IOCPDemo_NET

完全实现注册表处理，文件处理。服务端采用多线程服务，能最好的处理SOCKET请求。数据接收、发送函数可以说是现阶段最好的，采用异步重叠操作。可以取得被控机器上的硬件信息，文件信息，注册表以及进行屏幕控制。 代码中的SOCKET重叠I/O的实现也很值得参(complete registry handling, document handling. Server using multithreading services will best address SOCKET request. Data reception, sending function can be said at this stage the best, using asynchronous overlapping operations. Machines can get charged with the hardware information, document information, registry and control for the screen. SOCKET code of overlapping I/O is also the realization worth Participation)

第六章源码，游戏框架输入和时钟引擎（CGameEngine_APP CGameEngine_Input CGameEngine_Timer）(Chapter VI source, Game clock input and engines (CGameEngine_APP CGameEngine_I nput CGameEngine_Timer))

说明：  实现了快速排序、随机排序以及中位排序查找第k小元素(Fast sorting, random sorting and median sorting are realized to find the k-th small element)

C++实现的BlueTooth,相当不错,可以试试,()

Syncronizer producer and customer

正方体投影，计算机图形学的综合实验内容，很全很专业的资源(eject)

说明：  本程序可用时输入学生序号学号成绩并进行查找(import the number, student ID numbers and scores, available to search.)

基于研华PCI-1710HG数据采集卡基于动态链接库的模拟量输入程序。用VC++6.0MFC实现。程序功能实现实时模式量值显示，绘制历史曲线及上下限报警指示。(Advantech PCI-1710HG-based data acquisition card is based on the dynamic link library analog input program. With VC++6.0MFC implementation. Program features to achieve real-time mode values ​ ​ displayed and plotted historical curve and lower limit alarm indication.)

易语言超简单水浒Q传自动打怪 易语言超简单水浒Q传自动打怪 易语言超简单水浒Q传自动打怪 (easy-language simple Shuihu Q-automatic Daguai eas y-language simple Shuihu Q-automatic Daguai eas y-language simple Shuihu Q-automatic Daguai easy-simple language Water Margin Q-automatic Daguai)

通过分析比较3种聚焦效果较好的清晰度评价函数，提出了一种基于聚焦窗口模式的平方梯度函数作为聚焦评价函数，建立了评价函数的数学模型，并给出了实验分析和结果。与以往常用的评价函数相比，具有更高的可靠性和聚焦灵敏度(Compared by analyzing the three kinds of focus better clarity evaluation function, a model based on the focus window as a function of the square gradient focusing evaluation function, the establishment of the evaluation function of the mathematical model, and gives the experimental analysis and results. Commonly used in previous evaluation function, compared with higher reliability and sensitivity Highlights)