基于RFID技术的智能语音播报系统设计

提出一种基于RFID(射频识别)和单片机技术的智能语音播报系统方案。采用RFID读卡器读取RFID电子标签信息,通过串口发送给AT89S52单片机。单片机根据接收到的数据控制语音模块,实现准确播报。实验证明,该系统具有很好的卡片识别和准确播报能力,为旅游景点和博物馆自助讲解、公交车站自动报站等系统的设计提供参考。     

一种智能探测机器人的设计与实现

为实现工业生产中的数据自动采集和智能探测任务,设计了一种轮式驱动的智能探测机器人;介绍了探测机器人的系统方案、硬件设计和软件设计,系统采用嵌入式控制技术,主控器以ARM9系列S3C2440A为处理器,驱动器以AVR单片机ATmega16L为处理器,控制直流驱动电机的速度和转向;ARM9采用Linux操作系统,AVR单片机采用基于PID算法的C语言编程;探测机器人实现了自动寻迹、智能避障、温度探测、图像采集、无线通信等功能;整机调试和运行表明,所设计的软、硬件达到了各项要求,探测机器人具有高智能化、高性价比等技术特点,推广应用价值较大。     

RFID及其在动物识别与跟踪中的应用

介绍了无线射频识别（RFID）及其主要组成部分：阅读器和电子标签的工作原理,以及RFID的射频调制、数据通信和多目标同时识别。阐述了对动物的识别与跟踪的重要性。着重说明了RFID在动物识别与跟踪中的具体应用,给动物安装电子标签的基本方法。并指出RFID的应用前景十分广阔,能否大力推广RFID关键是要形成统一的RFID国际性标准和降低电子标签的价格。     

基于RFID的汽车零配件追踪管理系统的设计

提出一种基于RFID技术的汽车零配件生产追踪管理系统的新方法;该方法为每一批汽车零配件配置电子标签,数据库管理系统记录了电子标签和产品的关联信息;整个系统由平行分布于工序设备岗位上的RFID智能数据采集终端、各个车间级前置机、业务台管理级计算机和上层数据服务器3层构成;该系统较好地实现了计划层和车间控制层的联接和实施;详细介绍了整个系统的构成方法、RFID终端硬件的设计及系统功能的实施.     

基于零中频接收技术的RFID阅读器射频电路单元的设计

射频识别(RFID)是一种利用射频电磁波信号,通过电磁耦合原理对目标实现远距离自动识别的技术,该技术的优点在于不需要与被识别目标进行近距离的直接接触;一套射频自动识别系统一般由天线(可能不止一副)、阅读器和电子标签3部分构成;对RFID阅读器中基于多通道零中频解调技术的射频电路单元进行了分析和介绍,并设计制作了工作频率为915MHz、射频输出功率为30dBm的实际射频电路,电路的性能指标完全符合设计的要求,工作良好。     

基于深度相机的移动机器人视觉跟踪控制研究

基于视觉利用移动机器人进行运动目标跟踪,该文提出一种基于二自由度云台和RGB-D相机的运动目标视觉跟踪及移动机器人路径实时规划、跟踪方法。该方法利用核相关滤波算法在图像中实时追踪目标,控制二自由度云台使深度相机实时对准目标,并根据深度相机得到目标的深度信息,利用坐标转换得到目标相对于机器人的位置信息;其后移动机器人根据目标的位置信息,基于五次多项式进行路径规划;最后采用李雅普诺夫控制律对移动机器人进行轨迹跟踪控制,使得机器人能够平稳地跟踪目标运动。该算法在阿克曼移动机器人上进行了实验,实验结果验证了算法的有效性和实时性。     

制造业RFID应用系统

该项目是为服装制造企业的新型智能制衣物料配送系统而开发的,原有生产线主要采用条码的方式来识别和控制生产流程,现在运用最新的RFID（无线射频识别,电子标签）技术来完全替条码系统,使生产线可以不间断、非接触的识别智能吊架系统成为现实;同时,系统允分发挥电子标签可在线实时读写电子标签信息的功能,     

基于RFID（视频识别）电子标签的物流控制管理系统设计

本文提出了一种基于RFID电子标签的物流控制管理系统，系统采用RFID电子标签、GPRS、GPS及IC卡对重要货物进行全程监控。利用RFID电子标签实现货物识别，利用IC卡实现有关人员的身份识别，利用GPS技术完成货物实时定位，利用GPRS系统短信传输货物信息。给出了系统的总体设计，分析了系统中的通信协议，讨论了系统设计中的关键技术，该系统是一种全面解决物流控制的整体解决方案。     

基于单片机智能机器人控制系统研究设计

利用红外传感器光电转换特性．以AT89C51单片机作为核心控制单元对检测信号进行处理，完成了智能机器人控制系统的设计。文章详细介绍了系统构成、软硬件设计方法。该机器人控制系统基于红外技术、单片机技术等设计，实现了步行、跟踪、避障、步伐调整、语音、声控、液晶显示、地面探测等功能。系统在智能性、准确性、实时性方面达到了较高的要求，具有较好的应用前景。     

RFID和WSNs技术在机器人协同定位中的应用研究

针对常用定位技术难以满足移动机器人协同定位精度高、实时性强的要求,提出了射频识别(RFID)和无线传感器网络(WSNs)混合定位技术。采用有源RFID定位技术,参考身份标识ID对应的电子标签在未知环境中的位置坐标,利用接收到的信号强度结合改进的极大似然估计算法确定出单个机器人的位置坐标。基于WSNs技术,确定出父节点机器人与预协作子机器人之间的相对方向和距离信息。给出了机器人自身绝对位置和协作机器人之间相对定位的算法,并通过实际电路和程序设计进行了实验验证。结果表明:该方法有效,可取,可解决多机器人可协同定位的范围小,精度低,实时性差等问题。     

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。