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Accurate network traffic classification is significant to numerous network activities, such as QoS and network management etc. While port-based or payload-based classification methods are becoming more and more difficult, Machine Learning methods are promising in many aspects. In this paper, we improve the standard Random Forest by setting the variable(More)
In order to enhance the accuracy of multi-pose and multi-expression face detection, this paper proposes an algorithm based on multi-orientation Gabor feature fusion of mean and variance of subimages. Firstly, to remove the huge background regions, we segmented images based on YCbCr space and then used two-eye templates to locate faces in skin-color regions(More)
Oriented nano-microstructure-assisted controllable fabrication, a facile and versatile preparation strategy, is developed to fabricate metal-organic framework (MOF) membranes. With this method, several MOF membranes with tailored structures are prepared, including HKUST-1 (with 3D pores) and M3 (HCOO)6 (with 1D pores; M = Co, Mn, and Mg) membranes, which(More)
The generalization ability of multiple kernel support vector machines is better than the single kernel ones. If the training datasets are large scale, solving the optimal multiple kernels' combination coefficients with semidefinite programming method is difficult, and the time-consuming is large. We use K-means Clustering algorithm in kernel space to reduce(More)
Distributed Denial of Service (DDoS) has already been one of the most serious threats to network security, and entropy-based approaches for DDoS attack detection are appealing since they provide more detailed insights than traditional traffic volume-based methods. In this paper, we propose a novel entropy-based DDoS attack detection approach by constructing(More)
This paper studies the method of using word clouds to visualize 110 incidents data. It has been reported that word clouds have become a simple and visual appeal of the visualization method for text. Lots of data are stored in the police intelligence system without a novel visualization method. In this study, we therefore explore the possibility of using(More)
A large-scale Reconfigurable Analog Processor (RAP), based on Field Programmable Analog Array (FPAA), and assisted by Configurable Digital Block (CDB), is introduced. Fine-grained Configurable Analog Blocks (CABs) are used in the FPAA structure for flexibility. Almost all analog functions can be realized through RAP and the digital parts further enhanced(More)