Zobrazeno 1 - 10
of 158
pro vyhledávání: '"Sung-Han Sim"'
Autor:
Chang-Yong Yi, Fangxin Li, Julian Pratama Putra Thedja, Sung-Han Sim, Yoon-Ki Choi, Geon Hwee Kim, Min-Koo Kim
Publikováno v:
Advances in Civil Engineering, Vol 2024 (2024)
Point cloud data-based edge line extraction is an important task for accurate geometrical inspection of precast concrete (PC) elements in the construction industry. Although a few edge extraction algorithms have been developed so far based on point c
Externí odkaz:
https://doaj.org/article/877e1d6fd0c349d5994851e43893658f
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5476 (2024)
Structural health monitoring (SHM) systems are widely used for civil infrastructure monitoring. Data acquired from the SHM systems play an important role in assessing structural integrity and determining further maintenance activities. Considering th
Externí odkaz:
https://doaj.org/article/94d320fe5e404f9e93f6daaa2d3de7b7
Publikováno v:
Sensors, Vol 24, Iss 13, p 4218 (2024)
This study utilizes artificial neural networks (ANN) to estimate prediction intervals (PI) for seismic performance assessment of buildings subjected to long-term ground motion. To address the uncertainty quantification in structural health monitoring
Externí odkaz:
https://doaj.org/article/293a244722e744b781b24f2e6b8364cd
Publikováno v:
Sensors, Vol 23, Iss 3, p 1419 (2023)
Existing deep learning (DL) models can detect wider or thicker segments of cracks that occupy multiple pixels in the width direction, but fail to distinguish the thin tail shallow segment or propagating crack occupying fewer pixels. Therefore, in thi
Externí odkaz:
https://doaj.org/article/46e5d41af7b44985b7cb5fb789cbb728
Publikováno v:
Applied Sciences, Vol 12, Iss 24, p 12786 (2022)
Innovative concrete structure maintenance now requires automated computer vision inspection. Modern edge computing devices (ECDs), such as smartphones, can serve as sensing and computational platforms and can be integrated with deep learning models t
Externí odkaz:
https://doaj.org/article/7e9437b6c373442db08fe697e1a38afb
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
Autor:
Sung-Han Sim, Jong-Jae Lee
Publikováno v:
Sensors, Vol 21, Iss 21, p 7064 (2021)
Recent developments in sensor technologies and data-driven approaches have been recognized as the main enablers of smart cities [...]
Externí odkaz:
https://doaj.org/article/97c259d15bc3433bbb93e042fc285da4
Publikováno v:
Sensors, Vol 20, Iss 24, p 7117 (2020)
As civil engineering structures become larger, non-contact inspection technology is required to measure the overall shape and size of structures and evaluate safety. Structures are easily exposed to the external environment and may not be able to per
Externí odkaz:
https://doaj.org/article/49b85149c42643b485c611e4044f6e8d
Publikováno v:
Materials, Vol 13, Iss 14, p 3105 (2020)
The use of lightweight concrete has continuously increased because it has a primary benefit of reducing dead load in a concrete infrastructure. Various properties of lightweight concrete, such as compressive strength, elastic modulus, sound absorptio
Externí odkaz:
https://doaj.org/article/e1743ef9d3a0495eaaf7e917a994ed8a
Publikováno v:
Materials, Vol 13, Iss 13, p 2886 (2020)
The static elastic modulus (Ec) and compressive strength (fc) are critical properties of concrete. When determining Ec and fc, concrete cores are collected and subjected to destructive tests. However, destructive tests require certain test permission
Externí odkaz:
https://doaj.org/article/1f6d35023cb044938a0d891988638323