硅模上的噪声

对混沌时间序列相空间重构中最佳延迟时间间隔和嵌入维数的选取方法作 了综述,提出了同时考虑这2 个参数选取的重构展开虚假邻点法以及预测误差最小-Of chaotic time series phase space reconstruction of the best delay time interval and the embedding dimension of the selection methods were reviewed and put forward these two parameters taking into account the reconstruction of the selected start-point method of false neighbors, as well as the minimum prediction error

From the point of view of quality management, it is an important issue to reduce the transmission time in the network. The quickest path problem is to 6ndthe path in the network to senda given amount of data from the source to the sink such that the transmission time is minimized.

国内知名的旅行网站２００８年5月所做的竞争对手网站分析报告,颇具商业价值，对在线预订行业具有决策性参考价值．-Well-known travel Web site in May 2008 made by a competitor

rooted labaled trees coding

虚拟化安全综述――虚拟化是数据中心的流行技术,它起源于20世纪60年代。它是把昂贵的计算机资源的利用最大化的方式。典型的服务器运行至少40 利用率，虚拟化可以更有效地利用技术资源，并节约固定费用。虚拟化的最大优势是，它允许管理员从中央区域为个人电脑和客户设备提供软件。虚拟化不需要管理员对一般任务进行分别考虑。服务器的关机可以带动多用户的关机。-Virtualization Security Review- virtualization is a popular data center technology, which originated in the 20th century, 60 years. It is to expensive computer resources to maximize the utilization of way. The typical server is running at least 40 utilization, virtualization can be more effective use of technology resources, and save fixed costs. The biggest advantage of virtualization is that it allows administrators from the central region for personal computers and client devices software. Virtualization does not require the administrator of the general tasks considered separately. Server shutdown can foster the multi-user shutdown.

具体内容见文章，主要是研究小网络世界的动态耦合同步-See the specific contents of the article is to study the dynamics of small-world coupling network synchronization

这是一篇关于人脸修改的一个文章。对人脸研究这一块，有很好的启发。-This is a modified a human face on the article. This is a study of human face, there is a good inspiration.

可以进行动态重建的酒店平面图的源码下载，欢迎改进。-Dynamic reconstruction can

“信息机”一指禅――政府行业0703.doc-err

sift的经典文章，是由low s发表的Object Recognition from Local Scale-Invariant Features-sift the classic article by the low" s on the Object Recognition from Local Scale-Invariant Features