Paper Abstract and Keywords |
Presentation |
2014-01-24 15:50
Selective Compressed Sensing Method for Low Power Highway Bridge Monitoring Haruki Kawakami, Yoshihiro Kawahara (Univ. of Tokyo), Masami Kishiro, Takahiro Kudo (Fuji Electric), Tohru Asami (Univ. of Tokyo) ASN2013-159 |
Abstract |
(in Japanese) |
(See Japanese page) |
(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) |
(in English) |
Compressed Sensing / Walsh Matrix / L1 Norm Minimization / Acceleration Sensor / Structural Health Monitoring / / / |
Reference Info. |
IEICE Tech. Rep., vol. 113, no. 399, ASN2013-159, pp. 231-236, Jan. 2014. |
Paper # |
ASN2013-159 |
Date of Issue |
2014-01-16 (ASN) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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ASN2013-159 |
Conference Information |
Committee |
ASN MoNA |
Conference Date |
2014-01-23 - 2014-01-24 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Hotel Okudogo (Matsuyama) |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Mobile Networks, Mobile Applications, Ambient Intelligence, Sensor Networks, etc. |
Paper Information |
Registration To |
ASN |
Conference Code |
2014-01-ASN-MoNA |
Language |
Japanese |
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) |
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Keyword(1) |
Compressed Sensing |
Keyword(2) |
Walsh Matrix |
Keyword(3) |
L1 Norm Minimization |
Keyword(4) |
Acceleration Sensor |
Keyword(5) |
Structural Health Monitoring |
Keyword(6) |
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Keyword(7) |
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1st Author's Name |
Haruki Kawakami |
1st Author's Affiliation |
The University of Tokyo (Univ. of Tokyo) |
2nd Author's Name |
Yoshihiro Kawahara |
2nd Author's Affiliation |
The University of Tokyo (Univ. of Tokyo) |
3rd Author's Name |
Masami Kishiro |
3rd Author's Affiliation |
Fuji Electric Co., Ltd. (Fuji Electric) |
4th Author's Name |
Takahiro Kudo |
4th Author's Affiliation |
Fuji Electric Co., Ltd. (Fuji Electric) |
5th Author's Name |
Tohru Asami |
5th Author's Affiliation |
The University of Tokyo (Univ. of Tokyo) |
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Speaker |
Author-1 |
Date Time |
2014-01-24 15:50:00 |
Presentation Time |
25 minutes |
Registration for |
ASN |
Paper # |
ASN2013-159 |
Volume (vol) |
vol.113 |
Number (no) |
no.399 |
Page |
pp.231-236 |
#Pages |
6 |
Date of Issue |
2014-01-16 (ASN) |
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