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It is a big challenge to guarantee the quality of discovered relevance features in text documents for describing user preferences because of large scale terms and data patterns. Most existing popular text mining and classification methods have adopted term-based approaches. However, they have all suffered from the problems of polysemy and synonymy. Over the years, there has been often held the hypothesis...
Nowadays as low carbon economy is greatly advocated worldwide, the electricity consumption caused by a huge number of embedded computer systems is gaining more and more attention. Different instruction set, software algorithm and high-level software architecture can significantly affect the system energy consumption. In this paper, we first analyze the relations between software power consumption...
In embedded systems, the frequent execution of software drives the activities of hardware, which causes the energy consumption of systems. In this paper, we first propose an improved C source-level code program energy model by considering the energy consumption of instruction fetching phase, in which a accurate energy algorithm is used. Then, we implement a method to dynamically calculate the run-time...
Aiming at the requirements of the complicated structure of the express highway circling centre city, and the high dependent degree of the traffic flow guidance, a model of the travel time prediction is proposed which based on the data fusion of the dynamic real-time collection data and the historical traffic data. According to the real-time collection data, one prediction value is calculated through...
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