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Committee Date Time Place Paper Title / Authors Abstract Paper #

Mie Sinfonia Technology Hibiki Hall Ise Automatic measurement of infant's social behavior using AI technology -- attachment-related approaching to caregiver, and attack, empathy, prosocial behavior to peers --
Kiri Nishida (CEDEP), Shinichiro Ichikawa, Akinori Sato, Tomohiro Nakano, Takeshi Baba, Nobuki Hayashi (TOYOTA), Shoko Nozawa (CEDEP), Yuri Koyama, Toshihiko Endo (The University of Tokyo)
“If only there were an efficient way for me to see my child’s moments of growth while they’re at nursery school…” Many p... [more]
MVE 2017-10-20
Hokkaido KitamiInstitute of Technology Estimating the attractiveness of a food photo using a Convolutional Neural Network
Akinori Sato (Nagoya Univ.), Keisuke Doman (Chukyo Univ.), Takatsugu Hirayama, Ichiro Ide, Yasutomo Kawanishi, Daisuke Deguchi, Hiroshi Murase (Nagoya Univ.) MVE2017-32
We have previously proposed a method for estimating the attractiveness of a food photo in order to assist a user to shoo... [more] MVE2017-32
EMCJ 2013-01-10
Nagasaki Nagasaki Univ. Improvement of Spatial Resolution of a Magnetic Field Measurement System for Intermedium Frequency Range
Akinori Sato (Aoyama Gakuin Univ.), Katsumi Fujii, Kanako Wake, Soichi Watanabe, Yasushi Matsumoto (NICT), Osamu Hashimoto (Aoyama Gakuin Univ.) EMCJ2012-102
(To be available after the conference date) [more] EMCJ2012-102
ET 2009-12-11
Okinawa Univ. of the Ryukyus A CAI System to Generate Questions Automatically in Accordance with the Course of Learning
Marie Hashidate, Kazuhiro Uenosono, Akinori Sato, Seiichi Komiya (Shibaura Inst. of Tech.) ET2009-59
The authors propose a CAI System to weak parts of a student by a system grasp where the learner's weak parts automatical... [more] ET2009-59
ET 2009-12-11
Okinawa Univ. of the Ryukyus A CAI System to Identify Weak Parts of a Student Objectively through Giving Difficulty Level to Each Question
Akinori Sato, Kazuhiro Uenosono, Marie Hashidate, Seiichi Komiya (Shibaura Inst. of Tech.) ET2009-60
Authors are constructing the CAI system to which the learner only has to learn only weak parts because the system automa... [more] ET2009-60
KBSE 2009-01-19
Tokyo Kikai-Shinko-Kaikan Bldg. B3-6 A CAI System to Identify Each Weak Part of a Learner -- Proposal for a new Student model and an Instruction Program --
Shinya Kaneko, Kazuhiro Uenosono, Tomohiro Tachibana, Akinori Sato, Marie Hashidate, Seiichi Komiya (Shibaura Inst. of Tech.) KBSE2008-41
Recently, it is required to develop a Web Based CAI system to be able to learn efficiently due to the spread of Internet... [more] KBSE2008-41
KBSE 2009-01-19
Tokyo Kikai-Shinko-Kaikan Bldg. B3-6 Web-Based CAI system that used enhancing Overlay Model -- Method of generating Decision Frame appropriate according to phase --
Tomohiro Tachibana, Kazuhiro Uenosono, Shinya Kaneko, Akinori Sato, Marie Hashidate, Seiichi Komiya (Shibaura Inst. of Tech.) KBSE2008-42
 [more] KBSE2008-42
Chiba Chiba Univ. A Study on Bufferless Routing Networks using Rerouting Control
Yusuke Kanno, Shin Konno, Tomihiro Utsumi, Akinori Sato, Ken-ichi Yukimatsu, Mahito Kobayashi, Masashi Hashimoto (Akita Univ.) NS2007-109
In this paper, we propose novel network architecture based on bufferless packet routing, and discuss the feasibility of ... [more] NS2007-109
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