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2020 XXIII International Conference on Soft Computing and Measurements (SCM)最新文献

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Algebraic Bayesian Networks: Empirical Estimates of the Sensitivity of Local Posteriori Inference 代数贝叶斯网络:局部后验推理灵敏度的经验估计
2020 XXIII International Conference on Soft Computing and Measurements (SCM) Pub Date : 2020-05-01 DOI: 10.1109/SCM50615.2020.9198792
A. Zavalishin, A. Tulupyev, A. Maksimov
{"title":"Algebraic Bayesian Networks: Empirical Estimates of the Sensitivity of Local Posteriori Inference","authors":"A. Zavalishin, A. Tulupyev, A. Maksimov","doi":"10.1109/SCM50615.2020.9198792","DOIUrl":"https://doi.org/10.1109/SCM50615.2020.9198792","url":null,"abstract":"The article is aimed at studying empirical estimates of the sensitivity of the second task of a posteriori inference in a knowledge pattern. The article presents the results of an experiment on finding the relationship between the distortion of incoming information and the results of learning a knowledge pattern. Formally, information distortions were achieved by changing the estimates of the fixed evidence and finding the norm of the difference between the vectors of the original and the resulting evidence. Obtaining empirical estimates is the first example of studying the second task of a posteriori inference in a knowledge pattern. The relevance of the study is emphasized by the growing popularity of machine learning and, most importantly, data preparation, since ABS is one of the few models that can work with inaccurate data.","PeriodicalId":169458,"journal":{"name":"2020 XXIII International Conference on Soft Computing and Measurements (SCM)","volume":"33 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":"133092188","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}
引用次数: 0
Phase Bifurcation Analysis of Nonlinear Dynamical Systems 非线性动力系统的相分岔分析
2020 XXIII International Conference on Soft Computing and Measurements (SCM) Pub Date : 2020-05-01 DOI: 10.1109/SCM50615.2020.9198810
V. Ostrovskii, A. Tutueva, V. Andreev, V. Rybin
{"title":"Phase Bifurcation Analysis of Nonlinear Dynamical Systems","authors":"V. Ostrovskii, A. Tutueva, V. Andreev, V. Rybin","doi":"10.1109/SCM50615.2020.9198810","DOIUrl":"https://doi.org/10.1109/SCM50615.2020.9198810","url":null,"abstract":"In this paper, we introduce a tool for analysis of nonlinear dynamical systems, which we call as phase bifurcation diagrams. This type of diagrams is based on information about the intervals between the peak values of a system state variables, while conventional bifurcation diagrams utilize amplitude values. On the example of the RCL-shunted Josephson junction circuit, we demonstrate the distinctive features, which can only be seen in phase diagrams. The combined application of classical and phase bifurcation diagrams allows us to proceed to the adequate construction of multi-parametric dynamical maps by solving the clustering problem. The optimal clustering was obtained with the density-based machine learning method-DBSCAN. The results of the work are algorithms and software in the LabVIEW environment for the construction of one- and two-dimensional bifurcation diagrams, which can be also applied in the design of neuromorphic systems based on emerging nonlinear devices.","PeriodicalId":169458,"journal":{"name":"2020 XXIII International Conference on Soft Computing and Measurements (SCM)","volume":"120 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":"116246728","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}
引用次数: 1
An Adaptive Weighted Deep Survival Forest 一个自适应加权深生存森林
2020 XXIII International Conference on Soft Computing and Measurements (SCM) Pub Date : 2020-05-01 DOI: 10.1109/SCM50615.2020.9198755
L. Utkin, A. Konstantinov, A. Lukashin, V. Muliukha
{"title":"An Adaptive Weighted Deep Survival Forest","authors":"L. Utkin, A. Konstantinov, A. Lukashin, V. Muliukha","doi":"10.1109/SCM50615.2020.9198755","DOIUrl":"https://doi.org/10.1109/SCM50615.2020.9198755","url":null,"abstract":"An adaptive weighted deep survival forest model for survival analysis is proposed. It can be regarded as an extension of the adaptive weighted deep forest. First, it is based on the deep forest being an ensemble-based model including a set of the random forests organized in a special form of levels of a forest cascade similarly to layers in neural networks. Second, it is based on introducing a special scheme of assigning the weights to instances in the deep forest, which allows us to adapt the random survival forests at every level to training data. One of the main ideas underlying the proposed model is to introduce and to apply a marginal concordance index (MC-index) as a measure of an instance performance and to compute the weights as functions of the MC-index. Numerical examples with real data illustrate the proposed adaptive model.","PeriodicalId":169458,"journal":{"name":"2020 XXIII International Conference on Soft Computing and Measurements (SCM)","volume":"1 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":"123362287","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}
引用次数: 0
Using Accounting Databases for Data Processing within Enterprise Monitoring Systems 在企业监控系统中使用会计数据库进行数据处理
2020 XXIII International Conference on Soft Computing and Measurements (SCM) Pub Date : 2020-05-01 DOI: 10.1109/SCM50615.2020.9198784
Yana A. Bekeneva
{"title":"Using Accounting Databases for Data Processing within Enterprise Monitoring Systems","authors":"Yana A. Bekeneva","doi":"10.1109/SCM50615.2020.9198784","DOIUrl":"https://doi.org/10.1109/SCM50615.2020.9198784","url":null,"abstract":"Process monitoring at enterprises is carried out using various devices, including access control and video surveillance systems. There is a need to analyze data from monitoring systems in order to identify various kinds of anomalies. When generating information about the event, as well as identifying violations, there are a number of tasks associated with identifying inconsistencies between monitoring objects or operational violations. Identification of such anomalies is impossible without applying of additional accounting systems, which store information on employee work schedules, equipment assigned to them, etc. The paper presents an approach that describes the order of use of accounting systems when analyzing data from monitoring systems to detect violations of the regulations.","PeriodicalId":169458,"journal":{"name":"2020 XXIII International Conference on Soft Computing and Measurements (SCM)","volume":"35 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":"125379726","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}
引用次数: 0
Architectural Design of Cyberphysical Monitoring Subsystem 网络物理监控子系统体系结构设计
2020 XXIII International Conference on Soft Computing and Measurements (SCM) Pub Date : 2020-05-01 DOI: 10.1109/SCM50615.2020.9198820
A. Vodyaho, N. Zhukova, M. Chervontsev, S. Abbas
{"title":"Architectural Design of Cyberphysical Monitoring Subsystem","authors":"A. Vodyaho, N. Zhukova, M. Chervontsev, S. Abbas","doi":"10.1109/SCM50615.2020.9198820","DOIUrl":"https://doi.org/10.1109/SCM50615.2020.9198820","url":null,"abstract":"The article addresses the design of cyberphysical monitoring system. The main problem of monitoring is the dynamism of structure and dynamism of business processes. A model approach to the construction of monitoring system is proposed. An architectural approach based on architectural tactics is proposed for the design of monitoring system.","PeriodicalId":169458,"journal":{"name":"2020 XXIII International Conference on Soft Computing and Measurements (SCM)","volume":"97 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":"130883835","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}
引用次数: 1
Using the Model of a Functional Rationalizer of Consumer Behavior in Recommendation Systems for Managing the Transport Activity of the Urban Population 利用推荐系统中消费者行为的功能合理化模型管理城市人口的交通活动
2020 XXIII International Conference on Soft Computing and Measurements (SCM) Pub Date : 2020-05-01 DOI: 10.1109/SCM50615.2020.9198786
Y. Seliverstov, S. A. Seliverstov, N. Podoprigora, A. L. Starichenkov, R. Naryshkin
{"title":"Using the Model of a Functional Rationalizer of Consumer Behavior in Recommendation Systems for Managing the Transport Activity of the Urban Population","authors":"Y. Seliverstov, S. A. Seliverstov, N. Podoprigora, A. L. Starichenkov, R. Naryshkin","doi":"10.1109/SCM50615.2020.9198786","DOIUrl":"https://doi.org/10.1109/SCM50615.2020.9198786","url":null,"abstract":"An overview of existing urban software mobile applications of the transport and economic direction is given. A model of a functional rationalizer of consumer behavior is being built. The software model of the functional rationalizer of consumer behavior (SM FRCB) was developed for the first time. PMFRCB allows the user to expand the number of his preferred needs (occupations, activities) during the daily cycle through intelligent recommendations. Also, SM FRCB allows you to optimize needs (activities, activities) at the cost and rate of their use. The SM FRCB is made in Python_3 using the libraries matplotlib, collections, numpy, pyplot, mplot3d. The analysis of consumer behavior before and after using the functional rationalizer model is carried out. The graphical results of a structural analysis of the costs of old and new consumer behavior, analysis of consumer behavior within the boundaries of the theory of possibilities and the model of transport behavior of a resident before and after applying the functional rationalizer model are presented. The prospects of further improving the SM FRCB are considered.","PeriodicalId":169458,"journal":{"name":"2020 XXIII International Conference on Soft Computing and Measurements (SCM)","volume":"1 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":"126396972","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}
引用次数: 0
Uncertainty in Modeling and Control Problems of Complex, Poorly Formalized Multicomponent Systems 复杂、不良形式化多组件系统建模与控制问题中的不确定性
2020 XXIII International Conference on Soft Computing and Measurements (SCM) Pub Date : 2020-05-01 DOI: 10.1109/SCM50615.2020.9198814
S. Zbrishchak, L. Zvyagin
{"title":"Uncertainty in Modeling and Control Problems of Complex, Poorly Formalized Multicomponent Systems","authors":"S. Zbrishchak, L. Zvyagin","doi":"10.1109/SCM50615.2020.9198814","DOIUrl":"https://doi.org/10.1109/SCM50615.2020.9198814","url":null,"abstract":"Uncertainties can occur in various types of complex systems, having a significant impact on the entire modeling process. The analyst needs to eliminate uncertainties at each stage of modeling and functioning of complex systems. In modeling, an important task is to analyze the uncertainty in order to get high-quality control of a complex system. Next, we will consider complex poorly formalized multicomponent systems that can form a component based on achieving a common goal and/or eliminating uncertainty. In order to eliminate uncertainty at the stage of design and operation of multicomponent systems, or to reduce the degree of its influence, the principle of uncertainty compensation is formulated. The implementation of this principle is to disclose the procedural component of eliminating uncertainties. In this case, the researcher can use various techniques to eliminate uncertainties, but the conceptual framework must remain unchanged.","PeriodicalId":169458,"journal":{"name":"2020 XXIII International Conference on Soft Computing and Measurements (SCM)","volume":"61 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":"126232800","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}
引用次数: 0
Information Technology for Modeling Human-machine Control Systems and Approach to Integration of Mathematical Models for Its Improvement 人机控制系统建模的信息技术及其改进的数学模型集成方法
2020 XXIII International Conference on Soft Computing and Measurements (SCM) Pub Date : 2020-05-01 DOI: 10.1109/SCM50615.2020.9198791
E. Lavrov, P. Paderno, E. Burkov, O. Siryk, N. Pasko
{"title":"Information Technology for Modeling Human-machine Control Systems and Approach to Integration of Mathematical Models for Its Improvement","authors":"E. Lavrov, P. Paderno, E. Burkov, O. Siryk, N. Pasko","doi":"10.1109/SCM50615.2020.9198791","DOIUrl":"https://doi.org/10.1109/SCM50615.2020.9198791","url":null,"abstract":"Ergonomic issues of automation of complex production facilities are considered. It is proposed to use ergonomic functional approach and network modeling of control processes as a basis for solving problems of adaptation of technical component to human-operator. Based on a set of proposed mathematical models, a computer system for solving ergonomic problems of increasing the efficiency of automated systems has been developed. The need to develop the existing set of models the directions of fuzzy expert assessment and simulation of human-machine interaction processes is justified.","PeriodicalId":169458,"journal":{"name":"2020 XXIII International Conference on Soft Computing and Measurements (SCM)","volume":"198 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":"124366529","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}
引用次数: 2
Applicability of Similarity Coefficients in Social Circle Matching 相似系数在社交圈匹配中的适用性
2020 XXIII International Conference on Soft Computing and Measurements (SCM) Pub Date : 2020-05-01 DOI: 10.1109/SCM50615.2020.9198782
A. Korepanova, V. Oliseenko, M. Abramov
{"title":"Applicability of Similarity Coefficients in Social Circle Matching","authors":"A. Korepanova, V. Oliseenko, M. Abramov","doi":"10.1109/SCM50615.2020.9198782","DOIUrl":"https://doi.org/10.1109/SCM50615.2020.9198782","url":null,"abstract":"This study focuses on the comparison and selection of the similarity coefficient for comparing social circles of users. Comparison of the social environment is used in comparing profiles in various social networking cites and identifying those that belong to one user. Six similarity coefficients are compared using machine learning methods and mathematical statistics. The selected coefficient will allow us to more accurately compare social circles of users and increase efficiency of the binary classifier (logistic regression) determining pair of profiles in various social networking cite belonging to one user. In addition, results of this study can be used in the analysis of social networking cites, for example, in the tasks of social computing.","PeriodicalId":169458,"journal":{"name":"2020 XXIII International Conference on Soft Computing and Measurements (SCM)","volume":"19 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120913951","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}
引用次数: 6
Comparative Analysis of MADM Approaches: ELECTRE, TOPSIS and Multi-level LDM Methodology MADM方法之比较分析:ELECTRE、TOPSIS与多层次LDM方法
2020 XXIII International Conference on Soft Computing and Measurements (SCM) Pub Date : 2020-05-01 DOI: 10.1109/SCM50615.2020.9198752
A. Demidovskij
{"title":"Comparative Analysis of MADM Approaches: ELECTRE, TOPSIS and Multi-level LDM Methodology","authors":"A. Demidovskij","doi":"10.1109/SCM50615.2020.9198752","DOIUrl":"https://doi.org/10.1109/SCM50615.2020.9198752","url":null,"abstract":"There are multiple Multi-Attribute Decision Making methods elaborated for the past years. Those methods are targeted at aggregating assessments provided by the stakeholders of the problematic situation in order to choose the best alternative from the set of given ones. This paper considers ELECTRE, TOPSIS and the Multi-Level Linguistic Decision Making Methodology. In this paper we try to challenge first two methods by comparing it to latter method. One of the biggest challenges of modern Decision Making methods is flexibility to accept not only quantitative assessments but also hybrid ones: qualitative, interval, mixed etc. This brings the necessity for fuzzy computations. Decision Making methods analysis is performed through deep dive in constitution of each method and comparison across the set of elaborated criteria. Key criteria for the Decision Making methods assessment were identified and the comparative analysis on the base of two scenarios of different complexity was elaborated. The conclusion is made that ELECTRE and TOPSIS are well suited for small problems containing only several (less than a dozen) alternatives and criteria while being hardly generalized for the case of poorly structured problems (pollution, hunger, poverty). At the same time, Multi-Level Linguistic Decision Making Methodology excels at analyzing the problem from multiple aspects and considering any number of experts with arbitrary expertise that is beneficial in complex decision making cases.","PeriodicalId":169458,"journal":{"name":"2020 XXIII International Conference on Soft Computing and Measurements (SCM)","volume":"36 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":"133771823","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}
引用次数: 5
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