| Paper Abstract and Keywords |
| Presentation |
2017-07-20 11:05
[Poster Presentation]
A Study of Monitoring System for Radio Leak with Massive Radio Sensors Shunsuke Imai, Osamu Takyu (Shinshu Univ.) RCC2017-30 NS2017-51 RCS2017-122 SR2017-45 ASN2017-39 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
This paper shows the monitoring system for estimating the power of leaked signal with using massive wave sensors in indoor wireless communication. The proposed method constructs the reference data obtained by the temporal sensor in the eavesdrop-able area. It is the supervised learning. After this, the clustering of detected power of leaked signal by the temporal sensor is performed for specifying the category of signal leaked from the uncertain position within the communication area. In the estimation phase, each sensor selects the suitable categories in terms of the similarity of leaked signal to the pre-evaluated one. As a result, the estimated power of leaked signal is considered as the maximal selected category. From the ray-tracing simulator, we clarify the accuracy of estimating the leaked signal power. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Monitoring system / Supervised learning / Clustering / Ray-tracing / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 117, no. 133, SR2017-45, pp. 115-116, July 2017. |
| Paper # |
SR2017-45 |
| Date of Issue |
2017-07-12 (RCC, NS, RCS, SR, ASN) |
| 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 |
RCC2017-30 NS2017-51 RCS2017-122 SR2017-45 ASN2017-39 |
| Conference Information |
| Committee |
NS ASN RCC RCS SR |
| Conference Date |
2017-07-19 - 2017-07-21 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Hokkaido Univ. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Wireless Distributed Network, M2M (Machine-to-Machine), D2D (Device-to-Device),etc. |
| Paper Information |
| Registration To |
SR |
| Conference Code |
2017-07-NS-ASN-RCC-RCS-SR |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A Study of Monitoring System for Radio Leak with Massive Radio Sensors |
| Sub Title (in English) |
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| Keyword(1) |
Monitoring system |
| Keyword(2) |
Supervised learning |
| Keyword(3) |
Clustering |
| Keyword(4) |
Ray-tracing |
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| 1st Author's Name |
Shunsuke Imai |
| 1st Author's Affiliation |
Shinshu University (Shinshu Univ.) |
| 2nd Author's Name |
Osamu Takyu |
| 2nd Author's Affiliation |
Shinshu University (Shinshu Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2017-07-20 11:05:00 |
| Presentation Time |
90 minutes |
| Registration for |
SR |
| Paper # |
RCC2017-30, NS2017-51, RCS2017-122, SR2017-45, ASN2017-39 |
| Volume (vol) |
vol.117 |
| Number (no) |
no.130(RCC), no.131(NS), no.132(RCS), no.133(SR), no.134(ASN) |
| Page |
pp.103-104(RCC), pp.117-118(NS), pp.157-158(RCS), pp.115-116(SR), pp.135-136(ASN) |
| #Pages |
2 |
| Date of Issue |
2017-07-12 (RCC, NS, RCS, SR, ASN) |