掺矿渣微粉和粉煤灰的水泥胶砂性能试验研究

 根据正交设计法,利用L24(61×41×23)正交表安排试验,探讨了混合材掺 量、矿渣微粉与粉煤灰的比例、矿渣微粉细度、粉煤灰品种对水泥胶砂流动度、7,28,90 d 龄期的抗压强度的影响,初步确定水泥熟料、矿渣微粉、粉煤灰三元体系的较优组合。结果 表明,粉煤灰与矿渣微粉双掺比单掺矿渣微粉或单掺粉煤灰的水泥胶砂,具有一定的优势。     

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。     

基于Android的多功能文件管理系统的设计与实现

文章所涉内容是一款基于Android的多功能文件管理系统的设计与实现。该设计以Android系统为开发平台,其目的是开发出一种方便用户使用的管理软件,使其具有文件浏览、文件权限的修改、添加文件到文件库、文件历史记录浏览、文件压缩以及文件加密等功能。     

Pub/Sub系统中基于免疫的新型路由算法

为减少Pub/Sub系统中因遍历节点而产生的广播负载,在无标度网络的Pub/Sub系统遍历路由的基础上,提出了基于免疫思想的新型路由算法。第一阶段,通过设置阈值δ,选择初始免疫节点;第二阶段,通过投票机制进一步甄选核心代理节点和免疫节点。仿真实验表明所提出的方法与Pub/Sub系统中传统的Gossip算法及洪泛算法相比较,能够限制消息在确定的范围内传播并且降低消息遍历的时间和广播开销的负载。基于免疫的新型路由算法可加快消息的传播速度、降低网络开销。