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1. CAH B-Spline Curves and Its Applications | |||
Xie Jin | |||
Computer Science and Technology 28 May 2012 | |||
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Abstract:A kind of quasi-cubic uniform B-spline curves (briefly CAH B-spline curves) unified by algebraic and hyperbolic polynomial using weight method is presented in this paper. Here weight coefficients are called weight parameters. The interval [0, 1] of weight parameter values can be extended to [-62.1748, 12.6061]. The curves can include cubic B-spline curve as special case and reach the both sides of cubic B-spline curve. Not only can the shape of the curve be adjusted totally or locally, but also the type of some segments of a blending curve can be switched by taking different values of the weight parameters. If letting weight parameters be 31.0739, the curve can interpolate certain control points directly without solving system of equations. The defined curves can be used to precisely represent some conics and transcendental curves with the weight parameter and the positions of the control points chosen properly. | |||
TO cite this article:Xie Jin. CAH B-Spline Curves and Its Applications[OL].[28 May 2012] http://en.paper.edu.cn/en_releasepaper/content/4479870 |
2. Applying Collaborative Filtering Techniques for Individual Fashion ecommendation | |||
Lei Jianlan,Wang Jin,Lu Guodong | |||
Computer Science and Technology 28 December 2009 | |||
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Abstract:Collaborative filtering (CF) technique is the most successful method for recommendation system. In this article, we developed a fashion recommendation system by using CF technique. In order to improve on data sparseness problems in CF technique, firstly we built users’ similarities based on users’ background information which is related with fashion, then the neighbors’ predicting ratings were filled into the U-I rating matrix in advance before the traditional collaborative filtering. While computing the background information similarities, we develop a hybrid similarity model which can deal with different types of properties. The method can solve the data sparseness of U-I rating matrix effectively. | |||
TO cite this article:Lei Jianlan,Wang Jin,Lu Guodong. Applying Collaborative Filtering Techniques for Individual Fashion ecommendation[OL].[28 December 2009] http://en.paper.edu.cn/en_releasepaper/content/38147 |
3. TRIZ in 3D Garment CAD | |||
Li Weilong,Wang Jin,Lu Guodong | |||
Computer Science and Technology 28 December 2009 | |||
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Abstract:The 40 inventive principles of TRIZ are useful methods for solving engineering design problem. 3D garment CAD is significant for improve the efficiency and level of fashion design. This article describes the application of these principles of TRIZ in three-dimensional garment CAD. Based on the characteristics and requirements of fashion design, the author analyze the basic meaning of these inventive principles, and use them in the research and application three-dimensional garment CAD, such as decomposition and combination of apparel components, clothing structural design, setting of clothing color and pattern library, inter-conversion between three-dimensional mesh of clothing and two-dimensional pieces and so on. Some examples show that the application of these principles is feasible and effective. | |||
TO cite this article:Li Weilong,Wang Jin,Lu Guodong. TRIZ in 3D Garment CAD[OL].[28 December 2009] http://en.paper.edu.cn/en_releasepaper/content/38143 |
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