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Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/111691

Title:	A platform for detecting height-level contexts from complex event streams in pervasive environment
Authors:	廖峻鋒 Liao, Chun Feng Chen, Kung Cheng, C.-T. Weng, T.-Y. Lu, W.-C. 陳恭
Contributors:	資訊科學系
Keywords:	Causality analysis;Complex event processing;Complex event processing (CEP);Human activities;Pervasive environments;Service applications;Service management;Smart environment;Ubiquitous computing
Date:	2015-04
Issue Date:	2017-08-09 17:27:20 (UTC+8)
Abstract:	A Pervasive-computing-enriched smart environment, which contains hundreds of embedded devices coordinated by service management mechanisms, is capable of anticipating intensions of occupants and providing appropriate services accordingly. To acquire high-level contexts, such as human activities, usually involves analyzing and identifying causality and temporal ordering relationships among a bulk stream of sensor readings. However, there are relatively few works investigating this issue. We notice that Complex Event Processing (CEP) is useful for dealing with the issue mentioned above. In this work, we propose a platform for integrating CEP concepts with Per SAM, a service application model for pervasive environments. Applications and experiments are performed to verify the effectiveness of the proposed platform. © 2015 IEEE.
Relation:	Proceedings - 2015 International Conference on Platform Technology and Service, PlatCon 2015, 7-8
Data Type:	conference
DOI 連結:	http://dx.doi.org/10.1109/PlatCon.2015.22
DOI:	10.1109/PlatCon.2015.22
Appears in Collections:	[資訊科學系] 會議論文

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