| 言語種別 | 英語 |
|---|---|
| 発行・発表の年月 | 2013/10 |
| 形態種別 | 国際会議論文 |
| 標題 | REPSense: On-line Sensor Data Reduction for Mobile Sensing by Preserving Data DiversityREPSense: On-line Sensor Data Reduction for Mobile Sensing |
| 執筆形態 | 共著 |
| 掲載誌名 | IEEE WiMob 2013, October, France, 2013. |
| 出版社・発行元 | IEEE WiMob |
| 巻・号・頁 | 584-591 |
| 著者・共著者 | Guangwen Liu,Iwai, M.,Tobe, Y. ,Sezaki, K. |
| 概要 | REPresentative Sense (REPSense) borrows the idea from electoral system. Hence, after data reduction, output data (target) can represent the original data (source) as parliament members are elected to delegate their constituencies. This method can compress multi-dimensional data with arbitrary distribution. We evaluated our method using real-world datasets collected by 12 users over a period of 4 months. |
| DOI | 10.1109/WiMOB.2013.6673417 |
| ISSNコード | 2160-4886 |