Demo abstract : IODetector – a generic service for indoor outdoor detection
A generic and lightweight service for indoor and outdoor detection is demonstrated that mainly uses three lightweight sensing resources, including light sensors, cell tower signals and magnetism sensors, to make ambient environment detection in a fast, accurate and efficient manner. In particular, w...
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sg-ntu-dr.10356-842342020-05-28T07:17:29Z Demo abstract : IODetector – a generic service for indoor outdoor detection Zhou, Pengfei. Zheng, Yuanqing. Li, Zhenjiang. Li, Mo. Shen, Guobin. School of Computer Engineering Conference on Embedded Network Sensor Systems (10th : 2012 : Toronto, Canada) DRNTU::Engineering::Computer science and engineering A generic and lightweight service for indoor and outdoor detection is demonstrated that mainly uses three lightweight sensing resources, including light sensors, cell tower signals and magnetism sensors, to make ambient environment detection in a fast, accurate and efficient manner. In particular, we do not need to fingerprint the environment to acquire a priori knowledge. Thus the proposed system greatly benefits many location-based and context-ware applications. 2013-07-24T03:28:24Z 2019-12-06T15:41:04Z 2013-07-24T03:28:24Z 2019-12-06T15:41:04Z 2012 2012 Conference Paper Zhou, P., Zheng, Y., Li, Z., Li, M., & Shen, G. (2012). Demo Abstract: IODetector – A Generic Service for Indoor Outdoor Detection. Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems - SenSys '12. https://hdl.handle.net/10356/84234 http://hdl.handle.net/10220/12093 10.1145/2426656.2426709 en © 2012 ACM. |
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DRNTU::Engineering::Computer science and engineering Zhou, Pengfei. Zheng, Yuanqing. Li, Zhenjiang. Li, Mo. Shen, Guobin. Demo abstract : IODetector – a generic service for indoor outdoor detection |
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A generic and lightweight service for indoor and outdoor detection is demonstrated that mainly uses three lightweight sensing resources, including light sensors, cell tower signals and magnetism sensors, to make ambient environment detection in a fast, accurate and efficient manner. In particular, we do not need to fingerprint the environment to acquire a priori knowledge. Thus the proposed system greatly benefits many location-based and context-ware applications. |
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School of Computer Engineering |
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School of Computer Engineering Zhou, Pengfei. Zheng, Yuanqing. Li, Zhenjiang. Li, Mo. Shen, Guobin. |
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Conference or Workshop Item |
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Zhou, Pengfei. Zheng, Yuanqing. Li, Zhenjiang. Li, Mo. Shen, Guobin. |
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Zhou, Pengfei. |
title |
Demo abstract : IODetector – a generic service for indoor outdoor detection |
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Demo abstract : IODetector – a generic service for indoor outdoor detection |
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Demo abstract : IODetector – a generic service for indoor outdoor detection |
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Demo abstract : IODetector – a generic service for indoor outdoor detection |
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Demo abstract : IODetector – a generic service for indoor outdoor detection |
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demo abstract : iodetector – a generic service for indoor outdoor detection |
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2013 |
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https://hdl.handle.net/10356/84234 http://hdl.handle.net/10220/12093 |
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