C. Pham, T. T. T. Tran, Hoai Phuong Dang, Van Ha Mai
{"title":"A non–convex total generalized variation model for image denoising","authors":"C. Pham, T. T. T. Tran, Hoai Phuong Dang, Van Ha Mai","doi":"10.35470/2226-4116-2023-12-1-70-81","DOIUrl":"https://doi.org/10.35470/2226-4116-2023-12-1-70-81","url":null,"abstract":"We propose an effective regularization model based on second–order total generalized variation for image restoration with mixed Poisson–Gaussian noise. An efficient alternating minimization algorithm is employed to solve the considered model. Finally, provided numerical results show that our proposed model can preserve more details and get higher image visual quality than recent state-of-the-art methods.","PeriodicalId":37674,"journal":{"name":"Cybernetics and Physics","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42555407","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}
{"title":"Boris Teodorovich Polyak","authors":"A. Fradkov, O. Granichin","doi":"10.35470/2226-4116-2023-12-1-89-92","DOIUrl":"https://doi.org/10.35470/2226-4116-2023-12-1-89-92","url":null,"abstract":"In the paper, a brief history of life and work of the celebrated Russian mathematician Boris Teodorovich Polyak is exposed. The list of Polyak’s main publications is given.","PeriodicalId":37674,"journal":{"name":"Cybernetics and Physics","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42088292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
V. Istomin, E. Kustova, Semen M. Lagutin, I. Y. Shalamov
{"title":"Evaluation of state-specific transport properties using machine learning methods","authors":"V. Istomin, E. Kustova, Semen M. Lagutin, I. Y. Shalamov","doi":"10.35470/2226-4116-2023-12-1-34-41","DOIUrl":"https://doi.org/10.35470/2226-4116-2023-12-1-34-41","url":null,"abstract":"In this study, machine learning algorithms are employed to calculate state-to-state transport coefficients in nonequilibrium reacting gas flows. The focus is on the evaluation of thermal conductivity, shear viscosity, and bulk viscosity coefficients under conditions of strong coupling between vibrational-chemical kinetics and gas dynamics. In order to solve a regression problem for evaluating state-to-state transport coefficients, a specific software application with user interface is developed, which allows loading, processing, and saving of data arrays; configuring model architecture; training and evaluating models with various optimizers, loss functions, and metrics; making predictions using trained models. Using the developed software the multi-layer perceptron regression model is constructed and trained. The model is assessed in a binary mixture of molecular and atomic nitrogen taking into account 48 vibrational states; the coefficients are computed in the wide temperature range for the varying mixture composition. Good agreement of the results with the original transport coefficients calculated using rigorous but computationally expensive kinetic theory algorithms is shown. Applying machine learning techniques yields a significant speedup\u0000of about two orders of magnitude in the computation of transport coefficients. It is concluded that implementation of machine learning methods may considerably reduce the computational efforts required for nonequilibrium flow simulations.","PeriodicalId":37674,"journal":{"name":"Cybernetics and Physics","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48575939","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}
{"title":"Stochastic generation of oscillations in the 3D-Model of cool-flame combustion of a hydrocarbon mixture","authors":"I. Bashkirtseva, L. Ryashko, Evdokiia Slepukhina","doi":"10.35470/2226-4116-2023-12-1-11-15","DOIUrl":"https://doi.org/10.35470/2226-4116-2023-12-1-11-15","url":null,"abstract":"The stochastic model of cool-flame combustion of a hydrocarbon mixture is considered. For this 3D model, noise excitement of large-amplitude oscillations in the parametric zone, where the deterministic model has a single equilibrium attractor, is studied. By statistics of interspike intervals, a phenomenon of anti-coherence resonance is revealed. To estimate threshold intensities of noise that causes excitement, stochastic sensitivity technique and method of principal directions are applied.","PeriodicalId":37674,"journal":{"name":"Cybernetics and Physics","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47550929","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}
{"title":"A sliding mode technique for reconstruction of unknown control input in linear systems","authors":"A. Zhirabok, A. Zuev, A. Shumsky","doi":"10.35470/2226-4116-2023-12-1-82-88","DOIUrl":"https://doi.org/10.35470/2226-4116-2023-12-1-82-88","url":null,"abstract":"The unknown input estimation problem for linear dynamic systems exposed to the disturbances is studied in the paper. A novel approach to designing sliding mode observer is suggested for systems not satisfying matching, minimum phase, and detectability conditions. To apply this approach, the reduced-order model of the original system is used. Such a model allows to reduce the dimension of the sliding mode observer, besides the restrictions placed on the original system are relaxed.","PeriodicalId":37674,"journal":{"name":"Cybernetics and Physics","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44410982","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}
K. Amelin, O. Granichin, A.V. Leonova, Vikentiy Pankov, Denis Uzhva, V. Erofeeva, Vladislav Ershov
{"title":"A new method of adaptive mesoscale control in complex multiagent networked dynamical systems","authors":"K. Amelin, O. Granichin, A.V. Leonova, Vikentiy Pankov, Denis Uzhva, V. Erofeeva, Vladislav Ershov","doi":"10.35470/2226-4116-2022-11-4-175-189","DOIUrl":"https://doi.org/10.35470/2226-4116-2022-11-4-175-189","url":null,"abstract":"Centralized strategies applied to large-scale systems require a vast amount of computational and communication resources. In contrast to them, distributed strategies offer higher scalability and reliability. However, communication and coordination among agents tremendously impact performance of systems controlled in the distributed manner. The existing methods lead to clustering, where the coordination between agents is limited to groups of entities to be controlled. The size of these groups are usually known in advance. In turn, many systems exhibit self-organization and dynamically form clustering structure. In that sense, control methods should adapt to such dynamic structures offering the same balance between performance and communication/computational demands. In this paper, we propose a new approach to complex system control based on efficient cluster (mesoscopic) control paradigm. We demonstrate its efficacy in scenarios, where a group of agents should reach a certain goal.","PeriodicalId":37674,"journal":{"name":"Cybernetics and Physics","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41406566","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}
{"title":"Overview of models and control methods for step motors and permanent magnet motors","authors":"I. Furtat, N. Slobodzyan, R. A. Pryanichnikov","doi":"10.35470/2226-4116-2022-11-4-190-197","DOIUrl":"https://doi.org/10.35470/2226-4116-2022-11-4-190-197","url":null,"abstract":"This overview is devoted to the description of step motor models and permanent magnet motor models that can be used to design the control law for these devices. These motors are widely used in various practical applications and scientific equipments due to its high accuracy. A number of works on the design of various control laws for these electrical machines are described. The features of each model and the features of obtained considered control laws are given from the point of view of achieving certain physical properties in the obtained closed-loop systems.","PeriodicalId":37674,"journal":{"name":"Cybernetics and Physics","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43689170","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}
{"title":"Adaptive tracking of multisinusoidal signal for linear system with input delay and external disturbances","authors":"Tung Nguyen Khac, S. Vlasov, A. Pyrkin","doi":"10.35470/2226-4116-2022-11-4-198-204","DOIUrl":"https://doi.org/10.35470/2226-4116-2022-11-4-198-204","url":null,"abstract":"The problem of adaptive tracking of the output variable of a linear stationary plant behind a multiharmonic signal under conditions of control delay and external disturbances is considered. The state vector of the object is not available for direct measurements. The reference and disturbance signal parameters (amplitudes, phases, and harmonic frequencies) are a priori unknown, and a new algorithm is proposed to improve the performance of frequency estimation of a multisinusoidal signal. Examples are given that confirm the relevance of the proposed approach.","PeriodicalId":37674,"journal":{"name":"Cybernetics and Physics","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44247884","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}
Anastasia Laushkina, Ivan Smirnov, A. Medvedev, A. Laptev, Mikhail Sinko
{"title":"Detecting incongruity in the expression of emotions in short videos based on a multimodal approach","authors":"Anastasia Laushkina, Ivan Smirnov, A. Medvedev, A. Laptev, Mikhail Sinko","doi":"10.35470/2226-4116-2022-11-4-210-216","DOIUrl":"https://doi.org/10.35470/2226-4116-2022-11-4-210-216","url":null,"abstract":"Every day people face uncertainty, which is already an integral part of their lives. Uncertainty creates risks for various kinds of companies, in particular, the financial sector may incur losses due to various kinds of human errors. People turn to the opinion of experts who have special knowledge to eliminate this uncertainty. It is established that the expert shows insolvency if he uses incongruent manipulation techniques. In this article we propose a method that allows solving the problem of congruence estimation. The hypothesis that a person with a prepared speech and a person with a spontaneous speech will have a different level of congruence is also put forward and tested in this work. The similarity of emotional states of verbal and nonverbal channels is evaluated in our solution for determining congruence. Convolutional neural networks (CNN) were used to assess a person’s emotional state from video and audio, speeth-to-text to extract the text of the speaker’s speech, and a pre-trained BERT model for subsequent analysis of emotional color. Tests have shown that with the help of this development it is possible not only to distinguish the incongruence of a person, but also to point out the unnatural nature of his origin (to distinguish a simply incongruent person from a deepfake).","PeriodicalId":37674,"journal":{"name":"Cybernetics and Physics","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47705111","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}
{"title":"The parameters of radio frequency quadrupole linear accelerator for DARIA project","authors":"G. Kropachev, Aleksey L. Sitnikov, T. Kulevoy","doi":"10.35470/2226-4116-2022-11-4-205-209","DOIUrl":"https://doi.org/10.35470/2226-4116-2022-11-4-205-209","url":null,"abstract":"The new proton linear accelerator (linac) with output energy 13 MeV and 100 mA current is under development at NRC “Kurchatov Institute” - ITEP for DARIA project. The linac consists of Radio-Frequency Quadrupole (RFQ) and Drift Tube Linac (DTL) with operating frequency 162.5 MHz. The RFQ is based on 4-vanes structure with shifted coupling windows. DTL has a modular structure and consists of separated individually phased cavities with focusing magnetic quadrupoles located between the cavities. The DTL is based on interdigital H-mode (IHDTL) 5-gaps cavities. The 6D beam matching between RFQ and DTL is provided by magnetic quadrupole lenses and RF-bunchers. The paper presents results of the radio-frequency (RF) design, thermal analyses and RF tuning of RFQ linac accelerating structure.","PeriodicalId":37674,"journal":{"name":"Cybernetics and Physics","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49585953","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}