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Digital technology integration in schools and what this means for teaching and learning plays an significant role in shaping the education environment. There has been a growing body of literature addressing students' perceptions towards technology integration. A large amount of student and teacher self-reported questionnaire or survey data therefore has been collected for different modelling purposes...
In recent years, constructing regulatory networks using gene expression data has received extensive attentions. From Boolean network, Bayesian network to Module network, a number of models have been applied in order to learn the regulatory networks more accurately. The statistical power of network modeling is directly affected by sample size of available expression data used as training data. However,...
In many countries including Australia, residential utility consumption, as a primary measurement of infrastructure service at local and state levels, is affected by many influential factors such as different varieties of utilities, local community profiles and regional climate conditions. Due to the fact that the information of a regional residential utility consumptions and their influential factors...
Multiple periodic factor prediction (MPFP) problems exist widely in multisensor data fusion applications. Development of an effective prediction method should integrate information for multiple periodically changing factors. Because the uncertainty and periodicity coexist in the information used, the prediction method should be able to handle them simultaneously. In this study, complex fuzzy sets...
Insider threat has become the main vector of data leakage. Existing research on it mainly focuses on sensing and detection without defense capabilities. Meanwhile, traditional technologies for data leakage prevention rely on the terminal or boundary control which is difficult for data leakage in distributed environment. This paper presents an active data leakage prevention model for insider threat...
This paper analyzes the intrinsic characteristic of mass data and introduces how to classify them. Then illustrates some principles in design of the data storage model according to the classification and points out some problems need to be noticed to design an efficient and stable database system.
When doing test activities using TTCN-3, achieving Codec needs testers to write a lot of codes. In order to reduce testing cost, this paper proposes a method to automatically generate Codec. The method firstly defines an abstract model for TTCN-3 test suites, TTCN-3 type tree, and then, we issue the method contains three algorithms, including the algorithm of establishing TTCN-3 type tree according...
This paper analyses the architecture of current secure file system and the security needs for protection of intellectual property rights and especially the major problems of it. Then we propose a secure data container model based on data encapsulation from the realization concept of virtual file system (VFS) in Linux. Based on this model, we design and implant a secure file system IPR-SFS on Windows...
Models of agent and ABDIDSS (ABDIDSS--distributed intelligence decision support system based on multi-agents) are defined in this paper. Approximation spaces of the agent reasoning in ABDIDSS are built up. Rough set on approximation spaces is defined. Reasoning in ABDIDSS may be realized through the means of establishing decision trees. Multi – agents comprehending to definable sets, synthesis operation...
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