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Technical Committee on Nonlinear Problems (NLP)  (Searched in: 2018)

Search Results: Keywords 'from:2019-03-14 to:2019-03-14'

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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 1 - 20 of 29  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP, MSS
(Joint)
2019-03-14
12:30
Fukui Bunkyo Camp., Univ. of Fukui A Proposal of Screen Design Personalization Based on Reference Relationships among Data Items -- Focusing on Power Supply and Demand Systems --
Takuya Arata, Shingo Yamaguchi (Yamaguchi Univ), Ichiro Toyoshima (Toshiba Energy) MSS2018-81
In this paper, we proposed a method of personalization of information system. The authors focused on the relation
betwe... [more]
MSS2018-81
pp.1-6
NLP, MSS
(Joint)
2019-03-14
12:55
Fukui Bunkyo Camp., Univ. of Fukui Experiment on SMT-LIB Encoding Methods for Simulink Models
Koki Takenaka, Daisuke Ishii (U. Fukui) MSS2018-82
Static analysis is useful for coverage testing etc. for Simulink models as for general-purpose programs. In this work, w... [more] MSS2018-82
pp.7-11
NLP, MSS
(Joint)
2019-03-14
13:20
Fukui Bunkyo Camp., Univ. of Fukui Specification description of real-time multitask systems by the OTS/CafeOBJ method
Shuki Higashi, Masaki Nakamura, Kazutoshi Sakakibara (Toyama Pref. Univ.), Kazuhiro Ogata (JAIST) MSS2018-83
 [more] MSS2018-83
pp.13-18
NLP, MSS
(Joint)
2019-03-14
13:45
Fukui Bunkyo Camp., Univ. of Fukui Implementation of Rigorous Simulator for Hybrid Systems Based on Duracz et al. 's Operational Semantics
Shota Kojima, Daisuke Ishii (U. Fukui) MSS2018-84
Rigorous numerical simulation based on a safe approximation of states plays an important role in analysis of hybrid syst... [more] MSS2018-84
pp.19-22
NLP, MSS
(Joint)
2019-03-14
14:20
Fukui Bunkyo Camp., Univ. of Fukui An ADMM Approach to Distributed Optimization in Distribution System for Balancing Consumers Utilities
Naoki Hidaka, Toshiyuki Miyamoto (Osaka Univ.) MSS2018-85
In recent years, the installation of distributed energy resources such as photovoltaic (PV) generations progresses. Howe... [more] MSS2018-85
pp.23-27
NLP, MSS
(Joint)
2019-03-14
14:45
Fukui Bunkyo Camp., Univ. of Fukui Population Game Model of Customers with Erroneous Perceptions of Values on Reviews
Daiki Kuromi, Takafumi Kanazawa (Osaka Univ.) MSS2018-86
In recent years, the online shopping has become common.
On the review site, consumers can estimate values of the contri... [more]
MSS2018-86
pp.29-34
NLP, MSS
(Joint)
2019-03-14
15:10
Fukui Bunkyo Camp., Univ. of Fukui On Stability of Consensus Control of Discrete-time Multi-agent Systems by a Single Pinning Agent
Dongwu Xu, Toshimitsu Ushio (Osaka Univ.) MSS2018-87
In this report, we consider the consensus problem of discrete-time multi-agent systems with a pinning control method. We... [more] MSS2018-87
pp.35-38
NLP, MSS
(Joint)
2019-03-14
15:45
Fukui Bunkyo Camp., Univ. of Fukui Invariants and Invariant groups of cellular automata
Tadakazu Sato (Toyo Univ.) MSS2018-88
We show the relationship between invariants and invariant groups of one dimensional cellular automatawith constant to on... [more] MSS2018-88
pp.39-44
NLP, MSS
(Joint)
2019-03-14
16:10
Fukui Bunkyo Camp., Univ. of Fukui A study on the probabilistic information processing using a machine learning result
Shun Kataoka (OUC) MSS2018-89
We consider a framework of the probabilistic information processing utilizing the machine learning result. In probabilis... [more] MSS2018-89
pp.45-50
NLP, MSS
(Joint)
2019-03-14
16:35
Fukui Bunkyo Camp., Univ. of Fukui Verification of Anomaly Detection Method for Digital Input-Output Signals
Masahiko Shibata, Daiki Nakahara, Satoshi Mii (Mitsubishi Electric Corp.) MSS2018-90
When trouble occurs at production lines, it is required to locate the cause quickly. The authors have proposed a method ... [more] MSS2018-90
pp.51-55
NLP, MSS
(Joint)
2019-03-14
17:10
Fukui Bunkyo Camp., Univ. of Fukui [Invited Talk] Optimization Algorithms for Deregulation of Electric Power Market
Marta Marmiroli (MITSUBISHI ELECTRIC) MSS2018-91
 [more] MSS2018-91
pp.57-58
NLP, MSS
(Joint)
2019-03-14
12:55
Fukui Bunkyo Camp., Univ. of Fukui Comparison of coupling element characteristics in multiphase CMOS LC oscillator using THD analysis
Kenta Akao, Seiichiro Moro (Univ. of Fukui) NLP2018-124
Synchronization phenomena are observed in every place in nature such as firefly light emission and pendulum of the clock... [more] NLP2018-124
pp.1-6
NLP, MSS
(Joint)
2019-03-14
13:20
Fukui Bunkyo Camp., Univ. of Fukui An Analytical Method of Computing Electron Trajectories on Waveguides by the Superposition of Single-Mode Wave Propagation
Shota Hayakawa, Hisato Fujisaka, Takeshi Kamio (Hiroshima City Univ.) NLP2018-125
In this paper, we obtain analytically behaviors of electron wave packets and probabilistic particle model of electrons o... [more] NLP2018-125
pp.7-12
NLP, MSS
(Joint)
2019-03-14
13:45
Fukui Bunkyo Camp., Univ. of Fukui Stabilization of Nonlinear Systems with Uncertain Input Delays Using Deep Reinforcement Learning
Junya Ikemoto, Toshimitsu Ushio (Osaka Univ) NLP2018-126
 [more] NLP2018-126
pp.13-16
NLP, MSS
(Joint)
2019-03-14
14:20
Fukui Bunkyo Camp., Univ. of Fukui Improvement of Near-miss Courses by Reinforcement Learning to Search Ships' Courses
Takahiro Tomihara, Takeshi Kamio (Hiroshima City Univ.), Takahiro Tanaka (Japan Coast Guard Academy), Kunihiko Mitsubori (Takusyoku Univ.), Hisato Fujisaka (Hiroshima City Univ.) NLP2018-127
Deciding efficient and safe courses of ships before actual navigation is very important. We have developed multi-agent r... [more] NLP2018-127
pp.17-22
NLP, MSS
(Joint)
2019-03-14
14:45
Fukui Bunkyo Camp., Univ. of Fukui Behavior classification method based on the feature space in a neural network
Masafumi Chida, Keita Sato, Nahomi Fujiki, Yoshihiro Hyakawa (NITS) NLP2018-128
(To be available after the conference date) [more] NLP2018-128
pp.23-26
NLP, MSS
(Joint)
2019-03-14
15:10
Fukui Bunkyo Camp., Univ. of Fukui Automatic classification of human behavior using wearable devices
Keita Sato, Masafumi Chida, Yoshihiro Hayakawa, Nahomi Fujiki (NITS) NLP2018-129
(To be available after the conference date) [more] NLP2018-129
pp.27-30
NLP, MSS
(Joint)
2019-03-14
15:35
Fukui Bunkyo Camp., Univ. of Fukui Effect of Dropout Layers of Neural Networks Applied for Iterative Error-Detection Clustering Method
Taishi Watanabe, Masayuki Yamauchi (Hiroshima Institute of Tech.), Mamoru Tanaka (Sophia Univ.) NLP2018-130
IoT has been continued to develop greatly. It is important that cluttered big data need to be used effectively on intern... [more] NLP2018-130
pp.31-36
NLP, MSS
(Joint)
2019-03-15
09:00
Fukui Bunkyo Camp., Univ. of Fukui Words co-occurrence-based mail filtering using Jaccard coefficient
Seiya Temma, Manabu Sugii, Hiroshi Matsuno (Yamaguchi Univ) MSS2018-92
The validity of mail filtering method with co-occurrence index of words has been shown experimentally. In this study, we... [more] MSS2018-92
pp.59-64
NLP, MSS
(Joint)
2019-03-15
09:25
Fukui Bunkyo Camp., Univ. of Fukui MSS2018-93 Research on network motifs has recently focused on the relationship between form and function, in the context of Boolean... [more] MSS2018-93
pp.65-68
 Results 1 - 20 of 29  /  [Next]  
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