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Recent advances in location-acquisition and mobile sensing technologies have enabled tracking of vehicle movements (i.e., trajectory data). Massive trajectory datasets are processed routinely (often in real-time) to provide support for many new types of IoV (Internet of Vehicles) applications (e.g., traffic congestion management, and load-coordination across electric vehicle charging stations). High-volume,...
Short term load forecasting is an essential part of electric power system planning and operation. The fundamental problem is how to represent the time series data in load forecasting. One of the common approaches is coding, that is transforming the time series to another domain. This paper presents a novel dynamic coding method for time series. The method integrates the whole series information and...
Graph descriptor is usually focused on in computer vision for its flexibility and richness. However, in object recognition, it is difficult to catch the feature of an object completely with a straightforward way by a graph. In this paper, from a multiscale viewpoint, we propose a method to construct a vertex-labeled graph for image recognition where the label represents the importance of a vertex...
Research of visual attention is one of the important domains of psychology and neurophysiology. In this study, an attention related electroencephalograph (EEG) signal processing method was proposed to distinguish the different levels of people's attention during the imaginary limbs motor. There were two EEG feedback experiments (playing tennis and walking) to measure the different levels of visual...
In China, there are approximate 1.3% to 13.4% of children who have attention deficit hyperactivity disorder (ADHD), which may affect their physiology and psychology development badly. Attention related electroencephalograph (EEG) signals during the limbs motor imagery can be used to tell the different levels of people's attention. Such an EEG-based attention level discrimination can provide a method...
In this paper, a multi-objective evolutionary algorithm based on adaptive discrete differential evolution is proposed for multi-objective optimization problems, especially in discrete domain. By introducing differential evolution to multi-objective optimization field, a novel adaptive discrete differential evolution strategy is presented firstly to enhance the ability of global exploration, so that...
A real-time and on-line intelligent urban traffic signal control approach based on forecasting technology is proposed for the requirements of real-time traffic signal control. Considering the multiple performance indicators, the multi-phase multi-objective point-control model and line-control model are respectively constructed. By combining the characteristics of real-time urban traffic signal control,...
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