Signal and Information Processing in Mobile Cloud Computing: Trends and Challenges
| dc.citation.epage | 629 | en_US |
| dc.citation.spage | 625 | en_US |
| dc.citation.woscount | 0 | en_US |
| dc.contributor.author | Lin, Chia-Yu | en_US |
| dc.contributor.author | Wang, Li-Chun | en_US |
| dc.contributor.department | 電機學院 | zh_TW |
| dc.contributor.department | College of Electrical and Computer Engineering | en_US |
| dc.date.accessioned | 2017-04-21T06:49:04Z | |
| dc.date.available | 2017-04-21T06:49:04Z | |
| dc.date.issued | 2015 | en_US |
| dc.description.abstract | Mobile 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.identifier.isbn | 978-1-4799-6959-3 | en_US |
| dc.identifier.journal | 2015 INTERNATIONAL CONFERENCE ON COMPUTING, NETWORKING AND COMMUNICATIONS (ICNC) | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/135937 | |
| dc.identifier.wosnumber | WOS:000380557400114 | en_US |
| dc.language.iso | en_US | en_US |
| dc.subject | mobile cloud computing | en_US |
| dc.subject | multi-sensing fusion technology | en_US |
| dc.title | Signal and Information Processing in Mobile Cloud Computing: Trends and Challenges | en_US |
| dc.type | Proceedings Paper | en_US |
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