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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)
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)
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)
Optimization of cutting path in edge-shared rectangular plate has been employed for reducing displacement distance of cutting tool and increasing work efficiency.A new hybrid algorithm that incorporates the graph theory into the genetic algorithm is presented in this paper.The algorithm is based on genetic algorithm to solve optimum matching problem of(More)
The availability of a communication channel that could be everywhere accessible, possibly via wireless devices is a constant matter for the police force. The well-developed public cellular network infrastructure and widespread mobile device can provide with such features, but the lack of security makes it unsuitable for transmitting confidential data. In(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)
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)
A Reconfigurable Analog Processor (RAP), based on the Field-Programmable Analog Array (FPAA) architecture, is designed for mixed-signal processing. The use of coarse-grained, Heterogeneous Configurable Analog Blocks (Hetero-CABs) in the FPAA architecture breaks through the former FPAA design limitations. Both low power design and flexibility are achieved.(More)