矢量图形智能判断技术的研究与应用

研究矢量图形识别是建立工程制图自动阅卷与计算机辅助教学系统的基础。由于组成二维矢量图形图元类型的多样化及图形整体位置状态的不确定性，增加了矢量图形的识别与判断难度。结合开发的《三视图智能解答》系统，研究其智能识别与判断技术。系统中引入三视图导航技术，解决了图形整体定位与识别问题。实现了对矢量图形图元素信息的分类和提取，能够对所提取的的信息与标准答案进行智能判断与评定。该方法已在AutoCAD2000环境下使用AutoLISP语言编程实现。     

有色冶金中的离子交换膜电解技术

离子膜电解技术在有色冶金工业中有重要的应用价值 ,膜的选择透过性和不同的电极过程相结合可完成各种冶金过程。综述了离子交换膜电解技术在高纯金属的制备、无机物的电化合成、多价离子氧化状态的控制及金属离子的分离等冶金领域的研究现状 ,分析了该技术的特点 ,并指出了该技术要实现工业化必须解决的主要问题     

察尔汗盐湖镁资源的开发及展望

察尔汗盐湖不仅具有丰富的镁资源，而且具有开发盐湖的能源，政策优势，由脱水氯化镁可制得多种镁产品。氯化镁脱水技术，氯化镁制金属镁技术是综合开发盐湖水镁资源的关键技术，将纳米技术应用于盐湖镁资源的开发，使镁产品高值化，精细化，将是察尔汗盐湖镁资源的开发方向。     

清梳联纺长绒棉特细号纱应用技术探讨

介绍了清梳联的技术特点，对清梳联纺长绒棉特细号纱的实际应用问题进行了工艺试验及探讨，论证了清梳联纺长绒棉的可行性及取得的效益。     

探析新时代背景下中国家具设计的走向

本文阐述了我国前一时期家具行业存在的弊端,分析了我国家具业弊端的缘由及解决的方法,提出了中国家具业要告别依靠高投入、粗放式外延扩张来实现产业增长的方式。论述了今后的增长将主要依靠技术进步来实现,首先要更新设计理念,走出有中国特色的家具业之路,对中国现代家具设计方法、设计元素、设计观点进行了详细的论述并对未来中国家具业的进行展望。     

图像置乱效果评价算法综述

图像置乱技术通过对图像矩阵的重排操作,破坏图像矩阵的相关性,从而实现信息加密。图像置乱效果评价方法是对图像置乱程度的客观评价,目前涌现的图像置乱方法都从各个方面验证其自身的优越性,但仍没有一种通用的评判方法。该文根据最优置乱效果的定义,讨论了一些现有的图像置乱效果评判方法,在深入研究这些方法的原理后,对各置乱性能评判方法的客观性进行了深入分析和讨论。     

Localized relaxation theory of circuits and its applications in electro-thermal analyses

In the high-performance IC design with increasing design complexity,it is a very important design content to efficiently analyze IC parameters.Thus,the electro-thermal (ET) analyses including power/ground (P/G) analysis and thermal analysis are hot topics in today’s IC research.Since ET analysis equation has a sparse,positive definite and strictly diagonally dominant coefficient-matrix,we prove that the ET analysis has the advantage of locality.Owing to this advantage,localized relaxation method is formally proposed,which has the same accuracy as the global relaxation done with the constraint of the same truncation error limitation.Based on the localized relaxation theory,an efficient and practical localized successive over-relaxation algorithm (LSOR2) is introduced and applied to solve the following three ET analysis problems.(1) Single-node statistical voltage analysis for over-IR-drop nodes in P/G networks;(2) single-node statistical temperature analysis for hot spots in 3D thermal analysis;(3) fast single open-defect analysis for P/G networks.A large amount of experimental data demonstrates that compared with the global successive over-relaxation (SOR) algorithm,LSOR2 can speed up 1-2 orders of magnitudes with the same accuracy in ET analyses.     

Personalized course generation and evolution based on genetic algorithms

Online learners are individuals,and their learning abilities,knowledge,and learning performance differ substantially and are ever changing.These individual characteristics pose considerable challenges to online learning courses.In this paper,we propose an online course generation and evolution approach based on genetic algorithms to provide personalized learning.The courses generated consider not only the difficulty level of a concept and the time spent by an individual learner on the concept,but also the changing learning performance of the individual learner during the learning process.We present a layered topological sort algorithm,which converges towards an optimal solution while considering multiple objectives.Our general approach makes use of the stochastic convergence of genetic algorithms.Experimental results show that the proposed algorithm is superior to the free browsing learning mode typically enabled by online learning environments because of the precise selection of learning content relevant to the individual learner,which results in good learning performance.     

跳数加权DV-Hop定位算法

针对DV-Hop定位算法中距离估计误差对定位结果的影响,提出了一种信标节点优选方案和跳数加权DV-Hop定位算法。首先通过设定跳数阈值,保留跳数较少的信标节点,然后剔除近似在一条直线上的信标节点,完成信标节点优选,避免未知节点无法定位的情形。此外,利用Friis模型推导出距离估计误差与信号传播跳数之间的映射关系,采用传播跳数作为加权因子对定位结果进行了修正。仿真结果表明该算法降低了距离估计误差对定位精度的影响,提高了定位精度。