Green computing is a new kind of computing mode to promote the scientific and technological improvement and sustainable social development. It is the focus of international competition and concerns national politics, economics and social safety. It involves system architecture, system software, parallel and distributed computing and computer network. Under the premise of guaranteeing computing efficiency, reliability and providing pervasive service, it aims to realize low power. The new kind of computing mode, which is new computer system architecture-oriented and cloud computing-included, through building energy awareness computing system, Internetworking environment, and computing service system, provides low power supporting environment for personalized, diversified information service mode.
Aiming at the definitionproblem of that the trust definition and the current model of trust has not been establishedve no common definitionsrepresentations currently ,The general description to the definition the and model of the trust must be needed, therefore we this paper presents a trusted computing platform model based on existing computer network, whichby makes full use of using the versatility of existing computer and network platform and it’s versatility. Through By putting the existing computing layered platforms into different logical trust layers, not onlyit reduces the difficulty of the implementation to theing trusted computing platform models but also , and improves its flexibility, scalability and efficiency of the models. At the same time, tAhe model building the credibility of a complete trusted chain is established based on in the starting phase to of the client system, thereby ensuring to ensure the security of trusted computingthe platform security. The Implementation results of the implementation to the prototype system showed that:t in the system, all the computers and their networks in the system constitute a unified platform for trusted computing, which mademakes the transfer of trust from the the user to the the user come true, and then realizeand realizes the true user experience for the trusted computing between users.
The Chan-Vese(C-V) active contour model utilizes global region information of images, so it is difficult to handle images with intensity inhomogeneity. A Local region-based C-V(LCV) model based on image local region information is proposed, which utilizes the weighted average intensity inside a local window to replace the global average intensity of C-V model. Moreover, the distance penalized energy function is incorporated into it, which makes the expensive re-initialization unnecessary. Experimental results of medical image segmentation show it has a distinctive advantage over C-V model for images with intensity inhomogeneity, and it is more efficient than LBF.
Aiming at the drawbacks of Total Variation(TV) model for image impainting, this paper proposes an improved inpainting model based on image decomposition. Using image decomposition technology, it extracts the structure information and texture information from the image. The improved TV model is applied to structure part of image to effectively avoid step effect in TV model on smooth region. On the process of iterative, it respectively analyzes the feature points and non-feature points to avoid the fuzziness of feature points during the inpainting. Image texture information uses improved exemplar-based inpainting technology. Matlab simulation experimental results show that the inpainting effect and the results of peak signal to noise ratio are better than that of original algorithm.
In the situation of unbalancing illumination or too complex background, global threshold can not binarize the 2D barcode image correctly, and local threshold can cause the block effect. In order to resolve this problem, a binarization method based on wavelet analysis and the Otsu method is proposed. This method estimates the approximate illumination distribution using wavelet analysis, and eliminates the effect of unbalancing illumination with the acquired illumination distribution. After that, the method binarizes the processed image using the Otsu method. This method not only eliminates the effect of unbalancing illumination, but also avoids the block effect encountered in local threshold method, by selecting appropriate wavelet function to make the approximate illumination distribution smooth.
Aiming at complexity of village-town land circulation business and non-uniformity of approving flow standard, this paper proposes a dynamic data management method based on Object Exchange Model(OEM) to build individual dynamic customization for approving flow data structure. Village-town land approval dealing system is developed after mapping OEM representation of approval flow data into eXtensible Markup Language(XML) file. Application results show that this system can implement digital treatment and auxiliary decision-making analysis of planning program in the process of land approval.