变曲率高聚物材料表面三维轮廓和变形场分布的同时测量

为测得变曲率高聚物材料的表面三维轮廓和变形场分布情况,构建一个基于条纹投影技术的三维测量系统,通过采用改进的标定方法实现对系统的高精度标定,然后利用标定好的系统对一块表面凹凸不平的EVA材料板进行表面轮廓测量,对该材料板施加一定作用的力使其产生形变后再对其进行三维轮廓测量,由变形前后采集到的数据经过分析得到该材料的变形场分布情况,从而实现了变曲率高聚物材料表面轮廓和变形场分布的同时测量.     

‘t Hooft磁单极子的存在唯一性

采用动态打靶的方法证明了‘t Hooft磁单极子的存在唯一性。     

基于动机模型的自主性虚拟人行为选择研究

自主性虚拟人的研究是人工生命和计算机动画交叉融合的新领域.但是由于人的心理活动是一个整体的过程,动机、感知等这些参数都是互有联系和影响的,目前的研究仍然只是局部和有限的.借鉴马斯洛理论,基于动机模型框架提出一种简化的抑制和疲劳模型控制的虚拟人自主行为选择机制,实验结果表明,该方法较好地解决了在资源有限的动态虚拟环境中,虚拟人如何在多个相互抑制的行为之间对行为进行仲裁和选择.经实验证明,该研究可以应用于智能交互领域.     

面向MES的钢铁烧结生产原料供应调度系统

针对某钢铁企业烧结厂烧结生产原料供应调度问题,提出了面向MES的烧结生产原料供应调度系统的整体功能、结构和设计原则,并采用了模型加启发式算法和人际交互相结合的烧结生产原料供应调度计划编制方法。设计并开发了烧结生产原料供应调度系统,通过现场数据离线仿真表明:该系统可快速准确地编制出符合现场情况、满足工艺要求、高效的烧结生产原料供应调度计划。     

基于交换机制的环境数据重用方法研究

综合自然环境建模与仿真是当前军事建模与仿真领域研究的热点与难点,而在不同应用领域里重用(SNE)数据则是发展趋势。首先,从综合环境数据层次入手,研究基于交换机制的数据重用方法的基本原理和处理过程;然后,通过具体分析SEDRIS(Synthetic Environmental Data Representation and Interchange Specification)来阐述上述方法的可行性与实用性;最后,根据SEDRIS应用上的不足,分析数据交换方法今后的发展方向,为建模与仿真领域的数据重用提供了一些新的思路和见解。     

基于冗余CAN总线设计的智能化复合传感器

设计了一种基于冗余CAN总线的智能化复合传感器,用于流体温度、压力、流量测量,三种敏感元件及其处理电路与结构集成于一体,采用XC886CLM单片机进行数据的采集处理与CAN总线通信管理,通过信号过采样设计与多传感器数据融合提高了整体测量精度,并实现CAN总线故障诊断与冗余切换管理。     

A novel approach to update summarization using evolutionary manifold-ranking and spectral clustering

Update summarization is a new challenge in automatic text summarization. Different from the traditional static summarization, it deals with the dynamically evolving document collections of a single topic changing over time, which aims to incrementally deliver salient and novel information to a user who has already read the previous documents. How to have a content selection and linguistic quality control in a temporal context are the two new challenges brought by update summarization. In this paper, we address a novel content selection framework based on evolutionary manifold-ranking and normalized spectral clustering. The proposed evolutionary manifold-ranking aims to capture the temporal characteristics and relay propagation of information in dynamic data stream and user need. This approach tries to keep the summary content to be important, novel and relevant to the topic. Incorporation with normalized spectral clustering is to make summary content have a high coverage for each sub-topic. Ordering sub-topics and selecting sentences are dependent on the rank score from evolutionary manifold-ranking and the proposed redundancy removal strategy with exponent decay. The evaluation results on the update summarization task of Text Analysis Conference (TAC) 2008 demonstrate that our proposed approach is competitive. In the 71 run systems, we receive three top 1 under PYRAMID metrics, ranking 13th in ROUGE-2, 15th in ROUGE-SU4 and 21st in BE.     

A hybrid model-based optimal control method for nonlinear systems using simultaneous dynamic optimization strategies

To improve the overall control performance of nonlinear systems, an optimal control method, based on the framework of hybrid systems, is proposed. Firstly, the nonlinear systems are approximated by a number of piecewise affine models which are produced by the nonlinear systems at the specified operating points, then the piecewise affine models are synthesized under the framework of hybrid systems, and an associated optimal control problem, in which decision variables involve not only admissible continuous control but also the scheduling of subsystem modes, is established. Secondly, the optimal control problem is transformed into a MIQP problem by discretization over the whole state space and admissible control space to obtain the numerical optimal solution. For speeding up the algorithm, the simultaneous method on finite elements is used to lower the dimensions of the MIQP problem. Consequently, a hybrid model-based MPC for nonlinear systems is designed, and the adverse effects of model mismatch resulted from simultaneous method is weakened by MPC strategy. Simulations and comparisons with soft-switching method, hard-switching method and MLD method, confirm that a satisfactory performance can be obtained using the presented approach.     

PID control performance assessment using iterative convex programming

Minimum achievable output variance (MAOV) is a common benchmark for control performance assessment. Finding the MAOV of proportional–integral–derivative (PID) control systems is computationally expensive due to the inherent non-convexity of the associated optimization problem. We present in this paper a new framework for computing the MAOV of PID control systems. The problem of estimating the MAOV of a PID control system is novelly formulated as a convex program with an additional non-convex constraint. The non-convex constraint is linearized and handled by the penalty approach. Based on this, a low-complexity algorithm, which relies on the iterative convex programming technique, is developed to solve the MAOV problem. The new algorithm is proved to be convergent. We show via numerical examples that the new approach yields close-to-optimal solutions that are better than (or as good as) the solutions generated by the existing methods.     

一种性能优化的小文件存储访问策略的研究

在分布式文件系统中,小文件的管理一般存在访问性能较差和存储空间浪费较大等缺点.为了解决这些问题,提出了一种性能优化的小文件存储访问(SFSA)策略.SFSA将逻辑上连续的数据尽可能存储在物理磁盘的连续空间,使用Cache充当元数据服务器的角色并通过简化的文件信息节点提高Cache利用率,提高了小文件访问性能;写数据时聚合更新数据及其文件夹域中的相关数据为一次I/O请求写入,减少了文件碎片数量,提高了存储空间利用率;文件传输时利用局部性原理,提前发送批量的高访问率的小文件,降低了建立网络连接开销,提升了文件传输性能.理论分析和实验证明,SFSA的设计思想和方法能有效地优化小文件的存储访问性能.