LDS激光打标机的振镜扫描失真分析及矫正

LDS(Laser Direct Structuring)激光打标机的振镜扫描系统存在失真问题,从而造成动态聚焦误差。对激光振镜扫描系统失真问题进行了详细理论分析,建立了该振镜扫描系统的数学模型,讨论了振镜动态聚焦误差来源和误差表现,提出了LDS振镜扫描系统误差矫正方法,通过实验验证了该方法的可行性。     

适于器件及电路分析的全耗尽短沟道LDD／LDSSOI MOSFET器件模型

本文系统描述了全耗尽短沟道ＬＤＤ／ＬＤＳＳＯＩＭＯＳＦＥＴ器件模型的电压电压特性。该模型扩展了我们原有的薄膜全耗尽ＳＯＩＭＯＳＦＥＴ模型，文中着重分析了器件进入饱和区后出现的沟道长度调制效应，及由于ＬＤＤ／ＬＤＳ区的存在对本征ＭＯＳ器件电流特性的影响。     

A Hybrid Learning Method for the Data-Driven Design of Linguistic Dynamic Systems

In lots of data based prediction or modeling applications, uncertainties and/or noises in the observed data cannot be avoided. In such cases, it is more preferable and reasonable to provide linguistic (fuzzy) predicted results described by fuzzy memberships or fuzzy sets instead of the crisp estimates depicted by numbers. Linguistic dynamic system (LDS) provides a powerful tool for yielding linguistic (fuzzy) results. However, it is still difficult to construct LDS models from observed data. To solve this issue, this paper first presents a simplified LDS whose inputoutput mapping can be determined by closed-form formulas. Then, a hybrid learning method is proposed to construct the data-driven LDS model. The proposed hybrid learning method firstly generates fuzzy rules by the subtractive clustering method, then carries out further optimization of centers of the consequent triangular fuzzy sets in the fuzzy rules, and finally adopts multiobjective optimization algorithm to determine the left and right end-points of the consequent triangular fuzzy sets. The proposed approach is successfully applied to three real-world prediction applications which are: prediction of energy consumption of a building, forecasting of the traffic flow, and prediction of the wind speed. Simulation results show that the uncertainties in the data can be effectively captured by the linguistic (fuzzy) estimates. It can also be extended to some other prediction or modeling problems, in which observed data have high levels of uncertainties.      

On-line resources allocation for ATM networks with rerouting

This paper presents an application we developed for France Telecom R&D to solve a difficult real-life network problem. The problem takes place in an Asynchronous Transfer Mode (ATM) network administration context and consists in planning demands of connection over a period of 1 year. A new demand is accepted if both bandwidth and Quality of Service (QoS) requirements are satisfied. Demands are not known prior to the assignment and must be performed on-line according to their arrival. Moreover, the acceptance or the reject of a demand must be decided within a given time of 1 min.     

Evaluation of flocs resistance and reflocculation capacity using the LDS technique

In a previous paper we have shown the added value of using LDS to monitor flocculation. It can supply, simultaneously, information on flocs size and structure and enlighten flocculation kinetics and mechanisms. In this paper, LDS is applied to study deflocculation and reflocculation processes of precipitated calcium carbonate (PCC) induced by cationic polyacrylamides, when different types of shear forces are applied. LDS can detect the influence of polymer characteristics and concentration as well as of the type of shearing, on flocs resistance and reflocculation degree, which depend on flocs structure and on the type of bonds between particles. As expected, flocs formed by bridging mechanism reflocculate with difficulty while flocs formed by patching reflocculate to a higher degree. Flocs resulting from reflocculation are more compact than the original ones, as assessed by the mass fractal dimension. Reflocculation is also lower when the flocs are submitted to superficial shearing than when they are submitted to sonication. Shearing induced by sonication is sufficient to break down the flocs in many fragments while the increase of pump speed only detaches particles by erosion, at the flocs surface, where bonds are weaker. Results prove that LDS is useful to monitor deflocculation and reflocculation processes and to predict floc resistance under different conditions. Moreover, the whole study demonstrates the benefit of using LDS for a complete evaluation of flocculants performance in the different stages of flocculation: aggregation, stabilization, deflocculation and reflocculation.     

基于线性动态系统的视频压缩感知自适应改进

线性动态系统的视频压缩感知(CS-LDS)是指从随机采样数据中直接估计出模型参数,然而对所有视频帧采取同样的采样方式,使得采样数据存在一定的时间冗余.针对这一问题,结合自适应压缩采样技术提出了一种自适应的改进算法.首先,对视频信号建立线性动态系统(LDS)模型;然后,通过自适应压缩采样方法得到视频信号的采样数据;最后,通过采样数据估计出系统模型参数,实现视频信号的重构.实验结果表明,在不影响视频重构质量的条件下,所提方法相对于CS-LDS算法,不仅能够节省统一测量过程中20%~40%的采样数据,而且平均每帧能够节省0.1~0.3 s的运行时间.改进后的算法降低了采样数目与算法运行时间.     

大规模分布式系统脆弱性分析框架研究

随着大规模分布式系统在国家安全、经济运行、基础设施、社会生活等方面扮演的角色越来越重要,其脆弱性分析问题日益成为人们关注的焦点。将大规模分布式系统视为脆弱性分析对象,构建了大规模分布式系统的层次模型,分析了大规模分布式系统的脆弱性类型,提出了基于生命周期的多维度的大规模分布式系统脆弱性分析框架,从脆弱性分析阶段、生命周期以及脆弱性类型等方面系统地梳理了研究方向。     

Linguistic Dynamic Modeling and Analysis of Psychological Health State Using Interval Type-2 Fuzzy Sets

The study of psychological health state is helpful to build appropriate models and take effective intervention strategies, and the results benefit the intervened released from psychological distress within the shortest possible time. In this paper, interval type-2 fuzzy sets and fuzzy comprehension evaluation are applied in the analysis of mental health status and crisis intervention. A closed-loop linguistic dynamic intervention model for psychological health state is built. Linguistic dynamic systems based on interval type-2 fuzzy sets are used to describe and analyze the evolutionary process of psychological health status.      

一种虚拟人运动生成和控制方法

利用运动捕获数据,通过学习获得虚拟人运动的统计模型,从而创建真实、可控的虚拟人运动.提出了一种方法:通过对原始运动数据聚类,提取出局部动态运动特征--动态纹理,并用线性动态系统描述,有选择地注释有明确含义的线性动态系统,构建注释动态纹理图.利用这一统计模型,可生成真实感强、可控的虚拟人运动.结果表明,这种方法在交互环境中能够生成流畅、自然的人体运动.     

Lurie广义系统基于观测器的控制器设计

研究了Lurie广义系统基于状态观测器的控制器设计问题.通过使用Lyapunov稳定性理论,线性矩阵不等式方法,分别给出了状态反馈控制器和观测器的设计方法,并建立了分离原理,进而得到了基于观测器的控制器设计方法.所得结论对广义系统理论本身的发展和实际应用都有非常重要的意义.最后给出了仿真实例.