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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 #
PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM 2024-01-25
14:40
Kanagawa Keio Univ. (Hiyoshi Campus) Efficient exploration with intrinsic motivation considering state transitions in deep reinforcement learning
Kaito Ohshika, Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi (Chubu Univ.) PRMU2023-42
In deep reinforcement learning, learning data is collected through the interaction between the agent and the environment... [more] PRMU2023-42
pp.14-19
KBSE, IPSJ-SE, SS [detail] 2021-07-08
14:15
Online Online (Zoom) Extraction method for transition relations from conditional statements in natural language requirements specifications
Maiko Onishi (Ochanomizu Univ.), Hiroya Ii, Shinpei Ogata, Kozo Okano (Shinshu Univ.), Daisuke Bekki (Ochanomizu Univ.) SS2021-5 KBSE2021-17
In software development, it is generally known that detecting defects at an early stage of the process reduces rework an... [more] SS2021-5 KBSE2021-17
pp.25-30
CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] 2021-03-26
11:40
Online Online A Controller Augmentation method to Improving Transition Fault Coverage
Kyohei Iizuka, Toshinori Hosokawa, Hiroshi Yamazaki (Nihon Univ), Masayoshi Yoshimura (Kyoto Sangyo Univ) CPSY2020-63 DC2020-93
With shrinking feature sizes, growing clock frequencies, and decreasing power supply voltage, modern VLSIs are increasin... [more] CPSY2020-63 DC2020-93
pp.79-84
KBSE, SC 2020-11-13
15:04
Online Online + Kikai-Shinko-Kaikan Bldg.
(Primary: Online, Secondary: On-site)
[Poster Presentation] Prototype Tool to Detect Difference between State Machine Diagrams toward Automation of Providing Educational Feedback to Learners
Mitsutada Goshima, Shinpei Ogata (Shinshu Univ.), Erina Makihara (Doshisha Univ.), Kozo Okano (Shinshu Univ.) KBSE2020-15 SC2020-19
State machine diagrams in UML are useful for system development and other purposes because they represent discrete behav... [more] KBSE2020-15 SC2020-19
p.30
CPSY, DC, IPSJ-ARC [detail] 2020-07-31
17:30
Online Online An Area Reduction Oriented Controller Augmentation Method Based on Functionally Equivalent Finite State Machine Generation
Atsuya Tsujikawa, Toshinori Hosokawa (Nihon Univ.), Masayoshi Yoshimura (Kyoto Sangyo Univ.) CPSY2020-15 DC2020-15
In recent year, controller augmentation has been used for design-for-testability and design-for-security at register tra... [more] CPSY2020-15 DC2020-15
pp.93-98
DC 2019-02-27
14:30
Tokyo Kikai-Shinko-Kaikan Bldg. A Compaction Method for Test Sensitization State in Controllers
Yuki Ikegaya, Yuta Ishiyama, Toshinori Hosokawa, Hiroshi Yamazaki (Nihon Univ.) DC2018-80
One of the challenges on VLSI testing is to reduce the area overhead of design-for-testability and to increase the fault... [more] DC2018-80
pp.55-60
KBSE, SS, IPSJ-SE [detail] 2018-07-18
11:05
Hokkaido   A Fault Diagnosis of A Distributed Cooperative System by Learning State Transitions
Yosuke Watanabe (Nagoya Univ.), Shuichi Sato (TCRDL), Hiroyuki Seki, Shoji Yuen (Nagoya Univ.) SS2018-3 KBSE2018-13
Due to the spread of IoT and the development of connected cars, it is common for a system to be composed of many coopera... [more] SS2018-3 KBSE2018-13
pp.13-18
KBSE, SS, IPSJ-SE [detail] 2016-07-13
10:50
Hokkaido   Extracting State Transition Tables from an Embedded Software System
Ryota Yamamoto, Norihiro Yoshida (Nagoya Univ.), Akihiko Takeda (JASA), Nobuyuki Tachi, Hiroaki Takada (Nagoya Univ.) SS2016-3 KBSE2016-9
It is hard to understand legacy code for an embedded software system. It leads much cost for maintaining and reusing the... [more] SS2016-3 KBSE2016-9
pp.13-18
KBSE, SS, IPSJ-SE [detail] 2016-07-13
15:10
Hokkaido   SMart-Learning: Tools for DSL-based UML State Machine Diagram Learning
Shinpei Ogata, Kozo Okano (Shinshu Univ.) SS2016-5 KBSE2016-11
State machine diagram learning has been important depending on increasing demand for IoT or embedded systems. One of the... [more] SS2016-5 KBSE2016-11
pp.49-54
PRMU, CNR 2016-02-21
14:30
Fukuoka   Estimation of state transitions for multiparty turn-taking
Tatsuya Era, Hiroki Yoshimura, Masashi Nishiyama, Yoshio Iwai (Tottori Univ.) PRMU2015-139 CNR2015-40
(To be available after the conference date) [more] PRMU2015-139 CNR2015-40
pp.43-48
SP 2015-10-16
10:00
Hyogo Kobe Univ. Evaluation of Parallel POMDP based on State Space Partition and State Transition Learning
Yoji Yamada, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) SP2015-66
Significant problems with Partially Observable Markov Decision Process (POMDP) lie in a large number of states, causing ... [more] SP2015-66
pp.39-43
ISEC 2015-09-04
11:45
Tokyo Kikai-Shinko-Kaikan Bldg. An extension of cryptographic protocol in distributed in-memory caching system
Ruo Ando (NICT) ISEC2015-28
Recent distributed system adopts object caching subsystem in order to achieve scalability. In many cases, its transactio... [more] ISEC2015-28
pp.21-26
KBSE, SS, IPSJ-SE [detail] 2014-07-11
13:10
Hokkaido Furano-Bunka-Kaikan On Coverage Criteria for State Transition Testing and Model Checker-Based Test Case Generation
Cassia de Souza Carvalho, Tatsuhiro Tsuchiya (Osaka Univ.) SS2014-23 KBSE2014-26
State Transition Testing is an important category of software testing.
Our work in progress focuses on a coverage crit... [more]
SS2014-23 KBSE2014-26
pp.149-154
ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] 2014-02-17
16:00
Hokkaido Hokkaido Univ. Analysis of Peripheral Vehicular State in Driver's Gaze Transition -- Difference between Driver's Neutral and Distraction State --
Shota Sato, Takatsugu Hirayama, Kenji Mase, Chiyomi Miyajima, Kazuya Takeda (Nagoya Univ.) ITS2013-48 IE2013-113
Methods for detecting distraction using driver's gaze have been proposed to support safe driving of the vehicle.
These... [more]
ITS2013-48 IE2013-113
pp.105-110
SS, KBSE 2013-07-25
16:40
Hokkaido   Modeling Smartphone Apps Using State Machine Diagrams
Kyosuke Ochimizu, Tomoyuki Yokogawa (Okayama Prefectural Univ.), Hisashi Miyazaki (KUMW), Yoichiro Sato, Kazutami Arimoto (Okayama Prefectural Univ.) SS2013-21 KBSE2013-21
In this paper, we propose a method for modeling smartphone apps using
UML state machine diagrams.
We focused on a tap ... [more]
SS2013-21 KBSE2013-21
pp.49-54
MBE, NC
(Joint)
2012-03-15
09:50
Tokyo Tamagawa University Stochastic State Transitions in Recurrent Neural Networks with Sparse Asymmetric Connections
Koretaka Ogata, Takuma Tanaka, Kiyohiko Nakamura (Tokyo Tech) NC2011-149
Recently many studies have reported that neurons form clustered structures in neocortical microcircuits more than expect... [more] NC2011-149
pp.165-169
PRMU, FM 2011-12-16
16:30
Shizuoka Hamamatsu Campus, Shizuoka Univ. Nonparametric Bayesian State Estimation by Detecting Change Points and Sharing Segments on Time Series Data
Masamichi Shimosaka, Yuichi Moriya, Rui Fukui, Tomomasa Sato (Univ. of Tokyo) PRMU2011-145
In this paper, we propose a novel framework for estimating state spaces where the size is unknown. The proposed framewor... [more] PRMU2011-145
pp.119-124
SWIM 2011-11-18
16:25
Tokyo Tokai Univ.(Takanawa) Consistency Analysis between UML State Machine and Activity Diagrams
Masato Nomura, Yoshiyuki Shinkawa (Ryukoku Univ.) SWIM2011-29
UML activity diagram represents the behavior of a process including interactions between objects. On the other hand, sta... [more] SWIM2011-29
pp.65-70
RCS, NS
(Joint)
2011-07-21
14:55
Hokkaido Asahikawa Civic Culture Hall A State Transition Control Method Based on Interval of Mobility and Communication of a Mobile Terminal
Takanori Iwai, Hiroshi Yoshida, Yasuhiro Mizukoshi (NEC) NS2011-51
A huge number of control signals that are sent by mobile terminals burden a mobile network. This is because that the mob... [more] NS2011-51
pp.7-12
MSS, CAS 2010-11-19
15:20
Osaka Kansai Univ. A Study of a Symbolic Encoding Method for Bounded Model Checking of UML State Machines with Synchronous and Asynchronous Transitions
Hayato Niimura, Toshiyuki Miyamoto (Osaka Univ.) CAS2010-80 CST2010-53
Recently, Bounded Model Checking has received attention as a SAT-based symbolic model checking technique. The basic idea... [more] CAS2010-80 CST2010-53
pp.83-88
 Results 1 - 20 of 33  /  [Next]  
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