{"title":"基于泛在传感器网络的支持不完全传感器信息的主动语义中间件系统设计","authors":"Kwang-Won Lee, J. Park, Ryumduck Oh","doi":"10.1109/ICAICT.2010.5612032","DOIUrl":null,"url":null,"abstract":"Sensor network technology has evolved and been applied to many fields including environmental monitoring and construction management. Further, it has extended to the context awareness service that perceives circumstances in each applied area. In this paper, the present study analyzes the incompleteness of real-time sensor data in in-network and server middleware to deal with incomplete data arising in relation to USN monitoring service, to transform them into meaningful data used in an application system, and ultimately to design a real-time USN middleware system providing active semantic data service that predicts industrial safety hazards.","PeriodicalId":314036,"journal":{"name":"2010 4th International Conference on Application of Information and Communication Technologies","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Design of active semantic middleware system to support incomplete sensor information based on ubiquitous sensor network\",\"authors\":\"Kwang-Won Lee, J. Park, Ryumduck Oh\",\"doi\":\"10.1109/ICAICT.2010.5612032\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sensor network technology has evolved and been applied to many fields including environmental monitoring and construction management. Further, it has extended to the context awareness service that perceives circumstances in each applied area. In this paper, the present study analyzes the incompleteness of real-time sensor data in in-network and server middleware to deal with incomplete data arising in relation to USN monitoring service, to transform them into meaningful data used in an application system, and ultimately to design a real-time USN middleware system providing active semantic data service that predicts industrial safety hazards.\",\"PeriodicalId\":314036,\"journal\":{\"name\":\"2010 4th International Conference on Application of Information and Communication Technologies\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 4th International Conference on Application of Information and Communication Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAICT.2010.5612032\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 4th International Conference on Application of Information and Communication Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAICT.2010.5612032","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of active semantic middleware system to support incomplete sensor information based on ubiquitous sensor network
Sensor network technology has evolved and been applied to many fields including environmental monitoring and construction management. Further, it has extended to the context awareness service that perceives circumstances in each applied area. In this paper, the present study analyzes the incompleteness of real-time sensor data in in-network and server middleware to deal with incomplete data arising in relation to USN monitoring service, to transform them into meaningful data used in an application system, and ultimately to design a real-time USN middleware system providing active semantic data service that predicts industrial safety hazards.