• 대한전기학회
Mobile QR Code QR CODE : The Transactions of the Korean Institute of Electrical Engineers
  • COPE
  • kcse
  • 한국과학기술단체총연합회
  • 한국학술지인용색인
  • Scopus
  • crossref
  • orcid
The Transactions of the Korean Institute of Electrical Engineers

The Transactions of the Korean Institute of Electrical Engineers

ISO Journal TitleTrans. Korean. Inst. Elect. Eng.
SCImago Journal & Country Rank

Journal Search

  1. Home
  2. Archive
  3. 2026-10 (Vol.75 No.10)
  4. 10.5370/KIEE.2026.75.10.2760
XML PDF INFO REF

References

1 
T. DebRoy, "Additive manufacturing of metallic components – Process, structure and properties," Progress in Materials Science, vol. 92, pp. 112-224, 2018. DOI
2 
B. Wu, "A review of the wire arc additive manufacturing of metals: properties, defects and quality improvement," Journal of Manufacturing Processes, vol. 35, pp. 127-139, 2018. DOI
3 
S. K. Everton, "Review of in-situ process monitoring and in-situ metrology for metal additive manufacturing," Materials & Design, vol. 95, pp. 431-445, 2016. DOI
4 
J. Krautkrämer, H. Krautkrämer, "Ultrasonic Testing of Materials," Springer, pp. 15-116, 1990. Google Search
5 
M. Cantero-Chinchilla, P. D. Wilcox, A. J. Croxford, "Deep learning in automated ultrasonic NDE," NDT & E International, vol. 131, 2022. DOI
6 
S. Uhlig, "A review of synthetic and augmented training data for machine learning in ultrasonic non-destructive evaluation," Ultrasonics, vol. 134, 2023. DOI
7 
K. Schlachter, "Training neural networks on domain randomized simulations for ultrasonic inspection," Open Research Europe, vol. 2, 2022. DOI
8 
V. Tunukovic, "A study of machine learning object detection performance for phased array ultrasonic testing of carbon fibre reinforced plastics," NDT & E International, vol. 144, 2024. DOI
9 
Q. Zhang, "DiffUT: Diffusion-based augmentation for limited ultrasonic testing defects in high-speed rail," NDT & E International, vol. 154, 2025. DOI
10 
W. Sikorski, "Development of acoustic emission sensor optimized for partial discharge monitoring in power transformers," Sensors, vol. 19, no. 8, 2019. DOI
11 
K. Ono, "A comprehensive report on ultrasonic attenuation of engineering materials," Applied Sciences, vol. 10, no. 7, 2020. DOI
12 
S.-H. Park, "Microstructural characterization of additively manufactured metal components using linear and nonlinear ultrasonic techniques," Materials, vol. 15, no. 11, 2022. DOI
13 
F. E. Stanke, G. S. Kino, "A unified theory for elastic wave propagation in polycrystalline materials," Journal of the Acoustical Society of America, vol. 75, no. 3, pp. 665-681, 1984. DOI
14 
G. Langelandsvik, "Review of aluminum alloy development for wire arc additive manufacturing," Materials, vol. 14, no. 18, 2021. DOI
15 
D. Medak, "Automated defect detection from ultrasonic images using deep learning," IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 68, no. 10, pp. 3126-3134, 2021. DOI
16 
Y. Zhao, "DETRs beat YOLOs on real-time object detection," arXiv preprint arXiv:2304.08069, 2023. Google Search
17 
S. Ren, K. He, R. Girshick, J. Sun, "Faster R-CNN: Towards real-time object detection with region proposal networks," pp. 91-99, Proc. Advances in Neural Information Processing Systems (NeurIPS), 2015. Google Search
18 
G. Jocher, "Ultralytics YOLO (versions YOLOv8, YOLO11, YOLO26)," computer software, 2025. https://github.com/ultralytics/ultralytics Google Search
19 
G. Davis, "Data for near-surface defect imaging in additively manufactured components by SAW suppression in laser induced phased array acquired data," FMC dataset of a Ti-6Al-4V WAAM specimen, University of Strathclyde, CC BY 4.0, 2023. DOI
20 
G. Davis, "Near-surface defect detection in additively manufactured components using laser induced phased arrays with surface acoustic wave crosstalk suppression," Materials & Design, vol. 236, 2023. DOI