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Embedding the security mechanism into the device is the core of self-securing, on purpose to provide the device with the ability of self-defense. Currently, security of portable storage device is commonly depends on the host, which makes the data easy to be attacked or stolen. Researches on self-securing mechanism on portable device are few. In order to improve the safety of those devices, we proposed the prototype design of self-securing portable storage device based on the framework of ARM+Linux. Combined with access control, intrusion detection based on storage and data encryption/decryption, it can protect data availability, integrity and confidentiality effectively. Since we have expanded researches on self-securing mechanism of portable storage devices, this prototype design is promising to be one kind of trend of intelligent storage.

For the study of nonlinear dynamic characteristics of a pair of gears in an external torque under gear meshing error excitation, we will establish two degrees of freedom nonlinear torsional vibration model. The use of Matlab / Simulink for numerical simulation solves the nonlinear dynamic model of the gear gap. Study the dynamic characteristics of the system in a certain domain of parameters on external incentive conditions, as well as external motivation of gear transmission system dynamic characteristics influence. The results have important practical value for future engineering practice on gear transmission system's dynamic design, and have important theoretical significance for complex gear transmission system dynamics study.

This paper presents an automatic foreground segmentation algorithm for stereo image pair captured by a dual-camera system. Being different from the monocular image, binocular images contain the disparity map between the stereo image pair. For the disparity map is computationally expensive, our approach adopts the residual image with spatial displacement ( , ) to segment the initial trimap automatically. From the residual image, rough region of foreground is clustered as the initial trimap of GrabCut algorithm. Compared with a rectangular region, the calculated trimap is more accurate. After running GrabCut algorithm, the images are segmented into foreground and background layers that comprises of the front objects and back environment. Experimental segmentation results with the original images captured by the dual-camera system indicate that our approach is efficient and promising.