Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Do Hyoung Shin"'
Publikováno v:
Sensors, Vol 23, Iss 8, p 3870 (2023)
Object localization is a sub-field of computer vision-based object recognition technology that identifies object classes and locations. Studies on safety management are still in their infancy, particularly those aimed at lowering occupational fatalit
Externí odkaz:
https://doaj.org/article/dac318304d8443bca81db0ff47a707a3
Publikováno v:
Sensors, Vol 22, Iss 5, p 1839 (2022)
Deep learning has been widely employed in recent studies on bridge-damage detection to improve the performance of damage-detection methods. Unsupervised deep learning can be effectively utilized to increase the applicability of damage-detection appro
Externí odkaz:
https://doaj.org/article/f22a5f377060496882cff8487bcafad1
Publikováno v:
Water, Vol 12, Iss 7, p 1942 (2020)
Heavy rain damage prediction models were developed with a deep learning technique for predicting the damage to a region before heavy rain damage occurs. As a dependent variable, a damage scale comprising three categories (minor, significant, severe)
Externí odkaz:
https://doaj.org/article/51e63a262ed54ce088d14de5822fa984
Publikováno v:
Applied Sciences, Vol 9, Iss 20, p 4469 (2019)
The number of cable-stayed bridges being built worldwide has been increasing owing to the increasing demand for long-span bridges. As the stay-cable is one of critical load-carrying members of cable-stayed bridges, its maintenance has become a signif
Externí odkaz:
https://doaj.org/article/8ac1186ef88c4a9eaac7e64b51f25f4b
Publikováno v:
Sensors, Vol 19, Iss 7, p 1633 (2019)
The most important structural element of prestressed concrete (PSC) bridges is the prestressed tendon, and in order to ensure safety of such bridges, it is very important to determine whether the tendon is damaged. However, it is not easy to detect t
Externí odkaz:
https://doaj.org/article/a4c84d26bdcf4bc28553273008ca2e2b
Publikováno v:
KSCE Journal of Civil Engineering. 27:930-939
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac066d1a1ed0f0c221aa2cd2f296285b
https://doi.org/10.1007/s12205-023-1011-2
https://doi.org/10.1007/s12205-023-1011-2
Publikováno v:
Journal of the Korean Society of Hazard Mitigation. 21:183-190
In recent times, there has been an increase in the occurrence of disasters caused by a rapid increase in the aging of infrastructure. A structural health monitoring system can be utilized to detect severe damages in infrastructure and prevent acciden
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99e719f2cc6f4dc2d568bb2b6e014289
https://doi.org/10.9798/kosham.2021.21.5.183
https://doi.org/10.9798/kosham.2021.21.5.183
Publikováno v:
Structural Health Monitoring. 20:1627-1643
In this study, a field experiment was performed for damage detection on a PSC-I bridge based on a convolutional autoencoder using the damage detection approach proposed in a previous study by the authors. The field experiment measured the acceleratio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea1031df8788e1773922fc1ae2868a2c
https://doi.org/10.1177/1475921720926267
https://doi.org/10.1177/1475921720926267
Publikováno v:
KSCE Journal of Civil Engineering. 24:1-9
Damage localization is the process of detecting the location of damage using a structural health monitoring system. However, existing damage localization methods cannot be used for localizing the damage of bridges in real time because of their slow t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7b0f8117ec5555505c9b842cd99c76b
https://doi.org/10.1007/s12205-020-0707-9
https://doi.org/10.1007/s12205-020-0707-9
Publikováno v:
KSCE Journal of Civil Engineering. 23:4984-4991
Housing prices, including Jeonse prices, are impacted by human psychological attitudes. News articles are one of the factors that influence such human psychological attitudes. Previous studies have confirmed the potential for utilization of news arti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1e0a400fd4224bff0c39684bef1d188
https://doi.org/10.1007/s12205-019-5885-y
https://doi.org/10.1007/s12205-019-5885-y