Comparison between PCA and KPCA methods in comprehensive evaluation of robotic kinematic dexterity

Due to the correlation and diversity of robotic kinematic dexterity indexes, the principal component analysis （PCA） and kernel principal component analysis （KPCA） based on linear dimension reduction and nonlinear dimension reduction principle could be respectively introduced into comprehensive kinematic dexterity performance evaluation of space 3R robot of different tasks. By comparing different dimension reduction effects, the KPCA method could deal more effectively with the nonlinear relationship among different single kinematic dexterity indexes, and its calculation result is more reasonable for containing more comprehensive information. KPCA＇ s calculation provides scientific basis for optimum order of robotic tasks, and furthermore a new optimization method for robotic task selection is proposed based on various performance indexes.     

任务分区及工位约束下装配线第二类平衡研究

装配线平衡直接影响产品产量,也是在装配线布局初始或重构时所必须面临的问题.针对第二类装配线平衡问题(ALBP-2),构建了一种考虑优先关系约束、任务分区约束和工位约束的多目标优化模型.为提高模型求解效率,采用逐步缩小节拍搜索范围的动态步长方法,提出基于自动机回溯算法的改进粒子群算法,提高了任务分配合理性,快速搜索出具有最小节拍和负载平滑系数的任务分配方案.引入任务分配矩阵表示每个工位上的任务分配情况,使结果描述更加明确.通过案例分析验证了所提模型和方法的有效性.     

基于EZW与SPIHT的雷达图像压缩研究

随着技术的发展,雷达图像的大小日益增长,采用传统的图像压缩方案已经无法满足系统要求。因此,本文研究了基于小波变换的压缩方式—嵌入式零树小波与多级树集合分裂算法。对两者的编码解码过程进行了详细推导与介绍。实验对3幅高分辨率雷达图像进行测试,证实了多级树集合分裂算法性能更优。     

一类线性内部奇点边值问题的区间分段求解

本文对一类线性的、具有单个内部奇点的奇异边值问题采用区间分段处理,从而较好地刻画解的奇异行为。文中给出的数值例子说明了求解该类问题的具体方法与步骤,其计算结果表明,该方法是有效的。     

一类线性奇异边值问题的区间分段求解

对一类线性奇异边值问题采用区间分段处理,从而较好地刻画解的奇异行为.给出的数值例子说明了求解一个边界奇点问题的具体方法,其计算结果表明,该方法是有效的.     

多处理器系统最优任务分配问题的一个近似算法

多处理器系统上的最优任务分配的研究是有效利用系统资源处理实际问题的热点课题,文章在考虑任务可分和任务不可分的两种多处理器最优任务分配问题上,首次提出了这两个问题在处理器的个数大于１时都是ＮＰ－完全问题,其次给出了一个有效的近似算法,     

Predicting bankruptcy using recursive partitioning and a realistically proportioned data set

Auditors must assess their clients' ability to function as a going concern for at least the year following the financial statement date. The audit profession has been severely criticized for failure to ‘blow the whistle’ in numerous highly visible bankruptcies that occurred shortly after unmodified audit opinions were issued. Financial distress indicators examined in this study are one mechanism for making such assessments. This study measures and compares the predictive accuracy of an easily implemented two‐variable bankruptcy model originally developed using recursive partitioning on an equally proportioned data set of 202 firms. In this study, we test the predictive accuracy of this model, as well as previously developed logit and neural network models, using a realistically proportioned set of 14,212 firms' financial data covering the period 1981–1990. The previously developed recursive partitioning model had an overall accuracy for all firms ranging from 95 to 97% which outperformed both the logit model at 93 to 94% and the neural network model at 86 to 91%. The recursive partitioning model predicted the bankrupt firms with 33–58% accuracy. A sensitivity analysis of recursive partitioning cutting points indicated that a newly specified model could achieve an all firm and a bankrupt firm predictive accuracy of approximately 85%. Auditors will be interested in the Type I and Type II error tradeoffs revealed in a detailed sensitivity table for this easily implemented model. Copyright © 2000 John Wiley & Sons, Ltd.     

基于设计结构矩阵的航天项目解耦方法研究 ——以载人航天工程项目Z为例

航天项目具有任务组成复杂、内部迭代繁多的特点,易出现因任务耦合导致严重延期的问题。现行航天项目管理方法无法直观表示项目任务耦合关系,难以对耦合度较大的任务进行识别、优化。本文提出将任务反馈跨度和任务反馈的前序任务与反馈任务数量之比两个因素构建耦合度评价的函数,利用设计结构矩阵任务排序解耦原理,结合遗传算法求解耦合度最低的项目任务排序的方法。最后以载人航天工程项目Z作为例,证明该方法的有效性。     

分区操作系统在IMA系统中的任务调度研究

针对遵循ARINC 653接口规范的航空电子分区系统实时性能不强这一问题,借鉴DO—178B分级定义软件安全性的思路和RTLinux的双核架构设计思想,提出了一种新的分区调度机制,即根据分区程序的关键度、紧迫度和完成度,动态设置、调整分区优先级,允许分区实时抢占调度。策略扩展了时间分区的概念,增强了系统的调度灵活性,提高了系统实时性能,不足之处是会弱化系统的可预测性。     

基于关联滤波算法的飞机任务段使用监控

针对飞机服役历程中复杂多变的使用环境和飞行任务,为了准确快速地获得其实际使用情况,提出了合成关联滤波算法。对于各实测数据任务段,建立对应的关联滤波器。并基于滤波结果和贝叶斯网络设计实现了一种飞机任务段推理决策方法。经实测数据验证表明,建立的任务段关联滤波器能够较好地识别出各飞行参数响应,采用任务段推理决策方法对测试样本的类别属性进行推断,结果的准确率达97.2%。可为飞机等大型机械结构的复杂使用情况监控提供新的技术途径,也可为其损伤/寿命监控提供必要的数据支持。