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In order to reduce the icing accidents of transmission lines, the prediction of icing thickness on transmission lines will be able to effectively guide the anti-icing work of power grid. In this paper, a short-term prediction model based on grey support vector machine for icing thickness of transmission lines is proposed, and the elimination of dirty data and the method of data preprocessing are analyzed...
In this paper, we propose a credit scoring algorithm to predict seceders of a large Japanese company. We use features based on attributes of customer and genetic algorithm based Bayesian network to detect the seceders. Experimental results on the datasets demonstrate that this method has superior results compared with other recently proposed algorithms, and shows that the proposed method is efficient...
The study aims at seeking the interrelationship and origin of the basic electricity, mobile electricity, power adjustment charges, additional super-charges, and line subsidy payments of the high-pressure two-stage electricity users (Far East University), according to the average of monthly temperature and tariff structure calendar year. Using fuzzy theory to analyze and simulate the peak electricity...
With the rapid expanse of the web service over the internet, discovering relevant web services becomes a significant challenge. To tackle this problem, a service-discovering framework based on behavioral equivalence is proposed in this paper. First, pi-calculus as a formal tool is adopted to express service behavior, including the published services and the query services. Then, the reverse engineering...
In the current product development, collaboration between participants claims more attention. Especially with the advance of Web Service and Semantic Web, semantic collaboration among participants over the internet is prosperously developing. In this paper, we propose a semantic paradigm to integrate customer demands and product designs by following the MDA (Model-Driven Architecture) mode. Platform...
Information retrieval is the essential task for traffic information service system in intelligent transportation systems (ITS). There a lot of fuzzy traffic information derived from human factor. To achieve fuzzy semantic retrieval, this paper proposes an approach using resource description framework (RDF) and fuzzy ontology. First, we apply RDF data model to represent traffic information on the semantic...
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