基于AT89S52的SO2浓度检测仪

以AT89S52为核心,利用电化学SO2传感器,完成了对SO2浓度的智能检测,实现了计算机智能化处理.本设计完成了SO2浓度智能检测仪的硬件设计和软件编写,实现了SO2的实时在线检测,并对实验结果进行分析.本检测仪测量准确、工作可靠,能够广泛应用于工矿企业和大气的SO2浓度检测.     

基于相关滤波技术的SO2气体浓度监测系统设计

介绍一种基于相关滤波技术的非分散红外SO2气体浓度测量方法.该方法是在相关运算原理和SO2红外吸收特性基础上,结合相关检测和气体滤波技术,有效解决了近年来空气中SO2污染严重且在非分散红外SO2检测系统中噪声干扰大的问题,实现了对微弱光信号的调制和检测,并实现了新型SO2浓度监测仪的设计.试验表明,系统有10(-6)的检测灵敏度.     

硫酸装置二氧化硫分析仪采样系统的改进

宝钢硫酸装置的原理是以脱硫装置所产生的酸性气体为原料,经过一系列工艺工序的硫酸吸收生成浓硫酸。为了达到高生产率,需要提高SO2变为SO3的转换率,为此需要准确测量SO2气体浓度,通过此浓度配置相应的氧气。分析了原有装置存在的缺点后,给出了改进后装置的工作原理和工作程序,并实现了自动吹扫、自动标定和自动气候调节等诸多功能。此装置的成功实践,具有较大的推广价值。     

用于火灾探测的非色散红外吸收气体传感器

基于朗伯—比尔吸收定律建立了便携式非色散红外气体传感体系，并成功的应用于火灾现场生成气体的实时检测。该体系利用直接电调制的红外辐射源、窄带薄膜干涉滤光片和高灵敏度的TGS热释电红外探测器，很大程度地降低了系统的成本和体积，提高了探测灵敏度。通过对CO、CO2、NH3和SO2四种火灾现场燃烧生成气体在不同浓度状态下的测量，证明系统对所测气体可以达到了几十个微量级的探测极限，响应时间均小于20s，具有较好的稳定性，能够满足一定的测量要求。     

近海浅层气甲烷浓度原位在线监测方法与仪器研究

近海浅层气实时原位在线监测对海洋建设工程的安全施工至关重要。文章提出了一种基于薄膜界面检测的近海浅层气甲烷浓度实时原位在线监测方法并进行了仪器研究。设计的近海浅层气检测探头实现了浅层气与沉积物的分离、甲烷气体浓度的检测、测量数据传输至监测数据汇集节点。仪器的信号汇集节点将接收的测量数据无线发射到上位机的接收电路,上位机实现测量数据的处理、记录和存储。搭建的模拟沉积物试验装置利用一系列不同标准浓度的甲烷气体对所设计的气体探头进行了验证,测量结果的绝对误差均在-0.1%以内,实验结果表明设计的仪器具有优良的性能。最后选取了实际测量点完成了现场实时测量,实现了气体检测探头一次贯入海底、区域化、原位和在线浅层气中甲烷浓度有效监测。     

高湿环境下丁酮气体检测实现方法研究

针对吸油烟机气味降低度实验中,丁酮气体检测环境相对湿度较高的特点,研究了利用金属氧化物半导体气体传感器,在高湿环境下检测丁酮气体的实现方法。介绍了采用干燥剂除湿和混合纯净干燥空气除湿2种方法来降低待测气体样本的相对湿度。实验结果表明:干燥剂除湿方法会对丁酮质量分数测试结果造成较大的影响;而混合干燥空气除湿方法能够显著降低气体相对湿度,实现高湿环境下丁酮气体质量分数准确检测。所研发的系统可满足吸油烟机气味降低度实验要求。     

碱性品红薄膜光波导传感元件检测二氧化硫气体的研究

该文利用碱性品红薄膜作为光波导传感元件的敏感层,研制出了一种玻璃光波导酸性气体传感元件,将该元件固定在光波导气体检测系统,检测了SO2气体.该气体传感元件能够检测浓度为5×10-7(体积分数)的SO2气体,其响应和恢复时间分别为3s和8s,相同浓度的其它酸性气体对检测SO2气体干扰较小.该传感元件具有响应快、可逆性好、容易制备等特点.     

时间双光路SO_2荧光检测法的研究

烟气中SO2气体体积分数的检测一直是人们关心的热点问题,在深入分析SO2的荧光检测机理的基础上,提出了一种新型的时间双光路SO2荧光检测方法,通过对2个滤光片交替工作得出的荧光信号进行加权处理,解决了单光路测量中存在交叉敏感和背景噪声的问题。     

基于动物模型研究的气体实验系统的设计

针对环境电SO2浓度与哮喘发病关系的动物模型研究,设计了可以模拟含有特定SO2浓度的气体环境的实验系统.通过以单片机C8051F310为核心,构建了气路流体系统、传感检测系统和智能控制系统,实现了SO2浓度在密闭环境中的智能化控制.实验系统能够模拟SO2浓度为0～28.56 μg/L的大气环境,在长期的实验中表现出良好...     

浅层气中甲烷浓度原位检测装置的研究与设计

为实现浅层气中甲烷浓度的原位检测,本文研究设计了一种基于防水透气膜技术和非色散红外气体检测技术的浅层气甲烷浓度原位检测装置。研究选用孔径小于50 的多孔陶瓷及PTFE材料的防水透气膜构成泥水气分离结构,实现对环境浅层气的提取。通过对非色散红外气体检测技术的理论分析,建立了甲烷传感器的浓度检测模型,并采用卡尔曼滤波进行数据处理。在搭建的模拟高水压实验平台上进行装置的防水消压实验,结果证明,在高压环境下装置仍旧具有较好的防水性能。根据模拟实验与实地浅层气探测实验的数据记录分析表明该装置甲烷浓度检测误差小于1%,响应时间小于40s,具有防水、稳定、精确的优点,适用于浅层气中甲烷浓度的原位检测,满足相关研究工作的需要。     

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.