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As the rapid development of the Web, automatic summarization has become more and more important for handling the huge amount of text information in the Web. This paper proposes an automatic summarization method based on compound-word recognition and keyword extraction, called CASKE. CASKE firstly recognizes the compound-words in a document, labels P.O.S. and revises word segmentation. Then, it extracts...
Context-aware computing is an important area of ubiquitous computing. To study context-aware computing, the first step is to define its main component: context. We survey the various context definitions and then adopt the definition of Deypsilas. We survey the context modeling techniques and point out the deficiencies of each technique. The purpose of this paper is to propose a formal context model...
With the widespread application of large and complicated network, network safety has become an important issue. In this paper, we design a security operation center (SOC) using an analogy of natural world immunology, We adopt an immune mechanism that distinguishes self from non-self and cooperation among immune cells of the system. This system implements each immune cell as an agent based on our multi-agent...
While most of the existing grid literatures only consider the resource pricing strategy, this paper focuses on optimizing grid resource combination, another important issue the grid service providers should address to maximize their profits. We develop an efficient algorithm for computing and maintaining all the frequent demand patterns and dynamically updating them with the incoming grid trade data...
Clustering analysis is one kind of pattern recognition that not to be supervised. The clustering algorithm based on object function resolves the clustering problem into optimization problem, thereby it becomes to the main investigatory stream nowadays. But it has some shortcomings such as its sensitivity to initial condition, and it is easy to fall in local peak. To overcome these deficiencies, ant...
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