BMS-mex

说明：  自动画斐波那契回调线，判断趋势走向，方便好用(Automatically draw Fibonacci callback line to judge the trend and make it easy to use)

php发邮件程序，运行sendmail.php就可以了-send mail

说明：  1. 定义了刀具和工件结点的接触，并定义为默认“硬接触” 2. 工件上表面定义了自接触，防止切屑穿透工件上表面 3. 有些情况下可能产生工件右边界的部分结点卷曲后进入上表面，可以额外定义工件上表面与右边界部分结点（在右边界上，但是被切下来的部分结点）的接触算法这样就不会穿透了。(1. Defined the contact between tool and workpiece node, and defined as the default "hard contact". 2. Self-contact is defined on the upper surface of the workpiece to prevent the chip from penetrating the upper surface of the workpiece 3. In some cases, part nodes of the right boundary of the workpiece may curl into the upper surface, and the contact algorithm between the upper surface of the workpiece and the right boundary part node (the part node on the right boundary, but the part node cut off) can be defined in addition, so as not to penetrate.)

说明：  风电预测：能用但看不懂，而且一看就很厉害，加油！(Wind power forecast: It can be used but not understood, and it is very powerful at a glance. Come on!)

闹钟程序 -procedures alarm clock procedures

建模是进行材料模拟的第一步，这里对LAMMPS常用的建模方法进行总结（我平时用到的，难免不全面）。 概况来说，建模方法有两种：内部建模和外部建模。(Modeling is the first step in the process of material simulation. This is a summary of the modeling methods commonly used in the LAMMPS. In general, there are two types of modeling approaches: internal modeling and external modeling.)

说明：  为了解决低能量自适应聚簇分层（ ＬＥＡＣＨ）算法中簇头分布不均匀、 选举不合理以及路由方式单 一的不足，(in order to sovle the problem of unequal of cluster balances the energy consumption of nodes and prolongs the network lifetime)

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.)

一个有趣的拼图游戏-an interesting pieces of the jigsaw

vc写的坦克走迷宫程序-vc write tanks Maze procedure