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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 13 of 13  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NS, IN
(Joint)
2024-02-29
10:10
Okinawa Okinawa Convention Center Multimodal Object Recognition Method Using Bayesian Attractor Model For 3D Point Clouds and RGB Images
Haruhito Ando, Daichi Kominami, Ryoga Seki, Masayuki Murata, Hideyuki Shimonishi (Osaka Univ.) NS2023-192
Beyond 5G/6G, technology is driving the development of digital twins. In recent years, the amount of information that ca... [more] NS2023-192
pp.119-124
NC, MBE
(Joint)
2023-03-15
10:05
Tokyo The Univ. of Electro-Communications
(Primary: On-site, Secondary: Online)
Real-time stress detection using Yuragi learning by multimodal integration of living-body information
Risa Yoshida, Yuichi Ohsita, Masayuki Murata (Osaka Univ.) MBE2022-68
In recent years, psychological fatigue based on the working environment and mental strain has become an issue. Therefore... [more] MBE2022-68
pp.49-54
CQ, IMQ, MVE, IE
(Joint) [detail]
2022-03-10
18:30
Online Online (Zoom) Implementation and evaluation of an object recognition method for Digital Twin using cognitive mechanism of the Brain
Kaito Kubo, Ryoga Seki, Daichi Kominiami, Hideyuki Shimonishi, Masayuki Murata (Osaka Univ.), Masaya Fujiwaka (NEC) CQ2021-125
It is desired to construct a digital twin that can sense objects such as people and objects in the real world and repres... [more] CQ2021-125
pp.136-141
CS, CQ
(Joint)
2021-05-14
11:15
Online On-line Proposal and Evaluation of an Object Estimation Method Inspired by Multimodal Information Processing in the Brain
Ryoga Seki, Daichi Kominami, Hideyuki Shimonishi, Masayuki Murata (Osaka Univ.), Masaya Fujiwaka, Kosuke Nogami (NEC) CQ2021-14
In order to realize the digital twin, it is desired to instantly identify various objects in the real world through sens... [more] CQ2021-14
pp.59-64
NS, IN
(Joint)
2020-03-06
14:00
Okinawa Royal Hotel Okinawa Zanpa-Misaki
(Cancelled but technical report was issued)
Evaluation of Network Resource Allocation Based on Monitored Traffic Condition inspired by the Cognitive Process of the Human Brain
Semin An, Yuichi Ohsita, Masayuki Murata (Osaka Univ.) IN2019-135
Many kinds of services have been provided through networks.
Traffic from such services should be accommodated so as to ... [more]
IN2019-135
pp.339-344
CQ, CBE
(Joint)
2020-01-17
09:40
Tokyo NHK Science & Technology Research Laboratories Bayesian channel selection method for LoRaWAN under unpredictable wireless channel fluctuations
Daichi Kominami (Osaka Univ.), Yohei Hasegawa, Kosuke Nogami, Hideyuki Shimonishi (NEC), Masayuki Murata (Osaka Univ.) CQ2019-122
Internet of Things (IoT) become a common term used in society. LPWA technology is attracting attention as one of its ele... [more] CQ2019-122
pp.83-88
RISING
(2nd)
2019-11-27
13:55
Tokyo Fukutake Learning Theater, Hongo Campus, Univ. Tokyo [Poster Presentation] Resource Allocation Incorporating Real-World Information For Network Slices With Human Brain Cognition
Semin An, Yuichi Ohsita, Nasayuki Murata (Osaka Univ.)
Network slicing is a technology to accomodate various network services. By using a network slicing, we allocate resource... [more]
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
PN 2018-03-05
14:55
Kagoshima Minami Tanemachi Shoko Kaikan [Invited Lecture] Virtual Network Reconfiguration Based on Bayesian Attractor Selection Model for Optical Networks
Toshihiko Ohba, Shin'ichi Arakawa, Masayuki Murata (Osaka Univ.) PN2017-96
One of approaches to accommodating traffic demand on an optical network is to configure a virtual network (VN), and reco... [more] PN2017-96
pp.31-38
PN 2017-11-16
15:20
Tokyo Kogakuin Univ. Virtual Network Reconfiguration Based on Bayesian Attractor Model with Linear Regression
Toshihiko Ohba, Shin'ichi Arakawa, Masayuki Murata (Osaka Univ.) PN2017-37
A typical approach for configuring a virtual network (VN) over an optical network is to design an optimal VN with a know... [more] PN2017-37
pp.57-63
NS, IN
(Joint)
2017-03-03
11:40
Okinawa OKINAWA ZANPAMISAKI ROYAL HOTEL Reconstruction of Virtual Network by Bayesian Attractor Model
Tatsuya Otoshi, Yuichi Ohshita, Masayuki Murata (Osaka Univ.) IN2016-129
Network Virtualization is expected to handle the various network traffic induced by such as IoT applications because a v... [more] IN2016-129
pp.193-198
NS, IN
(Joint)
2017-03-03
13:40
Okinawa OKINAWA ZANPAMISAKI ROYAL HOTEL QoE enhancement for video streaming based on a human perceptual mechanism
Daichi Kominami (Osaka Univ.), Takanori Iwai, Hideyuki Shimonishi (NEC), Masayuki Murata (Osaka Univ.) NS2016-221
In the near future, we will be able to access to all sorts of information via information networks. Then, it is desired ... [more] NS2016-221
pp.365-370
PN 2016-11-17
15:05
Saitama KDDI Research, Inc. A Bayesian-based Virtual Network Reconfiguration in Elastic Optical Path Networks
Toshihiko Ohba, Shin'ichi Arakawa, Masayuki Murata (Osaka Univ.) PN2016-33
A typical approach for constructing/reconfiguring a virtual network (VN) is to design an optimal topology and the amount... [more] PN2016-33
pp.45-50
 Results 1 - 13 of 13  /   
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