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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NS, PN, OCS (Joint) |
2024-06-06 10:50 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Experimental Demonstration of Adaptive Symbol Decision to Mitigate Transmitter Impairments Taisei Sekizuka, Takuma Kuno, Reiji Higuchi, Takuro Ochiai, Yojiro Mori, Hiroshi Hasegawa (Nagoya Univ) |
(To be available after the conference date) [more] | |
| RCS, SR, SRW (Joint) |
2024-03-13 16:15 |
Tokyo | The University of Tokyo (Hongo Campus), and online (Primary: On-site, Secondary: Online) |
DOA Estimation Improvement Through Angle-Range-Reduced DNNs Specialized in Narrow DOA Range Daniel Akira Ando, Toshihiko Nishimura, Takanori Sato, Takeo Ohgane, Yasutaka Ogawa (Hokkaido Univ.), Junichiro Hagiwara (Mukogawa Women's Univ.)  RCS2023-266 |
In this work, we propose a strategy based on deep neural networks (DNNs) intended to support our past DNN method for dir... [more] | RCS2023-266 pp.71-76 |
| EMM | 2024-03-02 16:20 |
Overseas | Day1:JEJU TECHNOPARK, Day2:JEJU Business Agency | [Fellow Memorial Lecture]
Application of associative memory models to watermarking models Masaki Kawamura (Yamaguchi Univ.) EMM2023-93 |
We proposed a new method called the associative watermarking method, which is an extension of the zero-watermarking meth... [more] | EMM2023-93 pp.23-27 |
| SCE | 2024-01-23 13:35 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
[Invited Talk]
Research on Novel Binary Neural Processing Elements Using Single Flux Quantum Circuits Zeyu Han, Zongyuan Li, Yamanashi Yuki, Yoshikawa Nobuyuki (Yokohama National Univ.) SCE2023-23 |
Superconducting convolutional neural networks, based on single flux quantum (SFQ) circuits, hold significant potential d... [more] | SCE2023-23 pp.1-6 |
| QIT (2nd) |
2023-12-17 17:30 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Data-distributed machine-learning method for neural networks using quantum annealing Kosuke Nakanishi (Kyoto Univ.) |
A method for learning neural networks using quantum annealing (CQNN) has been proposed in previous research. This method... [more] | |
| SCE | 2023-10-31 10:00 |
Miyagi | RIEC, Tohoku Univ. (Primary: On-site, Secondary: Online) |
Design of a Modularized Circuits Library for Binary Convolutional Neural Network Accelerator using Single Flux Quantum Circuits Zeyu Han, Zongyuan Li, Yuki Yamanashi, Nobuyuki Yoshikawa (Yokohama National Univ.) SCE2023-17 |
To implement a binary neural network (BNN) based on SFQ circuits, we designed a modularized circuits library based on th... [more] | SCE2023-17 pp.26-31 |
| NC, MBE (Joint) |
2023-10-27 14:45 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Adaptive motion generation for a redundant robot arm using an echo state network Hiroshi Atsuta, Yuji Kawai (Osaka Univ.), Minoru Asada (IPUT/Osaka Univ./Chubu Univ./NICT) NC2023-28 |
Teaching playback is a convenient method to instruct robots how to move. However, this method has an issue of excessive ... [more] | NC2023-28 pp.17-22 |
| NC, MBE (Joint) |
2023-10-28 10:45 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
A design of ultra-low power reservoir computing system with analog CMOS spiking neural network circuits Satoshi Ono, Satoshi Moriya, Hideaki Yamamoto (Tohoku Univ.), Yasushi Yuminaka (Gunma Univ.), Yoshihiko Horio, Shigeo Sato (Tohoku Univ.) NC2023-29 |
Spiking neural network (SNN) is expected to be applied to edge computing due to its low power consumption when implement... [more] | NC2023-29 p.23 |
| RCS, SAT (Joint) |
2023-08-31 10:30 |
Nagano | Naganoken Nokyo Building, and online (Primary: On-site, Secondary: Online) |
Enhancing CSI Feedback in FDD Massive MIMO Systems using Dropout-based Deep Neural Network Junjie Gao, Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.), Guan Gui (NJUPT) RCS2023-101 |
Accessing precise downlink channel state information (CSI) is crucial in maximizing the benefits of frequency division ... [more] |
RCS2023-101 pp.1-4 |
| SDM, ICD, ITE-IST [detail] | 2023-08-02 09:45 |
Hokkaido | Hokkaido Univ. Multimedia Education Bldg. 3F (Primary: On-site, Secondary: Online) |
A 1W/8R 20T SRAM Codebook for Deep Learning Processors to Reduce Main Memory Bandwidth Ryotaro Ohara, Masaya Kabuto, Masakazu Taichi, Atsushi Fukunaga, Yuto Yasuda, Riku Hamabe, Shintaro Izumi, Hiroshi Kawaguchi (Kobe Univ) SDM2023-44 ICD2023-23 |
We present a 1W8R 20T multi-port memory for codebook quantisation in deep learning processors, manufactured in a 40 nm p... [more] | SDM2023-44 ICD2023-23 pp.41-44 |
| PN, NS, OCS (Joint) |
2023-06-09 14:40 |
Kagawa | (Primary: On-site, Secondary: Online) |
RNN-based Demodulation Framework for Mitigating Spectrum Narrowing Ryuta Shiraki (Kyoto Univ.), Yojiro Mori, Hiroshi Hasegawa (Nagoya Univ.) PN2023-15 |
The use of ultra-dense WDM systems is expected to offer higher spectral efficiency. However, such systems are hindered b... [more] | PN2023-15 pp.65-71 |
| RCS | 2023-04-13 11:30 |
Shimane | Matsue New Urban Hotel, and online (Primary: On-site, Secondary: Online) |
Neural Network based Dynamic Area Optimization Algorithm for HAPS Mobile Communication Systems Wataru Takabatake, Yohei Shibata, Kenji Hoshino, Atsushi Nagate (SB) RCS2023-4 |
HAPS(High-Altitude Platform Station) attracts attention as a new communication platform which provides wide area communi... [more] | RCS2023-4 pp.19-24 |
| ICD | 2023-04-11 09:30 |
Kanagawa | (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Development of A Variation-Tolerant Processing-In-Memory Architecture Using Discharging Current Calibration Daiki Kitagata, Shinji Tanaka, Naoya Fujita, Naoaki Irie (REL) ICD2023-8 |
Processing-in-memory (PIM) has recently been expected to be a key technology for endpoint intelligence since it can dram... [more] | ICD2023-8 p.16 |
| NLP, MSS | 2023-03-17 15:25 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Chaotic Response of Hardware Small World Neural Network with STDP Takuto Yamaguchi, Katsutoshi Saeki, Yoshiki Sasaki (Nihon Univ.) MSS2022-106 NLP2022-151 |
The role of chaotic activity in the brain function is still unclarified. However, it is possible to estimate the role by... [more] | MSS2022-106 NLP2022-151 pp.210-213 |
| RCS, SR, SRW (Joint) |
2023-03-01 10:25 |
Tokyo | Tokyo Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
A Novel DNN-based CSI Feedback with Quantization for FDD Massive MIMO Systems Junjie Gao, Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.), Gui Guan (NJUPT) RCS2022-252 |
Accessing the accurate downlink channel state information (CSI) is essential to take full advantage of frequency divis... [more] |
RCS2022-252 pp.31-35 |
| CAS, CS | 2023-03-01 11:45 |
Fukuoka | Kitakyushu International Conference Center (Primary: On-site, Secondary: Online) |
Demodulation from Meta-Learning with Few Pilot Symbols in Massive Sensor Networks Kuniyasu Yamamoto, Tomotaka Kimura, Jun Chen (Doshisha Univ.) CAS2022-101 CS2022-78 |
Demodulation from meta-learning with few pilot symbols in massive sensor networks is proposed. In the massive sensor net... [more] | CAS2022-101 CS2022-78 pp.29-34 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-21 13:00 |
Hokkaido | Hokkaido Univ. | Fast designing method of additional patterns in self-referential holographic data storage
-- Approach using deep neural network -- Kazuki Chijiwa, Masanori Takabayashi (Kyushu Inst. of Tech.) |
In self-referential holographic data storage (SR-HDS) known as a purely one-beam holographic recording method, it has be... [more] | |
| 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 |
| QIT (2nd) |
2022-12-08 14:00 |
Kanagawa | Keio Univ. (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Effect of entanglement on the trainability of over-parametrized quantum circuits Wolfgang Glaeser, Naoki Yamamoto (Keio Univ.) |
In this work, the effect of entanglement on the performance and trainability of parametrized quantum circuits (PQC) was ... [more] | |
| EMT, IEE-EMT | 2022-11-18 13:25 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
[Invited Lecture]
On Electromagnetic Field Simulation Using Physics-Informed Deep Learning Kazuhiro Fujita (Saitama IT) EMT2022-59 |
Physical laws appeared in the fields of physics and engineering can be described by partial differential equations in ma... [more] | EMT2022-59 pp.85-88 |
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