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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NS | 2024-05-09 14:15 |
Mie | Sinfonia Technology Hibiki Hall Ise (Primary: On-site, Secondary: Online) |
[Encouragement Talk]
Improvement on the Dueling Networks Architecture for GNN in the Deep Reinforcement Learning for the Automated ICT System Design Tianchen Zhou (Sophia Univ.), Yutaka Yakuwa (NEC), Natsuki Okamura, Hiroyuki Hochigai (Sophia Univ.), Takayuki Kuroda (NEC), Ikuko E. Yairi (Sophia Univ.)  NS2024-16 |
(To be available after the conference date) [more] | NS2024-16 pp.17-22 |
| NS, RCS (Joint) |
2023-12-14 16:50 |
Fukuoka | Kyushu Institute of Technology Tobata campus, and Online (Primary: On-site, Secondary: Online) |
Dueling Networks Architecture in the Deep Reinforcement Learning for the Automated ICT System Design Tianchen Zhou (Sophia Univ.), Yutaka Yakuwa (NEC), Natsuki Okamura, Hiroyuki Hochigai (Sophia Univ.), Takayuki Kuroda (NEC), Ikuko E. Yairi (Sophia Univ.) NS2023-135 |
This paper presents a reinforcement learning based approach for the design of ICT systems. The automated ICT system desi... [more] | NS2023-135 pp.54-59 |
| SS, DC | 2023-10-11 15:20 |
Nagano | (Primary: On-site, Secondary: Online) |
Efficient Automatic Classification of Non-Functional Requirements in Information Systems Using Deep Learning
-- A Comparative Accuracy Analysis between BERT and GPT-2 -- Kazuhiro Mukaida (Shinshu Univ.), Seiji Fukui, Takeshi Nagaoka, Takayuki Kitagawa (TOSHIBA), Shinpei Ogata, Kozo Okano (Shinshu Univ.) SS2023-23 DC2023-29 |
Recent Advancements in deep learning are increasingly enabling the automation of classifying non-functional requirements... [more] | SS2023-23 DC2023-29 pp.13-18 |
| SANE | 2023-08-18 15:40 |
Hokkaido | (Primary: On-site, Secondary: Online) |
Basic Study for Assist and Automation of PAPI Inspection by Drone using Machine Learning Atsushi Kezuka, Munehiko Takashima, Junichi Honda (ENRI) SANE2023-46 |
PAPI (Precision Approach Path Indicator) is a lighting system composed of four lights and installed beside a runway to i... [more] | SANE2023-46 pp.70-73 |
| ICM | 2023-03-17 09:10 |
Okinawa | Okinawa Prefectural Museum and Art Museum (Primary: On-site, Secondary: Online) |
Automation of human decision making by using reinforcement-learning for office work with PC Misa Fukai, Masashi Tadokoro, Haruo Oishi (NTT) ICM2022-50 |
AI technology is a key which improve diversified and complex business with saving personnel. However, the technologies c... [more] | ICM2022-50 pp.31-36 |
| NLP, MSS | 2023-03-16 13:00 |
Nagasaki | (Primary: On-site, Secondary: Online) |
[Invited Talk]
Applying Machine Learning to Social Applications
-- Attempts toward automation of tasks related to medical care, disaster prevention, and steel bridge maintenance -- Noritaka Shigei (Kagoshima Univ.), Yoichi Ishizuka, Satoshi Sugimoto (Nagasaki Univ.), Chihiro Morita (Univ. of Miyazaki), Masanobu Miyazaki (Miyazaki Medical Clinic), Shinichi Abe, Tomoya Nishino (Nagasaki University Hospital), Hiromi Miyajima (Kagoshima Univ.) MSS2022-86 NLP2022-131 |
In various fields of society, the utilization of machine learning (ML) for efficiency and automation is rapidly advancin... [more] | MSS2022-86 NLP2022-131 p.120 |
| IBISML | 2022-12-22 16:35 |
Kyoto | Kyoto University (Primary: On-site, Secondary: Online) |
Implementation and evaluation of Noisy Nets to Reinforcement learning of Automated Designing ICT System Tianchen Zhou (Sophia Univ.), Yutaka Yakuwa (NEC), Natsuki Okamura (Sophia Univ.), Takayuki Kuroda (NEC), Ikuko E. Yairi (Sophia Univ.) IBISML2022-50 |
This paper introduces a reinforcement learning method for the ICT system design process. Since the state space of the de... [more] | IBISML2022-50 pp.46-53 |
| SS | 2022-03-07 11:20 |
Online | Online | Trace Ablation and Fault Localization per Method Using Machine Learning Models for Automatic Classification of Test Execution Results Takuma Ikeda, Kozo Okano, Shinpei Ogata (Shinshu Univ.), Shin Nakajima (NII) SS2021-44 |
The problem to solve automatically classifying the results of test executions is called the test oracle problem. This is... [more] | SS2021-44 pp.13-18 |
| VLD, HWS [detail] | 2022-03-07 15:55 |
Online | Online | A Force-Haptic Guided Control System for Smooth Manipulation of Flexible Objects by Teleoperated Robots Satoko Iida, Hiromitu Awano (Kyoto Univ.) VLD2021-89 HWS2021-66 |
Discovery of deep neural networks (DNNs) has led to the automation of intellectual tasks that used to be carried out by ... [more] | VLD2021-89 HWS2021-66 pp.69-74 |
| ICM | 2022-03-04 13:50 |
Online | Online | A Study on Network Fault Recovery Framework with Reinforcement Learning Tatsuji Miyamoto (KDDI Research, Inc./Osaka Univ.), Genichi Mori (KDDI Research, Inc.), Yusuke Suzuki (KDDI), Tomohiro Otani (KDDI Research, Inc.), Junji Takemasa, Yuki Koizumi, Toru Hasegawa (Osaka Univ.) ICM2021-54 |
Network operator automates failure recovery operation with implementing programs for each service and failure case. Howe... [more] | ICM2021-54 pp.63-67 |
| SS, MSS | 2022-01-12 09:15 |
Nagasaki | Nagasakiken-Kensetsu-Sogo-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Execution-trace embedding using word-proximity metric for a method to automatically classify test results Takuma Ikeda, Kozo Okano, Shinpei Ogata (Shinshu Univ.), Shin Nakajima (NII) MSS2021-46 SS2021-33 |
The problem to solve automatically classifying the results of test executions is called the test oracle problem. This is... [more] | MSS2021-46 SS2021-33 pp.83-88 |
| CQ, ICM, NS, NV (Joint) |
2021-11-26 17:05 |
Fukuoka | JR Hakata Stn. Hakata EkiHigashi Rental Room (Primary: On-site, Secondary: Online) |
A Vectorization Method for Device Alarms with High Generalization Performance for AI Application to NW Operations Ryosuke Sato, Mizuto Nakamura, Seiji Sakuma, Atsushi Takada, Kyoko Yamagoe (NTT) ICM2021-32 |
The automation of network operation(NWOP) has been progressing, Recently, AI using machine learning models such as neura... [more] | ICM2021-32 pp.49-54 |
| SS, DC | 2021-10-19 13:55 |
Online | Online | Predict failure of test case generation Ryo Soga, Hideyuki Kanuka (Hitachi, Ltd.) SS2021-14 DC2021-19 |
The automation tools for improving productivity of software development are abandoned at times due to lower-than-expecte... [more] | SS2021-14 DC2021-19 pp.7-12 |
| RCS, SR, NS, SeMI, RCC (Joint) |
2021-07-16 14:55 |
Online | Online | [Invited Lecture]
Machine Learning based Automatic Command Control System for Fault Diagnosis of Communication Services Hiroshi Yamauchi (SoftBank), Tatsuaki Kimura (Osaka Univ.) RCC2021-40 NS2021-56 RCS2021-98 SR2021-40 SeMI2021-29 |
Due to the recent growth of various network services of telecommunication carriers, their communication networks have be... [more] | RCC2021-40 NS2021-56 RCS2021-98 SR2021-40 SeMI2021-29 pp.83-87(RCC), pp.124-128(NS), pp.104-108(RCS), pp.106-110(SR), pp.82-86(SeMI) |
| SC | 2021-03-19 10:40 |
Online | Online | Study of Event Monitoring Technique Using Machine Learning for IT Operations
-- Study of AI for IT Ops -- Takashi Tameshige, Yasuyuki Tamai, Mineyoshi Masuda, Koichi Murayama (Hitachi) SC2020-34 |
In the normal event arrival confirmation which is an IT operator business, IT operator confirms that IT system is runnin... [more] | SC2020-34 pp.7-12 |
| ICM | 2021-03-19 14:45 |
Online | Online | Method study and proposal of workflow engine for automation using AI Ryosuke Sato, Mizuto Nakamura, Atsushi Takada, Toshihiko Seki, Kyoko Yamagoe (NTT) ICM2020-76 |
The introduction of AI is being considered in NW operation. It is expected to automate atypical failures involving compl... [more] | ICM2020-76 pp.92-97 |
| ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2020-02-27 14:15 |
Hokkaido | Hokkaido Univ. (Cancelled but technical report was issued) |
Translation from Line Drawings to Manga Using Deep Learning by Adding a Screentone Layer Koki Tsubota, Daiki Ikami, Kiyoharu Aizawa (UTokyo) ITS2019-38 IE2019-76 |
The translation from line drawings to manga is one of the processes for creating manga and the automation of this proces... [more] | ITS2019-38 IE2019-76 pp.201-206 |
| RISING (2nd) |
2019-11-26 10:30 |
Tokyo | Fukutake Learning Theater, Hongo Campus, Univ. Tokyo | [Invited Lecture]
Autonomic Resource Management in Service Function Chaining Platform Takahiro Hirayama (NICT) |
Service function chaining (SFC) is a framework for the placement of virtual network functions (VNFs) required for proces... [more] | |
| AI, IPSJ-ICS, JSAI-KBS, JSAI-DOCMAS, JSAI-SAI | 2019-03-09 17:20 |
Hokkaido | Please fill in Fumiya Kudo (SyntheMec), Souichiro Yokoyama, Tomohisa Yamashita, Hidenori Kawamura (Hokudai) AI2018-58 |
Although inspection of defective products is generally conducted visually at the manufacturing site of industrial produc... [more] | AI2018-58 pp.31-36 |
|
| ICM | 2019-03-08 15:40 |
Okinawa | [Encouragement Talk]
Detecting Dependency between Modules of Deployment Automation Tool Using Reinforcement Learning Exploration Log Manabu Nakanoya (NEC) ICM2018-70 |
Under the evolution of the computing and the network virtualization technologies, deployment and configuration software ... [more] | ICM2018-70 pp.117-122 |
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