In order to enhance the recall and the precision performance of data integrity detection, a method to detect the network storage data integrity based on symmetric difference was proposed. Through the complete automatic image annotation system, the crawler technology was used to capture the image and related text information. According to the automatic word segmentation, pos tagging and Chinese word segmentation, the feature analysis of text data was achieved. Based on the symmetrical difference algorithm and the background subtraction, the feature extraction of image data was realized. On the basis of data collection and feature extraction, the sentry data segment was introduced, and then the sentry data segment was randomly selected to detect the data integrity. Combined with the accountability scheme of data security of the trusted third party, the trusted third party was taken as the core. The online state judgment was made for each user operation. Meanwhile, credentials that cannot be denied by both parties were generated, and thus to prevent the verifier from providing false validation results. Experimental results prove that the proposed method has high precision rate, high recall rate, and strong reliability.
To solve the problem of moving object detecting in the wide field, this paper establishes a new artificial compound imaging system and proposes moving object detection algorithm. According to the unique principle of receiving and processing of visual information from animal compound-eye, the model of artificial imaging system consists of a micro-lens array and CCD device with planar array, captures dynamic image sequences in the different azimuth, and assures its advantages of long-distance and widerange detection and good image effect. In order to get the motion vector of moving object, researches the characteristics of background in the relevant imaging sequence, discusses the mechanism of processing visual information, the estimation algorithm adopt the highpass filter processing after making the three-dimensional space transformation to reduce the disturbance of noise and enhance the effect of background suppression firstly. The motion vectors of dynamic object is obtained by processing the relevant imaging sequence with the maximum correlation coefficient, refers to the EMD array. Preliminary experimental results for target tracking shown that the artificial compound imaging system and moving object detection algorithm is practical and effective, and which has a highly practical application value.In the nature, through a long evolutionary process, fly has formed its own set of visual system, which can locate target objects quickly, relay on the unique skills of the receiving and processing of visual information from the surrounding environment. There is a pair of symmetrically hemispherical compound eye on the fly's head, and each of that consists of 3200 eyes with the same physical structure and visual function exactly [4]. The detecting view of each eye is independent and limited. Combing all these field of each eye, the fly get a large field where it can detect any trends on the orientation of the attackers quickly.
The Physical Structure of Fly Visual SystemIn physical optics, the face of each eye equivalent to a small independent imaging lens. All these faces' symmetry axis intersects in the center of the compound eye surface. A hexagonal array of multi-lens are formed by combining these small eyes' face arrangement regularly, and then constitutes a large visual imaging system. The physiological structure of fly's compound eye is shown in Figure 1. The structure of the ommatidinm was highly complex, and made up of cornea, corneagenous cells, crystalline cones, crystalline cone cells, pigmental cells, retinular cells [5].
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