多投影系统D-vision中双手6自由度力觉交互

D-vision系统(这里“D”有“DivideScreen”和“Duplex-Vision”双重含义)是一类基于PC机群的多投影虚拟现实系统(或简称多投影系统)。给出D-vision系统中双手6自由度力觉交互的实现过程:在客户端协同控制两个力觉交互设备Spidar-G(SpaceInterfaceforArtificialRealitywithGrip)实现双手协作交互,其次构造一个基于UDP的Socket类完成客户端和绘制服务器节点之间的通讯,传递跟踪球的位置、方向等信息;然后,通过分布绘制实现在大屏幕上无缝显示。最后实验结果表明:在D-vision系统中双手6自由度力觉交互是一种自然直观的人机交互方式。     

射水法建造塑性砼防渗墙技术在工程中的应用

介绍了塑性砼防渗墙的施工步骤及技术特性，对射水法造墙技术的技术要点进行了总结和阐述。     

浅谈PLC中PID功能的实现方法

利用可编程控制器来完成工业过程闭环控制中PID调节,在实际应用中,需对PID的控制算法进行一些改进,以适应不同的控制对象,达到最优控制效果。     

微咸水淋洗改良对盐碱化旱田豇豆产量及性状影响

松嫩平原西部有苏打盐碱化土地面积373万hm2,其中除了盐碱化草地与碱斑地、盐碱湿地、低洼易涝盐碱地外,约有25%的盐碱低产旱田[1]由于尚无更有效的盐碱化旱田改良利用方法,目前只能种植耐盐碱性较强、耗地力、低效益的向日葵,轻度盐碱地虽能种植甜菜、高梁、糜子及玉米等,但是产量和效益均较低。为此,试验采用本地区20m~30m深具有较好渗透性的微咸水(矿化度1g/L~3g/L)进行豇豆田淋洗灌溉[2-5],进一步探讨微咸水淋洗灌溉对豇豆产量和相关性状的影响,以提供盐碱化旱田改良及高效利用的方法和依据。图1,表2,参5。     

不可压缩核废料污染问题的变网格有限元法

在求解过程中对不同时刻的空间区域采用不同的有限元网格，提出并分析了一类变网格有限元格式，并在相当一般的情况下得到了最佳的L^2模误差估计。     

K2s,2t-设计的存在性

Kν是ν点完全图，G为不带孤立点的简单图。Kν的G－设计常记为（ν，G，1）－GD，是指一个对子（X，B），其中X为Kν的点集，B为Kν的一些子图（亦称为区组）构成的集合，使得任一区组均与图G同构，且Kν的任意2个不同点组成的边恰在B的一个区组中出现。采用统一的方法构造了K2^s,2^t-设计，并给出其存在谱如下：存在（ν，K2^s,2^t,1)-GD当且仅当ν≡1(mod 2^s t 1),s,t≥0。     

模糊数学建模在人才评价中的应用

人才评价的多因素性及人才评价标准的动态性，使人才评价具有难操作性．用层次分析法决定评价因素集对应的权向量，根据综合评判函数模型，对权向量及评价模糊矩阵施行模糊矩阵的合成运算，得到相应的人才评价结果．并举例说明该方法的应用．     

Fundamentals of the analytic network process — Dependence and feedback in decision-making with a single network

The Analytic Network Process (ANP) is a multicriteria theory of measurement used to derive relative priority scales of absolute numbers from individual judgments (or from actual measurements normalized to a relative form) that also belong to a fundamental scale of absolute numbers. These judgments represent the relative influence, of one of two elements over the other in a pairwise comparison process on a third element in the system, with respect to an underlying control criterion. Through its supermatrix, whose entries are themselves matrices of column priorities, the ANP synthesizes the outcome of dependence and feedback within and between clusters of elements. The Analytic Hierarchy Process (AHP) with its independence assumptions on upper levels from lower levels and the independence of the elements in a level is a special case of the ANP. The ANP is an essential tool for articulating our understanding of a decision problem. One had to overcome the limitation of linear hierarchic structures and their mathematical consequences. This part on the ANP summarizes and illustrates the basic concepts of the ANP and shows how informed intuitive judgments can lead to real life answers that are matched by actual measurements in the real world (for example, relative dollar values) as illustrated in market share examples that rely on judgments and not on numerical data. Thomas L. Saaty holds the Chair of University Professor, Katz Graduate School of Business, University of Pittsburgh, Pittsburgh, PA, and obtained his Ph.D. in mathematics from Yale University. Before that he was a professor at the Wharton School of the University of Pennsylvania for ten years. Prior to that he spent seven years at the Arms Control and Disarmament Agency in the State Department in Washington, DC, that carried out the arms reduction negotiations with the Soviets in Geneva. His current research interests include decision-making, planning, conflict resolution and synthesis in the brain. As a result of his search for an effective means to deal with weapons tradeoffs at the Disarmament Agency and, more generally, with decision-making and resource allocation, Professor Saaty developed The Analytic Hierarchy Process (AHP) and its generalization to dependence and feedback, the Analytic Network Process (ANP). He is co-developer of the software Expert Choice and of the software Super Decisions for decisions with dependence and feedback. He has authored or co-authored twelve books on the AHP/ANP. Professor Saaty has also written a number of other books that embrace a variety of topics, including Modern Nonlinear Equations, Nonlinear Mathematics, Graph Theory, The Four Color Problem, Behavioral Mathematics, Queuing Theory, Optimization in Integers, Embracing the Future and The Brain: Unraveling the Mystery of How It Works. His most recent book is Creative Thinking, Problem Solving & Decision Making. The book is a rich collection of ideas, incorporating research by a growing body of researchers and practitioners, profiles of creative people, projects and products, theory, philosophy, physics and metaphysics...all explained with a liberal dose of humor. He has published more than 300 refereed articles in a wide variety of professional journals. He has been on the editorial boards of Mathematical Reviews, Operations Research, Naval Research Logistics Quarterly, Mathematical and Computer Modeling, Socio-Economic Planning Sciences, Applied Mathematics Letters, and several others. He also served as consultant to many corporations and governments.     

基于失效数据和统计推断优先的任务可靠性评估方法

论述了复杂武器系统任务可靠性计算的一般要求和计算任务可靠度及MTBCF的基本计算方法。通过具体示例,说明了复杂系统的寿命分布是指数型的说法并不总是正确的,应通过数据检验来确定其分布,否则,计算结果有很大误差。     

一拖三变频空调系统建模方法及控制研究

一拖多变频空调系统由于各蒸发器状态参数间的相互影响,使得系统的控制特性相当复杂,也增加了对系统进行动态建模的难度。为此,本文以一拖三系统为例,采用集总参数法,建立起系统的动态热力学模型;同时提出了系统中变频压缩机和电子膨胀阀的控制策略,引入了吸气压力控制和以电子膨胀阀直接控制室温的思路;制定了带有调整因子的模糊控制方法;利用系统热力学模型对控制策略和方法进行仿真研究,仿真结果表明所提出的控制策略和方法是有效可行的,能取得满意的控制效果。