[연세대학교] 석사 디펜스 발표자료 (Deep Learning 분야)

소개

"[연세대학교] 석사 디펜스 발표자료 (Deep Learning 분야)" 관련 자료입니다.

목차

1. Research background
2. Research objective
3. Classification models
4. Regression model
5. Summary
6. Conclusion & Future work
7. References

본문내용

• The characteristics of an automotive vehicle are revealed through the noises it generates.
• Vehicle noise is one of the most influential factors that people take into consideration when purchasing a car.
• Exhaust noises from vehicles have been the focus of attention in the development of automotive brands, and their importance has continued to grow as the automotive industry has become increasingly large.

참고자료

· S. Moon, S. Park, D. Park, W. Kim, M. Yun, D. Park, A study on affective dimensions to engine acceleration sound quality using acoustic parameters, Applied Sciences 9 (2019) 604.
· H. Huang, J. Wu, X. Huang, M. Yang, W. Ding, The development of a deep neural network and its application to evaluating the interior sound quality of pure electric vehicles, Mechanical Systems and Signal Processing 120 (2019) 98-116.
· Swart, A. Bekker, J. Bienert, The subjective dimensions of sound quality of standard production electric vehicles, Applied Acoustics 129 (2018) 354-364.
· T. Poggio, H. Mhaskar, L. Rosasco, B. Miranda, Q. Liao, Why and when can deep-but not shallow-networks avoid the curse of dimensionality: a review. International Journal of Automation and Computing 14(5) Q. (2017) 503-519.
· A. Zouani, S. Hanim, Overview of noise and vibration in automotive engines, International Journal of Vehicle Noise and Vibration 12(2) (2016) 162-181.
· I. Goodfellow, Y. Bengio, A. Courville, Deep Learning, MIT Press, 2016.
· Blundell, Charles, J. Cornebise, K. Kavukcuoglu, D. Wierstra, Weight uncertainty in neural networks, arXiv preprint arXiv:1505.05424 (2015).
· W. Cho, J. Ih, S. Shin, J. Kim, Quality evaluation of car window motors using sound quality metrics, International Journal of Automotive Technology 12(3) (2011) 443-450.
· K. Genuit, The sound quality of vehicle interior noise: a challenge for the NVH-engineers, International Journal of Vehicle Noise and Vibrations 1 (1/2) (2004) 158-168.
· D. Byun, The AHP approach for selecting an automobile purchase model, Information & Management 38(5) (2001) 289-297.
· L. Dedene, R. Valgaeren, M. Overmeire, P. Guillaume, Correlation of subjective sound perception of exhaust systems with sound quality metrics, in: Proceedings of the Society for Experimental Mechanics, Inc, 16th International Modal Analysis Conference, 1007–1013, 1998.