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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
AP, RCS (Joint) |
2019-11-21 14:50 |
Saga |
Saga Univ. |
[Invited Lecture]
Indoor Localization Improvement by Combining Wireless Beacon and Handset Sensor Information Kazushi Naruke, Naoki Honma, Daichi Kitamura (Iwate Univ.), Yusuke Sugawara, Atsushi Miura (ERi) AP2019-125 RCS2019-222 |
This paper proposes two methods for improving the accuracy of indoor localization, which combines RSSI (Received Signal ... [more] |
AP2019-125 RCS2019-222 pp.101-106(AP), pp.109-114(RCS) |
AP, SANE, SAT (Joint) |
2019-07-19 10:15 |
Miyagi |
Tohoku Univ. |
Experimental Evaluation of Indoor Localization Using RSSI-Based DOD and RSSI Ranging Daichi Kitamura, Naoki Honma, Kazushi Naruke, Kentaro Murata (Iwate Univ.), Yusuke Sugawara, Atsushi Miura (ERi) AP2019-41 |
In this report, we investigate the improvement of indoor localization accuracy using only Received Signal Strength Indic... [more] |
AP2019-41 pp.107-112 |
AP |
2018-10-19 13:25 |
Okayama |
Okayama Univ. |
Handset localization method using RSSI-based DOD history and PDR Kota Kikuchi, Naoki Honma, Kazushi Naruke (Iwate Univ.), Yusuke Sugawara, Hiroto Minamizawa, Atsushi Miura (ERi inc.) AP2018-97 |
In this paper, we propose a localization method to estimate a terminal position by combining the Direction-of-Departure ... [more] |
AP2018-97 pp.47-52 |
AP |
2018-06-21 15:20 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Experimental Evaluation of Indoor Localization Method Using RSSI Ranging and Handset Sensor Information Kazushi Naruke, Kota Kikuchi, Naoki Honma, Ryota Tazawa (Iwate Univ.), Yusuke Sugawara, Hiroto Minamizawa, Atsushi Miura (ERi Inc.) AP2018-41 |
In this report, we investigate the indoor localization method using handset sensor information, i.e. the accelerometer a... [more] |
AP2018-41 pp.21-26 |
SIS, IPSJ-AVM |
2017-10-12 15:00 |
Nara |
Todaiji Culture Center |
Avoiding checkerboard artifact in convolutional neural networks including upsampling layers Yusuke Sugawara, Sayaka Shiota, Hitoshi Kiya (Tokyo Metro. Univ.) SIS2017-25 |
[more] |
SIS2017-25 pp.23-28 |
IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] |
2017-02-20 10:30 |
Hokkaido |
Hokkaido Univ. |
A parallel computation method of super resolution using convolutional neural networks Yusuke Sugawara, Sayaka Shiota, Hitoshi Kiya (Tokyo Metro. Univ.) ITS2016-44 IE2016-102 |
An acceleration method for interpolation-based super resolution
methods using convolutional neural networks, represente... [more] |
ITS2016-44 IE2016-102 pp.13-18 |
VLD, CAS, MSS, SIP |
2016-06-16 17:00 |
Aomori |
Hirosaki Shiritsu Kanko-kan |
Image retrieval in JPEG 2000 codestream domain by a deep learning approach Yusuke Sugawara (Tokyo Metropolitan Univ), Osamu Watanabe (Takushoku Univ), Sayaka Shiota, Hitoshi Kiya (Tokyo Metropolitan Univ) CAS2016-15 VLD2016-21 SIP2016-49 MSS2016-15 |
A codestream-level image retrieval scheme for JPEG 2000 images by
using a deep learning approach is proposed in this
a... [more] |
CAS2016-15 VLD2016-21 SIP2016-49 MSS2016-15 pp.79-84 |
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