稀土Nd掺杂纳米SnO_2薄膜气敏特性

用真空气相沉积法在玻璃衬底上制备纯SnO2和掺稀土Nd的SnO2薄膜,在500℃氧气气氛条件下进行45min热处理,获得良好的纳米SnO2薄膜和掺稀土Nd的SnO2薄膜。结果显示掺Nd和热处理使纳米SnO2薄膜的结构、导电性能得到一定的改善。掺Nd5%的SnO2薄膜对气体的选择性和灵敏性均得到明显的改善,其中,对丁烷的选择性、灵敏度最好,在体积分数为7.2×10-3时,灵敏度可达到340,但对乙醇、丙酮气体的敏感性较差。     

稀土Nd掺杂纳米ZnO薄膜气敏特性

研究了用真空气相沉积法在玻璃衬底上制备掺稀土Nd的ZnO薄膜的气敏特性,实验给出,经温度为500℃,时间为45min的氧化、热处理的掺Nd的ZnO薄膜的晶粒尺寸、结构特性均发生变化。随掺Nd质量分数的增大,薄膜的晶粒尺寸从53nm减小至20nm。经掺Nd(质量分数为4.96×10-2)后纳米ZnO薄膜对乙醇气体的选择性和灵敏性均得到明显的改善。在1.5×10-3体积分数的乙醇气体中最高灵敏度为34,相应的薄膜工作温度为200℃。     

CeO2掺杂对ZnO薄膜气敏特性的影响

ZnO薄膜进行CeO2掺杂,研究掺杂含量和热氧化对薄膜结构、表面、晶粒尺寸及气敏特性的影响.结果显示,用热蒸发制备的高纯Zn膜经500℃热氧化,获得c轴取向ZnO多晶薄膜.掺CeO2可抑制晶粒生长使颗粒细化平均粒径减小,同时改善了ZnO薄膜的体相化学计量比,Zn与O的比例从未掺杂时1∶1.28降到1∶1.191.XPS...     

稀土La掺杂SnO_2薄膜气敏特性

用真空热蒸发两步法在玻璃衬底制备SnO2和La掺杂SnO2薄膜。研究氧化、热处理工艺和La掺杂含量对SnO2薄膜结构、气敏特性的影响。结果显示:经T=550℃,t=45 min氧化、热处理后,得到n型金红石结构SnO2薄膜。适当掺La可改善SnO2薄膜结晶状况,掺La后SnO2薄膜对气体的选择性和灵敏性均得到明显的改善,在气体体积分数为1×10-2时,掺La(5%)的SnO2薄膜对乙醇的灵敏度为12;掺La(3%)的SnO薄膜对丙酮的灵敏度可达到14。     

溅射气压对ZnO:Al透明导电薄膜性能影响

采用射频磁控溅射技术,在康宁玻璃衬底上制备了从0.12Pa到1.0Pa共计5个不同溅射气压系列的ZnO:Al(AZO)薄膜样品,通过紫外-可见光谱仪、四探针、台阶仪等测试手段研究了薄膜的晶体结构、光学和电学性能,结果表明,溅射气压对薄膜的结晶质量、光学和电学性能影响较大,在0.12Pa气压条件下制备的薄膜具有最优的光电特性。     

氩氧比对ZnO薄膜特性的影响与紫外探测器的研制

利用射频磁控溅射技术在SiO2／n—Si和玻璃衬底上制备ZnO薄膜,研究了溅射气体氩氧比对薄膜特性的影响,在氩氧比为2：3下所制备的ZnO薄膜c轴择优取向相对较好,薄膜的颗粒随氩氧比的增加而增大,所制备的薄膜在可见光均具有较高的透射率,吸收边在360-380nm附近;并在以SiO。／n—Si为衬底,氩氧比为2：3,经过退火处理的ZnO薄膜上制作Ag-ZnO—Ag肖特基MSM叉指结构的紫外探测器,所制作的探测器在5V偏压下漏电流为3．3×10^-8A,在紫外波段有较高的响应度,光响应度峰值在365nm附近。     

射频溅射—热处理法研制SnO2薄膜

本文比较详细地研究射频溅射Sn膜—热处理氧化制备SnO_2薄膜的工艺因素对薄膜结构的影响,得到了采用该新工艺制备SnO_2薄膜的最佳条件:首先采用350W×0.10Pa×20min的射频溅射工艺制备 β-Sn膜;然后采用在550～650℃温度条件下保温2～3h的热处理工艺制备出SnO_2薄膜。X-射线衍射实验结果表明,在该工艺条件下可以得到非常细小均匀的纳米级SnO_2晶体结构,为薄膜型SnO_2气敏元件新工艺研究提供了基础性资料。     

氧化锌纳米棒/单晶硅的酒精传感器研究

首先采用射频溅射在单晶硅(Si)上制备氧化锌(ZnO)薄膜,作为生长ZnO纳米棒的晶种层,再在水热条件下生长ZnO纳米棒.X射线衍射、X射线能量色散谱,扫描电镜及室温光致发光谱对样品的物相结构、成分、表面微观形貌和晶体缺陷进行了表征.结果表明合成的ZnO纳米棒是六方纤锌矿结构,长径比较高,结晶良好.研究了ZnO纳米棒/单晶Si传感器在空气和酒精气体中的电压-电流(Ⅰ-Ⅴ)特性,阻抗谱及响应-恢复时间.该传感器在+6 V的偏置电压下,其电阻在0.08 g/L酒精气体中下降71%,响应时间小于1 min,可以作为一种新型的酒精气体传感器.     

基于纳米ZnO-壳聚糖-酪氨酸酶生物传感器对邻苯二酚的测定

以Zn(Ac)2和N,N-二甲基甲酰胺为原料,采用水热合成法在160℃下合成出了纳米ZnO,并用X-射线衍射、透射电镜表征了所制备纳米ZnO的结构,同时以制备的纳米ZnO固定酪氨酸酶制备了多酚生物传感器,结果表明高等电点的纳米ZnO在很大程度上促进了酪氨酸酶与电极之间的直接电子传递,能够有效地用于多酚的测定.     

La掺杂ZnO和SnO2薄膜的气敏特性

真空蒸发沉积薄膜再经热氧化获得n型掺La的ZnO和SnO2薄膜(玻璃衬底)研究掺La含量与热氧化工艺对薄膜的物相结构、表面形貌和气敏特性的影响.实验给出:掺La使薄膜表面颗粒细化,随La含量增加,ZnO,SnO2薄膜平均晶粒尺寸均增大.掺La可明显降低2种薄膜的气敏工作温度相比之下,掺La对ZnO薄膜的灵敏度改善明显优...     

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.