Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MI |
2024-03-03 09:05 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Generation of Counterfactual Pathology Images of Malignant Lymphoma using Diffusion Models Ryoichi Koga, Tatsuya Yokota (NIT), Kouichi Ohshima, Hiroaki Miyoshi, Miharu Nagaishi (Kurume Univ.), Noriaki Hashimoto (RIKEN), Ichiro Takeuchi (Nagoya Univ.), Hidekata Hontani (NIT) MI2023-30 |
Malignant lymphoma has more than 70 subtypes. In the pathological diagnosis, a pathological image is observed to identif... [more] |
MI2023-30 pp.1-2 |
MI |
2024-03-04 12:40 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Teeth Segmentation from 3D Dental Model using Deep Learning and Statistical Shape Models Hazuki Yamada, Kana Kono (Okayama Univ.), Shoko Miyauchi (Kyushu Univ.), Hiroshi Kamioka (Okayama Univ.), Ken'ichi Morooka (Kumamoto Univ.) MI2023-73 |
3D dental model generated by using an intraoral scanner is a useful tool for knowing the shape of teeth. The application... [more] |
MI2023-73 pp.133-136 |
SIP, SP, EA, IPSJ-SLP [detail] |
2024-02-29 15:45 |
Okinawa |
(Primary: On-site, Secondary: Online) |
|
We have developed automatic speech recognition and dialect identification techniques by using COJADS, a corpus of Japane... [more] |
|
IA, SITE, IPSJ-IOT [detail] |
2023-03-16 15:35 |
Gunma |
Maebashi Institute of Technology (Primary: On-site, Secondary: Online) |
Model compression by pruning of CNN based on perceptual hashes Shota Mishina, Tetsuya Morizumi, Hirotsugu Kinoshita (Kanagawa Univ.) SITE2022-59 IA2022-82 |
Message digests that identify images are indispensable for secure and convenient copyright management of digital content... [more] |
SITE2022-59 IA2022-82 pp.28-34 |
CAS, CS |
2023-03-01 16:40 |
Fukuoka |
Kitakyushu International Conference Center (Primary: On-site, Secondary: Online) |
Evaluation on TFI Pilot Signal and CNN Image Identification Based on Channel Model Tomoaki Shibata, Syuji Takahashi, Yuta Ida (Yamaguchi Univ.), Sho Kuroda (FX Systems), Takahiro Matsumoto (Kagoshima Univ.) CAS2022-109 CS2022-86 |
In International Telecommunication Union (ITU), the wireless channel models are standardized. The channel models are con... [more] |
CAS2022-109 CS2022-86 pp.77-82 |
NC, NLP |
2023-01-29 15:30 |
Hokkaido |
Future University Hakodate (Primary: On-site, Secondary: Online) |
Parametrization of balancing tasks based on state feedback control model
-- Proposition of nonlinear single-degree-of-freedom model -- Hibiki Nakayama, Yuya Nakamura, Yoshikazu Yamanaka, Katsutoshi Yoshida (Utsunomiya Univ.) NLP2022-105 NC2022-89 |
We have been researching dynamic characteristics of human behavior in balancing tasks.
In our previous study, we propos... [more] |
NLP2022-105 NC2022-89 pp.129-134 |
HCGSYMPO (2nd) |
2022-12-14 - 2022-12-16 |
Kagawa |
Onsite (Sunport Takamatsu) and Online (Primary: On-site, Secondary: Online) |
Pattern Estimation of Eye Movement during Facial Attractiveness Evaluation Kazuyuki Asai, Shigeru Akamatsu (Hosei Univ.) |
In this study, we analyzed whether there is a relationship between attractiveness evaluation for face images and eye mov... [more] |
|
SIP |
2022-08-26 10:30 |
Okinawa |
Nobumoto Ohama Memorial Hall (Ishigaki Island) (Primary: On-site, Secondary: Online) |
A Study on Auxiliary Filter based Virtual Sensing in ANC Systems with online modeling Shota Toyooka, Yoshinobu Kajikawa (Kansai Univ.) SIP2022-64 |
In this paper, we propose an online identification method for auxiliary filter-based virtual sensing. The proposed onlin... [more] |
SIP2022-64 pp.75-80 |
NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-22 15:10 |
Online |
Online |
Parametrization of balancing tasks based on state feedback control model
-- Proposition of single-degree-of-freedom model -- Yuya Nakamura, Yoshikazu Yamanaka, Katsutoshi Yoshida (Utsunomiya Univ) NLP2021-113 MICT2021-88 MBE2021-74 |
Our previous study performed cooperative balancing experiments between
two human subjects and discussed their statistic... [more] |
NLP2021-113 MICT2021-88 MBE2021-74 pp.193-198 |
NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-22 15:35 |
Online |
Online |
Toward developing bouncing-type model for simulating human running behavior
-- Proposal of parameter identification method -- Takuto Otsubo, Yoshikazu Yamanaka, Katsutoshi Yoshida (Utsunomiya Univ.) NLP2021-114 MICT2021-89 MBE2021-75 |
The passive running is a method to descend a slope by a running gait only using potential energy. As one of the specific... [more] |
NLP2021-114 MICT2021-89 MBE2021-75 pp.199-204 |
SS, MSS |
2022-01-12 11:35 |
Nagasaki |
Nagasakiken-Kensetsu-Sogo-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
A Method for Mesoscopic Modeling Method of Large Volume Traffic Flow Applying Process Mining Techniques Kenji Uehara, Kunihiko Hiraishi (JAIST) MSS2021-51 SS2021-38 |
With the improvement of computing power and the widespread use of sensor technologies such as cameras and GNSS, highly a... [more] |
MSS2021-51 SS2021-38 pp.112-117 |
HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online |
Online |
Motion Identification of Physical Exertion using Hidden Markov Model with Combined Information of Skeletal Structure and Range Data Ryohei Yamazaki, Shigeru Akamatsu (Hosei Univ.) |
The purpose of this study is to verify the usefulness of using features that combine skeletal information and distance i... [more] |
|
HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online |
Online |
Analysis of Eye Movements during Facial Attractiveness Evaluation based on Hidden Markov Model Kazuyuki Asai, Shigeru Akamatsu (Hosei Univ.) |
In this study, we analyzed whether there is a relationship between attractiveness evaluation for face images and eye mov... [more] |
|
WBS, IT, ISEC |
2021-03-05 10:15 |
Online |
Online |
A Proposal for Causal Inference with Subjective Evaluation Daichi Ikeda, Hikaru Morita (Graduate School of Kanagawa Univ.) IT2020-146 ISEC2020-76 WBS2020-65 |
Machine learning techniques such as deep learning are often used for identification and personal matching in information... [more] |
IT2020-146 ISEC2020-76 WBS2020-65 pp.208-212 |
NC, MBE (Joint) |
2021-03-04 09:50 |
Online |
Online |
Evaluation of effect of source noise on magnetoencephalography source estimation using a structured sparse model Kai Miyazaki, Shun Nirasawa, Kazuaki Akamatsu, Yoichi Miyawaki (UEC) NC2020-56 |
Magnetoencephalography (MEG) is a method to acquire human brain activity at a high temporal resolution, but its spatial ... [more] |
NC2020-56 pp.77-82 |
EMD, R |
2021-02-12 15:00 |
Online |
Online |
[Invited Talk]
Reliability physics issues for electronic devices
-- Failure mechanisms that still need to be physically clarified -- Yasushi Kadota (RICOH Co.,Ltd.) R2020-37 EMD2020-28 |
Many kind of electronic devices, including semiconductor devices, have been using in various fields and applications in ... [more] |
R2020-37 EMD2020-28 pp.19-24 |
NC, MBE (Joint) |
2019-03-04 14:40 |
Tokyo |
University of Electro Communications |
A study of the Multi Resolution CONP using variable time constants for time series signals Haruka Kato, Susumu Kuroyanagi (NIT) NC2018-57 |
Hearing is an important sense for understanding the surrounding environment because it can obtain information from the b... [more] |
NC2018-57 pp.79-84 |
EA, US (Joint) |
2019-01-22 14:00 |
Kyoto |
Doshisha Univ. |
[Poster Presentation]
On speaker identification under multiple-talker condition using frequency domain binaural model Kai Kiyota, Irwansyah, Kousuke Matsuoka, Tsuyoshi Usagawa (Kumamoto Univ.) EA2018-94 |
In order to realize the speech recognition system suitable for a small meeting logging with speaker identification, it i... [more] |
EA2018-94 pp.7-12 |
MoNA |
2018-12-25 15:00 |
Tokyo |
|
Human Gait Recognition Method for Long and Baggy Clothes Using Machine Learning Abrar Alharbi, Eiji Kamioka (SIT) MoNA2018-50 |
Human gait is a significant biometric feature used for the identification of people by their style of walking. In compar... [more] |
MoNA2018-50 pp.67-72 |
SSS |
2018-12-18 16:25 |
Tokyo |
|
Schematized Hazard Expressions Focusing on State Changes and Actions
-- Comparison between S-A process chart and A-C model -- Mitsuo Shibagaki (ETAC), Fukuda Takabumi (Nagaoka Univ. of Techno.), Yoshinobu Sato (Nerima Hosp.) SSS2018-30 |
The State-Action process chart (S-A process chart) and the Action Changes and the action-chains model (A-C model) are te... [more] |
SSS2018-30 pp.21-24 |