A. Sapozhnikov, A. A. Kuznetsov, A. S. Mavrina, G. Kulikov, Ufa Scientific, Production Enterprise “Molniya”
Currently, the methodology of system engineering is being formed, the product of which is, as usual, the creation of real objects information models, supplemented by virtual components, and on the contrary, virtual objects, supplemented by real components. For example, an information model of a technological object is a specification of real equipment, supplemented by a specification of the purchased equipment of a technological process and on the contrary. By analogy with general engineering in the field of technical activity, the metastructures of such information models must meet the V-shaped structure of the validation and verification processes. Therefore, models should be regularly checked during their life cycle to ensure that their structure and parameters correspond to real and virtual objects. At the present, there are conditions for a coordinated decision of technological objects system information modeling, taking into account their internal (physical) structure and of the digital environment the external structure. In general theoretical terms, the construction of system models is based on the problem of formal consistent description (grammatical calculus) of the structure and functional regularities of a set of objects and their connections in the subject area under study. The presented approach of the subject area system modeling under consideration is based on the classical model of a machine-building enterprise (MP) educational and production activities and a university. Aim. To apply the principles of the design approach for the formation of a corporate information system (CIS) engineering company metastructure digital twin, to explore the prospects of its application, to show the key information components in the management of subject-oriented knowledge and data, as well as the ability to scale technology in the formation of a digital environment for architecture and modern MP, improving the efficiency of business processes participants interaction. Materials and methods. The principles of the system engineering methodo¬logy (process approach, life cycle, etc.), an integrated approach and structural analysis of the design process according to the SADT (Structured Analysis and Design Technology) methodology, and the TOGAF (The Open Group Architecture Framework) methodology are used. Results. The proposed approach for system modeling the subject area is the development of works of the authors, demonstrates the possibility of scaling on the example of interaction of participants of the REC using part of the University's digital twin KIS enterprises of the real sector of the economy. The requisite of developing a knowledge management model and the increasing role of information search engines are shown. Conclusion. The proposed approach expands the application of the digital twin metastructure, allows correcting the enterprise architecture to improve the efficiency of business processes.
{"title":"An Approach to the Transformation of a Virtual Metastructure of a Digital Design Twin of a Machine-building Enterprise Corporate Information System","authors":"A. Sapozhnikov, A. A. Kuznetsov, A. S. Mavrina, G. Kulikov, Ufa Scientific, Production Enterprise “Molniya”","doi":"10.14529/CTCR210201","DOIUrl":"https://doi.org/10.14529/CTCR210201","url":null,"abstract":"Currently, the methodology of system engineering is being formed, the product of which is, as usual, the creation of real objects information models, supplemented by virtual components, and on the contrary, virtual objects, supplemented by real components. For example, an information model of a technological object is a specification of real equipment, supplemented by a specification of the purchased equipment of a technological process and on the contrary. By analogy with general engineering in the field of technical activity, the metastructures of such information models must meet the V-shaped structure of the validation and verification processes. Therefore, models should be regularly checked during their life cycle to ensure that their structure and parameters correspond to real and virtual objects. At the present, there are conditions for a coordinated decision of technological objects system information modeling, taking into account their internal (physical) structure and of the digital environment the external structure. In general theoretical terms, the construction of system models is based on the problem of formal consistent description (grammatical calculus) of the structure and functional regularities of a set of objects and their connections in the subject area under study. The presented approach of the subject area system modeling under consideration is based on the classical model of a machine-building enterprise (MP) educational and production activities and a university. Aim. To apply the principles of the design approach for the formation of a corporate information system (CIS) engineering company metastructure digital twin, to explore the prospects of its application, to show the key information components in the management of subject-oriented knowledge and data, as well as the ability to scale technology in the formation of a digital environment for architecture and modern MP, improving the efficiency of business processes participants interaction. Materials and methods. The principles of the system engineering methodo¬logy (process approach, life cycle, etc.), an integrated approach and structural analysis of the design process according to the SADT (Structured Analysis and Design Technology) methodology, and the TOGAF (The Open Group Architecture Framework) methodology are used. Results. The proposed approach for system modeling the subject area is the development of works of the authors, demonstrates the possibility of scaling on the example of interaction of participants of the REC using part of the University's digital twin KIS enterprises of the real sector of the economy. The requisite of developing a knowledge management model and the increasing role of information search engines are shown. Conclusion. The proposed approach expands the application of the digital twin metastructure, allows correcting the enterprise architecture to improve the efficiency of business processes.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"71 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":"114877481","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}
2021, vol. 21, no. 2, pp. 36–46 36 Introduction At the present stage of science and technology progress, in the context of the integration of the latest technologies, a person must have the ability to materialize his capabilities for active participation in social life. In this process, a special role is assigned to the development of learning technology, and the assessment of individual human learning abilities. In connection with the rapid development of the technical component of complex systems against the background of a decrease in the general educational level of training, ensuring effective training of specialists in complex technical systems is currently becoming an urgent task [1]. Learning disabilities can lead to poor performance in the child (student), which is unexpected when considering their potential, intelligence quotient (IQ), quality of the learning process, intact sensory system, adequate motivation, and appropriate learning conditions. It is worth noting that learning disabilities are specific in the sense that they affect certain areas of information processing (for example, reading, writing and math), in contrast to the global difficulties seen in children with intellectual disabilities. Although they have medium to high IQ, people with disabilities do not learn as quickly as others. This indicates that their problem cannot be simply explained by an impaired intellectual development, the reasons may be more complex phenomena that should be paid attention to [2]. People with learning disabilities may have deficits in one or more cognitive processes [3], including phonological processing, long-term information retrieval, attention, short-term memory, and working memory. Among several cognitive processes, working memory was found to be closely related to acaDOI: 10.14529/ctcr210204
{"title":"Information Measuring System for Correction of Working Memory Parameters in the Learning Processes","authors":"A. Petrenko, V. Kublanov","doi":"10.14529/CTCR210204","DOIUrl":"https://doi.org/10.14529/CTCR210204","url":null,"abstract":"2021, vol. 21, no. 2, pp. 36–46 36 Introduction At the present stage of science and technology progress, in the context of the integration of the latest technologies, a person must have the ability to materialize his capabilities for active participation in social life. In this process, a special role is assigned to the development of learning technology, and the assessment of individual human learning abilities. In connection with the rapid development of the technical component of complex systems against the background of a decrease in the general educational level of training, ensuring effective training of specialists in complex technical systems is currently becoming an urgent task [1]. Learning disabilities can lead to poor performance in the child (student), which is unexpected when considering their potential, intelligence quotient (IQ), quality of the learning process, intact sensory system, adequate motivation, and appropriate learning conditions. It is worth noting that learning disabilities are specific in the sense that they affect certain areas of information processing (for example, reading, writing and math), in contrast to the global difficulties seen in children with intellectual disabilities. Although they have medium to high IQ, people with disabilities do not learn as quickly as others. This indicates that their problem cannot be simply explained by an impaired intellectual development, the reasons may be more complex phenomena that should be paid attention to [2]. People with learning disabilities may have deficits in one or more cognitive processes [3], including phonological processing, long-term information retrieval, attention, short-term memory, and working memory. Among several cognitive processes, working memory was found to be closely related to acaDOI: 10.14529/ctcr210204","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":"130271182","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}
At the moment there are many open source software products and packages, and their number is increasing every day. So it can be concluded that publishing source code is becoming more and more popular in the world of software development. When publishing the source code of a software solution or software package for use in the developer community, special attention should be given to the license type – this affects which scenarios will be available for use of the published package or software solution. It is also necessary to draw up full and detailed documentation and decide on the ways to promote the published package among developers. The purpose of the study was to justify the feasibility and necessity of publishing software products, packages and libraries for their use by other developers to build their own systems and services. The author meant to describe the major open source licenses, identify their features and differences, and those situations for which this or that type of license is suitable, as well as to demonstrate the need of writing documentation and describe ways to promote and popularize published software products, packages, and libraries in the developer community. Materials and methods. The paper considers official license documents describing conditions of use, reproduction, and distribution. The author analyzes the main ways and means to promote open source software products. Results. The article substantiates the relevance of publishing and using the source code of a software product, package or library. The author describes the main provisions of the most common licenses and gives advice on choosing the type of license when publishing source code for free use. The necessity of writing documentation for the published software product is substantiated. The article also describes some of the ways to promote published packages, such as the choice of name, speaking at conferences, and publishing articles with case studies.
{"title":"Role of Open Source Software in Modern Development of Enterprise Information Systems","authors":"A. Shinkarev, Llc “Softmast-IT”","doi":"10.14529/CTCR210202","DOIUrl":"https://doi.org/10.14529/CTCR210202","url":null,"abstract":"At the moment there are many open source software products and packages, and their number is increasing every day. So it can be concluded that publishing source code is becoming more and more popular in the world of software development. When publishing the source code of a software solution or software package for use in the developer community, special attention should be given to the license type – this affects which scenarios will be available for use of the published package or software solution. It is also necessary to draw up full and detailed documentation and decide on the ways to promote the published package among developers. The purpose of the study was to justify the feasibility and necessity of publishing software products, packages and libraries for their use by other developers to build their own systems and services. The author meant to describe the major open source licenses, identify their features and differences, and those situations for which this or that type of license is suitable, as well as to demonstrate the need of writing documentation and describe ways to promote and popularize published software products, packages, and libraries in the developer community. Materials and methods. The paper considers official license documents describing conditions of use, reproduction, and distribution. The author analyzes the main ways and means to promote open source software products. Results. The article substantiates the relevance of publishing and using the source code of a software product, package or library. The author describes the main provisions of the most common licenses and gives advice on choosing the type of license when publishing source code for free use. The necessity of writing documentation for the published software product is substantiated. The article also describes some of the ways to promote published packages, such as the choice of name, speaking at conferences, and publishing articles with case studies.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"39 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":"131216723","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 technologies of agrometeorological crop forecasts (ACF), based on data on the normalized vegetation index (NDVI) are an important element of the modern agricultural industry. Aim. To establish the heuristic yield model and approaches to the development of models of regression forecasts, including the ACF predictors selection procedure by exploring satellite Moderate Imaging Spectroradiometer (MODIS) NDVI data and conduct experimental forecasting. Materials and methods. The official yield statistics of irrigated winter wheat and barley in Diwaniyah province of Iraq and the NDVI MODIS observation for 2001–2019 are used. It is proposed to choose a two-component heuristic yield model containing a yield trend, due to a relatively slow change in crop cultivation technology and a climatic component associated with fluctuations in biological productivity due to the effects of weather conditions. Results. Using of heuristic model as background, an object-oriented approach to the choice of ACF regression model and predictor selection is developed. Firstly, we use NDVI semi-quantitative connection with crop coverage and crop leaf indexes to determine NDVI evolution according with the wheat and barley growing stages. Then, it is shown that in the province level ACF, as the original predictors should choose the NDVI time-series derived on the first and second half of February for three distinct grain-producing regions of the pro-vince. Experiments have shown that the satisfactory quality of the regressive ACF of both cultures can be achieved with 2–3 different original non-collinear predictors by their combination with the last year's yield or by inclusion of linear or quadratic dependencies. Conclusion. Wheat forecast with a relative error of 10% is obtained only by special selecting of time interval to train model and by control the parameters of the auto-regressive predictor. The high quality of the barley forecasting models is due to the fact that the variability of barley yields is dominated by the climatic component. The developed object-oriented approach can be adapted to the conditions of rainfed agriculture and to forecast of yield of other crops.
{"title":"Regression Forecasts of Irrigated Winter Crop Yields Us-ing Satellite Vegetation Indexеs: Models, Predictors and Experiments","authors":"Z. Khalil, S. Abdullaev","doi":"10.14529/CTCR210203","DOIUrl":"https://doi.org/10.14529/CTCR210203","url":null,"abstract":"The technologies of agrometeorological crop forecasts (ACF), based on data on the normalized vegetation index (NDVI) are an important element of the modern agricultural industry. Aim. To establish the heuristic yield model and approaches to the development of models of regression forecasts, including the ACF predictors selection procedure by exploring satellite Moderate Imaging Spectroradiometer (MODIS) NDVI data and conduct experimental forecasting. Materials and methods. The official yield statistics of irrigated winter wheat and barley in Diwaniyah province of Iraq and the NDVI MODIS observation for 2001–2019 are used. It is proposed to choose a two-component heuristic yield model containing a yield trend, due to a relatively slow change in crop cultivation technology and a climatic component associated with fluctuations in biological productivity due to the effects of weather conditions. Results. Using of heuristic model as background, an object-oriented approach to the choice of ACF regression model and predictor selection is developed. Firstly, we use NDVI semi-quantitative connection with crop coverage and crop leaf indexes to determine NDVI evolution according with the wheat and barley growing stages. Then, it is shown that in the province level ACF, as the original predictors should choose the NDVI time-series derived on the first and second half of February for three distinct grain-producing regions of the pro-vince. Experiments have shown that the satisfactory quality of the regressive ACF of both cultures can be achieved with 2–3 different original non-collinear predictors by their combination with the last year's yield or by inclusion of linear or quadratic dependencies. Conclusion. Wheat forecast with a relative error of 10% is obtained only by special selecting of time interval to train model and by control the parameters of the auto-regressive predictor. The high quality of the barley forecasting models is due to the fact that the variability of barley yields is dominated by the climatic component. The developed object-oriented approach can be adapted to the conditions of rainfed agriculture and to forecast of yield of other crops.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"16 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":"128093826","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 banking system is a constantly evolving system. The information environment of the bank is growing, the volumes of processed information are increasing due to the growth of users and banking products. To reduce risks, banks make a financial assessment of the situation of individuals and legal entities. The aim of the work is to develop fuzzy multi-connected models designed to predict the receipt of a positive or negative decision to receive a banking product. The decision is made based on scoring. Scoring consists in assigning points for completing a certain questionnaire developed by underwriters of credit risk assessors. Based on the results of the points gained, the system automatically makes a decision on approving or refusing to issue a loan. Different banks have diffe¬rent scoring models. Purpose of the study. The paper considers the use of fuzzy models for making a decision by a bank to issue a banking product that implements the concept of “soft computing”. Methods. The use of fuzzy logic methods in credit scoring is not new, but it is not widely used in practice because it is expensive to integrate into existing systems. Each bank uses its own indicators of the client's financial reliability in scoring. Most of the indicators in banks are the same, but when deciding to issue different banking products, they have different numerical values. The data of the standard scoring methodology of a real bank were taken as the initial data. To predict a bank's decision to issue a banking product to a client, a fuzzy model was applied, production rules were proposed, and membership functions were determined. The model focused on the simultaneous processing of incoming data from multiple clients and for different banks and different scoring models. Results. The developed mathematical model for assessing the client's rating and predicting the decision to receive a banking product based on the fuzzy inference rule. The obtained results are proposed to be used in a multi-banking web-oriented system of providing banking products to corporate clients.
{"title":"Application of Fuzzy Logic to Assess Banks' Credit Risk","authors":"M. Ozerova, Nicolay Stoletovs, I. Zhigalov","doi":"10.14529/CTCR210207","DOIUrl":"https://doi.org/10.14529/CTCR210207","url":null,"abstract":"The banking system is a constantly evolving system. The information environment of the bank is growing, the volumes of processed information are increasing due to the growth of users and banking products. To reduce risks, banks make a financial assessment of the situation of individuals and legal entities. The aim of the work is to develop fuzzy multi-connected models designed to predict the receipt of a positive or negative decision to receive a banking product. The decision is made based on scoring. Scoring consists in assigning points for completing a certain questionnaire developed by underwriters of credit risk assessors. Based on the results of the points gained, the system automatically makes a decision on approving or refusing to issue a loan. Different banks have diffe¬rent scoring models. Purpose of the study. The paper considers the use of fuzzy models for making a decision by a bank to issue a banking product that implements the concept of “soft computing”. Methods. The use of fuzzy logic methods in credit scoring is not new, but it is not widely used in practice because it is expensive to integrate into existing systems. Each bank uses its own indicators of the client's financial reliability in scoring. Most of the indicators in banks are the same, but when deciding to issue different banking products, they have different numerical values. The data of the standard scoring methodology of a real bank were taken as the initial data. To predict a bank's decision to issue a banking product to a client, a fuzzy model was applied, production rules were proposed, and membership functions were determined. The model focused on the simultaneous processing of incoming data from multiple clients and for different banks and different scoring models. Results. The developed mathematical model for assessing the client's rating and predicting the decision to receive a banking product based on the fuzzy inference rule. The obtained results are proposed to be used in a multi-banking web-oriented system of providing banking products to corporate clients.","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":"132851036","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 federal program “Ecology of the Angara-Yenisei region (AYR)”. The description of the systemic synthesis of different approaches to the assessment of the program of restoration and preservation of the natural complex of the Yenisei, as the skeletal basis of the ecological-assimilation potential of AEP is given. The necessity of taking into account the uncertainty factor when evaluating large-scale environmental projects is substantiated. Purpose of the study. Show that the effects of large-scale projects affect the very scenario of economic development, in this regard, it is incorrect to use the primitive integration of an alternative (strategy) into the same scenario, it is shown that it is necessary to evaluate the “project – scenario” relationship. Materials and methods. The authors propose to use three levels of assessment for evaluating large-scale projects: macro level, meso level and micro level. This classification allows you to gradually reduce the level of uncertainty. The information obtained at the previous level of assessment is the source for the lower level. Results. At the first stage, the judgments of the experts were processed using computer products developed at the IEIE. At the second step, the National Project “Ecology of Russia” was analyzed, consisting of 11 federal projects, and a mathematical model was developed for the multicriteria problem of optimal cost management of the project, taking into account the uncertainty factor. The result of the third step was the creation of a hybrid model for assessing large-scale environmental projects from a logical-heuristic model based on expert information and an economic-mathematical model. Analogs of such models, created with the participation of the authors, work in the evaluation of large-scale railway projects. This refers to a family of semi-dynamic optimization models, which have been tested to varying degrees in solving meso-level problems, both in planned and market economies. Moreover, on the basis of one of the versions of this family, a medical-ecological-economic model was developed, and with its help, a scenario analysis of the development of the subjects of the Asian part of Russia was carried out. Conclusion. The article provides a brief description of the functionality and the need to use the appropriate mathematical and software tools as the stages of large-scale projects progress from concept to implementation.
{"title":"Program and Project Approaches to Solving Large-Scale Environmental Problems","authors":"Y. Gelrud, E. Kibalov, V. Malov","doi":"10.14529/CTCR210206","DOIUrl":"https://doi.org/10.14529/CTCR210206","url":null,"abstract":"The article discusses the federal program “Ecology of the Angara-Yenisei region (AYR)”. The description of the systemic synthesis of different approaches to the assessment of the program of restoration and preservation of the natural complex of the Yenisei, as the skeletal basis of the ecological-assimilation potential of AEP is given. The necessity of taking into account the uncertainty factor when evaluating large-scale environmental projects is substantiated. Purpose of the study. Show that the effects of large-scale projects affect the very scenario of economic development, in this regard, it is incorrect to use the primitive integration of an alternative (strategy) into the same scenario, it is shown that it is necessary to evaluate the “project – scenario” relationship. Materials and methods. The authors propose to use three levels of assessment for evaluating large-scale projects: macro level, meso level and micro level. This classification allows you to gradually reduce the level of uncertainty. The information obtained at the previous level of assessment is the source for the lower level. Results. At the first stage, the judgments of the experts were processed using computer products developed at the IEIE. At the second step, the National Project “Ecology of Russia” was analyzed, consisting of 11 federal projects, and a mathematical model was developed for the multicriteria problem of optimal cost management of the project, taking into account the uncertainty factor. The result of the third step was the creation of a hybrid model for assessing large-scale environmental projects from a logical-heuristic model based on expert information and an economic-mathematical model. Analogs of such models, created with the participation of the authors, work in the evaluation of large-scale railway projects. This refers to a family of semi-dynamic optimization models, which have been tested to varying degrees in solving meso-level problems, both in planned and market economies. Moreover, on the basis of one of the versions of this family, a medical-ecological-economic model was developed, and with its help, a scenario analysis of the development of the subjects of the Asian part of Russia was carried out. Conclusion. The article provides a brief description of the functionality and the need to use the appropriate mathematical and software tools as the stages of large-scale projects progress from concept to implementation.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"51 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":"114255922","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 the modern mining industry, an urgent technical challenge is the introduction of automatic systems that provide orientation and positioning of mining machines during the development of industrial seams. There are several basic technologies used for positioning combines underground, but their scope is limited by various mining, geological and technological factors. In the conditions of industrial development of VKMKS seams, the vast majority of them are not suitable. Aim. To develop a new approach to the problem of odometric positioning of a mining machine under the ground, as well as to create a simulation model that allows with the required degree of accuracy to determine the current and predicted distance of the miner from the start of production in conditions of noisy measurements. Materials and methods. As a technical solution to the task, the use of BLE (Bluetooth Low Energy) technology is proposed: iBeacon beacons will be dropped in the direction of the combine's movement, and a sensor attached to the rear of the loading bunker will read the distance to the beacon. For simulation modeling of uncertainty during the movement of the combine, the hypothesis of the normal distribution of the speed of movement on sections of random length was considered. When simulating the dropping of the beacon, the hypothesis was used that the scattering value of the beacon upon falling is a two-dimensional normally distributed random variable. Noisy measurements were generated by a stochastic process with increasing scatter boundaries as the sensor moved away from the beacon. The Kalman filter was used as a tool for processing measurement noise. Results. A model has been created that simulates random speeds of the combine's movement on sections of random length, and also a random spread when throwing off Blue¬tooth beacons has been simulated. To generate sensor measurements, an algorithm has been deve¬loped that takes into account the increase in the noise level of the readings when moving away from the nearest dropped beacon. To process the simulated measurements and correctly determine the distance of the beacon-sensor, the Kalman filtering algorithm was used. Conclusion. The proposed approach and the created simulation model make it possible, with a given degree of accuracy, to determine and predict the distance to the withdrawing shearer when mining industrial seams.
{"title":"Solution of the Problem of Odometric Positioning of a Mining Machine under the Ground by Using a Kalman Filter","authors":"I. Shevelev, A. Zatonskiy","doi":"10.14529/CTCR210212","DOIUrl":"https://doi.org/10.14529/CTCR210212","url":null,"abstract":"In the modern mining industry, an urgent technical challenge is the introduction of automatic systems that provide orientation and positioning of mining machines during the development of industrial seams. There are several basic technologies used for positioning combines underground, but their scope is limited by various mining, geological and technological factors. In the conditions of industrial development of VKMKS seams, the vast majority of them are not suitable. Aim. To develop a new approach to the problem of odometric positioning of a mining machine under the ground, as well as to create a simulation model that allows with the required degree of accuracy to determine the current and predicted distance of the miner from the start of production in conditions of noisy measurements. Materials and methods. As a technical solution to the task, the use of BLE (Bluetooth Low Energy) technology is proposed: iBeacon beacons will be dropped in the direction of the combine's movement, and a sensor attached to the rear of the loading bunker will read the distance to the beacon. For simulation modeling of uncertainty during the movement of the combine, the hypothesis of the normal distribution of the speed of movement on sections of random length was considered. When simulating the dropping of the beacon, the hypothesis was used that the scattering value of the beacon upon falling is a two-dimensional normally distributed random variable. Noisy measurements were generated by a stochastic process with increasing scatter boundaries as the sensor moved away from the beacon. The Kalman filter was used as a tool for processing measurement noise. Results. A model has been created that simulates random speeds of the combine's movement on sections of random length, and also a random spread when throwing off Blue¬tooth beacons has been simulated. To generate sensor measurements, an algorithm has been deve¬loped that takes into account the increase in the noise level of the readings when moving away from the nearest dropped beacon. To process the simulated measurements and correctly determine the distance of the beacon-sensor, the Kalman filtering algorithm was used. Conclusion. The proposed approach and the created simulation model make it possible, with a given degree of accuracy, to determine and predict the distance to the withdrawing shearer when mining industrial seams.","PeriodicalId":338904,"journal":{"name":"Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control & Radioelectronics","volume":"3 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":"126998305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I. Mustaev, V. Ivanov, G. Kulikov, Timur Mustaev, J. Scientific, Production Enterprise “Molniya”
The article is devoted to the presentation of the conceptual and categorical apparatus of projects for the creation of complex technical products of a new generation. It is shown that the classification of the projects under consideration creates methodological prerequisites for increasing the accuracy and quality of forecasts of time and resources. It is asserted that in the general set of innovative processes, innovative projects for creating a new generation of aviation products fall into an independent subgroup of innovative projects for creating complex technical objects of a new generation. Allocation of a separate subgroup of projects allows you to form specific methods of modeling, analysis, forecasting and management for them. Materials and methods. Justification is carried out in the form of a logical conclusion. There are four indicators that characterize the design processes. Based on the analysis of the features of the projects for the creation of aircraft products, it was concluded that it is necessary to clarify the set of criteria for projects to create complex equipment of a new generation. For this group of projects, in addition to the existing four criteria of goals, timing, resources and organization of project execution, it is proposed to add a fifth criterion – the criterion of project uncertainty. Result. It is shown that in the aggregate a group of five criteria makes it possible to single out from the whole set of innovative processes associated with the creation of new technology, a subgroup of processes for creating complex technology of a new generation. The differences between the interpretation of uncertainty adopted in the work and the interpretation of uncertainty used in the project analysis as a set of risks accompanying projects are noted. Conclusion. An integral criterion for the magnitude of sociophysical potential has been formed, combining the criteria of goals, timing, resources, organization and uncertainty of innovative projects. An example of the interpretation of the integral criterion for the case of creating a new gene¬ration aircraft product is given.
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The article is about a problem of mathematical modeling of the natural resource potential of the Perm Territory by 1st and 2nd order finite-difference models. Such models can obtain better forecasts of complex socio-economic processes in comparison with the traditionally used linear multiple regression models. A high quality model of the natural resource potential with forecast possibi¬lities is one of the necessary conditions for the effective management of the natural resources of the region in order to ensure its sustainable economic development. Purpose of work. Aim of this work is work construction of finite-difference models of a natural resource potential complex indicators and an assessment of their prognostic properties. Materials and methods. Our research is based on Perm region statistical data for the period from 2001 to 2018. A multiple linear regression model is used as a comparison base. The natural resource potential complex indicator is calculated as a weighted sum of particular criteria characterizing the natural resources of the region. First and second order finite difference models are obtained by adding autoregressive terms of the first and second orders, respectively, to the multiple linear regression model. An estimation of the unknown parameters of the equations is carried out by a modified least squares method, which preserves the signs of the coefficients with the factors the same as in the original linear model. At the same time, the selection of explanatory factors and the assessment of the quality of the models are carried out based on the accuracy of the predicted values of the studied indicator. The results of the study. Components and factors of the natural resource potential is obtained, and a procedure for constructing finite-difference models is performed for three different time intervals: 2001–2018, 2001–2008, and 2008–2018. These intervals are chooseen because changes in the methodology for generating statistical data nearly 2008. Discussion and conclusions. The number of calculated predicted values was 18, and only in 4 out of 18 cases (22,2%) their quality is worse than forecasts obtained by the linear multiple model. So proposed modification of the multiple linear regression model with the addition of autoregressive terms makes it possible to improve the forecasting quality of the complex indicator of the natural resource potential of the region and, therefore, to make more effective decisions when managing its level.
{"title":"Finite-Difference Models Application for Short-Term Forecasting of the Natural Resource Potential of the Perm Region","authors":"N. Sirotina, A. Kopoteva, A. Zatonskiy","doi":"10.14529/CTCR210215","DOIUrl":"https://doi.org/10.14529/CTCR210215","url":null,"abstract":"The article is about a problem of mathematical modeling of the natural resource potential of the Perm Territory by 1st and 2nd order finite-difference models. Such models can obtain better forecasts of complex socio-economic processes in comparison with the traditionally used linear multiple regression models. A high quality model of the natural resource potential with forecast possibi¬lities is one of the necessary conditions for the effective management of the natural resources of the region in order to ensure its sustainable economic development. Purpose of work. Aim of this work is work construction of finite-difference models of a natural resource potential complex indicators and an assessment of their prognostic properties. Materials and methods. Our research is based on Perm region statistical data for the period from 2001 to 2018. A multiple linear regression model is used as a comparison base. The natural resource potential complex indicator is calculated as a weighted sum of particular criteria characterizing the natural resources of the region. First and second order finite difference models are obtained by adding autoregressive terms of the first and second orders, respectively, to the multiple linear regression model. An estimation of the unknown parameters of the equations is carried out by a modified least squares method, which preserves the signs of the coefficients with the factors the same as in the original linear model. At the same time, the selection of explanatory factors and the assessment of the quality of the models are carried out based on the accuracy of the predicted values of the studied indicator. The results of the study. Components and factors of the natural resource potential is obtained, and a procedure for constructing finite-difference models is performed for three different time intervals: 2001–2018, 2001–2008, and 2008–2018. These intervals are chooseen because changes in the methodology for generating statistical data nearly 2008. Discussion and conclusions. The number of calculated predicted values was 18, and only in 4 out of 18 cases (22,2%) their quality is worse than forecasts obtained by the linear multiple model. So proposed modification of the multiple linear regression model with the addition of autoregressive terms makes it possible to improve the forecasting quality of the complex indicator of the natural resource potential of the region and, therefore, to make more effective decisions when managing its level.","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":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124637470","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 specifics of human resource management primarily consider the work with the personnel of enterprises and organizations, and the basic concept that existed earlier said that the human resource and personnel of enterprises and organizations are some expenses that need to be constantly repaid. Now, personnel-human resources are considered as the resources of the enterprise, and this approach is used to increase the understanding of the belonging of employees and more effective use of their competencies in the organization system. Respectively, as resources are one of the most important characteristics of the enterprise and personnel should be attributed to the resources necessary for the sustainable development and functioning of the enterprise. The general concept of human resource management provides for a set of certain beliefs and suggestions that are formed and focused in one company, so you can talk about the corporate culture, about specific factors that are accepted in the company, and are, in turn, also a certain resource. The aim of the study is to form an up-to-date approach to improving the efficiency of human resource management at an industrial enterprise. Materials and methods. As part of the materials and methods, it is necessary to note the analysis of approaches, methods and models of human resource management presented in the scientific and technical literature, as well as the results of their implementation in the practice of industrial enterprise management. Results. The article substantiates the main scientific provisions and the need to form a general strategy for personnel development, which forms employees' self-determination in the organizational structure of the enterprise and the vector of their development, and the management has a clear idea in the development of personnel management decisions. Conclusion. A vague formulation, the absence of a personnel development strategy or its inconsistency with the general strategy of the enterprise and the dynamics of the influence of external and internal factors creates some uncertainty, which further leads to the “turnover” of personnel and does not allow achieving the goals set by the management of the enterprise.
{"title":"Management of the State and Development of Human Resources of Industrial Enterprise in Accordance with the Dynamics of the Influence External and Internal Fac-tors","authors":"K. A. Korennaya, O. Loginovskiy, V. V. Zakharov","doi":"10.14529/CTCR210211","DOIUrl":"https://doi.org/10.14529/CTCR210211","url":null,"abstract":"The specifics of human resource management primarily consider the work with the personnel of enterprises and organizations, and the basic concept that existed earlier said that the human resource and personnel of enterprises and organizations are some expenses that need to be constantly repaid. Now, personnel-human resources are considered as the resources of the enterprise, and this approach is used to increase the understanding of the belonging of employees and more effective use of their competencies in the organization system. Respectively, as resources are one of the most important characteristics of the enterprise and personnel should be attributed to the resources necessary for the sustainable development and functioning of the enterprise. The general concept of human resource management provides for a set of certain beliefs and suggestions that are formed and focused in one company, so you can talk about the corporate culture, about specific factors that are accepted in the company, and are, in turn, also a certain resource. The aim of the study is to form an up-to-date approach to improving the efficiency of human resource management at an industrial enterprise. Materials and methods. As part of the materials and methods, it is necessary to note the analysis of approaches, methods and models of human resource management presented in the scientific and technical literature, as well as the results of their implementation in the practice of industrial enterprise management. Results. The article substantiates the main scientific provisions and the need to form a general strategy for personnel development, which forms employees' self-determination in the organizational structure of the enterprise and the vector of their development, and the management has a clear idea in the development of personnel management decisions. Conclusion. A vague formulation, the absence of a personnel development strategy or its inconsistency with the general strategy of the enterprise and the dynamics of the influence of external and internal factors creates some uncertainty, which further leads to the “turnover” of personnel and does not allow achieving the goals set by the management of the enterprise.","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":"116804129","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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