基于SOAP/KQML的Web Services的知识通信研究

针对WebServices智能协作、通信双方互理解问题,从通信协议层入手,将Agents知识通信技术与WebServices协议结合,建立了基于SOAP/KQML的WebServices的知识通信框架:利用本体建立通信背景知识库以共享,加强通信双方内容准确理解;扩展KQML原语,以利于对背景知识库的操作。     

智能控制中的模糊控制,神经网络控制及遗传算法（下）

回顾了模糊技术、神经网络技术和遗传算法在控制领域的应用；探讨了神经模糊技术在控制领域的应用以及遗传算法优化模糊神经网络结构的实现。     

An effective approach for reliability-based robust design optimization of uncertain powertrain mounting systems involving imprecise information

The uncertain parameters of automotive powertrain mounting systems (PMSs) may involve imprecise information (e.g., incomplete, different and conflicting information) in engineering practice. An effective approach is proposed for the reliability-based robust design optimization (RBRDO) of uncertain PMSs involving imprecise information. In the proposed approach, the imprecise information of uncertain parameters is firstly addressed and combined based on evidence theory, and the uncertain parameters are treated as evidence variables. Then, an uncertainty analysis method named evidence perturbation-central difference method (EPCDM) is derived to fast estimate the mean intervals, standard deviation intervals, and the belief and plausibility measures related to system inherent characteristics. A reference method named evidence-Monte Carlo method (EMCM) is developed to verify the effectiveness of EPCDM. Next, to conduct robustness design, the weighted sum of the lower bounds of means and the upper bounds of standard deviations of system inherent characteristics are taken to construct optimization objective; while to perform reliability design, the belief measures related to system inherent characteristics are used to create reliability constraints. Afterwards, a nested RBRDO model is established to explore the optimum design of the PMS, which considers both reliability and robustness simultaneously. The nested PBRDO can be effectively simplified based on EPCDM. The effectiveness of the proposed approach is finally demonstrated by the application example.

     

Exponential stability of nonlinear differential delay equations

The aim of this paper is to investigate the exponential stability of a nonlinear differential delay equation ) Introduce the corresponding differential equation (without delay) ) and assume it is exponentially stable. It will be shown in this paper that the differential delay equation will remain exponentially stable provided the time lag τ is small enough.     

有理Beta样条曲面造型系统设计与实现

通过对有理Ｂｅｔａ样条曲面性质有其仅因子几何意义的讨论，描述了此造型系统的结构和功能以及其于窗口设计，面向对象的事件驱动环境。同时给出了有理Ｂｅｔａ样条曲面的算法及实步骤。最后通过实例对系统的实现加以说明。     

一种脉冲噪声图像复原算法

针对被脉冲噪声污染的观测图像提出了一种基于自相似灰度校正的自适应图像复原算法．该算法首先用有选择的中值滤波器对脉冲噪声进行抑制,然后利用图像的自相似性对像素值进行校正以克服中值滤波器造成的图像局部区域像素相关性增加对图像复原处理产生的不利影响．用规整化方法进行图像复原处理,并且使用在灰度校正过程中得到的竞争因子对图像局部区域的统计量进行加权来产生规整化参数,并使其在迭代过程中自适应的更新．实验结果表明,该算法获得的复原图像具有良好的客观评价指标和主观视觉效果．     

GIS中海量栅格数据的处理技术研究

综合介绍了近些年来采用的针对GIS海量数据的处理策略及技术,指出了这些技术的优缺点;并在GeoScene软件的开发过程中得到了很好的应用。     

分布环境下印染机温度自适应控制系统的研究

本文通过分析印染机温度系统的特点,首先实现两通道之间的解耦,同时针对印染机温度系统的纯滞后及参数大范围缓变的情况,采用自适应内模控制方法,通过在线辨识系统参数,并相应修改解耦参数,克服了模型辨识精度与辨识计算量的矛盾,提高了系统的鲁棒性,对不等延时的耦合系统提供了一种控制方法。     

数字水印攻击及对策分析

数字水印技术作为数字媒体版权保护的重要手段越来越引起人们的重视。文章讨论了数字水印的概念、特征,重点介绍了数字水印的鲁棒性及影响数字水印鲁棒性的因素,总结和分析了数字水印主要攻击方式并提出相应的应对措施。     

A Comparative study on multiobjective reliable and robust optimization for crashworthiness design of vehicle structure

Design optimization without considering uncertainties of system variables and parameters can be problematic in real life. In order to take into account the effect of uncertainties, reliable and robust design schemes have proven effective, but limited studies have been reported to compare their difference in a multiobjective framework. This paper takes a typical vehicle structure subject to offset frontal crashing scenario as an example to compare reliable and robust designs with their deterministic counterpart. The thicknesses of some key components of vehicle frontal structures were selected as design variables, the vehicle weight and energy absorption as the objectives, deceleration and firewall intrusion as the constraints. The deterministic multiobjective optimization problem was first solved by adopting Design of Experimental (DOE), metamodels and Non-dominated Sorting Genetic Algorithm II (NSGA-II). Take into account the uncertainties, a Monte Carlo Simulation (MCS) is adopted to generate random distributions of the objective and constraint functions for each design. For the reliability-based optimization the desired reliabilities of 90 %, 95 % and 99 % are considered, respectively. For the robustness-based optimization, two different formulation strategies are adopted. The optimization showed that the reliable and robust Pareto fronts are shifted away from their deterministic counterpart due to uncertainties. The different Pareto fronts yielded from the deterministic, reliable and robust designs are compared to provide some quantitative insights into how to apply these different design schemes for resolving uncertainty problems. It is shown that, compared with the baseline design, the optimizations enhance the crashworthiness of vehicle, though more conservative solutions could have been generated from the reliable and robust optimizations.