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As mobile devices are battery powered and have less computing resources, plenty of research has been conducted on how to efficiently offload computing-intensive tasks in a mobile application to more powerful counterpart. However, prior research either implicitly assumes that the computing-intensive tasks are known in advance or the application developers will make special notations about them. In...
The variable geomagnetic field contains a variety of components from various sources. It has different variation characteristics at each time scale. In this paper, a method of modeling and forecasting the variable geomagnetic field at multiple time scales is presented. Firstly, we develop a magnetic trend variation model at day scale, a magnetic daily variation model at hour scale, and a short period...
Due to the nonlinear and nonstationary of river water turbidity, a novel hybrid forecasting model based on phase space reconstruction and support vector regression (PSR-SVR) is proposed. Firstly, the embedding dimension is chosen by using the false nearest neighbor method, and the time delay is obtained by the average mutual information. The phase space is reconstructed from the time series with the...
Automated traffic surveillance systems are widely used in intelligent transportation systems (ITS). However, the accuracy of video-based Vehicle Detection is heavily affected by complex environmental factors such as shadows, rain, illumination and glare. This paper introduces an approach to motion vehicle detection in complex condition over highway surveillance video. The framework is composed of...
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