@article {414,
	title = {Application of finite volume method for solving two-dimensional Navier Stokes equations},
	journal = {Journal of Digital Information Management},
	volume = {11},
	year = {2013},
	note = {Export Date: 10 July 2014},
	month = {2013},
	pages = {321 - 326},
	abstract = {The finite volume method combines the advantage of the finite element method and the finite difference method, while overcoming their shortcomings. This paper describes the development of the finite volume method and the process of using finite volume method for fluid calculations. Finally, this paper introduces the process of using improved finite volume method for solving the flow equations of NS.},
	keywords = {Finite volume method, NS equations, Riemann},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84890477987\&partnerID=40\&md5=7acba40f69d1d5d175c6bb896216f1c4},
	author = {Ni, J. and Wei, X.}
}
@article {412,
	title = {The integration of PCA, FLD and gabor two-dimensional wavelet transformation using facial expression feature extraction},
	journal = {Journal of Digital Information Management},
	volume = {11},
	year = {2013},
	note = {Export Date: 10 July 2014},
	month = {2013},
	pages = {284 - 289},
	abstract = {In order to improve the rate of facial expression recognition. The Gabor wavelet fusion PCA+FLD method is proposed as a new method this paper. Firstly, face image preprocessing, and then carries on the two-dimensional wavelet transform Gabor, first constructed five scale eight directional wavelet filter, through the PCA+FLD method for dimensionality reduction, and finally obtaining an optimum expression a projection subspace classifier in all the optimal subspace. The experiment proves, fusion PCA, FLD and Gabor wavelet transform two-dimensional facial expression feature extraction for classifier design, facial expression recognition rate is high. The experiment proves that the new method of Gabor wavelet fusion PCA+FLD is perfect.},
	keywords = {Facial expression recognition, PCA+FLD, Two dimensional gabor wavelet},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84888357193\&partnerID=40\&md5=4efdf9679a3c503ac68ea63914484966},
	author = {Ni, J. and Li, Y.}
}
