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Measuring taxonomic similarity between words plays an important role in many semantic-based applications but still remains a challenging task today. We propose a new method which utilizes restrictive context matrices for this problem. We learn a set of special lexico-syntactic patterns automatically and use them to extract taxonomic related contexts of words from raw text. These restrictive contexts...
This paper investigates and simulates a coloured stochastic Petri nets model for depth evaluation intrusion detection. Network attack behaviors are very complexity sometimes, it is difficult to capture all of them. In this paper, we could realize what them happened with analyzing and simulating an intrusion. The experimental results demonstrated that the CSPN model approach was an efficient and helpful...
Aircraft have multiple disparate data sources associated with maintaining vehicle health. Storing and retrieving data for correlation, trending, and analysis from these data sources is inefficient and expensive. To enable efficient data retrieval and storage, we have implemented an innovative software system based on a common data model that is independent of the data type or vehicle platform. We...
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