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dc.contributor.authorLin, Chia-Yuen_US
dc.contributor.authorWang, Li-Chunen_US
dc.date.accessioned2017-04-21T06:49:04Z-
dc.date.available2017-04-21T06:49:04Z-
dc.date.issued2015en_US
dc.identifier.isbn978-1-4799-6959-3en_US
dc.identifier.urihttp://hdl.handle.net/11536/135937-
dc.description.abstractMobile devices become popular with the help of hardware improvements and new functions supported by many sensors. In this paper, we propose a mobile and multi-sensing fusion platform to integrate the unstructured streaming sensing data collecting as well as processing technology and build a QoS performance model to estimate the computing resource of the platform. We also demonstrate three mobile and multi-sensing fusion applications as the examples on the platform. Besides, we discuss the trend and challenges of combining the mobile and multi-sensing fusion technology and signal and information processing in mobile cloud computing in great detail.en_US
dc.language.isoen_USen_US
dc.subjectmobile cloud computingen_US
dc.subjectmulti-sensing fusion technologyen_US
dc.titleSignal and Information Processing in Mobile Cloud Computing: Trends and Challengesen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2015 INTERNATIONAL CONFERENCE ON COMPUTING, NETWORKING AND COMMUNICATIONS (ICNC)en_US
dc.citation.spage625en_US
dc.citation.epage629en_US
dc.contributor.department電機學院zh_TW
dc.contributor.departmentCollege of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000380557400114en_US
dc.citation.woscount0en_US
Appears in Collections:Conferences Paper