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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 17 of 17  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
RISING
(3rd)
2021-11-17
09:00
Tokyo
(Primary: On-site, Secondary: Online)
A Study on Fuzzy-Based Packet Scheduling Scheme for Streaming over ICN
Fumiya Ohtsuki (Tokyo Univ of Science), Ito Yusuke (Tokyo Univ. of Science), Koga Hiroyuki (The Univ. of Kitakyushu), Hasegawa Mikio (Tokyo Univ. of Science)
ICN (Information Centric Network) has been attracting attention as a promising architecture for efficient content delive... [more]
EA 2018-12-14
10:30
Fukuoka kyushu Univ. Bayesian Filter for Sound Environment by Considering Additive Property of Energy Variable and Fuzzy Observation in Decibel Scale -- Introduction of Fuzzy Moments --
Akira Ikuta, Hisako Orimoto (Prefectural Univ. Hiroshima) EA2018-89
In the measurement and evaluation of actual random signal in a sound environment, the observed data often contain the fu... [more] EA2018-89
pp.51-58
SR 2018-05-24
16:40
Tokyo Tokyo big sight [Invited Talk] Computational Intelligence for Vehicular Internet of Things
Celimuge Wu, Tsutomu Yoshinaga (UEC), Yusheng Ji (NII) SR2018-10
With the emergence of various vehicular Internet of Things (IoT) applications, such as camera sensor data exchange, driv... [more] SR2018-10
pp.57-62
DE, IPSJ-DBS, IPSJ-IFAT 2015-08-05
13:00
Nara Todaiji Culture Center Empirical Study on Instance Selection from Healthcare Data Using Fuzzy Rough Sets
Do Van Nguyen (KDDI R&D Labs), Keisuke Ogawa (KDDI), Kazunori Matsumoto, Masayuki Hashimoto (KDDI R&D Labs) DE2015-14
This research shows a study on issues that cause low performance in disease prediction such as overlap and imbalance and... [more] DE2015-14
pp.19-24
KBSE 2011-03-10
17:15
Oita Beppu International Convention Center Comprehension of Works on Kafka on the Shore by Fuzzy Cluster Analysis
Chieko Kato, Yuki Maeshiro (Toyo Univ.), Matthew C. Strecher (Winona St. Univ.), Kensei Tsuchida (Toyo Univ.) KBSE2010-52
In recent years, the technology needed to process languages on computers has become available as open-source software. ... [more] KBSE2010-52
pp.31-36
HCGSYMPO
(2nd)
2010-12-15
- 2010-12-17
Miyazaki Miyazaki Seagai resort Extraction of Expressive Tempos and Rhythms with Spontaneous Facial Expressions
Takashi Suto, Kazuhito Sato, Hirokazu Madokoro (Akita Prefectural Univ.), Sakura Kadowaki (SmartDesign)
This paper presents a new framework to extract tempos and rhythms from facial expressions. We specifically examine time-... [more]
PRMU, HIP 2010-03-15
09:25
Kagoshima Kagoshima Univ. Estimation of Psychological Stress Levels Using Facial Expression Spatial Charts
Hirokazu Madokoro, Kazuhito Sato (Akita Prefectural Univ.) PRMU2009-234 HIP2009-119
This paper presents a new framework to describe individual facial expression spaces focusing on dynamic diversity of fac... [more] PRMU2009-234 HIP2009-119
pp.7-12
PRMU 2009-11-27
14:40
Ishikawa Ishikawa Industrial Promotion Center Estimation of Psychological Stress Levels Based on Dynamic Diversity of Facial Expressions
Hirokazu Madokoro, Kazuhito Sato (Akita Pref Univ.) PRMU2009-132
This paper presents a method to generate individual Facial Expression Spatial Charts (FESC) using Self-Organizing Maps (... [more] PRMU2009-132
pp.285-290
NLP 2008-03-28
11:40
Hyogo   A Note on Expansion and Contraction of Categories in Fuzzy ARTMAP
Takeshi Kamio (Hiroshima City Univ.), Kunihiko Mitsubori (Takushoku Univ.), Chang-Jun Ahn, Hisato Fujisaka, Kazuhisa Haeiwa (Hiroshima City Univ.) NLP2007-171
Fuzzy ARTMAP (FAM) is a supervised learning system. FAM segments the input space with categories which are defined by hy... [more] NLP2007-171
pp.25-30
NC, MBE
(Joint)
2008-03-14
15:50
Tokyo Tamagawa Univ A Supervised Learning Method Based on Adaptive Resonance Theory Considering Task Complexity
Yusuke Takenaka, Takeshi Kamio, Hisato Fujisaka, Kazuhisa Haeiwa (Hiroshima City Univ.) NC2007-199
Fuzzy ARTMAP (FAM) is a supervised learning system based on the adaptive resonance theory (ART). If FAM learns samples w... [more] NC2007-199
pp.513-518
EA 2007-11-15
14:00
Kumamoto Kumamoto University State Estimation for Sound Environment Systems with Unknown Structure by Introducing Fuzzy Theory
Akira Ikuta, Hisako Masuike (Prefectural Univ. of Hiroshima), Mitsuo Ohta (Hiroshima Univ.) EA2007-75
The actual sound environment system exhibits various types of linear and non-linear characteristics, and it often contai... [more] EA2007-75
pp.13-18
ET 2007-07-21
13:00
Iwate Iwate-Prefectural Univ. A fuzzy estimation method of individual learners' strategies based on their learning sequence records(II) -- An estimation algorithm of change process of their strategies --
Tatsuya Nakauchi, Hidefumi Kondo, Makoto Takeya (Takushoku Univ.) ET2007-18
One of the authors, previously, presented the Strategic Task Sequencing method, shortened to the STS method, based on an... [more] ET2007-18
pp.13-18
IPSJ-AVM, MoNA 2007-07-19
16:40
Niigata Niigata Univ. An Application of Fuzzy Reasoning to Image Object Extraction and Recognition
Tatsuya Miyaguchi, Yoshihisa Takahashi, Hisakazu Kikuchi, Shogo Muramatsu (Niigata Univ.), Junichi Kobayashi (Power Assist)
Fuzzy reasoning is a method to make machines reason by themselves. Fuzzy reasoning gives the degree of likelihood for wh... [more] MoMuC2007-31
pp.37-42
ET 2007-03-09
14:35
Kochi   A fuzzy estimation method of individual learner's strategies based on their learning sequence records
Tatsuya Nakauchi, Makoto Takeya (Takushoku Univ.)
One of the authors, previously, presented the Strategic Task Sequencing method, shortened to the STS method, based on an... [more] ET2006-138
pp.185-190
RCS, NS
(Joint)
2006-07-20
09:15
Hokkaido Hokkaido Univ. Low Complexity Resource Allocation Algorithm by Using a User Ranking and Convergence without Iterations for OFDMA Systems
Maduranga Liyanage, Iwao Sasase (Keio Univ.) RCS2006-78
This paper proposes an effective subcarrier allocation scheme for orthogonal frequency division multiple access (OFDMA) ... [more] RCS2006-78
pp.115-119
NLP 2006-03-21
11:15
Tokyo Hosei Univ.(Ichigaya Campus) Improvement of Fuzzy ARTMAP by Controlling Match Tracking
Kentaro Nomura, Takeshi Kamio, Hisato Fujisaka, Kazuhisa Haeiwa (Hiroshima City Univ.)
Adaptive resonance theory neural network (ART) is an unsupervised learning system that can generate and grow the recogni... [more] NLP2005-154
pp.19-24
EA 2004-11-26
10:00
Oita Ohita Univ. Prediction of Probability Distribution for Psychological Evaluation in Sound Environment Based on Fuzzy Theory
Akira Ikuta, Natsuko Hayakawa (Hiroshima Pref. Women's Univ.), Mitsuo Ohta (Hiroshima Univ.)
It is necessary for the statistical evaluation of sound environment to find the mutual relationship between the sound le... [more] EA2004-96
pp.1-6
 Results 1 - 17 of 17  /   
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