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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 103 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
KBSE, SWIM 2021-05-22
14:00
Online Online An Automated Method of Identifying Errors in UML State Machine Diagrams for Generating Educational Feedback -- Focus on the Types of Errors to Be Identified and the Results of Their Identification --
Mitsutada Goshima, Shinpei Ogata (Shinshu Univ.), Erina Makihara (Doshisha Univ.), Kozo Okano (Shinshu Univ.) KBSE2021-10 SWIM2021-10
In learning UML (Unified Modeling Language) state machine diagrams, it is difficult for learners to receive quick educat... [more] KBSE2021-10 SWIM2021-10
pp.56-61
KBSE 2021-03-06
14:25
Online Online KBSE2020-46 In recent years, the use of open source software (OSS) in product software has been increasing in the industrial world, ... [more] KBSE2020-46
pp.71-76
CQ, CBE
(Joint)
2021-01-21
16:00
Online Online [Poster Presentation] Performance Evaluation of Channel State Information Clustering for Wireless LAN-based Object Detection Systems
Eiki Ando, Hiroki Senji, Osamu Muta (Kyushu Univ.), Tomoki Murakami, Shinya Otsuki (former NTT) CQ2020-77
Various object detection schemes utilizing channel state information (CSI) in WLAN systems have been investigated recent... [more] CQ2020-77
pp.68-69
KBSE, SC 2020-11-13
15:00
Online Online + Kikai-Shinko-Kaikan Bldg.
(Primary: Online, Secondary: On-site)
KBSE2020-13 SC2020-17 In order to support the education of UML state machine diagrams, studies are being carried out to analyze learners' erro... [more] KBSE2020-13 SC2020-17
p.26
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
PN, NS, OCS
(Joint)
2020-06-18
15:35
Online Online [Invited Talk] Brain-morphic wireless sensor network
Naoki Wakamiya (Osaka Univ.) NS2020-26
Rapid and universal proliferation of information and communication technologies (ICT) makes information and communicatio... [more] NS2020-26
pp.25-29
CCS 2020-03-26
11:25
Tokyo Hosei Univ. Ichigaya Campus
(Cancelled but technical report was issued)
Reservoir computing using fluid motion
Keita Kohashi, Masanobu Inubushi, Susumu Goto (Osaka Univ.) CCS2019-40
Reservoir computing (RC) is a machine learning method using nonlinear dynamical systems, which is effective for time-ser... [more] CCS2019-40
pp.25-27
KBSE 2020-01-25
15:25
Tokyo Kikai-Shinko-Kaikan Bldg. Speedup of Model-Based Testing for IoT Software Using Virtual Time and State Distribution of Devices
Kotaro Tanabe (Tokyo Univ.), Yoshinori Tanabe (Tsurumi Univ.), Masami Hagiya (Tokyo Univ.) KBSE2019-44
Modbat is a model-based test tool that performs modeling using an extended finite state automaton(EFSM). In this study, ... [more] KBSE2019-44
pp.37-42
QIT
(2nd)
2019-11-18
13:50
Tokyo Gakushuin University [Poster Presentation] Experimental quantum kernel machine learning with solid state NMR
Takeru Kusumoto, Kosuke Mitarai, Makoto Negoro, Keisuke Fujii, Masahiro Kitagawa (Osaka Univ.)
We employ so-called quantum kernel estimation to exploit complex quantum dynamics of solid-state NMR for machine learnin... [more]
MIKA
(2nd)
2019-10-03
14:05
Hokkaido Hokkaido Univ. [Invited Lecture] Traffic Analysis Empowered by Machine Learning for Estimating Context of IoT Application
Anan Sawabe, Takanori Iwai (NEC)
We have observed the emergence of various Internet of Things (IoT) use cases, such as remote robot control, over the las... [more]
CPSY, DC, IPSJ-ARC [detail] 2019-07-26
18:30
Hokkaido Kitami Civic Hall Exhaustive Replica Deployment Evaluation in Geographic State Machine Replication using a Customizable Evaluation Function
Shota Numakura, Junya Nakamura, Ren Ohmura (TUT) CPSY2019-40 DC2019-40
Geographic state machine replication (SMR) is a replication method in which replicas of a service are located on multipl... [more] CPSY2019-40 DC2019-40
pp.241-246
ET 2019-05-18
10:30
Toyama University of Toyama Proposal of UML Programing Environment for ICT Relaed Subject at Junior High School
Shunya Hara, Mizue Kayama, Takahisa Nakano (Shinshu Univ.), Takashi Nagai (IOT), Naomi Taguchi (Harutomi j.h.s) ET2019-1
The purpose of this study is to explore educational learning environment for UML programming at ICT related subjects in ... [more] ET2019-1
pp.1-6
LOIS 2019-03-07
10:20
Okinawa Miyakojima-shi Central Community Center State Transition Machine As Coordination Message In Everyday Life Errands
Keiko Shimokoriyama, Chihiro Tsutsumi, Ken Nakayama (Tsuda Univ.) LOIS2018-57
When asking others to do some task, the task is described as a document in a natural language. Despite a task usually c... [more] LOIS2018-57
pp.13-18
KBSE 2019-01-26
10:05
Tokyo NII Towards IoT software testing with model-based testing tool Modbat
Kotaro Tanabe (Univ. Tokyo), Yoshinori Tanabe (Tsurumi Univ.), Masami Hagiya (Univ. Tokyo) KBSE2018-44
Modbat is a tool for model-based testing, and it uses extended finite state machines for modeling.
In previous research... [more]
KBSE2018-44
pp.9-14
SSS 2018-12-18
15:50
Tokyo   Validity of the requirements in machinery-sector international standards concerning the safe stop
Ko Kawashima (Oriental Motor), Yoshinobu Sato (Nerima Hospital) SSS2018-29
The machinery operated in common space with humans including personal care and collaborative operation robots will be re... [more] SSS2018-29
pp.17-20
NC, MBE
(Joint)
2018-12-15
11:15
Aichi Nagoya Institute of Technology Consideration on structural properties contributing to discrimination in Liquid State Machine
Tatsuro Sakaguchi, Naoki Wakamiya (Osaka Univ.) NC2018-30
Liquid State Machine (LSM) is one of reservoir computing models and due to universal computing capability its applicati... [more] NC2018-30
pp.11-16
QIT
(2nd)
2018-11-26
09:50
Tokyo The University of Tokyo Non-Uniform State Complexity of Quantum Finite Automata and Quantum Polynomial-Time Logarithmic-Space Computation with Quantum Advice -- (Preliminary Report) --
Tomoyuki Yamakami (U of Fukui)
The state complexity of a finite(-state) automaton intuitively measures the size of the description of the automaton. Sa... [more]
ET 2018-11-10
14:00
Tokyo Tokyo Polytechnic University Proposal of UML programming environment for ICT related subject at junior high school
Shunya Hara (Shinshu Univ.), Mizue Kayama, Takahisa Nakano (Shinshu Univ), Takashi Nagai (IOT) ET2018-59
The purpose of this study is to explore educational learning environment for UML programming at ICT related subjects in ... [more] ET2018-59
pp.33-38
KBSE, SC 2018-11-10
14:00
Hyogo   An Investigation and Analysis of UML State Machine Diagrams in Large Classes
Shinpei Ogata, Mizue Kayama, Kozo Okano (Shinshu Univ.) KBSE2018-41 SC2018-36
In this paper, we reports on the result of an investigation and analysis of many answer models for a modeling task towar... [more] KBSE2018-41 SC2018-36
pp.77-82
 Results 21 - 40 of 103 [Previous]  /  [Next]  
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