State observability and condition observability for a class of interacting discrete event systems

This paper introduces the concepts of state observability and condition observability for condition systems, a class of systems composed of discrete state components which interact via discrete binary signals called conditions. Given a set of externally observed conditions, state observability implies that the state of the system can be determined from the observations, and condition observability implies that all unobserved input and output conditions of the system can be determined from the observations. In this paper, we present a class of systems which is state observable and condition observable. We present a method to synthesize an observer system to provide state and condition signal estimates for a single component subsystem.     

Holmium-doped Porous Silicon Prepared by a New Electrochemical Approach and Its Photoluminescence

Ｐｏｒｏｕｓｓｉｌｉｃｏｎ（ＰＳ）ｗａｓｆｏｕｎｄｔｏｅｍｉｔｖｉｓｉｂｌｅｌｕｍｉｎｅｓｃｅｎｃｅａｔｒｏｏｍｔｅｍｐｅｒａｔｕｒｅｂｙＣａｎｈａｍｉｎ１９９０［１］．Ｔｈｉｓｐｈｅｎｏｍｅｎｏｎｉｍｐｌｉｅｄａｐｏｔｅｎｔｉａｌａｐｐｌｉｃａｔｉ...     

诱导结晶条件下硅酸盐水泥熟料形成动力学的研究

根据诱导结晶的原理，我们提出了用已烧好的同类优质熟料作为晶种，诱导水泥烧成过程中的矿物形成。用掺与不掺对比的方法，利用现代物理、化学手段进行了研究。结果表明：明显提高了生料的易烧性；使ｆ－ＣａＯ明显下降；水泥熟料形成的活化能降低；刚分解的ＣａＯ在晶种表面富集；加快了各个阶段的固相反应；加快了熟料矿物形民；熟料矿物质量有所提高；并使ｆ－ＣａＯ的结构特征上发生了易于消解的变化。     

A simple method for determining the Weibull estimator

Abstracts are not published in this journal This revised version was published online in November 2006 with corrections to the Cover Date.     

Ill-conditioned performance functions of queueing systems

Shows that for queueing networks with deterministic or discrete service time distributions, the performance functions can be nondifferentiable at a dense subset of a given interval. The authors also show that when the service time densities are supported on small intervals, the performance function derivatives changes rapidly. The authors prove these results for a two-server cyclic network and then point out a potential generality to other queueing networks. The results indicate that the nonsmooth analysis may be useful in the area of stochastic discrete-event systems     

松材线虫病害高光谱时序与敏感特征研究

采用高光谱仪ASD FieldSpec Pro FR,连续观测了健康和发病马尾松针叶的时序高光谱,分析了松材线虫病害光谱的时序特征、敏感时期和敏感特征。结果表明:与健康马尾松相比,病害马尾松时序光谱差异较大;病害首先造成红边区域内光谱反射率减低,然后再出现红边蓝移的2阶段光谱变化规律;感染松材线虫的马尾松9月初已经出现了病态植被典型的光谱特征;近红外平台内最大的一阶微分值、红边内一阶微分的总和(SDr)与蓝边内一阶微分的总和(SDb)的比值等是指示病害发生的显著性高光谱特征。     

应用于矿井LED电子显示牌的点阵式绘图软件设计

针对矿井LED电子显示牌采用矢量图技术绘图存在的图形绘制不精确、可视性差等问题,提出一种可应用于不同型号电子显示牌的点阵式绘图软件设计方案,介绍了该软件的总体设计及BMP图像的灰度化步骤。点阵式绘图软件基于组件的设计理念,实现了所见即所得的绘图功能、文字点阵转换功能、BMP图片导入/转换功能、ICO图标导入/导出功能、模拟显示功能及对外通用接口功能。比较发现,采用点阵式绘图软件绘制的原始图形及实际显示效果均明显好于采用矢量图技术绘制的图形。     

在CodeWarrior编译环境下运行μC／OS—Ⅲ

μC／OS-Ⅱ是面向8／16位及低端32位单片机应用的RTOS,而新近推出的μC／OS-Ⅲ则面向高性能32位单片机,如ARMCortex等。以Cortex—M4为内核的Kinetis系列单片机,不仅用于全国大学生飞思卡尔杯智能车竞赛,也用于诸多大学的嵌入式系统教学,官方提供的开发环境是CodeWarrior。本文介绍如何利用CodeWarrior开发环境,将μC／OS-Ⅲ在Kinetis单片机上运行起来,以便将μC／OS-Ⅲ引入教学、科研与应用。     

Retraction of “Developing an integrated display of health data for aging in place”

The following article from Human Factors and Ergonomics in Manufacturing & Service Industries, “Developing an Integrated Display of Health Data for Aging in Place,” by Yang Gong and Arpita Chandra, published online on October 20, 2011 in Wiley Online Library ( www.onlinelibrary.wiley.com ), has been retracted by agreement between the authors, the journal Editors‐in‐Chief, Waldemar Karwowski and Gavriel Salvendy, and Publisher Wiley Periodicals, Inc. The retraction has been agreed as these articles were mistakenly published after being rejected.     

Interactive genetic algorithms with large population and semi-supervised learning

Interactive genetic algorithms are effective methods of solving optimization problems with implicit (qualitative) criteria by incorporating a user's intelligent evaluation into traditional evolution mechanisms. The heavy evaluation burden of the user, however, is crucial and limits their applications in complex optimization problems. We focus on reducing the evaluation burden by presenting a semi-supervised learning assisted interactive genetic algorithm with large population. In this algorithm, a population with many individuals is adopted to efficiently explore the search space. A surrogate model built with an improved semi-supervised learning method is employed to evaluate a part of individuals instead of the user to alleviate his/her burden in evaluation. Incorporated with the principles of the improved semi-supervised learning, the opportunities of applying and updating the surrogate model are determined by its confidence degree in estimation, and the informative individuals reevaluated by the user are selected according to the concept of learning from mistakes. We quantitatively analyze the performance of the proposed algorithm and apply it to the design of sunglasses lenses, a representative optimization problem with one qualitative criterion. The empirical results demonstrate the strength of our algorithm in searching for satisfactory solutions and easing the evaluation burden of the user.