Verilog HDL数字设计与综合 夏宇闻译（第二版）

通过若干由python完成的算法实例学习算法和python(learn algorithm and python by examples)

说明：  针对充流管道单向流固耦合数值模拟过程复杂、数据在耦合传递中存在偏差的问题，采用 Ｃ＋＋语言编制了充流管道单向流固耦合数值模拟程序，实现了从模型建立、流体计算到结构分析 过程的自动化，确保了从流体计算到结构计算过程中数据传递的准确性．利用参考文献中的试验数 据验证了此程序计算结果的正确性，以实际发电厂的一段疏水管道为例进行单向流固耦合数值模 拟，描述了程序自动建立管道模型、模拟管内流体压力分布以及将流体压力数据导入管道结构中进 行管道应力计算的过程．结果表明：该充流管道单向流固耦合数值模拟程序具有结果准确、操作简 便的特点，可应用于多种充流管道的设计改造和风险预测中(Aiming at the complex numerical simulation process of one-way fluid-structure coupling in flow-filled pipeline and the deviation of data in coupling transmission, the method is adopted. C++ language has compiled the numerical simulation program of one-way fluid-structure coupling for filling pipeline, which has realized the process from model establishment, fluid calculation to structure analysis. The automation of the process ensures the accuracy of data transfer from fluid calculation to structural calculation. The correctness of the calculation results is verified by the program, and the one-way fluid-structure coupling numerical model is carried out for a section of)

说明：  双PWM 控制策略研究 发电机侧控制策略 网侧控制策略(PI control matlab freedom PID control)

说明：  利用ANSYS软件，进行有限元分析。介绍有限元方法、有限元类型、结构分析方法、传热分析方法等。(The finite element analysis is carried out by using ANSYS software.The finite element method, finite element type, structural analysis method and heat transfer analysis method are introduced.)

这是一个时长达到10分钟的GPS数据包，用于GPS数据模拟仿真，和GPS语句的分析应用。(GPS data to simulink.)

计算机图形学网络课程(network computer graphics courses)

混凝土开裂有限元分析(concrete cracking Finite Element Analysis)

说明：  Verilog教程，小梅哥FPGA自学与验证(a basic book of how to learn Veriolg)

说明：  自动控制原理第六版胡寿松主编课后习题答案详解(The sixth edition of automatic control principle)

说明：  Deep Learning With Python_中文版 --本书由Keras之父、现任Google人工智能研究员的弗朗索瓦?肖莱（Franc?ois Chollet）执笔，详尽介绍了用Python和Keras进行深度学习的探索实践，包括计算机视觉、自然语言处理、产生式模型等应用。书中包含30多个代码示例，步骤讲解详细透彻。(Chinese Version - This book is written by Franc OIS Chollet, the father of Keras and current researcher of Google Artificial Intelligence. It introduces in detail the exploratory practice of in-depth learning with Python and Keras, including computer vision, natural language processing, production model and other applications. The book contains more than 30 code examples with detailed steps.)