Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-19 13:10 |
Hokkaido |
Hokkaido Univ. (Hokkaido) |
Experiments on image recognition by optoelectronic deep neural network with scattering medium insertion Kaito Inoue, Takumi Hashiguchi, Taichi Takatsu, Rio Tomioka (Kyutech), Atsushi Shibukawa (Hokkaido Univ.), Masanori Takabayashi (Kyutech) |
Optoelectronic deep neural network (OE-DNN) has been proposed as a solution to address the increasing energy consumption... [more] |
MMS2025-33 ME2025-33 AIT2025-33 SIP2025-33 pp.161-166 |
IEICE-MRIS, MMS |
2024-12-05 14:20 |
Ehime |
Ehime Univ. (CITE) (Ehime, Online) (Primary: On-site, Secondary: Online) |
[Invited Talk]
Holographic memory using complex-amplitude-modulated signal beam Masatoshi Bunsen, Tomohiro Nishimura (Fukuoka Univ.) |
To achieve high-speed and large-capacity holographic memory, complex amplitude modulation, which applies modulation to b... [more] |
MMS2024-38 pp.7-13 |
3DMT |
2024-10-29 10:45 |
Tokyo |
(Tokyo, Online) (Primary: On-site, Secondary: Online) |
Compressing Phase-only Holograms via Phase Unwrapping Yoshiki Watanabe, Chihiro Tsutake, Keita Takahashi, Toshiaki Fujii (NU) |
We propose a compression method for phase-only holograms. We first apply a phase unwrapping algorithm to the target phas... [more] |
3DMT2024-60 pp.9-12 |
IEICE-SIS, BCT |
2024-10-03 16:40 |
Hokkaido |
Hokusei Gakuen Univ. (Hokkaido, Online) (Primary: On-site, Secondary: Online) |
[Invited Talk]
Near-data AI Processors and Hardware-Software Co-optimization Kota Ando (Hokkaido Univ.) |
Widely spreading AI applications are highly dependent on cloud computing. Specifically, AI applications based on neural ... [more] |
|
OSJ-HODIC, AIT, 3DMT, IDY, IEICE-EID, IEE-OQD, SID-JC |
2024-09-02 14:30 |
Tokyo |
Kikai-Shinko-Kaikan Bldg (Tokyo, Online) (Primary: On-site, Secondary: Online) |
[Invited Talk]
Deep Learning in Projection Mapping Daisuke Iwai (UOsaka) |
Projection mapping (PM) allows users to experience virtual and augmented reality without wearing displays by projecting ... [more] |
IDY2024-39 AIT2024-161 3DMT2024-50 pp.36-39 |
ME, IST, IEICE-BioX, IEICE-SIP, IEICE-MI, IEICE-IE [detail] |
2024-06-07 10:55 |
Niigata |
Nigata University (Ekinan-Campus "TOKIMATE") (Niigata) |
Price Prediction of Handmade Items using Multimodal Data Tomoya Sugihara (UTokyo), Shuntaro Masuda (UTokyo.), Shengzhou Yi, Toshihiko Yamasaki (UTokyo) |
Handmade products differ from mass-produced items as each item is uniquely crafted by hand. Therefore, setting initial p... [more] |
|
IIEEJ, AIT |
2024-06-05 11:30 |
Tokyo |
Tokyo Information Design Professional University (Tokyo, Online) (Primary: On-site, Secondary: Online) |
Performance Evaluation of Machine Learning Models using Entropy of Images Riko Abe, Yuya Dan (Matsuyama Univ.) |
In machine learning with artificial neural networks, there are differences in recognition accuracy in learning models of... [more] |
AIT2024-146 pp.17-20 |
AIT, IIEEJ, AS, CG-ARTS |
2024-03-05 14:30 |
Tokyo |
Tokyo University of Technology (Tokyo) |
Card game AI applying reinforcement learning with Unity ML-Agents Tatsuya Watanabe, Junichi Yamamoto (THCU) |
In recent years, there has been active research in game AI, with AI agents reaching the level of professional players in... [more] |
AIT2024-138 pp.375-376 |
IEICE-EID, IDY, IEE-EDD, SID-JC, IEIJ-SSL [detail] |
2024-01-25 13:15 |
Kyoto |
(Kyoto, Online) (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Reproduction of changes in membrane potential of neurons by synaptic devices using memristors Kenta Yachida, Yoshiya Abe, Kazuki Sawai (Ryukoku Univ.), Tokiyoshi Matsuda (Kindai Univ./Ryukoku Univ.), Hidenori Kawanishi (Ryukoku Univ.), Mutsumi Kimura (Ryukoku Univ./NAIST) |
We attempted to replicate the changes in the membrane potential of neurons using thin-film neuromorphic devices that int... [more] |
|
IEICE-CPM, IEICE-MRIS, IEICE-OME, MMS [detail] |
2023-10-26 13:00 |
Niigata |
(Niigata, Online) (Primary: On-site, Secondary: Online) |
[Invited Talk]
Development of magneto-optical diffractive deep neural network device Takayuki Ishibashi, Hotaka Sakaguchi, Jian Zhang, Fatima Chafi Zhara (Nagaoka Univ. Tech.), Hirofumi Nonaka (Aichi Inst. Tech.), Satoshi Sumi, Hiroyuki Awano (Toyota Tech. Inst.N) |
We propose a magneto-optical diffractive deep neural network (MO-D2NN). We simulated several MO-D2NNs, each of which con... [more] |
MMS2023-38 pp.1-2 |
IEICE-SIS, BCT |
2023-10-13 09:30 |
Yamaguchi |
HISTORIA UBE (Yamaguchi, Online) (Primary: On-site, Secondary: Online) |
[Invited Talk]
Material reservoir computing devices for robot applications, such as in-sensor tactile computing devices Hirofumi Tanaka (Kyutech) |
Reservoir arithmetic elements, which are expected to be used as lighter-task AI hardware systems, were fabricated in ran... [more] |
|
AIT, 3DMT, OSJ-HODIC |
2023-09-08 17:15 |
Tokyo |
Nihon Univ. College of Science and Technology (Surugadai Campus) (Tokyo) |
|
Phase unwrapping is a technique used to recover the original phase from the wrapped phase in the range (−π, π]. Conventi... [more] |
AIT2023-147 3DMT2023-34 pp.33-36 |
ME, IEICE-EMM, IEICE-IE, IEICE-LOIS, IEE-CMN, IPSJ-AVM [detail] |
2023-09-07 09:50 |
Osaka |
Osaka Metropolitan Univ. (Osaka, Online) (Primary: On-site, Secondary: Online) |
Improving Performance of Convolutional Neural Network-Based Driver Behavior Recognition Shengbiao Wang, Koji Iwano (Tokyo City Univ.) |
This study investigates the automatic recognition of driver behaviors using images captured by in-vehicle cameras for th... [more] |
ME2023-90 pp.7-12 |
BCT, IEEE-BT, HOKKAIDO |
2023-07-28 11:50 |
Hokkaido |
Sapporo Business Innovation Center (Hokkaido, Online) (Primary: On-site, Secondary: Online) |
An Evaluation of Neural Network Parameters for Decoding (8,4) and (16,8) Polar Codes Reona Kumaki, Hiroshi Tsutsui, Takeo Ohgane (Hokkaido Univ.) |
Polar codes are one type of error correction codes.
When operated with a sufficiently long code length, polar codes ca... [more] |
BCT2023-61 pp.49-52 |
IST |
2023-06-21 14:10 |
Tokyo |
Tokyo University of Science Morito Memorial Hall (Tokyo) |
[Poster Presentation]
Verification of the effectiveness of multitask learning for demosaicking and white-balancing Yuki Nakagomi, Ryoya Takeuchi, Taishi Iriyama, Takashi Komuro (Saitama Univ) |
In this study, we conducted an investigation on the learning effectiveness of jointly training demosaicking and white ba... [more] |
IST2023-25 pp.19-22 |
IIEEJ, AIT |
2023-06-03 14:30 |
Tokyo |
TOKYO CITY UNIVERSITY (Tokyo, Online) (Primary: On-site, Secondary: Online) |
Video Encoding Scheme Using Autoencoder with Learning Decoded Image of Previous Frame Koki Inoue, Atsushi Koike (Seikei Univ) |
In recent years, research on image processing using deep learning has been active, and an image coding method using neur... [more] |
AIT2023-131 pp.27-30 |
MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] |
2023-02-21 13:00 |
Hokkaido |
Hokkaido Univ. (Hokkaido) |
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] |
MMS2023-7 ME2023-27 AIT2023-7 pp.35-40 |
MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] |
2023-02-22 13:45 |
Hokkaido |
Hokkaido Univ. (Hokkaido) |
A Note on Age Estimation of Chum Salmon based on Characteristics of Annulus Mikiyasu Nishiyama, Genki Suzuki, Hiroyuki Shioya (Muroran IT) |
In Hokkaido, fishing salmon, squid, and other representative regional marine products could be better, and research and ... [more] |
MMS2023-30 ME2023-50 AIT2023-30 pp.231-234 |
IST |
2022-12-12 14:20 |
Shizuoka |
Sanaru Hall (Shizuoka) |
[Poster Presentation]
[Poster Presentation] Non-invasive non-contact gingival thickness imaging using visible light and near infrared light Ryotaro Mori, Keiichiro Kagawa (Shizuoka Univ.), Jun Tanida (Osaka Univ.), Chizuko Ogata (Osaka Dental Univ.) |
Gingival thickness is important information in periodontal surgery and gingival recession. In this study, we propose a n... [more] |
IST2022-56 pp.47-48 |
3DMT |
2022-10-17 15:40 |
Tochigi |
(Tochigi, Online) (Primary: On-site, Secondary: Online) |
Blurring correction using super-resolution on convolutional neural Network for aerial image with dihedral corner reflector array Takumi Nagao, Daisuke Miyazaki (Osaka Metropolitan Univ.) |
Aerial images with dihedral corner reflector array have the advantages that they do not have image aberration and restri... [more] |
3DMT2022-47 pp.29-32 |