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An interactive game needs to call for multimedia data quickly for its real time and interactivity features. Its data is composed of pictures, sounds and action scripts as game roles stored on disks. Therefore, a special database management system plays important role, serving the back end for interactive games. Such a system is introduced in the paper and a relational model is built as well. Based...
Mobile business can only be used within the coverage area of the wireless networks at present. If there is some temporary utilization such as emergency business in disaster area and some conferences or link failure, the users cannot receive M-business services. Owing to the infrastructureless structure and self-organized feature of 4G system, this paper proposes 4G-based mobile business model supported...
Information extraction is one of the ways to convert unstructured text into structured records. Most of the previous work in this field are devoted to add semantic tags to specific textual content, so their structures are often plain which cannot illustrate relationships among semantic features. A novel approach, Structure Information Extraction System based on Hidden Markov Model (SIEHMM), for the...
A model of XML document is extended by considering both path and frequency information, namely the frequency-path model. Based on this model, a structural similarity calculation algorithm with position and frequency weight by longest common subsequence (PFWLCS) is proposed, which is fast and has high precision. Furthermore the selection of the position and frequency factors are discussed in depth...
Support vector machine is gaining popularity due to many attractive features and promising empirical performance in the fields of nonlinear and high dimensional pattern recognition. TSVM (transductive support vector machine) takes into account a particular test set and tries to minimize misclassifications of just those particular examples. PTSVM (progressive transductive support vector machine) can...
One text may belong to multi-class, but it can not be classified by standard SVM and other approaches. In this paper, a multi-subject text classification algorithm based on fuzzy support vector machines is proposed, 1-a-1 method is used to train sub-classifiers. For the sample to be classified, the sub-classifiers are used to obtain membership matrix, and then according to the sum of every line of...
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