Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IT, EMM |
2024-05-30 15:35 |
Chiba |
Chiba University (Nishi-Chiba Campus) |
On the Complexity of Codewords on Fixed-to-Fixed Length Source Coding Mitsuharu Arimura, Mitsugu Iwamoto (UEC) |
(To be available after the conference date) [more] |
|
RCC, ISEC, IT, WBS |
2024-03-14 10:20 |
Osaka |
Osaka Univ. (Suita Campus) |
IT2023-111 ISEC2023-110 WBS2023-99 RCC2023-93 |
This paper deals with variable-length lossy source coding in which the criteria are a cumulant generating function of co... [more] |
IT2023-111 ISEC2023-110 WBS2023-99 RCC2023-93 pp.238-240 |
SS |
2024-03-09 10:35 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Considerations of an Automatic Feedback Method for a Learner's Editing Source Codes in Programming Exercises
-- Guided Feedback Using Edit Transition Graphs of a Model Answer Program -- Yuki Sawada, Yoshinari Hachisu, Atsushi Yoshida, Hiroaki Kuwabara (Nanzan Univ.) SS2023-78 |
In programming exercises, it is difficult for some learners to complete source codes by themselves. Many researches on a... [more] |
SS2023-78 pp.174-179 |
SIP, SP, EA, IPSJ-SLP [detail] |
2024-02-29 16:20 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Comparison of DNN architectures for determined BSS by proximal average of IVA and DNN Kazuki Matsumoto (Waseda Univ.), Koki Yamada, Kohei Yatabe (TUAT) EA2023-88 SIP2023-135 SP2023-70 |
We have proposed a framework called PA-BSS for high-performance separation matrix estimation using deep denoisers based ... [more] |
EA2023-88 SIP2023-135 SP2023-70 pp.162-167 |
CS |
2023-11-09 10:55 |
Shizuoka |
Plaza Verde |
Deep Joint Source-Channel Coding using Overlap Image Division for Block Noise Reduction Ryunosuke Yamamoto, Yoshiaki Inoue, Daisuke Hisano (Osaka Univ.) CS2023-65 |
Deep Joint Source-Channel Coding (Deep JSCC), which uses deep learning to perform source and channel coding simultaneous... [more] |
CS2023-65 pp.16-18 |
SR |
2023-11-10 11:10 |
Miyagi |
(Primary: On-site, Secondary: Online) |
[Short Paper]
Model Sharing and Learning for Visually Secure Deep Joint Source Channel Coding Yuyang Fu, Katsuya Suto (UEC) SR2023-59 |
Research and development of Deep Joint Source Channel Coding (DeepJSCC) technology, which is a data-driven design of inf... [more] |
SR2023-59 pp.64-66 |
MIKA (3rd) |
2023-10-11 14:30 |
Okinawa |
Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Performance Evaluation of MIMO Transmission in Information Source Communication Channel Batch Coded Modulation Based on Deep Learning Shion Inokuma, Yuki Sasaki (Tokyo Univ. of Science), Daisuke Hisano (Osaka Univ.), Yu Nakayama (TUAT), Kazuki Maruta (Tokyo Univ. of Science) |
We present the results of a fundamental investigation of deep learning-based Joint Source-Channel Coding and Modulation ... [more] |
|
IT |
2023-08-03 13:25 |
Kanagawa |
Shonan Institute of Technology (Primary: On-site, Secondary: Online) |
Polarization Analysis for Joint Source-Channel Coding with Side Information Yuki Nagai, Hideki Yagi (UEC) IT2023-15 |
The polar codes, introduced by Arıkan, use a technique called channel polarization and can achieve the capacity of a giv... [more] |
IT2023-15 pp.7-12 |
IT |
2023-08-03 14:30 |
Kanagawa |
Shonan Institute of Technology (Primary: On-site, Secondary: Online) |
An Asymmetric Encoding-Decoding Scheme for Lossless Data Compression Hirosuke Yamamoto (Univ. of Tokyo), Ken-ichi Iwata (Univ. of Fukui) IT2023-17 |
ANS (Asymmetric Numeral Systems) are new lossless data-compression-coding systems that can achieve almost the same compr... [more] |
IT2023-17 pp.17-22 |
MSS, CAS, SIP, VLD |
2023-07-06 17:00 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
[Invited Talk]
Introduction of NanoVNA
-- Open Source Handheld Verctor Network Analyzer -- Tomohiro Takahashi (CM) CAS2023-14 VLD2023-14 SIP2023-30 MSS2023-14 |
This talk shows an overview of NanoVNA, an ultra-compact vector network analyzer. I developed NanoVNA and pushed the res... [more] |
CAS2023-14 VLD2023-14 SIP2023-30 MSS2023-14 p.71 |
SANE |
2023-05-23 15:40 |
Kanagawa |
Information Technology R & D Center, MITSUBISHI Electric Corp. (Primary: On-site, Secondary: Online) |
Radar Cross-Section of Point Source Groups Envisaging Chaff Clouds Using Near-Field to Far-Field Transformation Hirokazu Kobayashi (Electromagnetic Wave System Lab.), Yousuke Aoi, Hirohisa Oda (SOGO) SANE2023-13 |
A theoretical study for the radar cross sections (RCS) of chaff clouds is discussed using a software code that incorpora... [more] |
SANE2023-13 pp.72-77 |
SR |
2023-05-11 15:10 |
Hokkaido |
Center of lifelong learning Kiran (Higashi Muroran) (Primary: On-site, Secondary: Online) |
[Short Paper]
Continuous Compressible Deep Joint Source Channel Coding Junichiro Yamada, Katsuya Suto (UEC) SR2023-11 |
Deep Joint Source Channel Coding (DeepJSCC), which designs a source and channel coding model with deep neural networks a... [more] |
SR2023-11 pp.58-60 |
SS |
2023-03-14 18:25 |
Okinawa |
(Primary: On-site, Secondary: Online) |
A feature analysis of merged change requests on a version Mizuki Uenaka, Akinori Ihara (Wakayama Univ.), Yutaro Kashiwa (NAIST) SS2022-60 |
Large software development projects have a large number of the source code change requests on a daily basis. Developers ... [more] |
SS2022-60 pp.79-84 |
SS |
2023-03-15 15:15 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Attempt to generate source code using previous token type information Shun Tanaka, Yamamoto Tetsuo (Ryukoku Univ.) SS2022-70 |
In this study, we improve the BeamSearch algorithm used in the machine Learning model. We add an process to the token se... [more] |
SS2022-70 pp.139-144 |
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 13:50 |
Yamaguchi |
(Primary: On-site, Secondary: Online) |
A Construction Method of Alphabetic Codes Allowing N-bit Decoding Delays Daichi Ueda, Ken-ichi Iwata (Univ. of Fukui), Hirosuke Yamamoto (The Univ. of Tokyo) IT2022-102 ISEC2022-81 WBS2022-99 RCC2022-99 |
As an extension of the AIFV and AIFV-m codes that allow decoding delay, Sugiura, Kamamoto, and Moriya proposed the N-bit... [more] |
IT2022-102 ISEC2022-81 WBS2022-99 RCC2022-99 pp.218-223 |
RCC, ISEC, IT, WBS |
2023-03-14 14:15 |
Yamaguchi |
(Primary: On-site, Secondary: Online) |
Construction of Grammar-Based Codes Using the LZ78 Code and Its Variants Mitsuharu Arimura (Shonan Inst. Tech.) IT2022-103 ISEC2022-82 WBS2022-100 RCC2022-100 |
It is shown by Kieffer and Yang that Lempel-Ziv78 (LZ78) method can be implemented as a variation of grammar-based code.... [more] |
IT2022-103 ISEC2022-82 WBS2022-100 RCC2022-100 pp.224-229 |
NC, NLP |
2023-01-29 15:05 |
Hokkaido |
Future University Hakodate (Primary: On-site, Secondary: Online) |
Predictions and Attentions Acquired by Vision Transformer with Source-Target Attention from Dilated Convolutions on Small Data Sets Tatsuki Shimura, Katsumi Tadamura, Toshikazu Samura (Yamaguchi Univ) NLP2022-104 NC2022-88 |
Vision Transformer (ViT) requires large data sets during pre-training phase to acquire high classification accuracy on a... [more] |
NLP2022-104 NC2022-88 pp.123-128 |
IT, RCS, SIP |
2023-01-24 10:25 |
Gunma |
Maebashi Terrsa (Primary: On-site, Secondary: Online) |
An improved context tree switching method by dynamic expansion and pruning of context tree Masaya Ootsu, Hideki Yagi (UEC) IT2022-36 SIP2022-87 RCS2022-215 |
The Context Tree Weighting (CTW) method is a sequential lossless universal coding algorithm for tree sources with good p... [more] |
IT2022-36 SIP2022-87 RCS2022-215 pp.42-47 |
IT, RCS, SIP |
2023-01-24 10:50 |
Gunma |
Maebashi Terrsa (Primary: On-site, Secondary: Online) |
Lower Bound on Maximum Redundancy of Predictive Source Coding for Context Tree Source Shota Saito (Gunma Univ.) IT2022-37 SIP2022-88 RCS2022-216 |
In [Krichevskiy, IEEE Trans. Inf. Theory, vol.44, no.1, pp.296--303, 1998], a lower bound of the maximum redundancy of a... [more] |
IT2022-37 SIP2022-88 RCS2022-216 pp.48-50 |