基于C_S的在线考试系统

基于MSP430的OLED开发程序，可显示字符及图片(OLED development program based on MSP430 can display characters and pictures)

VC++与Matlab混合编程实现图像处理(VC and Matlab Image Processing Mixed Programming)

本代码是为了应付人工智能的实验而编写的，写的潦草请不要介意。我又是通过这代码来“引玉”，相信看过我编写的黑白棋源代码的人应该知道“引玉”是什么意思。如果你有“玉”（什么更高效的算法能在更短的时间内求得结果，或者博弈方面的），就欢迎“砸”过来－－fengart@126.com，我会很感激！（A* 算法解决八数码问题我已经研究过了，不要砸这个来）在 赛扬D2.1G 的机器上测试，算法的解答时间不超过0.1秒。 最好优先搜索算法的解答时间一般在0.05秒左右。 里面还可以演示八数码问题的从初始态到目标状态的过程。 (the code is intended to meet the artificial intelligence experiments prepared, the notoriously difficult to write please do not mind. I pass this code is to "take the jade" I believe I read prepared reversi source code, should know "primer" jade what it meant. If you have "Jade" (what more efficient algorithm in a short time of use, or the Game) welcomed "crushed" them-- fengart @ 126.com, I would be very grateful! (A* algorithm to solve the problem eight digital I have examined, not to drop it on this) Celeron D2.1G machines to test, the algorithm is not the time to answer more than 0.1 seconds. Best first search algorithm to answer in time normally around 0.05 seconds. Which can also display eight digital issues from the initial state to target s)

自己写的五子棋代码，可以直接执行，效率很高(Write your own backgammon code that can be executed directly, high efficiency)

卫星移动通信系统的电子教材，解压后可见，研究学习卫星通信的人可以参考借鉴(Electronic textbooks satellite mobile communication system, unpacked visible satellite communications research study can be a reference for people)

说明：  利用网站爬虫 抓取网络数据 这个是我在学习过程中用到的一个方法(Using Web Crawler to Grab Network Data)

模式识别入门 适合刚开始学习的人 答案都在里面 自己试过 感觉效果挺好的

matlab自带的corner函数即可实现harris角点检测。但考虑到harris角点的经典性，本程序将其实现，纯粹出于学习目的，了解特征点检测的方法。其中所有参数均与matlab默认保持一致.Harris角点检测Harris角点检测。

winform显示地图，并且实现点击标签跳转新的form，后台数据也是json的连接方式

关于湍流仿真的经典文献，对气象雷达和流体力学专业等相关专业的人士非常有参考价值。(The standard k-E. equations and other turbulence corrections are evaluated and reported with respect to their applicability in three-dimensional flows. The turbulence models are formulated on the assumption that an ilsotropic eddy viscosity and the modified Boussinesq hypothesis adequately describe the stress distributions, and that the source of predictive error is a consequence of the modeled terms in the ke equations. Turbulence model corrections are incorporated to investigate their impact on these errors. Predictions from various turb+lence models are compared with experimental data froq an isothermal 3-D configuration. The data combsons delineate the relative advantages and disadvantages of various modifications. The k-E model perfbrms competitively with other model corrections and in some instances is judged to be superior than the modzfied treatments. However, given the additional computational time and the marginal superiorityofthe investigated models, it is )