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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 14 of 14  /   
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
 Results 1 - 14 of 14  /   
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