use JAVA call for AutoCAD graphics operational needs VJ6.0

用java编RMI程序-series with RMI procedures

好东西，有空就可以看一下-good things, the time could look at

日期转换的方法，很使用的程序哦，希望能对大家有所帮助-date conversion method is the use of the procedures Oh, we hope to help

利用SOCKET,写的一个点对点聊天的源代码！~希望能给大家提供一些参考！~有建议的尽管提哦！~-Use SOCKET, written by a peer-to-peer chat source code! ~ Hope that I can provide some reference to U.S.! ~ Has recommended despite mentioning Oh! ~

一个用Java实现的俄罗斯方块applet游戏，程序界面与以前的有些不同。-using a Java applet of the game Tetris, procedures and the interface is slightly different from the past.

Java I/O API之性能分析 IO API的可伸缩性对Web应用有着极其重要的意义。Java 1.4版以前的API中，阻塞I/O令许多人失望。从J2SE 1.4版本开始，Java终于有了可伸缩的I/O API。本文分析并计算了新旧I/O API在可伸缩性方面的差异。 -Java I/O API for the Performance Analysis IO API scalability of Web applications is extremely important significance. Prior to version 1.4 of Java APIs, blocking I/O to the disappointment of many. From J2SE Version 1.4, Java has finally come up with scalable I/O API. This analysis and the calculation of old and new I/O API in the scalability of the differences.

v一个java写的html转换为txt的小程序。 其他的没什么多说的，大家看看吧.-Java written in a html convert txt small procedures. The other said no more, let us look at it!

file transfer using rmi

[linux.rar] - 嵌入式linux开发教程，从嵌入式linux的基本应用，C语言应用程序开发，到嵌入式linux平台的构建，再到网络应用程序，驱动程序开发，讲的很全。 [Warehouseapplet.rar] - 类似网上商店，applet做的介面，有服务器端，列出各种商品 [Postlet-src-0.13.zip] - 文件上传，可以实时显示上传进度条的，基于applet [uploadfile.rar] - 使用java实现多线程下载，包含断点续传。-[linux.rar]- embedded linux development of curricula, from basic linux embedded applications, C language application development, embedded linux platform to build, and then to web applications, driver development, said very wide. [Warehouseapplet.rar]- similar to online stores, applet interface to do, there are server-side, listing a variety of goods [Postlet-src-0.13.zip]- file upload, you can real-time display of upload progress bar, based on the applet [uploadfile.rar]- the use of multi-threaded java download, including HTTP.

基于决策树实现的AdaBoost分类器，是一个由多个弱分类器进行训练生成强分类的过程。(Based on AdaBoost classifier tree implementation, is a plurality of weak classifiers in the training process generates a strong classifier.)