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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 29  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, MBE
(Joint)
2023-03-13
15:05
Tokyo The Univ. of Electro-Communications
(Primary: On-site, Secondary: Online)
Time-frequency analysis of neural response coupling between brain surface and deep regions in the rat auditory cortex
Ryosuke Goto, Takashi Tateno, Jun Nishikawa (Hokkaido Univ.) NC2022-95
Multi-electrode arrays (MEAs) are widely used as cellular interfaces for large-scale neuronal recording. MEAs are broadl... [more] NC2022-95
pp.25-30
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
EMT, IEE-EMT 2022-11-18
13:50
Tokyo Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
[Invited Lecture] Antenna analysis using FDTD method -- Basics and latest technique --
Takuji Arima (TUAT) EMT2022-60
Electromagnetic field analysis is used in a wide range of applications, from the optical region to the very low-frequenc... [more] EMT2022-60
pp.89-92
EA, ASJ-H 2021-07-15
14:00
Online Online [Invited Talk] *
EA2021-8
In-game Music analysis must be implemented to execute ultra-fast while maintaining high accuracy. For Beat tracker, I co... [more] EA2021-8
pp.40-45
EMM 2020-03-06
11:30
Okinawa
(Cancelled but technical report was issued)
Steganalysis of audio data hiding which results in an additive whitened spectrum
Akira Nishimura (Tokyo Univ. Info. Sci.) EMM2019-129
Steganalysis, which identifies the presence or absence of information hiding in digital contents, is important to detect... [more] EMM2019-129
pp.143-148
HWS, VLD [detail] 2020-03-05
10:30
Okinawa Okinawa Ken Seinen Kaikan
(Cancelled but technical report was issued)
Motor Current Signature Analysis Based On-Line Fault Detection of DC Motor
Naoki Osako (Kwansei Gakuin Univ.), Hiroyuki Kanbara (ASTEM), Nagisa Ishiura (Kwansei Gakuin Univ.) VLD2019-111 HWS2019-84
This article presents a method for online detection of DC motors' fault based on current signature analysis.
While cu... [more]
VLD2019-111 HWS2019-84
pp.101-106
ISEC, SITE, ICSS, EMM, HWS, BioX, IPSJ-CSEC, IPSJ-SPT [detail] 2019-07-24
12:10
Kochi Kochi University of Technology Recording device identification based on audio distortion depending on system-on-chip
Akira Nishimura (Tokyo Univ. Info. Sci.) ISEC2019-48 SITE2019-42 BioX2019-40 HWS2019-43 ICSS2019-46 EMM2019-51
This study addresses device-specific distortion observed in recorded
audio, to identify a built-in system-on-a-chip (... [more]
ISEC2019-48 SITE2019-42 BioX2019-40 HWS2019-43 ICSS2019-46 EMM2019-51
pp.311-316
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-18
10:25
Okinawa Okinawa Institute of Science and Technology Spatial-Temporal decomposition to resting and task MEG using DMD
Fumiya Nakai (NAIST), Okito Yamashita (ATR) NC2019-13 IBISML2019-11
Magneto/electroencephalography (M/EEG) observe neural activities with high spatial-temporal resolution without invasive ... [more] NC2019-13 IBISML2019-11
pp.51-56(NC), pp.73-78(IBISML)
HWS, ISEC, SITE, ICSS, EMM, IPSJ-CSEC, IPSJ-SPT [detail] 2018-07-26
09:55
Hokkaido Sapporo Convention Center Effects of high frequency components on steganalysis of data hiding in low-order bits of an audio waveform
Akira Nishimura (Tokyo Univ. Info. Sci.) ISEC2018-33 SITE2018-25 HWS2018-30 ICSS2018-36 EMM2018-32
Steganalysis, which identifies the presence or absence of information hiding in
digital contents, is important in orde... [more]
ISEC2018-33 SITE2018-25 HWS2018-30 ICSS2018-36 EMM2018-32
pp.229-236
ASN, NS, RCS, SR, RCC
(Joint)
2018-07-11
14:35
Hokkaido Hakodate Arena An evaluation of propagation loss on wireless physical layer identification
Taichi Ohtsuji, Tatsuya Soma, Toshiki Takeuchi, Masaki Kitsunezuka, Kazuaki Kunihiro (NEC) RCC2018-31 NS2018-44 RCS2018-86 SR2018-25 ASN2018-25
Wireless devices have trivial individual differences due to hardware imperfections. Therefore, extracting unique feature... [more] RCC2018-31 NS2018-44 RCS2018-86 SR2018-25 ASN2018-25
pp.37-43(RCC), pp.43-49(NS), pp.37-43(RCS), pp.25-31(SR), pp.53-59(ASN)
SIP, EA, SP, MI
(Joint) [detail]
2018-03-20
12:55
Okinawa   Study on Noise Suppression Method based on Modulation Spectrum
Takuto Isoyama, Masashi Unoki (JAIST) EA2017-168 SIP2017-177 SP2017-151
It is known that classical and typical methods for noise suppression can successfully suppress stationary noises. Howeve... [more] EA2017-168 SIP2017-177 SP2017-151
pp.361-366
SIP, IT, RCS 2018-01-23
10:50
Kagawa Sunport Hall Takamatsu A Study on Carrier Frequency Offset between BLE Terminals for ICA based-SDMA in BLE Systems
Masahiro Takigawa, Shinsuke Ibi, Seiichi Sampei (Osaka Univ.) IT2017-87 SIP2017-95 RCS2017-301
This paper shows that previously proposed Maximum A-posteriori Probability (MAP) detection based on differential detecto... [more] IT2017-87 SIP2017-95 RCS2017-301
pp.189-194
AP 2016-03-10
10:55
Yamanashi Isawa Onsen (Kanpo no Yado) Equivalent Circuit Design of Unit Cell in Frequency Dispersive Phase Shifter Enlarging Frequency Dispersion of Phase Characteristics for Multi-Band Base Station Antenna
Yasuhito Yanagisawa, Ryuji Kataoka, Keizo CHO (CIT), Naobumi Michishita (NDA), Ichiro Oshima (DKK) AP2015-205
Frequency dispersive phase shifter for a multi-band base station antenna, which is capable of increasing the communicati... [more] AP2015-205
pp.7-11
US 2016-02-29
15:45
Tokyo Instiute of Industrial Science, the University of Tokyo Investigation on Estimation of 2D Displacement of a Target by Frequency Analysis of Ultrasonic Echoes
Kohei Yonei, Kaori Kaburaki, Hiroki Takahashi, Hideyuki Hasegawa (Univ. Toyama) US2015-117
We are aiming to measure the dynamics of biological tissue by means of high frame rate ultrasonography. For measurement ... [more] US2015-117
pp.51-54
MBE 2015-01-22
11:15
Kumamoto Kumamoto University Motion artifact removal method for EEG by ICA and filtering
Kazuki Onikura, Keiji Iramina (Kyushu Univ.) MBE2014-95
The present study proposes a method to remove motion-artifacts for considering online processing and improving reliabili... [more] MBE2014-95
pp.13-16
MBE 2014-05-24
16:05
Toyama University of Toyama Estimation Method of Trait Anxiety by Frequency Analysis of Pupil Diameter Variation
Yuki Yamakawa, Hironobu Takano, Kiyomi Nakamura (Toyama Prefectural Univ) MBE2014-11
In the trait anxiety examination, it is required to use physiological responses as objective indicators, instead of the ... [more] MBE2014-11
pp.53-56
SANE 2013-12-02
10:10
Overseas VAST/VNSC(2nd Dec.) & Melia Hotel (3rd Dec), Hanoi, Vietnam Target Detection Algorithm using Independent Component Analysis for Pulse Doppler Radar
Shuri Kondo, Shouhei Kidera, Tetsuo Kirimoto (UEC) SANE2013-73
Microwave pulse Doppler radar systems are useful tools for airplane position and velocity estimation in all-weather situ... [more] SANE2013-73
pp.13-17
SIP, CAS, CS 2013-03-14
16:05
Yamagata Keio Univ. Tsuruoka Campus (Yamagata) [Invited Talk] On the issues of DOA Estimation and Separation for Multiple Speech Signals
Nozomu Hamada (Keio Univ.) CAS2012-108 SIP2012-139 CS2012-114
On the issues of direction-of-arrival estimation of multiple sound sources and blind source separation of mixed speech s... [more] CAS2012-108 SIP2012-139 CS2012-114
pp.69-74
EA 2011-03-18
10:00
Aichi Nagoya Univ. Tiny-setup Blind Source Separation via Time-Varying Softmask based on Alternative Separation Matrix
Kazunobu Kondo, Yu Takahashi, Seiichi Hashimoto (Yamaha Corp.), Takanori Nishino (Mie Univ.), Kazuya Takeda (Nagoya Univ.) EA2010-126
Frequency domain independent component analyis has received much attention from many industries for high performace spee... [more] EA2010-126
pp.1-6
PRMU, MVE, IPSJ-CVIM [detail] 2011-01-21
15:45
Shiga   High Frequency Compensated Face Hallucination Method
So Sasatani, Xian-Hua Han, Motonori Ohashi, Yutaro Iwamoto, Yen-Wei Chen (Ritsumeikan Univ.) PRMU2010-189 MVE2010-114
Face Hallucination method is one of learning-based super-resolution techniques, which can reconstruct a high-resolution ... [more] PRMU2010-189 MVE2010-114
pp.323-328
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