基于Web的高校毕业生就业招聘系统的设计与实现

随着计算机技术和Internet的迅猛发展 ,计算机网络在社会生活中扮演着越来越重要的角色。我国各高等院校纷纷建立自己的校园网 ,使高校的办公、教学和管理工作发生了巨大的变化 ,也使得工作具有了新的特点 ,对教学管理工作提出了新的要求。针对高校毕业生就业招聘的问题 ,提出了基于Web的高校毕业生就业招聘系统的设计 ,并在校园网Intranet平台上实施 ,获得了很好的效果。     

基于彩色静止数字图像的信息隐藏技术研究

数字图像的信息隐蔽技术是数字图像处理领域中最具挑战性、最为活跃的研究课题之一。本文概述了数字图像的信息隐蔽技术，并给出了一个新的基于彩色静止数字图像的信息隐蔽算法。     

基于数字签名的数据自动上载的研究与实现

数字签名是近几年发展起来的用于保证网络数据传输安全的一项实用技术。介 绍了数字签名的基本原理，详细讨论了利用数字签名技术进行数据自动上载的实现策略，并 给出了基于数字签名技术实现的Bookmark（书签）自动上载实例。     

数字城市的基本构架体系

提出了数字城市的基本结构框架。对数字城市建设中的基础设施和应用体系分别进行了详细的阐述，同时阐明了建设数字城市的重大科学意义和社会意义。     

基于DSP的SVPWM的研究

该文对空间矢量脉宽调制(SVPWM)的理论进行了较详细的讨论。利用DSP电机控制器TMS320F240分别用硬件和软件方式实现SVPWM,分析了两种方法的优缺点,并给出了相应的实验结果。     

Robust and efficient content-based digital audio watermarking

This paper proposes a set of digital watermarking schemes for WAV audio, WAV-table synthesis audio and compressed audio. The watermark embedding scheme is closely related to audio content and based on the human auditory system. The experimental results in listening and robustness illustrate that the proposed watermarking schemes can achieve an optimal balance between audibility and robustness of the watermarked audio. The proposed methods are also very useful and effective for copyright protection, tracing illegal distribution and other applications.     

RSA用于手机用户的数字签名方法

本文从利用中国剩余定理对RSA签名算法的简化计算、预处理及对多素数RSA算法的证明和讨论等角度出发，在提高手机用户数字签名的速度方面作了探讨，以供参考。另外，在进一步提高数字签名的鉴别性和速度方面提出了一些建议和展望，希望能起到抛砖引玉的作用。     

数字水印及其应用

数字水印是用信号处理的方法，在数字化的多媒体数据中嵌入的隐蔽标记，本文研究了数字水印的关键技术，探讨了数字水印在版权保护、电子交易，票据防伪等方面的应用，最后展望了数字水印的发展前景。     

An authorization system for digital libraries

Digital Libraries (DLs) introduce several challenging requirements with respect to the formulation, specification, and enforcement of adequate data protection policies. Unlike conventional database environments, a DL environment typically is characterized by a dynamic subject population, often making accesses from remote locations, and by an extraordinarily large amount of multimedia information, stored in a variety of formats. Moreover, in a DL environment, access policies are often specified based on subject qualifications and characteristics, rather than subject identity. Traditional authorization models are not adequate to meet access control requirements of DLs. In this paper, we present a Digital Library Authorization System (DLAS). DLAS employs a content-based authorization model, called a Digital Library Authorization Model (DLAM) which was proposed in previous work [1]. Edited by Y. Yesha. Received: 21 December 2000 / Accepted: 6 March 2002 Published online: 14 May 2002     

Improvements in the predictive capability of neural networks

Neural networks can be used to develop effective models of nonlinear systems. Their main advantage being that they can model the vast majority of nonlinear systems to any arbitrary degree of accuracy. The ability of a neural network to predict the behavior of a nonlinear system accurately ought to be improved if there was some mechanism that allows the incorporation of first-principles model information into their training. This study proposes to use information obtained from a first-principle model to impart a sense of “direction” to the neural network model estimate. This is accomplished by modifying the objective function so as to include an additional term that is the difference between the time derivative of the outputs, as predicted by the neural network, and that of the outputs of the first-principles model during the training phase. The performance of a feedforward neural network model that uses this modified objective function is demonstrated on a chaotic process and compared to the conventional feedforward network trained on the usual objective function.