trendMK

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.)

通讯录 简单的用数据结构弄的通讯录 可以修改 改善成比较好的程序-contact

说明：  华大MCU HC32F005示例代码 华大半导体MCU事业部隶属于华大半导体有限公司，承接CEC集团工业控制转型升级使命，专注于发展MCU芯片与解决方案，围绕超低功耗芯片和电机芯片应用场景，有针对性地推出芯片系列和专业的应用方案，帮助客户以最具性价比的优势迅速占领市场。(HC32F005 SAMPLE CODE)

说明：  简单的电池建模(戴维南模型)以及卡尔曼滤波器，用于估算模拟锂电池的充电状态（SoC）估计。可模拟CC / CV充电和脉冲放电。 然后显示图形，显示仿真结果。 可以在Python / main.py中使用容量和Thevenin模型值。 充电/放电协议也可以更改，值可在Python / protocol.py中找到。(Simple battery modeling (the Thevenin model) and the Kalman filter are used to estimate the state of charge (SoC) of an analog lithium battery. Can simulate CC / CV charging and pulse discharge. Then display the graph and display the simulation results. The capacity and Thevenin model values can be used in Python / main.py. The charge/discharge protocol can also be changed and the values can be found in Python / protocol.py.)

file tokenizar in php simple program for indexing files

说明：  交直流电压表:1602与TLC2543的交直流电压表参赛作品。(AC and DC voltmeters: 1602 and TLC2543 AC and DC voltmeter entries.)

拧紧机对外提供的接口， Atlas Copco Tools and Assembly Systems(Interface provided by tightening machine)

Simple colour detection using MATLAB

这是一个基于pocketsphinx的例子程序，已经在andtoid studio编译成功，并能识别简单的词汇。这是第三部分(This is an example program based on pocketsphinx, which has been successfully compiled in andtoid studio and can recognize simple words.this is the 3rd part)

matlab实现双目标回波信号处理仿真，距离门重排(Matlab achieves multiple target echo signal processing simulation, range gate rearrangement.)