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2022 XXV International Conference on Soft Computing and Measurements (SCM)最新文献

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Fuzzy Logic in PRO-networks in the System of Simulation Modeling of Production Processes 生产过程仿真建模系统中pro -network中的模糊逻辑
2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794887
Mark S. Sevastyanov, Natalia E. Novakova
{"title":"Fuzzy Logic in PRO-networks in the System of Simulation Modeling of Production Processes","authors":"Mark S. Sevastyanov, Natalia E. Novakova","doi":"10.1109/scm55405.2022.9794887","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794887","url":null,"abstract":"The paper deals with the mathematical apparatus of PRO-nets - modifications of Petri nets, modified by fuzzy calculations. The device is used as a basis for a system of simulation modeling of technological processes of production. The paper describes how to use fuzzy logic to organize the transition process between net states.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123284762","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
Detection of Anomalous Components in Spatial Surveys Based on a Multidimensional Model of Poisson Flows and their Cognitive Visualization 基于泊松流多维模型的空间测量异常分量检测及其认知可视化
2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794845
V. Gorokhov, I. Brusakova
{"title":"Detection of Anomalous Components in Spatial Surveys Based on a Multidimensional Model of Poisson Flows and their Cognitive Visualization","authors":"V. Gorokhov, I. Brusakova","doi":"10.1109/scm55405.2022.9794845","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794845","url":null,"abstract":"The paper proposes a technique for detecting anomalous components in spatial scans of multidimensional data in the tasks of multidimensional reviews in GIS technologies. Detection of anomalous components is carried out on the basis of unbiased algorithms under conditions of deep a priori uncertainty regarding the parameters of the distributions of survey data. The results of the detection are controlled by means of cognitive computer graphics. The methods are used to process multidimensional data of astronomical observations. These methods are very successfully applied in astrophysics and can be used for a wide range of tasks in BIG DATA. The methodology of such a combination can also be focused on the identification and forecasting of emergency situations in complex systems.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123445354","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
Shear Strength Prediction of Unusual Interior Reinforced Concrete Beam-Column Joint Using Multi-Layer Neural Network: a Data Collection by Digital 3D Finite Element Simulation 基于多层神经网络的钢筋混凝土内梁柱节点抗剪强度预测——基于数字三维有限元模拟的数据采集
2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794890
Christ John L. Marcos, D. Silva
{"title":"Shear Strength Prediction of Unusual Interior Reinforced Concrete Beam-Column Joint Using Multi-Layer Neural Network: a Data Collection by Digital 3D Finite Element Simulation","authors":"Christ John L. Marcos, D. Silva","doi":"10.1109/scm55405.2022.9794890","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794890","url":null,"abstract":"One of the controversial topics in the literature on structural engineering is retrofitting existing substandard interior reinforced concrete beam-column joints. However, these retrofitting methods gave an unusual shape to the joints, causing the unpredictability of their strength. A machine learning application was developed to predict the shear strength of unusual joint, farther finite element analysis was utilized to generate 3D samples as a training dataset. The paper presented detailed methodologies and discussions of the two disciplines. Powerful digital technologies and computer systems shown dominance by presenting the performance and regression analysis through different trained neural network models. Sensitivity analysis was conducted utilizing connection weights algorithm to determine the relative importance factor.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123369809","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
Service for Monitoring and Control of Remote Testing by Video Information 视频信息远程测试监控服务
2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794842
Ivan S. Grigoriev
{"title":"Service for Monitoring and Control of Remote Testing by Video Information","authors":"Ivan S. Grigoriev","doi":"10.1109/scm55405.2022.9794842","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794842","url":null,"abstract":"The report provides a description of the existing proctoring systems. Possible violations and methods for their detection are described. As a result, a decision was made to develop our own violation detection service. The architecture of the proposed solution and methods for detecting violations are presented.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"214 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114971542","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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