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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 13 of 13  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
CPSY, DC, IPSJ-ARC [detail] 2023-08-03
14:55
Hokkaido Hakodate Arena
(Primary: On-site, Secondary: Online)
The study of GPU-based parallelization for weather forecasting simulator CReSS
Naoya Nomura, Masato Gocho, Kei Akama, Tetsutaro Yamada, Hiroshi Sakamaki (Mitsubishi Electric Corp.) CPSY2023-14 DC2023-14
Real-time and high accuracy weather prediction is essential for building a safe and secure society. For example, disaste... [more] CPSY2023-14 DC2023-14
pp.37-42
SANE 2023-05-23
09:50
Kanagawa Information Technology R & D Center, MITSUBISHI Electric Corp.
(Primary: On-site, Secondary: Online)
A parallelization of pulse train deinterleaving solver based on variational bayesian method and multiple hypothesis tracking
Masato Gocho, Tetsutaro Yamada, Yoshiki Takahashi (Mitsubishi Electric) SANE2023-2
On deinterleaving a received pulse-train of multiple source signals, a study of the parallel processing on the GPU-enabl... [more] SANE2023-2
pp.6-11
SANE 2022-11-10
09:45
Chiba Chiba Univ. (Nishi-Chiba Campus)
(Primary: On-site, Secondary: Online)
Radar Pulse Classification By Variational Bayesian Inference and Multiple Hypothesis Tracking
Tetsutaro Yamada, Masato Gocho, Ito Toshihiro, Takahashi Ryuhei (Mitsubishi Electric Corp.) SANE2022-51
 [more] SANE2022-51
pp.7-12
SANE, SAT
(Joint)
2021-02-19
13:25
Online Online Traveling Ionospheric Disturbances Detection Using Time-Space Fourier Transform
Kei Akama, Tetsutaro Yamada, Yuki Sato, Hiroshi Kameda (Mitsubishi Electric Corp.) SANE2020-68
For centimeter level satellite navigation service, it is important to estimate the amount of ionospheric delay that caus... [more] SANE2020-68
pp.57-62
MSS, CAS, IPSJ-AL [detail] 2018-11-13
11:25
Shizuoka   Water level prediction technology in urban rivers using pump operation data
Tetsutaro Yamada, Hiroshi Sasahara, Yoshifumi Iida, Takashi Kakinuma, Seiichi Nagai, Hiroshi Kameda (Mitsubishi Electric) CAS2018-70 MSS2018-46
 [more] CAS2018-70 MSS2018-46
pp.95-98
SANE 2018-05-14
13:15
Tokyo Kikai-Shinko-Kaikan Bldg. Closely Spaced Multiple Target Tracking with Super-Resolution DoA Estimation using Multiple Hypothesis
Masanari Nakamura, Tetsutaro Yamada, Yasushi Obata, Hiroshi Kameda (Mitsubishi Electric Corp.) SANE2018-6
In this paper, we propose multiple target tracking algorithm for dense targets which move toward the radar. When FBSSP-M... [more] SANE2018-6
pp.29-34
SANE 2016-11-24
13:30
Overseas National Taipei University of Technology (NTUT) Radar Beam Management Algorithm with Prior Less-Accurate Sensor Information
Tetsutaro Yamada, Yasushi Obata, Tetsuji Harada (Mitsubishi Electric) SANE2016-58
The detection of a target by a search radar using heterogeneous sensors is an important problem. However, optimal beam p... [more] SANE2016-58
pp.37-42
SANE 2015-11-24
14:10
Overseas AIT, Bangkok, Thailand Radar Data Assimilation for a Tsunami Simulation Model Using Kalman Filter
Tetsutaro Yamada, Hiroaki Ishikawa, Takafumi Nagano, Takayuki Nakanishi, Taizo Isono, Toshihiko Arioka, Yasushi Obata (Mitsubishi Electric) SANE2015-63
It is expected that wave height of a tsunami will be estimated far out at sea using a Doppler Radar as a tsunami warning... [more] SANE2015-63
pp.75-80
SANE, SAT
(Joint)
2015-02-18
09:30
Okinawa Okinawaken Shichoson Jichikaikan Radar Data Assimilation for Tsunami Simulation Model
Tetsutaro Yamada, Hiroaki Ishikawa, Takafumi Nagano, Takayuki Nakanishi, Taizo Isono (Mitsubishi Electric) SANE2014-128
It is expected that wave height value of tsunami is estimated far out at sea using a Doppler radar for a tsunami warning... [more] SANE2014-128
pp.1-6
SANE 2014-04-25
10:00
Tokyo Kikai-Shinko-Kaikan Bldg. Splitting Target Track Extraction in High False Density Environments by using MLPDA
Tetsutaro Yamada, Masanori Mori, Yuki Takabayashi, Hiroshi Kameda, Toru Umezawa (Mitsubishi Electric) SANE2014-1
Track extraction of a splitting target is one of the important problems in the field of target tracking. However, it is ... [more] SANE2014-1
pp.1-6
RCS, SIP 2014-01-23
16:30
Fukuoka Kyushu Univ. Non-Coherent Integration using Likelihood Ratio Test for an Accelerated Target
Tetsutaro Yamada, Yuki Takabayashi, Hiroshi Kameda (Mitsubishi Electric) SIP2013-108 RCS2013-278
Detection of an accelerated target by Doppler radar is one of the important problems. The signal power spectrum of the t... [more] SIP2013-108 RCS2013-278
pp.133-138
IBISML 2010-11-05
15:30
Tokyo IIS, Univ. of Tokyo [Poster Presentation] On the difference between Bayes and Variational Bayes in a normal mixture
Tetsutaro Yamada, Sumio Watanabe (Tokyo Tech.) IBISML2010-84
Variational Bayes method or mean field approximation
is widely used because it enables us to estimate the information s... [more]
IBISML2010-84
pp.181-186
NC 2010-01-18
16:05
Hokkaido Hyakunen-Kinen in Hokkaido University Rigorous Calculation Method of Bayes Marginal Likelihood in Normal Mixture
Tetsutaro Yamada, Keisuke Yamazaki, Sumio Watanabe (Tokyo Inst. of Tech.) NC2009-76
In this paper, we propose a new calculation algorithm for the rigorous Bayes marginal likelihood in normal mixture, and ... [more] NC2009-76
pp.31-36
 Results 1 - 13 of 13  /   
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