基于USB的有机磷农药检测系统设计

为实现在农业生产中对有机磷农药的残留量进行快速有效地检测,设计了一种基于USB的有机磷农药检测系统。首先简单介绍了有机磷农药检测系统的工作原理,然后利用ARM微控制器实现数据采集,并通过USB与上位机PC机通信,实现下位机与上位机数据的实时传输,最终实现有机磷农药检测系统的功能,该系统可以有准确有效地检测出溶液中有机磷农药的残留量。     

基于LabVIEW平台的电子鼻系统设计

为了检测CH4,CO气体,设计了基于STM32F103和LabVIEW的智能电子鼻系统;该系统利用STM32F103作为核心控制系统,筛选出6只电化学传感器组成的阵列,传感器的响应信号经过电路放大转换后传输到上位机;利用LabVIEW开发上位机软件,将数据采集系统与神经网络模式识别系统无缝连接.经过实验验证,该系统运行稳定可靠,通过对9种不同比例混合的CH4和CO气体进行检测,CO的平均误差为5.52×10-6,CH4的平均误差为7.15×10-6,测试结果满足要求.     

基于PLC和超声波传感器的工件高度检测装置设计

采用超声波传感器设计了一种非接触式生产线工件高度检测装置.以S7-200 PLC为控制器,设计了超声波传感器与控制器的硬件电路,完成了系统的软件设计和触摸屏上位机通信.实验结果表明:该装置智能化与测量精度较高,可靠性好,可较好地应用于自动化生产线中非接触式工件高度的检测.     

轮胎圆度检测控制系统设计

该文介绍了一种轮胎外形轮廓检测系统的检测原理、系统组成及控制系统设计。采用两级计算机控制系统,上位机完成数据的采集、处理、显示以及计算结果和检测参数的管理,下位机由三菱Q系列PLC的高性能CPUQ02H、运动控制器172H和J3系列伺服控制系统组成,驱动三支激光传感器运动,完成精确定位并通过它们来宾现对轮胎外形轮廓的精确测量。上、下位机之间采用以太网通信,更换规格时上位机自动下传传感器位置参数到PLC。该系统通过长时间在青岛高校软控股份有限公司生产的动平衡及不圆度试验机上的应用,表明其运行稳定,测试效率高。     

基于PCA和LVQ混合神经网络算法的电子鼻系统

为了对食物品质进行非接触式评价,采用6种费加罗金属氧化物半导体传感器阵列设计并研制了可对被测食物进行无损检测的电子鼻系统.系统主要由采样模块、控制模块和上位机组成,并采用主成分分析(PCA)和学习矢量量化(LVQ)混合神经网络模式识别算法对气体“指纹信息”数据库进行分析.实验结果表明,利用该电子鼻系统可以对5种不同的食用酱进行检测,并且具有对未知酱品进行识别的功能.     

碳纳米管/PDMS复合材料柔性阵列压力传感器制备与实验

以碳纳米管（CNTs）作为导电填料,聚二甲基硅氧烷（PDMS）为基体材料,采用溶液法制备出CNTs/PDMS导电复合材料。研究了碳纳米管浓度对复合材料的电学特性和压阻特性的影响规律,得到碳纳米管在PDMS中的渗滤区域。通过复合材料的压力灵敏度优化碳纳米管浓度。以制备的复合材料为敏感材料,FPCB工艺加工的柔性基板为电极,设计制备了一种简单结构和工艺的柔性阵列压力传感器。用零电势法设计了阵列电阻读出电路与LabVIEW实现的上位机配合,实现信号读取和显示。最后通过一个应用实例表明,该柔性阵列压力传感器及信号处理系统可以实现压力分布与大小的实时监测,可为柔性阵列压力传感器设计与制备提供参考。     

颜色检测系统的设计与实现

针对检测过程中原有各种颜色检测系统存在的不足,设计了一种基于LabVIEW的颜色检测系统.该系统利用高速数据采集卡PCI-1716对颜色传感器TCS230进行数据采集,然后采用LabVIEW实现与上位机的通信,并对数据进行处理、显示和保存,最终将数据还原为颜色,并完成对颜色的检测.试验结果表明,基于LabVIEW的颜色检测系统大大降低了计算机与其他MPU之间通信的复杂度,同时减少了软件设计的工作量,为颜色检测提供了一种简便的新途径.     

基于S3C2440A的无创血氧检测系统设计

为了实现血氧饱和度的动态检测,设计了基于S3C2440A处理器的无创血氧检测系统.该系统以S3C2440A为控制核心,对血氧传感器的信号进行实时分析和处理,并通过串口发送至上位机.依据近红外光谱分析技术的无创血氧检测的原理,设计了血氧饱和度检测传感器,根据传感器的高阻抗特性,设计了驱动电路、血氧信号调理电路及高精度的信号转换电路.该系统实现了血氧信号的实时无创检测,具有快速性、可靠性和较高的精准度.     

真空断路器新型智能在线监测系统研制

介绍了一种所研制的真空断路器新型智能在线监测系统.该系统采用分布式结构,下位机以TMS320F2812DSP为核心.外扩液晶显示、CAN通讯接口等电路,并选用位移传感器、霍尔电流传感器完成对真空断路器机械特性的测试;上位机监测软件采用VB软件开发.上、下位机之间采用CAN总线通讯方式实现数据的传输.经现场测试,该系统工作稳定,可靠性较好.实现了预期功能.     

基于多微处理器的智能超声探测系统

设计了一种基于多微处理器的智能超声探测系统.该系统采用由上位工作模式控制单元和下位智能超声传感器阵列组成的分布式结构.每个超声传感器均由独立的微处理器控制,并完成实时数据处理、抗干扰处理、故障报警以及数据通信等功能.上位控制单元根据移动机器人的运动状态采用不同的控制策略,使下位传感器阵列分组并行工作,提高了探测系统的实时性;下位传感器采用"阈值比较法"、"改进型递推均值滤波"算法和模糊信息处理技术,提高了探测系统的准确性、可靠性.将该探测系统安装于RIRA-Ⅱ移动机器人上,进行了基于主动视觉和超声信息的运动目标跟踪实验,实验表明超声探测系统运行可靠、稳定.     

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。