对提高施工中光缆接续质量的探讨

通过分析影响光缆接续质量的因素，从减少本征影响、克服技术因素、优化综合处置、减弱和避开环境影响4方面针对性地提出了实际施工中应采取的施工方法，以控制和减小不利影响，提高光缆工程的接续质量，为建设高质量传输线路提供有力保证。     

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.     

大型喷浆机器人的灵巧度分析

灵巧度是衡量机器人运动失真程度的重要参数。对机器人灵巧度评价指标进行了对比研究 ,结合大型喷浆机器人自由度较多的特点 ,用雅可比矩阵的条件数对喷浆机器人的灵巧度进行了分析。结果表明 ,大型喷浆机器人在不同形位下的条件数都很小 ,具有较好的运动灵巧度。     

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-     

非水溶剂中难溶盐溶度积的理论计算

该文根据以静电作用、取向作用、诱导作用和色散作用为基础的分子间相互作用力,对AgCl、AgBr、AgI、AgN_3、AgSCN及AgAc等6种难溶盐在MeOH、EtOH、MeCN、DMF、DMAC、DMSO和HCONH_2等7种非水溶剂中的离解平衡常数K_(SP)进行了理论计算,计算结果与文献值吻合较好。     

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.     

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.