Research Division

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  • Methods for Gathering Road Big Data for Predicting the Driving Environment
    • Journal : The International Conference on Computer, Electronics, and Biomedical Engineering
    • Date : 2015.10.12
  • A Study on the Introduction of the Work Breakdown Structure for Infrastructure Asset Management
    • Journal : Proceedings of the 6th International Conference on Construction Engineering and Project Management
    • Date : 2015.10.12
  • Feature Template-Based Sweeping Shape Reverse Engineering Algorithm using a 3D Point Cloud
    • Journal : Proceedings of the 6th International Conference on Construction Engineering and Project Management
    • Date : 2015.10.12
  • Comparison of 3D Reconstruction Methods to Create 3D Indoor Models with Different LODs
    • Journal : Proceedings of the 6th International Conference on Construction Engineering and Project Management
    • Date : 2015.10.12
  • Automated 3D Model Reconstruction of Disaster Site Using Aerial Imagery Acquired By Drones
    • Journal : Proceedings of the 6th International Conference on Construction Engineering and Project Management
    • Date : 2015.10.11
  • Research for Hollow Reinforced Concrete Bridge Piers in Korea
    • Journal : ICSECM 2015 17th International Conference on Structural Engineering, Construction and Management 2015.10.08 ~ 2015.10.09
    • Date : 2015.10.08
  • Prediction of Road Safety Using Road/Traffic Big Data
    • Journal : The International Conference on Semantic Web Business and Innovation (SWBI 2015)
    • Date : 2015.10.07
  • A Study on the Use of Construction Standard Information in the Planning stage of the National road Construction Project
    • Journal : 2nd Business & Management Conference
    • Date : 2015.10.06
  • In-situ evaluation of predictive models for H2S gas emission and the performance of optimal dosage of of suppressing chemicals in a laboratory-scale sewer
    • Journal : 0964-8305 INTERNATIONAL BIODETERIORATION & BIODEGRADATION
    • Date : 2015.09.30
  • A Study on the Integrated Construction Cost Management Method with Reflection of the Characteristics of Public Construction Works in South Korea
    • Journal : 2th International Conference on Computer Science, Computer Engineering, and Social Media
    • Date : 2015.09.21
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