基于LVDS的车用测试系统数据采集模块设计

低电压摆幅的差分信号(LVDS,low voltage differential signaling)非常适合应用于具有多频段电磁辐射源的汽车.依据目前车辆电驱动系统的性能测试指标,应用LVDS技术进行数据采集,构建了一套车辆电驱动系统性能的测试平台.实验表明,该数据采集模块软硬件结构设计合理,满足系统功能要求,测试平台具有良好的可扩展性、灵活性以及通用性.     

基于LXI总线的液浮陀螺稳定平台自动化测试系统设计与实现

针对某型液浮陀螺稳定平台测试系统相对比较复杂、自动化程度不高的问题,提出将LXI总线技术和IVI技术应用到液浮陀螺稳定平台测试系统中,研制了自动化测试系统;LXI总线技术和IVI技术的应用降低了系统的开发难度,提高了系统的测试精度和可靠性,具有很好的可扩展性;该系统能很好的完成液浮陀螺稳定平台各项功能和精度的测试。     

机载网络数据实时处理系统设计

随着C919等大型飞机的出现,测试系统对机载实时处理系统提出了更高的技术要求;机载网络数据实时处理系统采用实时性较强的vxWorks开发环境,通过合理调配各个功能模块之间的资源,即合理分配线程来实时的完成所有功能;经过科研试飞验证,该系统具备3 000个参数的实时处理能力,系统运行稳定可扩展性强,满足目前大飞机机上测试系统数据实时处理任务的要求,对保障大飞机试飞科目的顺利进行具有积极的意义。     

基于FPGA和DSP的机载高清VGA视频采集系统设计与实现

针对某新型机载视频测试需求的迫切性以及目前测试方法和设备不能满足试飞测试需求的问题,以TMS320DM6467T芯片为核心处理单元,采用FPGA和DSP设计技术,完成了机载高清VGA视频采集系统的硬件和软件设计,成功解决了该型机载视频的采集与处理,实现了对该机专用视频采集各要求项目的自动测试功能和自检功能;该视频采集系统已成功得到应用;实践表明,该系统能够满足测试需求,具有测试精度高、运行稳定、可扩展性好等特点。     

汽车电动助力转向虚拟测试系统研究

汽车电动助力转向是一种利用电动机直接为汽车转向系统提供助力的高新技术,代表着未来汽车动力转向技术的发展方向;从而迫切需要一种方便、快捷的EPS系统测试仪器,而传统的测试系统在便捷性、可靠性、可扩展性方面都具有一定的局限;针对这种情况,文中应用目前最流行的虚拟仪器软件开发平台LabVIEW软件开发汽车电动助力转向系统虚拟测试仪器;考虑到LabVIEW软件不直接支持第三方数据采集卡的背景,提出了基于LabVIEW软件的单片机、PC机串口通信的测试方案,并成功开发了该虚拟测试系统;测试结果表明,该测试系统具有操作简便、工作可靠、开发成本低等优点,对相关虚拟测试系统的开发具有一定的借鉴价值.     

面向汽车零部件振动测试分析的软件平台开发

提出了一种现代汽车零部件振动测试分析软件的开发框架和模型,结合车辆液力减振器试验系统的开发实例,探讨了利用VC 软件开发工具构建基于Windows环境并面向汽车零部件振动测试分析的软件平台的设计和实现方法。该平台由于拥有自己的源代码,因而具有较大的灵活性和可扩展性,能够更好地适应现代汽车零部件振动测试与分析的各种特殊要求。     

基于LabWindows/CVI与Matlab混编的在线BCI系统

基于LabWindows/CVI和Matlab设计一个BCI在线控制系统,对8Hz～30Hz的运动想象脑电信号提取时域均值、中值偏差估计、瞬时能量均值、AR模型参数等特征,应用增量式支持向量机进行分类,实现人脑对虚拟汽车直接控制。系统采用了多线程技术,保证各项工作的同时进行,在CVI中完成脑电数据采集、Matlab调用和控制指令的发送,在Matlab中进行脑电模式识别,两个程序共同完成对虚拟汽车的运动控制。经过实际测试证明,该系统具有操作简单方便、界面友好、可扩展性强、效率和可靠性高等优点,进一步推动了BCI的应用。     

新能源汽车组合开关无线动作测试系统设计

针对新能源汽车组合开关动作测试仪器较贵、使用不便、功能较少等问题，基于无线网络技术设计了一个动作测试系统。以CAN-WiFi转换器为核心，搭建了新能源汽车组合开关CAN网络命令与WiFi信号相互转换的硬件网络平台，利用.NET框架异步编程模型设计了一个软件系统，通过读取WiFi信号获取新能源汽车灯光和雨刮的工作状态，并可以通过向车载网关控制器发送组合开关CAN网络命令控制灯光和雨刮动作。结果表明，组合开关动作测试响应及时，可靠性高，系统软硬件方案设计合理，成本低廉，客户端程序容易在手机端实现，终端平台可扩展性好，能够满足新能源汽车组合开关动作测试需求。     

基于PXI总线的导弹测试与实验系统

根据当前导弹控制系统测试现状,提出了一种基于虚拟仪器技术和网络化的自动化测试与实验系统方案,探讨了PXI这一先进总线技术在导弹控制系统分系统测试的应用;利用虚拟仪器技术和PXI总线技术,组建高精度、多用途、具有自诊断功能的分系统测试与实验系统,系统基于模块化设计,具有良好的通用性和很强的可扩展性,能够完成对不同型号导弹的测试任务;结合网络技术,系统不仅可以用于教学实验中的教员演示实验、学生动手做实验方面,还可以提供远程监控和诊断功能。     

高性能证券交易撮合系统的设计和实现

高性能、高可靠性和高可扩展性是对证券交易撮合系统的基本要求.以一个面向实际应用的系统为讨论基础,描述了撮合系统的设计原理和技术实现方式,并重点阐述了实现其高性能的关键技术.这些技术包括撮合算法和数据库读写的分离、撮合队列的优化、队列拥塞的控制以及多级数据缓冲的设计等.最后用搭建的测试平台对撮合系统进行性能测试.结果表明,系统已达到基本的高性能要求.     

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.