In this paper, we propose a variant of the Empirical Mode Decomposition method to decompose multiscale data into their intrinsic mode functions. Under the assumption that the multiscale data satisfy certain scale separation property, we show that the proposed method can extract the intrinsic mode functions accurately and uniquely.

Climate modeling encompasses an enormous range of spatial and temporal scales. One of its great remaining challenges is bridging the scale gaps between global climate processes, basinscale and regional impacts, and smaller-scale ecosystem dynamics. Improving and accessing enhanced computational resources will help bridge this gap. Nonetheless, enhanced computer power alone is insufficient witho...

Similarity measure is a key issue in evaluation of map generalization, object matching and object recognition. The measures of similarity include shape similarity, location similarity and semantic content similarity (Frank & Ester, 2006). Among these similarity measures, the shape similarity measure is very important because of the easy collecting of the necessary parameters and the well matchi...

This paper presents the on-going research steps aiming at the development of a Method for Multi-scale Modeling and Simulation of Assembly System. The focus lies on the Assembly System Base Model and its integration into the whole method. After motivating the research, the developed method and the conceived model of the assembly system is introduced, by using the proposed methodology. The presen...

LU Rui XU De LI Bing Institute of Computer Science and Engineering Beijing Jiaotong University Beijing,100044 CHINA [email protected] [email protected] [email protected] Abstract:Image completion is a challenging problem in computer graphics and computer vision. It refers to the problem of automatically filling holes in images left by the unwanted objects removal in a plausible way. Unlike previou...

A heuristic method for solving large-scale multi–facility location problems is presented. The method is analogous to Cooper’s method [3], using the authors’ single facility location method [20] as a parallel subroutine, and reassigning customers to facilities using the heuristic of Nearest Center Reclassification. Numerical results are reported.