VB学习一些经典的例子，做VB开发的朋友可以看到跳…

主要讲解基于Linux的入侵检测系统，的实现-Mainly on the Linux-based intrusion detection system, the realization of

硬件类参考资料。来自intel,关于976x芯片组的说明。一般的硬件开发人员用不上，呵呵呵。-Hardware reference category. From intel, on the 976x chipset note. Generally do not have access to the hardware developers,呵呵呵.

控制步进电机的c语言程序，大家来看一下，点评点评-Control of stepper motor c language program, look at everybody, Comments Comments

STRUTS电子书，能学习STRUTS绝对有帮助。-STRUTS e-books, to learn STRUTS definitely be helpful.

微妙级精度的定时器制作的源代码 很实用 并且有详细的解释-Subtle-level precision timer produced by the source code is very useful and has a detailed explanation of

有关C++编程学习的习题和答案,谭浩强第三版。-Of the C++ programming learning exercises and answers, " > Hao strong third edition.

并本文对两大类步态识别算法进行了深入研究，其主要内容集中于步态特征的提取和分类器的设计两部分。 在特征提取阶段采用多种不同的方法提取多种不同的步态特征，其中效果较好的是一种基于模型的特征提取方法。本文使用关键点和肢体角度构建人体的骨骼化模型， 并对模型的各项参数提取做了改进，从人体的骨骼化模型中提取人体的静态参数(如身高、步幅等)以及动态参数(如运动过程中关键点的位置、运动轨迹、肢体角度、-and two types of paper gait recognition algorithm for in-depth study Its main contents concentrated in the gait characteristics of the extraction and classification of the design of two parts. Feature extraction stage in the use of different methods of extracting different gait characteristics, the effect of which is a better model-based feature extraction methods. Using the key points and limbs angle Construction human skeleton model and the model parameter extraction made improvements, from the human skeleton model of the human body from the static parameters (such as height, Stride) and dynamic parameters (such as the process of movement key points, trajectory, physical perspective,

本文分别介绍了利用软件、外接计数芯片及单片机内部计数器实现对编码器输出脉冲进行计数的方法。-This paper describes the use of software, external MCU chip and the internal counter counts to achieve the output of the encoder pulse counting method.

代码是12864的vhdl驱动程序 并带有字库 -The vhdl code 12864 with a font driver

面像识别技术在智能交通系统中的应用研究 北京高校的一个论文，与人脸识别应用开发的爱好者交流学习-face recognition technology in the Intelligent Transportation System of Beijing University study of a thesis, Face recognition with the development of applications lovers exchange study