| Presentation | 2014-01-24 Selective Compressed Sensing Method for Low Power Highway Bridge Monitoring Haruki KAWAKAMI, Yoshihiro KAWAHARA, Masami KISHIRO, Takahiro KUDO, Tohru ASAMI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Assuming the change in the eigenfrequency is used for the bridge structure diagnosis by wireless accelerometers, two data compression methods for energy-efficient communications, such as compressed sensing and our proposed selective sensing are evaluated by the probabilities to keep the frequency corresponding to the maximum power spectrum before and after compression. The selective sensing replaces the sensing matrix by a Walsh matrix with a reduced number of row vectors to extract the targeted frequency band. Compressed sensing and our method can restore the original peak frequency with a probability of 70% and 90%, and reduce the power consumption by 50% and 40% respectively. Two systems are exchangeable by swapping the sensing matrix by the other, and can be used together without any change in the receiver side. Thus an adaptive sensing can be achieved by exchanging the two methods. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Compressed Sensing / Walsh Matrix / L1 Norm Minimization / Acceleration Sensor / Structural Health Monitoring |
| Paper # | ASN2013-159 |
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| Conference Information | |
| Committee | ASN |
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| Conference Date | 2014/1/16(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
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| Paper Information | |
| Registration To | Ambient intelligence and Sensor Networks(ASN) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Selective Compressed Sensing Method for Low Power Highway Bridge Monitoring |
| Sub Title (in English) | |
| Keyword(1) | Compressed Sensing |
| Keyword(2) | Walsh Matrix |
| Keyword(3) | L1 Norm Minimization |
| Keyword(4) | Acceleration Sensor |
| Keyword(5) | Structural Health Monitoring |
| 1st Author's Name | Haruki KAWAKAMI |
| 1st Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo() |
| 2nd Author's Name | Yoshihiro KAWAHARA |
| 2nd Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo |
| 3rd Author's Name | Masami KISHIRO |
| 3rd Author's Affiliation | Fuji Electric Co., Ltd. |
| 4th Author's Name | Takahiro KUDO |
| 4th Author's Affiliation | Fuji Electric Co., Ltd. |
| 5th Author's Name | Tohru ASAMI |
| 5th Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo |
| Date | 2014-01-24 |
| Paper # | ASN2013-159 |
| Volume (vol) | vol.113 |
| Number (no) | 399 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |