| Presentation | 2017-03-02 A Study of Probabilistic Position Information using Absolute and Relative Position Information Ryoma Tabata, Arisa Hayashi, Sachio Saiki, Masahide Nakamura, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Position information is classified into 2 categories: absolute position information and relative position information. The former is expressed by an absolute coordinate system such as latitude/longitude and address. The latter is expressed by a relative coordinate system which shows a positional relation of 2 objects. Absolute/relative position information differs on a coordinate system, thus they cannot cross-reference. If there is position information that can be converted from both of them to express position more flexible, it can infer new position information by a cooperation of position information expressed by different systems. In this study, we propose probabilistic position information which expresses position by combinations of area and probability of presence. The probabilistic position information can express position which is inferred from logs of absolute/relative position information and which was invisible so far. Then, we consider an algorithm that infers the probabilistic position information from 2 kinds of position information; absolute position information that expresses geographic coordinates (latitude and longitude), and relative position information that expresses pass-by of 2 objects. Finally, we consider designing of a service which applies the algorithm. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Position Information / Pass-by / Absolute Position Information / Relative Position Information / Probabilistic Position Information |
| Paper # | LOIS2016-64 |
| Date of Issue | 2017-02-23 (LOIS) |
| Conference Information | |
| Committee | LOIS |
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| Conference Date | 2017/3/2(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | N.Ohama Memorial Hall |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Nobumoto Ohama Memorial Hall |
| Chair | Hiroyuki Nishi(Sojo Univ.) |
| Vice Chair | Tomohiro Yamada(NTT) |
| Secretary | Tomohiro Yamada(NTT) |
| Assistant | Yukihiro Nakamura(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Life Intelligence and Office Information Systems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study of Probabilistic Position Information using Absolute and Relative Position Information |
| Sub Title (in English) | |
| Keyword(1) | Position Information |
| Keyword(2) | Pass-by |
| Keyword(3) | Absolute Position Information |
| Keyword(4) | Relative Position Information |
| Keyword(5) | Probabilistic Position Information |
| 1st Author's Name | Ryoma Tabata |
| 1st Author's Affiliation | Kobe University(Kobe Univ.) |
| 2nd Author's Name | Arisa Hayashi |
| 2nd Author's Affiliation | Kobe University(Kobe Univ.) |
| 3rd Author's Name | Sachio Saiki |
| 3rd Author's Affiliation | Kobe University(Kobe Univ.) |
| 4th Author's Name | Masahide Nakamura |
| 4th Author's Affiliation | Kobe University(Kobe Univ.) |
| Date | 2017-03-02 |
| Paper # | LOIS2016-64 |
| Volume (vol) | vol.116 |
| Number (no) | LOIS-488 |
| Page | pp.pp.13-18(LOIS), |
| #Pages | 6 |
| Date of Issue | 2017-02-23 (LOIS) |