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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 17 of 17  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
CCS, IN
(Joint)
2023-08-04
10:58
Hokkaido Banya-no-yu Resource Allocation Optimization in Multi-User NOMA Systems Using Higher-Order Hamiltonians
Shuho Ishibashi, Ohtsuka Teppei, Maki Arai (TUS), Aohan Li (UEC), Hiroki Takesue, Kensuke Inaba (NTT), Kazuyuki Aihara (UT), Mikio Hasegawa (TUS) CCS2023-24
Non-Orthogonal Multiple Access (NOMA) is a next-generation communication technology in which multiple users share a sing... [more] CCS2023-24
pp.37-42
OCS, CS
(Joint)
2023-01-13
13:45
Fukuoka CANAL CITY HAKATA
(Primary: On-site, Secondary: Online)
Eigenvalue analysis of dispersion-managed solitons in anomalous and normal dispersion fiber
Ryuya Hirga, Hiroki Endo, Kohei Hashimoto, Akihiro Maruta (Osaka Univ.) CS2022-71
Dispersion management (DM) has been a well-known technique for mitigating the inter-channel nonlinear interactions which... [more] CS2022-71
pp.41-46
ITE-BCT, OCS, IEE-CMN, OFT 2022-11-10
14:50
Miyagi Forest-Sendai
(Primary: On-site, Secondary: Online)
Eigenvalue of bi-soliton and its dependency on transmission line parameters
Kohei Hashimoto, Hiroki Endo, Akihiro Maruta (Osaka Univ) OCS2022-43
Dispersion management (DM) has been a well-known technique for mitigating the inter-channel nonlinear interactions which... [more] OCS2022-43
pp.18-23
OPE, OCS, LQE 2022-10-20
14:05
Ehime
(Primary: On-site, Secondary: Online)
[Invited Talk] Eigenvalue of dispersion managed soliton and its dependency on transmission line parameter
Akihiro Maruta, Hiroki Endo, Shogo Nakao (Osaka Univ.) OCS2022-19 OPE2022-65 LQE2022-28
Dispersion management has been a well-known technique for mitigating the inter-channel nonlinear interactions which limi... [more] OCS2022-19 OPE2022-65 LQE2022-28
pp.10-15
OCS, PN, NS
(Joint)
2022-06-10
14:15
Online Online Eigenvalue Analysis of Dispersion Managed Soliton
Akihiro Maruta, Hiroki Endo (Osaka Univ.) OCS2022-13
Dispersion management has been a well-known technique for mitigating the inter-channel nonlinear interactions which limi... [more] OCS2022-13
pp.18-23
MVE, IPSJ-CVIM, VRSJ-SIG-MR 2022-01-27
16:45
Online Online Competitive Group Atmosphere Generation Model of Multiple Virtual Agents in Group Training
Cong Wang (Kansai Univ), Naoto Yoshida (Nagoya Univ), Tomoko Yonezawa (Kansai Univ) MVE2021-35
In this study, we aim to improve users' learning motivation to elevate work efficiency by presenting anthropomorphic vir... [more] MVE2021-35
pp.31-36
IBISML 2020-10-22
10:25
Online Online IBISML2020-28 I will introduce significant pattern mining techniques that are designed to find statistically significant interactions ... [more] IBISML2020-28
p.47
RISING
(2nd)
2019-11-26
14:10
Tokyo Fukutake Learning Theater, Hongo Campus, Univ. Tokyo Due to the sophistication and diversification of information infrastructure in recent years, the risk due to connections... [more]
ICSS 2018-11-21
13:25
Kagoshima   Investigation of Security-Related Factors of Satisfactions in Internet Services
Yukiko Sawaya, Akira Yamada, Ayumu Kubota (KDDI Research) ICSS2018-54
The number of services on the Internet and devices connected to the Internet has been increased. Under such circumstance... [more] ICSS2018-54
pp.7-12
MVE, HI-SIG-VR 2013-09-26
11:15
Hokkaido Rishiri Island, "Donto" A Basic Study on Multiplexing of PVLC Projectors
Kyotaro Tanaka, Shogo Fukushima, Takeshi Naemura (Univ. of Tokyo) MVE2013-23
These days, research on multi-projection is emerging which enable us to spread projected image and create novel interact... [more] MVE2013-23
pp.29-34
NC, MBE
(Joint)
2011-03-07
16:50
Tokyo Tamagawa University Reinforcement learning with Multiple actions
Hayato Nakama, Satoshi Yamada (Okayama Univ. Sci.) NC2010-155
The multiple action consists of a group of primitive actions and the termination conditions. In this study, the RL with ... [more] NC2010-155
pp.165-170
NS, ICM, CQ
(Joint)
2010-11-19
14:45
Kyoto Katsura Campus, Kyoto Univ. Characteristics and Behaviors of Humans in Hop-by-Hop Information Propagation over Social Networks
Yoshinori Takata, Ryoichi Shinkuma (Kyoto Univ.), Naoki Yoshinaga, Satoko Itaya, Shinichi Doi, Keiji Yamada (NEC), Tatsuro Takahashi (Kyoto Univ.) CQ2010-62
Human characters are important in understanding human behaviors in information distribution on social networks. To analy... [more] CQ2010-62
pp.79-84
R 2009-11-20
15:10
Osaka   On an Optimal Maintenance Policy for Two-state POMDP Model with Multiple Observations
Kenichi Hayashi, Nobuyuki Tamura, Tetsushi Yuge, Shigeru Yanagi (N.D.A) R2009-44
This study considers a system which can be in either a GOOD or BAD state
and which deteriorates stochastically in discr... [more]
R2009-44
pp.17-22
MRIS, ITE-MMS 2008-12-11
14:00
Ehime Ehime University Analysis of recording characteristics of photopolymers in holographic memory
Keita Shimada, Naruki Yoshida, Yuko Seki, Manabu Yamamoto (TUS) MR2008-39
A photopolymer must satisfy certain criteria to qualify as a practical recording medium. However, the reaction processes... [more] MR2008-39
pp.7-11
IT 2007-11-27
14:50
Mie Kashikojima Hojoen (Shima) [Invited Talk] RNA Secondary Structure Prediction Based on Formal Grammars
Yuki Kato (Kyoto Univ.), Hiroyuki Seki (NAIST), Tatsuya Akutsu (Kyoto Univ.) IT2007-21
Recently, much attention has been paid to RNA secondary structure prediction that applies parsing techniques in formal g... [more] IT2007-21
pp.7-16
ISEC, SITE, IPSJ-CSEC 2006-07-21
17:00
Okayama Okayama Univ. 3MN: An Anonymous Communication System Based on Multiple Encryption and Probabilistic Selections of Actions
Naoki Miyake, Yoshimichi Ito, Noboru Babaguchi (Osaka Univ.)
This paper proposes a new anonymous communication system called 3MN (3-Mode Net). The system can be regarded as an exten... [more] ISEC2006-61
pp.159-164
NC 2006-06-15
12:10
Okinawa OIST Predicting type of protein-protein interaction as a multiple-instance learning problem
Hiroshi Yamakawa, Yoshio Nakao, Koji Maruhashi (FUJITSU LAB.)
We propose a method for predicting types of protein-protein interactions using a multiple-instance learning (MIL) model.... [more] NC2006-15
pp.37-42
 Results 1 - 17 of 17  /   
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