DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, Jun-Young | ko |
dc.contributor.author | Hong, In-Joon | ko |
dc.contributor.author | Kim, Gyeong-Hoon | ko |
dc.contributor.author | Nam, Byeong-Gyu | ko |
dc.contributor.author | Yoo, Hoi-Jun | ko |
dc.date.accessioned | 2014-09-04T08:44:01Z | - |
dc.date.available | 2014-09-04T08:44:01Z | - |
dc.date.created | 2014-03-25 | - |
dc.date.created | 2014-03-25 | - |
dc.date.issued | 2014-02 | - |
dc.identifier.citation | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, v.61, no.2, pp.476 - 484 | - |
dc.identifier.issn | 1549-8328 | - |
dc.identifier.uri | http://hdl.handle.net/10203/190172 | - |
dc.description.abstract | An intelligent Reinforcement Learning (RL) Network-on-Chip (NoC) is proposed as a communication architecture of a heterogeneous many-core processor for portable HD object recognition. The proposed RL NoC automatically learns bandwidth adjustment and resource allocation in the heterogeneous many-core processor without explicit modeling. By regulating the bandwidth and reallocating cores, the throughput performances of feature detection and description are increased by 20.4% and 11.5%, respectively. As a result, the overall execution time of the object recognition is reduced by 38%. The proposed processor with RL NoC is implemented in a 65 nm CMOS process, and it successfully demonstrates the real-time object recognition for a 720 p HD video stream while consuming 235 mW peak power at 200 MHz, 1.2 V. | - |
dc.language | English | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject | VISUAL-ATTENTION | - |
dc.subject | ENGINE | - |
dc.title | Intelligent Network-on-Chip With Online Reinforcement Learning for Portable HD Object Recognition Processor | - |
dc.type | Article | - |
dc.identifier.wosid | 000331191800014 | - |
dc.identifier.scopusid | 2-s2.0-84893847796 | - |
dc.type.rims | ART | - |
dc.citation.volume | 61 | - |
dc.citation.issue | 2 | - |
dc.citation.beginningpage | 476 | - |
dc.citation.endingpage | 484 | - |
dc.citation.publicationname | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS | - |
dc.identifier.doi | 10.1109/TCSI.2013.2284188 | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.localauthor | Yoo, Hoi-Jun | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Application specific integrated circuits | - |
dc.subject.keywordAuthor | network-on-chip | - |
dc.subject.keywordAuthor | object recognition | - |
dc.subject.keywordAuthor | reinforcement learning | - |
dc.subject.keywordPlus | VISUAL-ATTENTION | - |
dc.subject.keywordPlus | ENGINE | - |
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