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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 12 of 12  /   
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
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
 Results 1 - 12 of 12  /   
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