Pub Date : 2022-12-27DOI: 10.17212/2782-2001-2022-4-49-62
A. Saveliev, Konstantin Krestovnikov, A. Erashov
Autonomous unmanned vehicles can successfully solve a variety of civil, scientific and military tasks. Robotic complexes of this class demonstrate their high efficiency when performing seismic surveys, hydrochemical monitoring of water areas and inspection of technical facilities of various purposes. Vehicles powered by a rechargeable battery, as a rule, have a very limited power reserve, and require periodic replenishment of the battery charge. The physical properties of the operating environment impose significant limitations on the communication methods used, which complicates the transfer of information between the operator and an autonomous unmanned submersible. Delivery of the vehicle to the mission site, as well as providing power to the vehicle and information exchange with the operator require some additional infrastructure. This paper focuses on finding and selecting solutions for transportation, power and communications support for autonomous underwater vehicles. The constructional solutions of underwater docks and general principles of building systems for ensuring the operation of this type of vehicles are considered, and a classification of approaches to the energy supply of underwater vehicles is made. Based on the analysis the most perspective solutions ensuring long-term autonomous operation were selected. Docking stations with the ability to lift and dive an underwater vehicle directly inside the station have a number of operational advantages. The use of contact methods for energy and information transfer requires high accuracy of underwater vehicle positioning and complication of its sensor system, as well as application of special methods for protection of contact pairs from environmental impacts. These disadvantages are deprived by wireless solutions, which are actively introduced at present.
{"title":"Analysis of approaches to functioning of an autonomous unmanned vehicle and a surface ship in joint missions","authors":"A. Saveliev, Konstantin Krestovnikov, A. Erashov","doi":"10.17212/2782-2001-2022-4-49-62","DOIUrl":"https://doi.org/10.17212/2782-2001-2022-4-49-62","url":null,"abstract":"Autonomous unmanned vehicles can successfully solve a variety of civil, scientific and military tasks. Robotic complexes of this class demonstrate their high efficiency when performing seismic surveys, hydrochemical monitoring of water areas and inspection of technical facilities of various purposes. Vehicles powered by a rechargeable battery, as a rule, have a very limited power reserve, and require periodic replenishment of the battery charge. The physical properties of the operating environment impose significant limitations on the communication methods used, which complicates the transfer of information between the operator and an autonomous unmanned submersible. Delivery of the vehicle to the mission site, as well as providing power to the vehicle and information exchange with the operator require some additional infrastructure. This paper focuses on finding and selecting solutions for transportation, power and communications support for autonomous underwater vehicles. The constructional solutions of underwater docks and general principles of building systems for ensuring the operation of this type of vehicles are considered, and a classification of approaches to the energy supply of underwater vehicles is made. Based on the analysis the most perspective solutions ensuring long-term autonomous operation were selected. Docking stations with the ability to lift and dive an underwater vehicle directly inside the station have a number of operational advantages. The use of contact methods for energy and information transfer requires high accuracy of underwater vehicle positioning and complication of its sensor system, as well as application of special methods for protection of contact pairs from environmental impacts. These disadvantages are deprived by wireless solutions, which are actively introduced at present.","PeriodicalId":292298,"journal":{"name":"Analysis and data processing systems","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123305581","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 : 2022-12-27DOI: 10.17212/2782-2001-2022-4-63-74
Y. Shornikov, Konstantin A. Timofeev
When modeling complex dynamic processes, it becomes necessary to numerically solve the Cauchy problem for systems of ordinary differential equations (ODEs). The efficiency of the applied numerical methods depends on the degree of stiffness and dimension of the problem [1–3]. Depending on the task class, different methods behave differently.This article provides a comparative analysis of explicit adaptive and diagonal-implicit integration methods implemented in the SimInTech software [4]. The SimInTech software package is designed to simulate complex dynamic processes in systems of various classes. The system supports the ability to develop models in the form of block diagrams, as well as describe systems of differential equations using the built-in programming language and simulate event-driven systems and finite automata.It is shown that the most effective in solving problems of the considered class are the diagonal-implicit Runge-Kutta type integration methods – DIRK2 and DIRK4 from the SimInTech package. The DIRK3 method is inferior due to the large number of calculations of the Jacobian matrix. The preferred method is rather The DIRK2 method is preferable in this case, because it has a greater number of time steps with almost the same performance and does not increase the integration step so much with relatively low accuracy settings of the integration method. Of the explicit methods of the Runge-Kutta type with an adaptive numerical scheme, the “Adaptive-5” method is the most effective for solving problems of this class. For problems of this class, we can recommend the use of explicit integration methods “Adaptive-5”, “Adaptive-1” with a small system dimension.The traditional implicit Gear and Euler integration methods also effectively solve this problem, provided that the algorithm for calculating the Jacobian matrix is effectively implemented.
{"title":"Analysis of numerical methods for integrating high-dimensional stiff systems in SimInTech","authors":"Y. Shornikov, Konstantin A. Timofeev","doi":"10.17212/2782-2001-2022-4-63-74","DOIUrl":"https://doi.org/10.17212/2782-2001-2022-4-63-74","url":null,"abstract":"When modeling complex dynamic processes, it becomes necessary to numerically solve the Cauchy problem for systems of ordinary differential equations (ODEs). The efficiency of the applied numerical methods depends on the degree of stiffness and dimension of the problem [1–3]. Depending on the task class, different methods behave differently.This article provides a comparative analysis of explicit adaptive and diagonal-implicit integration methods implemented in the SimInTech software [4]. The SimInTech software package is designed to simulate complex dynamic processes in systems of various classes. The system supports the ability to develop models in the form of block diagrams, as well as describe systems of differential equations using the built-in programming language and simulate event-driven systems and finite automata.It is shown that the most effective in solving problems of the considered class are the diagonal-implicit Runge-Kutta type integration methods – DIRK2 and DIRK4 from the SimInTech package. The DIRK3 method is inferior due to the large number of calculations of the Jacobian matrix. The preferred method is rather The DIRK2 method is preferable in this case, because it has a greater number of time steps with almost the same performance and does not increase the integration step so much with relatively low accuracy settings of the integration method. Of the explicit methods of the Runge-Kutta type with an adaptive numerical scheme, the “Adaptive-5” method is the most effective for solving problems of this class. For problems of this class, we can recommend the use of explicit integration methods “Adaptive-5”, “Adaptive-1” with a small system dimension.The traditional implicit Gear and Euler integration methods also effectively solve this problem, provided that the algorithm for calculating the Jacobian matrix is effectively implemented.","PeriodicalId":292298,"journal":{"name":"Analysis and data processing systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133582093","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 : 2022-12-27DOI: 10.17212/2782-2001-2022-4-75-88
A. Grif, Y. Soloveichik
Methods for post-processing of finite element solutions in the simulation of multiphase flows are considered. To simulate filtration processes, a special method based on the implicit calculation of the pressure field and the explicit calculation of saturations is used. Post-processing of flows is performed using two technologies - the balancing method and the projection method. The method of balancing the numerical flows of the mixture ensures the fulfillment of local conservation laws by finding corrections to the flows of the mixture calculated using the FEM. For the closeness of the modified mixture flows to the original numerical ones, the regularization parameters in the balancing method are calculated using the averaged unbalance. In the projection method, the balanced values of fluxes through the faces of finite elements are corrected by adding constant corrections (constant per element). Computational experiments were carried out on a test problem, a model of a field with a simple structure, and a model of a real oil field in the Republic of Tatarstan. When modeling problems with the appropriate correction of the known mixture flows on the faces of the wells, the solutions obtained using the balancing method and the projection method have little difference. The results of research on problems have shown that both technologies provide conservative solutions for which conservation laws are satisfied. At the same time, the use of the method of balancing the numerical flows of the mixture provides a higher accuracy than the projection method, when the flows in the wells are corrected in the post-processing process (that is, in fact, production/injection is emulated while maintaining a fixed pressure). The projection method can be improved by using the weight functions proposed for the balancing method. However, even in this case, the balancing method allows obtaining more accurate solutions.
{"title":"Investigation of the efficiency of post-processing methods in solving problems of multi-phase filtration","authors":"A. Grif, Y. Soloveichik","doi":"10.17212/2782-2001-2022-4-75-88","DOIUrl":"https://doi.org/10.17212/2782-2001-2022-4-75-88","url":null,"abstract":"Methods for post-processing of finite element solutions in the simulation of multiphase flows are considered. To simulate filtration processes, a special method based on the implicit calculation of the pressure field and the explicit calculation of saturations is used. Post-processing of flows is performed using two technologies - the balancing method and the projection method. The method of balancing the numerical flows of the mixture ensures the fulfillment of local conservation laws by finding corrections to the flows of the mixture calculated using the FEM. For the closeness of the modified mixture flows to the original numerical ones, the regularization parameters in the balancing method are calculated using the averaged unbalance. In the projection method, the balanced values of fluxes through the faces of finite elements are corrected by adding constant corrections (constant per element). Computational experiments were carried out on a test problem, a model of a field with a simple structure, and a model of a real oil field in the Republic of Tatarstan. When modeling problems with the appropriate correction of the known mixture flows on the faces of the wells, the solutions obtained using the balancing method and the projection method have little difference. The results of research on problems have shown that both technologies provide conservative solutions for which conservation laws are satisfied. At the same time, the use of the method of balancing the numerical flows of the mixture provides a higher accuracy than the projection method, when the flows in the wells are corrected in the post-processing process (that is, in fact, production/injection is emulated while maintaining a fixed pressure). The projection method can be improved by using the weight functions proposed for the balancing method. However, even in this case, the balancing method allows obtaining more accurate solutions.","PeriodicalId":292298,"journal":{"name":"Analysis and data processing systems","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126851457","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 : 2022-12-27DOI: 10.17212/2782-2001-2022-4-89-100
Anastasia S. Ovchinnikova, M. Persova, Daryana A. Leonovich
The paper presents an approach to calculation of the coefficient determining the rate of heat transfer between a fluid mixture in oil reservoir and a matrix-rock. This coefficient is necessary for further joint modeling of hydrodynamic and thermal processes that occur in the field reservoir during its development using, for example, thermal methods for enhanced oil recovery. To model the processes of a non-isothermal multiphase flow, an approach based on implicit pressure calculation using the finite element method and explicit calculation of phase saturations is used. The approach to determining the heat transfer coefficient is based on solving the thermal problem in an area corresponding to a channel of a porous medium and a part of the matrix-rock around it. In this case, a fluid mixture with a known temperature value, different from the initial temperature in the channel and matrix-rock, enters the channel at a given rate. A two-dimensional problem is solved in an axisymmetric formulation by the finite element method.Numerical experiments to determine the heat transfer coefficient were carried out on models for various values of the channel size, porosity, initial temperatures of the medium, temperature of the mixture entering the channel, thermal properties of the fluid mixture and rock. As a result of the study, it was found that the channel size and porosity have the most significant effect on the value of the heat transfer coefficient, since these characteristics determine the volume of the matrix-rock, which should “warm up / cool down” when the temperature of the fluid mixture in the channel changes. Also, the coefficient values obtained were quite large, since the heat exchange between the rock and the mixture in the channel occurs in minutes, which practically corresponds to instantaneous heat transfer when it comes to modeling field development processes, where time steps are days and months.
{"title":"Approach to the determination of the heat transfer coefficient between rock and fluid mixture for modeling non-isothermal multiphase flow","authors":"Anastasia S. Ovchinnikova, M. Persova, Daryana A. Leonovich","doi":"10.17212/2782-2001-2022-4-89-100","DOIUrl":"https://doi.org/10.17212/2782-2001-2022-4-89-100","url":null,"abstract":"The paper presents an approach to calculation of the coefficient determining the rate of heat transfer between a fluid mixture in oil reservoir and a matrix-rock. This coefficient is necessary for further joint modeling of hydrodynamic and thermal processes that occur in the field reservoir during its development using, for example, thermal methods for enhanced oil recovery. To model the processes of a non-isothermal multiphase flow, an approach based on implicit pressure calculation using the finite element method and explicit calculation of phase saturations is used. The approach to determining the heat transfer coefficient is based on solving the thermal problem in an area corresponding to a channel of a porous medium and a part of the matrix-rock around it. In this case, a fluid mixture with a known temperature value, different from the initial temperature in the channel and matrix-rock, enters the channel at a given rate. A two-dimensional problem is solved in an axisymmetric formulation by the finite element method.Numerical experiments to determine the heat transfer coefficient were carried out on models for various values of the channel size, porosity, initial temperatures of the medium, temperature of the mixture entering the channel, thermal properties of the fluid mixture and rock. As a result of the study, it was found that the channel size and porosity have the most significant effect on the value of the heat transfer coefficient, since these characteristics determine the volume of the matrix-rock, which should “warm up / cool down” when the temperature of the fluid mixture in the channel changes. Also, the coefficient values obtained were quite large, since the heat exchange between the rock and the mixture in the channel occurs in minutes, which practically corresponds to instantaneous heat transfer when it comes to modeling field development processes, where time steps are days and months.","PeriodicalId":292298,"journal":{"name":"Analysis and data processing systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129337429","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 : 2022-12-27DOI: 10.17212/2782-2001-2022-4-7-30
A. A. Voevoda, V. Shipagin
In practice, the choice of the type of neural network is carried out empirically based on an experience of an investigator and many training attempts. At the same time, the excessive complexity of the neural network leads to an increase in its training time, and in some cases, to the impossibility of learning at all. Thus, the justification of the choice of an artificial neural network structure and/or its preliminary calculation based on other models is an urgent task. An equally important task is the choice of an initial weighting coefficients of an neural network, the choice of which determines the speed of convergence of search algorithms. This paper demonstrates several approaches to solving the problem of choosing an architecture and initializing a weighting coefficients of a neural network. One of them is carried out on the basis of a previously calculated function using Petri nets. This approach is demonstrated for solving various tasks, which include the implementation of functions using previously defined neural network models of the simplest logical operations "and", "or", etc. An approach is given that allows optimizing an architecture of a neural network that solves the problem of approximating functions of one and several variables. The principle of determining an architecture and initial weight coefficients is also used in the tasks of training neural networks with reinforcement. A separate section is devoted to the formation of a methodology for determining an architecture and initialization of a weighting coefficients of a neural network of the controller based on information about the controller obtained by a modal method using a polynomial matrix decomposition of a system. The problem of synthesis of a neural network controller for an object model containing nonlinearities and nonparametric uncertainties in the control channel is solved.
{"title":"On the choice of the neuroregulator architecture","authors":"A. A. Voevoda, V. Shipagin","doi":"10.17212/2782-2001-2022-4-7-30","DOIUrl":"https://doi.org/10.17212/2782-2001-2022-4-7-30","url":null,"abstract":"In practice, the choice of the type of neural network is carried out empirically based on an experience of an investigator and many training attempts. At the same time, the excessive complexity of the neural network leads to an increase in its training time, and in some cases, to the impossibility of learning at all. Thus, the justification of the choice of an artificial neural network structure and/or its preliminary calculation based on other models is an urgent task. An equally important task is the choice of an initial weighting coefficients of an neural network, the choice of which determines the speed of convergence of search algorithms. This paper demonstrates several approaches to solving the problem of choosing an architecture and initializing a weighting coefficients of a neural network. One of them is carried out on the basis of a previously calculated function using Petri nets. This approach is demonstrated for solving various tasks, which include the implementation of functions using previously defined neural network models of the simplest logical operations \"and\", \"or\", etc. An approach is given that allows optimizing an architecture of a neural network that solves the problem of approximating functions of one and several variables. The principle of determining an architecture and initial weight coefficients is also used in the tasks of training neural networks with reinforcement. A separate section is devoted to the formation of a methodology for determining an architecture and initialization of a weighting coefficients of a neural network of the controller based on information about the controller obtained by a modal method using a polynomial matrix decomposition of a system. The problem of synthesis of a neural network controller for an object model containing nonlinearities and nonparametric uncertainties in the control channel is solved.","PeriodicalId":292298,"journal":{"name":"Analysis and data processing systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131167403","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 : 2022-12-27DOI: 10.17212/2782-2001-2022-4-31-48
A. Kazarinov, Maksim Derevyanov, Yu. E. Pleshivtseva
The analysis of hydrogen projects is based on the information presented in the open database of the International Energy Agency (IEA) which contains 1327 projects for the production of hydrogen and products based on it, implemented in more than 100 countries around the world. It is proposed to use two classification approaches to identify the current trends in the development of hydrogen projects. The first approach is based on the project classification according to their implementation period, and the second one uses the classification of project implementation stages proposed in the IEA database. The complex application of the described approaches makes it possible to carry out a systematic analysis of the data presented in the IEA database. Projects using electrolysis technologies for hydrogen production are considered separately from projects using alternative technologies. The geographical localization of projects was analyzed following the place of their implementation in one of the four regions of the world: Europe, Asia, America, and Oceania with Africa. The distribution of project capacities by country is presented for all regions. It has been established that the global capacity of electrolysis projects for hydrogen production has reached 310?MW, and, with the successful implementation of 350 promising projects currently being developed, their total capacity can reach 65 GW by 2030. In addition, about 80 concept projects with a total capacity of more than 230 GW are in the early stages of development. If all these promising projects are implemented, the total volume of hydrogen production, taking into account electrolysis projects, can reach more than 50 million tons by 2030, which will contribute to the achievement of global decarbonization goals. The results of the analysis allow us to conclude that currently, projects for hydrogen production and products based on it are rapidly developing in the world, mainly due to the ambitious hydrogen strategies of the countries of the European Union and the UK.
{"title":"Classification and localization analysis of hydrogen production projects","authors":"A. Kazarinov, Maksim Derevyanov, Yu. E. Pleshivtseva","doi":"10.17212/2782-2001-2022-4-31-48","DOIUrl":"https://doi.org/10.17212/2782-2001-2022-4-31-48","url":null,"abstract":"The analysis of hydrogen projects is based on the information presented in the open database of the International Energy Agency (IEA) which contains 1327 projects for the production of hydrogen and products based on it, implemented in more than 100 countries around the world. It is proposed to use two classification approaches to identify the current trends in the development of hydrogen projects. The first approach is based on the project classification according to their implementation period, and the second one uses the classification of project implementation stages proposed in the IEA database. The complex application of the described approaches makes it possible to carry out a systematic analysis of the data presented in the IEA database. Projects using electrolysis technologies for hydrogen production are considered separately from projects using alternative technologies. The geographical localization of projects was analyzed following the place of their implementation in one of the four regions of the world: Europe, Asia, America, and Oceania with Africa. The distribution of project capacities by country is presented for all regions. It has been established that the global capacity of electrolysis projects for hydrogen production has reached 310?MW, and, with the successful implementation of 350 promising projects currently being developed, their total capacity can reach 65 GW by 2030. In addition, about 80 concept projects with a total capacity of more than 230 GW are in the early stages of development. If all these promising projects are implemented, the total volume of hydrogen production, taking into account electrolysis projects, can reach more than 50 million tons by 2030, which will contribute to the achievement of global decarbonization goals. The results of the analysis allow us to conclude that currently, projects for hydrogen production and products based on it are rapidly developing in the world, mainly due to the ambitious hydrogen strategies of the countries of the European Union and the UK.","PeriodicalId":292298,"journal":{"name":"Analysis and data processing systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114870018","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 : 2022-09-29DOI: 10.17212/2782-2001-2022-3-75-88
M. Andreeva, V. S. Soldatkin, V. Tuev
Modern light sources, such as LEDs, make it possible to create highly efficient lighting devices with a high color rendering index (at least 85), and a luminous efficiency of up to 250 lm/W. Insufficient lighting can cause visual discomfort. A long stay in conditions of visual discomfort and tension leads to a lack of concentration, visual and general fatigue. The main challenge facing lighting manufacturers is to minimize color differences between individual lighting fixtures or between production batches. In this work, it was necessary to evaluate the spatial distribution of the spectrocolorimetric characteristics of LED lamps in MacAdam steps. To do this, at the beginning, such concepts as a comfortable light environment, correlated color temperature and MacAdam ellipses were considered. Further, it was necessary to measure 10 samples of the LED emitting element. The measurements were carried out using such instruments as a goniophotometer and a spectrocolorimeter. As a result, the main colorimetric characteristics, such as color coordinates, were obtained. Based on the chromaticity coordinates, the color deviation in MacAdam steps was calculated for each sample. Also, a regression analysis was carried out and an approximating expression for the chromaticity coordinates was obtained. On the basis of the approximating expression for the chromaticity coordinates, the average color deviation in MacAdam steps was calculated. The value made up 5 steps. The deviation for the values –40 and 40 was also calculated. In order to reduce the color deviation (reduce the number of McAdam steps), it is necessary to make changes in the technological process of manufacturing the phosphor composition. For example, to reduce the thickness of the phosphor coating or reduce the concentration of phosphor. The results of these studies can be used by the developers of LED lamps based on LED emitting elements in order to improve the uniformity of the spatial distribution of color.
{"title":"Estimation of spatial distribution of spectrocolorimetric characteristics of LED lamps in MacAdam steps","authors":"M. Andreeva, V. S. Soldatkin, V. Tuev","doi":"10.17212/2782-2001-2022-3-75-88","DOIUrl":"https://doi.org/10.17212/2782-2001-2022-3-75-88","url":null,"abstract":"Modern light sources, such as LEDs, make it possible to create highly efficient lighting devices with a high color rendering index (at least 85), and a luminous efficiency of up to 250 lm/W. Insufficient lighting can cause visual discomfort. A long stay in conditions of visual discomfort and tension leads to a lack of concentration, visual and general fatigue. The main challenge facing lighting manufacturers is to minimize color differences between individual lighting fixtures or between production batches. In this work, it was necessary to evaluate the spatial distribution of the spectrocolorimetric characteristics of LED lamps in MacAdam steps. To do this, at the beginning, such concepts as a comfortable light environment, correlated color temperature and MacAdam ellipses were considered. Further, it was necessary to measure 10 samples of the LED emitting element. The measurements were carried out using such instruments as a goniophotometer and a spectrocolorimeter. As a result, the main colorimetric characteristics, such as color coordinates, were obtained. Based on the chromaticity coordinates, the color deviation in MacAdam steps was calculated for each sample. Also, a regression analysis was carried out and an approximating expression for the chromaticity coordinates was obtained. On the basis of the approximating expression for the chromaticity coordinates, the average color deviation in MacAdam steps was calculated. The value made up 5 steps. The deviation for the values –40 and 40 was also calculated. In order to reduce the color deviation (reduce the number of McAdam steps), it is necessary to make changes in the technological process of manufacturing the phosphor composition. For example, to reduce the thickness of the phosphor coating or reduce the concentration of phosphor. The results of these studies can be used by the developers of LED lamps based on LED emitting elements in order to improve the uniformity of the spatial distribution of color.","PeriodicalId":292298,"journal":{"name":"Analysis and data processing systems","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129407326","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 : 2022-09-29DOI: 10.17212/2782-2001-2022-3-21-36
I. Ryabchikov
Ensuring safety of people in the urban environment is an important area for improving the quality of people’s lives, and the development of modern intelligent technologies creates new opportunities to achieve this goal. The use of modern intelligent technologies can realize the potential of video surveillance systems, making possible the automatic recognition of dangerous situations in real time in order to take timely measures to handle them and provide aid to victims. Often, a dangerous situation is caused by deviant behavior of people – robbery, fight, vandalism, etc. But the existing works focused on recognizing deviant behavior are only focused on recognizing short-term distinguishing features, such as punches, falls or weapons in the hands of a person. At the same time, such features may often be absent, for instance, when a passerby is robbed but no fighting occurs, which is why the task of recognizing complex long-term scenes of deviant behavior remains unresolved. This paper proposes a method for automatic recognition of long-term human deviant behavior scenes, characterized by the integration of knowledge management and computer vision technologies for detecting and segmenting objects, estimating the three-dimensional human skeleton, tracking objects in video, estimating the ground plane normal to calculate the camera distance, and classification of short-term actions of people using three-dimensional skeleton. This method can be used in the development of a decision support system by operators of video monitoring systems used to detect and handle deviant behavior of people in real time in order to prevent escalation, provide timely aid to victims and detain suspects.
{"title":"A method for automatic recognition of deviant behavior of people based on the integration of computer vision and knowledge management technologies to support decision-making by operators of video monitoring systems","authors":"I. Ryabchikov","doi":"10.17212/2782-2001-2022-3-21-36","DOIUrl":"https://doi.org/10.17212/2782-2001-2022-3-21-36","url":null,"abstract":"Ensuring safety of people in the urban environment is an important area for improving the quality of people’s lives, and the development of modern intelligent technologies creates new opportunities to achieve this goal. The use of modern intelligent technologies can realize the potential of video surveillance systems, making possible the automatic recognition of dangerous situations in real time in order to take timely measures to handle them and provide aid to victims. Often, a dangerous situation is caused by deviant behavior of people – robbery, fight, vandalism, etc. But the existing works focused on recognizing deviant behavior are only focused on recognizing short-term distinguishing features, such as punches, falls or weapons in the hands of a person. At the same time, such features may often be absent, for instance, when a passerby is robbed but no fighting occurs, which is why the task of recognizing complex long-term scenes of deviant behavior remains unresolved. This paper proposes a method for automatic recognition of long-term human deviant behavior scenes, characterized by the integration of knowledge management and computer vision technologies for detecting and segmenting objects, estimating the three-dimensional human skeleton, tracking objects in video, estimating the ground plane normal to calculate the camera distance, and classification of short-term actions of people using three-dimensional skeleton. This method can be used in the development of a decision support system by operators of video monitoring systems used to detect and handle deviant behavior of people in real time in order to prevent escalation, provide timely aid to victims and detain suspects.","PeriodicalId":292298,"journal":{"name":"Analysis and data processing systems","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124624617","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 : 2022-09-29DOI: 10.17212/2782-2001-2022-3-37-58
O. Chernikova, T.A. Marareskul
The paper presents the results of a study of the accuracy of a two-stage algorithm for constructing a linear model for predicting the divergence of the time scales of GLONASS spacecraft relative to the system time scale for intervals of up to two hours. At the first stage of the two-stage algorithm, a linear model is constructed based on the least squares method based on the results of the measurement data of the discrepancy of the time scales at the selected dimensional interval. At the second stage, the offset of the smoothed estimate of the discrepancy of the time scales at the end of the dimensional interval (the current session estimate) is determined relative to the linear trend found throughout the dimensional interval, and the constant term of the constructed linear model is refined based on the latest measurements. A comparative analysis of the accuracy of the forecast of the divergence of time scales based on a linear model and a linear model with an adjusted constant coefficient at different forecast intervals is also provided. The analysis of the obtained results of the error estimation of the corrected linear prediction model of the divergence of the GLONASS time scales, constructed using the described two-stage algorithm, allows for all GLONASS spacecraft at the considered prediction intervals to provide a smaller prediction error compared to the linear model without correction. It is also possible to distinguish a group of spacecraft for which the forecast error is noticeably higher than for the rest (the worst forecasts in terms of accuracy were obtained for spacecraft R02, R13, R22).The proposed approach can be used both to predict the divergence of spacecraft time scales and to recover the missing data on a dimensional interval, which is relevant for expanding the class of mathematical models used to describe the divergence of time scales.
{"title":"Prediction of time scale divergence based on an adjusted linear model","authors":"O. Chernikova, T.A. Marareskul","doi":"10.17212/2782-2001-2022-3-37-58","DOIUrl":"https://doi.org/10.17212/2782-2001-2022-3-37-58","url":null,"abstract":"The paper presents the results of a study of the accuracy of a two-stage algorithm for constructing a linear model for predicting the divergence of the time scales of GLONASS spacecraft relative to the system time scale for intervals of up to two hours. At the first stage of the two-stage algorithm, a linear model is constructed based on the least squares method based on the results of the measurement data of the discrepancy of the time scales at the selected dimensional interval. At the second stage, the offset of the smoothed estimate of the discrepancy of the time scales at the end of the dimensional interval (the current session estimate) is determined relative to the linear trend found throughout the dimensional interval, and the constant term of the constructed linear model is refined based on the latest measurements. A comparative analysis of the accuracy of the forecast of the divergence of time scales based on a linear model and a linear model with an adjusted constant coefficient at different forecast intervals is also provided. The analysis of the obtained results of the error estimation of the corrected linear prediction model of the divergence of the GLONASS time scales, constructed using the described two-stage algorithm, allows for all GLONASS spacecraft at the considered prediction intervals to provide a smaller prediction error compared to the linear model without correction. It is also possible to distinguish a group of spacecraft for which the forecast error is noticeably higher than for the rest (the worst forecasts in terms of accuracy were obtained for spacecraft R02, R13, R22).The proposed approach can be used both to predict the divergence of spacecraft time scales and to recover the missing data on a dimensional interval, which is relevant for expanding the class of mathematical models used to describe the divergence of time scales.","PeriodicalId":292298,"journal":{"name":"Analysis and data processing systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121132844","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 : 2022-09-29DOI: 10.17212/2782-2001-2022-3-7-20
M. Kuchma, V. Voronin, Yu.A. Shamilova, Yu.A. Amelchenko
In this paper, the authors propose an algorithm for automatic operational flood detection of the Amur River basin based on data from the MSI instrument installed on the Sentinel-2 satellite. To solve the problem, a U-net convolutional neural network is used, improved due to the specifics of the data by adding an additional layer that reduces sampling and normalization layers after each neuron activation. As a training set, Sentinel-2 Level-2A data was used, which underwent the atmospheric correction procedure and represents 4 channels of the MSI instrument with a spatial resolution of 10 m, as well as index images built on their basis. As reference information, vector maps of river floods were used, built in an interactive mode by decoder specialists from the Far-Eastern Center of State Research Center for Space Hydrometeorology “Planeta”. The results of the neural network algorithm after the learning process were evaluated according to the metrics that amounted to: Precision – 94.91%, Recall – 90.76%, F1-measure – 92.79%. High accuracy ratings and fast operation speed make it possible to use the developed algorithm for automatic operational flood detection of the Amur River basin floods in the tasks of integrated monitoring of flood conditions. The work is a complete technical solution and has been put into trial operation at the Far-Eastern Center of State Research Center for Space Hydrometeorology “Planeta”. In the future, the results obtained by the authors are planned to be adapted to the data of the Russian satellite of the Meteor-M series with the KMSS-2 multi-zone satellite imagery complex installed on board. The expected results will improve the quality of the thematic products provided and will make it possible to switch over to the use of domestic data when creating our own technologies for processing satellite information.
{"title":"Development of a Neural Network Algorithm for automatic operational detection of Amur River basin floods based on Sentinel-2 satellite data","authors":"M. Kuchma, V. Voronin, Yu.A. Shamilova, Yu.A. Amelchenko","doi":"10.17212/2782-2001-2022-3-7-20","DOIUrl":"https://doi.org/10.17212/2782-2001-2022-3-7-20","url":null,"abstract":"In this paper, the authors propose an algorithm for automatic operational flood detection of the Amur River basin based on data from the MSI instrument installed on the Sentinel-2 satellite. To solve the problem, a U-net convolutional neural network is used, improved due to the specifics of the data by adding an additional layer that reduces sampling and normalization layers after each neuron activation. As a training set, Sentinel-2 Level-2A data was used, which underwent the atmospheric correction procedure and represents 4 channels of the MSI instrument with a spatial resolution of 10 m, as well as index images built on their basis. As reference information, vector maps of river floods were used, built in an interactive mode by decoder specialists from the Far-Eastern Center of State Research Center for Space Hydrometeorology “Planeta”. The results of the neural network algorithm after the learning process were evaluated according to the metrics that amounted to: Precision – 94.91%, Recall – 90.76%, F1-measure – 92.79%. High accuracy ratings and fast operation speed make it possible to use the developed algorithm for automatic operational flood detection of the Amur River basin floods in the tasks of integrated monitoring of flood conditions. The work is a complete technical solution and has been put into trial operation at the Far-Eastern Center of State Research Center for Space Hydrometeorology “Planeta”. In the future, the results obtained by the authors are planned to be adapted to the data of the Russian satellite of the Meteor-M series with the KMSS-2 multi-zone satellite imagery complex installed on board. The expected results will improve the quality of the thematic products provided and will make it possible to switch over to the use of domestic data when creating our own technologies for processing satellite information.","PeriodicalId":292298,"journal":{"name":"Analysis and data processing systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130389579","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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