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8 results on '"Cui, Aiju"'

3. An adaptive and rapid 3D Delaunay triangulation for randomly distributed point cloud data

Author

Song Zhuanling, Liu Haixing, Lin Zhou, Wen Wang, Zhendong Liu, Li Xinfang, Jia Zhen, Cui Aiju, Tianyun Su, and Ding Ming

Subjects
Basis (linear algebra), Computer science, Delaunay triangulation, Point cloud, Triangulation (social science), 020207 software engineering, Hilbert curve, 02 engineering and technology, Computer Science::Computational Geometry, Computer Graphics and Computer-Aided Design, Regular grid, 0202 electrical engineering, electronic engineering, information engineering, Point location, 020201 artificial intelligence & image processing, Point (geometry), Computer Vision and Pattern Recognition, Algorithm, Software
Abstract

Incremental algorithms are among the most popular approaches for Delaunay triangulation, and the point insertion sequence has a substantial impact on the amount of work needed to construct Delaunay triangulations in incremental algorithm triangulation. In this paper, 2D adaptive Hilbert curve insertion, including the method of dividing 3D multi-grids and adjusting the 3D adaptive Hilbert curve to avoid the “jump” phenomenon, is extended to 3D Delaunay triangulation. In addition, on the basis of adaptive Hilbert curve insertion, we continue to optimize the addition of control points by selecting control points in every order and every grid level. As a result, the number of conflicting elongated tetrahedra that have to be created and deleted multiple times and the number of search steps for positioning inserted points can both be reduced. Lastly, a new comparison method is used in the point location process to solve the precision problem in 3D Delaunay triangulation. As shown by detailed experiments and analysis, compared with previous adaptive Hilbert curve insertion, CGAL, regular grid insertion, multi-grid insertion and random insertion, the proposed 3D Delaunay triangulation is the most efficient for both artificial and real surface sampling point sets.

Published
2020

8. Graphene oxide–TiO2 composite filtration membranes and their potential application for water purification.

Author

Xu, Chao, Cui, Aiju, Xu, Yuelian, and Fu, Xianzhi

Subjects
*GRAPHENE oxide, *TITANIUM dioxide, *MEMBRANE separation, *ARTIFICIAL membranes, *WATER purification, *DISPERSION (Chemistry)
Abstract

Abstract: Graphene oxide-particle composite films with filtration function have been successfully synthesized by a two-step method. First, graphene oxide–TiO2 composite sheets are prepared, which can form stable dispersion in water. Then, by assembling these composite sheets, graphene oxide–TiO2 films are obtained. In these as-prepared films, dilated space and channels are desirably formed by introducing nanoparticles between these carbon sheets, making them promising separation membranes. We used these films as filtration membranes to remove dye molecules (methyl orange and rhodamine B) from water. The results show that apart from the adsorption capacities of these dyes, these graphene oxide–TiO2 films can also capture additional amount of dye molecules, indicating their potential applications in water purification areas. [Copyright &y& Elsevier]

Published
2013
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