unit-commitment

说明：  分水岭算法使用的详细介绍（添加注释），方便阅读和理解；银行卡号的识别将多种图像处理的手段加以利用，最重要的就是数字的循环提取，本次采用的是独特的提取和识别方式（python）。还有用C语言编程的edem中API接口以及示例，便于使用。(Watershed algorithm used in detail (add notes), easy to read and understand; bank card number recognition will be a variety of image processing means to use, the most important is the number of circular extraction, this time using a unique extraction and recognition method (Python). There are also API interfaces and examples in edem programmed by C language, which are easy to use.)

说明：  仿真雷达各种测角方法，包括最大似然估计、单脉冲法(monopusle estimation )

说明：  程序主要实现基于CV模型的目标跟踪，包括均方根误差计算(target tracking with constant velocity)

17年板球代码，电赛练习题，stm32f4(17 years cricket code, tournament exercises, stm32f4)

little C# client server application

一个用vc编写的猜数字游戏,简单易用,与文曲新中的那个一样,只是这个是用vc写的罢了-vc prepared with a viewing of the game, simple to use, with the venturi that the new, but it is just a write vc

今天做的一个C#的小例子，希望初学者能够汲取精华，学习到更多的知识！！！(Today, a small example of C#, I hope that beginners can learn the essence, learn more knowledge!!!)

说明：  CN对图像进行像素级的分类，从而解决了语义级别的图像分割（semantic segmentation）问题。与经典的CNN在卷积层之后使用全连接层得到固定长度的特征向量进行分类（全联接层＋softmax输出）不同，FCN可以接受任意尺寸的输入图像，采用反卷积层对最后一个卷积层的feature map进行上采样, 使它恢复到输入图像相同的尺寸，从而可以对每个像素都产生了一个预测, 同时保留了原始输入图像中的空间信息, 最后在上采样的特征图上进行逐像素分类。(CN classifies images at the pixel level, thus resolving the problem of semantic segmentation at the semantic level. Unlike classical CNN, which uses full-connection layer to get fixed-length feature vectors after convolution layer for classification (full-connection layer + soft Max output), FCN can accept any size of input image, and uses deconvolution layer to sample feature map of the last convolution layer to restore it to the same size of input image, so that each pixel can be generated. At the same time, the spatial information of the original input image is retained. Finally, the pixel-by-pixel classification is carried out on the feature map sampled above.)

利用SAR卫星的已知的多个时刻的位置和速度信息，精确地拟合出SAR卫星的轨道模型。可用于计算出任意象元成像时刻卫星的位置-SAR satellites known to use multiple moments of position and velocity information, accurately fitted SAR satellite orbital model. Images can be used to calculate the yuan as the location of satellite imaging time

UG参数编辑，用于参数化建模对象，以待后续(UG parameter editing for parametric modeling objects, to be followed up)