Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] |
2024-06-20 16:30 |
Okinawa |
OIST |
Performance Evaluation of Quantized MLP-Mixer Ryo Kumagai, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.) NC2024-11 IBISML2024-11 |
(To be available after the conference date) [more] |
NC2024-11 IBISML2024-11 pp.73-78 |
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) PN2024-7 |
Quadrature amplitude modulation / coherent detection systems are being considered for use in datacenters. However, the e... [more] |
PN2024-7 pp.6-9 |
IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-15 15:50 |
Okinawa |
Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Towarods Similarity-Preserving Post-Training Quantization for Lightweight Maize Disease Detection Carlos Victorino Padeiro, Tse-Wei Chen, Takahiro Komamizu, Ichiro IDE (Nagoya University) IMQ2023-90 IE2023-145 MVE2023-119 |
The traditional crop disease diagnosis process, relying on expert visual observation, is costly, time-consuming, and pro... [more] |
IMQ2023-90 IE2023-145 MVE2023-119 pp.414-419 |
VLD, HWS, ICD |
2024-03-01 10:10 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Fault Detectable Convolutional Neural Network Circuits With Dual Modular Redundancy Based on Mixed-precision Quantization Yamato Saikawa, Yuta Owada, Yoichi Tomioka, Hiroshi Saito, Yukihide Kohira (UoA) VLD2023-122 HWS2023-82 ICD2023-111 |
In safety-critical edge AI systems, circuit failures caused by aging or cosmic ray can lead to serious accidents. Dual M... [more] |
VLD2023-122 HWS2023-82 ICD2023-111 pp.119-124 |
VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] |
2023-11-16 14:10 |
Kumamoto |
Civic Auditorium Sears Home Yume Hall (Primary: On-site, Secondary: Online) |
Implementation of Neural Networks in Memory-based Reconfigurable Processor Kenta Sasagawa, Tatsuya Nishikawa, Xihong Zhou, Senling Wang, Hiroshi Kai, Hiroshi Takahashi (Ehime Univ.) VLD2023-51 ICD2023-59 DC2023-58 RECONF2023-54 |
With the development of recent IoT technologies,there is a demand to implement intelligent processing in devices where d... [more] |
VLD2023-51 ICD2023-59 DC2023-58 RECONF2023-54 pp.112-116 |
VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] |
2023-11-17 14:50 |
Kumamoto |
Civic Auditorium Sears Home Yume Hall (Primary: On-site, Secondary: Online) |
Hardware Compression Method Applying Bernoulli Approximation for Bayesian Neural Networks Taisei Saito, Kota Ando, Tetsuya Asai (Hokkaido Univ.) VLD2023-73 ICD2023-81 DC2023-80 RECONF2023-76 |
This study focuses on efficiently lightweighting Bayesian deep learning algorithms and implementing them on FPGA. It com... [more] |
VLD2023-73 ICD2023-81 DC2023-80 RECONF2023-76 pp.221-226 |
RISING (3rd) |
2023-10-31 14:00 |
Hokkaido |
Kaderu 2・7 (Sapporo) |
[Poster Presentation]
Digital Signal Processing Based on Neural Networks
-- The Key Technology for Realizing High-capacity Optical Fiber Communication Systems -- Takuro Ochiai, Reiji Higuchi, Takuma Kuno (Nagoya Univ.), Ryuta Shiraki (Kyoto Univ.), Yojiro Mori, Hiroshi Hasegawa (Nagoya Univ.) |
To fulfil the ever-increasing traffic demands, the introduction of quadrature amplitude modulation and coherent detectio... [more] |
|
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 |
PN |
2023-08-29 10:05 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
Optical fiber long-distance multi-repeater transmission experiment of phase-shifted symbol-preserving encrypted polarization-multiplexed QAM signals Reika Suketomo, Yuika Mori, Hodaka Amano, Keiji Shimada (Kagawa Univ.), Ryosuke Matsumoto (AIST), Takahiro Kodama (Kagawa Univ.) PN2023-16 |
We have demonstrated that phase-shifted symbol-preserving encryption does not cause excessive degradation in 7 ch WDM 32... [more] |
PN2023-16 pp.1-5 |
EE, IEE-SPC |
2023-07-21 11:35 |
Hyogo |
(Primary: On-site, Secondary: Online) |
A Study on Power Packet Density Modulation Considering Bi-directional Power Transmission Kento Hiwatashi, Shiu Mochiyama, Takashi Hikihara (Kyoto Univ.) EE2023-16 |
Power packetization has been proposed as a power transmission method for autonomous mobile systems that are disconnected... [more] |
EE2023-16 pp.84-89 |
SeMI, RCS, RCC, NS, SR (Joint) |
2023-07-14 14:00 |
Osaka |
Osaka University Nakanoshima Center + Online (Primary: On-site, Secondary: Online) |
FPGA implementation of ML-compensation for SVD-MIMO weight matrices Kiminobu Makino, Takayuki Nakagawa (NHK) RCS2023-99 |
This paper proposes a computation reduction method of machine learning-based compensation of transmission (Tx) weight ma... [more] |
RCS2023-99 pp.103-108 |
RCS |
2023-06-14 10:30 |
Hokkaido |
Hokkaido University, and online (Primary: On-site, Secondary: Online) |
Scalable Network-Assisted Full-Duplex Cell-Free Massive MIMO Systems with Limited Fronthaul Capacity Koushi Okui (UEC), Kengo Ando (CU), Koji Ishibashi (UEC) RCS2023-33 |
This paper proposes a scalable network-assisted full-duplex (NAFD) cell-free massive MIMO (CF-mMIMO) system that achieve... [more] |
RCS2023-33 pp.31-36 |
RCS |
2023-06-16 10:40 |
Hokkaido |
Hokkaido University, and online (Primary: On-site, Secondary: Online) |
Key Reconciliation in a Wireless Physical Layer Secret Key Agreement Using Adaptive Quantization Codewords Seiju Yoshida, Hideichi Sasaoka, Hisato Iwai, Shinsuke Ibi (Doshisha) RCS2023-70 |
In wireless physical layer secret key agreement, key reconciliation methods and their efficiency improvement are importa... [more] |
RCS2023-70 pp.247-252 |
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 |
MWPTHz, PN, EMT, IEE-EMT [detail] |
2023-01-24 10:05 |
Osaka |
(Primary: On-site, Secondary: Online) |
Digital Coherent Receiver with Quantization Noise Mitigation Function Takuro Ochiai, Ryuta Shiraki, Yojiro Mori, Hiroshi Hasegawa (Nagoya Univ.) PN2022-37 EMT2022-75 MWPTHz2022-63 |
To fulfil the ever-increasing traffic demands, the introduction of quadrature amplitude modulation (QAM) / coherent dete... [more] |
PN2022-37 EMT2022-75 MWPTHz2022-63 pp.35-38 |
EE |
2023-01-19 15:40 |
Fukuoka |
Kyushu Institute of Technology (Primary: On-site, Secondary: Online) |
A Study on Model Predictive Control DC-DC Converter Using Dynamic Quantization Kohei Yamamoto, Hidenori Maruta (Nagasaki Univ.) EE2022-39 |
Model predictive control of DC-DC converters is a control method that requires a large amount of computation for predict... [more] |
EE2022-39 pp.72-77 |
VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] |
2022-11-30 09:55 |
Kumamoto |
(Primary: On-site, Secondary: Online) |
Design of Digital Phase-Locked Loop Circuit based on 3rd-Order MASH ΔΣ FDC for Low In-Band Phase Noise Ryoga Iwashita, Zule Xu, Masaru Osada, Ryoya Shibata, Yo Kumano, Tetsuya Iizuka (UTokyo) VLD2022-43 ICD2022-60 DC2022-59 RECONF2022-66 |
$DeltaSigma$ frequency-to-digital converter based phase locked loops (FDC-PLLs) can reduce its quantization noise at low... [more] |
VLD2022-43 ICD2022-60 DC2022-59 RECONF2022-66 pp.138-143 |
AP |
2022-10-19 12:20 |
Gifu |
GIFU CITY CULTURE CENTER (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Study on key reconciliation for secret key agreement based on radio propagation characteristic Seiju Yoshida, Hideichi Sasaoka, Hisato Iwai, Shinsuke Ibi (Doshisha Univ.) AP2022-130 |
One of the secret key agreement based on radio propagation characteristics is to generate a quantized codeword by quanti... [more] |
AP2022-130 pp.154-155 |
MIKA (3rd) |
2022-10-13 11:10 |
Niigata |
Niigata Citizens Plaza (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Autoencoder-based Signal Quantizer for Fronthaul Capacity Reduction Shinnosuke Yagi, Daisuke Hisano (Osaka Univ.) |
A mobile base station (MBS) in Beyond 5G/6G era requires larger capacity, lower latency, and more expanding coverage tha... [more] |
|
MIKA (3rd) |
2022-10-14 10:40 |
Niigata |
Niigata Citizens Plaza (Primary: On-site, Secondary: Online) |
[Poster Presentation]
A New CSI Feedback with Quantization Based on Adaptive DNN for FDD Massive MIMO Systems Junjie Gao, Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.), Guan Gui (NJUPT) |
Accessing the accurate downlink channel state information (CSI) is essential to take full advantage of frequency divisio... [more] |
|