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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
SANE 2023-12-08
08:50
Overseas Surakarta, Indonesia
(Primary: On-site, Secondary: Online)
Towards Satellite Data Fusion For Active Fire Detection
Nur Fajar Trihantoro, Simon Jones, Karin Reinke (RMIT Univ.) SANE2023-65
Numerous Earth observation satellite instruments show potential for monitoring wildfire, yet current fire detection algo... [more] SANE2023-65
p.35
CAS, SIP, MSS, VLD 2018-06-15
14:00
Hokkaido Hokkaido Univ. (Frontier Research in Applied Sciences Build.) Evaluation of the influence of the observation noise of the electric current to an accurate SOC estimation system
Lei Lin, Masahiro Fukui, Kiyotsugu Takaba (Ritsumeikan Univ.) CAS2018-26 VLD2018-29 SIP2018-46 MSS2018-26
With the advent of the large-scale popularization of Lithium-ion secondary batteries, the accuracy as well as low cost s... [more] CAS2018-26 VLD2018-29 SIP2018-46 MSS2018-26
pp.131-136
NLP 2017-03-14
16:00
Aomori Nebuta Museum Warasse Physical random number generation under noisy observation of entropy source
Kenichi Arai, Jun Muramatsu (NTT) NLP2016-116
We theoretically show that undesired noise can be eliminated in generating Physical Random Numbers (PRNs). PRNs can be u... [more] NLP2016-116
pp.57-61
EA, EMM 2016-11-18
15:10
Oita Compal Hall (Oita) State Estimation Based on Bayes' Theorem for Sound Environment System with Quantized Observation -- Introduction of Particle Filter --
Akira Ikuta, Hisako Orimoto, Gerard Gallagher (Prefectural Univ. Hiroshima) EA2016-66 EMM2016-72
In this study, a modified particle filter considering non-Gaussian properties of noises is proposed in a form applicable... [more] EA2016-66 EMM2016-72
pp.107-112
EA 2009-03-27
10:30
Tokyo   Kalman Filter Based Robust Restoration Method with Colored Driving Source
Shunichi Kitahara, Nari Tanabe (Tokyo Univ. of Sci, Suwa.), Toshihiro Furukawa (Tokyo Univ. of Sci), Hideaki Matsue (Tokyo Univ. of Sci, Suwa.), Shigeo Tsujii (Inst. of Info Security) EA2008-136
This paper proposes a Kalman filter based robust restoration method with colored driving source for degraded images. The... [more] EA2008-136
pp.1-5
ITE-BCT, IE, CS, IPSJ-AVM 2008-12-11
15:15
Aichi Nagoya University Kalman Filter Based Restoration Algorithm for Degraded Image
Shunichi Kitahara, Nari Tanabe (Tokyo Univ. of Science, Suwa), Toshihiro Furukawa (Tokyo Univ. of Science), Hideaki Matsue (Tokyo Univ. of Science, Suwa), Shigeo Tsujii (nstitute of Information Security) CS2008-44 IE2008-108
We propose a Kalman filter based restoration algorithm for degraded images.The algorithm aims to achieve high quality im... [more] CS2008-44 IE2008-108
pp.29-34
SP 2008-03-20
15:15
Tokyo Univ. Tokyo [Poster Presentation] Robust noise suppression algorithm using the only Kalman filter theory for white and colored noises
Nari Tanabe (Tokyo Univ. of Science, Suwa), Toshihiro Furukawa (Tokyo Univ. of Science), Shigeo Tsujii (Inst. of Information Security) SP2007-195
This paper presents a noise suppression algorithm using only the Kalman filter theory with canonical state space models:... [more] SP2007-195
pp.51-56
SN
(2nd)
2006-01-20
10:00
Tokyo Tokyo Denki University Kanda Campus Best Linear Unbiased Estimator (BLUE) Using Estimate of Observation Noise Variance in Wireless Sensor Networks
Takahiro Fujita (Tokyo University of Science), Tomoaki Ohtsuki (Keio Univ.), Toshinobu Kaneko (Tokyo University of Science)
Best Linear Unbiased Estimator (BLUE) is one of the decentralized estimation method in sensor networks. When fusion cent... [more]
SN
(2nd)
2005-06-17
10:00
Tokyo Tokyo Denki Univeristy Kanda Campus A Consideration on STBC Cooperative Diversity
Tomoaki Ohtsuki (Keio Univ.)
We analyze the performance of statistical cooperative diversity based on space-time block codes (STBC) (Statistical STBC... [more]
RCS, CS 2005-01-28
09:00
Okinawa University of the Ryukyus Wireless Sensor Networks with Local Fusion
Hiroshi Yamamoto, Tomoaki Ohtsuki (TUS)
Wireless sensor networks consisting of small sensors, data processing,and
communication ability have attracted much at... [more]
CS2004-200 RCS2004-307
pp.101-106
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