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 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
WIT, HI-SIGACI 2023-12-07
11:15
Tokyo AIST Tokyo Waterfront (TBD) On Modeling Daily Activities of the Elderly Living Alone Using Markov Series of Dirichlet Multinomial Mixture Models
Ken Sadohara (AIST) WIT2023-30
To develop smart home technology designed to analyze the activity of residents based on the logs of installed sensors, a... [more] WIT2023-30
pp.31-36
IBISML 2022-12-22
10:10
Kyoto Kyoto University
(Primary: On-site, Secondary: Online)
IBISML2022-40 Supervised learning, the core technology for current "AI", predicts the future as an extension of the experienced past a... [more] IBISML2022-40
p.1
SWIM 2017-12-02
14:45
Tokyo Tokyo University of Science, Kagurazaka Campus, Fujimi Building SWIM2017-20 The technology of the autonomous and connected car will be advancing with the functional implementation of Intelligent T... [more] SWIM2017-20
pp.7-12
ICM, CQ, NS, NV
(Joint)
2017-11-17
10:30
Kagawa   Distributed Resource Management following the Load Fluctuation of Edge Servers in Widely Distributed Processing System
Kento Ikkaku, Koichiro Amemiya (Fujitsu Labs.) CQ2017-80
Recently, physical data can be corrected from IoT devices, such as smart phone or in-vehicle cameras in real-time. Acco... [more] CQ2017-80
pp.57-62
NS, RCS
(Joint)
2015-12-17
13:00
Ehime Matsuyama Community Center [Invited Lecture] 5G R&D Activities for High Data Rate and Low-Power-Consumption Radio Access Technologies with Higher-Frequency-Band and Wider-Bandwidth Massive MIMO
Yukihiko Okumura, Satoshi Suyama (NTT DOCOMO), Toshifumi Sato, Yasushi Maruta (NEC), Akihiro Okazaki, Atsushi Okamura (Mitsubishi Electric), Akihiro Otaka, Jun Terada (NTT) NS2015-133 RCS2015-249
In this report, we introduce our 5G R&D activities for “High Data Rate and Low-Power-Consumption Radio Access Technologi... [more] NS2015-133 RCS2015-249
pp.37-42(NS), pp.35-40(RCS)
ET 2004-12-18
14:00
Oita   VR-based physics e-learning system using force-feedback device and its effects
Noriyuki Iwane, Masayuki Inoue, Manabu Nakamura, Yukihiro Matsubara (Hiroshima City Univ.)
We have been building VR-based physics e-learning systems based on the framework which integrates VR technology and ITS.... [more] ET2004-84
pp.67-72
 Results 1 - 6 of 6  /   
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