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Monitoring and tracking of IP traffic flows are essential for network services (i.e. packet forwarding). Packet header lookup is the main part of flow identification by determining the predefined matching action for each incoming flow. In this paper, an improved header lookup and flow rule update solution is investigated. A detailed study of several well-known lookup algorithms reveals that searching...
Reliable fault diagnosis and potential remaining useful life (RUL) predication before the occurrence of fatal failure in machinery is critical for improving productivity and reducing maintenance cost. However, the existing physics heuristics and neural networks based methods face difficulties to treat such two issues simultaneously. This paper proposes a novel Network of Extreme Learning Machines...
The Network Address Translation (NAT) technique resolved the IPv4 address shortage problem effectively. Meanwhile, it brings issues to network management. Unauthorized NAT devices may be a significant security problem. Attackers may conduct malicious activities by using computers hidden behind unauthorized NAT. The remote NAT detect algorithm is proposed based on support vector machine method. Different...
Sentiment classification is very useful in many applications such as analysis of product reviews in e-business applications and media opinion mining. In this paper, a novel method to tag words sentiment automatically is proposed. In this method, a word association graph is firstly constructed from text corpus, i.e. product reviews, in which each node is a word and if there is an edge between two words,...
Unauthorized network address translation (NAT) devices may be a significant security problem. They provide unrestricted access to any number of hosts connecting to them. Some attackers may use computers hidden behind NAT devices to conduct malicious activities such as denial of service. An algorithm is proposed in this work to detect hosts hidden behind NAT. Different from previous researches, the...
An algorithm was proposed to recognize characters based on optimal wavelet packet (WP), Zernike moments and fuzzy integral. At first, optimal wavelet decomposition of the given character image was gotten by fuzzy rules, and characters in training set were put into n subspaces through optimal wavelet packet. Then, for each subspace, the Zernike moments were employed to get the mean membership grades...
Detecting multi-view faces is a challenging task, not only because of the face variations in scale, illumination, and expression, but also of the variations caused by multiple views. In this paper, we proposed a multi-layer cascaded architecture, which can focus attention on the promising regions of the image. The whole classifiers are only evaluated on the face like parts of the image, while the...
Making use of block information in Web IR and Data Mining tasks calls for a good understanding of the function of each block. Existing works on classifying block functions and judging block importance have not made full use of the image factor, and only simple image features were considered. We regard image as a strong indicator of Web page blocks with various functions and propose to learn block...
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