| 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 # | |
| RCS | 2023-06-16 10:30 |
Hokkaido | Hokkaido University, and online (Primary: On-site, Secondary: Online) |
A Study on Neural Network-Aided Fine Tuning for Indoor Positioning based on BLE Angle of Arrival Ginji Ohashi, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.)  RCS2023-69 |
With the addition of the direction-finding capability to BLE in 2019, the angle of arrival (AoA) of a signal can be easi... [more] | RCS2023-69 pp.241-246 |
| EMCJ, IEE-EMC, IEE-SPC | 2023-05-12 13:15 |
Okinawa | (Primary: On-site, Secondary: Online) |
Evaluating Transmission Efficiency Impact on Screen Reconstruction Accuracy for High-Resolution Displays Taiki Kitazawa, Yuichi Hayashi (NAIST) EMCJ2023-6 |
In TEMPEST attacks targeting high-resolution displays with divided screens, reconstructing screen information proves dif... [more] | EMCJ2023-6 pp.1-6 |
| NLP, MSS | 2023-03-17 16:05 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Lightweighting Noisy Student Semi-Supervised Learning by Applying MobileNet Yuga Morishima, Hidehiro Nakano (Tokyo City Univ.) MSS2022-108 NLP2022-153 |
Recently, Convolutional Neural Networks (CNNs) have attracted much attention in various fields such as image classificat... [more] | MSS2022-108 NLP2022-153 pp.220-224 |
| MI | 2023-03-06 09:44 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Machine learning models using CT images and clinical variable to classify tumors in testicular cancer Shota Nakagawa, Masanobu Gido (University of Tsukuba), Satoshi Nitta (University of Tsukuba Hospital), Takahiro Kojima (Aichi Cancer Center Hospital), Hideki Kakeya (University of Tsukuba) MI2022-75 |
This paper presents machine learning methods to classify tumors in testicular cancer. The model combines CT images and c... [more] | MI2022-75 pp.8-13 |
| MI | 2023-03-06 13:15 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Improvement of Small Organ Accuracy in Multi-Organ Segmentation of Abdominal CT Images Using 2.5D Deformable Convolutional CNN Yuya Okumura, Hiroyuki Kudo, Hotaka Takizawa (Univ of Tsukuba) MI2022-80 |
In multi-organ segmentation of abdominal CT images using deep learning, small organs such as the pancreas are difficult ... [more] | MI2022-80 pp.38-39 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-02 11:25 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Binarization of Vision Transformer with Scaling Factors Shun Sato, Shun Sawada, Hidefumi Ohmura, Kouichi katsurada (TUS) PRMU2022-83 IBISML2022-90 |
1bit neural network optimization is an optimization technique that achieves a significant increase in computational spee... [more] | PRMU2022-83 IBISML2022-90 pp.134-139 |
| RCS, SR, SRW (Joint) |
2023-03-03 09:30 |
Tokyo | Tokyo Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
[Short Paper]
Performance Evaluation on Split Learning Assisted Multi-UAV System for Image Classification Task Sun Tingkai, Wang Xiaoyan (Ibaraki Univ.), Masahiro Umehira (Nanzan Univ.) SR2022-93 |
Due to its ease of deployment and high mobility, unmanned aerial vehicles (UAVs) have gained popularity for a variety of... [more] | SR2022-93 pp.44-46 |
| CNR, BioX | 2023-03-02 11:30 |
Oita | (Primary: On-site, Secondary: Online) |
A Study on Single Modal Ear Acoustic Personal Authentication System Sora Takagi (Kansai Univ.), Shunsuke Kita (ORIST), Yoshinobu Kajikawa (Kansai Univ.) BioX2022-73 CNR2022-39 |
Biometric authentication requires the provision of the user's personal biometric information.Currently, the mainstream b... [more] | BioX2022-73 CNR2022-39 pp.65-68 |
| US | 2023-02-28 16:35 |
Osaka | Kindai University (Higashi-osaka) | CNN classification of parametric images using moments of ultrasound images for quantitative diagnosis of liver fibrosis Akiho Isshiki (Chiba Univ.), Dar-In Tai (CGMH), Po-Hsiang Tsui (Chang Gung Univ.), Kenji Yoshida, Tadashi Yamaguchi, Shinnosuke Hirata (Chiba Univ.) US2022-82 |
The progression of diffuse liver disease and the therapeutic effect can be evaluated by the estimation of liver fibrosis... [more] | US2022-82 pp.34-39 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-22 14:00 |
Hokkaido | Hokkaido Univ. | Hierarchical Minimum-Sized Object Detection Method using Clustering Algorithm for UAV Autonomous Flight Yusei Horikawa, Makoto Sugaya, Tetsuya Matsumura (Nihon Univ) |
This paper describes an efficient minimum-sized object detection method in high-Resolution images for UAV autonomous fli... [more] | |
| IE | 2023-02-02 13:30 |
Tokyo | NII (Primary: On-site, Secondary: Online) |
Recognition Based on Imperfect Information Using Deep Learning Model
-- Estimating the Number of Blocks Included in Three-Dimensional Structure -- Takuto Nakazawa, Shigeru Kubota (Yamagata Univ.) IE2022-51 |
Even though the visual information obtained is imperfect, we can estimate a correct answer by using a knowledge that we ... [more] | IE2022-51 pp.1-5 |
| ICTSSL, CAS | 2023-01-26 11:15 |
Tokyo | TBD (Primary: On-site, Secondary: Online) |
On Image Recognition Neural Networks and Polynomial Approximation of Images Jiahang Chang, Kazuya Ozawa, Hideaki Okazaki (SIT) CAS2022-66 ICTSSL2022-30 |
In this report, we present a convolutional neural network that we have built ourselves for our research. Then, we discus... [more] | CAS2022-66 ICTSSL2022-30 pp.23-27 |
| EST | 2023-01-27 09:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
Traffic volume survey system installed on utility poles using piezo sensor
-- Vehicle Passage Detection Technology -- Keisuke Kako, Akihiro Tsuno, Ichiru Miyahashi, Hideaki Kimura (Chubu Univ.) EST2022-89 |
Conventionally, traffic volume surveys conducted by the Ministry of Land, Infrastructure, Transport and Tourism (MLIT) a... [more] | EST2022-89 pp.78-83 |
| KBSE | 2023-01-20 13:00 |
Ishikawa | (Primary: On-site, Secondary: Online) |
A study for using deep learning inference results of program defects in code review checklists Kazuhiko Ogawa, Takako Nakatani (OUJ) KBSE2022-51 |
In system development, various efforts are made to improve the quality of programs. One of these efforts is code review... [more] |
KBSE2022-51 pp.46-51 |
| IBISML | 2022-12-23 11:10 |
Kyoto | Kyoto University (Primary: On-site, Secondary: Online) |
Enhancement of Audio Signals Using Learning from Positive and Unlabelled Data Nobutaka Ito, Masashi Sugiyama (UTokyo) IBISML2022-56 |
Audio signal enhancement (SE) is the task of extracting a desired class of sounds (a “signal”) from an observed sound mi... [more] | IBISML2022-56 pp.94-100 |
| HCGSYMPO (2nd) |
2022-12-14 - 2022-12-16 |
Kagawa | Onsite (Sunport Takamatsu) and Online (Primary: On-site, Secondary: Online) |
Analyzing and Recognizing Synergetic Functions between Head Movements and Facial Expressions in Conversations Mai Imamura, Kazuki Takeda (YNU), Shiro Kumano (NTT), Kazuhiro Otsuka (YNU) |
In this paper, we propose machine-learning models for recognizing the synergetic functions between facial expressions an... [more] | |
| NS, ICM, CQ, NV (Joint) |
2022-11-24 10:45 |
Fukuoka | Humanities and Social Sciences Center, Fukuoka Univ. + Online (Primary: On-site, Secondary: Online) |
Study on Training Data Generation for Estimating Spatial Loss Fields Yoshiaki Nishikawa (NEC), Takahiro Matsuda (TMU), Eiji Takahashi, Takeo Onishi, Toshiki Takeuchi (NEC) CQ2022-47 |
Spatial Loss Fields (SLFs) are maps quantifying the attenuation of radio signals in a monitored region. SLFs, which are ... [more] | CQ2022-47 pp.1-6 |
| DC, SS | 2022-10-25 14:15 |
Fukushima | (Primary: On-site, Secondary: Online) |
Relationship between the Defects in Learning Programs and the Model Distortion on the Convolutional Neural Networks Takumi Tsuchiya, Kozo Okano, Shinpei Ogata (Shinshu Univ.), Shin Nakajima (NII) SS2022-26 DC2022-32 |
In recent years, the quality issue of machine learning software has become an important concern. When considering the qu... [more] | SS2022-26 DC2022-32 pp.23-28 |
| PRMU | 2022-10-21 15:25 |
Tokyo | Miraikan - The National Museum of Emerging Science and Innovation (Primary: On-site, Secondary: Online) |
Features and Deep Learning Models Suitable for Speech Source Discrimination Method in Plural Voice User Interfaces Environment Kengo Maeda, Takahiro Yoshida (TUS) PRMU2022-27 |
Under the situation that plural devices equipped with a voice user interface exist in the user’s environment in the near... [more] | PRMU2022-27 pp.29-34 |
| EMCJ, MW, EST, IEE-EMC [detail] | 2022-10-13 09:05 |
Akita | Akita University (Primary: On-site, Secondary: Online) |
An estimation of magnetic coupling coefficient between parallel two MSLs using machine leaning of near field information Yusuke Sato, Sho Muroga, Hidefumi Kamozawa, Motoshi Tanaka (Akita Univ.) EMCJ2022-35 MW2022-81 EST2022-45 |
An estimation method of the magnetic coupling coefficient between printed-circuit-board-level lines using a near field i... [more] | EMCJ2022-35 MW2022-81 EST2022-45 pp.1-5 |
[Return to Top Page]