金银花的模式识别

应用人工神经网络原理，采用误差反向传播方法，通过3层BP网络，对中药金银花进行了模式识别。通过模式识别，对样本进行了成功的分类。结果表明，同一种药物利用不同的仪器、不同的实验方法进行分析，得到不同的实验数据，实验数据的特征值也不尽相同。但通过人工神经网络模式识别，可得到相同的结果，从而证明了人工神经网络性能的优越性。     

远程机器人控制系统的实时性能评估

对基于RT-Linux实时操作系统的远程机器人控制系统的实时性能问题进行了深入研究。针对实时应用和系统的复杂性特点，通过对实际测试数据采样，对实时操作系统的实时机制和实际性能进行了分析和评价，为实时控制系统提供了重要的评定依据。同时对在实际环境中通过实时操作系统控制机器人进行远程作业提供了研究基础，解决了远程控制实时性难以保证的问题。     

基于网络的分布式实时数据库系统的并发控制

通过对网络特性的研究，提出了用于DRTDBS的基于可预测性的并发控制算法。然后通过两个改进措施，即一次全发送的处理方法和动态解决冲突方法，对提出的算法进行了应用扩展，使其同样适用于MDRTDBS。最后通过delphi7．0开发的模拟实验对算法的性能进行了评估。     

IP地址分配方法的探究与改进

本文通过对无分类编址的IP地址进行子网划分的探究，总结出了两种子网Ip分配方法，并对两种方法的优缺点进行研究，着重指出了存在的问题，最后提出了两种方法相结合的改进意见，并通过例证验证了改进后的效率。     

例题55 基于Java的文件上传组件的实现

本文简单分析了上传文件的信息格式，并对上传文件算法进行了描述，通过Java提供的一个接口，对这个算法进行了改进：     

基于运动模式分析的异常行为检测

提出了一种基于运动模式分析的无监督方法用于对视频中的异常行为进行检测。为了有效描述视频场景中的各种目标信息，对每个前景像素点提取了时空描述符，再结合块区域信息并通过词袋模型生成视觉单词，对视频进行表示。提出了一种稀疏主题模型，用以获取视频中的运动主题。通过该模型可以查找出视频中典型的运动模式，并可以此对各视频文件进行编码。通过分析重构精度和运动模式组成对测试视频文件进行检测，判断其中是否包含异常行为。实验在QMUL数据集上进行，实验结果证明了所提方法的有效性。     

基于HFC的NVOD视频点播系统的设计与研究

文章通过对HFC网络结构的介绍，对基于HFC的NVOD视频点播系统进行了分析，并对系统设计的关键技术进行了探讨。     

基于数据挖掘的校园大数据可视化分析系统设计

针对近年来学生异常行为增多问题，以一卡通为基础对校园大数据进行了挖掘与并对挖掘结果进行可视化展示。采用ARIMA时间序列预测模型对校园热点区域人流量分布进行预测，通过基于最小方差和余弦相似度的K-means改进聚类算法归纳了校园消费分布特征，对特征进行聚类，并对每类人群的特点进行了总结分析。实验结果表明，ARIMA时间序列预测模型的预测结果与真实结果的标准误差为23.46,预测结果较为理想；而改进的K-means聚类算法则通过最小方差提高初始质心的代表性，最终模型聚类结果与预期结果基本一致。通过预测和聚类结果，校园管理者可以了解学生群体特征，对学生个性特征、行为规律进行深入分析，预测学生行为，防微杜渐。     

量子力学系统控制的基础及现状

通过对微观量子领域及宏观领域的分析，分别对量子力学系统与经典力学之间的对应关系进行了阐述，并对国际上现有的反馈控制及学习控制进行了介绍并对各自的优缺点进行了分析，在此基础上对量子控制理论的发展前景进行了展望。     

CCD星敏感器光学系统误差的补偿

ＣＣＤ得敏感器的误差中，光学系统的不完善所带来的误差占相当部分。本文对此项误差的来源和作用机理进行了分析。提出了利用待定系数法建立简单公式，通过软件对误差进行补偿的方法。并通过计算举例，对该算法的计算精度进行了评估。     

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。     

基于QTE的蒙古文显示机制研究与实现

蒙古语言是中国蒙古族使用的通用语言,由于蒙古文区别于其他文字的书写方式和其自身变形机制等特点,在很多通用的文字处理引擎中都不被支持。在嵌入式产品开发与应用领域中Linux加QTE已经成为流行方式。该文给出了一种在QTE环境上实现基于标准Unicode的蒙古文点阵显示和变形算法, 并自定义了支持蒙古文的QTE组件,扩展了QTE功能,为在Linux加QTE方式的嵌入式体系结构中处理蒙古文提供了一种解决方法。