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NTIS 바로가기Journal of KIBIM = 한국BIM학회논문집, v.13 no.3, 2023년, pp.12 - 20
Deep learning-based anomaly detection technology is used in various fields such as computer vision, speech recognition, and natural language processing. In particular, this technology is applied in various fields such as monitoring manufacturing equipment abnormalities, detecting financial fraud, de...
Cho, D., Lee, J. (2021). Training Floorplan Sketches and?Applying to the Spatial Design - Focused on the?Development of Automated BIM Modeling module from?Floor Plan Sketches in the Early Stage of Design, Journal?of the Korea Institute of Spatial Design, 16(1), pp.?365-374.?
Cho, Y.-W., Kang, K.-S., Son, B.-S., Ryu, H.-G. (2021).?Extraction of Workers and Heavy Equipment and Muliti-Object Tracking using Surveillance System in Construction Sites, Journal of The Korea Institute of Building?Construction, 21(55), pp. 397-408.?
Jang, J.-H. (2020). BIM Based Infrastructure Maintenance,?KSCE Magazine, 68(9), pp. 38-48.?
Kang, T.-W., Kim, B.-K., Jung, Y.-S. (2021). Deep Learning?Platform Architecture for Monitoring Image based?Real-time Construction Site Equipment and Worker,?Journal of KIBIM, 11(2), pp. 24-32.?
Kim, S.-H., Kim, T.-H., Eom, I., Won, J.-C. (2022). A Study?on the Efficient 3D Scanning Method for Digital Twin?Configuration in Construction Site, Journal of KIBIM, 12(3),?pp. 39-52.?
Lee, Y.-S., Kim, K.-H. (2020). Experimental Study on the?Short-Term Prediction of Rebar Price using Bidirectional?LSTM with Data Combination and Deep Learning Related?Techniques, Korea Journal of Construction Engineering?and Management, 21(6), pp. 38-46.?
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones,?L., Gomez, A. N., Kaiser, L., Polosukhin, I. (2017).?Attention is All You Need, Advances in Neural Information Processing Systems. pp. 1-11.?
Yang, S.-W., Kim, S.-J., Kim, S.-A. (2021). BIM-based?Design Automation Tool and Digital Twin Interoperability?- Case of the Next Generation Noise Barrier Tunnel,?KIBIM, 11(4), pp. 31-42.?
Yin, W., Kann, K., Yu, M., Schutze, H. (2017). Comparative?study of CNN and RNN for Natural Language Processing,?arXiv, pp. 1-7.
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