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With the explosion in the amount of semi-structured data users access and store in personal information management systems, there is a need for complex search tools to retrieve often very heterogeneous data in a simple and efficient way. Existing tools usually index text content, allowing for some IR-style ranking on the textual part of the query, but only(More)
Abstracting sensor capabilities as services is a promising approach to support interoperability and scalability in Internet of Things based applications; however, ranking and selecting these dynamic and large number of real-world services in real-time is a challenging problem, which involves decision making in the presence of multiple criteria. This paper(More)
This report presents EVolve – an extensible software visualization framework, which is used to generate visual representation of program traces. In the report we describe all available visualizations in EVolve's built-in visualization library and explain how to use these visualizations. We also explain some new features implemented on EVolve and the(More)
With the explosion in the amount of semi-structured data users access and store, there is a need for complex search tools to retrieve often very heterogeneous data in a simple and efficient way. Existing tools usually index text content, allowing for some IR-style ranking on the textual part of the query, but only consider structure (e.g., file directory)(More)
The relentless growth in capacity and dropping price of storage are driving an explosion in the amount of information users are collecting and storing in personal information management systems. This explosion of information has led to a critical need for complex search tools to access often very heterogeneous data in a simple and efficient manner. Such(More)
With the ability in addressing different types of information under uncertainty, the belief rule base (BRB) has been an efficient tool in modeling the nonlinearity of practical systems, as well as taking the experts knowledge and experience into the modeling process. However, the modeling accuracy has been the sole objective for BRB training and learning in(More)
Dimensionality reduction technologies are very important for pattern representation and recognition. Among them, locality preserving projection (LPP) is a manifold dimensionality reduction scheme and has been successfully applied to face recognition. However, LPP is an unsupervised linear approach, its performance will degrade for classification tasks.(More)
With the explosion in the amount of semistructured data users access and store in personal information management systems, there is a critical need for powerful search tools to retrieve often very heterogeneous data in a simple and efficient way. Existing tools typically support some IR-style ranking on the textual part of the query, but only consider(More)
With the development of the communication technology, the number of the mobile equipment grows rapidly. But how to maintain the consistency of the data in multiple devices has become an increasing prominent issue. In this passage, the SyncML RTK is introduced firstly. Based on this, a design and implementation of the synchronization server will be furtherly(More)
The amount of personal data that users store and access in personal information systems has grown massively. Simple flexible search tools are a necessity for users to be able to access the data they need. In addition, the file organization that is typical in file systems is not a practical logical view anymore as applications may store information across(More)