规划专题影像地图的概念重构与视觉融合设计

针对空间规划领域中专题影像地图的制图应用,对影像地图的分类体系、规划专题影像的制图框架及其中影像的功能角色等进行概念重构,并提出以"矢量与栅格、基础与专题"等关系的处理为核心,以色彩配置、符号构形、构图整饰为主体,以视觉变量协调为关键的视觉融合设计策略;示例证明能够有效指导对规划方案概念的系统表达。     

基于径向基函数神经网络的红外步态识别

为提高红外步态识别的效果,提出一种基于径向基函数神经网络的多分类器融合算法。对红外步态序列,分别应用基于轮廓线傅立叶描述子特征的模糊分类器和基于下肢关节角度特征的贝叶斯分类器进行识别,再利用径向基函数神经网络的学习和分类功能,对获得的输出信息进行度量层的融合和再识别。仿真实验结果表明,该算法获得更加精确的分类效果。     

基于SOA的制造业MRPⅡ系统的研究与实现

随着制造资源计划(MRPⅡ)在制造行业的推广和应用,如何设计一个业务敏捷的MRPⅡ系统已经成为一种发展趋势。本文依据某制造企业的实际情况,结合面向服务构架(SOA)理念,设计出一种基于SOA的MRPⅡ系统的实现方案,着重研究了生产管理模块的设计与实现,详细分析生产管理的主要模块如MRP计算等,最后详细介绍了该系统4层架构的实现。     

A supply network-modelling system for a small- to medium-sized manufacturing company

During the late 1990s and early 2000s, the profile of global manufacturing has experienced many changes. There is anecdotal evidence that many western manufacturing companies have chosen to expand their manufacturing base across geographical boundaries. The common reasons sited for these ventures are to exploit less expensive labour markets, to establish a presence in expanding markets and in response to the threat of new competition. Whilst a global manufacturing base can prove to have many cost and sales benefits, there are also many disadvantages. Logistics operations can often increase in complexity leading to higher reliance on planning and effective interpretation of demand data. In response, systems modelling has remerged as a fertile research area after many years. Many modelling and simulation techniques have been developed, but these have had very limited practical success. The authors have identified that majority of these simulation techniques rely upon a detailed market structure being known, when this is rarely the case. This paper describes the outcome of a research project to develop of a pragmatic set of tools to gather, assess and verify supply chain structure data. A hybrid collection of technologies are utilised to assist these operations and to build a dynamic supply network model.     

基于混沌遗传的巡航导弹实时规划技术

研究针对突发威胁的实时规划技术能够提高巡航导弹在未知威胁环境中的生存能力,具有重大的研究价值。实时规划的规划思想和规划算法的设计问题是巡航导弹实时规划技术必须要解决的两大难题。基于解决问题的考虑,设计了实时航迹规划的规划思路和一种混沌遗传规划算法。基于传统遗传算法的思想,利用威胁和约束条件构建适应度函数对航迹进行评价,设计了一种特殊的实数结构体编码,提出了合适的选择、交叉、变异三种算子使种群进化,并引入了混沌搜索算子,加速种群的收敛。最后进行了实时航迹规划的仿真分析。仿真结果表明:实时规划的航迹能够避开地形和新出现的威胁,算法收敛速度较快。这说明,设计的算法能够满足当前未知威胁环境下巡航导弹实时规划的需要。     

以目标为导向的时序图规划算法的研究

本文提出了一种从目标集扩张时序规划图的新算法。此算法与现有算法不同。采用逆向扩张、正向搜索的策略：由于扩张保留了关于目标的信息。实现了动作方案的完全量化。在搜索阶段。只搜索相关可用动作的交叉点,减少了搜索代价,极大地提高了搜索效率。     

Gait planning for quadruped robot based on dynamic stability: landing accordance ratio

In this article, the method for increasing dynamic stability of quadruped robot is proposed. Previous researches on dynamic walking of quadruped robots have used only walking pattern called central pattern generator (CPG). In this research, different from walking generation with only CPG, a instinctive stability measure called landing accordance ratio, is proposed and used for increasing dynamic stability. In addition, dynamic balance control and control to adjust walking trajectory for increasing dynamic stability measure is also proposed. Proposed methods are verified with dynamic simulation and a large number of experiments with quadruped robot platform.