Familiarity and plausibility in conceptual combination: Reply to Gagné and Spalding (2006).

E. J. Wisniewski and G. L. Murphy (see record 2004-22496-015) suggested that the apparent effects of relation frequency in C. L. Gagné and E. J. Shoben's (1997; see record 1997-02349-004) conceptual combination experiments could be explained by differences between the familiarity and plausibility of their stimuli (noun-noun phrases). However, C. L. Gagné and T. L. Spalding (see record 2006-20573-017) argued that Wisniewski and Murphy's measures of plausibility and frequency are both sensitive to relation frequency. They also suggested that the stimuli were mostly novel, such that differences in familiarity could not explain Gagné and Shoben's findings. The current authors focus on the theoretical rationale for the plausibility and familiarity variables, arguing that the original interpretation of their findings is correct. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

基于双正交小波和加权NLDA的人脸识别

文章针对基于零空间线性判别分析方法在高维多类别的人脸识别应用中存在的“次优性”和“效率低”两个问题,提出了一种改进方法.该方法用加权函数重新定义类间离散矩阵以减弱边缘类带来的不良影响来改善次优性问题;并对图像进行双正交小波分解来降低分辨率以到达提高效率的目的.最后在ORL人脸库上进行了实验,通过实验确定了最优加权系数和小波分解的最佳层数,并验证了该方法比基于零空间线性判别分析方法有更高的效率和识别率.     

基于加权决策树的蛋白质序列分类算法研究

针对蛋白质序列分类的需求,深入研究了蛋白质序列分类算法。对蛋白质序列的特征属性进行了大量的分析和研究,给出了蛋白质序列特征属性的描述形式。在此基础上设计了一种基于加权决策树的蛋白质序列分类算法,详细阐述了加权决策树的构造过程以及决策树的主要参数计算方法,而且根据蛋白质序列的特征,对决策树进行了改进,给出了加权决策树的实现方法。测试结果表明：设计的蛋白质序列分类算法具有较高的分类精度和较快的执行速度。     

A new DSmT combination rule in open frame of discernment and its application

A new combination rule based on Dezert-Smarandache theory (DSmT) is proposed to deal with the conflict evidence resulting from the non-exhaustivity of the discernment frame. A two-dimensional measure factor in Dempster-Shafer theory (DST) is extended to DSmT to judge the conflict degree between evidence. The original DSmT combination rule or new DSmT combination rule can be selected for fusion according to this degree. Finally, some examples in simultaneous fault diagnosis of motor rotor are given to illustrate the effectiveness of the proposed combination rule.     

Sparse synthetic aperture radar imaging with optimized azimuthal aperture

To counter the problem of acquiring and processing huge amounts of data for synthetic aperture radar(SAR)using traditional sampling techniques,a method for sparse SAR imaging with an optimized azimuthal aperture is presented.The equivalence of an azimuthal match filter and synthetic array beamforming is shown so that optimization of the azimuthal sparse aperture can be converted to optimization of synthetic array beamforming.The azimuthal sparse aperture,which is composed of a middle aperture and symmetrical bilateral apertures,can be obtained by optimization algorithms(density weighting and simulated annealing algorithms,respectively).Furthermore,sparse imaging of spectrum analysis SAR based on the optimized sparse aperture is achieved by padding zeros at null samplings and using a non-uniform Taylor window.Compared with traditional sampling,this method has the advantages of reducing the amount of sampling and alleviating the computational burden with acceptable image quality.Unlike periodic sparse sampling,the proposed method exhibits no image ghosts.The results obtained from airborne measurements demonstrate the effectiveness and superiority of the proposed method.     

基于RTLinux和AD2S80A的角位置测量系统设计与实现

基于RTlinux和AD2S80A的角位置测量系统,选用旋转变压器和感应同步器作为测量系统的传感器,利用AD2S80A轴角变换器将两种测量传感器输出的模拟信号转换为相应的数字信号。根据双通道测角系统粗精耦合的原理,在RTLinux嵌入式系统中对两种数字信号进行耦合处理,并对耦合后信号的进行补偿处理,实现角位置的高精度测量。检测数据表明,这种测量系统可以实现以内的测量精度。     

基于DV-HOP WSN改进算法的研究与仿真

节点定位是无线传感器网络应用的关键技术,通过对无线传感器网络中DV-Hop节点定位算法及影响算法定位性能因素的分析与研究,提出的一种新的改进方法,即采用基于角度阈值的锚节点选择策略,有选择性的选取锚节点参与三边定位过程,对平均每跳距离的计算进行改进,并通过引入角度加权因子对其定位结果进行修正。仿真结果表明,改进后的算法有效提高了节点的覆盖率和定位精度。     

有限元分析后处理中Surfer与Word的互接

为提高有限元分析后处理中等值线图的处理效率,利用VB Scripter编程实现Surfer等值线图的拼合,实现向Word中批量插入等值线图并为其设置格式、添加标题等功能.溪洛渡拱坝实例表明该程序可以减少有限元后处理的文件整理工作量.     

基于扇形领域扩展的同步双向A*算法

为提高航空器飞行的安全性和平滑性,解决传统A^*算法拐弯角度过大、搜索路径节点过多等问题,提出一种基于扇形领域扩展的同步双向A^*搜索算法。首先,根据栅格图法扩展危险区域边界;其次,设计了基于同步双向搜索的A^*算法,动态定义正反向搜索的目标节点。针对搜索角度有限问题,提出了在5×5领域内的扇形领域扩展策略,并设计了含有双重权重参数的评价函数以减少冗余点的产生。为验证改进算法的有效性,选取方形和不规则形状危险区进行仿真。结果表明改进的同步双向搜索算法搜索的路径更平滑;与传统双向A^*算法的结果相比,在不同形状的危险区域下,搜索路径长度分别减少了1.65%、13.16%,搜索路径节点个数减少了42.6%、46.81%,具有较强的搜索效率。