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All Technical Committee Conferences  (Searched in: Recent 10 Years)

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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 16 of 16  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
AIT, IIEEJ, AS, CG-ARTS 2025-03-10
10:35
Tokyo Tokyo Polytechnic Univ. (Nakano) Mitigation of Repeated Retry Stress by Granting Items According to Game Over Situations
Shintaro Ishikawa, Wataru Kurihara, Yoshihisa Kanematsu, Koji Mikami (TUT)
In recent years, as the difficulty of games has increased, there has been an increase in cases where players feel stress... [more] AIT2025-114
pp.268-271
HI, IEICE-HIP, ASJ-H, VRPSY [detail] 2022-02-27
10:20
Online on line Study of Stress Relief Service for Elderly People at Home Using Videos
Hiro Horie, Sinan Chen, Masahide Nakamura (Kobe Univ.), Kiyoshi Yasuda (OIT)
In recent years, Japan has been facing a super-aging society, and the number of elderly people living at home (including... [more]
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
13:15
Online online A Note on Improvement of Accuracy in Classification of Distress Images for Efficient Inspection of Road Structures -- Introduction of Ratio of Similar Cases Based on Text Data --
Taisei Hirakawa, Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
In this paper, we propose a method for correcting the results of distress image classification using text data recorded ... [more] MMS2022-8 ME2022-33 AIT2022-8
pp.43-48
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
14:40
Online online A Note on Inspection Action Classification Using First and Third Person Video of Engineers Inspecting Bridges
Tsuyoshi Masuda, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
In this paper, we propose an inspection action classification method using first and third person videos of engineers in... [more] MMS2022-25 ME2022-50 AIT2022-25
pp.177-180
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-22
16:45
Online online A Note on Accurate Distress Classification Using Deep Learning Considering Confidence in Attention map
Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a note on accurate distress classification using deep learning considering confidence in attention m... [more] MMS2022-33 ME2022-58 AIT2022-33
pp.371-376
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-22
17:00
Online online A Note on Distress Detection based on Deep Learning with Hierarchical Multi-Scale Attention Mechanism for Supporting Maintenance of Subway Tunnels
Saya Takada, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
In maintenance of transportation infrastructures, advanced support technologies that can reduce the burden on engineers ... [more] MMS2022-34 ME2022-59 AIT2022-34
pp.377-381
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2021-02-18
10:20
Online Online A Note on Improving Performance of Deep Learning-based Distress Detection for Supporting Maintenance of Subway Tunnels -- Accuracy Verification Focusing on Tunnel Wall Characteristics --
Tomoki Haruyama, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents the performance improvement of deep learning-based distress detection to support the maintenance of ... [more] MMS2021-1 ME2021-1 AIT2021-1
pp.1-6
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2021-02-18
11:35
Online Online A Note on Accurate Distress Image Classification of Road Structures Using Attention Map based on Text Data
Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a correlation-aware attention branch network (CorABN) using multi-modal data for deterioration level... [more] MMS2021-4 ME2021-4 AIT2021-4
pp.17-21
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-27
14:15
Hokkaido Hokkaido Univ.
(Cancelled)
A note on detection of distress regions in subway tunnels by using U-net based network
An Wang, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ)
This paper presents an automated distress region detection method using subway tunnel images. We previously proposed a m... [more] MMS2020-14 HI2020-14 ME2020-42 AIT2020-14
pp.69-72
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] 2019-02-20
09:45
Hokkaido Hokkaido Univ. Performance Verification of Stress Detection Using a High-performance Wristband with Multi-sensing
Yoshiki Ito, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Stress increases the risk of physical and psychological illnesses. When individuals get stressed, it is important to red... [more] MMS2019-28 HI2019-28 ME2019-50 AIT2019-28
pp.269-274
IST 2018-11-28
16:30
Tokyo Tamachi Campus, TITECH [Poster Presentation] A real-time stress monitoring system using a high sensitivity camera
Leyi Tan, Masashi Hakamata, Chen Cao, Keiichiro Kagawa (Shizuoka univ), Norimichi Tsumura (Chiba univ), Shoji Kawahito (Shizuoka univ)
Main contribution of this paper is we introduced a real-time stress monitoring system which could estimate heart rate an... [more] IST2018-67
pp.17-18
IEICE-ITS, IEICE-IE, MMS, HI, ME, AIT [detail] 2018-02-15
15:30
Hokkaido Hokkaido Univ. A note on accurate retrieval of similar inspection records based on canonical correlation between eye tracking data and inspection records
Ryota Saito, Sho Takahashi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a retrieval method of similar inspection records introducing Canonical Correlation Analysis (CCA) be... [more] MMS2018-20 HI2018-20 ME2018-20 AIT2018-20
pp.195-200
AIT, IIEEJ, AS, CG-ARTS 2017-03-14
11:15
Tokyo Ochanomizu Univ. Proposal of Stress Coping Contents using AR for Hospitalized Children
Rio Takimoto, Miki Urano (TUT), Tomoko Sumiyoshi (NU), Akira Okazaki (TU), Tsukasa kikuchi (TUT)
Children who are hospitalized are threatened by various things such as pain for treatment and anxiety about hospitalized... [more] AIT2017-83
pp.133-134
IDY 2017-02-24
14:55
Tokyo Kikai-Shinko-Kaikan Bldg. [Invited Talk] Cutting Method for Electronic Device Made Using Ultrathin Glass
Naotoshi Inayama, Shinkichi Miwa, Takahide Fujii (NEG)
The simultaneous laser thermal stress cutting method (SLTSC) has been newly developed as cutting methods for an electron... [more] IDY2017-21
pp.15-18
CE, MMS, AIT, HI, ME, IEICE-ITS, IEICE-IE [detail] 2017-02-20
13:30
Hokkaido Hokkaido Univ. A Note on Accurate Distress Classification for Maintenance Inspection of Road Structures via Deep Learning
Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Automatic distress classification of distresses occurring in road structures is necessary in order to support inspectors... [more] MMS2017-6 CE2017-6 HI2017-6 ME2017-30 AIT2017-6
pp.51-54
HI, IEICE-IE, AIT, IEICE-ITS, ME, MMS, CE [detail] 2016-02-22
13:45
Hokkaido Hokudai A Note on Accurate Distress Classification for Maintenance Inspection of Road Structures -- Integration of Multiple Classification Results based on Tag Data and Distress Images --
Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Accurate classification of distresses occurring in road structures is necessary in order to support maintenance inspecti... [more] MMS2016-18 CE2016-18 HI2016-18 ME2016-51 AIT2016-18
pp.181-184
 Results 1 - 16 of 16  /   
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