M. Krasnyanskiy, A. Obukhov, D. Dedov, A. Siukhin, A. Arkhipov
{"title":"自适应仿真器可视化组件选择算法。","authors":"M. Krasnyanskiy, A. Obukhov, D. Dedov, A. Siukhin, A. Arkhipov","doi":"10.34131/msf.20.1.57-71","DOIUrl":null,"url":null,"abstract":"The paper presents an algorithm for selecting visualization components for adaptive simulators. Classification system for grouping and ranking visualization components has been developed. The algorithm allows to formalize the main objects of the technical system, for which the simulator is developed, correlate them with visualization components, evaluate and classify visualization components according to five criteria: integration time, utilization value and quality of component visualization, training period and quality of training, optimal solutions. The algorithm has formed the basis for the development of an adaptive simulator for the coal mining industry.","PeriodicalId":132132,"journal":{"name":"MANNED SPACEFLIGHT","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Algorithm for Selecting Visualization Components for Adaptive Simulators.\",\"authors\":\"M. Krasnyanskiy, A. Obukhov, D. Dedov, A. Siukhin, A. Arkhipov\",\"doi\":\"10.34131/msf.20.1.57-71\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents an algorithm for selecting visualization components for adaptive simulators. Classification system for grouping and ranking visualization components has been developed. The algorithm allows to formalize the main objects of the technical system, for which the simulator is developed, correlate them with visualization components, evaluate and classify visualization components according to five criteria: integration time, utilization value and quality of component visualization, training period and quality of training, optimal solutions. The algorithm has formed the basis for the development of an adaptive simulator for the coal mining industry.\",\"PeriodicalId\":132132,\"journal\":{\"name\":\"MANNED SPACEFLIGHT\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"MANNED SPACEFLIGHT\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.34131/msf.20.1.57-71\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"MANNED SPACEFLIGHT","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34131/msf.20.1.57-71","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Algorithm for Selecting Visualization Components for Adaptive Simulators.
The paper presents an algorithm for selecting visualization components for adaptive simulators. Classification system for grouping and ranking visualization components has been developed. The algorithm allows to formalize the main objects of the technical system, for which the simulator is developed, correlate them with visualization components, evaluate and classify visualization components according to five criteria: integration time, utilization value and quality of component visualization, training period and quality of training, optimal solutions. The algorithm has formed the basis for the development of an adaptive simulator for the coal mining industry.