Acknowledgement
이 연구는 산업통상자원부의 스마트특성화 기반구축사업 중 실물-가상연계 조선해양 기본설계 기술지원 사업(P0021213) 과제의 지원을 받아 수행되었습니다.
References
- Ba, J. L., J. R. Kiros, and G. E. Hinton(2016), Layer Normalization. arXiv preprint arXiv:1607.06450.
- Cho, Y. I., M. J. Oh, Y. S. Seok, S. J. Lee, and M. I. Roh (2019), Resistance Estimation of a Ship in the Initial Hull Design Using Deep Learning, 24.2, pp. 203-210.
- Girshick, R.(2015), Fast R-CNN. Proceedings of the IEEE International Conference on Computer Vision, pp. 1440-1448
- He, K., X. Zhang, S. Ren, and J. Sun(2016), Deep Residual Learning for Image Recognition. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770-778.
- Jaegle, A., S. Borgeaud, J.-B. Alayrac, C. Doersch, C. Ionescu, D. Ding, and J. Carreira(2021), Perceiver IO: A General Architecture for Structured Inputs & Outputs. arXiv preprint arXiv:2107.14795.
- Kim, Y. C., K. S. Kim, S. H. Hwang, and S. M. Yeon(2022), Prediction of Residual Resistance Coefficient of Ships using Convolutional Neural Network, Journal of the Society of Naval Architects of Korea, Vol. 59, No. 4, pp. 243-250. https://doi.org/10.3744/SNAK.2022.59.4.243
- Kim, Y. C., Y. K. Yang, M. S. Kim, Y. Y. Lee, and K. S. Kim(2020), Prediction of Residual Resistance Coefficient of Low-Speed Full Ships Using Hull Form Variables and Machine Learning Approaches, Journal of the Society of Naval Architects of Korea, Vol. 57, No. 6, pp. 312-321. https://doi.org/10.3744/SNAK.2020.57.6.312
- Vaswani, A., N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. Kaiser, and I. Polosukhin(2017), Attention is all you need. Advances in Neural Information Processing Systems, pp. 5998-6008.