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Paper Abstract and Keywords
Presentation 2018-01-19 13:30
Priority Control in Communication Networks for Predictive Information Delivery by Using Machine Learning
Shingo Kato, Ryoichi Shinkuma (Kyoto Univ.) MoNA2017-54
Abstract (in Japanese) (See Japanese page) 
(in English) Delivering real-time road-traffic information to the driver is a straightforward solution to the problem of road traffic congestion.
The information is more effective as it is fresh and more accurate.
However, real-time road-traffic information delivery a fundamental problem: an accuracy-freshness tradeoff.
The proposed system solves this trade-off.
The key idea is that data more ‘important’ for the accuracy of information is prioritized when the data is transferred in communication networks.
In the proposed system, `Importance' is determined by how helpful the data is when the system needs to estimate missing spatial information from a limited amount of received data by using the machine learning technique.
In the paper, simulation results verify the proposed system ensures the accuracy of road-traffic information while satisfying the freshness requirement.
{it Note: the content of this report is contained in the paper which the authors published in IEEE Access in Oct 2017. This report has been published without any reviewing process.}
Keyword (in Japanese) (See Japanese page) 
(in English) Internet of Things / road-traffic information / priority control / active learning / edge computing / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 390, MoNA2017-54, pp. 73-78, Jan. 2018.
Paper # MoNA2017-54 
Date of Issue 2018-01-11 (MoNA) 
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 MoNA2017-54

Conference Information
Committee MoNA  
Conference Date 2018-01-18 - 2018-01-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Campus Plaza Kyoto 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Mobile Network, Application of Machine Learning, Mobile Data, etc. 
Paper Information
Registration To MoNA 
Conference Code 2018-01-MoNA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Priority Control in Communication Networks for Predictive Information Delivery by Using Machine Learning 
Sub Title (in English)  
Keyword(1) Internet of Things  
Keyword(2) road-traffic information  
Keyword(3) priority control  
Keyword(4) active learning  
Keyword(5) edge computing  
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Keyword(7)  
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1st Author's Name Shingo Kato  
1st Author's Affiliation Kyoto University (Kyoto Univ.)
2nd Author's Name Ryoichi Shinkuma  
2nd Author's Affiliation Kyoto University (Kyoto Univ.)
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Speaker Author-1 
Date Time 2018-01-19 13:30:00 
Presentation Time 25 minutes 
Registration for MoNA 
Paper # MoNA2017-54 
Volume (vol) vol.117 
Number (no) no.390 
Page pp.73-78 
#Pages 6 
Date of Issue 2018-01-11 (MoNA) 

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