Shunjiang Ni

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We report the results of a series of simulations of a susceptible-infected-recovered epidemic model in heterogeneous spatial metapopulation networks with quantitative knowledge of human traveling statistics that human travel behavior obeys scaling laws in the sense of geographical distance and period of waiting time. By tuning the edge length distribution(More)
This paper presents a self-adapting algorithm based on Mean Shift model to track the target in video sequences. Firstly, two-dimensional histogram is used to represent the target instead of one-dimensional histogram, so as to better distinguish the target from background. Secondly, algorithm has been improved by adding self-adapting progress to remove(More)
The world is still in heightened awareness of the potential threat of another influenza pandemic, although it has been 5 years since the 2009 influenza A (H1N1) pandemic. Evaluation of the adopted intervention strategies for handling the 2009 H1N1 pandemic is helpful for dealing with future outbreaks. In this paper we developed a hybrid model combining(More)
The simulation of radioactive pollutants dispersion is critical for emergency response of the nuclear terrorism. The radioactive “dirty bomb”, also called radiological dispersion device (RDD), produced and used by the terrorist to make fearful and radioactive pollution in general, has a great risk on humans. Numerical investigation of the impact of(More)
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