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All Technical Committee Conferences  (Searched in: Recent 10 Years)

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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 63  /  [Next]  
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
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