基于ZigBee无线传输技术的电子听诊器

设计一种基于ZigBee无线传输技术的实用电子听诊器,能够采集和处理人体心音数据,并将处理后的数据通过无线传输方式发送出去,接收端通过USB通信接口将数据传输到上位机进行实时显示.该设计运用MEMS麦克风采集心音信号,前置放大和滤波端提供信号放大和滤波等调理功能.无线传输模块采用TI公司的集成无线收发芯片CC2530.     

基于中医闻诊的智能听诊器心音信号采集系统设计

为了实现心音信号的高精度采集、实时输出心率参数,设计基于中医闻诊的智能听诊器心音信号采集系统。通过心音传感器采集微弱心音信号后将其传送至音频模块,利用信号放大电路与高、低通滤波电路放大心音信号,通过核心主控芯片TMS320VC5509A扩展外部存储器,并保存放大的心音信号。通过SD模块向上位机发送数据处理指令,数据处理模块通过局部自适应小波阈值函数模型收缩降噪处理心音信号,利用心音信号分析模块分析心音信号所需时域特征参数。通过单自由度模型提取心音包络获取高准确性的心音特征参数,并投放在LCD模块,通过USB模块直接与上位机交互,并在触摸屏模块构建人机接口界面供用户使用。实验结果表明：该系统所采集的心音信号波形特征最明显、波形最完整,且心音信号采集效率高、输出心率参数平均误差低。     

超声信号采集模块的设计

一种超声信号数据采集的模块,完成高频超声信号的高速采集;简单的介绍了该模块的硬件及软件设计;其硬件模块具体包括通过PROTEL软件设计的A/D采样硬件电路,USB系统的连接电路;软件模块包括利用Verilog语言完成FPGA状态机来控制A/D采样,针对具体功能的USB固件初始化程序,以及上位机对USB系统上传数据进行读取以及将所读取到的数据进行的图形显示;实验结果显示可以将采集到的数据高速传输至上位机后进行图形显示分析.     

基于FPGA的线阵CCD实时图像采集系统

设计了一种基于现场可编程逻辑器件的线阵CCD实时图像采集系统。系统采用线阵CCD TCD2252D作为图像传感器,使用CCD专用信号处理芯片AD9826对CCD信号去噪并实现高速A/D转换,同时用USB接口芯片完成CCD数据的传输,最后在上位机显示采集的图像数据。整个系统由基于Verilog的CCD驱动模块、CCD输出信号处理模块、双口RAM缓存模块、USB接口控制模块等组成,结合上位机模块实现对CCD输出图像的准确采集、显示和保存。实验结果表明,该系统能实时采集和显示图像信息,USB传输速度可达28 MB/s,系统实时性好。     

基于USB HID和nRF24L01+的飞行器无线调试系统

为了通过上位机实时采集飞控数据、在线调试飞行器,设计了一种基于 USB HID和nRF24L01+的无线地面调试系统。系统接收飞控数据,并将数据发送到上位机,用于动态显示飞行器状态和后续研究分析;同时系统可以将上位机的控制信号发送给飞控系统,实现在线调试、上位机控制。测试结果表明,该调试系统成本低、实时性好,满足四旋翼飞行器的开发需要。     

基于USB Hub的多参数生理信号检测系统

针对个体化生理参数检测功能的需求,基于USB Hub架构,研制了一种多参数生理信号检测系统.心音、心电等生理信号由传感器采集,经过模块化生理信号检测电路并通过USB总线接口与具有医疗仪器电气安全隔离功能的USB Hub模块连接,然后由USB总线将生理信号传输到PC机,对信号进行实时显示与分析处理.该研究对于实现医疗仪器...     

基于AT89C51单片机和LabVIEW的温度监控系统设计

设计了一种以AT89C51单片机为核心的温度监控系统,系统利用数字温度传感器DS18B20得到温度信号,AT89C51单片机将采集得到的数据经D/A和A/D转换后,经USB2005数据采集卡传递到上位机的USB接口,上位机软件利用LabVIEW软件控制数据采集卡USB2005,并利用其所带的驱动进行数据采集和处理。本系统电路采用模块化设计,温度测量范围随时可调,并利用上位机对测量的温度进行实时显示,可读性好。     

GPS中频信号采集及分析系统设计

设计了一种GPS中频信号采集及分析系统,系统利用FPGA将NJ1006射频前端输出的数字化GPS中频信号进行字节拼接,然后通过USB上传到上位机,实现了射频前端与PC之间实时高速数据传输;研发的VC++数据处理程序将采集到的GPS信号进行文本转换和数据分析。实验证明该GPS中频信号软硬件采集系统不仅能采集GPS中频信号,而且能数据分析,为GPS基带处理算法的研究提供了可靠的原始数据。     

基于STC单片机和LabVIEW的心音信号检测系统

介绍了一种用于身份识别的心音信号采集和处理系统。该系统利用STC12C5A单片机作为核心控制器,通过自带的A/D对经过放大、滤波等预处理后的心音信号进行模数转换,然后通过RS232总线将信号传输到上位机进行处理,在上位机利用LabVIEW设计一套集数据采集、存储、回放和分析于一体的虚拟检测平台。实验结果表明,利用该系统采集三位被测试者60组心音信号,建立WPT+GA-SVM心音身份识别模型,其识别准确率达到了85%。     

基于单片机的数据采集系统设计

基于新型高速单片机C8051F005设计了一种功能齐全、数据处理方式灵活的数据采集系统。该系统通过单片机内部集成的ADC完成信号的采集,采集的数据既可由单片机进行处理并通过图形点阵式液晶显示器进行实时显示,也可通过USB接口芯片PDIUSBD12将采集到的数据传送到PC进行储存和处理,发挥PC机数据处理速度快、存储容量大的优势。整个系统采用USB总线供电,大大简化了系统结构,并降低了成本。该数据采集系统的硬件设计和软件编程得到了详细介绍。     

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.