uCOS

此文章是我用好久编出来的一个wince更改三串口的文章，请参考-this article is a long time series with a wince the serial changes of the three articles, please refer to

Linux路由器流量统计系统 // Linux路由器流量统计系统.doc-Linux router traffic statistics system// Linux router traffic statistics system. Doc

课程设计----基于WINDOWS的多道程序设计.doc-WINDOWS-based curriculum design of multi-channel programming. Doc

嵌入式Linux应用开发完全手册》,书比较不错，值得一看-Embedded Linux application development entirely manual sample chapter

8051 based microcontroller project

代码大全第二版中文版，分量有多重兄弟们应该很明白。由于加密原因，用adobe reader 7.0以上的版本打开。-code One Chinese version of the second edition, with multiple components brothers should know. Because encryption, using adobe reader version 7.0 and above to open.

激光三维扫描数据的表面重建技术研究,不错的论文。-3D laser scanner data on the surface reconstruction, good papers.

】通过建立倒立摆系统的数学模型,应用状态反馈控制配置系统极点设计倒立摆系统的 控制器,实现其状态反馈,从而使倒立摆系统稳定工作。之后通过MA TLAB 软件中Simulink 工具对倒立摆的运动进行计算机仿真,仿真结果表明,所设计方法可使系统稳定工作并具有良 好的动静态性能-] Through the establishment of an inverted pendulum system mathematical model, the application of state feedback control design configuration of the system pole inverted pendulum system controller, to achieve its state-feedback, so that the work of the inverted pendulum system is stable. After the adoption of MA TLAB software Simulink tool for inverted pendulum movement of the computer simulation, simulation results show that the design work will enable the system is stable and has good static and dynamic performance

R 树， 存取方式的当中最普遍的的用长方形， 是根据区域的启发式优化围绕的长方形在各个内在结点通过运行在一张规范化的试验平台下高度变化的数据， 询问和操作众多的实验， 我们能设计合并联合的优化的R* 树区域， 各个附寄的长方形边际和交叠在目录使用我们规范化的试验床在详尽表现比较，它结果R* 树清楚地胜过现有的R 树变形Guttman’s线性和二次方R 树和R 树的格林变形，R* 树的这优势举行为不同的型询问和操作， 譬如地图覆盖物。 为两个长方形和多维点在所有实验从一个实用观点R* 树是非常有吸引力的由于以下二个原因1 它高效率地支持点和空间数据同时和2 它实施费用比那少许高级其它R 树。-R tree, which forms of access to the most common use of a rectangular shape, which is based on heuristic optimization rectangular inherent in all nodes running on a standardized test platform height data, inquiries and the operation of many experiments, we can design the optimal merging of the joint R* Tree region, judging from the various and overlapping rectangular marginal in the directory using our standardized test bed in a detailed performance comparisons, and it results R* tree clearly better than the existing R-tree deformation Guttman"s linear and quadratic R-tree and R Green Tree deformation, R* Tree of this advantage at different type of inquiry and operation, such as maps cove