Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NC, MBE (Joint) |
2023-11-27 13:50 |
Osaka |
Kindai Univ. (Primary: On-site, Secondary: Online) |
Preliminary study on fetal heart rate variability during the perinatal period Hisashi Yoshida (Kindai Univ.) MBE2023-27 |
In current perinatal medicine in Japan, medical examinations are performed once every two weeks during the mid-term peri... [more] |
MBE2023-27 p.6 |
MIKA (3rd) |
2023-10-10 15:35 |
Okinawa |
Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Evaluation of Interference Suppression Performance of ICA in Time-varying Channel Environment Soma Sumita, Haruya Ikeda (Tokyo Univ. of Science), Daisuke Hisano (Osaka Univ.), Kazuki Maruta (Tokyo Univ. of Science) |
Research on underwater acoustic communication has been attracting attention in Beyond 5G/6G.
Since the speed of sound i... [more] |
|
MW, AP (Joint) |
2023-09-28 11:10 |
Kochi |
Kochi Castle Museum of History (Primary: On-site, Secondary: Online) |
Multi-Rectenna Separate Passive Channel Estimation Based on Independent Component Analysis for Microwave Wireless Power Transfer Shunto Arai, Kentaro Murata, Naoki Honma (Iwate Univ.) AP2023-79 |
This study proposes a passive channel estimation method based on independent component analysis for maximal ratio transf... [more] |
AP2023-79 pp.4-9 |
EMM, ITE-ME, IE, LOIS, IEE-CMN, IPSJ-AVM [detail] |
2023-09-07 16:50 |
Osaka |
Osaka Metropolitan University - Nakamozu Campus- (Hybrid) (Primary: On-site, Secondary: Online) |
Blood volume pulse extraction from RGB signals based on time-frequency modeling Kosuke Kurihara, Yoshihiro Maeda (TUS), Daisuke Sugimura (Tsuda Univ.), Takayuki Hamamoto (TUS) LOIS2023-10 IE2023-20 EMM2023-57 |
We propose a method to separate blood volume pulse (BVP) signals from RGB video based on a blind signal source separatio... [more] |
LOIS2023-10 IE2023-20 EMM2023-57 pp.18-21 |
MBE, IEE-MBE |
2023-06-16 16:50 |
Hokkaido |
Hokkaido University (Primary: On-site, Secondary: Online) |
Artifact Reduction in the EEG Grasping-Type Discrimination Task using Independent Component Analysis (ICA) method Phan Hoang Huu Duc, Masayuki Fujiwara, Kosei Shibata, Hiroaki Wagatsuma (LSSE, Kyushu Institute of Technology) MBE2023-15 |
This study examined the artifactual components rejection of Independent Component Analysis (ICA) in Electroencephalogram... [more] |
MBE2023-15 pp.28-33 |
RCS |
2023-06-16 10:00 |
Hokkaido |
Hokkaido University, and online (Primary: On-site, Secondary: Online) |
A Study on Autoencoder for ICA-Aided MIMO Blind Signal Separation Arata Kameda, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) RCS2023-68 |
[more] |
RCS2023-68 pp.235-240 |
EMCJ, IEE-EMC, IEE-SPC |
2023-05-12 13:15 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Evaluating Transmission Efficiency Impact on Screen Reconstruction Accuracy for High-Resolution Displays Taiki Kitazawa, Yuichi Hayashi (NAIST) EMCJ2023-6 |
In TEMPEST attacks targeting high-resolution displays with divided screens, reconstructing screen information proves dif... [more] |
EMCJ2023-6 pp.1-6 |
EMM |
2023-03-02 14:30 |
Nagasaki |
Fukue culture hall (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Watermark Extraction Method Using BSS
-- Improving Image Quality Using Inter-frame Difference -- Nao Harada, Rinka Kawano, Masaki Kawamura (Yamaguchi Univ.) EMM2022-80 |
To improve the quality of stego-videos, we consider embedding method of watermarks in blocks where the differences betwe... [more] |
EMM2022-80 pp.66-71 |
CAS, CS |
2023-03-02 12:10 |
Fukuoka |
Kitakyushu International Conference Center (Primary: On-site, Secondary: Online) |
Proposal of CSI Sampling for Practical Environment on Device Grouping toward Put-and-Play IoT Systems Shigemi Ishida (FUN), Tomoki Murakami, Shinya Otsuki (NTT) CAS2022-117 CS2022-94 |
This paper presents a wireless LAN channel state information (CSI) sampling method to use the IoT device grouping system... [more] |
CAS2022-117 CS2022-94 pp.123-128 |
MBE, MICT, IEE-MBE [detail] |
2023-01-17 14:30 |
Saga |
|
Improving EOG components removal from EEG signals using independent component analysis, band power, and Pearson correlation coefficient Baijun Song, Aoi Takahi, Tomohiko Igasaki (Kumamoto Univ.) MICT2022-51 MBE2022-51 |
Eye movements are an important source of electroencephalogram (EEG) artifacts. Independent component analysis (ICA) is c... [more] |
MICT2022-51 MBE2022-51 pp.36-39 |
MBE, NC |
2022-12-03 10:20 |
Osaka |
Osaka Electro-Communication University |
ICA with SCAD penalty via DC algorithm Yusuke Endo, Koujin Takeda (Ibaraki Univ.) MBE2022-31 NC2022-53 |
In this work, we propose an improved method of ICA(Independent Component Analysis), which is used for identifying latent... [more] |
MBE2022-31 NC2022-53 pp.38-42 |
EA |
2022-05-13 16:50 |
Online |
Online |
Basic study for permutation solver based on deep neural networks Fumiya Hasuike, Rui Watanabe, Daichi Kitamura (NIT, Kagawa) EA2022-13 |
This paper focuses on a permutation problem associated with frequency-domain independent component analysis (FDICA) that... [more] |
EA2022-13 pp.62-67 |
EST, MW, EMCJ, IEE-EMC [detail] |
2021-10-08 09:40 |
Online |
Online |
Study on extraction of multiple electromagnetic noise waveforms using independent component analysis Nao Takahashi, Shinobu Ishigami, Ken Kawamata (TGU) EMCJ2021-42 MW2021-54 EST2021-44 |
In device such as a drone that has a build-in 5G (5th generation mobile communications) mobile terminal for controlling ... [more] |
EMCJ2021-42 MW2021-54 EST2021-44 pp.73-77 |
SIP |
2021-08-24 10:00 |
Online |
Online |
[Invited Talk]
Audio source separation based on independent low-rank matrix analysis and its extensions Daichi Kitamura (NIT Kagawa) SIP2021-32 |
Audio source separation is a technique for separating individual audio sources from an observed mixture signal. In parti... [more] |
SIP2021-32 pp.19-24 |
EST |
2021-05-20 15:45 |
Online |
Online |
Separation of signal and environmental magnetic noise using independent component analysis Kenji Yonegaki, Yanagida Tomonori, Ogata Yuji, Kakinuma Bun'ichi, Kimishima Masayuki (ATL) EST2021-7 |
In recent years, the demand for magnetic measurement has been increasing in a wide range of fields such as biomedicine, ... [more] |
EST2021-7 pp.32-35 |
NC, MBE (Joint) |
2021-03-04 09:00 |
Online |
Online |
Proposal of higher-order tensor independent component analysis for MIMO remote sensing systems Seishiro Goto, Ryo Natsuaki, Akira Hirose (The Univ. of Tokyo) NC2020-54 |
This paper proposes higher-order tensor independent component analysis (HOT-ICA). HOT-ICA is a tensor ICA that makes eff... [more] |
NC2020-54 pp.65-70 |
IBISML |
2021-03-04 14:40 |
Online |
Online |
IBISML2020-59 |
In the machine learning tasks where the training data is scarce, domain adaptation (DA) is a promising methodology that ... [more] |
IBISML2020-59 p.78 |
CPSY, RECONF, VLD, IPSJ-ARC, IPSJ-SLDM [detail] |
2021-01-25 16:45 |
Online |
Online |
Comparison of ICA Algorithms in the Compressed Sensing EEG Measurement Framework Using OD-ICA Wataru Okumura, Daisuke Kanemoto, Osamu Maida, Tetsuya Hirose (Osaka Univ) VLD2020-52 CPSY2020-35 RECONF2020-71 |
Compressed sensing gives reduction of power consumption for electroencephalogram (EEG) measurement system. However, ocul... [more] |
VLD2020-52 CPSY2020-35 RECONF2020-71 pp.75-79 |
CPSY, RECONF, VLD, IPSJ-ARC, IPSJ-SLDM [detail] |
2021-01-25 17:10 |
Online |
Online |
Low Power EEG Measurement Using Compressed Sensing Consideration of the Sampling Interval Yuki Okabe, Daisuke Kanemoto (Osaka Univ.), Tomoya Mochizuki (Yamanashi Univ.), Osamu Maida, Tetsuya Hirose (Osaka Univ.) VLD2020-53 CPSY2020-36 RECONF2020-72 |
In recent years, wireless EEG measurement devices that cause less discomfort to the subject have attracted much attentio... [more] |
VLD2020-53 CPSY2020-36 RECONF2020-72 pp.80-84 |
EA |
2020-12-14 09:40 |
Online |
Online |
Sound source separation method for use in live concerts Ryotaro Yamada, Kota Takahashi (UEC) EA2020-47 |
In live concerts, musical instrument sounds are mixed at vocal microphone, which makes it difficult to mix properly. To ... [more] |
EA2020-47 pp.7-12 |