Abstract | ||
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This paper seeks to improve power-performance efficiency of embedded systems by the use of dynamic reconfiguration. Programmable logic devices (PLDs) have the competence to optimize the power consumption by the use of partial and/or dynamic reconfiguration. It is a non-exclusive approach, which can use other power-reduction techniques simultaneous, and thus it is applicable to a myriad of systems. The power-performance improvement by dynamic reconfiguration was evaluated through an augmented reality system that translates Japanese into English. It is a wearable and mobile system with a head-mounted display (HMD). In the system, the computing core detects a Japanese word from an input video frame and the translated term will be output to the HMD. It includes various image processing approaches such as pattern recognition and object tracking, and these functions run sequentially. The system does not need to prepare all functions simultaneously, which provides a function by reconfiguration only when it is needed. In other words, by dynamic reconfiguration, the spatiotemporal module-based pipeline can introduce the reduction of its circuit amount and power consumption compared to the naive approach. The approach achieved marked improvements; the computational speed was the same but the power consumption was reduced to around 1/6. |
Year | DOI | Venue |
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2015 | 10.1587/transinf.2014RCP0015 | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS |
Keywords | Field | DocType |
dynamic reconfiguration, power performance, video processing, image recognition, object tracking, embedded / wearable computing | Video processing,Efficient energy use,Computer science,Wearable computer,Image processing,Augmented reality,Video tracking,Control reconfiguration,Embedded system,Programmable logic device | Journal |
Volume | Issue | ISSN |
E98D | 2 | 1745-1361 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Keisuke Kinoshita | 1 | 494 | 54.81 |
Yoshiki Yamaguchi | 2 | 231 | 34.53 |
Daisuke Takano | 3 | 1 | 0.70 |
Tomoyuki Okamura | 4 | 1 | 0.70 |
Tetsuhiko Yao | 5 | 3 | 1.08 |