Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-22 16:30 |
Online |
online |
Relevance Analysis between Bio-signals of Engineers Inspecting Subway Tunnels and Their Inspection Behaviors Kaito Hirasawa, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents relevance analysis between bio-signals of engineers inspecting subway tunnels and their inspection b... [more] |
MMS2022-32 ME2022-57 AIT2022-32 pp.365-370 |
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] |
2021-02-19 16:50 |
Online |
Online |
[Special Talk]
Improving Efficiency of Hammering Inspection of Subway Tunnels based on Analyzing Inspection Data Motoki Oyama, Yuki Wakuda, Maiku Abe (Hokkaido Univ.), Yukihiro Ishikawa, Yuki Enokidani, Daisuke Tanaka, Hideaki Yamaguchi (Tokyo Metro) |
In this study, we aimed at optimizing the operation of the upper floor hammering sound inspection of the subway tunnel, ... [more] |
MMS2021-28 ME2021-28 AIT2021-28 pp.201-202 |
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 |
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27 15:55 |
Hokkaido |
Hokkaido Univ. (Cancelled) |
A Note on Classification of Experienced and Novice Inspectors Based on Bio-signals While Inspecting in Subway Tunnels Tetsuya Kushima, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents classification of experienced and novice inspectors based on bio-signals while inspecting in subway ... [more] |
MMS2020-20 HI2020-20 ME2020-48 AIT2020-20 pp.101-105 |
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20 10:15 |
Hokkaido |
Hokkaido Univ. |
A note on estimation of inspectors' visual attention using distress images of subway tunnels
-- Trial introduction of deep learning-based saliency prediction methods -- Ryota Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents the first trial for estimating inspectors' visual attention of distress images in subway tunnels. Th... [more] |
MMS2019-30 HI2019-30 ME2019-52 AIT2019-30 pp.281-285 |