Large-scale Coronal Heating, Clustering of Coronal Bright Points, and Concentration of Magnetic Flux

By combining quiet-region Fe XII coronal images from SOHO/EIT with magnetograms from NSO/Kitt Peak and from SOHO/MDI, we show that the population of network coronal bright points and the magnetic flux content of the network are both markedly greater under the bright half of the large-scale quiet corona than under the dim half. These results (1) support the view that the heating of the entire corona in quiet regions and coronal holes is driven by fine-scale magnetic activity (microflares, explosive events, spicules) seated low in the magnetic network, and (2) suggest that this large-scale modulation of the magnetic flux and coronal heating is a signature of giant convection cells. This revised version was published online in June 2006 with corrections to the Cover Date.     

面向飞机维修过程的数字支援系统研究

在研究欧盟的民用飞机维修方式研究计划(TATEM)的基础上,分析飞机维修过程的主要因素并建立了飞机维修过程的数学模型。通过模糊数学知识实现对数字支援系统拟采用的技术手段对飞机维修工程促进作用的评价,详细设计了数字支援系统的主要功能模块,并用于指导系统软件的开发。面向飞机维修过程的数字支援系统的研究与开发对于其他复杂设备的维修过程数字化建设有着重要的借鉴意义。     

油液含气量对液压系统的影响

飞机液压系统油液的含气量，空气进入飞机液压系统的形式以及飞机液压系统油液中的空气对飞机液压系统的影响，慢慢被国内外从事液压系统研制人们所重视，在国内，一些大专院校和液压技术研究机构正着手研究液压系统中这些问题。一个好的液压系统，它的抗故障能力是较强的，但是，设计中忽视某些问题，则容易产生这样、那样的故障，甚至使液压系统造成灾难性后果，应引起我们重视。     

Training effectiveness evaluation of helicopter emergency relief based on virtual simulation

Helicopters are playing an increasingly important part in emergency relief, such as earthquake rescue, firefighting and medical transport. With the development of virtual simulation technology, virtual simulation-based training is widely used in the training of the helicopter crew especially for the dangerous and costly missions mentioned above. A complete training effectiveness evaluation method is proposed to evaluate the trainees’ training effect based on virtual simulation in this paper. A key to this method is regarding the complicated process as a discrete event-activity flow system and establishing the evaluation indicator system. Then expert group and Analytical Network Process (ANP) are applied to determine the weight of indicators. When the training data are processed, there is a novel attempt to apply Fuzzy Comprehensive Evaluation (FCE) model to calculate the two categories of indicators. Eventually, an experiment and the analysis were carried out to validate the evaluation method.     

Cutting the bread

Why the draft Treaty on the Prevention of the Placement of Weapons in Outer Space, the Threat or Use of Force Against Outer Space Objects (PPWT) will not work - whereas the Code of Conduct for Outer Space Activities may.     

试析马克思理论体系的两个思想资源

除了常说的三大理论来源以外,马克思的理论体系的形成还有很多丰富的思想资源,其中,基督教和《圣经》传统、古希腊神话和西方文学作品对马克思科学世界观、人生观、价值观的形成产生了深刻影响,马克思对他们采取了批判的借鉴的态度,从中汲取了丰富的营养,成为马克思理论体系重要的思想资源。     

民航卫星通信网可视通信图像压缩编码方法研究

对民航卫星通信网进行可视通信图像压缩编码方法进行了研究。通过在多媒体计算机上进行模拟实验表明，将视频信息及语音信息压缩为64kbps通过TES卫星网传输方案是可行的。     

电长度测量方法探究

从电长度的概念出发，主要介绍了使用网络分析仪来实现电长度测量的三种方法，分别是频域电延迟法、时域反射法和时域传输法；针对三种不同方法分别做了试验。     

基于分布式管理架构的应用型网管系统的设计与研究

根据当前IT应用的普及情况,分析了大中型企业中网络资源管理存在的问题,研究了网管软件的相关技术并设计了一套符合当前应用需求的分布式管理架构的应用型网管系统。该系统不但可监测各类操作系统的性能,还可对数据库、WEB服务等应用服务器的性能进行监控。结合网管软件的发展动态,展示了该应用型网管系统的工程应用价值。     

An artificial neural network approach for aerodynamic performance retention in airframe noise reduction design of a 3D swept wing model

With the progress of high-bypass turbofan and the innovation of silencing nacelle in engine noise reduction, airframe noise has now become another important sound source besides the engine noise. Thus, reducing airframe noise makes a great contribution to the overall noise reduction of a civil aircraft. However, reducing airframe noise often leads to aerodynamic perfor-mance loss in the meantime. In this case, an approach based on artificial neural network is intro-duced. An established database serves as a basis and the training sample of a back propagation (BP) artificial neural network, which uses confidence coefficient reasoning method for optimization later on. Then the most satisfactory configuration is selected for validating computations through the trained BP network. On the basis of the artificial neural network approach, an optimization pro-cess of slat cove filler (SCF) for high lift devices (HLD) on the Trap Wing is presented. Aerody-namic performance of both the baseline and optimized configurations is investigated through unsteady detached eddy simulations (DES), and a hybrid method, which combines unsteady DES method with acoustic analogy theory, is employed to validate the noise reduction effect. The numerical results indicate not merely a significant airframe noise reduction effect but also excel-lent aerodynamic performance retention simultaneously.