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Accurately predicting driving service orders in different regions is an essential task for service companies, in order to improve the service quality. In this paper, a specific ensemble multi-view prediction framework is proposed to address this task. It ensembles several different multi-view-based models with a weighted linear combination. Specifically, we have designed three specific multi-view-based...
This study aims to solve the problems of urban road congestion caused by traffic accident with the premise that the accident scene is preserved. First, taking the definite length of the vehicle team as a fixed value and transforming the time issue that it has experienced into a transporting issue of sales volume. And then the corresponding optimization model is established. Finally, the method is...
The inconsistent diagnostic information often occurs in fault diagnosis of complex equipments. In order to improve the diagnosis precision, an integrated fault diagnosis method is proposed based on variable precision rough set (VPRS) and Naive Bayesian network classifier (NBNC). Firstly, according to the relative discernibility of the original fault diagnosis decision table, the β in VPRS is self-determined...
In this study, an improved ${{\mbi{T}}_{\mbi{B}}}$ model is proposed on the basis of the SSA model and Monahan foam coverage model. A 22-month matched dataset from the Aquarius observation and Argo buoys was collected to build the improved model. However, it was determined that the wind-induced emissivity calculated from the SSA model at low wind speed (WS) displays obvious deviation compared with...
As the popularity of WebVR applications rises in recent years, a great disparity exists between the huge 3D content on servers and the limited cache capacity on clients. In order to alleviate server loading, peer-to-peer (P2P)-based 3D content distribution has been proposed recently. However, given the limited cache sizes at clients, how to maintain and replace the cache content effectively becomes...
Ontology Model and Semantic Link Network (SLN) are two important semantic data models in Semantic Web. Ontology Model can describe network resource in concept space, while SLN can describe various links and relations between network resources. Combination of Ontology Model and SLN can help to improve the effect of network resource retrieval, but data transfer and exchange between ontological knowledge...
Real time traffic information is one of the most important features of Dynamic Vehicle Navigation Systems (DVNS). Research on improving the performance and accuracy of navigation systems has been focused on algorithm design and data modeling in navigation clients. However, traffic data organization, an important factor limiting system performance, has received little attention. This paper presents...
The efficient achievements management is much significance for the development of basic scientific research, and so all of the knowledge resources of achievements should be managed. In order to integrate the different types of knowledge resources of basic research achievements, this paper proposes a supernetwork model of knowledge resources. First, the person network, the material network and the...
With the development of geoscience and semantic technologies, more and more earth systems begin to use ontology in its system model designing. In this paper, we analyze the current main works of designing and using ontologies in geo-science domain from their architecture and components. By the analysis, we conclude that geo-science ontology infrastructure will be the key of new geo-science system,...
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