To build a power grid fault model which is closer to the actual power grid, a new model named FCA was proposed combined with fuzzy theory and Cellular Automata (CA) to simulate the evolution of power grid failure, and the fuzzy rule bases of cellular status, power status and degree of fault transmission in the model was defined. Meanwhile, simulation with FCA model based on IEEE39 node system was conducted. The simulation results further validate the Self-Organized Criticality (SOC) of power grid, and show that the absolute value of losses load power law curve slope of this model increases by 17% than the model without fuzzy rule, the grid is more stable, and the FCA model is closer to the actual operation of grid.

A new reversible data hiding algorithm for medical images was proposed. The hidden information was embedded into Region Of Interest (ROI) and non-interest respectively. In ROI, an adaptive integer transform scheme was employed to enhance the embedding capacity and control distortions. And in Region of Non-Interest (RONI), the classical Least Significant Bit (LSB) method was used to keep the marked image’s quality. The experimental results show that, compared with previous works, the performance of the proposed method has been significantly improved in terms of capacity and image quality. The proposed method’s embedding capacity is between 1.2bpp and 1.7bpp, while the Peak Signal-to-Noise Ratio (PSNR) can maintain the 43dB or so. Moreover, the proposed method with high run efficiency can be applied into the practical hospital information system.