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2020 IEEE 2nd International Conference on System Analysis & Intelligent Computing (SAIC)最新文献

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Modelling Discontinuous Stress Fields in Multilayer Coatings of Automobile Roads 汽车道路多层涂层中不连续应力场的建模
2020 IEEE 2nd International Conference on System Analysis & Intelligent Computing (SAIC) Pub Date : 2020-10-05 DOI: 10.1109/SAIC51296.2020.9239207
Viktor Gaydaychuk, N. Shlyun, L. Shevchuk, O. Kutsman
{"title":"Modelling Discontinuous Stress Fields in Multilayer Coatings of Automobile Roads","authors":"Viktor Gaydaychuk, N. Shlyun, L. Shevchuk, O. Kutsman","doi":"10.1109/SAIC51296.2020.9239207","DOIUrl":"https://doi.org/10.1109/SAIC51296.2020.9239207","url":null,"abstract":"The paper presents the results of a computer analysis of the stress-strain states of multilayered asphalt-concrete pavements under the influence of transport loads in the conditions of seasonal and daily changes in ambient temperature. On the basis of finite element model of thermo-force deformation of coatings studies of the peculiarities of mechanical behavior of the systems under consideration have been performed under various structural schemes, loading conditions, cracks, and delaminations. The effects of stress concentration in the system due to high-gradient temperature fields and structural imperfections of the layer coating are revealed.","PeriodicalId":208407,"journal":{"name":"2020 IEEE 2nd International Conference on System Analysis & Intelligent Computing (SAIC)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117176221","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
System Approach to Mathematical Description of Transport Processes with Chemical Reaction in Multiphase Multicomponent Body 多相多组分体中化学反应输运过程数学描述的系统方法
2020 IEEE 2nd International Conference on System Analysis & Intelligent Computing (SAIC) Pub Date : 2020-10-05 DOI: 10.1109/SAIC51296.2020.9239181
O. Chernukha, Y. Bilushchak, Bohdan Pakholok
{"title":"System Approach to Mathematical Description of Transport Processes with Chemical Reaction in Multiphase Multicomponent Body","authors":"O. Chernukha, Y. Bilushchak, Bohdan Pakholok","doi":"10.1109/SAIC51296.2020.9239181","DOIUrl":"https://doi.org/10.1109/SAIC51296.2020.9239181","url":null,"abstract":"In the work the system approach to the description of complex and compound systems is proposed. It is based on the synthesis of the classical mathematical modeling approach of coupled processes of different physical nature in nonhomogeneous media for a well-structured part of the system and the non-classical statistical approach to modeling an unknown boundary condition based on experimental data.","PeriodicalId":208407,"journal":{"name":"2020 IEEE 2nd International Conference on System Analysis & Intelligent Computing (SAIC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125149690","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
Probabilistic Data Analysis in Non-Stationary Processes Forecasting 非平稳过程预测中的概率数据分析
2020 IEEE 2nd International Conference on System Analysis & Intelligent Computing (SAIC) Pub Date : 2020-10-05 DOI: 10.1109/SAIC51296.2020.9239200
P. Bidyuk, S. Polozhaenko, N. Kuznietsova, L. Levenchuk
{"title":"Probabilistic Data Analysis in Non-Stationary Processes Forecasting","authors":"P. Bidyuk, S. Polozhaenko, N. Kuznietsova, L. Levenchuk","doi":"10.1109/SAIC51296.2020.9239200","DOIUrl":"https://doi.org/10.1109/SAIC51296.2020.9239200","url":null,"abstract":"A modified approach to the Bayesian data analysis is proposed and an original methodology for identifying and accounting the possible uncertainties that exist in modelling and predicting non-stationary processes problems is developed. A new methodology for the combined model implementation is considered. It includes the following elements: the Bayesian data processing method, the optimal data processing filter, regression models for the statistical data formally describing and predicting the conditional variance, and the probabilistic Bayesian network model for predicting non-stationary processes. The conducted computational experiments for the financial market indicators forecasting showed that the quality of short-term volatility forecasts is significantly improved due to the optimal filtering procedure and the right choice of model structure.","PeriodicalId":208407,"journal":{"name":"2020 IEEE 2nd International Conference on System Analysis & Intelligent Computing (SAIC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129480035","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
Track 1: System analysis of complex systems 议题1:复杂系统的系统分析
2020 IEEE 2nd International Conference on System Analysis & Intelligent Computing (SAIC) Pub Date : 2020-10-05 DOI: 10.1109/saic51296.2020.9239142
{"title":"Track 1: System analysis of complex systems","authors":"","doi":"10.1109/saic51296.2020.9239142","DOIUrl":"https://doi.org/10.1109/saic51296.2020.9239142","url":null,"abstract":"","PeriodicalId":208407,"journal":{"name":"2020 IEEE 2nd International Conference on System Analysis & Intelligent Computing (SAIC)","volume":"23 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125956682","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
Towards Unranked Fuzzy Theory 对未排序模糊理论
2020 IEEE 2nd International Conference on System Analysis & Intelligent Computing (SAIC) Pub Date : 2020-10-05 DOI: 10.1109/SAIC51296.2020.9239168
A. Bishara, Mikheil Rukhaia
{"title":"Towards Unranked Fuzzy Theory","authors":"A. Bishara, Mikheil Rukhaia","doi":"10.1109/SAIC51296.2020.9239168","DOIUrl":"https://doi.org/10.1109/SAIC51296.2020.9239168","url":null,"abstract":"One of the main tools in knowledge representation is ontology, which is a collection of logic-based formal language sentences. These sentences are used by automated reasoning programs to extract new knowledge and answer to the given questions. Although ontology languages are standardized by W3C, there are still many problems remaining. One of the most important problems is related to, so called, fuzzy ontologies. These are ontologies, where information is vague and imprecise. Fuzzy ontologies are obtained by integrating fuzzy logic with ontologies. Such kind of ontologies have applications in many different fields, such as medicine, biology, e-commerce and the like. In this paper, we develop an unranked fuzzy logic and study some of its properties. The novelty of our approach is that we will extend many-valued logics with sequence variables and flexiblearity function and predicate symbols. To the best of our knowledge, such formalisms are not yet studied in the literature. The unranked fuzzy language will broaden the knowledge engineering capabilities in different fields.","PeriodicalId":208407,"journal":{"name":"2020 IEEE 2nd International Conference on System Analysis & Intelligent Computing (SAIC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126765193","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
Models of Estimation and Analysis of a Systemic Risk in the Banking Sector 银行业系统性风险的估计与分析模型
2020 IEEE 2nd International Conference on System Analysis & Intelligent Computing (SAIC) Pub Date : 2020-10-05 DOI: 10.1109/SAIC51296.2020.9239193
L. Guryanova, L. Bogachkova, O. Zyma, Mariia Novosel, Nataliya Poluektova, V. Gvozdytskyi
{"title":"Models of Estimation and Analysis of a Systemic Risk in the Banking Sector","authors":"L. Guryanova, L. Bogachkova, O. Zyma, Mariia Novosel, Nataliya Poluektova, V. Gvozdytskyi","doi":"10.1109/SAIC51296.2020.9239193","DOIUrl":"https://doi.org/10.1109/SAIC51296.2020.9239193","url":null,"abstract":"The paper is devoted to a methodological approach to the forming of a model basis of estimation of a systemic risk in the banking sector, which is based on multivariate analysis methods, panel data and graph theory. The proposed approach includes the following blocks: forecasting the indicators of prudential regulation at the level of the banking system as a whole; estimation of the risk of loss of systemic stability by the banking sector; grouping of banks by level of financial security; estimation of the risk of default of large financial institutions; forming and analysis of scenarios of reactions of indicators of banks financial security to the impact of external “shocks”; network risk assessment. The proposed approach and model basis can be considered as a decision support tool for assessing the stability of the banking sector to the effects of “shocks” and as the tool of forming of a preventive financial stabilization policy.","PeriodicalId":208407,"journal":{"name":"2020 IEEE 2nd International Conference on System Analysis & Intelligent Computing (SAIC)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131671658","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
Method of Deformed Stars for Global Optimization 变形星的全局优化方法
2020 IEEE 2nd International Conference on System Analysis & Intelligent Computing (SAIC) Pub Date : 2020-10-05 DOI: 10.1109/SAIC51296.2020.9239208
Nataliia Tmienova, Vitaliy Snytyuk
{"title":"Method of Deformed Stars for Global Optimization","authors":"Nataliia Tmienova, Vitaliy Snytyuk","doi":"10.1109/SAIC51296.2020.9239208","DOIUrl":"https://doi.org/10.1109/SAIC51296.2020.9239208","url":null,"abstract":"In this paper, a new method of global optimization based on the ideas and principles of the evolutionary paradigm was proposed. A generalization of the method of deformed stars for n-dimensional case has been developed. This method is based on the assumption of rational use of potential solutions groups, which allows increasing the rate of convergence and the accuracy of result. Populations of potential solutions are used to optimize the multivariable function, as well as their transformation, in particular, the operations of deformation, rotation and compression. The results of the application of the method of deformed stars to the known polyextreme functions optimization underline the advantages of its use.","PeriodicalId":208407,"journal":{"name":"2020 IEEE 2nd International Conference on System Analysis & Intelligent Computing (SAIC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116138800","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: 4
Breathmonitor: Sleep Apnea Mobile Detector Breathmonitor:睡眠呼吸暂停移动检测器
2020 IEEE 2nd International Conference on System Analysis & Intelligent Computing (SAIC) Pub Date : 2020-10-05 DOI: 10.1109/SAIC51296.2020.9239236
A. Petrenko
{"title":"Breathmonitor: Sleep Apnea Mobile Detector","authors":"A. Petrenko","doi":"10.1109/SAIC51296.2020.9239236","DOIUrl":"https://doi.org/10.1109/SAIC51296.2020.9239236","url":null,"abstract":"This paper describes the on-line AI system for diagnosis and monitoring sleep apnea at home, based on the processing of human respiratory signals from an accelerometer and pressure transducer composition by using Deep machine learning and alternative louder analytics","PeriodicalId":208407,"journal":{"name":"2020 IEEE 2nd International Conference on System Analysis & Intelligent Computing (SAIC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132116182","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
Fractal Analysis of Thyroid Ultrasound Image Data Evaluation 甲状腺超声图像数据评价的分形分析
2020 IEEE 2nd International Conference on System Analysis & Intelligent Computing (SAIC) Pub Date : 2020-10-05 DOI: 10.1109/SAIC51296.2020.9239183
Ebru Aydindag Bayrak, Pınar Kırcı
{"title":"Fractal Analysis of Thyroid Ultrasound Image Data Evaluation","authors":"Ebru Aydindag Bayrak, Pınar Kırcı","doi":"10.1109/SAIC51296.2020.9239183","DOIUrl":"https://doi.org/10.1109/SAIC51296.2020.9239183","url":null,"abstract":"The prediction or early diagnosis of thyroid diseases is really important for healthy life of people. Computer aid diagnosis (CAD) system and ultrasound diagnostic technology can be pretty useful for any treatment thyroid diseases such as lesion, cyst and nodule. In our study is used fractal analysis that can be said as a branch of CAD system and ultrasound diagnostic technology, for analyzing thyroid ultrasound image data. The growth of any lesion or nodule on thyroid can be estimated from fractal analysis on ultrasound images of a thyroid patient. Fractal analysis used as an ultrasound diagnostic technology can help in preventing redundant needle biopsy to patients who have benign thyroid nodules.","PeriodicalId":208407,"journal":{"name":"2020 IEEE 2nd International Conference on System Analysis & Intelligent Computing (SAIC)","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123596964","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
Track 2: Computational intelligence 第二分会:计算智能
2020 IEEE 2nd International Conference on System Analysis & Intelligent Computing (SAIC) Pub Date : 2020-10-05 DOI: 10.1109/saic51296.2020.9239133
{"title":"Track 2: Computational intelligence","authors":"","doi":"10.1109/saic51296.2020.9239133","DOIUrl":"https://doi.org/10.1109/saic51296.2020.9239133","url":null,"abstract":"","PeriodicalId":208407,"journal":{"name":"2020 IEEE 2nd International Conference on System Analysis & Intelligent Computing (SAIC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124873912","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
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