Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NC, MBE (Joint) |
2024-03-11 11:40 |
Tokyo |
The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Time-series Forecasting Coding: Proposal of A New Processing Method Developed from Predictive Coding for Recurrent Neural Networks Yuto Wakui, Junya Kato, Ryo Natsuaki, Akira Hirose (UTokyo.) NC2023-46 |
This paper proposes a new method for processing time-series data in recurrent neural networks (RNNs), namely, time-serie... [more] |
NC2023-46 pp.19-24 |
SIP, IT, RCS |
2024-01-19 10:20 |
Miyagi |
(Primary: On-site, Secondary: Online) |
Coordinated Multi-Point with Hierarchical Active Inference of Position and Propagation Channel Tatsuya Otoshi, Masayuki Murata (Osaka Univ.) IT2023-63 SIP2023-96 RCS2023-238 |
This study focuses on cooperative beamforming among base stations in wireless communication technology and proposes a ne... [more] |
IT2023-63 SIP2023-96 RCS2023-238 pp.181-186 |
RCS |
2023-04-14 10:50 |
Shimane |
Matsue New Urban Hotel, and online (Primary: On-site, Secondary: Online) |
Adaptive K-Repetition Transmission with Site Diversity Reception for 5G NR Uplink Grant-Free URLLC Arif Dataesatu, Kosuke Sanada, Hiroyuki Hatano, Kazuo Mori (Mie Univ.), Pisit Boonsrimuang (KMITL) RCS2023-12 |
The fifth-generation (5G) new radio (NR) standard employs ultra-reliable and low-latency communication (URLLC) capabilit... [more] |
RCS2023-12 pp.56-61 |
CCS |
2023-03-26 11:15 |
Hokkaido |
RUSUTSU RESORT |
Hardware Implementation of Predictive Coding Networks based on the Free Energy Principle Naruki Hagiwara, Takafumi Kunimi, Kota Ando (Hokkaido Univ.), Megumi Akai (Hokkaido Univ./Osaka Univ.), Tetsuya Asai (Hokkaido Univ.) CCS2022-69 |
Agents form generative models in the brain through perception and actions for adapting to the external environment. In t... [more] |
CCS2022-69 pp.36-41 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2023-03-03 17:10 |
Hokkaido |
Future University Hakodate (Primary: On-site, Secondary: Online) |
Forest Construction of Gaussian and Discrete Variables based on WBIC Ashraful Islam, Joe Suzuki (Osaka Univ.) PRMU2022-126 IBISML2022-133 |
Mutual information is a metric that determines the association between two random variables by measuring the amount of i... [more] |
PRMU2022-126 IBISML2022-133 pp.371-377 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2023-03-03 17:25 |
Hokkaido |
Future University Hakodate (Primary: On-site, Secondary: Online) |
The free energy of the mean field approximation in normal crossing functions Miki Aoyagi (Nihon Univ.) PRMU2022-127 IBISML2022-134 |
Then main terms of the free energy in singular models are obtained by a resolution map of Kullback function's singularit... [more] |
PRMU2022-127 IBISML2022-134 pp.378-383 |
EMT, IEE-EMT |
2022-11-17 10:00 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Investigation of Electron Bunch Dynamics in Wake Fields Induced at Particle Accelerator Curved Section Hideki Kawaguchi, Tomohide Kawamura (Muroran-IT) EMT2022-44 |
In an X-ray fee-electron laser (XFEL) or linear collider, an electron beam is compressed by a bunch compressor to attain... [more] |
EMT2022-44 pp.1-5 |
RCS |
2022-10-27 12:30 |
Ehime |
Ehime University, and online (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Research Activities for Deploying Cell-Free Massive MIMO Systems Masaaki Ito (KDDI Research/USC), Shunsuke Kamiwatari, Noboru Osawa, Issei Kanno, Yoshiaki Amano (KDDI Research) RCS2022-132 |
In cell-free massive MIMO systems, a massive number of distributed antennas cooperate with each other and communicate wi... [more] |
RCS2022-132 p.25 |
NC, MBE (Joint) |
2022-09-29 13:50 |
Miyagi |
Tohoku Univ. (Primary: On-site, Secondary: Online) |
Isotropic Inference and Modularity in Neural Networks Yuma Onishi, Tomoaki Imajo, Yusuke Matsubara, Koiti Hasida (UTokyo) NC2022-37 |
Neural networks can be regarded as a system of simultaneous equations. Reasoning with it is to solve the simultaneous eq... [more] |
NC2022-37 pp.20-23 |
CCS, NLP |
2022-06-10 16:45 |
Osaka |
(Primary: On-site, Secondary: Online) |
Motion artifact reduction in EEG recordings using the multivariate temporal response function of acceleration signals with hyperparameter estimation Hiroaki Umehara, Yusuke Yokota (NICT), Masato Okada (UTokyo/NICT), Yasuishi Naruse (NICT) NLP2022-24 CCS2022-24 |
The recent advances of wearable electroencephalography (EEG) systems with dry electrodes provide the realization of brai... [more] |
NLP2022-24 CCS2022-24 pp.123-128 |
CQ, CBE (Joint) |
2022-01-27 10:25 |
Ishikawa |
Kanazawa(Ishikawa Pref.) (Primary: On-site, Secondary: Online) |
Study on Channel Database for Cell-Free Massive MIMO Takahiro Matsuda (TMU), Kentaro Nishimori (Niigata Univ.) CQ2021-77 |
Cell-Free Massive MIMO (CF-Ma-MIMO) systems comprise a very large number of access points (APs) distributed over a wide ... [more] |
CQ2021-77 pp.7-12 |
AP, RCS (Joint) |
2021-11-12 11:20 |
Nagasaki |
NBC-Bekkan (Nagasaki) (Primary: On-site, Secondary: Online) |
A Study on Intelligent Reflecting Surface (IRS) Aided Cell-Free Network
-- IRS Reflection Coefficients Optimization by Quantum Computing for SDMA -- Takahiro Ohyama (PSNRD), Yuichi Kawamoto, Nei Kato (Tohoku Univ.) RCS2021-170 |
The IRS (Intelligent Reflecting Surface), which enables control of propagation characteristics, is attracting attention ... [more] |
RCS2021-170 pp.142-147 |
RCS |
2021-10-21 14:15 |
Online |
Online |
A Study on Intelligent Reflecting Surface (IRS) Aided Cell-Free Network
-- IRS Reflection Coefficients Optimization by Quantum Computing for MIMO Channel Capacity Maximization -- Takahiro Ohyama (PSNRD), Yuichi Kawamoto, Nei Kato (Tohoku Univ.) RCS2021-125 |
The IRS (Intelligent Reflecting Surface), which enables control of propagation characteristics, is attracting attention ... [more] |
RCS2021-125 pp.43-48 |
RCS, SAT (Joint) |
2021-08-27 13:35 |
Online |
Online |
A Study on Intelligent Reflecting Surface (IRS) Aided Cell-Free Network
-- IRS Reflection Coefficients Optimization by Quantum Computing -- Takahiro Ohyama (PSNRD), Yuichi Kawamoto, Nei Kato (Tohoku Univ.) RCS2021-112 |
The IRS (Intelligent Reflecting Surface), which enables control of propagation characteristics, is attracting attention ... [more] |
RCS2021-112 pp.69-74 |
NC, MBE (Joint) |
2020-03-05 13:00 |
Tokyo |
University of Electro Communications (Cancelled but technical report was issued) |
Bayesian learning curve for the case when the optimal distribution is not unique Shuya Nagayasu, Sumio Watanabe (Tokyo Tech) NC2019-94 |
Bayesian inference is a widely used statistical method. Asymptotic behaviors of generalization loss and free energy in B... [more] |
NC2019-94 pp.107-112 |
IBISML |
2020-01-09 13:00 |
Tokyo |
ISM |
Asymptotic Behavior of Bayesian Generalization Error in Multinomial Mixtures Takumi Watanabe, Sumio Watanabe (Tokyo Tech) IBISML2019-18 |
Multinomial mixtures are widely used in the information engineering field. However, it is not subject to the conventiona... [more] |
IBISML2019-18 pp.1-8 |
IBISML |
2020-01-09 13:25 |
Tokyo |
ISM |
Real Log Canonical Threshold of Three Layered Neural Network with Swish Activation Function Raiki Tanaka, Sumio Watanabe (Tokyo Tech) IBISML2019-19 |
In neural network learning, it is known that selection of activation function effects generalization performance. Althou... [more] |
IBISML2019-19 pp.9-15 |
WPT |
2019-06-10 13:35 |
Hokkaido |
Hokkaido Univ. |
Experimental Verification of Space Time Beam Forming Algorithm to realize Maintenance-Free IoT Sensors with Wireless Power Transfer System in 5.7GHz band Gurusanthosh Pabbisetty, Kentaro Taniguchi, Toshiya Mitomo, Hiroki Mori (Toshiba) WPT2019-10 |
Smart factories can be realized by effective and flexible placement of IoT sensors in all the equipment. Even though man... [more] |
WPT2019-10 pp.1-5 |
RCS, IN, NV (Joint) |
2019-05-16 15:10 |
Kanagawa |
Keio University |
[Invited Talk]
Research trend of spatial optical communications with expanding applications Yoshihisa Takayama (Tokai Univ.) IN2019-7 RCS2019-28 |
A variety of applications of free-space laser propagation such as measurements, communications, energy transmissions, et... [more] |
IN2019-7 RCS2019-28 pp.23-28(IN), pp.35-40(RCS) |
SDM |
2018-11-09 09:20 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
[Invited Talk]
Topography Simulation of Trench-Filling Growth of 4H-SiC Kazuhiro Mochizuki, Shiyang Ji, Ryoji Kosugi, Yoshiyuki Yonezawa, Hajime Okumura (AIST) SDM2018-70 |
A topography-simulation model is proposed to simulate chemical-vapor-deposition (CVD) trench filling for 4H-SiC superjun... [more] |
SDM2018-70 pp.29-34 |