과제정보
이 논문은 2019년도 정부(교육부)의 재원으로 한국연구재단의 지원을 받아 수행된 기초연구사업임(No. 2019R1I1A3A01063935)
참고문헌
- Park, K. D. and Kim, D. W., "Environment Corrosion Effect Estimation Engineering Development of Pipe Material by Surface Treatment" , Conference of the Korean Society for Power System Engineering, pp. 246-251, 2005.
- Park, C. S., Sung, K. Y. and Han, S. J., "Experimental Quality Characteristics for Water Removal in Inner Flushing Oil in Process Piping of Offshore Plant" , Journal of The Korean Society of Industry Convergence, Vol. 22, No. 6, pp. 797-805, 2019. https://doi.org/10.21289/KSIC.2019.22.6.797
- Choi, S. W., Lee, J. H. and Cho, Y. H., "Application of Laser-based Ultrasonic Technique for Evaluation of Corrosion and Defects in Pipeline" , Journal of the Korean Society for Nondestructive Testing, Vol. 25, No. 2, pp. 95-102, 2005.
- Lu, H., Iseley, T., Behbahani, S. and Fu, L., "Leakage Detection Techniques for Oil and Gas Pipelines: State-of-the-art" , Tunnelling and Underground Space Technology, Vol. 98, Article 103249, 2020.
- Van Hieu, B., Choi, S., Kim, Y. U., Park, Y. and Jeong, T., 2011, "Wireless Transmission of Acoustic Emission Signals for Real-Time Monitoring of Leakage in Underground Pipes," KSCE Journal of Civil Engineering, Vol. 15, No. 5, Article 805.
- Choi, H. S., Na, W. H., Kang, D. W., Kang, H. S., Jeon, J. G. and Kim, H. S., "Development of an In-Pipe Inspection and Cleaning Robot," Journal of the Korean Society of Marine Engineering, Vol. 33, No. 5, pp. 662-671, 2009.
- Laser Scanners RF627 Series User's manual, RIFTEK, pp. 4-5
- Kim, H. Y., Cho, L. H. and Kim, K. S., "Rock Classification Prediction in Tunnel Excavation Using CNN," Journal of the Korean Geotechnical Society, Vol. 35, No. 9, pp. 37-45, 2019. https://doi.org/10.7843/KGS.2019.35.9.37
- Jang, J. W., An, H. J., Lee, J. H. and Shin, S. B., "Construction of Faster R-CNN Deep Learning Model for Surface Damage Detection of Blade Systems," Journal of the Korea Institute for Structural Maintenance and Inspection, Vol. 23, No. 7, pp. 80-86, 2019. https://doi.org/10.11112/JKSMI.2019.23.7.80
- Lee, Y. H. and Kim, Y. S., "Comparison of CNN and YOLO for Object Detection" Journal of the Semiconductor & Display Technology, Vol. 19, No. 1, pp. 85-92, 2020.
- Ko, S. J. and Kim, Y. H., "Object Classification and Detection Technology Using Deep Learning" The Magazine of the IEEE, Vol. 44, No. 11, pp. 26-33, 2017.
- Kim, B. M., "Trend of Iimage Classification Technology Based on Deep Learning" The Journal of The Korean Institute of Communication Sciences, Vol. 35, No. 12, pp. 8-14, 2018.
- Namgung, J. H., Son, S. W. and Moon, Y. S., "GRU-based Deep Learning Algorithm for DGA Classification" Conference of Korean Institute of Information Scientists and Engineers, pp. 937-939, 2020.