基于DES加解密技术的电子文档访问控制方法

电子文档的在线阅览已经非常普遍.付费用户可以下载文档或在线阅读文档的全部内容,而普通用户则只允许预览有限的内容.通过这种方式可以在一定程度上实现对电子文档使用范围的控制.但该方式的不足在于,付费用户下载文档后,可以随意将下载的文档转发给他人.因而,如何在文档被下载后依然能对其使用范围进行限制,从而更好地实现版权保护,值得研究和摸索.本课题重点研究电子文档的线上线下访问控制方法：通过对注册用户权限的限制实现电子文档的线上访问控制,基于DES加解密等技术控制下载文档的线下使用范围.实验结果表明,本文所提出的基于DES加解密技术的电子文档线上线下访问控制方法,能够更加有效地对电子文档的访问权限进行控制,具有更强的版权保护力度.     

水源区生态补偿机制理论框架研究

建立和完善水源区生态补偿机制,对保护水源区生态环境以及地区之间的协调可持续发展至关重要。在总结前人研究成果的基础上,从生态保护成本(或效益)外部性问题内部化,依据"公平、公开、公正"和"谁受益谁补偿、谁破坏谁治理"的原则,提出了水源区生态补偿概念;从生态补偿主客体的划分,补偿标准,补偿模式与补偿方式,补偿保障措施等方面提出了水源区生态补偿机制理论框架,为建立和完善水源区生态补偿机制提供理论参考。     

试论我国电子信息产业的知识产权问题

本文分析了我国信息产业中的知识产权现状与问题,提出开展信息产业知识产权信息跟踪与预警分析、专业人才的培养和知识产权宣传普及等对策,提高产业核心竞争力。     

数据库的图象处理方法

随着电脑应用的深入和普及,在计算机人事信息管理过程中,多媒体信息的处理方法和手段已经成为计算机信息处理的一个热门话题。该文探讨了数据库图像存储、处理以及在程序设计中如何还原和再现的一系列问题,对于学习数据库编程具有非常重要的参考和借鉴意义。     

Web软件的易用性测试探究

随着网络技术在软件方面的广泛应用,Web软件以其方便、快速、易操作等特点成为软件开发的重点。作为与用户交互的主要特性,易用性也随之成为Web软件关注的热点,而易用性测试也为越来越多的人所重视。根据Web软件的特点,对Web软件的易用性测试标准、如何进行Web软件易用性测试以及易用性测试的具体操作步骤进行了探讨。     

A theoretical investigation of the emerging standards for web services

Currently, standards for web services are being developed via three different initiatives (W3C, Semantic web services and ebXML). To the best of our knowledge, no theoretical perspectives underlie these standardization efforts. Without the benefit of a strong theoretical basis, the results, within and across these initiatives, have remained piecemeal. We suggest ‘Language–Action Theories’ as a plausible perspective that can effectively define, assess and refine web services standards. In this paper, we first investigate the existing initiatives to identify commonalities that point to theories of ‘Language–Action’ as an appropriate theoretical basis for web services standards. Next, we adapt work from these theories to develop a comprehensive reference framework for understanding web services standards. Finally, we use this reference framework to assess the three initiatives, and analyze the findings to provide insights for future development and refinement of web services standards.

Audio indexing: primary components retrieval

This work addresses the soundtrack indexing of multimedia documents. Our purpose is to detect and locate sound unity to structure the audio dataflow in program broadcasts (reports). We present two audio classification tools that we have developed. The first one, a speech music classification tool, is based on three original features: entropy modulation, stationary segment duration (with a Forward–Backward Divergence algorithm) and number of segments. They are merged with the classical 4 Hz modulation energy. It is divided into two classifications (speech/non-speech and music/non-music) and provides more than 90% of accuracy for speech detection and 89% for music detection. The other system, a jingle identification tool, uses an Euclidean distance in the spectral domain to index the audio data flow. Results show that is efficient: among 132 jingles to recognize, we have detected 130. Systems are tested on TV and radio corpora (more than 10 h). They are simple, robust and can be improved on every corpus without training or adaptation.

Ontology-driven document enrichment: principles, tools and applications

In this paper, we present an approach to document enrichment, which consists of developing and integrating formal knowledge models with archives of documents, to provide intelligent knowledge retrieval and (possibly) additional knowledge-intensive services, beyond what is currently available using “standard” information retrieval and search facilities. Our approach is ontology-driven, in the sense that the construction of the knowledge model is carried out in a top-down fashion, by populating a given ontology, rather than in a bottom-up fashion, by annotating a particular document. In this paper, we give an overview of the approach and we examine the various types of issues (e.g. modelling, organizational and user interface issues) which need to be tackled to effectively deploy our approach in the workplace. In addition, we also discuss a number of technologies we have developed to support ontology-driven document enrichment and we illustrate our ideas in the domains of electronic news publishing, scholarly discourse and medical guidelines.     

基于时域Neal-Smith准则的人机控制系统设计多目标优化研究

为了获得驾驶员和飞机良好的匹配特性,使用基于人机闭环参考模型的方法将飞行品质的要求引入优化算法,进行飞行控制系统设计。首先使用CAP准则建立飞机等效系统模型。然后,基于时域Neal-Smith准则,通过多目标优化算法一次性得到在不同任务条件下的最优驾驶员模型。根据需要选择相应的驾驶员模型,并与飞机等效系统模型组成人机闭环参考模型,进行飞行控制设计多目标优化。仿真结果显示,文中的算法不仅可以整定控制器参数,根据任务需求选取最优驾驶员模型,还可以利用优化结果进行PIO易感性的分析。