This paper presents an algorithm based on the intelligent linkage with the application of parametric CAD in constraint solving. Our algorithm improves the geometric construction and complexity. Furthermore, by integra...
详细信息
This paper presents an algorithm based on the intelligent linkage with the application of parametric CAD in constraint solving. Our algorithm improves the geometric construction and complexity. Furthermore, by integrating with other methods, such as the LIM0 method, geometric transformed method, C-Tree method, numerical method and so on, we can build a complete geometric constraint solving framework which solves the 2D and 3D geometric constraint and can automatically give the construction. We also develop a dynamic geometric intelligent software based on the presented algorithm and the results demonstrate the significant performance.
This paper novelly introduces the least-square method for dynamically estimating traffic state in urban road system. Using GPS data of taxis, it establishs a model to compute the states of traffic flow in a city road ...
详细信息
This paper novelly introduces the least-square method for dynamically estimating traffic state in urban road system. Using GPS data of taxis, it establishs a model to compute the states of traffic flow in a city road network. The boundary conditions, the degenerated cases of the model, illness condition of least-square algorithm are well considered in the research. The experiments show that the model is correct and can be used in many applications of intelligent transportation system.
This paper proposes a new approach to extract topic words at different levels in any specific *** method is based on the statistic features of terms in large amount text documents:term frequency and inverse document *...
详细信息
This paper proposes a new approach to extract topic words at different levels in any specific *** method is based on the statistic features of terms in large amount text documents:term frequency and inverse document *** experiments in Chinese have indicated that the words mined out are basically coincident with the objective ***,this approach is helpful for utilizing computer to discovery the semantic relationships between words.
Proposes an approach to extracting topic words at different levels in any specific domain. The method is based on the statistic features of terms in a large amount of text documents: term frequency and inverse documen...
详细信息
Proposes an approach to extracting topic words at different levels in any specific domain. The method is based on the statistic features of terms in a large amount of text documents: term frequency and inverse document frequency. Preliminary experiments in Chinese have indicated that the words mined out are basically coincident with the objective reality. So, this approach is helpful for utilizing computers to discover the semantic relationships between words.
暂无评论