Mobile QR Code QR CODE : Journal of the Korean Society of Civil Engineers
Journal of the Korean Society of Civil Engineers

Journal of the Korean Society of Civil Engineers

ISO Journal TitleKSCE J. Civ. Environ. Eng. Res.
  • Open Access, Bi-monthly

Journal Search

  1. Home
  2. All Issues
  3. 2021-06 (v.41 n.3)
  4. 10.12652/Ksce.2021.41.3.0277
XML PDF INFO REF
1 
Bassier, M., Vergauwen, M. and Van Genechten, B. (2017). "Automated classification of heritage buildings for as-built BIM using machine learning techniques." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 4-2, No. W2, pp. 25-30. 10.5194/isprs-annals-IV-2-W2-25-2017 DOI
2 
Bazjanac, V. and Kiviniemi, A. (2007). "Reduction, simplification, translation and interpretation in the exchange of model data." International Council for Research and Innovation in Building and Construction w78 Conference, Cape Town, South Africa, Vol. 78, pp. 163-168.
3 
Belsky, M., Sacks, R. and Brilakis, I. (2016). "Semantic enrichment for building information modeling." Computer-Aided Civil and Infrastructure Engineering, Vol. 31, No. 4, pp. 261-274. 10.1111/mice.12128 DOI
4 
Bloch, T. and Sacks, R. (2018). "Comparing machine learning and rule-based inferencing for semantic enrichment of BIM models." Automation in Construction, Vol. 91, No. 21, pp. 256-272. 10.1016/j.autcon.2018.03.018 DOI
5 
Brilakis, I., Belsky, M. and Sacks, R. (2014). "A semantic enrichment engine for building information modelling." Computer-Aided Civil and Infrastructure Engineering, Vol. 31, pp. 261-274. 10.1111/mice.12128 DOI
6 
Bui, T. D., Ravi, S. and Ramavajjala, V. (2018). "Neural graph learning: Training neural networks using graphs." Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, Marina del Rey, California, pp. 64-71. 10.1145/3159652.3159731 DOI
7 
Cursi, S., Simeone, D. and Coraglia, U. M. (2017). "An ontology- based platform for BIM semantic enrichment." Proceedings of the 35th eCAADe Conference, Vol. 2, Rome, Italy, pp. 649-656.
8 
Eastman, C., Lee, J. M., Jeong, Y. S. and Lee, J. K. (2009). "Automatic rule-based checking of building designs." Automation in Construction, Vol. 18, No. 8, pp. 1011-1033. 10.1016/j.autcon.2009.07.002 DOI
9 
Jung, R. K., Koo, B. S. and Yu, Y. S. (2019). "Using deep learning for automated classification of wall subtypes for semantic integrity checking of building information models." KIBIM Magazine, Vol. 9, No. 4, pp. 31-40 (in Korean).
10 
Kim, J. S., Song, J. Y. and Lee, J. K. (2019). "Recognizing and classifying unknown object in BIM using 2D CNN." International Conference on Computer-Aided Architectural Design Futures, pp. 47-57 (in Korean). 10.1007/978-981-13-8410-3_4 DOI
11 
Kipf, T. N. and Welling, M. (2016). "Semi-supervised classification with graph convolutional networks." Published as a Conference Paper at ICLR 2017, Toulon, France, arXiv:1609.02907.
12 
Koo, B. S. and Shin, B. J. (2018). "Applying novelty detection to identify model element to IFC class misclassifications on architectural and infrastructure building information models." Journal of Computational Design and Engineering, Vol. 5, No. 4, pp. 391-400. 10.1016/j.jcde.2018.03.002 DOI
13 
Koo, B. S., La, S. M., Cho, N. W. and Yu, Y. S. (2019). "Using support vector machines to classify building elements for checking the semantic integrity of building information models." Automation in Construction, Vol. 98, No. 15, pp. 183-194. 10.1016/j.autcon.2018.11.015 DOI
14 
Koo, B. S., Yu, Y. S. and Jung, R. K. (2018). "Machine learning based approach to building element classification for semantic integrity checking of building information models." Korean Journal of Computational Design and Engineering, Vol. 23, No. 4, pp. 373-383 (in Korean). 10.7315/CDE.2018.373 DOI
15 
Lomio, F., Farinha, R., Laasonen, M. and Huttunen, H. (2018). "Classification of building information model (BIM) structures with deep learning." 2018 7th European Workshop on Visual Information Processing (EUVIP), IEEE, Tampere, Finland, pp. 1-6. 10.1109/EUVIP.2018.8611701 DOI
16 
Ma, L., Sacks, R. and Kattell, U. (2017). "Building model object classification for semantic enrichment using geometric features and pairwise spatial relations." 2017 Lean and Computing in Construction Congress (LC3), Heraklion, Crete, Greece, Vol. 1, pp. 373-380. 10.24928/JC3-2017/0044 DOI
17 
Pauwels, P. and Terkaj, W. (2016). "EXPRESS to OWL for construction industry: Towards a recommendable and usable ifcOWL ontology." Automation in Construction, Vol. 63, pp. 100-133. 10.1016/j.autcon.2015.12.003 DOI
18 
Sacks, R., Ma, L., Yosef, R., Borrmann, A., Daum, S. and Kattel, U. (2017). "Semantic enrichment for building information modeling: Procedure for compiling inference rules and operators for complex geometry." Journal of Computing in Civil Engineering, Vol. 31, No. 6, 04017062. 10.1061/(ASCE)CP.1943-5487.0000705 DOI
19 
Shin, J. H., Kwon, S. W., Lee, K. H., Choi, S. D. and Kim, J. M. (2015). "A study of the establishment of framework for information exchange based on IFC model in domestic collaborative design environment." Korean Journal of Construction Engineering and Management, Vol. 16, No. 1, pp. 24-34. (in Korean). 10.6106/KJCEM.2015.16.1.024 DOI
20 
Su, W., Yuan, Y. and Zhu, M. (2015, September). "A relationship between the average precision and the area under the roc curve." In Proceedings of the 2015 International Conference on The Theory of Information Retrieval, Northampton, Massachusetts, pp. 349-352. 10.1145/2808194.2809481 PMC4528305 DOI
21 
TensorFlow (2020). The neural structured learning framework, Available at: https://www.tensorflow.org/neural_structured_learning/ framework?hl=ko (Accessed: July 4, 2020).
22 
Venugopal, M., Eastman, C. M., Sacks, R. and Teizer, J. (2012). "Semantics of model views for information exchanges using the industry foundation class schema." Advanced Engineering Informatics, Vol. 26, No. 2, pp. 411-428. 10.1016/j.aei.2012.01.005 DOI
23 
Wu, J. and Zhang, J. (2019). "New automated BIM object classification method to support BIM interoperability." Journal of Computing in Civil Engineering, Vol. 33, No. 5, 04019033. 10.1061/(ASCE)CP.1943-5487.0000858 DOI