ID 原文 译文
47326 实验结果验证了所提算法的有效性和可行性。 The experiment results verify the va-lidity and feasibility of OMKLP.
47327 P2P 网络的开放性自组织等特性给系统带来一系列的安全风险，然而传统的访问控制模型并不能适用于P2P 网络这样的分布式管理系统。 The opening and self-organization features of P2P network brings a series of security risks, and the traditional access control model is not suitable for P2P network as it is a kind of distributed management system.
47328 针对该问题，给出一种基于模糊理论的任务访问控制模型，并对该模型进行形式化描述与分析。 Task-based accesscontrol mode of P2P network was proposed based on fuzzy theory. And the formalization description and analysis of themodel was also proposed.
47329 通过层次分析法和模糊评价模型，计算每次交互任务的风险值。 The risk value of each transaction was calculated through hierarchy process analysis and fuzzycomprehensive evaluation.
47330 该模型通过对任务访问控制模型进行扩展，依据交互任务的风险值对访问权限进行动态管理。 In this model, according to the risk value of each transaction, the dynamic management ofaccess authority was realized by extending task-based access control model.
47331 分析与实验结果表明该模型能够抑制非合作节点的交互成功率，增大整个对等网络系统的交互成功率，提高了对等网络系统的安全性。 The results show that this model can restrainthe success of noncooperative nodes transaction and raise the success of the whole P2P network system transaction, thusimproving the security of P2P network system.
47332 针对传统高斯混合模型（GMM, Gaussian mixture model）难以自动获取类属数和对噪声敏感问题， In view of the traditional Gaussian mixture model (GMM), it was difficult to obtain the number of classes andsensitive to the noise.
47333 提出了一种基于可变类空间约束 GMM 的遥感图像分割方法。 A remote sensing image segmentation method based on spatially constrained GMM with unknownnumber of classes was proposed.
47334 首先在构建的 GMM 中，将像素类属性建模为马尔可夫随机场（MRF, Markov random field），并在此基础上定义其先验概率； First, in the built GMM, prior probability that represented the membership between apixel and one class was modeled as a Markov random field (MRF).
47335 结合邻域像素类属性的后验概率和先验概率，定义噪声平滑因子,以提高算法的抗噪性； In order to improve the sensitivity of noise, thesmoothing factor was defined by combining the a posterior probability and the prior probability of neighboring pixels.