基于交直流分离的反射式血氧饱和度测量系统的设计

肝储备功能是评价肝脏正常生理活动的重要依据,动脉血氧饱和度是肝储备功能测量的重要中间变量,针对长时间连续无创血氧饱和度测量的要求,提出基于交直流分离的反射式血氧测量系统的设计方案。通过测量手指、耳尖等皮肤薄弱部位的反射式光电容积脉搏波,利用交直流信号分离处理技术,基于动脉血氧饱和度经验测量公式,实现长时间无创动脉血氧饱和度测量。交直流分离技术的使用能够有效的降低系统干扰和噪声的影响,优化血氧饱和度测量结果;经临床医疗对比实验检测,证明系统误差符合实际测量要求。     

AQ6370D光谱分析仪 横河电机(中国)有限公司

正YOKOGAWA的AQ6370D光谱分析仪操作简单、维护方便,利用衍射光栅对光谱进行测量,波长范围覆盖600~1700nm,波长分辨率在0.02~2.0nm之间,最小接收灵敏度为-90dBm,并可依靠横河特有技术在0.2s内完成对100nm的扫描。AQ6370D为AQ6370C的升级型号,针对目前一些新的测试需要增加以下测量分析功能:     

基于荧光发射光谱的活体海藻识别方法研究

海藻是由多种色素组成的海洋生物,这些色素包括叶绿素a、叶绿素b、叶绿素c、类胡萝卜素、藻红蛋白等色素.用荧光分析方法进行海藻识别,需要确定的特征激发波长.根据有关文献和实验研究[1～4],确定出440 nm、460 nm、470 nm、530 nm、560 nm为叶绿素a、叶绿素c、叶绿素b、类胡萝卜素、藻胆色素特征技法波长.通过对小球藻、盐藻、扁藻、小新月藻、角毛藻的荧光光谱实验研究,发现用同一海藻470 nm、 530 nm、 560 nm激发光下的荧光发射光谱,进行比值光谱分析可得到含叶绿素b、叶绿素c海藻明显的区别特征,从而为海藻活体识别进行了有意义的尝试.     

美国理想推出全新FiberMASTER^TM光功率计

美国理想工业公司（IDEAL INDUSTRIES,INC．,以下简称美国理想）近日推出了F1berMASTER光功率计,可测量多波长绝对光功率值与衰减值。F1berMASTER光功率计可测量多模和单模光纤,测量的波长包括850nm、1310nm、1490nm及1550nm,是认证和排除各种类型光缆故障的专业工具。用户可利用其dB校准功能,对光源设置参考电平,     

一种基于ADI系列芯片的无创血氧监测方法

给出了一种无创血氧监测系统实现方法。该系统采用ADμC7026产生周期脉冲信号控制驱动电路驱动两个不同工作波长的发光二极管(波长分别为660nm和940nm)分时发光,由作为跨导放大器的AD8606将接收到的透射光耦合电流信号转换为电压信号,并经进一步放大后,由ADμC7026内部集成的ADC完成数据采集。通过计算两种波长的吸光度比值R,进而确定人体的血氧饱和度。实验表明,该系统的无创血氧饱和度监测效果良好。     

紫外荧光测二氧化硫浓度系统研究

利用二氧化硫的多波长受激发的光学现象,设计双光源多波长激发紫外荧光法的二氧化硫浓度测量系统.阐述了多波长激发紫外荧光的原理和双光路补偿方法,与单色光激发荧光测量方法相比较,具有灵敏度高、分辨力强的特点.通过分别对流量为250 mL/min、500 mL/min含量二氧化硫样本气体,应用两种方法实测、验证了结论的正确性,并给出了新方法的实验数据和曲线.利用嵌入式系统和Internet,设计了实现网络化监测系统达到了远程监测目的.     

工业甲基萘中喹啉和吲哚的研究

以工业甲基萘为原料,提取β-甲基萘、α-甲基萘的过程中,需要首先脱除喹啉、异喹啉,同时尽量避免吲哚损失。考察了不同酸类型、酸浓度、酸过量系数、反应时间及反应温度等主要因素对喹啉、异喹啉脱除率和吲哚保留率的影响情况。结果表明,硫酸是最合适的酸洗剂;在适宜的工艺条件下使用硫酸作为酸洗剂,可以将工业甲基萘中绝大部分的喹啉、异喹啉去除,脱除率大于98%,且吲哚保留率大于95%,洗涤后的工业甲基萘中喹啉含量低于0.2%。     

单光纤光栅实现位移、温度同时区分测量

结合光纤光栅悬臂梁调谐的特点,采用悬臂梁矩形梁结构,将光纤光栅粘贴在悬臂梁侧面,利用反射波的带宽对应变敏感而对温度不敏感的特性解调悬臂梁自由端的垂直位移,和反射波的中心波长对温度敏感而对应变不敏感的特性解调温度,成功地实现了对位移和温度的同时测量.基于光谱分析仪0.1 nm的光谱分辨率,实验可得到位移、温度同时区分测量系统的带宽随位移变化的灵敏度为0.153 nm/mm,位移分辨率为0.193 mm,位移测量范围可达6.15 mm;中心波长随温度变化的灵敏度为0.029 nm/℃,温度分辨率为3.4℃,温度测量范围为45℃.实验结果与理论分析基本一致.     

基于荧光图像的水华微囊藻浓度检测

通过荧光光谱仪分析了水华微囊藻叶绿素a的荧光激发特性,利用图像处理技术,提出了基于藻类荧光激发效应的水华微囊藻浓度自动检测方法.利用430 nm荧光作为激发光源,得到波长为680nm的水华微囊藻荧光显微图像,利用红色滤光片去除其它入射光的影响,使图像中只包含水华微囊藻荧光特性;对得到的荧光图像进行灰度化、二值化、滤波,进行计数以及藻液浓度测量.实验证明:此方法能够很好地区分藻类和杂质,浓度测量结果精准,计算速度快,为藻类细胞浓度检测提供了一种新的便捷方法.     

STM32的无创连续血压测量系统设计

针对目前临床对血压的连续测量主要采用有创的方法,本文设计通过脉搏波传导时间(PWTT,Pulse Wave Transmit Time)实现无创连续测量血压的系统.该系统通过采集光电容积脉搏波(PPG)信号和心电(ECG)信号,利用STM32控制芯片将两者信号融合,再通过算法求出特征点,拟合方程求出个体的血压.通过此方法有效实现了无创连续的血压测量.     

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.