IEEE802.15.3a

收集了几个android2.1相关的学习实例源码，ContentProvider主要使用系统的contentProvider。有与数据库相关的，比如ex08_2_SQLite，演示不用contentProvider,直接用裸sql进行操作。介绍DatabaseHelper.删除表的知道了，但是删除数据库的没有发现.还有其它的源码，学习不错，敬请下载。

说明：  通过rs485串口实现数据的读取，对数据进行分析(Read data through RS485 serial port and analyze data)

hyesco usb devce driver

说明：  服务器客户端c#通讯实例，使用socket通讯(c/s c# communication example)

说明：  LAMPS单晶切削自动建模脚本 --作者YSZ(Scripts for automatic modeling of lammps single crystal cutting)

孙鑫C++教程2 C++语言面向对象简析(Sun Xin C++ Tutorial 2 C++ language Object-Oriented Analysis)

K-means算法是基于划分的思想，因此算法易于理解且实现方法简单易行，但需要人工选择初始的聚类数目即算法是带参数的。类的数目确定往往非常复杂和具有不确定性，因此需要专业的知识和行业经验才能较好的确定。而且因为初始聚类中心的选择是随机的，因此会造成部分初始聚类中心相似或者处于数据边缘，造成算法的迭代次数明显增加，甚至会因为个别数据而造成聚类失败的现象。(K-means algorithm is based on the idea of partitioning, so the algorithm is easy to understand and the implementation method is simple and feasible, but it requires manual selection of the initial number of clusters, that is, the algorithm is with parameters. The number of classes is often very complex and uncertain, so professional knowledge and industry experience are needed to better determine. Moreover, because the selection of initial clustering centers is random, some initial clustering centers will be similar or at the edge of data, resulting in a significant increase in the number of iterations of the algorithm, and even the phenomenon of clustering failure due to individual data.)

一级直线倒立摆的反演控制及基于RBF神经网络的反演控制(linear inverted pendulum control based on backstepping control and RBF neural networks)

这是一个很不我键盘LED驱动参考程序,希望对大家有所帮助-This is a very I keyboard LED Drivers reference program, we hope to help

将nc文件批量转为tif格式的小程序，在idl中运行(batch tool used for netcdf to tif)