滞环

assistant EA very nice

说明：  UG编程新代后处理，深孔钻用，，，，，，(UG-POST,New generation postprocessing of UG programming for deep hole drilling)

该论文为大功率高效率无源谐振软开关BoostDC_DC变换器(This paper is a high-power and high-efficiency passive resonant soft-switching Boost DC_DC converter.)

About DDR3 RAM: LAYOUT, SCHEMATIC, LEARN

fpga硬件实现cnn代码，学习可用。了解基本的深度学习概念和实现方法(FPGA hardware implementation of the code, used for learning)

vivi的远代码,使用于s3c2410 好东西哦!-vivi far code, used for good things S3C2410 Oh!

浅墨出品，零资源分下载，分享精神至上~ 源码的配套博文是 《 【Visual C++】游戏开发五十四 浅墨DirectX教程二十一 视觉上的诡计:公告板(Billboard)技术》 请点击左侧文件开始预览 ！预览只提供20%的代码片段，完整代码需下载后查看 加载中 侵权举报

说明：  虽然 AdaBoost 算法的检测速度快，误识率低，但是在样本的权重更新过程中，对于分类错误样本中的正、负样本没有加以区分，不利于提高正样本的识别率。本文提出一种新的权重更新方法，对于分类错误的样本，对判断错误的正样本给更高的权重，使得算法在下一轮迭代时，更加关注对分类错误的正样本的学习，从而提高对正样本（人眼）的检测率。采用基于最小二乘法对眼部的外轮廓进行椭圆拟合，根据拟合椭圆的参数来判断眼睛的睁闭状态；采用结合 PERCLOS 和眨眼频率的方法，对疲劳状态进行检测。(Although AdaBoost algorithm has fast detection speed and low false recognition rate, in the process of sample weight updating, there is no distinction between positive and negative samples in classification error samples, which is not conducive to improving the recognition rate of positive samples. In this paper, a new weight updating method is proposed, which gives higher weight to the positive samples of classification errors, so that the algorithm pays more attention to the learning of the positive samples of classification errors in the next iteration, so as to improve the detection rate of the positive samples (human eyes). Based on the least square method, the eye contour is fitted with ellipse, and the opening and closing state of eyes is judged according to the parameters of fitting ellipse; the fatigue state is detected by combining PERCLOS and blinking frequency..)

Flash旋转的光影效果，一些小星星围成圆形不停旋转，慢慢变小，有点宇宙黑洞的感觉，内含Flash源文件。

发电系统可靠性计算，采用序贯蒙塔卡罗方法进行元件状态抽样(Calculation of power system reliability, using sequential Mundaka Luo method of element state sampling)