Z. Abdoulaeva, V. Vinogradov, M. Topuzov, D. P. Makarenko
{"title":"System’s Dependability & Survivability as Local Features of Technical Resilience","authors":"Z. Abdoulaeva, V. Vinogradov, M. Topuzov, D. P. Makarenko","doi":"10.1109/SCM50615.2020.9198798","DOIUrl":"https://doi.org/10.1109/SCM50615.2020.9198798","url":null,"abstract":"Purpose: To show that the dependability and survivability of technical systems can be considered together, within the framework of the concept of technical resilience, using unified fuzzy-logical descriptions.Methods: For stand-alone refrigeration supply systems with a reserve of time, several models and methods for jointly taking dependability and survivability into account, with an assessment of the level of stability by the criterion of functional operational risk (FOR), are offered.Result: A joint analysis of the dependability and survivability of technical systems avoids a conflict in the distribution of resources to ensure resilience in general, since the properties of dependability and survivability can conflict with each other.Conclusions: The approach based on the concept of global resilience allows us to expand the initial technical model infinitely, adding descriptions for the economic and organizational systems, which, as applied to the initial technical system, act as over-systems of management.","PeriodicalId":169458,"journal":{"name":"2020 XXIII International Conference on Soft Computing and Measurements (SCM)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127046359","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}
M. M. Kopichev, A. Kuznetsov, A. Muzalevskiy, T. L. Rusyaeva
{"title":"Ball and Beam Stabilization Laboratory Test Bench With Intellectual Control","authors":"M. M. Kopichev, A. Kuznetsov, A. Muzalevskiy, T. L. Rusyaeva","doi":"10.1109/SCM50615.2020.9198776","DOIUrl":"https://doi.org/10.1109/SCM50615.2020.9198776","url":null,"abstract":"Control of unstable plants is very important issue both for technical and for research fields of knowledge. This paper describes the design of laboratory test bench and microcontroller based control system with computer vision application for the ball and beam system stabilization research The goal of microcontroller based control system is to bring the ball to desired equilibrium spot of beam and maintain its position under external disturbances. Ball tracking system is based upon the infrared camera with infrared projector application, beam inclination angle changes with servomotor and control system is written on C language for AVR microcontroller.","PeriodicalId":169458,"journal":{"name":"2020 XXIII International Conference on Soft Computing and Measurements (SCM)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123708342","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}
Wenlong Yi, Yingding Zhao, Yingzhao Jiang, Hongyun Yang
{"title":"Computer-aided Geometric Modeling of Plant Cell Shape and Design of Its Topological Retrieval Algorithms","authors":"Wenlong Yi, Yingding Zhao, Yingzhao Jiang, Hongyun Yang","doi":"10.1109/SCM50615.2020.9198804","DOIUrl":"https://doi.org/10.1109/SCM50615.2020.9198804","url":null,"abstract":"Using the knowledge of information technology and physical mechanics to simulate the evolution of plant cell shapes is helpful to explore the mechanism of plant tissue and organ formation. However, the traditional numerical modeling based on curves and surfaces is difficult to accurately locate a geometric fragment of cell shape, resulting in the inability to analyze the stress and strain of the fragment freely. In this study, a plant cell shape is firstly decomposed into a body, faces, edges, and vertexes from top to bottom using the n-dimensional generalized mapping theory. Then, the 1-, 2-and 3-dimensional topologies of the cell shape are constructed by combining these topologies from bottom to top using the “half-edge” structure of 0-dimensional topology, and the corresponding retrieval algorithms are designed. Finally, the program is achieved by the C++ programming language and the OpenGL graphics library. The experimental results show that users could not only retrieve the geometric units of cell shape freely, but also highlight the query results in the program through the query interface of this program. The results of this study can provide an automatic topological retrieval of a cell shape for the elastic mechanical modeling of cell shape deformation.","PeriodicalId":169458,"journal":{"name":"2020 XXIII International Conference on Soft Computing and Measurements (SCM)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121920025","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":"Application of the Altematives Method Probabilities in Construction of Intensity of User Communications Estimates","authors":"A. Khlobystova, M. Abramov, T. Tulupyeva","doi":"10.1109/SCM50615.2020.9198751","DOIUrl":"https://doi.org/10.1109/SCM50615.2020.9198751","url":null,"abstract":"One of the most topical issues in the field of cybersecurity is a steady increasing numbers of successful social engineering attacks. For assessment of information system, users require the ability to assess of the intensity of user communications in social networks. However, this information is a set of linguistic variables and requires quantification. The purpose of this article is to propose approach to assignment of model parameters for estimates of the probability of multiway social engineering attack. To achieve this goal, the three different modifications of the method by Khovanov were proposed. The modifications are based on the assumption that experts could not only rank the linguistic variables, but give it rough estimates, thereby considerably empower for following quantification. Theoretical relevance of the research is a new approach to getting probability estimates from non-numeric information. Practical relevance of the research is to building a foundation for following use on the evaluation of the probability of propagation of multiway social engineering attacks and analysis of the social graph of organization employees. Thereby we lay the basis of subsequent diagnostics of information systems to identify vulnerabilities to social engineering attacks, as well as to solve social computing problems.","PeriodicalId":169458,"journal":{"name":"2020 XXIII International Conference on Soft Computing and Measurements (SCM)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116955178","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":"Classification of Spacecraft Based on an Analysis of their Motion","authors":"Kirill S. Rogov, I. Kholod","doi":"10.1109/SCM50615.2020.9198775","DOIUrl":"https://doi.org/10.1109/SCM50615.2020.9198775","url":null,"abstract":"This article describes the classification of cataloged data about space objects according to public information regarding their motion. The information under analysis is which of available attributes are necessary and sufficient to classify them without loss of accuracy. The next aspect under inquiry is the possibility of solving the mentioned problem with a Normal Bayes Algorithm which allows to build a classifier in one data pass, which is critical in case of getting information in real-time mode.","PeriodicalId":169458,"journal":{"name":"2020 XXIII International Conference on Soft Computing and Measurements (SCM)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115385807","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}
Alexandr N. Gubin, Vladislav L. Litvinov, Felix V. Filippov
{"title":"Estimation of Information Efficiency for Digital Information Processing Devices","authors":"Alexandr N. Gubin, Vladislav L. Litvinov, Felix V. Filippov","doi":"10.1109/SCM50615.2020.9198780","DOIUrl":"https://doi.org/10.1109/SCM50615.2020.9198780","url":null,"abstract":"A wide class of digital data processing devices is presented – from smoothing filters to artificial neural networks using autoencoders as an example, the main purpose of which is to extract hidden information from input signals. The report proposes an approach to quantifying the information efficiency of information processing devices based on the concept of Kolmogorov Complexity, the dynamics of changes in entropy and the Kullback-Leibler divergence as a measure of the difference between probability distributions.","PeriodicalId":169458,"journal":{"name":"2020 XXIII International Conference on Soft Computing and Measurements (SCM)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115482171","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}
M. V. Alyushin, L. Kolobashkina, Vladimir R. Parakhin, S. Dvoryankin
{"title":"Obtaining Reliable Biometric Information in the Analysis of Vibration Images of the Operator’s Face to Ensure the Reliability of the Human Factor of Potentially Dangerous Objects","authors":"M. V. Alyushin, L. Kolobashkina, Vladimir R. Parakhin, S. Dvoryankin","doi":"10.1109/SCM50615.2020.9198760","DOIUrl":"https://doi.org/10.1109/SCM50615.2020.9198760","url":null,"abstract":"The technology for processing facial vibroimage is identified as one of the most promising for the development of remote non-contact monitoring systems for the functional and psycho-emotional state (FPS) of potentially dangerous objects (PDO) control operators. It is shown that temporary instability and spatial unevenness of the coverage of the face area in real production conditions are the main destabilizing factors that reduce the reliability of the of the operator’s current bio-parameters measurement. An approach is proposed and substantiated that allows minimizing the influence of these factors. The approach takes into account the influence of the color temperature of an external light source and is based on independent compensation of destabilizing factors in various spectra of optical radiation.","PeriodicalId":169458,"journal":{"name":"2020 XXIII International Conference on Soft Computing and Measurements (SCM)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122854458","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":"Optimization of Complex Microelectronic Systems at Design Rules Uncertainty by the Management of their Elements Matching","authors":"S. Mironov, L. E. Andreev","doi":"10.1109/SCM50615.2020.9198801","DOIUrl":"https://doi.org/10.1109/SCM50615.2020.9198801","url":null,"abstract":"The approach to reduction of the area on a chip of complex microelectronic systems developed by the authors, based on layout design methods in conditions of design rules uncertainty, is described. The high packing density of complex objects is ensured by a layout compaction algorithm based on a virtual grid and original phased matching method of complex objects modules by dimensions and by their pins position.","PeriodicalId":169458,"journal":{"name":"2020 XXIII International Conference on Soft Computing and Measurements (SCM)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123174750","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":"SCM 2020 Index","authors":"","doi":"10.1109/scm50615.2020.9198756","DOIUrl":"https://doi.org/10.1109/scm50615.2020.9198756","url":null,"abstract":"","PeriodicalId":169458,"journal":{"name":"2020 XXIII International Conference on Soft Computing and Measurements (SCM)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121790873","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":"Soft Measurements as a Basis for Parametric and Structural Identification for Production Process Management and Quality Assessment","authors":"S. G. Zbrishchakl, L. Zvyagin","doi":"10.1109/SCM50615.2020.9198822","DOIUrl":"https://doi.org/10.1109/SCM50615.2020.9198822","url":null,"abstract":"Today, soft measurements and calculations are included in the new information technologies and computer technologies of the sixth generation. The soft measurement branch is a branch of soft computing in which information technologies of soft computing components are implemented on the principle of unity of measurements with metrological support of the solution. As a result, the new direction of soft measurement can apply the advantages of soft computing (processing speed, various forms of representation of the results obtained, and metrological complexes that include indicators such as uncertainty used in the soft computing system) to carry out measurement processes, improving the measurement result. Also, soft computing systems are expanding their application areas, increasing their computing power through the effective use of numerical information processing methods, and for the first time providing the opportunity to purposefully regulate and evaluate the quality of the resulting solution.","PeriodicalId":169458,"journal":{"name":"2020 XXIII International Conference on Soft Computing and Measurements (SCM)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126790564","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}