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Feature extraction is of great importance in condition monitoring and fault diagnosis of rolling machinery. Nonlinear dimensionality reduction (NDR) theories brought a new idea for recognizing and predicting the underlying nonlinear behavior. In this paper, we propose a NDR based feature extraction method for fault classification of rolling element bearing. Original feature spaces are constructed...
Web service plays an important role in implementing service oriented architecture (SOA) for achieving dynamic business process. With the increased number of Web services advertised in public repository, it is becoming vital to provide an efficient Web service discovery and selection mechanism with respect to a userpsilas requirement. Considerable efforts have been made to solve this problem among...
We investigate exploiting the class specific information in the conventional perceptual edge grouping for the task of object extraction, since the domain information is usually available in practice. Instead of applying the classical Gestalt principles, we turn to learn a class specific probabilistic structure model from training images. During the learning, both geometrical and photometric features...
We study the satellite image analysis problem with focus on extracting the man-made buildings. Instead of assuming simple rectangular building shape as in the most of previous work, we apply probabilistic learning method to statistical modeling the building structures. The model can achieve high robustness to large shape variation. We also propose a novel energy function to incorporate the statistical...
Basing on the discourse about traditional model of the securities markets pricing mechanism, and considering the reality of the "absence of the liquidity supplier" in our country's security markets, this paper works out a dynamic stochastic matching pricing model basing on Markov tactics of the traders. And by the empirical testing, it vitrifies the basic hypotheses of the model.
Web service discovery is one of the most important problems in implementing Service Oriented Architecture. Several approaches have been proposed to solve this problem among which semantic based web service discovery has been attained much importance by researchers in academic and industry community. However, there is a challenge in semantic web service discovery process, that is, among the retrieved...
Web service is essential in achieving dynamic business process. With the dramatically increased number of Web services advertised in UDDI, Web Portal or Internet, how to locate the best Web service according to a user's requirement is becoming more and more important, which calls for efficient and effective Web service discovery mechanism. Considerable efforts have been attained in solving this problem...
In artificial immune optimization algorithm, the mutation of immune cells has been considered as the key operator that determines the algorithm performance. Traditional immune optimization algorithms have used a single mutation operator, typically a Gaussian. A mixed mutation strategy may be more efficient than a single one. In view of this, a mixed mutation strategy using Gaussian and Cauchy mutations...
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