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題名 A platform for detecting height-level contexts from complex event streams in pervasive environment
作者 廖峻鋒
Liao, Chun Feng
Chen, Kung
Cheng, C.-T.
Weng, T.-Y.
Lu, W.-C.
陳恭
貢獻者 資訊科學系
關鍵詞 Causality analysis; Complex event processing; Complex event processing (CEP); Human activities; Pervasive environments; Service applications; Service management; Smart environment; Ubiquitous computing
日期 2015-04
上傳時間 9-八月-2017 17:27:20 (UTC+8)
摘要 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.
關聯 Proceedings - 2015 International Conference on Platform Technology and Service, PlatCon 2015, 7-8
資料類型 conference
DOI http://dx.doi.org/10.1109/PlatCon.2015.22
dc.contributor 資訊科學系zh_Tw
dc.creator (作者) 廖峻鋒zh_TW
dc.creator (作者) Liao, Chun Fengen_US
dc.creator (作者) Chen, Kungen_US
dc.creator (作者) Cheng, C.-T.en_US
dc.creator (作者) Weng, T.-Y.en_US
dc.creator (作者) Lu, W.-C.en_US
dc.creator (作者) 陳恭zh_TW
dc.date (日期) 2015-04en_US
dc.date.accessioned 9-八月-2017 17:27:20 (UTC+8)-
dc.date.available 9-八月-2017 17:27:20 (UTC+8)-
dc.date.issued (上傳時間) 9-八月-2017 17:27:20 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/111691-
dc.description.abstract (摘要) 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.en_US
dc.format.extent 207 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Proceedings - 2015 International Conference on Platform Technology and Service, PlatCon 2015, 7-8en_US
dc.subject (關鍵詞) Causality analysis; Complex event processing; Complex event processing (CEP); Human activities; Pervasive environments; Service applications; Service management; Smart environment; Ubiquitous computingen_US
dc.title (題名) A platform for detecting height-level contexts from complex event streams in pervasive environmenten_US
dc.type (資料類型) conference-
dc.identifier.doi (DOI) 10.1109/PlatCon.2015.22-
dc.doi.uri (DOI) http://dx.doi.org/10.1109/PlatCon.2015.22-