{"title":"SensorWorld:统一的基于触摸的全球传感器访问","authors":"Hanjun Xian, K. Madhavan","doi":"10.1109/CMC.2010.321","DOIUrl":null,"url":null,"abstract":"Sensors play a critical role in monitoring environmental metrics, predicting natural hazards and developing sustainable policies. However, policy makers, engineers, scientists, students, and other stakeholders in fields such as environmental and natural resources management very rarely have access to real-world large-scale sensor data. This problem is compounded significantly by diverse and non-standard software interfaces to sensors. Our goal is to document and make available data from a large variety of real-world sensors through an intuitive interface. Our project addresses this problem by implementing a middleware framework and a client on iPhone to facilitate access to sensor data. Currently, we support a total of 1136 sensors from a variety of sources and the dataset is being rapidly expanded.","PeriodicalId":296445,"journal":{"name":"2010 International Conference on Communications and Mobile Computing","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"SensorWorld: Unified Touch-Based Access to Sensors Worldwide\",\"authors\":\"Hanjun Xian, K. Madhavan\",\"doi\":\"10.1109/CMC.2010.321\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sensors play a critical role in monitoring environmental metrics, predicting natural hazards and developing sustainable policies. However, policy makers, engineers, scientists, students, and other stakeholders in fields such as environmental and natural resources management very rarely have access to real-world large-scale sensor data. This problem is compounded significantly by diverse and non-standard software interfaces to sensors. Our goal is to document and make available data from a large variety of real-world sensors through an intuitive interface. Our project addresses this problem by implementing a middleware framework and a client on iPhone to facilitate access to sensor data. Currently, we support a total of 1136 sensors from a variety of sources and the dataset is being rapidly expanded.\",\"PeriodicalId\":296445,\"journal\":{\"name\":\"2010 International Conference on Communications and Mobile Computing\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Communications and Mobile Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CMC.2010.321\",\"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 International Conference on Communications and Mobile Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CMC.2010.321","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SensorWorld: Unified Touch-Based Access to Sensors Worldwide
Sensors play a critical role in monitoring environmental metrics, predicting natural hazards and developing sustainable policies. However, policy makers, engineers, scientists, students, and other stakeholders in fields such as environmental and natural resources management very rarely have access to real-world large-scale sensor data. This problem is compounded significantly by diverse and non-standard software interfaces to sensors. Our goal is to document and make available data from a large variety of real-world sensors through an intuitive interface. Our project addresses this problem by implementing a middleware framework and a client on iPhone to facilitate access to sensor data. Currently, we support a total of 1136 sensors from a variety of sources and the dataset is being rapidly expanded.