基于TinyOS系统在CC2530下的点灯程序

Jennic的Zigbee协议Demo程序，提供给大家学习-Jennic"s Zigbee agreement Demo procedures, and providing for everyone to learn

GPRS手机模块的AT指令，适合开发gprs串口驱程-GPRS handsets AT command module suitable for the development of serial drive-EDGE

Introduction To Mobile Telephone Systems: 1G, 2G, 2.5G, and 3G Wireless Technologies and Services

可以防止同一用户多次登陆，win32asm+odbc+tcp编写（多线程）-users can prevent the same number of landing, win32asm odbc tcp prepared (multithreaded)

1394 网口 等通信接口的优劣比较，尤其在图像处理的图像信息传输中有很大参考作用-1394 network communication interface, etc. I compare the advantages and disadvantages, especially in image processing of image information transmission in a large reference

IOCP(I/O Completion Port,I/O完成端口)是性能最好的一种I/O模型。delhi下的IOCP实现，一些代码和测试。

开发框架。 一.说明： 此框架的意图是解决手机软件开发中常遇到，并且可以通用话的问题。 旨在提高无线应用程序的开发效率 二.EasyMF 能做什么 1.简化UI设计 2.RMS的简化操作 3.简单的日志框架 4.简单的联网框架 5.通用工具的设计 6.一些图形相关的特效 三.EasyMF 的功能列表 1.UI 框架 2.日志框架 3.RMS框架 4.通用工具框架 5.图形相关 6.一堆有用的DEMO 四.EasyMF 的设计原理 1.UI的设计原理 UI是所有应用程序的核心。 这些核心在PC上的变动性比较固定，而由于手机屏幕， 运算能力 等差异，会导致设计一个手机软件大部分时间都花在UI层的设计上，业务 逻辑层往往比较少，这也就是80/20原则吧。 如果有一个可以组装的UI的出现，将大大减少应用程序的开发时间，而EasyMF UI 层就是为了这个而设计的。 2.日志框架设计成尽量的简单，并且有效的记录下用户想需要记录的日志 3.联网框架，简化Http的联网，并十分的符合中国网络环境的东西。 4.工具集合 5.图形图片处理 6.RMS的简易操作 -err

Clonal Selection-Theory-and-CLONALG-The-Clonal-Selection-Classification-Algorithm

获取本机的IP地址-access to the machine"s IP address

ROC curves illustrate performance on a binary classification problem where classification is based on simply thresholding a set of scores at varying levels. Lenient thresholds give high sensitivity but low specificity, strict thresholds give high specificity but low sensitivity the ROC curve plots this trade-off over a range of thresholds (usually with sens vs 1-spec, but I prefer sens vs spec this code gives you the option). It is theoretically possible to operate anywhere on the convex hull of an ROC curve, so this is plotted too. The area under the curve (AUC) for a ROC plot is a measure of overall accuracy, and the area under the ROCCH is a kind of upper bound on what might be achievable with a weighted combination of differently thresholded results from the given classifier -ROC curves illustrate performance on a binary classification problem where classification is based on simply thresholding a set of scores at varying levels. Lenient thresholds give high sensitivity but