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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
SIS, IPSJ-AVM 2022-06-10
11:40
Fukuoka KIT(Wakamatsu Campus)
(Primary: On-site, Secondary: Online)
An embedded-oriented sound classification system using reservoir computing
Yuichiro Tanaka, Issei Uchino (Kyutech), Kazunobu Ohkuri (Sony), Hakaru Tamukoh (Kyutech) SIS2022-9
Although deep neural networks (DNNs) have achieved state-of-the-art results in sound classification tasks in recent year... [more] SIS2022-9
pp.41-44
UWT
(2nd)
2022-03-01
14:05
Online Online Formulation and Validation of the Transmission Factor Between Two Electrically Small Dipole Antennas Immersed in Seawater
Takashi Kawamura, Takuma Matsushita, Toshinori Kondo, Futoshi Takeuchi, Kazuhiro Hongo, Yasuhiro Matsui, Takashi Takinami, Akihiro Horii, Kazunobu Ohkuri (Sony Group)
As one of the theoretical approaches to reveal antenna behavior in the sea, it has been reported that the impedances of ... [more]
WPT, UWT
(Joint)
2021-11-12
14:45
Online Online Formulation, Validation, and Extensibility Study on the Impedance of Underwater Dipole Antennas
Takuma Matsushita, Takashi Kawamura, Toshinori Kondo, Futoshi Takeuchi, Yasuhiro Matsui, Takashi Takinami, Kazuhiro Hongo, Akihiro Horii, Kazunobu Ohkuri (Sony Group Corp.)
This paper describes the theoretical formulation for half sheath dipole antenna(HSDA) and adaption area of this formulat... [more]
SDM, ICD, ITE-IST [detail] 2021-08-18
09:30
Online Online [Invited Talk] Analog in-memory computing in FeFET based 1T1R array for low-power edge AI applications
Daisuke Saito, Toshiyuki Kobayashi, Hiroki Koga (SONY), Yusuke Shuto, Jun Okuno, Kenta Konishi (SSS), Masanori Tsukamoto, Kazunobu Ohkuri (SONY), Taku Umebayashi (SSS), Takayuki Ezaki (SONY) SDM2021-36 ICD2021-7
Deep neural network (DNN) inference for edge AI requires low-power operation, which can be achieved by implementing mass... [more] SDM2021-36 ICD2021-7
pp.33-37
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