数组越界的静态测试分析

给出了一种静态分析方法,静态分析的主要优点就是在程序运行之前就可以对程序故障进行定位。文章首先针对数组越界错误类型进行了分析,介绍了软件测试的一些基本概念,给出了这类错误的静态分析方法,并给出了相应的算法,而后给出了测试系统设计和开发,最后给出了软件测试的实验结果和分析。     

使用统一建模语言研制计算机等级考试教学辅助系统

描述了统一建模语言,给出了系统用例图,详细描述了每个用例的事件流,给出了系统活动图,最后给出了系统设计和实际结果。     

Web数据抽取技术研究初探

该文给出了数据抽取过程中需要的基本定义,描述了数据抽取所基于的页面生成模型。同时给出了EXALG+这种数据抽取方法的基本流程,并给出了这种方法的抽取流程图。     

基于BES7456芯片的OSD的应用平台设计

重点介绍了北京市嵌入式系统重点实验室自主研发的OSD产生芯片BES7456的组成和原理,并给出应用该芯片的具体方法和实现效果.阐述了OSD原理及芯片设计的原理,接着给出根据具体要求需要的外围设计方案,给出了系统软硬件的设计步骤,最后给出实测结果.     

一种基于POE交换机的教学区无线网设计

随着高校信息化建设的不断深入,教学对无线网络依赖越来越大,提出了一种基于POE交换机供电的教学区无线网设计,给出了无线网建设核心流程,给出了无线专网光纤布设流程,分析了教学区域无线网络需求,给出了poe交换机特点和接入交换机配置要求,总结了教室无线规划和设计的要点,最后给出网络实施方案。     

Vague关系

该文给出了关于Vague集的二元关系的基本概念,并就二元Vague关系的性质进行讨论。在此基础上,给出了二元Vague等价关系的定义,最后给出了二元Vague等价关系的充要条件。     

输入输出双线性系统的递推辨识与实现算法

本文对输入输出双线性系统给出了一套完整的辨识方法。首先给出了输入输出方程的一般形式,并对于一类规范型给出了相应地输入输出差分方程。然后给出了确定系统的结构指标和参数估计的递推算法,它改进了由Katta和Nurges(1984)给出的方法,大大缩短了计量时间。另外,还给出了状态方法的简单实现算法。最后,给出了仿真例子说明算法的有效性。     

门级逻辑模拟算法

本文论述了计算机辅助逻辑模拟的基本方法，给出了门级逻辑模拟算法，并在IBMPC-286上编程实现。文中对算法进行了分析。给出算法的时间和空间复杂度。最后给出实例，实践表明，使用本文给出的算法可取得与实际吻合的模拟结果。     

对象关系技术对多维数据计算的支持

在多维数据压缩的基础上,提出了多维数据的CUBE计算方法。首先给出了无限内存算法,其次给出了一个不完全立方体算法,最后给出了完整立方体的计算方法。并与其他CUBE算法作了比较。     

对象关系技术对多维数据计算的支持

在多维数据压缩的基础上，提出了多维数据的CUBE计算方法。首先给出了无限内存算法，其次给出了一个不完全立方体算法，最后给出了完整立方体的计算方法。并与其他CUBE算法作了比较。     

Only connect: teaching, technology and telesis

Abstract This paper describes an approach to the design of interactive multimedia materials being developed in a European Community project. The developmental process is seen as a dialogue between technologists and teachers. This dialogue is often problematic because of the differences in training, experience and culture between them. Conditions needed for fruitful dialogue are described and the generic model for learning design used in the project is explained.     

European Community policy and the market

Abstract This paper starts with some reflections on the policy considerations and priorities which are shaping European Commission (EC) research programmes. Then it attempts to position the current projects which seek to capitalise on information and communications technologies for learning in relation to these priorities and the apparent realities of the marketplace. It concludes that while there are grounds to be optimistic about the contribution EC programmes can make to the efficiency and standard of education and training, they are still too technology driven.     

一种自适应子融合集成多分类器方法

融合集成方法已经广泛应用在模式识别领域,然而一些基分类器实时性能稳定性较差,导致多分类器融合性能差,针对上述问题本文提出了一种新的基于多分类器的子融合集成分类器系统。该方法考虑在度量层融合层次之上通过对各类基多分类器进行动态选择,票数最多的类别作为融合系统中对特征向量识别的类别,构成一种新的自适应子融合集成分类器方法。实验表明,该方法比传统的分类器以及分类融合方法识别准确率明显更高,具有更好的鲁棒性。     

Avoiding semantic and temporal gaps in developing software intensive systems

Development of software intensive systems (systems) in practice involves a series of self-contained phases for the lifecycle of a system. Semantic and temporal gaps, which occur among phases and among developer disciplines within and across phases, hinder the ongoing development of a system because of the interdependencies among phases and among disciplines. Such gaps are magnified among systems that are developed at different times by different development teams, which may limit reuse of artifacts of systems development and interoperability among the systems. This article discusses such gaps and a systems development process for avoiding them.     

Designing economic np control charts: A programmed simulation approach

This paper presents control charts models and the necessary simulation software for the location of economic values of the control parameters. The simulation program is written in FORTRAN, requires only 10K of main storage, and can run on most mini and micro computers. Two models are presented - one describes the process when it is operating at full capacity and the other when the process is operating under capacity. The models allow the product quality to deteriorate to a further level before an existing out-of-control state is detected, and they can also be used in situations where no prior knowledge exists of the out-of-control causes and the resulting proportion defectives.     

The development of robot art

Going through a few examples of robot artists who are recognized worldwide, we try to analyze the deepest meaning of what is called “robot art” and the related art field definition. We also try to highlight its well-marked borders, such as kinetic sculptures, kinetic art, cyber art, and cyberpunk. A brief excursion into the importance of the context, the message, and its semiotics is also provided, case by case, together with a few hints on the history of this discipline in the light of an artistic perspective. Therefore, the aim of this article is to try to summarize the main characteristics that might classify robot art as a unique and innovative discipline, and to track down some of the principles by which a robotic artifact can or cannot be considered an art piece in terms of social, cultural, and strictly artistic interest. This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008     

Explanation and prediction: an architecture for default and abductive reasoning

Although there are many arguments that logic is an appropriate tool for artificial intelligence, there has been a perceived problem with the monotonicity of classical logic. This paper elaborates on the idea that reasoning should be viewed as theory formation where logic tells us the consequences of our assumptions. The two activities of predicting what is expected to be true and explaining observations are considered in a simple theory formation framework. Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given.     

Three Process Perspectives: Organizations, Teams, and People

This paper provides the author's personal views and perspectives on software process improvement. Starting with his first work on technology assessment in IBM over 20 years ago, Watts Humphrey describes the process improvement work he has been directly involved in. This includes the development of the early process assessment methods, the original design of the CMM, and the introduction of the Personal Software Process (PSP)^SM and Team Software Process (TSP){^SM}. In addition to describing the original motivation for this work, the author also reviews many of the problems he and his associates encountered and why they solved them the way they did. He also comments on the outstanding issues and likely directions for future work. Finally, this work has built on the experiences and contributions of many people. Mr. Humphrey only describes work that he was personally involved in and he names many of the key contributors. However, so many people have been involved in this work that a full list of the important participants would be impractical.     

基于复小波噪声方差显著修正的SAR图像去噪

提出了一种基于复小波域统计建模与噪声方差估计显著性修正相结合的合成孔径雷达(Synthetic Aperture Radar,SAR)图像斑点噪声滤波方法。该方法首先通过对数变换将乘性噪声模型转化为加性噪声模型,然后对变换后的图像进行双树复小波变换(Dualtree Complex Wavelet Transform,DCWT),并对复数小波系数的统计分布进行建模。在此先验分布的基础上,通过运用贝叶斯估计方法从含噪系数中恢复原始系数,达到滤除噪声的目的。实验结果表明该方法在去除噪声的同时保留了图像的细节信息,取得了很好的降噪效果。     

How do children do mathematics with LOGO?

Abstract  This paper considers some results of a study designed to investigate the kinds of mathematical activity undertaken by children (aged between 8 and 11) as they learned to program in LOGO. A model of learning modes is proposed, which attempts to describe the ways in which children used and acquired understanding of the programming/mathematical concepts involved. The remainder of the paper is concerned with discussing the validity and limitations of the model, and its implications for further research and curriculum development.