三维地形模拟研究

详细介绍了VC下利用WINDOWS API函数来实现与符合HID设备类的USB接口通信，并给出了通信程序的部分源代码(details of VC using Windows API function to achieve compliance with the type of equipment HID USB communications, and communications procedures given the source code)

哲学家用筷子的问题，能够直接执行在u-cos环境下(Philosopher with chopsticks, able to direct the implementation of the u-cos environment)

用加密代码将文字隐藏在图片中，用解密代码将文字提取。c++(The text is hidden in the picture with encrypted code, and the text is extracted with decryption code.)

将BMP文件转换为JPG文件的源代码，很不错的，值得学习哦(BMP file to JPG conversion of the source code, very good, oh worth learning)

一个仿windows资源管理器的小程序，大家觉得有用的话就支持一下-Imitation windows explorer a small program, we find useful, then click on the support of

这是一个基于Windows mfc编程的学生信息管理系统，对学生信息的txt文档录入并且进行增删改查等操作(A MANAGEMENT SYSTEM FOR STUDENT INFORMATION USING WINDOWS MFC)

IDA简易入门教程,反汇编程序工具的使用(IDA simplified form for beginners tutorials, disassembler the use of tools)

template 模版函数 函数模版 深入了解(template template template-depth understanding of the function function)

：植物种类识别方法主要是根据叶片低维特征进行自动化鉴定。然而，低维特征不能全面描述叶片信息，识别准确率低，本文提 出一种基于多特征降维的植物叶片识别方法。首先通过数字图像处理技术对植物叶片彩色样本图像进行预处理，获得去除颜色、虫洞、 叶柄和背景的叶片二值图像、灰度图像和纹理图像。然后对二值图像提取几何特征和结构特征，对灰度图像提取 Hu不变矩特征、灰 度共生矩阵特征、局部二值模式特征和 Gabor 特征，对纹理图像提取分形维数，共得到 2183 维特征参数。再采用主成分分析与线性 评判分析相结合的方法对叶片多特征进行特征降维，将叶片高维特征数据降到低维空间。使用降维后的训练样本特征数据对支持向量 机分类器进行训练(plant species identification method is mainly based on blade automatic identification of low dimensional characteristics.However, can not fully describe blade low-dimensional feature information, identification accuracy is low, in this paper A kind of plant leaves recognition method based on multiple feature dimension reduction.First by digital image processing technology to the plant leaf color sample image preprocessing, obtain background color removal, wormhole, petioles, and the blades of a binary image, gray image and texture image.Then the binary image to extract the geometric characteristics and characteristics of structure and characteristics of gray image extraction Hu moment invariants, gray co-occurrence matrix feature, local binary pattern features and Gabor, to extract the fractal dimension of texture image, get 2183 d characteristic parameters.By principal component analysis and linear uation analysis method of combining the characteristics of blade more feature dimensi)

nRF24L01驱动，基于LM3S1138(nRF24L01 driven, based on LM3S1138)