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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 22  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIS 2023-12-08
13:30
Aichi Sakurayama Campus, Nagoya City University
(Primary: On-site, Secondary: Online)
Proposal and implementation of a training data set creation support system for object detection
Keisuke Konno, Matsuoka Johei (TUT) SIS2023-41
When object recognition is used in a private space such as a home, it is necessary to have data in units of instances, n... [more] SIS2023-41
pp.95-98
MI 2023-03-06
13:15
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
[Short Paper] Improvement of Small Organ Accuracy in Multi-Organ Segmentation of Abdominal CT Images Using 2.5D Deformable Convolutional CNN
Yuya Okumura, Hiroyuki Kudo, Hotaka Takizawa (Univ of Tsukuba) MI2022-80
In multi-organ segmentation of abdominal CT images using deep learning, small organs such as the pancreas are difficult ... [more] MI2022-80
pp.38-39
MBE, NC
(Joint)
2022-03-02
09:30
Online Online A Study on Improvement of Recognition Accuracy and Speed-up of SOM-based Classification System
Shun Tasaka, Hiroomi Hikawa (Kansai Univ.) NC2021-46
This paper discusses a new type of image classifier called class-SOM, which is based on self-organizing map (SOM).
The... [more]
NC2021-46
pp.1-4
NLP, CCS 2021-06-11
15:20
Online Online Improvement of Controllability of a Nonlinear MEMS Resonator Type Reservoir based on Mutual Information Criteria
Kazuki Nakada, Shunya Suzuki, Eiji Suzuki, Yukio Terasaki, Tomoyuki Sasaki (TDK), Tetsuya Asai (Hokkaido Univ.) NLP2021-10 CCS2021-10
In this work, we propose a parameter tuning method based on mutual information criteria for MEMS (Micro Electro Mechanic... [more] NLP2021-10 CCS2021-10
pp.45-50
SeMI, IPSJ-MBL, IPSJ-DPS, IPSJ-ITS 2021-05-27
17:35
Online Online [Poster Presentation] Real-World Dynamic Recognition by Combining Machine Learning Models
Akihito Taya, Koichi Shimoda, Yoshito Tobe (Aoyama Gakuin Univ.) SeMI2021-6
Internet of things (IoT) and wearable devices make it easy to obtain physical quantities. These values are used to recog... [more] SeMI2021-6
pp.27-32
ET 2018-03-03
15:05
Kochi Kochi University of Technology (Eikokuji Campus) Investigation of selection of parts-of-speech for estimating differences in situation between example and posed problems in programming learning
Takuya Makino (Shinshu Univ.), Hisayoshi Kunimune (Chiba Inst. of Tech.), Masaaki Niimura (Shinshu Univ.) ET2017-115
Posing diverse problems in its situation or solution enhances learners' learning effect in problem-posing.
Teachers eva... [more]
ET2017-115
pp.153-158
PRMU, IE, MI, SIP 2016-05-20
09:30
Aichi   Automatic extraction of current waveforms of individual appliances from current waveforms on power distribution board
Fumihiko Ishiyama, Hiroshi Inoue, Yasunao Suzuki (NTT) SIP2016-15 IE2016-15 PRMU2016-15 MI2016-15
We are investigating a method of disaggregating current waveforms of appliances on a power distribution board to estimat... [more] SIP2016-15 IE2016-15 PRMU2016-15 MI2016-15
pp.79-84
EA 2014-08-19
13:30
Miyagi Tohoku Gakuin Univ. Towards sentence intelligibility tests under long-path echoes and its estimation method without transmission characteristics.
Yosuke Kobayashi (Miyakonojo NCT), Noritaka Takahashi, Kazuhiro Kondo (Yamagata Univ.) EA2014-13
In this paper, we propose a sentence intelligibility evaluation method for outdoors public address systems. For this, we... [more] EA2014-13
pp.7-12
CAS, SIP, MSS, VLD, SIS [detail] 2014-07-10
11:00
Hokkaido Hokkaido University Doppler-Resistant Channel Estimation Method Using RLS Algorithm for MIMO-OFDM Systems
Masahito Umehara, Hiroshi Tsutsui, Yoshikazu Miyanaga (Hokkaido Univ.) CAS2014-26 VLD2014-35 SIP2014-47 MSS2014-26 SIS2014-26
Frequency deviation by the Doppler shift in the multipath environment deteriorates the demodulation accuracy significant... [more] CAS2014-26 VLD2014-35 SIP2014-47 MSS2014-26 SIS2014-26
pp.135-140
SP, WIT, ASJ-H 2014-06-20
10:50
Ishikawa   Accurate phoneme segmentation method using combination of HMM and Fuzzy Inference system
Liang Dong, Reda Elbarougy, Masato Akagi (JAIST) SP2014-57 WIT2014-12
The aim of this study, is to improve the accuracy of automatic segmentation. In the last twenty years, manual speech seg... [more] SP2014-57 WIT2014-12
pp.63-68
NC, MBE
(Joint)
2014-03-17
16:00
Tokyo Tamagawa University Feature analysis of evoked myoelectric signals by EMS using band-type electrodes
Kenichi Kitao, Kazuaki Kondo, Yuichi Nakamura (Kyoto Univ.), Junichi Akita (Kanazawa Univ.), Masashi Toda (Kumamoto Univ.), Shigeru Sakurazawa (Future Univ. Hakodate) MBE2013-129
We measured evoked myoelectric signals during Electric Muscle Stimulation (EMS) with band-type electrodes, and investiga... [more] MBE2013-129
pp.73-78
NC, MBE
(Joint)
2013-07-19
13:25
Tokushima The University of Tokushima Measurement of evoked myoelectric signals for estimating muscle conditions during EMS training
Kenichi Kitao, Kazuaki Kondo, Yuichi Nakamura (Kyoto Univ.), Junichi Akita (Kanazawa Univ.), Masashi Toda (Kumamoto Univ.), Shigeru Sakurazawa (Future Univ. Hakodate) MBE2013-28
For muscle training with electric muscle stimulation(EMS), we need a guideline and a method for estimating and controlli... [more] MBE2013-28
pp.15-20
AI, JSAI-DOCMAS, JSAI-KBS, JSAI-SAI, IPSJ-ICS 2013-03-10
- 2013-03-13
Hokkaido   Pitching tactics estimation based on probabilistic causal structure among game components learned from the MLB detailed score data
Uehara, Syuichi Arai (Tokyo City Univ.) AI2012-48
Deterministic causal structure can not be found because of that effective tactics for baseball pitcher is a complex syst... [more] AI2012-48
pp.43-48
CS 2012-07-12
14:55
Kagoshima China-cho-Kominkan (Okinoerabu Island) [Invited Talk] Fast Polarization Tracking Methods in Polarization-Division-Multiplexed Transmission Systems with Multiple-Input Multiple-Output Processing
Koki Takeshima, Hidenori Takahashi, Takehiro Tsuritani, Itsuro Morita (KDDI Labs.), Hideaki Tanaka (Toyota ITC) CS2012-34
Polarization-division-multiplexing (PDM) is an effective way to double a spectral efficiency in optical transmission sys... [more] CS2012-34
pp.63-68
ET 2011-10-15
10:55
Ishikawa   A Study on Improvement of Learning Effect for Ikebana Simulator
Hitomi Okamoto, Nobuhiko Mukai (Tokyo City Univ.) ET2011-48
In this paper, we report a study on improvement of learning effect for an IKEBANA simulator. One of the improvements is ... [more] ET2011-48
pp.7-12
NC, MBE
(Joint)
2011-03-07
11:05
Tokyo Tamagawa University Design Method for Visual Processing Algorithm Using Multi-Neuron Activity Data
Hiroki Kurashige (RIKEN), Takashi Owaki, Hiroyuki Hoshino (Toyota Central R&D Labs, Inc.), Hideyuki Cateau (RIKEN) NC2010-129
We propose the method to develop a brain-like visual processing system using quantitative multi-neuron data and examine ... [more] NC2010-129
pp.13-18
NC 2010-01-19
13:55
Hokkaido Hyakunen-Kinen in Hokkaido University Analysis of the Difference of Food Menu Preference Between Supposed and Real Situations
Hideki Asoh, Yoichi Motomura (AIST), Chihiro Ono (KDDI Labs) NC2009-85
Modeling users' preference becomes important for providing personalized services. In order to construct context-aware st... [more] NC2009-85
pp.83-88
RCS, AN, MoNA, SR
(Joint)
2009-03-06
10:35
Kanagawa YRP The Two-Way MIMO Wire-Tap Channel
Oussama Souihli, Tomoaki Ohtsuki (Keio Univ.) RCS2008-273
We consider the popular security problem of ensuring the communication privacy of two users, Alice and Bob, in the a pri... [more] RCS2008-273
pp.361-366
NC 2009-01-20
15:30
Hokkaido Hokkaido Univ. Model Adaptation in Preference Modeling
Hideki Asoh, Yoichi Motomura (National Inst. of Adv Ind Scie and Tech.), Chihiro Ono (KDDI R&D Lab,Inc.) NC2008-100
Modeling users' preference becomes important for providing personalized services. In order to construct context-aware st... [more] NC2008-100
pp.101-106
SIP, WBS 2008-07-25
09:50
Hiroshima Hiroshima Univ. A channel estimatorfor MIMO OFDM systems based on the singular-value truncation
Shigenori Kinjo (JCGA) SIP2008-79 WBS2008-17
MIMO-OFDM receivers, which are capable of increasing the coverage and
required to attenuate the transmission power per ... [more]
SIP2008-79 WBS2008-17
pp.13-18
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