International conference on construction engineering and project management (국제학술발표논문집)

  • 2024.07a
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  • Pages.846-854
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  • 2024
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  • 2508-9048(eISSN)
Korea Institute of Construction Engineering and Management (한국건설관리학회)
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Research on Construction Quality Problem Prevention

  • Shaohua Jiang (Department of Construction Management, Faculty of Infrastructure Engineering, Dalian University of Technology) ;
  • Jingqi Zhang (Department of Construction Management, Faculty of Infrastructure Engineering, Dalian University of Technology)
  • Published : 2024.07.29
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Abstract

A project's success is directly guaranteed by the prevention of construction-related problems. Nevertheless, the prevention of quality issues frequently overlooks how issues are coupled with one another, which might result in a domino effect of quality issues. In order to solve the above problems, this work first preprocesses unstructured text data with quality problem coupling. Then the pre-processing data is used to build a knowledge base for the prevention of construction quality problems. Then the text similarity algorithm is used to mine the coupling relationship between the qualities and enrich the information in the database. Finally, some text is used as test object to verify the validity of the method. This study enriches the research around the prevention of building quality problems.

Keywords

Acknowledgement

The work described in this paper was supported by the National Natural Science Foundation of China (Grant No. 52078101).

References

  1. X. W. Zhou and Y. S. Wang, "Understanding competency requirements in the context of AEC industry informatization: policy insights from China," Eng. Constr. Archit. Manag., 2023 Aug 2023, doi: 10.1108/ecam-11-2022-1080.
  2. Q. Wang and J. W. Shang, "Analysis of the quality improvement path of supply chain management under the background of Industry 4.0," International Journal of Technology Management, vol. 91, no. 1-2, pp. 1-18, 2023, doi: 10.1504/ijtm.2023.127854.
  3. O. Ardon et al., "Quality Management System in Clinical Digital Pathology Operations at a Tertiary Cancer Center," Laboratory Investigation, vol. 103, no. 11, Nov 2023, Art no. 100246, doi: 10.1016/j.labinv.2023.100246.
  4. J. Willems, I. Bablok, E. Farin-Glattacker, and T. Langer, "Barriers and facilitating factors of care coordination for children with spinal muscular atrophy type I and II from the caregivers' perspective: an interview study," Orphanet Journal of Rare Diseases, vol. 18, no. 1, Jun 2023, Art no. 136, doi: 10.1186/s13023-023-02739-w.
  5. G. Lv, Y. N. Sun, F. D. Nian, M. F. Zhu, W. L. Tang, and Z. Z. Hu, "COME: Clip-OCR and Master ObjEct for text image captioning," Image and Vision Computing, vol. 136, Aug 2023, Art no. 104751, doi: 10.1016/j.imavis.2023.104751.
  6. Q. D. Nguyen, N. M. Phan, P. Kromer, and D. A. Le, "An Efficient Unsupervised Approach for OCR Error Correction of Vietnamese OCR Text," Ieee Access, vol. 11, pp. 58406-58421, 2023, doi: 10.1109/access.2023.3283340.
  7. P. Jain, K. Taneja, and H. Taneja, "Which OCR toolset is good and why? A comparative study," Kuwait Journal of Science, vol. 48, no. 2, 2021, doi: 10.48129/kjs.v48i2.9589.
  8. H. Elshahaby and M. Rashwan, "An end to end system for subtitle text extraction from movie videos," Journal of Ambient Intelligence and Humanized Computing, vol. 13, no. 4, pp. 1853-1865, Apr 2022, doi: 10.1007/s12652-021-02951-1.
  9. P. Thierfelder, Z. G. Cai, S. T. Huang, and H. Lin, "The Chinese lexicon of deaf readers: A database of character decisions and a comparison between deaf and hearing readers," Behavior Research Methods, 2023 Dec 2023, doi: 10.3758/s13428-023-02305-z.
  10. N. Chida and T. Terauchi, "On Lookaheads in Regular Expressions with Backreferences," Ieice Transactions on Information and Systems, vol. E106D, no. 5, pp. 959-975, May 2023, doi: 10.1587/transinf.2022EDP7098.
  11. S. Broda, A. Machiavelo, N. Moreira, and R. Reis, "Location automata for regular expressions with shuffle and intersection," Information and Computation, vol. 295, Dec 2023, Art no. 104917, doi: 10.1016/j.ic.2022.104917.
  12. X. W. Sun et al., "Efficient regular expression matching over hybrid dictionary-based compressed data," Journal of Network and Computer Applications, vol. 215, Jun 2023, Art no. 103635, doi: 10.1016/j.jnca.2023.103635.
  13. F. Parolini and A. Mine, "Sound static analysis of regular expressions for vulnerabilities to denial of service attacks," Science of Computer Programming, vol. 229, Jul 2023, Art no. 102960, doi: 10.1016/j.scico.2023.102960.
  14. D. Conficconi, E. del Sozzo, F. Carloni, A. Comodi, A. Scolari, and M. D. Santambrogio, "An Energy-Efficient Domain-Specific Architecture for Regular Expressions," Ieee Transactions on Emerging Topics in Computing, vol. 11, no. 1, pp. 3-17, Jan 2023, doi: 10.1109/tetc.2022.3157948.
  15. J. Doleschal, B. Kimelfeld, and W. Martens, "THE COMPLEXITY OF AGGREGATES OVER EXTRACTIONS BY REGULAR EXPRESSIONS *," Logical Methods in Computer Science, vol. 19, no. 3, 2023, Art no. 12, doi: 10.46298/lmcs-19(3:12)2023.
  16. K. Gopi et al., "Developing a MySQL Database for the Provenance of Black Tiger Prawns (Penaeus monodon)," Foods, vol. 12, no. 14, Jul 2023, Art no. 2677, doi: 10.3390/foods12142677.
  17. P. Yin and J. Cheng, "A MySQL-Based Software System of Urban Land Planning Database of Shanghai in China," Cmes-Computer Modeling in Engineering & Sciences, vol. 135, no. 3, pp. 2387-2405, 2023, doi: 10.32604/cmes.2023.023666.