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Biological epidemic models, widely used to model computer virus propagations, suffer from either limited scalability to large networks, or accuracy loss resulting from simplifying approximations. In this paper, a discrete-time absorbing Markov process is constructed to precisely characterize virus propagations. Conducting eigenvalue analysis and Jordan decomposition to the process, we prove that the...
A nonlinear physical simulation is presented involving the soft body deformation and interaction contacts. We demonstrate the finite element method relying on Lagrangian discretization to simulate the deformation of the soft body with hyperelastic material properties. To perform a stable simulation, we use the constrained Delaunay Tetrahedralization to resampling and remeshing the object. A new contact...
802.11e enhanced distributed channel access (EDCA) introduces different parameters to provide differentiated QoS support for various traffic classes. This brings additional difficulties and complexities to the traditional per-slot based Markov chain modeling techniques, where the transmission probability relies on generic time slots. Channel access cycle based modeling, which does not depend on per-slot...
Rapid increase of the amount of image data necessitates the development of efficient tools for representing visual input. In this paper, we present an approach for automatically extracting the ROI (region of interest) and that can find objects using visual attention technique. Multiple image features such as intensity, color and orientation in multiple scales are extracted to get some feature maps...
With the increasing business in air travel area, reducing the plane's turnaround time is becoming more and more important. In this paper, it chooses the optimum boarding strategy to reduce the turnaround time. The MINPL model is for the small-size plane, with the boarding time mainly depending on seat interference and aisle interference. The GASimplex algorithm (genetic algorithms mixed with simplex...
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