热释电红外传感器在防盗系统中的应用

利用红外传感器组成被动式红外探测器,用以传感入侵信息,再经有线信道把此信息传至指定部门,以完成防盗功能.     

基于统一强度理论的土压力公式

基于俞茂宏统一强度理论,考虑中间主应力效应,按照现有的极限状态分析方法,推导了土压力计算公式,Rankine土压力公式为其特例。按有效应力法与总应力法对土压力的计算公式进行了推导与分析,同时与已有文献的实例进行了对比分析。结果表明,得出的解答具有广泛代表性。     

高职学生心理健康状况调查分析

大学生心理健康是高职院校教育与管理工作中的重要内容，在学生成长成才中具有特殊的地位和作用。天津职业大学通过对新生进行心理健康状况的普查，发现学生中存在心理障碍的现状并加以分析、研究，由此引出教育管理方面的对策与建议。     

奇异函数激励下解法的探讨

冲激函数和普通函数不同，它不能用传统的数理逻辑去理解，它是一个奇异函数，用来解决工程技术上的实际问题。介绍了一种物理概念明确，易于掌握的冲激函数作用于电容电路或电感电路时的求解方法。     

体育舞蹈选项体育课教学对大学生身心健康影响的研究

通过参与体育舞蹈选项体育课教学的学生教学前后身体素质、心理健康的对比分析，发现体育舞蹈选项体育课教学对学生心理健康有较好的促进作用。但对学生身体素质的发展、促进学生身体健康方面效果不明显。     

Blind separation of sources in nonlinear convolved mixture based on a novel network

Blind separation of independent sources from their nonlinear convoluted mixtures is a more realistic problem than from linear ones. A solution to this problem based on the Entropy Maximization principle is presented. First we propose a novel two-layer network as the de-mixing system to separate sources in nonlinear convolved mixture. In output layer of our network we use feedback network architecture to cope with convoluted mixtures. Then we derive learning algorithms for the two-layer network by maximizing the information entropy. Based on the comparison of the computer simulation results, it can be concluded that the proposed algorithm has a better nonlinear convolved blind signal separation effect than the H.H. Y' s algorithm.     

基于信息融合的汽车防撞决策系统研究

研究并提出了基于多传感器信息融合的动态目标跟踪算法来实现防撞系统的信息获取，并引入预测残留误差来修正跟踪残留误差不能完全反映不可预测的信息所带来的误差；研究了驾驶过程状态信息的表达方法，建立了汽车一环境状态特征模型，描述了汽车在行驶过程中时变动态的驾驶状态。在此基础之上，利用模糊积分方法融合多种相关信息，确定汽车应采用的安全运行模式，实现主动安全防撞决策。     

基于扰动观测器的伺服控制器设计及仿真研究

利用扰动观测器减弱系统的量测噪声和外部扰动,利用抗漂移的状态反馈控制器来减弱驱动饱和的影响,将这两种策略综合用于伺服控制器的设计并重点对这种方案进行了仿真对比研究。仿真结果表明基于扰动观测器的伺服系统在扰动及量测噪声不大,且系统模型参数变化不大的情况下具有较高的动态性能及较高的跟踪精度并能克服饱和约束的不良影响。     

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.     

气体分子系统动态过程的微机辅助研究

用数组模拟气体分子系统,用数组元素取值的变化模拟系统状态的变化是一种可行的微机辅助研究系统动态过程的方法,本文给出了利用这种方法得出的若干结果。