A Comparison Study of Edge Line Estimation Algorithms for Dimensional Quality Assessment of Precast Concrete Slabs.
- Published in:
- Advances in Civil Engineering, 2024, p. 1, doi. 10.1155/2024/4166203
- By:
- Publication type:
- Article
Works by Sim, Sung-Han
Results: 38
1
2
Modal Property‐Based Data Anomaly Detection Method for Autonomous Stay‐Cable Monitoring System in Cable‐Stayed Bridges.
- Published in:
- Structural Control & Health Monitoring, 2024, v. 2024, p. 1, doi. 10.1155/2024/8565150
- By:
- Publication type:
- Article
3
Prediction Model for Long-Term Bridge Bearing Displacement Using Artificial Neural Network and Bayesian Optimization.
- Published in:
- Structural Control & Health Monitoring, 2023, p. 1, doi. 10.1155/2023/6664981
- By:
- Publication type:
- Article
4
Estimation of Water Stagnation in Asphalt-Overlaid Bridges Using Ground-Penetrating Radar.
- Published in:
- Structural Control & Health Monitoring, 2023, p. 1, doi. 10.1155/2023/7280555
- By:
- Publication type:
- Article
5
Automated bridge component recognition from point clouds using deep learning.
- Published in:
- Structural Control & Health Monitoring, 2020, v. 27, n. 9, p. 1, doi. 10.1002/stc.2591
- By:
- Publication type:
- Article
6
Sensor data-based probabilistic monitoring of time-history deflections of railway bridges induced by high-speed trains.
- Published in:
- Structural Health Monitoring, 2022, v. 21, n. 6, p. 2518, doi. 10.1177/14759217211063424
- By:
- Publication type:
- Article
7
Monitoring of self-healing in concrete with micro-capsules using a combination of air-coupled surface wave and computer-vision techniques.
- Published in:
- Structural Health Monitoring, 2022, v. 21, n. 4, p. 1661, doi. 10.1177/14759217211041002
- By:
- Publication type:
- Article
8
Automated wireless monitoring system for cable tension forces using deep learning.
- Published in:
- Structural Health Monitoring, 2021, v. 20, n. 4, p. 1805, doi. 10.1177/1475921720935837
- By:
- Publication type:
- Article
9
Field experiment on a PSC-I bridge for convolutional autoencoder-based damage detection.
- Published in:
- Structural Health Monitoring, 2021, v. 20, n. 4, p. 1627, doi. 10.1177/1475921720926267
- By:
- Publication type:
- Article
10
Crack identification method for concrete structures considering angle of view using RGB-D camera-based sensor fusion.
- Published in:
- Structural Health Monitoring, 2021, v. 20, n. 2, p. 500, doi. 10.1177/1475921720934758
- By:
- Publication type:
- Article
11
Crack and Noncrack Classification from Concrete Surface Images Using Machine Learning.
- Published in:
- Structural Health Monitoring, 2019, v. 18, n. 3, p. 725, doi. 10.1177/1475921718768747
- By:
- Publication type:
- Article
12
Smart One-Channel Sensor Node for Ambient Vibration Test with Applications to Structural Health Monitoring of Large Civil Infrastructures.
- Published in:
- International Journal of Distributed Sensor Networks, 2015, p. 1, doi. 10.1155/2015/691565
- By:
- Publication type:
- Article
13
Range Image-Aided Edge Line Estimation for Dimensional Inspection of Precast Bridge Slab Using Point Cloud Data.
- Published in:
- Sustainability (2071-1050), 2023, v. 15, n. 16, p. 12243, doi. 10.3390/su151612243
- By:
- Publication type:
- Article
14
Automated peak picking using region‐based convolutional neural network for operational modal analysis.
- Published in:
- Structural Control & Health Monitoring, 2019, v. 26, n. 11, p. N.PAG, doi. 10.1002/stc.2436
- By:
- Publication type:
- Article
15
Long‐term displacement measurement of bridges using a LiDAR system.
- Published in:
- Structural Control & Health Monitoring, 2019, v. 26, n. 10, p. N.PAG, doi. 10.1002/stc.2428
- By:
- Publication type:
- Article
16
Recent progress and future trends on damage identification methods for bridge structures.
- Published in:
- Structural Control & Health Monitoring, 2019, v. 26, n. 10, p. N.PAG, doi. 10.1002/stc.2416
- By:
- Publication type:
- Article
17
Feasibility of displacement monitoring using low-cost GPS receivers.
- Published in:
- Structural Control & Health Monitoring, 2013, v. 20, n. 9, p. 1240, doi. 10.1002/stc.1532
- By:
- Publication type:
- Article
18
Comparative Study of Lightweight Deep Semantic Segmentation Models for Concrete Damage Detection.
- Published in:
- Applied Sciences (2076-3417), 2022, v. 12, n. 24, p. 12786, doi. 10.3390/app122412786
- By:
- Publication type:
- Article
19
Automated Real-Time Assessment of Stay-Cable Serviceability Using Smart Sensors.
- Published in:
- Applied Sciences (2076-3417), 2019, v. 9, n. 20, p. 4469, doi. 10.3390/app9204469
- By:
- Publication type:
- Article
20
Data‐driven model for seismic assessment, design, and retrofit of structures using explainable artificial intelligence.
- Published in:
- Computer-Aided Civil & Infrastructure Engineering, 2025, v. 40, n. 3, p. 281, doi. 10.1111/mice.13338
- By:
- Publication type:
- Article
21
Traffic Safety Evaluation for Railway Bridges Using Expanded Multisensor Data Fusion.
- Published in:
- Computer-Aided Civil & Infrastructure Engineering, 2016, v. 31, n. 10, p. 749, doi. 10.1111/mice.12210
- By:
- Publication type:
- Article
22
Development and Application of High-Sensitivity Wireless Smart Sensors for Decentralized Stochastic Modal Identification.
- Published in:
- Journal of Engineering Mechanics, 2012, v. 138, n. 6, p. 683, doi. 10.1061/(ASCE)EM.1943-7889.0000352
- By:
- Publication type:
- Article
23
Development of temperature-robust damage factor based on sensor fusion for a wind turbine structure.
- Published in:
- Frontiers of Structural & Civil Engineering, 2015, v. 9, n. 1, p. 42, doi. 10.1007/s11709-014-0285-3
- By:
- Publication type:
- Article
24
Reference-Free Displacement Estimation of Bridges Using Kalman Filter-Based Multimetric Data Fusion.
- Published in:
- Journal of Sensors, 2016, p. 1, doi. 10.1155/2016/3791856
- By:
- Publication type:
- Article
25
Individual Disaster Assistance For Socially Vulnerable People: Lessons Learned From the Pohang Earthquake in the Republic of Korea.
- Published in:
- Risk Analysis: An International Journal, 2020, v. 40, n. 11, p. 2373, doi. 10.1111/risa.13554
- By:
- Publication type:
- Article
26
Fast Detection of Missing Thin Propagating Cracks during Deep-Learning-Based Concrete Crack/Non-Crack Classification.
- Published in:
- Sensors (14248220), 2023, v. 23, n. 3, p. 1419, doi. 10.3390/s23031419
- By:
- Publication type:
- Article
27
Damage-Detection Approach for Bridges with Multi-Vehicle Loads Using Convolutional Autoencoder.
- Published in:
- Sensors (14248220), 2022, v. 22, n. 5, p. N.PAG, doi. 10.3390/s22051839
- By:
- Publication type:
- Article
28
Special Issue on "Smart City and Smart Infrastructure".
- Published in:
- Sensors (14248220), 2021, v. 21, n. 21, p. 7064, doi. 10.3390/s21217064
- By:
- Publication type:
- Article
29
LiDAR-Based Bridge Displacement Estimation Using 3D Spatial Optimization.
- Published in:
- 2020
- By:
- Publication type:
- Letter
30
Stress Estimation Using Digital Image Correlation with Compensation of Camera Motion-Induced Error.
- Published in:
- Sensors (14248220), 2019, v. 19, n. 24, p. 5503, doi. 10.3390/s19245503
- By:
- Publication type:
- Article
31
Bayesian Prediction of Pre-Stressed Concrete Bridge Deflection Using Finite Element Analysis.
- Published in:
- Sensors (14248220), 2019, v. 19, n. 22, p. 4956, doi. 10.3390/s19224956
- By:
- Publication type:
- Article
32
A Novelty Detection Approach for Tendons of Prestressed Concrete Bridges Based on a Convolutional Autoencoder and Acceleration Data.
- Published in:
- Sensors (14248220), 2019, v. 19, n. 7, p. 1633, doi. 10.3390/s19071633
- By:
- Publication type:
- Article
33
Uniaxial Static Stress Estimation for Concrete Structures Using Digital Image Correlation.
- Published in:
- Sensors (14248220), 2019, v. 19, n. 2, p. 319, doi. 10.3390/s19020319
- By:
- Publication type:
- Article
34
Applicability of Diffuse Ultrasound to Evaluation of the Water Permeability and Chloride Ion Penetrability of Cracked Concrete.
- Published in:
- Sensors (14248220), 2018, v. 18, n. 12, p. 4156, doi. 10.3390/s18124156
- By:
- Publication type:
- Article
35
Characterization of Porous Cementitious Materials Using Microscopic Image Processing and X-ray CT Analysis.
- Published in:
- Materials (1996-1944), 2020, v. 13, n. 14, p. 3105, doi. 10.3390/ma13143105
- By:
- Publication type:
- Article
36
Prediction of Static Modulus and Compressive Strength of Concrete from Dynamic Modulus Associated with Wave Velocity and Resonance Frequency Using Machine Learning Techniques.
- Published in:
- Materials (1996-1944), 2020, v. 13, n. 13, p. 2886, doi. 10.3390/ma13132886
- By:
- Publication type:
- Article
37
Prediction Model for Mechanical Properties of Lightweight Aggregate Concrete Using Artificial Neural Network.
- Published in:
- Materials (1996-1944), 2019, v. 12, n. 17, p. 2678, doi. 10.3390/ma12172678
- By:
- Publication type:
- Article
38
Estimation of Prediction Intervals for Performance Assessment of Building Using Machine Learning.
- Published in:
- Sensors (14248220), 2024, v. 24, n. 13, p. 4218, doi. 10.3390/s24134218
- By:
- Publication type:
- Article