Pub Date : 2020-09-01DOI: 10.1109/RusAutoCon49822.2020.9208192
I. Bolodurina, L. Zabrodina
In this paper, we consider the neural network approach to solving optimal control problems with mixed constraints at the stage of optimization of the functional approximations through evolutionary algorithms. Based on the necessary optimality conditions and the Lagrange multiplier method, the initial optimal control problem is reduced to a nonlinear optimization problem and the corresponding approximation model of the neural network for the control function and the trajectory is presented. The convergence of the neural network approach using a genetic algorithm, a population-based gravitational search algorithm, and a basic particle swarm algorithm was studied. Also, the results obtained are compared with the operation of the gradient descent algorithm. Computational experiments have shown that evolutionary algorithms for optimizing functions use the least number of iterations to achieve a given accuracy, but multi-agent methods of gravitational search and particle swarming show the longest execution time per iteration. The genetic optimization algorithm showed the fastest convergence rate relative to the total execution time of the algorithm.
{"title":"Investigation of the Evolutionary Optimization Algorithms for the Neural Network Solution of the Optimal Control Problems","authors":"I. Bolodurina, L. Zabrodina","doi":"10.1109/RusAutoCon49822.2020.9208192","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208192","url":null,"abstract":"In this paper, we consider the neural network approach to solving optimal control problems with mixed constraints at the stage of optimization of the functional approximations through evolutionary algorithms. Based on the necessary optimality conditions and the Lagrange multiplier method, the initial optimal control problem is reduced to a nonlinear optimization problem and the corresponding approximation model of the neural network for the control function and the trajectory is presented. The convergence of the neural network approach using a genetic algorithm, a population-based gravitational search algorithm, and a basic particle swarm algorithm was studied. Also, the results obtained are compared with the operation of the gradient descent algorithm. Computational experiments have shown that evolutionary algorithms for optimizing functions use the least number of iterations to achieve a given accuracy, but multi-agent methods of gravitational search and particle swarming show the longest execution time per iteration. The genetic optimization algorithm showed the fastest convergence rate relative to the total execution time of the algorithm.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124750187","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 : 2020-09-01DOI: 10.1109/RusAutoCon49822.2020.9208045
V. Mitroshin, V. Denisov
This paper presents the new approach and methodology for controlling the insulation application in the manufacture of high-frequency communication cables of high regularity. They ensure the achievement of the required characteristics of products. The main tasks are formulated and solved during the automation of the technological process of applying insulation on the extrusion lines. Digital systems have been developed for stabilizing the pressure in the extruder forming tool and stabilizing the temperature of the polymer melt in the extruder dosing zone. Their high efficiency was proved with the help of analysis of stabilization systems for the operational parameters of technological equipment carried out using computer simulation.
{"title":"Automated Control of the Process of Insulating the Cores of Radio-Frequency Cables with Guaranteed Ensuring the Operational Characteristics of the Products","authors":"V. Mitroshin, V. Denisov","doi":"10.1109/RusAutoCon49822.2020.9208045","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208045","url":null,"abstract":"This paper presents the new approach and methodology for controlling the insulation application in the manufacture of high-frequency communication cables of high regularity. They ensure the achievement of the required characteristics of products. The main tasks are formulated and solved during the automation of the technological process of applying insulation on the extrusion lines. Digital systems have been developed for stabilizing the pressure in the extruder forming tool and stabilizing the temperature of the polymer melt in the extruder dosing zone. Their high efficiency was proved with the help of analysis of stabilization systems for the operational parameters of technological equipment carried out using computer simulation.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124314702","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 : 2020-09-01DOI: 10.1109/RusAutoCon49822.2020.9208224
V. Domanov, S. Gavrilova, I. A. Meshchaninov
A model of a slip electric drive based on interconnected systems has been compiled and investigated. A diagram and description of the work of a slip complex, representing a complex system of multiple simultaneously operating electric drives are presented. The model of the electric drive slipway system, operating in the passive mode of speed agreement, when passive electrical elements are used in electrical chain. Equations are obtained that allow one to determine the error values of an interconnected system depending on the number of electric drives used. The study of the model of slip electric drives based on the proposed interconnected systems allows to reduce the mismatch errors. It is shown that the value of errors decreases with an increase in the number of electric drives in the interconnected system.
{"title":"Analysis Work Electric Drive Slipway with Passive Control","authors":"V. Domanov, S. Gavrilova, I. A. Meshchaninov","doi":"10.1109/RusAutoCon49822.2020.9208224","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208224","url":null,"abstract":"A model of a slip electric drive based on interconnected systems has been compiled and investigated. A diagram and description of the work of a slip complex, representing a complex system of multiple simultaneously operating electric drives are presented. The model of the electric drive slipway system, operating in the passive mode of speed agreement, when passive electrical elements are used in electrical chain. Equations are obtained that allow one to determine the error values of an interconnected system depending on the number of electric drives used. The study of the model of slip electric drives based on the proposed interconnected systems allows to reduce the mismatch errors. It is shown that the value of errors decreases with an increase in the number of electric drives in the interconnected system.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130535053","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 : 2020-09-01DOI: 10.1109/RusAutoCon49822.2020.9208097
Polina Demochkina, A. Savchenko
In this paper, we address the problem of detecting small objects on high-quality X-ray imagesusing deep neural networks. We propose to implement the two-stage approach, in which, firstly, input image issplit into partially overlapping blocks to make small objects more discriminative for detection. Secondly, the small blocks are fed into conventional single-shot detectors. These detectors are trained using the blocks of the training images extracted by the same procedure.Two datasets of X-ray images from the customs inspection complex are examined in the experimental study. It was shown thatthe proposed algorithm with data augmentationleads tomore precise results when compared to the conventional technique:ourmethod outperforms the traditional approach by 5.4 - 25.7% depending on the type of used backbone convolutional neural network.
{"title":"Improving the Accuracy of One-Shot Detectors for Small Objects in X-ray Images","authors":"Polina Demochkina, A. Savchenko","doi":"10.1109/RusAutoCon49822.2020.9208097","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208097","url":null,"abstract":"In this paper, we address the problem of detecting small objects on high-quality X-ray imagesusing deep neural networks. We propose to implement the two-stage approach, in which, firstly, input image issplit into partially overlapping blocks to make small objects more discriminative for detection. Secondly, the small blocks are fed into conventional single-shot detectors. These detectors are trained using the blocks of the training images extracted by the same procedure.Two datasets of X-ray images from the customs inspection complex are examined in the experimental study. It was shown thatthe proposed algorithm with data augmentationleads tomore precise results when compared to the conventional technique:ourmethod outperforms the traditional approach by 5.4 - 25.7% depending on the type of used backbone convolutional neural network.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125267632","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 : 2020-09-01DOI: 10.1109/RusAutoCon49822.2020.9208153
E. Sosnina, A. Shalukho, N. Erdili
The article is devoted to the control of distribution electrical networks (DEN) with stochastic generation which operate as the Internet of Energy (IoE). The concept of the energy Internet is considered. The analysis of approaches to DEN control is carried out. It is established that the most promising are decentralized and distributed control systems. The basis for developing the intelligent control system (ICS) of DEN with stochastic generation is an approach based on a distributed multi-agent control system (MACS). The main advantages of MACS are openness and scalability. A block diagram of a DEN operating on the IoE principle is presented. The set of agents has been developed for DEN ICS. For each agent, the functions performed have been described and General rules to coordinate actions with other agents have been developed.
{"title":"Intelligent Control System for Distribution Electrical Network with Stochastic Generation","authors":"E. Sosnina, A. Shalukho, N. Erdili","doi":"10.1109/RusAutoCon49822.2020.9208153","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208153","url":null,"abstract":"The article is devoted to the control of distribution electrical networks (DEN) with stochastic generation which operate as the Internet of Energy (IoE). The concept of the energy Internet is considered. The analysis of approaches to DEN control is carried out. It is established that the most promising are decentralized and distributed control systems. The basis for developing the intelligent control system (ICS) of DEN with stochastic generation is an approach based on a distributed multi-agent control system (MACS). The main advantages of MACS are openness and scalability. A block diagram of a DEN operating on the IoE principle is presented. The set of agents has been developed for DEN ICS. For each agent, the functions performed have been described and General rules to coordinate actions with other agents have been developed.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126337627","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 : 2020-09-01DOI: 10.1109/RusAutoCon49822.2020.9208127
A. Andriyanov
The paper covers the issues of improvement of control systems for single-phase power factor correctors which appear to be nonlinear dynamic systems prone to undesired fluctuations in the circuit currents and voltages. The structure of a single-phase power factor correctors control system, providing the desired dynamic operation mode in a wide range of variation of the control system parameters, is proposed. A study of nonlinear dynamics of a single-phase power factor corrector has been carried out and the domains of existence of undesired operation modes have been identified. It is shown that the introduction of nonlinear dynamics control makes it possible to eliminate these domains and ensure operation of the system in the desired dynamic mode, which provides high quality of the output voltage and power consumed from the mains supply. The proposed structure of the control system and the algorithm of its operation can be applied to the design of digital control systems for single-phase power factor correctors.
{"title":"Nonlinear Dynamics Control of Single-phase Power Factor Correctors","authors":"A. Andriyanov","doi":"10.1109/RusAutoCon49822.2020.9208127","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208127","url":null,"abstract":"The paper covers the issues of improvement of control systems for single-phase power factor correctors which appear to be nonlinear dynamic systems prone to undesired fluctuations in the circuit currents and voltages. The structure of a single-phase power factor correctors control system, providing the desired dynamic operation mode in a wide range of variation of the control system parameters, is proposed. A study of nonlinear dynamics of a single-phase power factor corrector has been carried out and the domains of existence of undesired operation modes have been identified. It is shown that the introduction of nonlinear dynamics control makes it possible to eliminate these domains and ensure operation of the system in the desired dynamic mode, which provides high quality of the output voltage and power consumed from the mains supply. The proposed structure of the control system and the algorithm of its operation can be applied to the design of digital control systems for single-phase power factor correctors.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127181989","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 : 2020-09-01DOI: 10.1109/RusAutoCon49822.2020.9208160
D. D. Vasilev, K. Moiseev, S. V. Sidorova
The article considers the results of designing structure and development of the control algorithm of the shutter system for applying two-component ultrathin WSi films at the VUP-11M vacuum coating system with a rotating substrate holder. The algorithm of the operator’s operation in manual mode for obtaining two-component films is analyzed and its disadvantages are described. A procedure has been developed for combining the angle of the substrate in the program and the angle of the substrate in the vacuum chamber. The interface and algorithm of the program for controlling a stepper motor are described. The program allows to rotate the substrate and see its position on the equipment scheme from above. In the tab widget, the operator can calibrate the position of the substrate, rotate the substrate by a given angle, rotate the substrate around its axis or between certain angles for a specified time or number of times, and carry out the process of deposition of two-component films in automatic mode. The use of an automatic film deposition mode increases the reproducibility of film properties.
{"title":"Automation of the Process of Ultrathin Two-Component Films Deposition from Two Sputtering Sources","authors":"D. D. Vasilev, K. Moiseev, S. V. Sidorova","doi":"10.1109/RusAutoCon49822.2020.9208160","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208160","url":null,"abstract":"The article considers the results of designing structure and development of the control algorithm of the shutter system for applying two-component ultrathin WSi films at the VUP-11M vacuum coating system with a rotating substrate holder. The algorithm of the operator’s operation in manual mode for obtaining two-component films is analyzed and its disadvantages are described. A procedure has been developed for combining the angle of the substrate in the program and the angle of the substrate in the vacuum chamber. The interface and algorithm of the program for controlling a stepper motor are described. The program allows to rotate the substrate and see its position on the equipment scheme from above. In the tab widget, the operator can calibrate the position of the substrate, rotate the substrate by a given angle, rotate the substrate around its axis or between certain angles for a specified time or number of times, and carry out the process of deposition of two-component films in automatic mode. The use of an automatic film deposition mode increases the reproducibility of film properties.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122552588","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 : 2020-09-01DOI: 10.1109/RusAutoCon49822.2020.9208156
S. Efimov, S. Knyazev, S. Jatsun
This paper contains the description and results of modeling a miniature autonomous underwater robot (MUUV) with an intelligent control system for monitoring reservoirs. The article shows a structural diagram of a prototype robot equipped with a number of sensors. Human-machine interaction described in combined mode when the operator monitors and controls the underwater robot periodically at certain times, while the robot carries out the movements set by the operator, but otherwise the operator does not control the position. Diagrams of the robot's movement when monitoring reservoirs are shown and optimal control algorithms are synthesized. A method for monitoring reservoirs using a mobile underwater robot has been formalized.
{"title":"Simulation of the Automated Control System for Monitoring Ponds with the Aid of a Miniature Unmanned Underwater Vehicle","authors":"S. Efimov, S. Knyazev, S. Jatsun","doi":"10.1109/RusAutoCon49822.2020.9208156","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208156","url":null,"abstract":"This paper contains the description and results of modeling a miniature autonomous underwater robot (MUUV) with an intelligent control system for monitoring reservoirs. The article shows a structural diagram of a prototype robot equipped with a number of sensors. Human-machine interaction described in combined mode when the operator monitors and controls the underwater robot periodically at certain times, while the robot carries out the movements set by the operator, but otherwise the operator does not control the position. Diagrams of the robot's movement when monitoring reservoirs are shown and optimal control algorithms are synthesized. A method for monitoring reservoirs using a mobile underwater robot has been formalized.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122832260","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 : 2020-09-01DOI: 10.1109/RusAutoCon49822.2020.9208136
Y. Petrov, Yu. V. Sakhanskiy, S. P. Maskov
The most effective resonant mode of industrial explosives ignition by high frequency current was examined. Specifications of electric firing circuit at resonance occurrence in general and special cases were analyzed and defined. Conditions of self-compensation of electric firing circuit reactive parameters were defined. T-circuit equivalent of real electrical firing circuit was developed. Current impulse at resonance was defined. Grapho-analytical method to define refusals or electric detonator operation in the circuit depending on received current impulse was developed. By theory and by experiment were defined reactive elements values, brought into the electric firing circuit in order to achieve resonant mode, also electrical firing circuit general operation mode and in case of resonance and reliability conditions were analyzed. Recommendations for increasing of blasting devices efficiency at electric circuit ignition was provided.
{"title":"Electrical Firing System Optimization at High Frequency Ignition for Industrial Explosives","authors":"Y. Petrov, Yu. V. Sakhanskiy, S. P. Maskov","doi":"10.1109/RusAutoCon49822.2020.9208136","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208136","url":null,"abstract":"The most effective resonant mode of industrial explosives ignition by high frequency current was examined. Specifications of electric firing circuit at resonance occurrence in general and special cases were analyzed and defined. Conditions of self-compensation of electric firing circuit reactive parameters were defined. T-circuit equivalent of real electrical firing circuit was developed. Current impulse at resonance was defined. Grapho-analytical method to define refusals or electric detonator operation in the circuit depending on received current impulse was developed. By theory and by experiment were defined reactive elements values, brought into the electric firing circuit in order to achieve resonant mode, also electrical firing circuit general operation mode and in case of resonance and reliability conditions were analyzed. Recommendations for increasing of blasting devices efficiency at electric circuit ignition was provided.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127839696","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 : 2020-09-01DOI: 10.1109/RusAutoCon49822.2020.9208152
I. Khanykov
This paper considers operations on pixel clusters, image segments; methods of intermediate quality improvement of a given partition and algorithm for generating a hierarchical sequence of piecewise-constant partitions of the original image. The algorithm utilizes total squared error E or standard deviation σ to assess the partition quality. The basis of software-algorithmic toolkit are four operations on pixel clusters and image segments: "merge"–merging the pair of clusters into one, "divide"–dividing cluster into two source ones, "split"–selecting a subset of pixels into a separate cluster and "correct"–reclassifying parts of pixels by excluding them from one cluster and assigning them to another. A coarse hierarchy of clusters (segments) is constructed using the "merge" and "divide" operations. The pair of "split" and "correct" operations modifies an existing hierarchy. The combination of "merge" and "divide" operations forms SI-method for quality improvement of the image partition. SI-method executes as long as there is a triple of segments, the separation of one of which and combination of two other is accompanied by decrease of standard deviation. The "correct" operation generates K-meanless method – the extension of K-means method. K-meanless method redistributes groups of pixels from cluster to cluster until this process reduces the overall value of standard deviation. Aerospace Earth images, including full-dimension, from SIPI USC open international database were used to test run the proposed quasi-optimal clustering algorithm in segmentation and clustering modes. It has been established that clustering in comparison with segmentation gives significantly more accurate results, both in visual perception and in the standard deviation value.
{"title":"Operations, Methods and Algorithm for Quasi-Optimal Clustering in the Problem of Preprocessing of Aerospace Earth Images","authors":"I. Khanykov","doi":"10.1109/RusAutoCon49822.2020.9208152","DOIUrl":"https://doi.org/10.1109/RusAutoCon49822.2020.9208152","url":null,"abstract":"This paper considers operations on pixel clusters, image segments; methods of intermediate quality improvement of a given partition and algorithm for generating a hierarchical sequence of piecewise-constant partitions of the original image. The algorithm utilizes total squared error E or standard deviation σ to assess the partition quality. The basis of software-algorithmic toolkit are four operations on pixel clusters and image segments: \"merge\"–merging the pair of clusters into one, \"divide\"–dividing cluster into two source ones, \"split\"–selecting a subset of pixels into a separate cluster and \"correct\"–reclassifying parts of pixels by excluding them from one cluster and assigning them to another. A coarse hierarchy of clusters (segments) is constructed using the \"merge\" and \"divide\" operations. The pair of \"split\" and \"correct\" operations modifies an existing hierarchy. The combination of \"merge\" and \"divide\" operations forms SI-method for quality improvement of the image partition. SI-method executes as long as there is a triple of segments, the separation of one of which and combination of two other is accompanied by decrease of standard deviation. The \"correct\" operation generates K-meanless method – the extension of K-means method. K-meanless method redistributes groups of pixels from cluster to cluster until this process reduces the overall value of standard deviation. Aerospace Earth images, including full-dimension, from SIPI USC open international database were used to test run the proposed quasi-optimal clustering algorithm in segmentation and clustering modes. It has been established that clustering in comparison with segmentation gives significantly more accurate results, both in visual perception and in the standard deviation value.","PeriodicalId":101834,"journal":{"name":"2020 International Russian Automation Conference (RusAutoCon)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126460127","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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