Panos Sakkos, D. Kotsakos, V. Kalogeraki, D. Gunopulos, J. Hollmén
{"title":"定义用于结构运行状况监测的移动架构","authors":"Panos Sakkos, D. Kotsakos, V. Kalogeraki, D. Gunopulos, J. Hollmén","doi":"10.1145/2674396.2674468","DOIUrl":null,"url":null,"abstract":"The proliferation of powerful, programmable mobile devices along with the availability of wide-area connectivity has provided a powerful platform to sense and share location, motion, acoustic and visual data. The new generation of smart devices feature a variety of sensors that can be used towards building scalable and extendable monitoring systems with hundreds of nodes. In this paper, we report on work in progress to develop a distributed mobile system for Structural Health Monitoring utilizing smart handheld devices. We describe a distributed clustering algorithm that clusters nodes that produce similar power spectra and thus enables the implementation of decentralized heavy computation monitoring algorithms.","PeriodicalId":192421,"journal":{"name":"Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments","volume":"165 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Defining a mobile architecture for structural health monitoring\",\"authors\":\"Panos Sakkos, D. Kotsakos, V. Kalogeraki, D. Gunopulos, J. Hollmén\",\"doi\":\"10.1145/2674396.2674468\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The proliferation of powerful, programmable mobile devices along with the availability of wide-area connectivity has provided a powerful platform to sense and share location, motion, acoustic and visual data. The new generation of smart devices feature a variety of sensors that can be used towards building scalable and extendable monitoring systems with hundreds of nodes. In this paper, we report on work in progress to develop a distributed mobile system for Structural Health Monitoring utilizing smart handheld devices. We describe a distributed clustering algorithm that clusters nodes that produce similar power spectra and thus enables the implementation of decentralized heavy computation monitoring algorithms.\",\"PeriodicalId\":192421,\"journal\":{\"name\":\"Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments\",\"volume\":\"165 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2674396.2674468\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2674396.2674468","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Defining a mobile architecture for structural health monitoring
The proliferation of powerful, programmable mobile devices along with the availability of wide-area connectivity has provided a powerful platform to sense and share location, motion, acoustic and visual data. The new generation of smart devices feature a variety of sensors that can be used towards building scalable and extendable monitoring systems with hundreds of nodes. In this paper, we report on work in progress to develop a distributed mobile system for Structural Health Monitoring utilizing smart handheld devices. We describe a distributed clustering algorithm that clusters nodes that produce similar power spectra and thus enables the implementation of decentralized heavy computation monitoring algorithms.