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Turnout systems are one of the most critical components of railway infrastructure, and they are also an extremely vulnerable part of railway signaling systems. Failure prediction of signaling systems is an attractive area of research in the field of railway operation maintenance. In this work, we focus on the prediction of weather-related failure of turnouts since weather has significant impacts on...
It is very important and practical to make data analysis for intrusion detection based on large scale data. For the current system problem in simulation and off-line analysis, a set of system is proposed as intrusion detection and analysis for truly website. The system is integrated with two subsystems of intrusion detection and large data analysis. Through network construction and software design,...
Control of interior permanent magnet (IPMSM) is difficult because its nonlinearity and parameter uncertainty. In this paper, a fuzzy c-regression models clustering algorithm which is based on T-S fuzzy is used to model IPMSM with a series linear model and weight them by memberships. Lagrangian of constrained function is built for calculating clustering centers where training output data are considered...
Support vector machine has been widely used in the classification issues. This paper proposed a new cascade support vector machine classification algorithm CSVM with AdaBoost algorithm framework and support vector machine SVM combination to deal with the problem of multiple classifiers. for the problem of consuming time in the multi-classification problems with support vector machines, this paper...
Extension of ontology instance is the important part of ontology maintenance. In this paper, a novel and effective method is proposed to extending ontology instances from Chinese free text, which is achieved with classification using support vector machine (SVM). Firstly, classification features are extracted in terms of syntax and semantics from the training texts and the new texts based on the existed...
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