Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
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 |
ME, SIP |
2020-12-16 13:00 |
Online |
Online |
A study on hierarchical estimation of road narrowing conditions by piled snow in in-vehicle cameras Kozo Okumura, Sho Takahashi, Toru Hagiwara (Hokkaido Univ.) |
Snow fall regions are facing the challenges such as the aging and decrease in the number of the snow removal workers. Re... [more] |
ME2020-102 pp.1-4 |
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-19 10:10 |
Hokkaido |
Hokkaido Univ. |
[Special Talk]
Efforts for Doctoral Human Resource Development at Hokkaido University
-- Smart Infrastructure Management Human Resources Development Consortium -- Miki Haseyama, Toru Ohmoto, Yuki Wakuda (Hokkaido Univ.) |
In order to enhance Japan’s competitiveness toward the era of the Fourth Industrial Revolution (Society 5.0), the discov... [more] |
MMS2019-3 HI2019-3 ME2019-25 AIT2019-3 pp.5-6 |
IEICE-ITS, IEICE-IE, AIT, HI, ME [detail] |
2014-02-17 10:05 |
Hokkaido |
Hokkaido Univ. |
A note on estimating deformation based on Bayesian networks using images from bridge inspection Katsuki Kobayashi, Sho Takahashi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a method for estimating deformation of bridges based on Bayesian networks. There exist strong relati... [more] |
HI2014-4 ME2014-4 AIT2014-4 pp.217-221 |