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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
ICD, SDM, ITE-IST [detail] |
2022-08-10 15:15 |
Online |
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[Invited Talk]
A CMOS Image Sensor and an AI Accelerator for Realizing Edge-Computing-Based Surveillance Camera Systems Fukashi Morishita, Norihito Kato, Satoshi Okubo, Takao Toi, Mitsuru Hiraki, Sugako Otani, Hideaki Abe, Yuji Shinohara, Hiroyuki Kondo (Renesas Electronics) SDM2022-52 ICD2022-20 |
This paper presents a CMOS image sensor and an AI accelerator to realize surveillance camera systems based on edge compu... [more] |
SDM2022-52 ICD2022-20 pp.83-86 |
RCS |
2021-10-21 16:00 |
Online |
Online |
[Poster Presentation]
A Study on Bayesian Receiver Design via Bilinear Inference for Scalable Cell-Free Massive MIMO Takumi Takahashi (Osaka Univ.), Hiroki Iimori (JUB), Kengo Ando, Koji Ishibashi (UEC), Shinsuke Ibi (Doshisha Univ), Giuseppe Abreu (JUB) RCS2021-129 |
One of the main challenges in realizing uplink scalable cell-free massive multi-input multi-output (CF-mMIMO) is capacit... [more] |
RCS2021-129 pp.57-62 |
MI, MICT [detail] |
2019-11-05 10:00 |
Ibaraki |
Univ. of Tsukuba |
A study of machine learning algorithm for wearable biosignal sensor Daisuke Watanabe, Yuji Yano, Shintaro Izumi, Hiroshi Kawaguchi, Masahiko Yosimoto (Kobe Univ.) MICT2019-25 MI2019-52 |
The algorithm was evaluated assuming that edge inference was performed on the data obtained from the wearable biological... [more] |
MICT2019-25 MI2019-52 pp.7-8 |
NS |
2018-04-19 13:25 |
Fukuoka |
Fukuoka Univ. |
Channel assignment for LPWA networks inspired by perceptual decision-making of human brain Daichi Kominami (Osaka Univ.), Kazuya Suzuki, Yohei Hasegawa, Hideyuki Shimonishi (NEC), Masayuki Murata (Osaka Univ.) NS2018-2 |
Low power wide area (LPWA) technology that realizes low-power-consumption and wide-area communication is rapidly spreadi... [more] |
NS2018-2 pp.7-12 |
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