chonggou

说明：  ps软件photoshop_cs8@1715_430967(photoshop_cs8@1715_430967)

论坛首页必备N格，非常经典的插件，本插件来源于网络，仅供学习使用，下载后24小时请删除。(Necessary N-grid forum home page, a very classic plug-in, this plug-in comes from the network, only for learning, 24 hours after downloading please delete.)

基于开源框架及容器技术的微服务架构研究性论文(Research on Microsoft Service Architecture Based on Open Source Framework and Container Technology)

说明：  每个像素有RGB三个通道，每个通道占1个字节，灰度化公式如下： Gray = (R + G + B) / 3 将算得的Gray值赋值给对应像素的RGB三个通道。 线性滤波的基本原理是用均值代替原图像中的各个像素值，即对待处理的当前像素点（x，y），选择一个模板，该模板由其近邻的若干像素组成，求模板中所有像素的均值，再把该均值赋予当前像素点（x，y），作为处理后图像在该点上的灰度g（x，y），即g（x，y）=1/m*∑f（x，y），m为该模板中包含当前像素在内的像素总个数。(Each pixel has three channels R G B, each of which takes up one byte.)

vb方面的编程，条形码编程。希望对大家有用。-vb aspects of programming, bar code programming. Want to be useful to everyone.

Windows API函数,希望大伙有用哦-Windows API function, I hope everyone Oh useful

通过神经网络利用matlab和python实现人脸识别(Face recognition using MATLAB and python through neural network)

本代码为电力系统潮流程序，牛顿拉夫寻法求解-The code for the Power Flow procedures Love Newton search method

说明：  改进的de算法，可以调用外部函数，对变量可以有所约束(improved DE algorithm The external function can be called, which can be restricted to the variable)

说明：  针对矿浆管道工况调整给泄漏检测带来的干扰，准确提取泄漏信号的特征量是降低泄漏误报、漏报的关键。为此，提出了一种基于经验模态分解（EMD）、Hilbert能量谱与变量预测模型（VPMCD）相结合的泄漏检测方法。该方法首先将压力信号分解成若干个固有模态函数（IMF）之和，然后将IMF分量进行Hilbert变换得到局部Hilbert能量谱，依据能量分布的标准差选择最能准确反映矿浆管道运行工况的局部能量谱作为特征值向量，最后通过VPMCD分类器建立泄漏识别模型。将该方法应用于泄漏检测中，实验结果表明，矿浆管道在正常运行、泄漏和工况调整状态下，识别率达到95%，并综合分析流量信号，提高了泄漏检测精度。(According to the interference to leak detection of mineral slurry pipeline caused by work condition adjustment,effectively extracting the characteristics of leak signal is the key to reduce the leakage of the false negatives and false positives.In this paper,a leak detection method based on EMD and VPMCD is proposed. In this method,the pressure signals are decomposed into several IMF components, and then take local Hilbert energy spectrum which most accurately reflect the pipeline operation conditions as feature values, Finally the leak identification model is established by VPMCD classifier.When the method is applied to the leak detection,the experimental results show that under the conditions of normal operation,leakage and work condition adjustment, the recognition rate of the mineral slurry pipeline reaches 95%,and by comprehensively analyzing the flow signals, it also improves the accuracy of leak detection.)