Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
HCS |
2024-03-03 09:20 |
Shizuoka |
Tokoha University(Shizuoka-Kusanagi Campus) |
Environment Recognition System for Visually Impaired People Using LIDAR Mounted on User's Head
-- Improvements of Distance Measurement/Acoustic Signal Conversion and Experimental Evaluation -- Liqi Zhu, Tetsuo Tsujioka, Shigeyoshi Nakajima, Hitoshi Watanabe, Ikuo Oka (Osaka Metropolitan Univ.) HCS2023-103 |
LIDAR technology is often used to detect surrounding environment around users. For visually impaired people, a system th... [more] |
HCS2023-103 pp.86-91 |
SIS |
2021-03-05 10:20 |
Online |
Online |
Deep Learning-based OBSS Packet Recognition in the presence of OFDM Symbol Timing Offset Muhammad Harry Bintang Pratama, Leonardo Lanante Jr., Hiroshi Ochi (Kyushu Inst. of Tech) SIS2020-55 |
Overlapping Basic Service Set can result in packet collision and decrease network efficiency. To overcome this problem, ... [more] |
SIS2020-55 pp.109-113 |
SR |
2020-11-18 10:50 |
Online |
Online |
Automatic Modulation Recognition Method Using Two-Stage Deep Learning Kaoru Kishimoto, Kiyohiko Takahashi, Taichi Ohtsuji, Toshiki Takeuchi, Shigeyuki Kurahashi (NEC) SR2020-24 |
Automatic modulation recognition method could be applied to dynamic spectrum sharing, estimating communication method of... [more] |
SR2020-24 pp.10-16 |
RISING (2nd) |
2019-11-26 10:30 |
Tokyo |
Fukutake Learning Theater, Hongo Campus, Univ. Tokyo |
[Poster Presentation]
Initial Evaluation of Modulation Recognition Based on Deep Learning using Estimated SNR as Side Information Yasutaka Yamashita, Shigeru Uchida, Hiroshi Aruga (Mitsubishi Electric Corp.) |
Modulation classification is an important research subject in cognitive radios and radio monitoring systems to recognize... [more] |
|
AP |
2019-10-17 12:30 |
Osaka |
Osaka Univ. |
[Poster Presentation]
Modulation estimation using deep learning in multi-beam massive MIMO Ryotaro Taniguchi, Kenatro Nishimori, Tsuyoshi Ohta (Niigata Univ.) AP2019-83 |
machine learning has attracted attention in various research fields. Machine learning is an algorithm and statistical mo... [more] |
AP2019-83 pp.19-24 |
AP |
2015-06-11 13:25 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Accuracy Evaluation of Gesture Recognition Using RFID with Load Modulation Technique Shun Sasaki, Takuma Ito, Naoki Honma, Yoshitaka Tsunekawa (Iwate Univ.) AP2015-33 |
The authors have proposed a direction estimation method of passive RFID(Radio Frequency IDentification), where a load mo... [more] |
AP2015-33 pp.7-12 |
EA, EMM |
2012-11-16 11:45 |
Oita |
OITA Univ. |
Unified denoising and dereverberation method used in restoration of MTF-based power envelope Masashi Unoki, Shota Morita (JAIST), Xugang Lu (NICT) EA2012-86 EMM2012-68 |
Recent methods of speech enhancement have been proposed to suppress the effects of background noise and reverberation. T... [more] |
EA2012-86 EMM2012-68 pp.29-34 |
PRMU, MVE, CQ, IPSJ-CVIM [detail] |
2012-01-20 16:00 |
Osaka |
|
Licence Plate Recognition system with Robustness against illumination change Chikara Isozumi, Masahiro Iwahashi (Nagaoka Univ.of Tec.) PRMU2011-178 MVE2011-87 |
Licence plate recognition technique is applied in various scenes, such as management of parking lots, toll collection of... [more] |
PRMU2011-178 MVE2011-87 pp.335-340 |
EA, SIP, SP |
2011-05-12 13:00 |
Osaka |
Ritsumeikan Univ. |
Study on the power envelope restoration based on the MTF concept and its application to ASR systems in noisy reverberant environments Shota Morita (JAIST), Xugang Lu (NICT), Masashi Unoki, Masato Akagi (JAIST), Ruediger Hoffmann (TUD) EA2011-7 SIP2011-7 SP2011-7 |
We previously proposed a method for restoring the speech power envelope from noisy reverberant speech based on a simple ... [more] |
EA2011-7 SIP2011-7 SP2011-7 pp.37-42 |
SR |
2010-07-30 13:20 |
Kyoto |
ATR (Kyoto) |
[Technology Exhibit]
Design and Implementation of Emergency Radio Information System Md. Abdur Rahman, Azril Haniz, Santosh Khadka, Iswandi, Mutsawashe Gahadza, Minseok Kim, Jun-ichi Takada (Tokyo Inst. of Tech.) SR2010-34 |
Emergency rescue operations require quick and efficient setup of collapsed telecommunication infrastructure in the disas... [more] |
SR2010-34 pp.103-108 |
SIP, CAS, VLD |
2009-07-01 16:00 |
Hokkaido |
Kushiko-shi Shogai Gakushu Center |
Analysis for robustness of RSA acoustic model by distance between phonmes Kazunaga Ohnuki (Kushiro National College of Tech.), Wataru Takahashi, Shingo Yoshizawa, Yoshikazu Miyanaga (Hokkaido Univ.) CAS2009-8 VLD2009-13 SIP2009-25 |
In this report, the design of noise robust acoustic models is explained
and its noise robustness based on these models... [more] |
CAS2009-8 VLD2009-13 SIP2009-25 pp.37-42 |
PN, OPE, EMT, LQE |
2009-01-30 11:05 |
Kyoto |
Kyoto Institute Technology (Matsugasaki Campus) |
Experimental Demonstration of Generating Packet Switch Control Signal by Optical Label Recognition and Improving Error Rate Performance Hideki Bessho, Ryouta Takayama, Saeko Oshiba, Masahiro Akiyama (Kyoto Institute of Technology) PN2008-64 OPE2008-167 LQE2008-164 |
We suggested optical label generation by ”Spectrum-Time Modulation Method” which we used a FBG(Fiber Bragg Grating) and ... [more] |
PN2008-64 OPE2008-167 LQE2008-164 pp.125-130 |
SIS |
2008-06-13 10:10 |
Hokkaido |
|
Acoustic Modeling for Robust Recognition using Running Spectrum Analysis Kazunaga Ohnuki (Kushiro National College of Tech.), Wataru Takahashi, Yoshikazu Miyanaga (Hokkaido Univ.) SIS2008-16 |
In this paper, new robust speech feature model is designed and applied for the continuous speech recognition system. Us... [more] |
SIS2008-16 pp.11-16 |
PN |
2008-03-14 10:20 |
Okinawa |
Ohama-Nobumoto-Kinenkan (Ishigakijima) |
Study on Effect of Signal Distortion for Extension of Dynamic Range of Optical Intensity Equalizer Hiroomi Goto, Tsuyoshi Konishi, Takashi Nishitani, Tetsuya Enoki, Kazuyoshi Itoh (Osaka Univ.) PN2007-85 |
It is necessary to compensate an optical signal intensity fluctuation in optical networks for accurate data reception an... [more] |
PN2007-85 pp.65-68 |