| Paper Abstract and Keywords |
| Presentation |
2014-01-24 16:15
F-CODE: A data abstraction approach for Compressive Sensing in Mobile Sensing Application Akito Ito, Jin Nakazawa, Kazunori Takashio, Hideyuki Tokuda (Keio Univ.) ASN2013-160 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Mobile sensing is attractive area for researchers and developers in recent years. Especially, the emergence of Smartphone accelerates this condition. Although these platforms and applications are developing more and more, there are critical issue; handling huge sensor data. The computing time of many classification or detection algorithms that are commonly used in this area depends on data length. Thus, larger data makes huge overheads. We propose F-CODE: a data abstraction approach for compressive sensing. F-CODE aims to compress the data with maintaining the feature of signals and the algorithms can apply to it despite target data is still compressed. In order to achieve the purpose, we design the feature measurement matrix $phi_f$ . We evaluate F-CODE in terms of the accuracy of feature extracting assuming specific mobile sensing application. In the best case, F-CODE achieve the accuracy by 68.3%. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Compressive Sensing / Information Processing / System Architecture / Mobile Sensing / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 113, no. 399, ASN2013-160, pp. 237-241, Jan. 2014. |
| Paper # |
ASN2013-160 |
| 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) |
| Download PDF |
ASN2013-160 |
| 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 |
English |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
F-CODE: A data abstraction approach for Compressive Sensing in Mobile Sensing Application |
| Sub Title (in English) |
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| Keyword(1) |
Compressive Sensing |
| Keyword(2) |
Information Processing |
| Keyword(3) |
System Architecture |
| Keyword(4) |
Mobile Sensing |
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| 1st Author's Name |
Akito Ito |
| 1st Author's Affiliation |
Keio University (Keio Univ.) |
| 2nd Author's Name |
Jin Nakazawa |
| 2nd Author's Affiliation |
Keio University (Keio Univ.) |
| 3rd Author's Name |
Kazunori Takashio |
| 3rd Author's Affiliation |
Keio University (Keio Univ.) |
| 4th Author's Name |
Hideyuki Tokuda |
| 4th Author's Affiliation |
Keio University (Keio Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2014-01-24 16:15:00 |
| Presentation Time |
25 minutes |
| Registration for |
ASN |
| Paper # |
ASN2013-160 |
| Volume (vol) |
vol.113 |
| Number (no) |
no.399 |
| Page |
pp.237-241 |
| #Pages |
5 |
| Date of Issue |
2014-01-16 (ASN) |