Public Attitudes Towards Space Science

Astronomy and space science, including their associated basic research activities, enjoy broad popular backing. People generally support them, and say that they follow their results with interest. This article summarizes some of the detailed results of public surveys in the United States, focusing on popular opinions and attitudes, and the somewhat paradoxical finding that despite being interested and supportive, people are often ignorant about the basic facts. I explore some of the reasons for the popularity of space science, and suggest ways of justifying space science research in the broader context of science research. I argue that vigorous and innovative education and outreach programs are important, and can be made even more effective. This revised version was published online in June 2006 with corrections to the Cover Date.     

The role of AVDR in linear cascade testing

Linear cascade testing plays an important role in the research and development of turbomachinery and is widely used over the world.The ideal cascade model of a turbomachinery blade row is two-dimensional.In actual linear cascade testing, the flow through the test section converges due to the development of the boundary layer and secondary flow along the sidewall surfaces of the test section.Axial velocity density ratio(AVDR) is adopted to account for the deviation of the tested cascade flow from the ideal 2D model.Among numerous published cascade works, the influence of AVDR on cascade performance is seen to be complicated with many affecting factors, such as those related to cascade/blade geometry and flow conditions.Also, controlling AVDR is limited by the facility capability.Furthermore, real blade-to-blade flow in turbomachines is usually associated with AVDR greater than unity due to limited span of blades between the hub and shroud such that cascade testing without reducing AVDR could be favored sometimes.All these facets add complexity and diversification to the matter.The current paper reviews previous studies and results on AVDR.Consolidated understanding on the role of AVDR and recommendations on how to deal with it in linear cascade testing are provided.      

AutoCAD环境下图形参数化实现方法研究

在ＡｕｔｏＣＡＤ图形环境下,基于对图形理解的策略,通过数据库中图形实体数据的分析和图形之间约束关系的推理,判断其中图形实体和尺寸实体的关系,并参照机械制图的隐含约束关系,建立图形和尺寸之间的联系,最后基于约束联系,生成ＡｕｔｏＬＩＳＰ参数化绘图程序,避免了人工编程,由此实现了图形的参数化,提高了绘图效率和ＣＡＤ技术的应用水平。     

民机预先研究的思考和认识

为贯彻执行公司领导有关推进自主创新和加强预先研究的精神,概括了有关民机预先研究的粗浅思考和认识,为摸清民机技术家底,梳理民机关键技术,编制预研发展规划,加强民机预先研究,实现民机研发体系,在此起到抛砖引玉之功效。     

中国特色社会主义理论体系的三维解读

中国特色社会主义理论体系,从发生学的角度看,是党的领导主体的思维创新过程;从事实判断的角度看,是以改革开放为鲜明特征的中国社会主义建设实践的理论升华过程;从价值诉求的角度看,是实现中华民族繁荣富强、共同富裕的伟大复兴过程     

基于条件随机场的遥感图像语义标注

遥感图像包含的信息丰富,纹理复杂,而遥感图像语义标注又为后续的目标识别、检测、场景分析及高层语义的提取提供了重要信息和线索,这使其成为遥感图像理解领域中一个关键且极具挑战性的任务。首先针对遥感图像语义标注问题,提出采用条件随机场(CRF)框架对遥感图像的底层特征和上下文信息建模的方法,将Texton纹理特征与CRF中的自相关势能结合来捕捉遥感图像中的纹理信息及其上下文分布,采用组合Boosting算法进行Texton纹理特征选择和参数学习;然后将Lab空间中的颜色信息与CRF中的互相关势能结合来描述颜色上下文;最后用Graph Cut算法对CRF进行推导求解,得到图像自动语义标注结果。同时,建立了可见光遥感图像数据库Google-4,并对全部图像进行了人工标注。Google-4上的实验结果表明:采用CRF框架与Texton纹理特征和颜色特征相结合对遥感图像建模的方法与基于支持向量机(SVM)的方法相比较,能够取得更准确的语义标注结果。     

一个确定汉语句子主干的递归模型

汉语句子主干识别对于整个句子的语义理解起着重要的作用,汉语语义分析在确定一个多动词句子的句子主干等方面有一定的困难.提出了句子的完整语义性概念,通过对语义完整性在句子中的具体表现形式--语义完整块的介绍,分析了句子的完整语义性的特点,尝试利用语义完整性在汉语的多动词句中找出句子的主干,并提供一个递归算法加以描述,并据此建立了一个基于语义完整性的递归模型.     

论会话含意的理解过程

根据会话语言特点，从关联理论角度，分析会话含意的理解过程，发现它实际上是听话者通过认知语境，将接收话语建立的新的假设进行关联、激活、选择、推理并获取会话含意的过程。对言语的理解离不开语境、语境制约着言语的选择和运用，二者密不可分。     

基于图像骨架和贪婪算法的无人机航路规划

针对无人机在执行低空突防任务时最大生存概率以及自身飞行约束的要求,对传统的人工势场法进行改进,提出基于图像骨架和贪婪算法的航路规划方法.对可飞区域提取图像骨架生成赋权图,采用Dijkstra方法搜索最小代价路径实现航路初规划;提出了曲率可控的贪婪算法对初规划结果进行优化,使最终的路径同时满足最小转弯半径和最短航程的要求.仿真结果表明该方法是一种有效的航路规划方法.     

自然语言驱动的智能工作流引擎设计与实现

提出了一种由自然语言驱动的智能工作流引擎,重点讨论了该引擎的模型设计与实现技术.通过对自然语言的理解来分析工作流的流向,从而代替机械的规则和人工的干预,使工作流的运转更符合日常的办公方式,提高了工作流系统的智能性、实用性和可扩展性.本系统在试运行期间效果良好,证实了系统的可行性.