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Recently, the employment demand has been paid a lot of attention to so that the research with respect to the forecasting methods such as linear regression, artificial intelligence and the grey prediction method have been comprehensively investigated. Since the predictive focus and the characteristics of the methods are different, the outcomes of predictions cannot achieve the accuracy by simply hybridizing...
Social media has become a very popular way for people to share their photos with friends. Because most of the social images are attached with GPS (geo-tags), a photo's GPS information can be estimated with the help of the large geo-tagged image set while using a visual searching based approach. This paper proposes an unsupervised image GPS location estimation approach with hierarchical global feature...
Data analyzing and processing are important tasks in cloud computing. The MapReduce framework has been increasingly used to analyze large-scale data over large clusters. Compared with parallel relational database, it has the advantages of excellent scalability and good fault tolerance. However, its performance is not as good as that of parallel relational database. How to efficiently implement join...
Intelligent transportation systems (ITS) based on multi-agent technology are becoming a important approach to solve complex transportation problems. The geographically distributed nature of agents in heterogeneous environments leads to implementation difficulties such as interoperability among agents, which makes demand for a unified software platform as an underlying infrastructure. This paper presents...
Full scope simulator was adopted to teach simulation practice of power plant operation in North China Electric Power University. It solves the contradiction between the safety of power plant operation and teaching practice. College students can startup, shut down the devices, adjust running parameters and treat malfunction on simulator. Compared with practice in real power plant, the teaching effect...
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