RotorCampbell

组态王驱动开发包，包含例子。这是本人吐血奉献！组态王是一款工控领域的自动化软件，这个开发包是要付费才能获得的(Kingview driver development kit, containing examples. This is my blood sacrifice! The Kingview is a field of industrial automation software, the development package to pay to get the)

工厂产线测试软件测试笔记本电脑的老化测试软件，VC编写(a programming )

gpt2w5模型代码 通过更改参数可得到对流层延迟量值 MATLAB(gpt2w5 model code MATLAB Tropospheric delay can be obtained by changing parameters)

会议记录系统，使用C# + extjs + server(Conference recording system, the use of C#+ extjs+ server)

应用于水利上河流的流管划分，输入断面数据和划分流管数量进行流管划分。(Applied to the flow tube is divided on river water conservancy input section data and divided the number of stream flow tube pipe division.)

利用ANSYS APDL 进行结构优化设计(Structural optimization design)

这是最近本人用组态王做得实验室配套双容水箱监控程序，画面清晰漂亮，欢迎大家浏览查看！(Penguin Card Oh, Rosaceae to joke to joke to see his wife thought of the film to go see his wife, playing Walker to play with bottle opener Will and weapons 2)

Mapeasy 最初版本，比较干净！！！！！！！！！(Mapeasy)

用c++做的汽车4s店销售系统（mfc） 录入查询库存预定等功能模块 头文件中定义 class CAutomobile4SshopDlg : public CDialog 头文件中定义class sale : public CDialog class service : public CDialog class storage : public CDialog class guanli : public CDialog 分别作销售，服务，库存，管理功能模块函数体调用 #define IDM_ABOUTBOX 0x0010 #define IDD_ABOUTBOX 100 #define IDS_ABOUTBOX 101 #define IDD_AUTOMOBILE4SSHOP_DIALOG 102 .....宏定义为函数体调用(Using c++ to do car 4s shop sales system (mfc) Input query inventory reserve and other functional modules Header file defines class CAutomobile4SshopDlg: public CDialog Header file defines class sale: public CDialog class service: public CDialog class storage: public CDialog class guanli: public CDialog Respectively, for sales, service, inventory management function module calls the function body # define IDM_ABOUTBOX 0x0010 # define IDD_ABOUTBOX 100 # define IDS_ABOUTBOX 101 # define IDD_AUTOMOBILE4SSHOP_DIALOG 102 Defined as a function of the body ..... macro call)

说明：  ;Method : 0-平行六面体 ; 1-最小距离 ; 2-最大似然 ; 3-马氏距离 ; 4-神经元网络 ENVI_NEURAL_NET_DOIT ; 5-向量机 ENVI_SVM_DOIT ; 6-IsoData ; 7-K-Means(method: 0-parallelepiped 1 - minimum distance 2-maximum likelihood 3-mahalanobis distance 4-neural network 5-vector machine envi? SVM? Doit 6-IsoData 7-K-Means)