BanXuanTrieu_2001140278_Tuan9

使用qt-c++來做為gui應用的教學檔，包含建立環境與第一次的Project建立(Use qt c++ to do the teaching file for gui applications, including the establishment of the environment and the establishment of the first Project)

利用计盒维数计算一维数据的一致分形维数以及广义分形维数(The uniform fractal dimension of one- dimensional data and the generalized fractal dimension are calculated by using the box- counting dimension)

迷宫小游戏，尽可能的模仿现实中的迷宫游戏(Maze small game, as far as possible the imitation of the real maze game )

说明：  仿真器开发资料。TI新一代仿真器XDS100V3.(Simulator development data. TI new generation simulator XDS100V3.)

规则都是针对的是C语言本身缺陷或容易被误解的点，如：自动变量如果不初始化就使用会出现随机值、不同类型数据赋值容易出现的隐式转换；没有包含诸如注释、变量名、编码格式等统一编程风格的内容。(The rules are for the C language itself is defective or misunderstood, such as: if you do not use the automatic variable initialization will appear random values, implicit prone to different types of data assignment conversion; does not contain such as comments, variable names, encoding format unified programming style content.)

在UCOSII里面创建3个任务：开始任务、LED0任务和LED1任务，开始任务用于创建其他（LED0和LED1）任务，之后挂起；LED0任务用于控制DS0的亮灭，DS0每秒钟亮80ms；LED1任务用于控制DS1的亮灭，DS1亮300ms，灭300ms，依次循环。(Create three tasks in UCOSII: start task, LED 0 task and LED 1 task, start task to create other tasks (LED 0 and LED 1), then hang up; LED 0 task to control the brightness of DS0, DS0 80 ms per second; LED 1 task to control the brightness of DS1, DS1 300 ms, 300 ms, in turn, cycle.)

Dapper.NET是个开源的轻型ORM。它扩展了IDbConnection接口的功能，可以支持MS SQL Server、Oracle、MySQL、PostgreSQL、SQLite、SqlCe、Firebird等。(Dapper ORM MS SQL Server,Oracle,MySQL,PostgreSQL,SQLite,SqlCe,Firebird)

分布式架构设计案例之eurka，使用微服务实现分布式，解除代码之间的耦合度，降低系统性能消耗(Case of distributed architecture design eurka)

说明：  针对使用传统分类器预测配变重过载会因为重过载样本率较低而带来的总正确率很高，重过载预测正确率却很低这一问题，将重抽样与随机森林理论引入分类模型中，构建重抽样-随机森林分类器对配变重过载进行预测。结果表明，新方法在预测配变日重过载类型、重过载开始与结束时间、重过载严重程度方面有较高的准确率。(For the problem of using the traditional classifier to predict the distribution of heavy overload, the total correct rate is high because of the low overload sample rate, and the accuracy of the heavy overload prediction is very low. The resampling and random forest theory are introduced into the classification model. In the construction, the re-sampling-random forest classifier is used to predict the heavy-duty overload. The results show that the new method has higher accuracy in predicting the type of daily variable overload, the start and end time of heavy overload, and the severity of heavy overload.)

雷达对抗原理 赵国庆Chapter5_radar_duikang_yuanli.rar-radar confrontation principle Zhao Guoqing Chapter5_radar_duikang_yua nli.rar