| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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, 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 |
| 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) |
2022-10-14 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] | |
| CQ, ICM, NS, NV (Joint) |
2021-11-25 11:05 |
Fukuoka | JR Hakata Stn. Hakata EkiHigashi Rental Room (Primary: On-site, Secondary: Online) |
[Encouragement Talk]
Overhead Reduction for High-Quality Graph-Based Point Cloud Delivery Soushi Ueno, Takuya Fujihashi (Osaka Univ.), Toshiaki Koike-Akino (MERL), Takashi Watanabe (Osaka Univ.) NS2021-85 |
The point cloud expresses three-dimensional (3D) information by using many points on 3D space. It is important to be abl... [more] | NS2021-85 pp.7-12 |
| BioX, ISEC, SITE, ICSS, EMM, HWS, IPSJ-CSEC, IPSJ-SPT [detail] | 2021-07-19 16:55 |
Online | Online | Evaluation on Biometric Template Protection System Based on Somewhat Homomorphic Encryption Hiroto Tamiya, Toshiyuki Isshiki, Kengo Mori (NEC), Satoshi Obana (Hosei Univ.), Tetsushi Ohki (Shizuoka Univ.) ISEC2021-21 SITE2021-15 BioX2021-22 HWS2021-21 ICSS2021-26 EMM2021-26 |
Many biometric template protection systems have been proposed to perform biometric authentication while keeping the biom... [more] | ISEC2021-21 SITE2021-15 BioX2021-22 HWS2021-21 ICSS2021-26 EMM2021-26 pp.68-73 |
| PN, NS, OCS (Joint) |
2021-06-25 10:45 |
Online | Online | Overhead Reduction for Point Cloud Wireless Delivery using Graph Signal Processing Soushi Ueno, Takuya Fujihashi (Osaka Univ.), Toshiaki Koike-Akino (MERL), Takashi Watanabe (Osaka Univ.) NS2021-29 |
Graph-based compression can compact the signal energy of three-dimensional (3D) point cloud and realize high quality 3D ... [more] | NS2021-29 pp.21-26 |
| RCS | 2021-06-25 10:20 |
Online | Online | A Study on Deep Unfolding-Aided Quantized AMP for High-Dimensional Signal Detection Atsunori Shimamura, Takumi Takahashi (Osaka Univ), Shinsuke Ibi (Doshisha Univ), Seiichi Sampei (Osaka Univ) RCS2021-68 |
We consider a look-up table (LUT)-based multi-user detection (MUD) via quantized approximate message passing (AMP) in la... [more] | RCS2021-68 pp.226-231 |
| NLP, CCS | 2021-06-11 11:50 |
Online | Online | A Study on Image Compression Method based on Color Quantization Method by Sigma-Delta Cellular Neural Network Fumitoshi Nakashima, Yuka Ito, Ai Mizuno (Chukyo Univ.), Ryohei Mizutani (YAMAZAKI MAZAK), Misa Fujita (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ), Hisashi Aomori (Chukyo Univ.) NLP2021-5 CCS2021-5 |
In recent years, Web services have become common and their use has been widespread. The PNG image format is basically u... [more] |
NLP2021-5 CCS2021-5 pp.20-23 |
[Return to Top Page]