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Peer to peer (P2P) traffic identification is a hot topic in the P2P traffic management. P2P traffic identification method based on support vector machine (SVM) is one of the most commonly used methods. However, the performance of SVM is mainly affected by the parameters and the features used. The traditional method is to separate the SVM parameter optimization and feature selection problem, it is...
Due to the fact that most of current E-learning systems have problems of insufficient personalization, this paper puts forward the idea that completes the personalized knowledge search based on the open source E-learning system, then constructs domain ontology that are used to build user interest model, and finally, this model is embedded in Notch search engine to realize the personalized knowledge...
This paper introduces the development of network engineering major and the construction of Internet of Things engineering major in Hubei University of Technology. This paper then analyzes current situation of transition from network engineering major to Internet of Things engineering major, and demonstrates design and practice of hardware curriculum group for major transition. Finally, this paper...
In order to adapt the gradual diversification, the diversification of training mode to graduate students is formed. Meanwhile, in order to satisfy the need of people's study and creation in modern society, the education to the graduates is presenting the development tendencies of the internationalization, the diversification, the modernization, and the individuation.
With the increasingly development of P2P in recent years, the operational mechanism of P2P application has varied, it's very difficult to distinguish P2P traffic from normal traffic by using single traffic characteristics. The paper put forward a method of P2P traffic identification based on multi-dimension characteristics. Extracting multi-dimension characteristics of P2P application such as ratio...
Argumentation-based interaction model in multi-agent system is based on the idea that agents not only send messages, but also give reasons to support those messages. In this paper, we propose an argumentation-based interaction model between agents and algorithms for argument evaluation. In the model, a message is constructed as the form of argument which has one or more premises and only one conclusion...
With regard to the high dimensional and small sample facial feature, this paper introduced the Kernel and Canonical Correlation Analysis (CCA) into the Locality Preserving Projections (LPP) algorithm and proposed a new face recognition algorithm based on the Kernel Base Locality Preserving Canonical Correlation Analysis (KLPCCA) with the derivation process. According to this algorithm, first use CCA...
It is an important prerequisite for sharing resources in P2P network to find and locate resources in an efficient and accurate way. In this paper, we study the P2P network resource locating technology, based on the analysis with current searching strategy's insufficiency, come up with a relatively superior solution applying mobile agent, and at the mean time analyses its advantages and offer the strategy...
A new method of text dimension reduction is brought forward based on probabilistic latent semantic analysis (PLSA) and adaptive general particle swarm optimization (AGPSO). PLSA is used to specify essential associative semantic relationships instead of the original document space. The dimension can be reduced greatly by Expectation Maximization algorithm. A crossover operator is designed to simulate...
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