참고문헌 (27)

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2. Ahuja, A., Lu, J., and Potanin, A., Rheological Predictions of Sensory Attributes of Lotions, Journal of Texture Studies, 2019, Vol. 50, No. 4, pp. 295-305. 

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3. Alisa, E., Jasmina, H., Ognjenka, R., and Edina, V., Measuring the Feeling: Correlations of Sensorial to Instrumental Analyses of Cosmetic Products, 2017, Proceedings of the International Conference on Medical and Biological Engineering, 2017, pp. 425-428. 

4. Bae, J.-E., Ryoo, J.-Y., and Kang, N.-G., Effects of Linear and Nonlinear Shear Deformation on Measurement for Stickiness of Cosmetics Using Rotational Rheometer, Korea Journal of Cosmetic Science, 2020, Vol. 2, No. 1, pp. 33-46. 

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11. He, K., Zhang, X., Ren, S., and Sun, J., Deep Residual Learning for Image Recognition, IEEE Conference on Computer Vision and Pattern Recognition, 2016, pp. 770-778. 

12. Huynh, A., Garcia A.G., Young, L. K., Szoboszlai, M., Liberatore, M. W., and Baki, G., Measurements meet Perceptions: Rheology-Texture-Sensory Relations when using Green, Bio-derived Emollients in Cosmetic Emulsions, International Journal of Cosmetic Science, 2021, Vol. 43, pp. 11-19. 

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13. Kwon, Y.-H., Kwon, H.-J., Rang, M.-J., and Lee, S.-M., A Study on Correlation between Frictional Coefficients and Subjective Evaluation while Rubbing Cosmetic Product on Skin, Science of Emotion and Sensibility, 2005, Vol. 8, No. 4, pp. 385-391. 

14. Lee, J.H. and Kim, J.J., A Study on the Influence of Package Design of Female Cosmetics on Purchasing Preference, Journal of the Society of Korea Industrial and Systems Engineering, 2004, Vol. 27, No. 3, pp. 52-58. 

15. Mittelman, R., Time-Series Modeling with Undecimated Fully Convolutional Neural Networks. ArXiv 1508.00317, 2015. 

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17. Nakano, K., Horiuchi, K., Soneda, T., Kashimoto, A., Tsuchiya, R., Yokoyama, M., A Neural Network Approach to Predict Tactile Comfort of Applying Cosmetic Foundation, Tribology International, 2010, Vol. 43, No. 11, pp. 1978-1990. 

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18. Nakano, K., Kobayashi, K., Nakao, K., Tsuchiya, R., Nagai, Y., Tribological Method to Objectify Similarity of Vague Tactile Sensations Experienced during Application of Liquid Cosmetic Foundations, Tribology International, 2013, Vol. 63, pp. 8-13. 

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19. Pense-Lheritier, A.-M., Recent Developments in the Sensorial Assessment of Cosmetic Products: a Review, International Journal of Cosmetic Science, 2015, Vol. 37, No. 5, pp. 465-473. 

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20. Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., Berg, A.C., and Li, F.-F., ImageNet Large Scale Visual Recognition Challenge, International Journal of Computer Vision, 2015, Vol. 115, pp. 211-252. 

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21. Ryoo, J.-Y., Bae, J.-E., and Kang, N.-G., Optimization of In Vivo Stickiness Evaluation for Cosmetic Creams Using Texture Analyzer, Journal of the Society of Cosmetic Scientists of Korea, 2020, Vol. 46, No. 4, pp. 371-382. 

22. Savary, G., Gilbert, L., Grisel, M., and Picard C., Instrumental and Sensory Methodologies to Characterize the Residual Film of Topical Products Applied to Skin, Skin Research and Technology, 2019, Vol. 25, No. 4, pp. 415-423. 

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23. Shin, Y.S. and Baek, D.H., A Methodology for Customer Core Requirement Analysis by Using Text Mining : Focused on Chinese Online Cosmetics Market, Journal of Society of Korea Industrial and Systems Engineering, 2021, Vol. 44, No. 2, pp. 66-77. 

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24. Vergilio, M. M., de Freitas, A. C. P., da Rocha-Filho, P. A., Comparative Sensory and Instrumental Analyses and Principal Components of Commercial Sunscreens, Journal of Cosmetic Dermatology, 2021, Early View (Online Version of Record before inclusion in an issue) as of 2021/09/17. 

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27. https://www.loreal-finance.com/en/annual-report-2018/cosmetics-market-2-1/ (2021.7.1 access). 

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