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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IT | 2024-08-07 09:50 |
Okayama | Okayama University, Tsushima campus (Primary: On-site, Secondary: Online) |
LDM-IST: Deep Unfolded Distributed Recovery Algorithm for Multiple Measurement Vector Problem Lantian Wei, Tadashi Wadayama (NITech), Kazunori Hayashi (Kyoto Univ.) |
[more] | |
| KBSE, SS, IPSJ-SE [detail] | 2024-07-25 14:00 |
Hokkaido | (Primary: On-site, Secondary: Online) |
Privacy protection of training datasets in CNN transfer learning models Takumi Katsuie, Kozo Okano, Shinpei Ogata (Shinshu Univ.), Shin Nakajima (NII)  SS2024-1 KBSE2024-7 |
Transfer learning, one of the machine learning methods, has attracted attention as a technique that can create highly ac... [more] | SS2024-1 KBSE2024-7 pp.1-6 |
| EMM, BioX, ISEC, SITE, ICSS, HWS, IPSJ-CSEC, IPSJ-SPT [detail] | 2024-07-23 09:15 |
Hokkaido | Sapporo Convention Center | Evaluation of Accuracy and Security on Deep Learning Model by Utilizing K-Anonymization With Attribute Selection for Reducing Computational Cost Rei Ueda, Kota Yoshida, Takeshi Fujino (Ritsumeikan Univ) ISEC2024-46 SITE2024-43 BioX2024-56 HWS2024-46 ICSS2024-50 EMM2024-52 |
In recent years, personal data has been used for various purposes. In general, personal data contains a lot of private i... [more] | ISEC2024-46 SITE2024-43 BioX2024-56 HWS2024-46 ICSS2024-50 EMM2024-52 pp.247-254 |
| RCC, RCS, SeMI, NS, SR, RISING (Joint) |
2024-07-18 09:50 |
Hokkaido | Hokkaido Citizens Activities Promotion Center (Primary: On-site, Secondary: Online) |
State-Flipped Control for Probabilistic Boolean Networks Using Reinforcement Learning Tatsuya Hasegawa, Fuma Motoyama, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) RCC2024-26 |
In this paper, we propose a Q-learning reward design method for state-flipped control of probabilistic Boolean networks ... [more] | RCC2024-26 pp.43-46 |
| RCC, RCS, SeMI, NS, SR, RISING (Joint) |
2024-07-18 14:35 |
Hokkaido | Hokkaido Citizens Activities Promotion Center (Primary: On-site, Secondary: Online) |
Over-the-Air-Computation-Aided Distributed Principle Component Analysis for Low-Latency Inference over Wireless Networks Yuki Murakami, Kabuto Arai, Koya Sato, Koji Ishibashi (UEC) RCS2024-102 |
This paper proposes a dimensionality reduction method based on distributed principal component analysis (DPCA) to reduce... [more] | RCS2024-102 pp.94-99 |
| RCS | 2024-06-21 09:20 |
Okinawa | (Primary: On-site, Secondary: Online) |
A Study on Deep Unfolding of Turbo Equalization in Overloaded MIMO Channels Haruki Sekiguchi, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) RCS2024-72 |
This paper investigates the effect of data-driven optimization by deep unfolding in overloaded multiple-input multiple-o... [more] | RCS2024-72 pp.260-265 |
| SRW, MWPTHz | 2024-06-07 11:10 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Machine Learning Dataset Based on Omnidirectional Images for mmWave Multipath Propagation Prediction for Indoor-Short-Range Communication Masaki Oda, Yusuke Koda, Norichika Ohmi, Hiroshi Harada (Kyoto Univ.) SRW2024-5 MWPTHz2024-5 |
This report proposes a machine learning dataset based on camera images for millimeter wave (mmWave) multipath propagatio... [more] | SRW2024-5 MWPTHz2024-5 pp.22-27 |
| PRMU, IPSJ-CVIM | 2024-05-16 15:10 |
Tokyo | (Primary: On-site, Secondary: Online) |
A Proposal for Generating Incorrect Pairs for the CLIP Learning based on Image Clustering Rina Tagami, Hiroki Kobayashi, Shuichi Akizuki, Manabu Hashimoto (Chukyo Univ.) PRMU2024-5 |
We proposed a novel method for generating incorrect pairs to enhance learning performance in CLIP's contrastive learning... [more] | PRMU2024-5 pp.24-29 |
| RCC, ISEC, IT, WBS | 2024-03-13 - 2024-03-14 |
Osaka | Osaka Univ. (Suita Campus) | An improvement method and security evaluation for the method of protecting ownership using digital watermark Dung Ta Anh, Hidema Tanaka (NDA) IT2023-76 ISEC2023-75 WBS2023-64 RCC2023-58 |
Since developing high-performance AI models requires significant time and cost, it is common to customize publicly avail... [more] | IT2023-76 ISEC2023-75 WBS2023-64 RCC2023-58 pp.5-11 |
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-13 10:40 |
Okinawa | Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Drum transcription based on periodicity between bars Masaki Suga, Tetsuya Matsumoto (Nagoyoa Univ.), Yoshinori Takeuchi (Daido Univ.), Hiroaki Kudo (Nagoyoa Univ.) IMQ2023-27 IE2023-82 MVE2023-56 |
Automatic musical score estimation from acoustic signals has been studied for a long time. In this study, acoustic signa... [more] | IMQ2023-27 IE2023-82 MVE2023-56 pp.81-86 |
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-14 15:40 |
Okinawa | Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
A study on figure skater's motion analysis for AI based jump classification Tomoya Tsubai, Nobutaka Kuroki, Masahiro Numa (Kobe Univ.) IMQ2023-53 IE2023-108 MVE2023-82 |
This paper proposes a method for recording time-series data from MediaPipe Pose and a method for configuring a neural ne... [more] | IMQ2023-53 IE2023-108 MVE2023-82 pp.220-223 |
| NC, MBE (Joint) |
2024-03-12 14:45 |
Tokyo | The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Investigating the Effect of Skip Connection on Learning Dynamics in the Initial Learning Process of Deep Neural Networks Ryodo Yuge, Takashi Shinozaki (Kindai Univ.) NC2023-59 |
We visualize the impact of skip connections, a key element in residual networks (ResNet), and visualize its impact on th... [more] | NC2023-59 p.94 |
| ET | 2024-03-02 14:15 |
Miyazaki | Miyazaki University | Proposal for a visualization system to assist in learning the Python programming language. Masanori Ohshiro, Yasuo Nagai (TUIS) ET2023-60 |
The authors have long believed that visualization tools are effective for learning programming languages,and have develo... [more] | ET2023-60 pp.48-52 |
| AI | 2024-03-01 13:40 |
Aichi | Room0221, Bldg.2-C, Nagoya Institute of Technology | Applying Graph Neural Networks and Reinforcement Learning to the Multiple Depot-Multiple Traveling Salesman Problem Dongyeop Kim, Toshihiro Matsui (NITech) AI2023-39 |
In this study, we introduce a method combining Graph Neural Networks (GNN) and reinforcement learning for the Multiple D... [more] | AI2023-39 pp.13-18 |
| CNR, BioX | 2024-02-29 13:30 |
Tokyo | NHK Science & Technology Research Laboratories (Primary: On-site, Secondary: Online) |
Design of Aerial dialing PIN code input authentication system using deep learning hand shape authentication Jun Wang, Bo Wu, Kiminori Sato (TUT) BioX2023-70 CNR2023-37 |
With the continuous development of modern technology, the demand for contactless authentication is increasing, and a sim... [more] | BioX2023-70 CNR2023-37 pp.1-6 |
| CNR, BioX | 2024-02-29 14:30 |
Tokyo | NHK Science & Technology Research Laboratories (Primary: On-site, Secondary: Online) |
Proposal of a Contactless Dial Lock Authentication System using Eye Blinks Kaiya Yokokura, Bo Wu, Kiminori Sato (TUT) BioX2023-72 CNR2023-39 |
In this paper, we introduce a contactless dial lock authentication system utilizing blinking eye movements. The system e... [more] | BioX2023-72 CNR2023-39 pp.13-17 |
| SR | 2024-01-25 13:25 |
Nagano | Nagano-ken JA building (Primary: On-site, Secondary: Online) |
[Short Paper]
A Performance Evaluation on Deep Reinforcement Learning based Transmit Power Control for Uplink NOMA Kaito Sawada, Xiaoyan Wang, Zhou Hang (Ibaraki Univ.), Masahiro Umehira (Nanzan Univ.) SR2023-73 |
Non-Orthogonal Multiple Access (NOMA) technology has attracted much attention in order to improve frequency utilization ... [more] | SR2023-73 pp.25-27 |
| CQ, CBE (Joint) |
2024-01-26 13:40 |
Kumamoto | Kurokawa-Onsen (Primary: On-site, Secondary: Online) |
Image analysis technology for estimating the optimum tomato harvest timing and developed AI camera Yasuhiro Okabe, Takefumi Hiraguri, Keita Endo, Naoki Yamada (NIT) CQ2023-66 |
If it were possible to mechanically estimate when tomatoes should be harvested timing, it would make harvesting easier f... [more] | CQ2023-66 pp.76-81 |
| EMT, PN, MWPTHz, IEE-EMT [detail] | 2024-01-22 10:55 |
Kyoto | Kyoto Univ. Yoshida Campus | Transmission Characteristics Adaptation of a Microstrip Line Filters Using the Transformer Keiichiro Yamada, Takashi Kuroki, Naoki Miyata (TMCIT) PN2023-49 EMT2023-89 MWPTHz2023-77 |
This paper presents new technique for inverse model that can be proposed geometrical parameters of microwave circuit fro... [more] | PN2023-49 EMT2023-89 MWPTHz2023-77 pp.11-16 |
| SIP, IT, RCS | 2024-01-19 10:20 |
Miyagi | (Primary: On-site, Secondary: Online) |
Coordinated Multi-Point with Hierarchical Active Inference of Position and Propagation Channel Tatsuya Otoshi, Masayuki Murata (Osaka Univ.) IT2023-63 SIP2023-96 RCS2023-238 |
This study focuses on cooperative beamforming among base stations in wireless communication technology and proposes a ne... [more] | IT2023-63 SIP2023-96 RCS2023-238 pp.181-186 |
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