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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 33  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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 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
EMCJ 2021-07-01
15:00
Online Online Proposals of Magnetic Field Probes for Detecting the ESD Current
Ryota Kobayashi, Tsuyoshi Kobayashi, Yuichi Sasaki (Mitsubishi Electric) EMCJ2021-21
EMC designs and countermeasures are significant as the performance of the electronic equipment becomes higher and the sy... [more] EMCJ2021-21
pp.24-29
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
R 2020-12-11
15:15
Online Online A Note on Variance-Based Sensitivity Analysis for Continuous-Time Markov Chains Based on Moment Approximation
Jiahao Zhang (Hiroshima Univ.), Junjun Zheng (Ritsumeikan Univ.), Hiroyuki Okamura, Tadashi Dohi (Hiroshima Univ.) R2020-33
Sensitivity analysis plays a critical role in quantifying uncertainty in the design of computer systems. In particular, ... [more] R2020-33
pp.18-23
R 2020-06-11
14:50
Online Online A Note on Uncertainty Propagation for Phase Expanded Models
Jiahao Zhang (Hiroshima Univ.), Junjun Zheng (Ritsumeikan Univ.), Hiroyuki Okamura, Tadashi Dohi (Hiroshima Univ.) R2020-3
Uncertainty propagation is to investigate the effect of errors in model input parameters on the system output measure in... [more] R2020-3
pp.13-19
NLP 2020-05-15
11:00
Online Online FitzHugh-Nagumo equation can describe the temporal frequency response in the human vision system
Atsushi Osa (Yamaguchi Univ.), Masaru Suzuki (BraCare Genetics), Koki Otaka (KOSEN, Hiroshima Col.), Hidetoshi Miike (Yamaguchi Gakugei Univ.) NLP2020-1
In human vision, the perception of flicker stimuli depends upon the frequency of the flicker. Moreover, when our vision ... [more] NLP2020-1
pp.1-5
RCS, SIP, IT 2019-01-31
12:55
Osaka Osaka University Minimization of L2-Sensitivity for State-Space Digital Filters Using LMI
Hiroki Ishihara, Shuichi Ohno (Hiroshima Univ.) IT2018-46 SIP2018-76 RCS2018-253
In implementing a system given by a state space representation of a linear time invariant system, the system may change ... [more] IT2018-46 SIP2018-76 RCS2018-253
pp.67-70
SANE 2019-01-25
13:00
Nagasaki Nagasaki Prefectural Art Museum Effects of Input Data Uncertainties on an Air Traffic Control Difficulty Index
Sakae Nagaoka, Mark Brown (ENRI/MPAT), Daniel Delahaye (ENAC) SANE2018-104
Recent modernization of air traffic management systems promotes aviation towards trajectory based operations and perform... [more] SANE2018-104
pp.81-86
SANE 2018-11-08
13:50
Overseas China (Xuchang) L-band bistatic radar returns from bare soils: a simulation study for soil moisture retrieval using global sensitivity analysis method
Jiangyuan Zeng, Kun-Shan Chen (RADI/CAS) SANE2018-57
In this paper, an attempt is made to identify the optimal bistatic configurations for the retrieval of bare soil moistur... [more] SANE2018-57
pp.11-16
SANE 2018-11-08
16:50
Overseas China (Xuchang) An Information Entropy-Based Sensitivity Analysis of Radar Sensing of Rough Surface
Yu Liu (CAS/Xu Chang University), Kun-Shan Chen (Xu Chang University/CAS) SANE2018-88
We apply Shannon entropy, an information content measure, in sensitivity analysis (SA), stemming from the fact that the ... [more] SANE2018-88
p.163
IA, SITE, IPSJ-IOT [detail] 2018-03-05
15:20
Tochigi Kinugawa Onsen Hotel Proposal of Restrained Epidemic Routing on DTN
Yuma Sato (KGKwansei Gakuin Univ), Natsuko Kawabata, Yasuhiro Yamasaki, Hiroyuki Ohsaki (Kwansei Gakuin Univ) SITE2017-69 IA2017-80
In order to realize an efficient message routing, it is necessary to
quickly deliver the message to the destination nod... [more]
SITE2017-69 IA2017-80
pp.127-132
DC 2018-02-20
14:25
Tokyo Kikai-Shinko-Kaikan Bldg. A Golden-Free Hardware Trojan Detection Technique Considering Intra-Die Variation
Fakir Sharif Hossain, Tomokazu Yoneda, Michihiro Shintani, Michiko Inoue (NAIST), Alex Orailoglu (Univ. of California, San Diego) DC2017-84
High detection sensitivity in the presence of process variation is a key challenge for hardware Trojan detection through... [more] DC2017-84
pp.43-48
QIT
(2nd)
2017-05-29
15:00
Kyoto Ritesumeikan University, Suzaku Campus [Poster Presentation] Sensitivity analysis of multi-stage quantum feedback amplifier
Yu Yokotera, Naoki Yamamoto (Keio Univ.)
An amplifier is one of the basic devices for the signal processing, and is also important in the quantum information sci... [more]
VLD 2017-03-02
16:15
Okinawa Okinawa Seinen Kaikan An algorithm to compute covariance for finding distribution of the maximum
Daiki Azuma, Shuji Tsukiyama (Chuo Univ.), Masahiro Fukui (Ritsumeikan Univ.), Takashi Kambe (Kinki Univ.) VLD2016-121
In statistical approaches such as statistical static timing analysis, the distribution of the maximum of plural distribu... [more] VLD2016-121
pp.103-108
PRMU, IPSJ-CVIM, IBISML [detail] 2016-09-06
10:45
Toyama   A proposal on quick sensitivity analysis of empirical risk minimization problems
Hiroyuki Hanada, Atsushi Shibagaki (NITech), Jun Sakuma (Univ. of Tsukuba), Ichiro Takeuchi (NITech) PRMU2016-80 IBISML2016-35
For a training data set consisting of $n$ vectors of $d$ dimensions, we consider obtaining a training result from it by ... [more] PRMU2016-80 IBISML2016-35
pp.203-210
SRW 2016-06-13
13:55
Kanagawa NICT Wireless Network Research Institute (NICT) Improvement of Detection Sensitivity for BPSK Signals
Tatsuya Kikuzuki, Akihiro Wada, Teruhisa Ninomiya (Fujitsu Labs.) SRW2016-28
As IoT (Internet of Things) systems become widespread, data communication may often be disturbed because of radio freque... [more] SRW2016-28
pp.15-20
VLD 2016-03-01
11:20
Okinawa Okinawa Seinen Kaikan Timing-error-tolerant AES Cipher
Shinnosuke Yoshida, Youhua Shi, Masao Yanagisawa, Nozomu Togawa (Waseda Univ.) VLD2015-123
With the technologies advance, the importance of crypto circuits is increasing as well. AES cipher is well known as theo... [more] VLD2015-123
pp.73-78
VLD 2016-03-02
13:25
Okinawa Okinawa Seinen Kaikan An Algorithm for Reducing Components of a Gaussian Mixture Model 2 -- A Method for Calculating Sensitivities --
Daiki Azuma, Shuji Tsukiyama (Chuo Univ.), Masahiro Fukui (Ritsumeikan Univ.), Takashi Kambe (Kinki Univ.) VLD2015-139
In statistical methods, such as statistical static timing analysis (S-STA), Gaussian mixture model (GMM) is a useful too... [more] VLD2015-139
pp.161-166
R 2013-05-17
11:55
Hiroshima   A Note on Sensitivity of Transient Solutions of Continuous-Time Markov Chains
Junjun Zheng, Hiroyuki Okamura, Tadashi Dohi (Hiroshima Univ.) R2013-5
This paper considers the parametric sensitivity analysis of continuous-time Markov chains (CTMCs). The sensitivity analy... [more] R2013-5
pp.25-29
 Results 1 - 20 of 33  /  [Next]  
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