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A lot of traffic accidents are caused by driver distraction, while most existing driver attention assistance solutions need specialized hardware, which limit their wide accessibility. We present a convenient driver attention detecting system based on smartphones with dual cameras. Firstly, a feature detector describing pupil location, yaw and pitch angle of eyes, position and size of face detected...
In this paper a new vulnerability detecting method is proposed to detect buffer boundary violations. The main idea is to use the metric of array index manipulation rather than using any heuristic method. We employ a SVM-based classifier to classify the vulnerable functions and innocent functions. Then the vulnerable functions are fed to function call graph guided symbolic execution to precisely determine...
We proposes a negative selection algorithm with variable-sized r-contiguous matching rule. The value of r can be used to balance between more generalization or more specification. A fixed r reaches a rough balance. We expect a variable-sized r to reach a refined balance. Experiments are performed to test the algorithm. Comparison to traditional negative selection algorithm and one-class SVM are conducted...
Based on the good property of fractional Fourier transform (FRFT), two kinds of features of an image are extracted, i.e., the FRFT coefficients of image histogram and the histogram of image FRFT coefficients. Then, blind steganalysis is implemented to the features by using the support vector machine (SVM). The performance with respect to the two features is evaluated and compared by simulation. The...
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