Dynamic Characteristics of Inter-Satellite Links in LEO Networks

To establish an efficient inter-satellite link (ISL) in an LEO network, the effect of geometric characteristics of ISL on the ISLs and the devices on the LEO satellite should be examined. Because of the continuous movement of the LEO satellite, the time-varying behaviours of the ISL's geometric charactersistics continuously change with the changes of the satellite's position on the orbit. These dynamic geometric characteristics of the ISLs are important for ISL's performance analyzing and the design of the devices on the LEO satellite. This paper describes dynamic geometric characteristics of ISL, analyzes the impact of these regulations on the tracking system of the satellite's antenna and the power adjusting system of the satellite's transmitter, with the Iridium system as an example.     

Radar Imaging Based on Iterative Algorithms

It has long been realized that the problem of radar imaging is a special case of image reconstruction in which the data are incomplete and noisy. In other fields, iterative reconstruction algorithms have been used successfully to improve the image quality. This paper studies the application of iterative algorithms in radar imaging. A discrete model is first derived, and the iterative algorithms are then adapted to radar imaging. Although such algorithms are usually time consuming, this paper shows that, if the algorithms are appropriately simplified, it is possible to realize them even in real time. The efficiency of iterative algorithms is shown through computer simulations.     

Face Recognition Based on Support Vector Machine and Nearest Neighbor Classifier

Support vector machine (SVM), as a novel approach in pattern recognition, has demonstrated a success in face detection and face recognition. In this paper, a face recognition approach based on the SVM classifier with the nearest neighbor classifier (NNC) is proposed. The principal component analysis (PCA) is used to reduce the dimension and extract features. Then one-against-all stratedy is used to train the SVM classifiers. At the testing stage, we propose an al-     

心理学和教育学课堂教学艺术漫谈

教学是一门科学，也是一门艺术，是实现全面发展教育的根本途径；心理学和教育学是师范院校两门公共必修课；如何提高两课的教学质量，关系到学生教育心理学素养的形成，本文试从笔者的教学体会谈谈两课的课堂教学艺术。     

钨酸铜的生成及其氢还原过程的研究

本文提出一种生产微细钨铜复合粉的方法。将WO_3(或蓝钨)和CuO均匀混合,在空气中焙烧生成CuWO_4,再在氢气中还原,就能制得微细钨铜复合粉,其钨、铜两相分布均匀,钨颗粒细小且分布狭窄。本文详细地研究了钨酸铜的生成及其氢还原过程,与WO_3相比,发现两者的还原相变过程及动力学过程有某些差异。     

板坯结晶器钢水凝固的数值模拟

以实测结晶器铜板温度计算的热流量作边界条件,采用有限元方法,建立了结晶器内凝固传热方程.对凝固传热方程进行了离散化,利用ANSYS商业软件进行求解,得到凝固坯壳的应力、应变情况,从而确定连铸结晶器壁的合理锥度.     

经济合作与发展组织2007年专利统计报告(Ⅰ)

该统计报告通过多个专利指标反映了 OECD 成员国与非成员国创新活动的近期趋势。报告主要由七个部分构成:三方同族专利,国家、地区、国际层次上的专利申请,部分技术领域专利,机构专利,地区专利.发明活动的国际合作、科学与技术的关系.     

化学配比对TiAl有序合金微观组织和变形特性的影响

本研究用三点弯曲实验测定了铝含量为43at·％～56at·％的Ti-Al二元合金的力学性能;利用光学显微镜、X射线衍射仪和透射电子显微镜研究了不同成分合金的微观组织和变形亚结构。实验结果表明:根据不同成分合金的微观组织可将其分成三类,即:γ-TiAl单相组织(52at·％～56at·％Al);双态组织(46at·％～50at·％Al)和全片层结构晶粒组织(43at·％～46at·％Al),其中以具有细晶双态组织的合金具有较好的塑性变形能力。本文从微观组织结构和变形位错组态的变化,探讨了合金成分对TiAl基有序合金塑性变形的影响机制。     

PP K-MEAN CLUSTERING

In this paper, we propose a dimension-reducing, K-mean clustering procedureby Projection Pursuit (PP) technique so as to explore the clustering structure of data inhigh-dimensional space in terms of low-dimensional projective points of data, and we obtainthe a.s. consistence of the estimates of the cluster centers and projection orientations.     

A New Discipline of Science-The Study of Open Complex Giant System and Its Methodology

This paper introduces the conception of open complex giant system and the methodology for dealing with the system, with stress on its profound significance in development of science and technology. The authors conclude that the reductionism underlying the exact science is not suitable to open complex giant system, and the only feasible alternative is the meta-synthetic engineering from the qualitative to the quantitative.