{"title":"面向海域感知的数据融合系统优化设计(海报)","authors":"M. Hadzagic, E. Shahbazian","doi":"10.1109/COGSIMA.2018.8423993","DOIUrl":null,"url":null,"abstract":"This paper discusses various design challenges to optimize fusion in the contexts of system capabilities and requirements constrained by application specific data characteristics, user expectations as well as programmatic constraints like cost and time. It provides a use-case in which a data driven and scenario-based design (SBD) methodology has been used to design a surveillance system to improve situation understanding and aid decision making in the maritime domain. It is shown for a real data fusion application that the incremental SBD methodology can be optimal with respect to all types of requirements in the presence of all design constraints.","PeriodicalId":231353,"journal":{"name":"2018 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Towards an Optimal Design of a Data Fusion System for Maritime Domain Awareness (Poster)\",\"authors\":\"M. Hadzagic, E. Shahbazian\",\"doi\":\"10.1109/COGSIMA.2018.8423993\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper discusses various design challenges to optimize fusion in the contexts of system capabilities and requirements constrained by application specific data characteristics, user expectations as well as programmatic constraints like cost and time. It provides a use-case in which a data driven and scenario-based design (SBD) methodology has been used to design a surveillance system to improve situation understanding and aid decision making in the maritime domain. It is shown for a real data fusion application that the incremental SBD methodology can be optimal with respect to all types of requirements in the presence of all design constraints.\",\"PeriodicalId\":231353,\"journal\":{\"name\":\"2018 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COGSIMA.2018.8423993\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COGSIMA.2018.8423993","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards an Optimal Design of a Data Fusion System for Maritime Domain Awareness (Poster)
This paper discusses various design challenges to optimize fusion in the contexts of system capabilities and requirements constrained by application specific data characteristics, user expectations as well as programmatic constraints like cost and time. It provides a use-case in which a data driven and scenario-based design (SBD) methodology has been used to design a surveillance system to improve situation understanding and aid decision making in the maritime domain. It is shown for a real data fusion application that the incremental SBD methodology can be optimal with respect to all types of requirements in the presence of all design constraints.