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Do Hyoung Shin
Do Hyoung Shin
Inha University, Professor
inha.ac.kr의 이메일 확인됨 - 홈페이지
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Identification of Application Areas for Augmented Reality in Industrial Construction Based on Technology Suitability
D Shin, PS Dunston
Automation in Construction 17 (7), 882-894, 2008
2002008
Evaluation of Augmented Reality in Steel Column Inspection
D Shin, PS Dunston
Automation in Construction 18 (2), 118-129, 2009
1052009
Forecasting short-term air passenger demand using big data from search engine queries
S Kim, D Shin
Automation in Construction 70, 98-108, 2016
702016
Knowledge‐mapping model for construction project organizations
G Yun, D Shin, H Kim, S Lee
Journal of Knowledge Management, 2011
612011
Non-Destructive Testing Methods in the U.S. for Bridge Inspection and Maintenance
S Lee, N Kalos, D Shin
KSCE Journal of Civil Engineering 18 (5), 1322-1331, 2014
522014
Technology Development Needs for Advancing Augmented Reality-Based Inspection
D Shin, PS Dunston
Automation in Construction 19 (2), 169-182, 2010
522010
Key areas and issues for augmented reality applications on construction sites
PS Dunston, DH Shin
Mixed reality in architecture, design and construction, 157-170, 2009
382009
Approximate cost estimating model for river facility construction based on case-based reasoning with genetic algorithms
M Kim, S Lee, S Woo, D Shin
KSCE Journal of Civil Engineering 16 (3), 283-292, 2012
362012
Utilization of Ubiquitous Computing for Construction AR Technology
D Shin, W Jang
Automation in Construction 18 (8), 1063-1069, 2009
322009
Prediction of WSN Placement for Bridge Health Monitoring based on Materials Characteristics Automation in Construction
S Bae, W Jang, S Woo, D Shin
Automation in Construction 35, 18-27, 2013
292013
View changes in augmented reality computer-aided-drawing
DH Shin, PS Dunston, X Wang
ACM Transactions on Applied Perception (TAP) 2 (1), 1-14, 2005
282005
A novelty detection approach for tendons of prestressed concrete bridges based on a convolutional autoencoder and acceleration data
K Lee, S Jeong, SH Sim, DH Shin
Sensors 19 (7), 1633, 2019
212019
Prediction of heavy rain damage using deep learning
K Lee, C Choi, DH Shin, HS Kim
Water 12 (7), 1942, 2020
152020
A damage localization approach for rahmen bridge based on convolutional neural network
K Lee, N Byun, DH Shin
KSCE Journal of Civil Engineering 24 (1), 1-9, 2020
152020
Forecasting Construction Cost Index Using Interrupted Time-Series
T Moon, D Shin
KSCE Journal of Civil Engineering 22 (5), 1626-1633, 2018
152018
Approximate Cost Estimating Model of Eco-type Trade for River Facility Construction Using Case-Based Reasoning and Genetic Algorithm
Y Jin, S Lee, S Woo, D Shin
KSCE Journal of Civil Engineering 17 (2), 292-300, 2012
132012
Identification of IT application areas and potential solutions for perception enhancement to improve construction safety
S Kim, D Shin
KSCE Journal of Civil Engineering 18 (2), 365-379, 2014
122014
Issues in Mixed Reality-based design and collaboration environments
X Wang, DH Shin, PS Dunston
Construction Research Congress: Wind of Change: Integration and Innovation, 1-9, 2003
122003
Forecasting Short-Term Housing Transaction Volumes Using Time-Series and Internet Search Queries
K Lee, H Kim, D Shin
KSCE Journal of Civil Engineering 23 (6), 2409-2416, 2019
102019
Framework of the approximate cost estimating model for river dredging construction
J Lee, S Lee, S Woo, D Shin
KSCE Journal of Civil Engineering 15 (1), 33-42, 2011
102011
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