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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 38  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIP, IT, RCS 2024-01-18
16:10
Miyagi
(Primary: On-site, Secondary: Online)
A Study on Autoencoder for Iterative Signal Detection in MIMO Channels
Yoshinori Ichihashi, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) IT2023-52 SIP2023-85 RCS2023-227
In this paper, we apply deep unfolding to uplink signal detection via probabilistic data association (PDA) and configure... [more] IT2023-52 SIP2023-85 RCS2023-227
pp.115-120
EE, CPM, OME 2023-12-08
13:55
Tokyo Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
Chronopotentiometry of free-standing bilayer lipid membranes formed over an aperture in a Si chip.
Yoshihiro Shimada, Masataka Moriya, Hiroshi Shimada (UEC), Daisuke Tdaki, Ayumi Hirano-Iwata (Tohoku Univ.), Yoshinao Mizugaki (UEC) EE2023-29 CPM2023-85 OME2023-56
A bilayer lipid membrane (BLM) is a basic unit of a cell membrane. Free-standing BLMs formed over an aperture in a micro... [more] EE2023-29 CPM2023-85 OME2023-56
pp.28-31
MSS, CAS, IPSJ-AL [detail] 2023-11-16
17:10
Okinawa   Evaluation of Effectiveness of Intervention Strategy in Control Simulation Experiment through Comparison with Model Predictive Control
Rikuto Nagai, Masaki Ogura (Osaka Univ.), Shunji Kotsuki (Chiba Univ.), Naoki Wakamiya (Osaka Univ.) CAS2023-72 MSS2023-42
The Control Simulation Experiment (CSE) is an attempt to develop weather control methods in the field of weather theory.... [more] CAS2023-72 MSS2023-42
pp.63-68
IT 2023-08-04
09:30
Kanagawa Shonan Institute of Technology
(Primary: On-site, Secondary: Online)
Deep Unfolding-based Distributed MIMO Detection
Masaya Kumagai, Ayano Nakai-Kasai, Tadashi Wadayama (NITech) IT2023-21
This paper proposes a distributed multiple-input multiple-output signal detection algorithm based on DU (deep unfolding)... [more] IT2023-21
pp.38-43
MSS, CAS, SIP, VLD 2023-07-06
14:40
Hokkaido
(Primary: On-site, Secondary: Online)
Convergence Acceleration of Particle-based Variational Inference by Deep Unfolding
Yuya Kawamura, Satoshi Takabe (Tokyo Tech) CAS2023-8 VLD2023-8 SIP2023-24 MSS2023-8
Stein Variational Gradient Descent(SVGD) is a prominent particle-based variational inference method used for estimating ... [more] CAS2023-8 VLD2023-8 SIP2023-24 MSS2023-8
pp.37-42
CPM 2023-02-28
13:00
Tokyo Tokyo University of Technology
(Primary: On-site, Secondary: Online)
Construction of an evaluation platform for specific membrane capacitance through the combination of optical microscopy and artificial cell membrane system
Hironori Kageyama, Maki Komiya, Teng Ma, Ayumi Hirano-Iwata (Tohoku Univ.) CPM2022-95
Ion channels, membrane-embedded proteins, are responsible for selective ion permeation through the cell membrane. Recent... [more] CPM2022-95
pp.39-40
CPM 2023-02-28
15:00
Tokyo Tokyo University of Technology
(Primary: On-site, Secondary: Online)
Temperature dependence of specific capacitance extracted from repeated EIS measurements of free-standing DPPC bilayer membranes
Shoya Ueda, Yoshihiro Shimada, Daiki Hiramatsu, Masataka Moriya (UEC Tokyo), Daisuke Tadaki, Ayumi Hirano-Iwata (Tohoku Univ.), Yoshinao Mizugaki (UEC Tokyo) CPM2022-102
Bilayer lipid membranes (BLMs) formed in micropores are referred to as free-standing BLMs. The folding method is a techn... [more] CPM2022-102
pp.62-65
IT, RCS, SIP 2023-01-24
15:55
Gunma Maebashi Terrsa
(Primary: On-site, Secondary: Online)
Deep Unfolding-based Weighting in Distributed MIMO Detection
Masaya Kumagai, Ayano Nakai-Kasai, Tadashi Wadayama (NITech) IT2022-49 SIP2022-100 RCS2022-228
This paper proposes distributed uplink MIMO (Multiple-Input Multiple-Output) signal detection algorithms based on DU (d... [more] IT2022-49 SIP2022-100 RCS2022-228
pp.114-119
IT, RCS, SIP 2023-01-25
11:30
Gunma Maebashi Terrsa
(Primary: On-site, Secondary: Online)
Channel and Data Estimation via Deep Unfolding-Aided BiGaBP for Correlated Large MIMO
Koichi Maki, Tetsushi Ikegami (Meiji Univ.) IT2022-54 SIP2022-105 RCS2022-233
The study aims to suppress the performance degradation in a correlated fading environment by applying deep unfolding (DU... [more] IT2022-54 SIP2022-105 RCS2022-233
pp.142-147
RCS 2022-06-17
10:35
Okinawa University of the Ryukyus, Senbaru Campus and online
(Primary: On-site, Secondary: Online)
A Study on Data-Driven Fine-Tuning for ICA-Aided Blind Signal Separation
Taisuke Nogami, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) RCS2022-61
Internet of Things (IoT) communications, which will plays an important role in the next-generation wireless communicatio... [more] RCS2022-61
pp.218-223
ED 2022-04-21
09:30
Online Online Non-Linear Response Observed on AC characteristics of Free-standing Lipid Bilayer
Yasutaka Tomioka, Masataka Moriya, Shogo Takashima, Hiroshi Shimada (UEC), Fumihiko Hirose (Yamagata Univ.), Ayumi Hirano-Iwata (Tohoku Univ.), Yoshinao Mizugaki (UEC) ED2022-1
Bilayer lipid membranes (BLMs) mixed with nano materials are expected to be applied for electron devices such as a photo... [more] ED2022-1
pp.1-4
IT, ISEC, RCC, WBS 2022-03-10
14:40
Online Online Optimum Clustering Method for Data Driven Consensus Problem considering Network Centrality
Shoya Ogawa, Koji Ishii (Kagawa Univ) IT2021-109 ISEC2021-74 WBS2021-77 RCC2021-84
In consensus problems in complex networks, the convergence performance deeply depends on the weighting factors. IKishida... [more] IT2021-109 ISEC2021-74 WBS2021-77 RCC2021-84
pp.155-160
IT, ISEC, RCC, WBS 2022-03-11
12:00
Online Online A study of distributed MIMO signal detection based on deep unfolding
Masaya Kumagai, Ayano Nakai-Kasai, Tadashi Wadayama (NITech) IT2021-113 ISEC2021-78 WBS2021-81 RCC2021-88
This paper proposes distributed MIMO (Multiple-Input Multiple-Output)
signal detection algorithms based on DU (deep un... [more]
IT2021-113 ISEC2021-78 WBS2021-81 RCC2021-88
pp.174-179
CPM 2022-03-01
16:35
Online Online Electrical Properties of Bilayer Lipid Membranes Mixed with [70]PCBM
Yoshihiro Shimada, Daiki Hiramatsu, Riku Sato, Masataka Moriya (UEC), Daisuke Tadaki, Ayumi Hirano-Iwata (TOHOKU Univ.), Yoshinao Mizugaki (UEC) CPM2021-83
A bilayer lipid membrane (BLM) is a basic unit of a cell membrane. In the BLM mixed with [60]PCBM, a change in current t... [more] CPM2021-83
pp.42-45
RCS, SIP, IT 2022-01-20
14:30
Online Online A Study on Deep Unfolding-Aided GNSS Positioning
Yuki Hayama, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) IT2021-43 SIP2021-51 RCS2021-211
In Global Navigation Satellite System (GNSS) positioning, the receiver position is estimated by solving the nonlinear si... [more] IT2021-43 SIP2021-51 RCS2021-211
pp.87-92
RCS, SIP, IT 2022-01-21
10:55
Online Online A Study on Bayesian Receiver Design via Deep Unfolding-Aided Bilinear Inference for Correlated Large MIMO
Ryota Tamaki, Kenta Ito, Takumi Takahashi (Osaka Univ.), Shinsuke Ibi (Doshisha Univ.), Seiichi Sampei (Osaka Univ.) IT2021-65 SIP2021-73 RCS2021-233
This paper proposes a joint channel and data estimation (JCDE) scheme via deep unfolding (DU)-aided bilinear generalized... [more] IT2021-65 SIP2021-73 RCS2021-233
pp.207-212
RCS, SIP, IT 2022-01-21
11:20
Online Online Deep-Unfolded Sparse Signal Recovery Algorithm using TopK Operator
Masanari Mizutani (NITech), Satoshi Takabe (TITech), Tadashi Wadayama (NITech) IT2021-72 SIP2021-80 RCS2021-240
Compressed sensing for estimating sparse signals is formulated as an NP-hard problem, where LASSO based on convex relax... [more] IT2021-72 SIP2021-80 RCS2021-240
pp.245-251
RISING
(3rd)
2021-11-17
11:00
Tokyo
(Primary: On-site, Secondary: Online)
A study on variable step size diffusion LMS algorithm with deep unfolding
Tetsuya Sasaki (Osaka City Univ.), Kazunori Hayashi (Kyoto Univ.)
In adaptive filtering using a fixed step size LMS (Least-Mean-Square), there is a trade-off between convergence speed an... [more]
AP, RCS
(Joint)
2021-11-11
10:55
Nagasaki NBC-Bekkan (Nagasaki)
(Primary: On-site, Secondary: Online)
A Study on Receive Beamforming for Multi-User Detection with Trainable Gaussian Belief Propagation
Takanobu Doi, Jun Shikida, Kazushi Muraoka, Naoto Ishii (NEC), Daichi Shirase, Takumi Takahashi (Osaka Univ.), Shinsuke Ibi (Doshisha Univ.) RCS2021-159
We propose two digital receive beamforming (BF) methods for low-complexity and high-accuracy uplink signal detection via... [more] RCS2021-159
pp.86-91
RCS, SR, NS, SeMI, RCC
(Joint)
2021-07-14
10:55
Online Online Relaxation of Network Restriction for Deep Learning Based Consensus Problem with Eigenvector Centrality
Shoya Ogawa, Koji Ishii (Kagawa Univ.) RCC2021-23
he convergence performance of consensus problems depends on the applied weighting factors into individual edges. Unfortu... [more] RCC2021-23
pp.7-12
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