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Paper Abstract and Keywords
Presentation 2017-03-02 09:40
A Study of Probabilistic Position Information using Absolute and Relative Position Information
Ryoma Tabata, Arisa Hayashi, Sachio Saiki, Masahide Nakamura (Kobe Univ.) LOIS2016-64
Abstract (in Japanese) (See Japanese page) 
(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) 
(in English) Position Information / Pass-by / Absolute Position Information / Relative Position Information / Probabilistic Position Information / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 488, LOIS2016-64, pp. 13-18, March 2017.
Paper # LOIS2016-64 
Date of Issue 2017-02-23 (LOIS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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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Conference Information
Committee LOIS  
Conference Date 2017-03-02 - 2017-03-03 
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 
Paper Information
Registration To LOIS 
Conference Code 2017-03-LOIS 
Language Japanese 
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.)
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Date Time 2017-03-02 09:40:00 
Presentation Time 20 
Registration for LOIS 
Paper # IEICE-LOIS2016-64 
Volume (vol) IEICE-116 
Number (no) no.488 
Page pp.13-18 
#Pages IEICE-6 
Date of Issue IEICE-LOIS-2017-02-23 

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