FCM

A book named Matlab/Simulink for power system , writted by YuQun.

说明：  这个是爬虫代码，希望大家可以喜欢收藏，不胜感激(This is the crawler code. I hope you enjoy collecting it. Thank you very much.)

说明：  利用GPS的PPS脉冲对系统主板的RTC（系统实时时钟）进行校时。(Using PPS pulse of GPS to calibrate RTC (system real time clock) of system main board.)

说明：  利用光流法计算视频不同帧图像之间的位移矢量(Calculating Displacement Vectors between Video Frames by Optical Flow Method)

jad，一个反编译工具，可以作为eclipse的插件-jad, an anti-compiler tools, can be used as eclipse plug-ins

大地测量基础大地经纬度转大地直角坐标大地测量基础大地经纬度转大地直角坐标(Geodetic foundation geodetic longitude and latitude to Geodetic rectangular coordinates Geodetic foundation geodetic longitude and latitude to Geodetic rectangular coordinates)

IMU_GPS数据分析程序，主要包括IMU数据分析程序、GPS数据分析和对比程序、POS数据分析和对比程序。(IMU_GPS data analysis program, mainly including marketing data analysis procedures, GPS data analysis and contrast, POS data analysis and comparison process.)

一款加解密计算，字符顺序改变，mod5加密，的软件。(A encryption and decryption calculation, character order change, mod5 encryption, software.)

说明：  在3DEC软件中，三维柱状节理模型生成程序(3d columnar joint model generation program 3DEC)

本书共分5章：第1章介绍GPU通用计算的发展历程，介绍并行计算的历史、现状以及面临的问题；第2章介绍CUDA的使用方法，帮助理解CUDA的编程模型、存储器模型和执行模型，掌握CUDA程序的编写方法；第3章探讨CUDA硬件架构，深入分析Tesla GPU架构与CUDA通用计算的相互作用：第4章总结CUDA的高级优化方法，对任务划分、存储器访问、指令流效率等课题进行探讨；第5章以丰富的实例展示如何使用CUDA的强大性能解决实际问题。(This book is divided into five chapters: Chapter 1 introduces the development process of general-purpose GPU computing, parallel computing introduces the history, current situation and problems Chapter 2 describes the use of CUDA to help understand the CUDA programming model, the memory model and implementation model, master CUDA program writing method Chapter 3 explores CUDA hardware architecture, in-depth analysis of Tesla GPU architecture and CUDA general-purpose computing interactions: Chapter 4 summarizes the CUDA advanced optimization methods, the division of tasks, memory access, instruction stream efficiency and other topics were discussed Chapter 5 with abundant examples show how to use CUDA strong performance to solve practical problems.)