动态联盟公司异地生产计划调度与控制系统的研究

针对复杂任务问题的求解，提出了一种基于敏捷企业间组成的动态联盟公司的运行模式，并给出了一种异地生产计划调度与控制系统的结构模式，详细讨论了分布式生产调度的协同控制方法。     

动态联盟公司异地生产计划调度与控制系统的研究

针对复杂任务问题的求解，提出了一种基于敏捷企业间组成的动态联盟公司的运行模式，并给出了一种异地生产计划调度与控制系统的结构模式。详细讨论了分布式生产调度的协同控制方法。     

面向服务架构的敏捷制造及关键技术

首先研究敏捷制造及动态联盟等现代制造模式,分析了敏捷制造的内涵和面向服务的技术基础,利用面向服务的架构、业务流程管理和Web服务等相关的标准和技术构建了企业业务集成服务平台。在此基础上提出面向服务架构敏捷制造的4个关键技术,如企业应用体系结构、产品数据交换平台、请求服务平台、生产计划与动态调度。     

面向服务架构的敏捷制造及关键技术

首先研究敏捷制造及动态联盟等现代制造模式,分析了敏捷制造的内涵和面向服务的技术基础,利用面向服务的架构、业务流程管理和Web服务等相关的标准和技术构建了企业业务集成服务平台.在此基础上提出面向服务架构敏捷制造的4个关键技术,如企业应用体系结构、产品数据交换平台、请求服务平台、生产计划与动态调度.     

基于多代理和规则调度的敏捷调度系统研究

研究了在敏捷制造环境下制造车间过程的动态调度问题,针对敏捷化调度的特殊要求,提出了综合运用多代理机制与规则调度实现敏捷化制造车间生产过程动态调度的方法,建立了基于多代理生产组织和运行模式的生产过程动态调度系统框架结构,研究了在多代理结构的基础上实现规则调的方法,创建了适应实际生产环境的代理的模型结构,并以一类敏捷加工车间动态调度的仿真研究说明所提出方法的思路和可行性。     

分布式混合优化调度方法研究

在敏捷制造环境下车间组织模型不再只是物理上集中在一起的生产作业车间，其制造资源分散在不同地域的企业联盟中。引入了部分全局优化调度的概念，将作业按其紧迫程度进行分组并完成优化；针对分布式调度中优化与动态响应的冲突问题，提出了一种将优化调度和分布式动态调度相结合的混合调度控制方法；设计了多Agent的动态调度系统结构，描述了处于不同角色Agent的运作过程；详细阐述了系统中可能遭遇的随机干扰事件及其动态应对策略。给出了算例，对计算结果进行了分析。     

面向中小企业的动态联盟及其实现模式研究

研究了我国中小企业的现状及其对敏捷制造的需求，讨论动态联盟的实施原则；提出一个低成本，实用化的面向中小企业的动态联盟模型以及基于这一模型的产品开发程序，最后结合浙东地区的实际情况分析实施动态联盟的可行性和具体步骤。     

动态联盟公司的体系结构及运行模式研究

动态联盟公司是以信息为导向，以高柔性制造为支持，实现敏捷制造原理的一种企业形式。研究了动态联盟公司的产生背景、体系结构、组成及运行模式，探讨了动态联盟公司与并行工程、ＣＩＭＳ和精节生产等管理模式的本质区别，认为动态联盟公司是有效利用企业资源，实现产品多元化、个体化生产的最理想的企业模式。     

基于MAS的生产过程动态调度与控制的自治组织结构及其在Internet/Intranet下的实现

针对车间调度复杂任务求解问题，提出一种基于MAS调度与控制的任务一策略与方法一制造资源三维框架结构，讨论基于MAS的采用分级递阶和并行处理相结合的自治组织结构和运作模式。利用与组织结构相对应的层次黑板结构实现各Agent之间信息与数据共享。针对基于MAS面向敏捷制造的生产过程动态调度与控制思想，提出在Internet／Intrarlet环境下的实现方法。     

基于多agent的敏捷生产调度系统模型的研究

针对敏捷MES中的生产管理特点,提出了基于多agent的敏捷生产调度系统模型,详细介绍了系统的体系结构和各个agent的功能特点,并对其运行机制和agent间的信息交互进行了分析,为企业实现制造的柔性、对动态环境的适应性和快速响应性提供了依据。     

Performance comparison between the high-speed Yokogawa spinning disc confocal system and single-point scanning confocal systems

Fluorescence microscopy of the dynamics of living cells presents a special challenge to a microscope imaging system, simultaneously requiring both high spatial resolution and high temporal resolution, but with illumination levels low enough to prevent fluorophore damage and cytotoxicity. We have compared the high-speed Yokogawa CSU10 spinning disc confocal system with several conventional single-point scanning confocal (SPSC) microscopes, using the relationship between image signal-to-noise ratio and fluorophore photobleaching as an index of system efficiency. These studies demonstrate that the efficiency of the CSU10 consistently exceeds that of the SPSC systems. The high efficiency of the CSU10 means that quality images can be collected with much lower levels of illumination; the CSU10 was capable of achieving the maximum signal-to-noise of an SPSC system at illumination levels that incur only at 1/15th of the rate of the photobleaching of the SPSC system. Although some of the relative efficiency of the CSU10 system may be attributed to the use of a CCD rather than a photomultiplier detector system, our analyses indicate that high-speed imaging with the SPSC system is limited by fluorescence saturation at the high levels of illumination frequently needed to collect images at high frame rates. The high speed, high efficiency and freedom from fluorescence saturation combine to make the CSU10 effective for extended imaging of living cells at rates capable of capturing the three-dimensional motion of endosomes moving up to several micrometres per second.     

Multidisciplinary design optimization of a structurally nonlinear aircraft wing via parametric modeling

In this study, the optimization of an aircraft wing design was conducted using multidisciplinary design optimization (MDO), which integrates aerodynamic and structural analysis in considering nonlinear structural behavior. Automation is an absolute necessity to make the MDO framework practical for actual engineering optimization problems. The objective of this research was to develop a fully automated MDO framework in which the entire process is automated through a parametric-modeling approach. The computational fluid dynamics (CFD) grid was generated automatically from parametric modeling using CATIA and Gridgen, followed by automatic flow analysis using FLUENT. The computational structure mechanics (CSM) grid was generated automatically by the parametric methods of CATIA and MSC/Patran. The structure was analyzed by ABAQUS considering the deformation nonlinearity, and the aerodynamic load was transferred from the CFD grid to the CSM grid using the volume spline method. The response surface method was applied for optimization, which helped achieve the global optimum. The developed MDO framework was applied to a wing optimization problem in which the objective was wing weight and the constraints were the lift-drag ratio, wing deflection, and structural stress level. The aspect ratio, taper ratio, quarter-chord sweep angle, skin thickness, and spar flange area were the design variables. The optimization design result demonstrated a successful application of the fully automatic MDO framework.     

Sliding mode based fault detection,reconstruction and fault tolerant control scheme for motor systems

The fault-tolerant control problem belongs to the domain of complex control systems in which inter-control-disciplinary information and expertise are required. This paper proposes an improved faults detection, reconstruction and fault-tolerant control (FTC) scheme for motor systems (MS) with typical faults. For this purpose, a sliding mode controller (SMC) with an integral sliding surface is adopted. This controller can make the output of system to track the desired position reference signal in finite-time and obtain a better dynamic response and anti-disturbance performance. But this controller cannot deal directly with total system failures. However an appropriate combination of the adopted SMC and sliding mode observer (SMO), later it is designed to on-line detect and reconstruct the faults and also to give a sensorless control strategy which can achieve tolerance to a wide class of total additive failures. The closed-loop stability is proved, using the Lyapunov stability theory. Simulation results in healthy and faulty conditions confirm the reliability of the suggested framework.     

基于Web的中小企业客户关系管理系统规划与实现

我国中小企业与大型企业相比具有规模小,技术、资金、人才缺乏等特点,因此中小企业CRM必须具备傻瓜化的特点:功能尽可能简单、实用,实施周期一定要短,维护方便,价格便宜。本文根据以上要求提出了基于B/S(Browser/Server)模式的中小企业客户关系管理系统(ZXCRM),就CRM系统的业务架构,工作流程,实现的关键技术,系统平台的功能和体系结构等问题进行了深入研究,并给出了系统实现的应用实例。     

基于UML的分布式制造执行系统框架开发

通过研究框架技术,提出一种基于UML的制造执行系统框架的开发方法,设计出一种代理与构件映射集成的设计模式,使得该框架具有分布式、模块化、可重构、可集成、敏捷化的特点,并用于实际开发中。为基于框架的制造执行系统软件开发提供了条件,满足了软件柔性和敏捷性的开发需求。     

基于多摄像机的鲁棒运动结构重建方法

考虑大尺度噪声对测量矩阵的影响,提出了一种基于多摄像机的鲁棒运动结构重建方法.通过引入一种用于低秩矩阵恢复的数学模型,将丢失数据和大尺度噪声造成的不完整测量矩阵求解转化为凸优化问题,并使用鲁棒主成分分析方法对其求解,利用多摄像机下的矩阵分解理论实现多摄像机下运动结构重建.实验结果表明,提出的方法能够有效解决大尺度噪声的存在造成多摄像机运动结构重建方法失效的问题,准确地重建物体三维结构.     

Modeling differential item functioning with group-specific item parameters: A computerized adaptive testing application

Many important decisions are made based on the results of tests administered under different conditions in the fields of educational and psychological testing. Inaccurate inferences are often made if the property of measurement invariance (MI) is not assessed across these conditions. The importance of MI is even greater when test respondents are compared based on their responses to different items, such as the case in computerized adaptive testing (CAT), because the existence of items that exhibit differential item functioning (DIF) can produce bias within a group as well as between groups. This article demonstrates a straightforward psychometric method for conducting a test of measurement invariance (MI) and illustrates a method for modeling DIF by assigning group-specific item parameters in the framework of IRT. The article exemplifies two applications of the method for a CAT used in a high stakes international organizational assessment context. These examples pertain to context effects due to the test administration method (computer based linear test vs. CAT), and the context effects due to language in a CAT.     

基于模糊基函数网络和自适应最小二乘算法的外圆纵向磨削表面粗糙度的预测

建立了外圆纵向磨削表面粗糙度的模糊基函数网络（FBFN）预测模型，网络的训练采用自适应最小二乘算法（ALS）。ALS将最小二乘算法和遗传算法相结合，能够自主学习，不用人为干预，FBFN和粗糙度的分析模型相结合，只需少量实验数据便可完成网络的训练，自动产生模糊规则，确定隐含层的节点数。仿真和实验结果表明，FBFN网络结构非常适合粗糙度的预测和控制，采用ALS学习方法比BP算法、传统的遗传算法和正交二乘法等能产生更好的结果。     

动态联盟企业的模型化及其工具系统

在动态联盟企业模型基础上,阐述了动态联盟企业模型（ＶＥＭ）的建模框架和模型化方法,进一步探讨了支持动态联盟企业模型化的工具系统的系统功能结构与系统的设计实现。     

基于STEP模块化的虚拟企业产品库

虚拟企业产品数据仓库是构建虚拟企业的一个基础结构，它是产品数据共享的核心，是对产品数据进行集中管理、操作与应用的平台。提出了以STEP模块化为基础的虚拟企业产品数据仓库总体框架，探讨了基于STEP和CORBA技术以构建一个精练、集成的产品数据仓库的技术策略。