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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 47  /  [Next]  
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
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