| Presentation | 2014-01-24 F-CODE : A data abstraction approach for Compressive Sensing in Mobile Sensing Application Akito ITO, Jin NAKAZAWA, Kazunori TAKASHIO, Hideyuki TOKUDA, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | Compressive Sensing / Information Processing / System Architecture / Mobile Sensing |
| Paper # | ASN2013-160 |
| Date of Issue |
| Conference Information | |
| Committee | ASN |
|---|---|
| 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 | |
| Secretary | |
| Assistant | |
| Paper Information | |
| Registration To | Ambient intelligence and Sensor Networks(ASN) |
|---|---|
| Language | ENG |
| 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) | |
| Keyword(1) | Compressive Sensing |
| Keyword(2) | Information Processing |
| Keyword(3) | System Architecture |
| Keyword(4) | Mobile Sensing |
| 1st Author's Name | Akito ITO |
| 1st Author's Affiliation | Graduate School of Media and Governance, Keio Univ.() |
| 2nd Author's Name | Jin NAKAZAWA |
| 2nd Author's Affiliation | Faculty of Environment and Information Studies, Keio Univ. |
| 3rd Author's Name | Kazunori TAKASHIO |
| 3rd Author's Affiliation | Faculty of Environment and Information Studies, Keio Univ. |
| 4th Author's Name | Hideyuki TOKUDA |
| 4th Author's Affiliation | Graduate School of Media and Governance, Keio Univ. |
| Date | 2014-01-24 |
| Paper # | ASN2013-160 |
| Volume (vol) | vol.113 |
| Number (no) | 399 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |