新型荫罩式PDP中电极对放电特性影响模拟分析

SM-PDP中可以通过改变电极宽度,使放电空间的等位面沿电极增加的方向扩展,在等位面扩展的区域电场得到增强,从而改善SM-PDP的放电性能.但在性能改善的同时,相邻电极间的电感加大,输入功率增加,这对SM-PDP性能的提高是不利的.本文采用三维模拟方法,详细研究了在不同电极宽度情况下,SM-PDP放电单元的放电特性,为在设计SM-PDP时选择合适的电极宽度提供帮助.     

硫酸铵-硫氰酸铵-甲基紫液-固体系浮选分离汞(Ⅱ)的研究

研究了硫酸铵-硫氰酸铵-甲基紫液-固体系浮选分离汞（Ⅱ）的行为及其与常见离子分离的条件。实验结果表明，在1．0g（NH4）2SO4存在下，当0，01mol／L硫氰酸铵和0.001mol／L甲基紫（MV）溶液的用量分别为0.5ml、0.6ml时，NH4SCN-MV-Hg三元缔合物可浮于盐水相上形成界面清晰的液-固两相，从而使Hg^2＋被定量浮选，而Zn^2＋、Cd^2＋、Cu^2＋、Mn^2＋、Ni^2＋、Fe^2＋、Al^3＋等离子不被浮选，实现了Hg^2＋与这些离子的定量分离。该方法对合成水样中微量汞（Ⅱ）进行的定量浮选分离测定，结果令人满意。     

MR智能阻尼器试验研究及径向基网络模型

制作了MR智能阻尼器，并在不同的位移，速度和电流输入情况下，对自制的MR智能阻尼器进行了性能试验研究，建立了MR智能阻尼器的径向基函数网络模型。结果表明：神经网络模型能精确的描述阻尼器正向和逆向工作特性，并且对液体沉降、液体磁响应时间、蓄能器刚度等因素的影响也能很好的解决。     

造纸过程水分智能控制

针对造纸过程的复杂性、工艺特点及要求，本文对造纸过程的水分控制，提出模糊控制和专家系统结合的智能控制方法。实践证明该控制器满足了造纸过程对水分的工艺要求，且具有良好的鲁棒性。     

水声信道的建模与仿真研究

本文简要分析了水声信道的传播特性，介绍了一种水声信道的仿真模型，并对模型进行了一定的理论分析，提出了一些改进的建议，最后给出了实现仿真的方法，并对仿真结果进行了分析。     

Computationally efficient algorithms for multiple fault diagnosis in large graph-based systems

Graph-based systems are models wherein the nodes represent the components and the edges represent the fault propagation between the components. For critical systems, some components are equipped with smart sensors for on-board system health management. When an abnormal situation occurs, alarms will be triggered from these sensors. This paper considers the problem of identifying the set of potential failure sources from the set of ringing alarms in graph-based systems. However, the computational complexity of solving the optimal multiple fault diagnosis (MFD) problem is exponential. Based on Lagrangian relaxation and subgradient optimization, we present a heuristic algorithm to find approximately the most likely candidate fault set. A computationally cheaper heuristic algorithm - primal heuristic - has also been applied to the problem so that real-time MFD in systems with several thousand failure sources becomes feasible in a fraction of a second. This paper also considers systems with asymmetric and multivalued alarms (tests).     

A Knowledge Discovery System with Support for Model Selection and Visualization

The process of knowledge discovery in databases consists of several steps that are iterative and interactive. In each application, to go through this process the user has to exploit different algorithms and their settings that usually yield multiple models. Model selection, that is, the selection of appropriate models or algorithms to achieve such models, requires meta-knowledge of algorithm/model and model performance metrics. Therefore, model selection is usually a difficult task for the user. We believe that simplifying the process of model selection for the user is crucial to the success of real-life knowledge discovery activities. As opposed to most related work that aims to automate model selection, in our view model selection is a semiautomatic process, requiring an effective collaboration between the user and the discovery system. For such a collaboration, our solution is to give the user the ability to try various alternatives and to compare competing models quantitatively by performance metrics, and qualitatively by effective visualization. This paper presents our research on model selection and visualization in the development of a knowledge discovery system called D2MS. The paper addresses the motivation of model selection in knowledge discovery and related work, gives an overview of D2MS, and describes its solution to model selection and visualization. It then presents the usefulness of D2MS model selection in two case studies of discovering medical knowledge in hospital data—on meningitis and stomach cancer—using three data mining methods of decision trees, conceptual clustering, and rule induction.     

广义人工生命的科学基础(I):工程技术基础

根据广义人工生命研究的特点,作者把系统论、控制论、信息论、人工智能、元胞自动机、L-系统、遗传算法、进化策略、进化规划、耗散结构理论、协同学、突变论、混沌、分形、转基因技术、克隆技术等的研究成果视为人工生命研究的主要科学基础。文章力求对元胞自动机、L-系统、遗传算法、进化策略、进化规划、耗散结构理论、协同学、突变论、混沌、分形和它们与人工生命的关系做系统而扼要的评述,为人工生命研究提供方便。     

增强现实技术的应用和研究

增强现实技术是近年来逐渐发展起来的新兴研究领域。文章概要地介绍了实现增强现实系统的关键技术和设备,以及需要解决的难点———准确定标问题,和目前提出的相应解决方案。该文为所有对研究和使用增强现实技术产生兴趣的人提供了一个崭新的起点。     

圆柱体质心测量中转角取值分析

为获得质量非均匀圆柱体质心的三维坐标，测量时需使圆柱体转过一定的角度。分析表明，转角最好取为90度以获得最佳测量效果。如果受条件限制，宜在45度到90度之间选取，尽量避免取小于30度的值。