Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
RCS, SAT (Joint) |
2023-08-31 16:20 |
Nagano |
Naganoken Nokyo Building, and online (Primary: On-site, Secondary: Online) |
[Encouragement Talk]
Comparative study of channel coding methods for performance improvement in next-generation optical satellite data relay system Eiji Okamoto, Yuma Yamashita (NITech), Yohei Satoh, Mitsuhiro Nakadai, Takamasa Itahashi, Shiro Yamakawa (JAXA) SAT2023-42 |
Optical satellite data relay systems which send high-capacity data observed by low-orbit user satellites to geostationar... [more] |
SAT2023-42 pp.41-45 |
OFT, OCS, LSJ (Joint) [detail] |
2023-08-24 15:25 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
[Invited Talk]
Studies of Parallel Implementation and Use Case Demonstration for Softwarization of Optical Access Networks Takahiro Suzuki, Sang-Yuep Kim, Jun-ichi Kani, Tomoaki Yoshida (NTT) OCS2023-22 |
By applying software-defined network (SDN) and network function virtualization (NFV) to optical access networks, study i... [more] |
OCS2023-22 pp.15-20 |
SCE |
2023-08-08 11:25 |
Kanagawa |
Yokohama National Univ. (Primary: On-site, Secondary: Online) |
Low-Cost Sorting Network Circuits Based on Temporal Logic Using Single Flux Quantum Circuits Zeyu Han, Zongyuan Li, Yamanashi Yuki, Yoshikawa Nobuyuki (YNU) SCE2023-5 |
Sorting is important in various applications such as image processing and switching systems. Hardware cost and power con... [more] |
SCE2023-5 pp.22-27 |
RECONF |
2023-08-04 14:55 |
Hokkaido |
Hakodate Arena (Primary: On-site, Secondary: Online) |
An Elastic FPGA-based Accelerator for Bayesian Network Structure Learning Ryota Miyagi (The Univ. of Tokyo), Ryota Yasudo (Kyoto Univ.), Kentaro Sano (RIKEN), Hideki Takase (The Univ. of Tokyo) RECONF2023-15 |
A Bayesian network is a powerful model for representing knowledge involving uncertainty within discrete random variables... [more] |
RECONF2023-15 pp.7-12 |
QIT (2nd) |
2023-05-30 16:05 |
Kyoto |
Katsura Campus, Kyoto University |
Quantum channel encoding and its applications Yusuke Ogata (TokyoTech), Ryuhei Mori (Nagoya Univ.) |
In this study, we consider a general framework for encoding an unknown quantum channel into a quantum state by oracle ac... [more] |
|
RCS, IN, NV (Joint) |
2023-05-25 16:50 |
Kanagawa |
Keio University (Hiyoshi Campus), and online (Primary: On-site, Secondary: Online) |
[Invited Talk]
Meta-networking: Overcoming the Shannon Limit by Empowering Information Density with Multi-faceted Awareness Celimuge Wu (UEC) IN2023-11 RCS2023-22 |
This talk introduces Meta-networking: a paradigm shift to the "Networking and Telecommunications" field. Meta-networking... [more] |
IN2023-11 RCS2023-22 p.48(IN), p.36(RCS) |
IMQ, IE, MVE, CQ (Joint) [detail] |
2023-03-16 15:15 |
Okinawa |
Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
A Method for Fast Compression of Sign Bits of DCT Coefficients in Image Coding Fuma Ito, Chihiro Tsutake, Keita Takahashi, Toshiaki Fujii (Nagoya Univ.) IMQ2022-56 IE2022-133 MVE2022-86 |
Compressing the signs of DCT coefficients is an intractable problem in image coding because of their equiprobable charac... [more] |
IMQ2022-56 IE2022-133 MVE2022-86 pp.178-181 |
RCC, ISEC, IT, WBS |
2023-03-14 13:00 |
Yamaguchi |
(Primary: On-site, Secondary: Online) |
Exponential Strong Converse for Source Coding with Encoded Side Information
-- Comparison with Source Coding with Non-encoded Side Information -- Daisuke Takeuchi, Shun Watanabe (TUAT) IT2022-100 ISEC2022-79 WBS2022-97 RCC2022-97 |
The source coding problem with encoded side information is considered. A lower bound on the strong converse exponent has... [more] |
IT2022-100 ISEC2022-79 WBS2022-97 RCC2022-97 pp.209-211 |
RCC, ISEC, IT, WBS |
2023-03-14 15:45 |
Yamaguchi |
(Primary: On-site, Secondary: Online) |
Improvement of the Performance for Quantum Neural Network Classifiers based on Optimal Quantum Measurement Decoding Yusaku Yamada, Jun Suzuki (UEC) IT2022-106 ISEC2022-85 WBS2022-103 RCC2022-103 |
In this work, we study the problem of supervised label classification using quantum neural network (QNN). We propose a m... [more] |
IT2022-106 ISEC2022-85 WBS2022-103 RCC2022-103 pp.242-247 |
SIS |
2023-03-02 14:40 |
Chiba |
Chiba Institute of Technology (Primary: On-site, Secondary: Online) |
QR code image dnoising netwroks based on decodability assessment Kazumitsu Takahashi, Makoto Nakashizuka (CIT) SIS2022-46 |
In this paper, an image denoising method for QR code images is proposed. The image recovery from the degraded QR code im... [more] |
SIS2022-46 pp.33-36 |
RCS, SR, SRW (Joint) |
2023-03-01 16:05 |
Tokyo |
Tokyo Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
Neural Network Based Wideband Digtial Post-distortion for Virtualized Terminal Taishi Watanabe, Takeo Ohseki, Yoshiaki Amano (KDDI Research, Inc.) RCS2022-262 |
A virtualised terminal consisting of a normal user terminal and multiple RF relay devices that perform frequency
conver... [more] |
RCS2022-262 pp.88-93 |
SP, IPSJ-SLP, EA, SIP [detail] |
2023-03-01 09:30 |
Okinawa |
(Primary: On-site, Secondary: Online) |
A Study on Scheduled Sampling for Neural Transducer-based ASR Takafumi Moriya, Takanori Ashihara, Hiroshi Sato, Kohei Matsuura, Tomohiro Tanaka, Ryo Masumura (NTT) EA2022-100 SIP2022-144 SP2022-64 |
In this paper, we propose scheduled sampling approaches suited for the recurrent neural network-transducer (RNNT) that i... [more] |
EA2022-100 SIP2022-144 SP2022-64 pp.147-152 |
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2023-02-21 15:30 |
Hokkaido |
Hokkaido Univ. |
A Study on Adaptation Methods for Universal Deep Image Compression Koki Tsubota, Kiyoharu Aizawa (UTokyo) ITS2022-56 IE2022-73 |
In this study, we tackle universal deep image compression, which aims to compress images in arbitrary domains such as li... [more] |
ITS2022-56 IE2022-73 pp.77-82 |
IE |
2023-02-02 15:30 |
Tokyo |
NII (Primary: On-site, Secondary: Online) |
[Invited Talk]
How Can We Compress Signs of DCT Coefficients in Image Coding?
-- A Method Inspired by Phase Retrieval -- Chihiro Tsutake (Nagoya Univ.) IE2022-55 |
Compressing the signs of DCT coefficients is an intractable problem in image coding because of their equiprobable charac... [more] |
IE2022-55 p.19 |
IT, RCS, SIP |
2023-01-25 10:25 |
Gunma |
Maebashi Terrsa (Primary: On-site, Secondary: Online) |
A Fundamental Study on Decoding Short Length Polar Codes by Deep Learning Reona Kumaki, Hiroshi Tsutsui, Takeo Ohgane (Hokkaido Univ.) IT2022-52 SIP2022-103 RCS2022-231 |
LDPC codes, Turbo codes, and polar codes are currently known
as the best channel codes achieving near Shannon limit.... [more] |
IT2022-52 SIP2022-103 RCS2022-231 pp.132-135 |
VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] |
2022-11-30 16:15 |
Kumamoto |
(Primary: On-site, Secondary: Online) |
FPGA Implementation of Learned Image Compression Heming Sun (Waseda U), Qingyang Yi (UTokyo), Jiro Katto (Waseda U), Masahiro Fujita (UTokyo) VLD2022-53 ICD2022-70 DC2022-69 RECONF2022-76 |
Learned image compression (LIC) has reached a superior coding gain than traditional hand-crafted standards such as JPEG ... [more] |
VLD2022-53 ICD2022-70 DC2022-69 RECONF2022-76 pp.194-199 |
CAS, NLP |
2022-10-20 14:55 |
Niigata |
(Primary: On-site, Secondary: Online) |
Hierarchical Lossless Coding with Arithmetic Coders for Each CNN Predictor Kazuki Nakashima, Ryo Nakazawa, Hideharu Toda, Hisashi Aomori (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Ichiro Matsuda, Susumu Itoh (TUS) CAS2022-23 NLP2022-43 |
We have been developing a scalable lossless coding method using the cellular neural networks (CNN) as predictors.
This ... [more] |
CAS2022-23 NLP2022-43 pp.20-24 |
NS, IN, CS, NV (Joint) |
2022-09-02 11:30 |
Iwate |
MALIOS (Iwate Prefecture) + Online Meeting (Primary: On-site, Secondary: Online) |
One-to-many Transfer based on Multipath Multicast with In-network Cache Ryota Fukuda, Masahiro Shibata, Masato Tsuru (KIT) NS2022-69 |
There is a growing need for fast and efficient one-to-many file transfer to cope with the rapid increase in traffic volu... [more] |
NS2022-69 pp.49-54 |
AP, SANE, SAT (Joint) |
2022-07-29 14:30 |
Hokkaido |
Asahikawa Taisetsu Crystal Hall (Primary: On-site, Secondary: Online) |
Study on efficient channel coding method for next-generation optical satellite data relay system Eiji Okamoto, Yuma Yamashita (NITech), Yohei Satoh, Mitsuhiro Nakadai, Takamasa Itahashi, Shiro Yamakawa (JAXA) SAT2022-27 |
High-capacity satellite communications are continuously demanded, and one of the challenges is to realize a high-capacit... [more] |
SAT2022-27 pp.57-62 |
CPSY, DC, IPSJ-ARC [detail] |
2022-07-28 11:30 |
Yamaguchi |
Kaikyo Messe Shimonoseki (Primary: On-site, Secondary: Online) |
An Efficient Content Sharing for the User QoE Improvement in Mobile Cooperative Cache Taiki Akiba, Celimuge Wu, Tsutomu Yoshinaga (UEC) CPSY2022-7 DC2022-7 |
In recent years, a load on base stations has been increasing due to an increase in the number of mobile users and a high... [more] |
CPSY2022-7 DC2022-7 pp.35-40 |