods and implementing a decision support system with an intelli-gent component.
{"title":"TRANSFORMATION OF THE DECISION SUPPORT SYSTEM MODEL FOR STANDARD SITUATIONS USING INTELLECTUAL AND ANALYTICAL METHODS","authors":"V. Antonov, K. Konev, G. Kulikov, J. Scientific","doi":"10.14529/ctcr210302","DOIUrl":"https://doi.org/10.14529/ctcr210302","url":null,"abstract":"The article discusses the issues of improving the efficiency of decision support activities on a relatively large amount of information. The research relevance is associated with the increasing complexity of control objects, which leads to a decrease in the efficiency of decision-making based on the personal experience of decision-makers, up to complete impossibility. The purpose of the ar-ticle is to analyze the problems faced by decision-makers and the creation of methods to improve the effectiveness of decision-making in typical situations. The article examines the main compo-nents of the intelligent subsystem of the decision support system, which require the use of analytical tools, and also forms the methods interaction structure necessary for the effective formation of sce-narios of information support for decision making. To achieve the goals, a decision support method based on an intelligent component was used, which is aimed at creating an effective infrastructure to sup-port decision-making; methods of identification and categorization, designed to implement the most accurate and correct comparison of the characteristics (state) of the observed situation and the characteristics of a typical situation stored in the knowledge base; correlation methods aimed at finding dependencies between the characteristics of situations and scenarios to solve problems associated with these situa-tions; a method for constructing subject qualimetry, used to form a predictive model to assess the degree of compliance of the selected scenario for solving the current situation. As a result, it was de-termined that an important aspect of decision-making in typical situations is the most accurate identification of the state of the situation, the choice of the best scenario for implementing the solu-tion for this situation and the analysis of the consequences of the selected set of measures. To solve these problems, a method for identifying a situation, a method for finding solution scenarios and a qualimetric method for predicting the effectiveness of the selected scenario have been formed. The article concludes that decision-making activities based on the accumulated experience can be im-proved by using the proposed methods and implementing a decision support system with an intelli-gent component.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123427011","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
The article considers some aspects of the mentoring process management, namely incentives for mentors. To that end, we consider in detail a model for staff training evaluation, which takes place in the form of mentoring, one of the most popular forms of on-the-job training. The aim of the present study is to develop an effective incentive model for mentors, which aims to improve the effectiveness of their performance management, as this model involves not only the establishment of an effective system of allowances and additional payments to mentors, but also an evaluation system of duties performed by staff. Materials and methods. It is planned to assess the training in the following areas: corporate competencies; professional competencies and implementation of an established plan. For this purpose it is proposed to use the “360 degrees” method, direct inspection and other methods of collecting information depending on the measured indicators. Following the evaluation process it is expected to obtain a comprehensive mentoring assessment, which can be used to adjust the mentoring procedure, a comprehensive assessment of a student, which demon-strates learning outcomes as well as a comprehensive assessment of a mentor, which could be used to create an incentive model for mentors. In order to develop an effective mentoring system it is proposed to make the size of mentoring allowance dynamic, i.e. directly dependent on the results of mentoring – comprehensive assessment of a mentor. It is proposed to build a comprehensive as-sessment of mentoring procedure by means of additive convolution of criteria. Results. Therefore, the essence of mentor bonus dynamism strategy includes the following aspects. First, the mentor will receive a fixed compensatory bonus for the entire mentoring period. Second, the mentor will receive an incentive bonus. It is proposed to determine the amount of the bonus as a percentage of the mentor's salary calculated as a multifaceted evaluation of the mentoring process that will directly depend on the mentor's contribution to the mentoring process. Conclusion. It is expected that the implementation of the proposed model in the practice of mentoring procedure management will in-crease its effectiveness and reduce the formality, which we see in practice today.
{"title":"A MODEL FOR THE ENHANCEMENT OF EFFECTIVENESS OF ON-THE-JOB TRAINING PROCESS","authors":"O. Perevalova, S. Barkalov, N. Kalinina, D. N. Batrakova","doi":"10.14529/ctcr210310","DOIUrl":"https://doi.org/10.14529/ctcr210310","url":null,"abstract":"The article considers some aspects of the mentoring process management, namely incentives for mentors. To that end, we consider in detail a model for staff training evaluation, which takes place in the form of mentoring, one of the most popular forms of on-the-job training. The aim of the present study is to develop an effective incentive model for mentors, which aims to improve the effectiveness of their performance management, as this model involves not only the establishment of an effective system of allowances and additional payments to mentors, but also an evaluation system of duties performed by staff. Materials and methods. It is planned to assess the training in the following areas: corporate competencies; professional competencies and implementation of an established plan. For this purpose it is proposed to use the “360 degrees” method, direct inspection and other methods of collecting information depending on the measured indicators. Following the evaluation process it is expected to obtain a comprehensive mentoring assessment, which can be used to adjust the mentoring procedure, a comprehensive assessment of a student, which demon-strates learning outcomes as well as a comprehensive assessment of a mentor, which could be used to create an incentive model for mentors. In order to develop an effective mentoring system it is proposed to make the size of mentoring allowance dynamic, i.e. directly dependent on the results of mentoring – comprehensive assessment of a mentor. It is proposed to build a comprehensive as-sessment of mentoring procedure by means of additive convolution of criteria. Results. Therefore, the essence of mentor bonus dynamism strategy includes the following aspects. First, the mentor will receive a fixed compensatory bonus for the entire mentoring period. Second, the mentor will receive an incentive bonus. It is proposed to determine the amount of the bonus as a percentage of the mentor's salary calculated as a multifaceted evaluation of the mentoring process that will directly depend on the mentor's contribution to the mentoring process. Conclusion. It is expected that the implementation of the proposed model in the practice of mentoring procedure management will in-crease its effectiveness and reduce the formality, which we see in practice today.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122849791","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}
Time series, i.e. data collected at various times. The data collection segments may differ de-pending on the task. Time series are used for decision making. Time series analysis allows you to get some result that will determine the format of the decision. Time series analysis was carried out in very ancient times, for example, various calendars became a consequence of the analysis. Later, time series analysis was applied to study and forecast economic, social and other systems. Time se-ries appeared a long time ago. Once upon a time, ancient Babylonian astronomers, studying the po-sition of the stars, discovered the frequency of eclipses, which allowed them to predict their appearance in the future. Later, the analysis of time series, in a similar way, led to the creation of various calen-dars, for example, harvest calendars. In the future, in addition to natural areas, social and economic ones were added. Aim. Search for classification patterns of time series, allowing to understand whether it is possible to apply the ARIMA model for their short-term (3 counts) forecast. Materials and methods. Special software with ARIMA implementation and all need services is made. We examined 59 data sets with a short length and step equal a year, less than 20 values in the paper. The data was processed using Python libraries: Statsmodels and Pandas. The Dickey – Fuller test was used to de-termine the stationarity of the series. The stationarity of the time series allows for better forecasting. The Akaike information criterion was used to select the best model. Recommendations for a rea-sonable selection of parameters for adjusting ARIMA models are obtained. The dependence of the settings on the category of annual data set is shown. Conclusion. After processing the data, four categories (patterns) of year data sets were identified. Depending on the category ranges of parame-ters were selected for tuning ARIMA models. The suggested ranges will allow to determine the starting parameters for exploring similar datasets. Recommendations for improving the quality of post-forecast and forecast using the ARIMA model by adjusting the settings are given.
{"title":"STUDY OF THE INFLUENCE OF CHANGING THE PARAMETERS OF THE ARIMA MODEL ON THE QUALITY OF THE FORECAST FOR SHORT DATA SETS","authors":"M. Fel’ker, V. Chesnov","doi":"10.14529/ctcr210304","DOIUrl":"https://doi.org/10.14529/ctcr210304","url":null,"abstract":"Time series, i.e. data collected at various times. The data collection segments may differ de-pending on the task. Time series are used for decision making. Time series analysis allows you to get some result that will determine the format of the decision. Time series analysis was carried out in very ancient times, for example, various calendars became a consequence of the analysis. Later, time series analysis was applied to study and forecast economic, social and other systems. Time se-ries appeared a long time ago. Once upon a time, ancient Babylonian astronomers, studying the po-sition of the stars, discovered the frequency of eclipses, which allowed them to predict their appearance in the future. Later, the analysis of time series, in a similar way, led to the creation of various calen-dars, for example, harvest calendars. In the future, in addition to natural areas, social and economic ones were added. Aim. Search for classification patterns of time series, allowing to understand whether it is possible to apply the ARIMA model for their short-term (3 counts) forecast. Materials and methods. Special software with ARIMA implementation and all need services is made. We examined 59 data sets with a short length and step equal a year, less than 20 values in the paper. The data was processed using Python libraries: Statsmodels and Pandas. The Dickey – Fuller test was used to de-termine the stationarity of the series. The stationarity of the time series allows for better forecasting. The Akaike information criterion was used to select the best model. Recommendations for a rea-sonable selection of parameters for adjusting ARIMA models are obtained. The dependence of the settings on the category of annual data set is shown. Conclusion. After processing the data, four categories (patterns) of year data sets were identified. Depending on the category ranges of parame-ters were selected for tuning ARIMA models. The suggested ranges will allow to determine the starting parameters for exploring similar datasets. Recommendations for improving the quality of post-forecast and forecast using the ARIMA model by adjusting the settings are given.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124468645","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. Aksenov, Kaluga Russian Federation Typhoon Jsc, A. Larin, N. Samburov
The issues of designing anechoic chambers for antenna measurements of a certain type – em-bedded in the premises of industrial purpose are considered. The advantage of such chambers is a positive economic effect associated with both the reduction of costs for construction work, and with the possibility of joint use of auxiliary room systems in the process of operation. Known ap-proaches to the design of chambers for antenna measurements are based either on ensuring a min-imum level of aesthetics, or minimum overall dimensions. In this case, it is necessary to provide a compromise between the parameters of anechoic stability and overall dimensions while ensuring the technological accessibility of the entire usable area of the room. Aim. The aim of the work is to justify the form and geometric dimensions of the chamber. Research Methods. In the process of re-search used the methods of geometric optics. When justifying the form of the chamber, practical aspects were taken into account, namely, the common form of industrial premises and workshops, as well as the possibility of effective use of common radio-absorbing materials to cover the cham-ber from the inside. In the process of finding the optimal effective geometric dimensions, the quality functionals were assumed to be aechoic and dimensional parameters. Results. A chamber in the form of a rectangular trapezoid is optimal for embedding in industrial premises. The expressions for the geometric dimensions of the chamber, ensuring the absence of first- and second-order reflections in the working area, have been found. The optimum value of the deflection angle of the back wall of the anechoic chamber was found. Conclusion. Based on the above technique, an anechoic chamber of a compact range for antenna measurements has been realized.
{"title":"AN ANECHOIC CHAMBER BUILT INTO INDUSTRIAL ROOMS","authors":"A. Aksenov, Kaluga Russian Federation Typhoon Jsc, A. Larin, N. Samburov","doi":"10.14529/ctcr210307","DOIUrl":"https://doi.org/10.14529/ctcr210307","url":null,"abstract":"The issues of designing anechoic chambers for antenna measurements of a certain type – em-bedded in the premises of industrial purpose are considered. The advantage of such chambers is a positive economic effect associated with both the reduction of costs for construction work, and with the possibility of joint use of auxiliary room systems in the process of operation. Known ap-proaches to the design of chambers for antenna measurements are based either on ensuring a min-imum level of aesthetics, or minimum overall dimensions. In this case, it is necessary to provide a compromise between the parameters of anechoic stability and overall dimensions while ensuring the technological accessibility of the entire usable area of the room. Aim. The aim of the work is to justify the form and geometric dimensions of the chamber. Research Methods. In the process of re-search used the methods of geometric optics. When justifying the form of the chamber, practical aspects were taken into account, namely, the common form of industrial premises and workshops, as well as the possibility of effective use of common radio-absorbing materials to cover the cham-ber from the inside. In the process of finding the optimal effective geometric dimensions, the quality functionals were assumed to be aechoic and dimensional parameters. Results. A chamber in the form of a rectangular trapezoid is optimal for embedding in industrial premises. The expressions for the geometric dimensions of the chamber, ensuring the absence of first- and second-order reflections in the working area, have been found. The optimum value of the deflection angle of the back wall of the anechoic chamber was found. Conclusion. Based on the above technique, an anechoic chamber of a compact range for antenna measurements has been realized.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115073462","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 deals with the problems of assessing the macroeconomic efficiency of large-scale projects at the stage that is commonly called pre-investment. The necessity of taking into account the factor of radical uncertainty when evaluating large-scale railway projects is justified. The pur-pose of the study. To show that the effects generated by large-scale projects affect the scenario of the development of the economy hosting the project. In this problematic situation, a methodology is proposed for evaluating and identifying the most preferable project, taking into account the factors of radical (improbability) uncertainty. Materials and methods. The criteria for evaluating projects at three levels are analyzed: macro-, meso- and micro; at the same time, the tools of applied non-system analysis are used, combining logical-heuristic and economic-mathematical models of mak-ing complex project decisions. Results. A structural evaluation model has been developed, which is a hybrid consisting of two blocks. The first block is a logical-heuristic submodel for evaluating large-scale investment projects, the second block is an economic-mathematical submodel that displays the external environment of projects. The models interact at the pre-investment stage of the project lifecycle in the mode of a strategic game at the macro level. The first as an information base is based on expert estimates of the costs and results of projects that claim to be implemented in the long term, the second-mainly on statistical information from the country and regions. The im-pact of a new large-scale investment project on the model of the Russian economy is evaluated and the positive or negative impact of each (from among the considered ones) on the target function of the economic model is identified. Conclusion. The article comments on the results of experimental calculations using a hybrid model and, using the example of railway transport, formulates recom-mendations for its use in the development of substantiating materials for large-scale projects of fe-deral significance.
{"title":"ASSESSMENT OF THE STRATEGIC EFFICIENCY OF LARGE-SCALE INFRASTRUCTURE PROJECTS IN A SITUATION OF UNCERTAINTY: A PROJECT APPROACH","authors":"Y. Gelrud, E. Kibalov","doi":"10.14529/ctcr210311","DOIUrl":"https://doi.org/10.14529/ctcr210311","url":null,"abstract":"The article deals with the problems of assessing the macroeconomic efficiency of large-scale projects at the stage that is commonly called pre-investment. The necessity of taking into account the factor of radical uncertainty when evaluating large-scale railway projects is justified. The pur-pose of the study. To show that the effects generated by large-scale projects affect the scenario of the development of the economy hosting the project. In this problematic situation, a methodology is proposed for evaluating and identifying the most preferable project, taking into account the factors of radical (improbability) uncertainty. Materials and methods. The criteria for evaluating projects at three levels are analyzed: macro-, meso- and micro; at the same time, the tools of applied non-system analysis are used, combining logical-heuristic and economic-mathematical models of mak-ing complex project decisions. Results. A structural evaluation model has been developed, which is a hybrid consisting of two blocks. The first block is a logical-heuristic submodel for evaluating large-scale investment projects, the second block is an economic-mathematical submodel that displays the external environment of projects. The models interact at the pre-investment stage of the project lifecycle in the mode of a strategic game at the macro level. The first as an information base is based on expert estimates of the costs and results of projects that claim to be implemented in the long term, the second-mainly on statistical information from the country and regions. The im-pact of a new large-scale investment project on the model of the Russian economy is evaluated and the positive or negative impact of each (from among the considered ones) on the target function of the economic model is identified. Conclusion. The article comments on the results of experimental calculations using a hybrid model and, using the example of railway transport, formulates recom-mendations for its use in the development of substantiating materials for large-scale projects of fe-deral significance.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132054475","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：