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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 324  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NS, NWS
(Joint)
2024-01-25
15:55
Hiroshima Higashisenda Campus, HiroshimaUniversity + Online
(Primary: On-site, Secondary: Online)
Performance of Backup Resources Allocation based on Unavailability Analysis Against Failures of Virtual and Physical Machines
Nozomi Kita, Eiji Oki (Kyoto Univ.) NS2023-164
This paper presents the performance of our introduced backup allocation model for virtual machines that minimizes the un... [more] NS2023-164
pp.26-31
IBISML 2023-12-21
10:55
Tokyo National Institute of Informatics
(Primary: On-site, Secondary: Online)
On the benefits of Partial Stochastic Bayesian Neural Networks
Koki Sato, Daniel Andrade (Hiroshima Univ.) IBISML2023-36
Bayesian neural networks (BNNs) can model uncertainty in the prediction results better than ordinary neural networks. Ho... [more] IBISML2023-36
pp.37-41
R 2023-12-07
14:40
Tokyo Kikai-Shinko-Kaikan Bldg
(Primary: On-site, Secondary: Online)
Optimal CBM policy for a degrading system with two weighted components
Shinji Kawano, Nobuyuki Tamura (Hosei Univ.) R2023-51
We consider a system in which the degradation of two components follows a Wiener process with different drifts, and a fa... [more] R2023-51
pp.6-11
ICM, NS, CQ, NV
(Joint)
2023-11-21
12:50
Ehime Ehime Prefecture Gender Equality Center
(Primary: On-site, Secondary: Online)
Probabilistic Estimation of Millimeter Signal Communication Conditions in Private 5G Environments
Daiki Kodama, Kenji Ohira, Hideyuki Shimonishi (Osaka Univ.), Toshiro Nakahira, Daisuke Murayama, Tomoaki Ogawa (former NTT) CQ2023-43
In Cyber-Physical Systems (CPS), to improve the reliability of wireless communication, it is important to design the sys... [more] CQ2023-43
pp.32-37
AI 2023-09-12
14:55
Hokkaido   Event-Driven Reinforcement Learning with Semi Markov Models for Stable Air-Conditioning Control
Hayato Chujo, Arai Sachiyo (Chiba Univ) AI2023-16
This study deals with air conditioning control that optimizes room temperature by switching heaters on/off. The control ... [more] AI2023-16
pp.83-86
NLP, MSS 2023-03-15
16:35
Nagasaki
(Primary: On-site, Secondary: Online)
An Trial to Replace Chaotic Neural Networks with Hidden Markov Models. -- A Case of Method for Solving Asymmetric Traveling Salesman Problems --
Toshihiro Tachibana, Tomoya Matsuno (Shonan Inst. of Tech.), Masaharu Adachi (Tokyo Denki Univ.), Kaya Nagasawa (Shonan Inst. of Tech.) MSS2022-78 NLP2022-123
We have proposed a method for adaptive switching between multiple methods using chaotic neural networks. Our research ha... [more] MSS2022-78 NLP2022-123
pp.81-84
CAS, CS 2023-03-01
09:55
Fukuoka Kitakyushu International Conference Center
(Primary: On-site, Secondary: Online)
A Study of Switching Methods Using Chaotic Neurodynamics for Solving Multi-Objective Optimization Problem
Toshihiro Tachibana, Touya Suzuki, Takuya Inoue (Shonan Inst. of Tech.), Masaharu Adachi (Tokyo Denki Univ.) CAS2022-97 CS2022-74
We have proposed several methods for solving asymmetric traveling salesman problems and multi-objective optimization pro... [more] CAS2022-97 CS2022-74
pp.6-11
R 2022-12-15
15:20
Online Online Modeling and Formulation for Estimation of Hazardous Event Rate
Yoshinobu Sato (Institute of Healthcare Quality Improvemen) R2022-46
Safety-related risk is defined by use of two characteristics of “severity of harm potentially brought about by a hazardo... [more] R2022-46
pp.13-18
HCGSYMPO
(2nd)
2022-12-14
- 2022-12-16
Kagawa Onsite (Sunport Takamatsu) and Online
(Primary: On-site, Secondary: Online)
Pattern Estimation of Eye Movement during Facial Attractiveness Evaluation
Kazuyuki Asai, Shigeru Akamatsu (Hosei Univ.)
In this study, we analyzed whether there is a relationship between attractiveness evaluation for face images and eye mov... [more]
IN, IA
(Joint)
2022-12-13
11:05
Hiroshima Higashi-Senda campus, Hiroshima Univ.
(Primary: On-site, Secondary: Online)
Finite State VoIP Traffic Model for Variable Voice Payload Size
Tomoyoshi Waki (Tokyo Tech), Sumiko Miyata (SIT), Yoshiaki Kitaguchi (Tokyo Tech), Ken-ichi Baba (KUTE-TOKYO), Katsunori Yamaoka (Tokyo Tech) IN2022-49
In emergencies, telephone calls provide a sense of security because one hears the other person's voice directly. Calls p... [more] IN2022-49
pp.32-38
DC, SS 2022-10-25
10:00
Fukushima  
(Primary: On-site, Secondary: Online)
A note on performance and sensitivity analysis of self-adaptive systems using parametric Markov decision processes
Junjun Zheng, Hiroyuki Nakagawa, Tatsuhiro Tsuchiya (Osaka Univ.) SS2022-21 DC2022-27
This paper considers the sensitivity analysis for a self-adaptive system with uncertain parameters. The system behavior ... [more] SS2022-21 DC2022-27
pp.1-5
R 2022-06-16
14:50
Online Online A Note on Interval Reliability Analysis of Intrusion Tolerant Systems Subject to DoS Attacks
Junjun Zheng (Ritsumeikan Univ.), Hiroyuki Okamura, Tadashi Dohi (Hiroshima Univ.) R2022-8
This paper focuses on the transient behavior of intrusion tolerant systems with preventive maintenance subject to DoS (D... [more] R2022-8
pp.13-18
MSS, NLP 2022-03-29
13:00
Online Online A Relation between Gap and City Layout for Asymmetric Traveling Salesman Problems Using Hidden Markov Models
Toshihiro Tachibana, Tomoya Matsuno (Shonan Inst. of Tech.), Masaharu Adachi (Tokyo Denki Univ.) MSS2021-74 NLP2021-145
We have proposed several methods for solving asymmetric traveling salesman problems and multi-objective optimization pro... [more] MSS2021-74 NLP2021-145
pp.101-104
IBISML 2022-03-09
14:55
Online Online Infinite SCAN: Joint Estimation of Changes and the Number of Word Senses with Gaussian Markov Random Fields
Seiichi Inoue, Mamoru Komachi (TMU), Toshinobu Ogiso (NINJAL), Hiroya Takamura (AIST), Daichi Mochihashi (ISM) IBISML2021-47
In this study, we propose a hierarchical Bayesian model that can automatically estimate the number of senses for each wo... [more] IBISML2021-47
pp.61-68
HCGSYMPO
(2nd)
2021-12-15
- 2021-12-17
Online Online Motion Identification of Physical Exertion using Hidden Markov Model with Combined Information of Skeletal Structure and Range Data
Ryohei Yamazaki, Shigeru Akamatsu (Hosei Univ.)
The purpose of this study is to verify the usefulness of using features that combine skeletal information and distance i... [more]
HCGSYMPO
(2nd)
2021-12-15
- 2021-12-17
Online Online Analysis of Eye Movements during Facial Attractiveness Evaluation based on Hidden Markov Model
Kazuyuki Asai, Shigeru Akamatsu (Hosei Univ.)
In this study, we analyzed whether there is a relationship between attractiveness evaluation for face images and eye mov... [more]
R 2021-10-22
15:25
Online Online A Note on Sensitivity Analysis of Software Rejuvenation Model with Markov Regenerative Process
Junjun Zheng (Ritsumeikan Univ.), Hiroyuki Okamura, Tadashi Dohi (Hiroshima Univ.) R2021-32
This paper considers the parametric sensitivity of a software rejuvenation model for transaction systems. The system beh... [more] R2021-32
pp.13-18
R 2021-05-28
14:10
Online Online A note on local sensitivity analysis of stationary solutions for Markov regenerative processes
Junjun Zheng (Ritsumeikan Univ.), Jiahao Zhang, Hiroyuki Okamura, Tadashi Dohi (Hiroshima Univ.) R2021-4
Because of high power and flexibility, Markov regenerative process (MRGP) is widely used for modeling and evaluating the... [more] R2021-4
pp.19-24
RCS, SR, SRW
(Joint)
2021-03-05
16:30
Online Online [Invited Lecture] A Hazardous Spot Detection Framework by Mobile Sensing and V2V Opportunistic Networks
Yoshito Watanabe, Yozo Shoji (NICT) SR2020-88
This study proposes a framework to detect hazardous spots on roads by combining mobile sensing on commercial-use vehicle... [more] SR2020-88
pp.91-98
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-03
16:45
Online Online An optimal prediction of phoneme under Bayes criterion by weighting multiple hidden Markov models
Taishi Yamaoka, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) EA2020-76 SIP2020-107 SP2020-41
In this paper, we propose a prediction method for prediction problems using a hidden Markov model. Specifically, it is a... [more] EA2020-76 SIP2020-107 SP2020-41
pp.97-102
 Results 1 - 20 of 324  /  [Next]  
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