Pub Date : 2023-12-24DOI: 10.17212/2782-2001-2023-4-23-34
D. P. Verhovod, V. V. Voronoy, Sergey Y. Pobedinsky
A high pace of modern medical technologies development in the world requires the introduction of intelligent robotic equipment into Russian practice, which allows us to take the healthcare sector to a new level. Due to the progression of diseases of the patients’ musculoskeletal system and an increase in spinal injuries, rehabilitation equipment is becoming increasingly important. In addition, the development of domestic robotic rehabilitation complexes that match or exceed the functionality of foreign analogues is currently required. A fairly new area of modern medicine is a clinical analysis of biomechanical parameters and study of gait pathology using biomechanical models. Currently, to build parametric models, motion capture methods are being developed that make it possible to reconstruct and visualize the movement of human limbs, as well as to estimate various dynamic quantities, for example, motor forces or ground reaction force. The results obtained are used in rehabilitation complexes, video games, sports simulators, etc., where input data are user parameters recorded in real time. The results obtained allow us to conclude that it is necessary to further improve the characteristics of the rehabilitation complex by making changes to the mechanical design of the complex, as well as adjusting the mathematical model of the control system with additional calculations and modeling of the system structure. The developed experimental model of a mechatronic rehabilitation complex is based on the principles of subordinate regulation by actuators using PD regulators. And the desired coordinates of the movement of a person’s leg, obtained using a motion capture complex, are used as a driving signal for the control system.
{"title":"Development of a control and unit positioning system for a mechatronic rehabilitation complex","authors":"D. P. Verhovod, V. V. Voronoy, Sergey Y. Pobedinsky","doi":"10.17212/2782-2001-2023-4-23-34","DOIUrl":"https://doi.org/10.17212/2782-2001-2023-4-23-34","url":null,"abstract":"A high pace of modern medical technologies development in the world requires the introduction of intelligent robotic equipment into Russian practice, which allows us to take the healthcare sector to a new level. Due to the progression of diseases of the patients’ musculoskeletal system and an increase in spinal injuries, rehabilitation equipment is becoming increasingly important. In addition, the development of domestic robotic rehabilitation complexes that match or exceed the functionality of foreign analogues is currently required. A fairly new area of modern medicine is a clinical analysis of biomechanical parameters and study of gait pathology using biomechanical models. Currently, to build parametric models, motion capture methods are being developed that make it possible to reconstruct and visualize the movement of human limbs, as well as to estimate various dynamic quantities, for example, motor forces or ground reaction force. The results obtained are used in rehabilitation complexes, video games, sports simulators, etc., where input data are user parameters recorded in real time. The results obtained allow us to conclude that it is necessary to further improve the characteristics of the rehabilitation complex by making changes to the mechanical design of the complex, as well as adjusting the mathematical model of the control system with additional calculations and modeling of the system structure. The developed experimental model of a mechatronic rehabilitation complex is based on the principles of subordinate regulation by actuators using PD regulators. And the desired coordinates of the movement of a person’s leg, obtained using a motion capture complex, are used as a driving signal for the control system.","PeriodicalId":292298,"journal":{"name":"Analysis and data processing systems","volume":"2020 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139160048","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}
Pub Date : 2023-12-24DOI: 10.17212/2782-2001-2023-4-7-22
Alexandr O. Bulygin
The article presents a method for searching characteristics of eye movements that correlate with fatigue. There are many characteristics of eye movements to determine fatigue. All these characteristics are calculated from such basic concepts of gaze movement as fixation and saccade. Characteristics can also be divided by the types of physical events on which they are based. It is possible to distinguish such characteristics as speed, time, quantity, size, percentage, frequency and ratio characteristics. To search for correlations between eye movement characteristics and fatigue, a dataset of eye movements and the results of the VAS-F fatigue questionnaire were analyzed in 6 subjects. The data set consists of operator parameters such as eye movements, scene camera image and gaze direction. To determine the level of fatigue, the participant completed the VAS-F questionnaire. This questionnaire consists of 18 questions about the degree of fatigue or enrgetic of a person. Each record from the data set corresponds to a questionnaire result. 60 characteristics of eye movements and the corresponding VAS-F test values were analyzed and the correlation between them was calculated. The characteristics of eye movements were then sorted in descending order of the obtained correlation values. For further analysis, the first 20 characteristics with the highest correlation were selected from each participant. A search was then made for characteristics that were found in two-thirds or more of the participants among the first 20 characteristics. As a result, 10 characteristics of eye movements were found that correlated with VAS-F test scores for each participant.
{"title":"Analysis of operator eye movement characteristics to determine the degree of fatigue","authors":"Alexandr O. Bulygin","doi":"10.17212/2782-2001-2023-4-7-22","DOIUrl":"https://doi.org/10.17212/2782-2001-2023-4-7-22","url":null,"abstract":"The article presents a method for searching characteristics of eye movements that correlate with fatigue. There are many characteristics of eye movements to determine fatigue. All these characteristics are calculated from such basic concepts of gaze movement as fixation and saccade. Characteristics can also be divided by the types of physical events on which they are based. It is possible to distinguish such characteristics as speed, time, quantity, size, percentage, frequency and ratio characteristics. To search for correlations between eye movement characteristics and fatigue, a dataset of eye movements and the results of the VAS-F fatigue questionnaire were analyzed in 6 subjects. The data set consists of operator parameters such as eye movements, scene camera image and gaze direction. To determine the level of fatigue, the participant completed the VAS-F questionnaire. This questionnaire consists of 18 questions about the degree of fatigue or enrgetic of a person. Each record from the data set corresponds to a questionnaire result. 60 characteristics of eye movements and the corresponding VAS-F test values were analyzed and the correlation between them was calculated. The characteristics of eye movements were then sorted in descending order of the obtained correlation values. For further analysis, the first 20 characteristics with the highest correlation were selected from each participant. A search was then made for characteristics that were found in two-thirds or more of the participants among the first 20 characteristics. As a result, 10 characteristics of eye movements were found that correlated with VAS-F test scores for each participant.","PeriodicalId":292298,"journal":{"name":"Analysis and data processing systems","volume":"2013 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139160213","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}
Pub Date : 2023-12-24DOI: 10.17212/2782-2001-2023-4-35-54
Vladislav I. Zinov, Vadim M. Kartak, Yuliya I. Valiakhmetova
Planning the supporting structures of a building is a problem of an extremely wide choice. At the same time, the estimation of one option by the finite element method takes too much time to apply automated and decision support tools. Therefore, it is proposed to identify a quickly calculated estimation of the supports plan which would allow comparing two support plans correctly in terms of potential deformations. To achieve this, the existing heuristic approaches modeling the functional relationship between the plan of supports and the resulting deformations were analyzed. In this paper spans are taken as the basis for the estimation. Further, the problem of spans determining is formulated which is reduced to the problem of the geometric coverage of multicoherent orthogonal polygon. The objective function is the maximization of the correlation between the detected estimate and the actual calculated values of deformations. To determine the spans on the floor area, a new algorithm based on the sweep line algorithm is proposed which consists of three steps: partitioning the floor area, determining the proximity of partitioned sections and assembling sections into spans. In order to determine the main estimate for a span-support topology, a single span estimation is derived based on three parameters: span area, aspect ratio and topology of supports that bound the span. Since the last parameter is qualitative, an additional analysis of quantitative parameters that can correctly describe it was carried out. The analysis criterion was the correlation with the calculated deformations in the span. The parameter of the maximum perimeter distance between the supports was recognized as the best parameter. The best function for estimating the spans was selected. In addition, various approaches to assembling spans from partition sections at the last step of the algorithm were analyzed.
{"title":"An algorithm for estimating the deformation of floor slabs based on the span-support topology of the building","authors":"Vladislav I. Zinov, Vadim M. Kartak, Yuliya I. Valiakhmetova","doi":"10.17212/2782-2001-2023-4-35-54","DOIUrl":"https://doi.org/10.17212/2782-2001-2023-4-35-54","url":null,"abstract":"Planning the supporting structures of a building is a problem of an extremely wide choice. At the same time, the estimation of one option by the finite element method takes too much time to apply automated and decision support tools. Therefore, it is proposed to identify a quickly calculated estimation of the supports plan which would allow comparing two support plans correctly in terms of potential deformations. To achieve this, the existing heuristic approaches modeling the functional relationship between the plan of supports and the resulting deformations were analyzed. In this paper spans are taken as the basis for the estimation. Further, the problem of spans determining is formulated which is reduced to the problem of the geometric coverage of multicoherent orthogonal polygon. The objective function is the maximization of the correlation between the detected estimate and the actual calculated values of deformations. To determine the spans on the floor area, a new algorithm based on the sweep line algorithm is proposed which consists of three steps: partitioning the floor area, determining the proximity of partitioned sections and assembling sections into spans. In order to determine the main estimate for a span-support topology, a single span estimation is derived based on three parameters: span area, aspect ratio and topology of supports that bound the span. Since the last parameter is qualitative, an additional analysis of quantitative parameters that can correctly describe it was carried out. The analysis criterion was the correlation with the calculated deformations in the span. The parameter of the maximum perimeter distance between the supports was recognized as the best parameter. The best function for estimating the spans was selected. In addition, various approaches to assembling spans from partition sections at the last step of the algorithm were analyzed.","PeriodicalId":292298,"journal":{"name":"Analysis and data processing systems","volume":"278 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139161015","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}
Pub Date : 2023-12-24DOI: 10.17212/2782-2001-2023-4-69-84
I. Reva, M. Medvedev, Inna V. Vorontsova
Content filtering in the context of cybersecurity and trusted environments is an important tactic used to ensure network security and functionality. It works by restricting access to certain websites, emails, files or other content that may contain harmful elements or pose a significant risk of infection. Content filtering ensures the security not only of an individual user's data, but also of an entire network of organizations and institutions, helping to minimize the risk of malicious security breaches. The study of methods for determining the type of content in incoming traffic is a relevant and important area in the field of information security and network analytics. In today's Internet space, a significant amount of data is transmitted through networks, and one of the key tasks is the classification of this traffic to ensure security and effective network management. Methods for determining the type of content in incoming traffic are a set of algorithms and approaches that allow you to automatically determine what type of data is transmitted over the network. In the course of studying the problems of methods for determining the type of content in incoming traffic, data on network traffic is collected, a data set is selected for training the model, we consider classifier algorithms and focus on metrics for assessing classification efficiency. The results of the study can be used to create effective systems for detecting malicious or unwanted content, filtering data, or optimizing the operation of network resources. The study of methods for determining the type of content in incoming traffic is of practical importance and can be applied in various fields, including information security, network analytics, monitoring of network resources and optimization of network processes.
{"title":"Study of the issues of methods for determining the type of content in incoming traffic","authors":"I. Reva, M. Medvedev, Inna V. Vorontsova","doi":"10.17212/2782-2001-2023-4-69-84","DOIUrl":"https://doi.org/10.17212/2782-2001-2023-4-69-84","url":null,"abstract":"Content filtering in the context of cybersecurity and trusted environments is an important tactic used to ensure network security and functionality. It works by restricting access to certain websites, emails, files or other content that may contain harmful elements or pose a significant risk of infection. Content filtering ensures the security not only of an individual user's data, but also of an entire network of organizations and institutions, helping to minimize the risk of malicious security breaches. The study of methods for determining the type of content in incoming traffic is a relevant and important area in the field of information security and network analytics. In today's Internet space, a significant amount of data is transmitted through networks, and one of the key tasks is the classification of this traffic to ensure security and effective network management. Methods for determining the type of content in incoming traffic are a set of algorithms and approaches that allow you to automatically determine what type of data is transmitted over the network. In the course of studying the problems of methods for determining the type of content in incoming traffic, data on network traffic is collected, a data set is selected for training the model, we consider classifier algorithms and focus on metrics for assessing classification efficiency. The results of the study can be used to create effective systems for detecting malicious or unwanted content, filtering data, or optimizing the operation of network resources. The study of methods for determining the type of content in incoming traffic is of practical importance and can be applied in various fields, including information security, network analytics, monitoring of network resources and optimization of network processes.","PeriodicalId":292298,"journal":{"name":"Analysis and data processing systems","volume":"641 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139160556","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}
Pub Date : 2023-12-24DOI: 10.17212/2782-2001-2023-4-55-68
Dmitry S. Lukin, Evgeny Yu. Kosenko
Currently, the robotization of various spheres of human life is moving at a high pace. Robots of various types and purposes are used everywhere, from storage robots moving along a given route or markers to high-tech robotic complexes that solve tasks with minimal operator participation. Robotics technology continues to evolve, and its potential for automation and solving various tasks is constantly expanding. One of the key issues of increasing the autonomy of mobile robots is the development of new and improvement of the existing approaches to controlling the movement of robots, in particular to path planning. In this paper, the task of path planning is solved using artificial neural networks and deep machine learning with reinforcement, in which the robot learns to choose actions in the environment in such a way as to maximize some numerical reward or achieve a certain goal. This approach allows you to plan the trajectory of movement by modeling the environment, the behavior of the robot, as well as the interaction between them. The reinforcement learning method provides an effective way for robots and autonomous systems to learn to adapt to diverse conditions and perform path planning tasks. In this paper, the possibility of solving the problem of planning movement to a given point using the method of approximate strategy optimization and the "Action – Criticism" method is investigated. The results obtained show the possibility of solving the task when learning on a relatively small number of episodes. The proposed approach can be used to control ground-based robotic systems for various purposes.
{"title":"A neural network method for path planning in a two-dimensional space","authors":"Dmitry S. Lukin, Evgeny Yu. Kosenko","doi":"10.17212/2782-2001-2023-4-55-68","DOIUrl":"https://doi.org/10.17212/2782-2001-2023-4-55-68","url":null,"abstract":"Currently, the robotization of various spheres of human life is moving at a high pace. Robots of various types and purposes are used everywhere, from storage robots moving along a given route or markers to high-tech robotic complexes that solve tasks with minimal operator participation. Robotics technology continues to evolve, and its potential for automation and solving various tasks is constantly expanding. One of the key issues of increasing the autonomy of mobile robots is the development of new and improvement of the existing approaches to controlling the movement of robots, in particular to path planning. In this paper, the task of path planning is solved using artificial neural networks and deep machine learning with reinforcement, in which the robot learns to choose actions in the environment in such a way as to maximize some numerical reward or achieve a certain goal. This approach allows you to plan the trajectory of movement by modeling the environment, the behavior of the robot, as well as the interaction between them. The reinforcement learning method provides an effective way for robots and autonomous systems to learn to adapt to diverse conditions and perform path planning tasks. In this paper, the possibility of solving the problem of planning movement to a given point using the method of approximate strategy optimization and the \"Action – Criticism\" method is investigated. The results obtained show the possibility of solving the task when learning on a relatively small number of episodes. The proposed approach can be used to control ground-based robotic systems for various purposes.","PeriodicalId":292298,"journal":{"name":"Analysis and data processing systems","volume":"264 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139161056","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}
Pub Date : 2023-12-24DOI: 10.17212/2782-2001-2023-4-97-129
A V Edelev, Natalya M. Beresneva, Roman O. Kostromin
The article considers one of the most difficult tasks of studying the resilience of energy infrastructures – finding effective combinations of measures to increase resilience. To solve this problem, the article describes an approach that considers it as a problem of structural-parametric optimization of energy infrastructures, which is built according to a two- or three-level scheme. The approach described in the article adds another layer to the middle of the above scheme, which checks the efficiency of the selected equipment under extreme conditions created by a given set of large disturbances. The main disadvantage that the approach inherits from the structural-parametric optimization of energy infrastructures is a high computational complexity of the multilevel optimization scheme. However, the unacceptable calculation time can be explained by the selection of inappropriate optimization algorithms. In the papers concerning the structural-parametric optimization of energy infrastructures publ in the literature, the question of comparing optimization algorithms with each other is clearly not raised. Therefore, this article proposes a three-stage methodology for selecting optimization algorithms, according to which, before solving a specific problem of optimizing the resilience of energy infrastructures, first test the algorithms, and then choose the best one based on a multi-criteria analysis of the test results. To apply the methodology, it is necessary to develop a special lightweight version of the task of optimizing resilience and prepare a testbed for organizing and conducting test computational experiments. The application of the methodology is demonstrated by the example of choosing heuristic methods for finding optimal solutions from the PaGMO library used at the external level of the resilience optimization scheme of the Unified Gas Supply System of Russia. In total, five popular evolutionary algorithms were tested, the most suitable of which turned out to be a genetic sorting algorithm without NSGA-II dominance.
{"title":"A methodology for selecting algorithms for optimizing the resilience of energy infrastructures","authors":"A V Edelev, Natalya M. Beresneva, Roman O. Kostromin","doi":"10.17212/2782-2001-2023-4-97-129","DOIUrl":"https://doi.org/10.17212/2782-2001-2023-4-97-129","url":null,"abstract":"The article considers one of the most difficult tasks of studying the resilience of energy infrastructures – finding effective combinations of measures to increase resilience. To solve this problem, the article describes an approach that considers it as a problem of structural-parametric optimization of energy infrastructures, which is built according to a two- or three-level scheme. The approach described in the article adds another layer to the middle of the above scheme, which checks the efficiency of the selected equipment under extreme conditions created by a given set of large disturbances. The main disadvantage that the approach inherits from the structural-parametric optimization of energy infrastructures is a high computational complexity of the multilevel optimization scheme. However, the unacceptable calculation time can be explained by the selection of inappropriate optimization algorithms. In the papers concerning the structural-parametric optimization of energy infrastructures publ in the literature, the question of comparing optimization algorithms with each other is clearly not raised. Therefore, this article proposes a three-stage methodology for selecting optimization algorithms, according to which, before solving a specific problem of optimizing the resilience of energy infrastructures, first test the algorithms, and then choose the best one based on a multi-criteria analysis of the test results. To apply the methodology, it is necessary to develop a special lightweight version of the task of optimizing resilience and prepare a testbed for organizing and conducting test computational experiments. The application of the methodology is demonstrated by the example of choosing heuristic methods for finding optimal solutions from the PaGMO library used at the external level of the resilience optimization scheme of the Unified Gas Supply System of Russia. In total, five popular evolutionary algorithms were tested, the most suitable of which turned out to be a genetic sorting algorithm without NSGA-II dominance.","PeriodicalId":292298,"journal":{"name":"Analysis and data processing systems","volume":"2006 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139160123","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}
Pub Date : 2023-12-24DOI: 10.17212/2782-2001-2023-4-85-96
Oksana C. Chernikova, Natalia A. Chernenko
The paper proposes to use white clay with the highest apparent density to improve the production of wire-ceramic resistors. Preliminary studies of white clay have shown that it is more sensitive to drying than red clay. The intensity of moisture output from the center of the product to its surface during the manufacturing process and the drying characteristics of white clay give greater shrinkage and strength of dry samples. Linear and nonlinear multiple regression models with and without multicollinearity are considered to find the dependence of the apparent density of clay raw materials on humidity and pressing pressure. To clarify the model structures, a two-stage approach is used, which involves building a model for residuals. It is found that the combination of a multiple regression model taking into account multicollinearity with an AR model constructed for residues makes it possible to calculate the apparent density of clay raw materials with the smallest standard deviation from experimental data. The obtained model structures will be used to determine the optimal parameters of forming ceramic samples: the moisture content of clay raw materials and the compaction pressure, at which the greatest apparent density of samples is achieved. This will improve the production technology of wire-ceramic resistors. The use of wire-ceramic resistors based on white clay with the highest apparent density will speed up one of the stages of the technological process – drying and reduce their hygroscopicity. As a result of the use of wire-ceramic resistors with the highest apparent density, the mechanical strength of the products will increase, which will improve the operational characteristics and prolong the life of the products.
本文建议使用表观密度最高的白粘土来改进线瓷电阻器的生产。对白粘土的初步研究表明，白粘土比红粘土对干燥更敏感。在生产过程中，水分从产品中心向表面输出的强度以及白粘土的干燥特性使干燥样品的收缩率和强度更大。为了找出粘土原料表观密度与湿度和压制压力的关系，我们考虑了有多重共线性和无多重共线性的线性和非线性多元回归模型。为明确模型结构，采用了两阶段方法，包括建立残差模型。研究发现，考虑到多重共线性的多元回归模型与为残差建立的 AR 模型相结合，可以计算出与实验数据标准偏差最小的粘土原料表观密度。获得的模型结构将用于确定陶瓷样品成型的最佳参数：粘土原料的含水量和压实压力，在这两个参数下，样品的表观密度最大。这将改进线状陶瓷电阻器的生产技术。使用表观密度最大的白粘土制成的线状陶瓷电阻器将加快工艺流程的一个阶段--干燥，并降低其吸湿性。由于使用了表观密度最高的陶瓷线电阻器，产品的机械强度将得到提高，这将改善产品的运行特性并延长其使用寿命。
{"title":"Determination of the dependence of the apparent density of ceramic samples on the molding moisture content of clay raw materials and compaction pressure based on regression models","authors":"Oksana C. Chernikova, Natalia A. Chernenko","doi":"10.17212/2782-2001-2023-4-85-96","DOIUrl":"https://doi.org/10.17212/2782-2001-2023-4-85-96","url":null,"abstract":"The paper proposes to use white clay with the highest apparent density to improve the production of wire-ceramic resistors. Preliminary studies of white clay have shown that it is more sensitive to drying than red clay. The intensity of moisture output from the center of the product to its surface during the manufacturing process and the drying characteristics of white clay give greater shrinkage and strength of dry samples. Linear and nonlinear multiple regression models with and without multicollinearity are considered to find the dependence of the apparent density of clay raw materials on humidity and pressing pressure. To clarify the model structures, a two-stage approach is used, which involves building a model for residuals. It is found that the combination of a multiple regression model taking into account multicollinearity with an AR model constructed for residues makes it possible to calculate the apparent density of clay raw materials with the smallest standard deviation from experimental data. The obtained model structures will be used to determine the optimal parameters of forming ceramic samples: the moisture content of clay raw materials and the compaction pressure, at which the greatest apparent density of samples is achieved. This will improve the production technology of wire-ceramic resistors. The use of wire-ceramic resistors based on white clay with the highest apparent density will speed up one of the stages of the technological process – drying and reduce their hygroscopicity. As a result of the use of wire-ceramic resistors with the highest apparent density, the mechanical strength of the products will increase, which will improve the operational characteristics and prolong the life of the products.","PeriodicalId":292298,"journal":{"name":"Analysis and data processing systems","volume":"2018 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139159949","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}
Pub Date : 2023-06-20DOI: 10.17212/2782-2001-2023-2-7-22
A. A. Popov
The basic idea of constructing locally-adaptive regression models (LAR models) consists in the use of regressors defined on the local subregions of factor values. The belonging of factor values to a particular local subdomain is set by indicator functions. Indicator functions by their nature are close to the well-known concepts of membership functions from the theory of fuzzy systems (Fuzzy Systems). As a rule, to provide the required smoothness of the required dependence of the response on the acting factors such local subdomains are defined with overlapping - in the form of the so-called fuzzy partitions. Type or type of indicator functions may be very different: triangular, trapezoidal, and non-linear. Specifying one or another type of indicator function determines the scheme of weighing local models. Each indicator function must be defined for the entire range of the corresponding factor. Triangular-type functions are used as indicator functions in this work. Linear factor models are considered as local models. It is noted that in their original form the proposed LAR models are not identifiable. The issue of identification of such models in the case of joint estimation of all parameters is considered. The procedure of model reduction is introduced. The resulting model is written out in the space of functions that allow estimation. In the case of dividing the domain of factor determination into two, three or four fuzzy partitions we propose the basis of functions allowing evaluation. The results of computational experiment on regression dependence reconstruction by ordinary polynomials of different degrees and by LAR models are given. The efficiency of LAR models in comparison with polynomials of degree 3 and 4 is noted.
{"title":"Identification of locally-adaptive regression models with triangular indicator functions","authors":"A. A. Popov","doi":"10.17212/2782-2001-2023-2-7-22","DOIUrl":"https://doi.org/10.17212/2782-2001-2023-2-7-22","url":null,"abstract":"The basic idea of constructing locally-adaptive regression models (LAR models) consists in the use of regressors defined on the local subregions of factor values. The belonging of factor values to a particular local subdomain is set by indicator functions. Indicator functions by their nature are close to the well-known concepts of membership functions from the theory of fuzzy systems (Fuzzy Systems). As a rule, to provide the required smoothness of the required dependence of the response on the acting factors such local subdomains are defined with overlapping - in the form of the so-called fuzzy partitions. Type or type of indicator functions may be very different: triangular, trapezoidal, and non-linear. Specifying one or another type of indicator function determines the scheme of weighing local models. Each indicator function must be defined for the entire range of the corresponding factor. Triangular-type functions are used as indicator functions in this work. Linear factor models are considered as local models. It is noted that in their original form the proposed LAR models are not identifiable. The issue of identification of such models in the case of joint estimation of all parameters is considered. The procedure of model reduction is introduced. The resulting model is written out in the space of functions that allow estimation. In the case of dividing the domain of factor determination into two, three or four fuzzy partitions we propose the basis of functions allowing evaluation. The results of computational experiment on regression dependence reconstruction by ordinary polynomials of different degrees and by LAR models are given. The efficiency of LAR models in comparison with polynomials of degree 3 and 4 is noted.","PeriodicalId":292298,"journal":{"name":"Analysis and data processing systems","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133814996","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}
Pub Date : 2023-06-20DOI: 10.17212/2782-2001-2023-2-43-58
Vladimir K. Shperling, A. Yakimenko
The article presents the development of an architectural software solution for Internet of Things (IoT) devices that implements the functionality of an automatic medical drug dispenser, based on the ESP32 hardware platform and utilizing the capabilities of the existing real-time operating systems (RTOS). The software architecture for IoT devices was designed with scalability and fault tolerance in mind. All components of the system interact with each other through asynchronous callback functions, which provides flexibility and extensibility to the architecture. Testing for system fault tolerance was conducted. The architecture can be implemented and used as the basis for any IoT device, allowing for support of modern security and functionality stacks, by implementing this functionality once in any of the devices. The process of designing the software architecture is presented, including the selection of suitable technologies and libraries. Particular attention was paid to ensuring the safety and reliability of the device, including protection against an unauthorized access and errors in operation. The experimental results show high efficiency and accuracy of the automatic medical drug dispenser based on the developed software. The practical part provides examples of implementing the proposed architecture in the C and C++ languages, with examples and basic interaction diagrams between the components. The rxcpp library was also used in writing the C++ implementation, which made it easier to write the code base for interacting with the operating system resources and reusing the multithreaded interaction with the system.
{"title":"Development of an architectural software solution for Internet of Thing devices","authors":"Vladimir K. Shperling, A. Yakimenko","doi":"10.17212/2782-2001-2023-2-43-58","DOIUrl":"https://doi.org/10.17212/2782-2001-2023-2-43-58","url":null,"abstract":"The article presents the development of an architectural software solution for Internet of Things (IoT) devices that implements the functionality of an automatic medical drug dispenser, based on the ESP32 hardware platform and utilizing the capabilities of the existing real-time operating systems (RTOS). The software architecture for IoT devices was designed with scalability and fault tolerance in mind. All components of the system interact with each other through asynchronous callback functions, which provides flexibility and extensibility to the architecture. Testing for system fault tolerance was conducted. The architecture can be implemented and used as the basis for any IoT device, allowing for support of modern security and functionality stacks, by implementing this functionality once in any of the devices. The process of designing the software architecture is presented, including the selection of suitable technologies and libraries. Particular attention was paid to ensuring the safety and reliability of the device, including protection against an unauthorized access and errors in operation. The experimental results show high efficiency and accuracy of the automatic medical drug dispenser based on the developed software. The practical part provides examples of implementing the proposed architecture in the C and C++ languages, with examples and basic interaction diagrams between the components. The rxcpp library was also used in writing the C++ implementation, which made it easier to write the code base for interacting with the operating system resources and reusing the multithreaded interaction with the system.","PeriodicalId":292298,"journal":{"name":"Analysis and data processing systems","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126711857","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}
Pub Date : 2023-06-20DOI: 10.17212/2782-2001-2023-2-89-100
Anastasia V. Mikhailenko, Konstantin G. Aksenov, M. Kisteneva, A. Akrestina, S. Shandarov
In this paper, we present the results of experimental investigation of the spectral dependence of the aluminum mirror reflection coefficient in the operating range of 185…900 nm. The aluminum mirror is a part of the Specular Reflectance Measurement Attachment to the Shimadzu UV-2700 spectrophotometer. We used experimental data obtained on the same spectro-photometer for a standard incidence angle of 5° for the reflection coefficient of a fused silicon dioxide plate as a reference sample. This is because the spectral characteristics of the optical parameters of fused silicon dioxide determined by the Sellmeier formular are well known. We used a standard quartz glass plate with a thickness of 2,2 mm and a spectrophotometer slit of 5 nm in our experiment. In this case it is possible to neglect interference effects due to multiple reflection. We found from our experimental data the spectrum of the absorption coefficient required for determining the calculated spectral dependence of its reflection coefficient in the spectrophotometer operating range. On the basis of this absorption spectrum the absolute values of the reflection coefficient of the quartz plate were calculated. This calculation was made for the normal incidence approximation and taking into account multiple reflections and dispersion of the refractive coefficient of fused quartz in accordance with the Sellmeier formula. The comparison of the spectra of calculated absolute and relative values of the reflection coefficient of the quartz plate measured on a spectrophotometer with experimental data for the reflectance of aluminum mirror made it possible to obtain the spectral dependence for the aluminum mirror for the entire operating range from 185 to 900 nm. It was found that spectral dependence of the reflection coefficient of a complete aluminum mirror was nonmonotonic. In case under consideration the deviations of its reflection coefficient from an ideal unit value do not exceed 10 % only in the spectral range from 350 to 670 nm. Thus, it is necessary to take into account the obtained spectral dependence of the reflection coefficient of the complete aluminum mirror for quantitative measurements in the entire operative range of the Shimadzu UV-2700 spectrophotometer from 185 to 900 nm.
{"title":"Investigation of the spectral dependence of the reflection coefficient of the factory-assembled aluminum mirror for the Shimadzu UV-2700 spectrophotometer","authors":"Anastasia V. Mikhailenko, Konstantin G. Aksenov, M. Kisteneva, A. Akrestina, S. Shandarov","doi":"10.17212/2782-2001-2023-2-89-100","DOIUrl":"https://doi.org/10.17212/2782-2001-2023-2-89-100","url":null,"abstract":"In this paper, we present the results of experimental investigation of the spectral dependence of the aluminum mirror reflection coefficient in the operating range of 185…900 nm. The aluminum mirror is a part of the Specular Reflectance Measurement Attachment to the Shimadzu UV-2700 spectrophotometer. We used experimental data obtained on the same spectro-photometer for a standard incidence angle of 5° for the reflection coefficient of a fused silicon dioxide plate as a reference sample. This is because the spectral characteristics of the optical parameters of fused silicon dioxide determined by the Sellmeier formular are well known. We used a standard quartz glass plate with a thickness of 2,2 mm and a spectrophotometer slit of 5 nm in our experiment. In this case it is possible to neglect interference effects due to multiple reflection. We found from our experimental data the spectrum of the absorption coefficient required for determining the calculated spectral dependence of its reflection coefficient in the spectrophotometer operating range. On the basis of this absorption spectrum the absolute values of the reflection coefficient of the quartz plate were calculated. This calculation was made for the normal incidence approximation and taking into account multiple reflections and dispersion of the refractive coefficient of fused quartz in accordance with the Sellmeier formula. The comparison of the spectra of calculated absolute and relative values of the reflection coefficient of the quartz plate measured on a spectrophotometer with experimental data for the reflectance of aluminum mirror made it possible to obtain the spectral dependence for the aluminum mirror for the entire operating range from 185 to 900 nm. It was found that spectral dependence of the reflection coefficient of a complete aluminum mirror was nonmonotonic. In case under consideration the deviations of its reflection coefficient from an ideal unit value do not exceed 10 % only in the spectral range from 350 to 670 nm. Thus, it is necessary to take into account the obtained spectral dependence of the reflection coefficient of the complete aluminum mirror for quantitative measurements in the entire operative range of the Shimadzu UV-2700 spectrophotometer from 185 to 900 nm.","PeriodicalId":292298,"journal":{"name":"Analysis and data processing systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125439173","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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