A collaborative platform for complex product design with an extended HLA integration architecture

How to integrate the heterogeneous, autonomous models in a distributed environment, running on Internet, integration based on multilayer federation architecture and simulation resources dynamic reuse are the major difficulties for complex product collaborative design and simulation. An extended HLA-based collaborative simulation platform for multidisciplinary collaborative design is proposed. The architecture of platform is first given. The idea and realization of four key technologies, the dynamic creation of simulation federation based on resource management federation (RMF), HLA enabled template, collaborative simulation algorithm based on stage-data synchronization and TH_RTI, an extensible HLA runtime infrastructure (RTI), which is a web enabled RTI and can be used at Internet, are emphasized. Finally, an industry case is given. The demonstration of these prototype systems shows that extended HLA integration architecture is effective infrastructure for multidisciplinary collaborative modeling and simulation (M&S).     

Multistage System Planning for Hydrogen Production and Distribution

Hydrogen is an energy carrier that has the potential to improve the sustainability of transportation fuels and reduce oil dependence. This paper presents a stochastic dynamic programming model for sequentially building a hydrogen production and distribution system. The decision variables are the sequence and locations of the central production sites and the corresponding distribution systems from supply to demand sites. A case study based on the geographic setting of Northern California is included, in which the hydrogen is produced via coal gasification and transported from plant to city gates (demand sites) by cryogenic liquid hydrogen trucks. Future demands for hydrogen are modeled as uncertain parameters, with an assumption that hydrogen fuel cell vehicle (HFCV) market penetration rate increases from 1% to 25% over a 20-year period. This model provides multistage decision support for long term transportation energy planning at national and regional levels.     

Solving Stochastic Transportation Network Protection Problems Using the Progressive Hedging-based Method

This research focuses on pre-disaster transportation network protection against uncertain future disasters. Given limited resources, the goal of the central planner is to choose the best set of network components to protect while allowing the network users to follow their own best-perceived routes in any resultant network configuration. This problem is formulated as a two-stage stochastic programming problem with equilibrium constraints, where the objective is to minimize the total expected physical and social losses caused by potential disasters. Developing efficient solution methods for such a problem can be challenging. In this work, we will demonstrate the applicability of progressive hedging-based method for solving large scale stochastic network optimization problems with equilibrium constraints. In the proposed solution procedure, we solve each modified scenario sub-problem as a mathematical program with complementary constraints and then gradually aggregate scenario-dependent solutions to the final optimal solution.     

基于双核处理器的机敏结构振动主动控制器设计

针对分布植入式压电机敏结构振动主动控制技术需求,提出一种新型基于嵌入式架构的多通道振动响应控制器;该系统以嵌入式处理器(ARM)和数字信号处理器(DSP)为双处理器核心,ARM处理器上运行实时操作系统μC/OS-II,并提供人机接口单元和通信等功能,DSP处理器主要负责数据采集、算法运算和处理结果输出,整个系统充分结合了ARM处理器强大的中断处理能力和DSP处理器高效快速的数据处理能力;详细阐述系统总体设计思想、系统软硬件设计方案、系统构成与核心部件、功能指标和开发过程,以及实验测试设置与结果验证;设计开发与测试分析表明,该控制器性能良好且功能丰富,能够满足实际研究工作的需要。     

研究生人工智能系列课程教学改革

从人工智能系列课程的实际特点出发,结合中南大学智能所教师授课方面的经验,总结并提出几点教学改革建议。这些教学经验在博士研究生教学改革中收到良好效果,对其他系列课程的研究性教学也有重要的指导作用。     

一种卫星遥测数据相关性分析方法

卫星遥测数据反映了卫星各系统的实时工作情况,是对卫星各系统工作状态进行分析判断的依据,其数据处理结果及质量直接影响卫星在轨性能的分析和状态的评定.运用ID3算法对卫星太阳帆板遥测数据进行分析,挖掘隐藏在数据中的知识和规则,得到数据之间的关联性,为卫星在轨性能分析提供依据.     

MTPSO algorithm for solving planar graph coloring problem

In this paper, we proposed a modified turbulent particle swarm optimization (named MTPSO) model for solving planar graph coloring problem based on particle swarm optimization. The proposed model is consisting of the walking one strategy, assessment strategy and turbulent strategy. The proposed MTPSO model can solve the planar graph coloring problem using four-colors more efficiently and accurately. Compared to the results shown in Cui et al. (2008), not only the experimental results of the proposed model can get smaller average iterations but can get higher correction coloring rate when the number of nodes is greater than 30.     

统一数据管理空间在大规模并行作业计算中的应用

大规模并行作业的计算通常涉及海量的计算数据和众多的高性能计算设备.随着网格计算技术帮助人们进行计算的同时,大规模并行作业的数据规模的增长也越来越快,对计算速度的要求也越来越高,为了充分利用网格等计算平台上的资源,提高作业的计算效率,人们通常需要将待计算的数据进行分组,然后分别上传至不同的平台上进行计算,这对科学研究和数据管理造成了极大的不便.本文提出了一个针对大规模并行作业计算的统一数据管理空间,实现了异构网格和计算平台上数据的逻辑整合,从而大大提高了对计算数据的管理效率,加快了科学活动的进程.本文最后通过统一数据管理空间在大规模虚拟筛选中的应用,对该统一空间的数据传输效率和数据管理能力进行了分析.     

基于μC/OS-Ⅱ的车载操作系统设计

根据OSEK/VDX规范,以及μC/OS-Ⅱ内核的特点,分析二者的差异,通过修改μC/OS-Ⅱ内核,设计出一种符合OSEK/VDX规范的车载嵌入式操作系统.并从任务管理与调度、资源管理、警报与计数器管理、事件管理和中断管理等多方面,详细地介绍了该系统的主要设计思想.