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] |
2021-02-18 10:45 |
Online |
Online |
A Note on Estimation of Expert-Novice Level Based on Eye Tracking and Motion Data from Engineers While Inspecting Subway Tunnel Yusuke Akamatsu, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents estimation of expert-novice levels based on eye tracking and motion data obtained while engineers in... [more] |
MMS2021-2 ME2021-2 AIT2021-2 pp.7-12 |
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 13:30 |
Hokkaido |
Hokkaido Univ. (Cancelled) |
A Note on Estimation of rock compressive strength index from drilling data based on online learning Kentaro Yamamoto, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
It is necessary to evaluate the ground condition of the rock mass for safe and efficient tunnel construction. Currently,... [more] |
MMS2020-11 HI2020-11 ME2020-39 AIT2020-11 pp.57-60 |
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 |
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20 11:00 |
Hokkaido |
Hokkaido Univ. |
A Note on Estimation of Rock Drilling Energy Using Tunnel Working Face Images Kentaro Yamamoto, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In tunnel construction, it is important to grasp the geological condition of the rock to shorten the construction period... [more] |
MMS2019-32 HI2019-32 ME2019-54 AIT2019-32 pp.291-294 |
IEICE-ITS, IEICE-IE, MMS, HI, ME, AIT [detail] |
2018-02-15 15:00 |
Hokkaido |
Hokkaido Univ. |
A Note on Classification of Tunnel Working Face Images toward Estimation of Rock Elastic Wave Velocity Shota Hamano, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Comprehension of rock elastic wave velocity is one of the most important issues regarding appropriate construction of ro... [more] |
MMS2018-18 HI2018-18 ME2018-18 AIT2018-18 pp.185-188 |
IEICE-ICD, IEICE-SDM, IST [detail] |
2016-08-03 15:30 |
Osaka |
Central Electric Club |
Performance Enhancement of Tunnel FET by Negative Capacitance Masaharu Kobayashi, Kyungmin Jang, Nozomu Ueyama, Toshiro Hiramoto (Univ. of Tokyo) |
IoT devices in a sensor network require a new energy-efficient transistor which operates at ultralow voltage and power e... [more] |
|
BCT, KYUSHU, IEEE-BT, IEEE-AP-S-FUKUOKA |
2015-01-30 11:00 |
Fukuoka |
Fukuoka Institute of Technology |
A study of the receiving system in tunnel by using IP radio Kazuaki Wakai, Masaki Ide, Kanta Samejima (DIT) |
Often breaks off and enters the tunnel radio reception. Be feasible that you can receive the broadcast well into the tun... [more] |
BCT2015-20 pp.81-84 |