과제정보
본 결과물은 농림식품기술기획평가원의 농업용수 물순환 계측 테스트베드 운영 및 물관리 시스템 개발 사업(322081-3)과 2023년도 강원대학교 대학회계 학술연구조성비로 연구가 진행되었습니다.
참고문헌
- Alan, T.M. (2010). "Advances in location modeling: GIS linkages and contributions." Journal of Geographical Systems, Vol. 12, pp. 335-354. https://doi.org/10.1007/s10109-009-0105-9
- Anthony, J.M., Robert. N.F., Yang. L., Nathaniel. A.W., and Steven. D.B. (2004). "An introduction to decision tree modeling." Journal of Chemomertics, Wiley, Vol. 1, No.18, pp. 275-285.
- Baldi, P. (2012). "Autoencoders, unsupervised learning, and deep architectures." In Proceedings of ICML Workshop on Unsupervised and Transfer Learning, PMLR, Scotland, pp. 37-49.
- Baliunas, S., Frick, P., Sokoloff, D., and Soon, W. (1997). "Time scales and trends in the central England temperature data (1659- 1990): A wavelet analysis." Geophysical Research Letters, Vol. 24, No. 11, pp. 1351-1354. https://doi.org/10.1029/97GL01184
- Chan, T.F., and Shen, J. (2005). Image processing and analysis: variational, PDE, wavelet, and stochastic methods. Society for Industrial and Applied Mathematics, SIAM, Philadelphia, PA, U.S.
- Chen, Z., Yeo, C.K., Lee, B.S., and Lau, C.T. (2018). "Autoencoderbased network anomaly detection." Wireless Telecommunications Symposium, IEEE, Phoenix, AZ, U.S., pp. 1-5.
- Cho, J.H., Choi, J.H, Kim, Y.S., Yeon. J.H., Lee. S.J., and Ji, B.J. (2022). "A study on the prediction of slope collapse based on LSTM Autoencoder." Gangwon Agricultural Life and Environment Research, Vol. 34, No. 3, pp. 345-353.
- Choi, J., Lim, K.J., and Ji, B. (2023). "Robust imputation method with context-aware voting ensemble model for management of water-quality data." Water Research, Vol. 243, 120369.
- Chun-Lin, L. (2010). A tutorial of the wavelet transform. NTUEE, Taiwan.
- Creswell, A., and Bharath, A.A. (2018). "Denoising adversarial autoencoders." IEEE Transactions on Neural Networks and Learning Systems, Vol. 30, No. 4, pp. 968-984. https://doi.org/10.1109/TNNLS.2018.2852738
- Davis, P.J. (1975). Interpolation and approximation. Courier Corporation, MA, U.S.
- De Moortel, I., Munday, S.A., and Hood, A.W. (2004). "Wavelet analysis: The effect of varying basic wavelet parameters." Solar Physics, Vol. 222, No. 2, pp. 203-228. https://doi.org/10.1023/B:SOLA.0000043578.01201.2d
- Escobar, F., Hunter, G., Bishop, I., and Zerger, A. (2008). Introduction to GIS, accessed 13 December 2023, .
- Eva, O., and Oskar, O. (2012). "Forecasting using simple exponential smoothing method." Acta Electrotechnica et Informatica, ISSN, Vol. 12, No. 3, pp. 62-66.
- Fourier, J.B.J. (1822). Theorie analytique de la chaleur. Firmin Didot, Paris.
- Glowacz, A. (2014). "Diagnostics of direct current machine based on analysis of acoustic signals with the use of symlet wavelet transform and modified classifier based on words." Eksploatacja i Niezawodnosc, Vol. 16, No. 4, pp. 554-558.
- Graham, J.W. (2009). "Missing data analysis: Making it work in the real world." Annual Review of Psychology, Vol. 60, pp. 549-576. https://doi.org/10.1146/annurev.psych.58.110405.085530
- Heil, C.E., and Walnut, D.F. (1989). "Continuous and discrete wavelet transforms." SIAM Review, Vol. 31, No. 4, pp. 628-666. https://doi.org/10.1137/1031129
- Hinton, G.E., and Salakhutdinov, R.R. (2006). "Reducing the dimensionality of data with neural networks." Science, Vol. 313, No. 5786, pp. 504-507. https://doi.org/10.1126/science.1127647
- Jo, H.Y. (2009). "A study of constructiong index fund using wavelet analysis." The Journal of Information Systems, Vol. 18, No. 3, pp. 351-373.
- Jonathan, M.L., and Sofia. C.O. (2010). "On the analytic wavelet transform." IEEE Transactions on Information Theory, IEEE, Vol. 56, No. 8, pp. 4135-4156. https://doi.org/10.1109/TIT.2010.2050935
- Kang, S.M., Park, M.J., Kim, S.H., and Kim, S.J. (2007). "A study on the mitigation of inundation damage using flood inundation analysis model FLUMEN." Academic Presentation of the Korean Water Resources Association, pp. 815-819.
- Kim, D.K. (2019). "Introduction to machine learning." Korean Society Of Facilities Engineering. Vol. 48, pp. 80-82.
- Kim, H.L., Han. K.Y., and Lee. J.Y. (2020). "Predicition of urban flood extent by lstm model and logistic regression." Journal of the Korean Society of Civil Engineers, ISSN, Vol. 40, No. 3, pp. 273-283.
- Ko, J.P. (2005). "Solving multi-class problem using support vector machines." Journal of Information Science Society, Vol. 32, No. 12, pp. 1260-1270.
- Kuo, H.H. (2018). White noise distribution theory. CRC press, Boca Raton, FL, U.S.
- Kwon, H.S., and Lee, M.H. (2023). "Stock index forecasting using combined model of wavelet transform lstm and multi-head attention." Vol. 40, No. 2, pp. 97-112.
- Lee, D.T., and Yamamoto, A. (1994). "Wavelet analysis: theory and applications." Hewlett Packard journal, Vol. 45, p. 44.
- Lee, M.H., Park. J.S., and Won. Y.S. (2022). "Future of flood forecasting considering flood damage phenomenon." Journal of the Korean Meteorological Society's Academic Conference, p. 226-226.
- Lewis, C.D. (1982). Industrial and business forecasting methods. Butterworths, London.
- Morlet, J., and Grossmann, A. (1984). "Decomposition of hardy function into square integrable wavelets of constant shape." SIAM Journal on Mathemactical Analysis, Vol. 15, No. 4, pp. 723-736. https://doi.org/10.1137/0515056
- Oberg, G., Metson, G. S., Kuwayama, Y., and A. Conrad, S. (2020). "Conventional sewer systems are too time-consuming, costly and inflexible to meet the challenges of the 21st century." Sustainability, Vol. 12, No. 16, 6518.
- Oh, J.h., and Seo, K.D. (2011). "Analysis of the intensity and duration of typhoons on the Korean Peninsula using wavelet analysis." Collections of Academic Conferences of the Korean Chosun Association, pp. 2040-2043.
- Reilly, J., and David, S. (2000). "Irreversibility, uncertainty, and learning: Portraits of adaptation to long-term climate change." Climatic Change, Vol. 45, No. 1, pp. 253-278. https://doi.org/10.1023/A:1005669807945
- Sifuzzaman, M., Islam, M.R., and Ali, M.Z. (2009). "Application of wavelet transform and its advantages compared to fourier transform." Journal of Physical Sciences, ISSN, Vol. 13, pp. 121-134.
- Sridhar, S., Kumar, P.R., and Ramanaiah, K.V. (2013). "Daubechies, coiflet, symlet and biorthogonal wavelet transforms for effectual image compression and analysis of fidelity measures." I-Manager's Journal on Digital Signal Processing, Vol. 1, No. 2, pp. 1-9. https://doi.org/10.26634/jdp.1.2.2326
- Umberto, M. (2022). "An introduction to autoencoder." arXiv Preprint, arXiv:2201.03898.
- Yu, Y., Si, X., Hu, C., and Zhang, J. (2019). "A review of recurrent neural networks: LSTM cells and network architectures." Neural Computation, Vol. 31, No. 7, pp. 1235-1270. https://doi.org/10.1162/neco_a_01199