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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 11 of 11  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, MBE, NLP, MICT
(Joint) [detail]
2024-01-25
16:50
Tokushima Naruto University of Education Analysis of Synchrophasor Data in a Distribution Grid Using Koopman Mode Decomposition toward Dimensionality Reduction
Tadahiro Yano, Yoshihiko Susuki (Kyoto Univ.) NLP2023-118 MICT2023-73 MBE2023-64
In this report, we study a method to reduce the dimension on highly-resolved time series data of voltage phasors measure... [more] NLP2023-118 MICT2023-73 MBE2023-64
pp.162-165
SeMI, RCS, RCC, NS, SR
(Joint)
2023-07-14
09:35
Osaka Osaka University Nakanoshima Center + Online
(Primary: On-site, Secondary: Online)
Data-Driven Distributed Control for Positive Systems
Takumi Iwata (Nagoya Univ.), Shun-ichi Azuma (Kyoto Univ.), Ryo Ariizumi (TUAT), Toru Asai (Nagoya Univ.) RCC2023-18
In this research, we consider a data-driven distributed control for positive systems. For given input/state data, the co... [more] RCC2023-18
pp.16-19
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2023-06-29
13:30
Okinawa OIST Conference Center
(Primary: On-site, Secondary: Online)
Selective Inference for a Combination of Feature Selection Algorithms
Tatsuya Matsukawa (Nagoya Univ.), Daiki Miwa (NITech), Vo Nguyen Le Duy (RIKEN), Koichi Taji (Nagoya Univ.), Ichiro Takeuchi (Nagoya Univ./RIKEN) NC2023-1 IBISML2023-1
In data-driven science, classical statistical hypothesis testing does not provide an adequate reliability assessment bec... [more] NC2023-1 IBISML2023-1
pp.1-8
CCS, NLP 2023-06-09
11:10
Tokyo Tokyo City Univ. A study on learning Koopman operators from synchrophasor data on distribution voltage amplitudes
Tadahiro Yano, Yoshihiko Susuki (Kyoto Univ.) NLP2023-21 CCS2023-9
In recent years, the so-called micro-Phasor Measurement Unit ($mu$PMU) has become a promising new option for managing AC... [more] NLP2023-21 CCS2023-9
pp.35-38
IT, RCS, SIP 2023-01-25
12:20
Gunma Maebashi Terrsa
(Primary: On-site, Secondary: Online)
A Study on Wireless Autoencoder for Data-Aided Channel Estimation
Yoshinori Ichihashi, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Takanobu Doi, Kazushi Muraoka, Naoto Ishii (NEC), Hisato Iwai (Doshisha Univ.) IT2022-56 SIP2022-107 RCS2022-235
In MIMO (Multiple-Input Multiple-Output) channels, when the channel matrix is obtained by the Data-Aided Channel Estimat... [more] IT2022-56 SIP2022-107 RCS2022-235
pp.154-159
IN 2023-01-20
10:30
Aichi Aichi Industry & Labor Center
(Primary: On-site, Secondary: Online)
[Invited Talk] Introduction of DX initiatives that move forward together with the region
Takahiro Matsumoto (NTT-W) IN2022-63
DX initiatives have a variety of themes, approaches, and tools. On the other hand, regardless of the approach, it is com... [more] IN2022-63
pp.72-75
RCS, SIP, IT 2022-01-21
15:00
Online Online [Invited Talk] Deep Learning-Aided Belief Propagation for Large Multiuser MIMO Detection
Takumi Takahashi (Osaka Univ.), Shinsuke Ibi (Doshisha Univ.), Seiichi Sampei (Osaka Univ.) IT2021-80 SIP2021-88 RCS2021-248
With the increasing dimensionality of wireless communication signals, low-complexity signal detection algorithms to solv... [more] IT2021-80 SIP2021-88 RCS2021-248
pp.289-294
NLP, CCS 2021-06-11
14:20
Online Online A Study on Participation Factors for Systems Described by Nonlinear Differential-Algebraic Equations via Koopman Mode Decomposition
Kenji Takamichi (Osaka Pref Univ.), Yoshihiko Susuki (Osaka Pref Univ./JST), Atsushi Ishigame (Osaka Pref Univ.) NLP2021-8 CCS2021-8
The technique of participation factors has been used for quantifying connections between system variables and modes in L... [more] NLP2021-8 CCS2021-8
pp.34-39
ITS, WBS, RCC 2020-12-14
10:45
Online Online A Study on Relaxation of Network Restriction in Deep-Unfolding aided Consensus
Shoya Ogawa, Ishii Koji (Kagawa Univ.) WBS2020-11 ITS2020-7 RCC2020-14
In the consensus problem with a complex network, the convergence performance deeply depends on the given parameters, i.e... [more] WBS2020-11 ITS2020-7 RCC2020-14
pp.19-24
NLC, IPSJ-NL, SP, IPSJ-SLP
(Joint) [detail]
2019-12-06
13:55
Tokyo NHK Science & Technology Research Labs. [Poster Presentation] Estimation of three-dimensional tongue shape from midsagittal tongue contour using regression models
Tatsuya Kitamura (Konan Univ.), Hisanori Makinae (NRIPS), Masashi Ito (TIT) SP2019-40
In this study, we investigated methods to estimate the tongue contours of the outer sagittal planes from a midsagittal t... [more] SP2019-40
pp.67-72
AI 2016-12-09
17:30
Oita   Incentive design in crowdsourcing as a multi-armed bandit problem -- A case of more than one requesters --
Shigeo Matsubara, Akihiko Itoh (Kyoto Univ.) AI2016-23
We have examined to apply the multi-armed bandit (MAB) techniques to an incentive design problem in crowdsourcing. So fa... [more] AI2016-23
pp.61-66
 Results 1 - 11 of 11  /   
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