| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CPSY, DC, IPSJ-ARC [detail] | 2023-08-03 09:25 |
Hokkaido | Hakodate Arena (Primary: On-site, Secondary: Online) |
A Proposal of Selection Guideline for Geographical SMR Protocols Using Communication Pattern-based Response Time Models Koya Shiozaki, Junya Nakamura (Toyohashi Tech)  CPSY2023-9 DC2023-9 |
State Machine Replication (SMR) is a replication method that achieves fault tolerance by duplicating a service. Geograph... [more] | CPSY2023-9 DC2023-9 pp.7-12 |
| CCS, NLP | 2023-06-09 13:55 |
Tokyo | Tokyo City Univ. | Analysis of Vocal and Ventricular Folds Data Using Machine Learning Takumi Inoue, Kota Shiozawa, Isao Tokuda (Rits Univ) NLP2023-24 CCS2023-12 |
Vocal fold vibration is a nonlinear phenomenon in the real world. In humans, vocal folds can produce complex sounds by i... [more] | NLP2023-24 CCS2023-12 pp.49-52 |
| NLP, MSS | 2023-03-17 16:45 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Enhancement of functionality in Deep Echo State Network by optimizing leak rate Shuichi Inoue, Sou Nobukawa (CIT), Haruhiko Nishimura (UOH), Eiji Watanabe (NIBB), Teijiro Isokawa (UOH) MSS2022-110 NLP2022-155 |
Deep echo state network (Deep-ESN) model consists of multiple reservoir layers, which can respond on layer-specific diff... [more] | MSS2022-110 NLP2022-155 pp.231-236 |
| NC, NLP | 2023-01-29 15:55 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Indoor air quality prediction using multi-reservoir echo state network with attention mechanism Wenrui Qiu, Gouhei Tanaka (UTokyo) NLP2022-106 NC2022-90 |
Indoor air quality (IAQ) is a critical matter of concern in terms of its impact on public health and well-being. Researc... [more] | NLP2022-106 NC2022-90 pp.135-140 |
| SeMI, SeMI (Joint) |
2023-01-19 15:05 |
Tokushima | Naruto grand hotel (Primary: On-site, Secondary: Online) |
[Short Paper]
An experimental study on the transition of camera-based human localization to CSI sensing Kanare Kodera, Shoki Ohta, Takayuki Nishio (Tokyo Tech) SeMI2022-81 |
Wi-Fi sensing, represented by CSI (channel state information) sensing~cite{CSIsurvey}, has attracted much attention. Com... [more] | SeMI2022-81 pp.43-48 |
| KBSE | 2022-03-10 13:05 |
Online | Online (Zoom) | A Study of Learner Errors on State Machine Modeling \Based on Eye Information and Editing Logs Takuma Kimura, Ogata Shinpei (Shinshu Univ.), Makihara Erina (Doshisha Univ.), Okano Kozo (Shinshu Univ.) KBSE2021-55 |
In state machine diagram education, learners sometimes make errors when solving modeling tasks. Educators should support... [more] | KBSE2021-55 pp.84-89 |
| CAS, NLP | 2021-10-14 13:00 |
Online | Online | Network Structure and Information Diffusion Models in Social Networking Service Improve Information Retention in Liquid State Machines through Neuronal Activity Modulation Hiromichi Furuya, Toshikazu Samura (Yamaguchi Univ) CAS2021-22 NLP2021-20 |
A Liquid State Machine (LSM) realizes information processing by retaining past information in its recursive structure. T... [more] | CAS2021-22 NLP2021-20 pp.29-34 |
| 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 |
| 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 |
| 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] | |
| 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 |
| 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 |
| 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 |
| 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 |
[Return to Top Page]