REAL-TIME OBJECT RECOGNITION WITH NEURO-FUZZY CONTROLLED WORKLOAD-AWARE TASK PIPELINING

Cited 6 time in webofscience Cited 0 time in scopus
  • Hit : 180
  • Download : 14
A PROPOSED OBJECT RECOGNITION PROCESSOR LIGHTENS ITS WORKLOAD BY ESTIMATING GLOBAL REGION-OF-INTEREST FEATURES. A NEURO-FUZZY CONTROLLER PERFORMS INTELLIGENT ROI ESTIMATION BY MIMICKING THE HUMAN VISUAL SYSTEM, THEN MANAGES THE PROCESSOR'S OVERALL PIPELINE STAGES USING WORKLOAD-AWARE TASK SCHEDULING AND APPLIED DATABASE SIZE CONTROL. THE NFC PERFORMS WORKLOAD-AWARE DYNAMIC POWER MANAGEMENT TO REDUCE THE PROPOSED PROCESSOR'S POWER CONSUMPTION.
Publisher
IEEE COMPUTER SOC
Issue Date
2009-11
Language
English
Article Type
Article
Citation

IEEE MICRO, v.29, no.6, pp.28 - 43

ISSN
0272-1732
DOI
10.1109/MM.2009.102
URI
http://hdl.handle.net/10203/94413
Appears in Collection
EE-Journal Papers(저널논문)
Files in This Item
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 6 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0