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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
CCS 2024-03-27
14:25
Hokkaido RUSUTSU RESORT Multi-task Collaborative Learning Based on Common Bases of Neural Networks
Fumiya Arai, Atsushi Hori, Tetsuya Asai, Kota Ando (Hokkaido Univ.) CCS2023-45
(To be available after the conference date) [more] CCS2023-45
pp.36-41
RCS, SR, SRW
(Joint)
2024-03-14
10:25
Tokyo The University of Tokyo (Hongo Campus), and online
(Primary: On-site, Secondary: Online)
Study on improving frequency usage efficiency using baseband MIMO method aiming at 5G expansion(2) -- MxN times communication method using real MIMO and baseband MIMO --
Maria Takigawa (Meiji Univ.), Gen-ichiro Ohta (YRP), Tetsushi Ikegami (Meiji Univ.) RCS2023-272
In this study, the spectrum efficiency is multiplied by M×N by superimposing MIMO in real space (rank M) and baseband MI... [more] RCS2023-272
pp.106-111
RISING
(3rd)
2023-10-31
10:45
Hokkaido Kaderu 2・7 (Sapporo) [Poster Presentation] Study on Beamforming Feedback in Wireless LANs and Singular Value Decomposition
Hiroki Shimomura (Kyoto Univ.), Koji Yamamoto (KIT), Takayuki Nishio (Tokyo Tech.), Akihito Taya (Tokyo Univ.)
We investigated the properties of beamforming feedback (BFF) facilitated by singular value decomposition (SVD) as a step... [more]
MIKA
(3rd)
2023-10-11
14:30
Okinawa Okinawa Jichikaikan
(Primary: On-site, Secondary: Online)
[Poster Presentation] Study on improving frequency usage efficiency using baseband MIMO method aiming at 5G expansion -- MxN times communication method using real MIMO and baseband MIMO --
Maria Takigawa, Tetsushi Ikegami (Meiji Univ.)
5G has determined the limits of modulation and demodulation technology and has left the improvement of frequency efficie... [more]
DE 2023-06-16
08:50
Tokyo Musashino University
(Primary: On-site, Secondary: Online)
Analysis of Impact of Interest Rate Hikes on U.S. Industry Market Capitalization -- Time Series Data Analysis by Amplitude-based Clustering --
Saki Takabatake, Yukari Shirota (Gakushuin Univ.) DE2023-1
The U.S. Federal Reserve Board (FRB) has been raising the Federal Funds Rate (FF Rate), since March 2022 for price stabi... [more] DE2023-1
pp.1-6
EMT, IEE-EMT 2023-05-19
13:05
Kanagawa Information Technology R & D Center, MITSUBISHI Electric Corp. A fundamental study on a numerical Helmholtz decomposition of surface electromagnetic currents
Kazuki Niino, Junpei Nishi (Kyoto Univ.) EMT2023-1
The loop-star decomposition is known as a pseudo Helmholtz decompositions of the Rao-Wilton-Glisson~(RWG) basis function... [more] EMT2023-1
pp.1-3
CAS, MSS, IPSJ-AL [detail] 2022-11-17
14:35
Kochi
(Primary: On-site, Secondary: Online)
On a relation between quantum entanglements and MMO incrementing bifurcation phenomena
Hideaki Okazaki, Naohiko Inaba (SIT), Takuji Kousaka (Chukyo Univ.) CAS2022-41 MSS2022-24
In this report, by focusing on each respective characteristic regularity of quantum entanglement and MMOs, the relations... [more] CAS2022-41 MSS2022-24
pp.25-29
SRW, SeMI, CNR
(Joint)
2021-11-26
15:00
Tokyo Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
[Poster Presentation] Frame-Capture-Based CSI Recomposition Pertaining to Firmware-Agnostic WiFi Sensing
Ryosuke Hanahara, Sohei Itahara, Kota Yamashita (Kyoto Univ.), Yusuke Koda (Univ. Oulu), Akihito Taya (Kyoto Univ./Aoyama Gakuin Univ.), Takayuki Nishio (Kyoto Univ./Tokyo Tech.), Koji Yamamoto (Kyoto Univ.) SRW2021-48 SeMI2021-47 CNR2021-22
This paper presents an estimation method of channel state information (CSI) matrices using corresponding beamforming fee... [more] SRW2021-48 SeMI2021-47 CNR2021-22
pp.71-73(SRW), pp.58-60(SeMI), pp.48-50(CNR)
AP 2021-08-20
10:25
Online Online Low Complexity Channel Analysis using Discrete Fourier Basis for Wireless LAN Sensing
Yuhei Nagao (Radrix), Kosuke Tsuji, Ryotaro Isshiki, Leonardo Lanante (Kyutech), Hiroshi Ochi (Radrix) AP2021-49
Channel State Information (CSI) sensing over wireless LAN is gathering attention, because it enables economically and ea... [more] AP2021-49
pp.7-12
RCS 2021-06-25
13:35
Online Online Tensor-aided Beamforming Design for Full Duplex Cell-Free MIMO
Kengo Ando (UEC), Hiroki Iimori (JUB), Koji Ishibashi (UEC), Giuseppe Abreu (JUB) RCS2021-72
In this paper, we investigate a transmit (TX) and receive (RX) beamforming (BF) design for full-duplex cell-free multipl... [more] RCS2021-72
pp.249-254
QIT
(2nd)
2021-05-25
09:30
Online Online Acceleration of Extreme Learning Machines by Dequantization of Quantum Singular Value Decomposition
Iori Takeda, Souichi Takahira, Kousuke Mitarai, Keisuke Fujii (Osaka Univ.)
In 2016, the quantum recommendation system was proposed by Kerenidis and Prakash, and it was shown that the singular val... [more]
RCS, SR, SRW
(Joint)
2021-03-03
10:10
Online Online Multi-input Physical Layer Network Coding in wireless two-way relay networks
Hideaki Tsugita, Satoshi Denno, Hou Yafei (Okayama Univ) SRW2020-51
In this paper, we propose a multi-input physical layer network coding (Multi-input PLNC) method for two-way communicatio... [more] SRW2020-51
pp.1-6
RCS, SR, SRW
(Joint)
2021-03-05
11:20
Online Online Tensor-aided Beamforming Design for Cell-Free MIMO
Kengo Ando (UEC), Hiroki Iimori, Giuseppe Abreu (JUB), Koji Ishibashi (UEC) RCS2020-257
In this paper, we investigate a transmit (TX) and receive (RX) beamforming (BF) design for cell free multiple input mult... [more] RCS2020-257
pp.252-257
SIP, IT, RCS 2021-01-22
13:20
Online Online Acceleration of Fast Multiple Singular Value Thresholding with Fast Inverse Square Root
Takayuki Sasaki, Ryuichi Tanida, Kimata Hideaki (NTT) IT2020-104 SIP2020-82 RCS2020-195
In this paper, we propose a method for speeding up the singular value thresholding of a small many matrices using the fa... [more] IT2020-104 SIP2020-82 RCS2020-195
pp.230-234
SRW, SeMI, CNR
(Joint)
2020-11-26
09:20
Online Online A Construction Method of Overloaded Physical-Layer Network Coding
Tomoya Tanikawa, Satoshi Denno, Yafei Hou (Okayama University) SRW2020-26
This paper proposes a physical-layer network coding for MIMO two-way two-hop networks that achieves high speed communica... [more] SRW2020-26
pp.7-12
WBS, ITS, RCC 2018-12-06
10:00
Okinawa Miyako Island Hirara Port Terminal Bldg. [Poster Presentation] A study on the relationship between channel matrices and communication performance in indoor optical wireless MIMO systems
Hirotoshi Sugiura, Kentaro Kobayashi, Hiraku Okada, Masaaki Katayama (Nagoya Univ.) WBS2018-35 ITS2018-18 RCC2018-66
In optical wireless MIMO (OWC-MIMO) systems, the channel matrices are controllable by changing design of optical compone... [more] WBS2018-35 ITS2018-18 RCC2018-66
pp.47-52
EMCJ 2018-04-13
14:00
Tokyo Tokyo Institute of Technology Analysis method for magnetically coupled loop system with relative motion for calculating electromagnetic induction by MAGLEV train
Yoshimasa Sakai, Atsuhiro Nishikata, Masamitsu Tokuda (TIT) EMCJ2018-2
In order to solve the electromagnetic induction problem caused by moving magnetic field with high speed running MAGLEV t... [more] EMCJ2018-2
pp.7-12
SIP, EA, SP, MI
(Joint) [detail]
2018-03-20
09:00
Okinawa   [Poster Presentation] Effective Frequency Bands and Features for Epileptic Focus Detectionfrom Interical Electrocorticogram
Tatsunori Itakura, Shintaro Ito, Toshihisa Tanaka (TUAT), Hidenori Sugano (Juntendo Univ.) EA2017-159 SIP2017-168 SP2017-142
In this paper, we propose fast singular value decomposition (SVD) based on the Chebyshev polynomial approximation (CPA).... [more] EA2017-159 SIP2017-168 SP2017-142
pp.311-316
SIP, EA, SP, MI
(Joint) [detail]
2018-03-20
15:20
Okinawa   Fast Singular Value Decomposition Using Polar Decomposition Based on Chebyshev Polynomial Approximation
Masaki Onuki, Yuichi Tanaka (TUAT) EA2017-173 SIP2017-182 SP2017-156
In this paper, we propose fast singular value decomposition (SVD) based on the Chebyshev polynomial approximation (CPA).... [more] EA2017-173 SIP2017-182 SP2017-156
pp.391-396
PRMU, MVE, IPSJ-CVIM [detail] 2018-01-18
18:05
Osaka   Convolutional Neural Network based on Entanglement Entropy and Convolutional Neural Network based on Principal Component Analysis
Shu Eggchee, Masaru Tanaka (Fukuoka Univ.) PRMU2017-129 MVE2017-50
In this paper, we study the differences in the CNN performing processing in accordance with the data using the CNN and e... [more] PRMU2017-129 MVE2017-50
pp.141-146
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