当代博物馆建筑"事件"设计趋势研究

当代博物馆十分重视场所和内容的策划,希望能通过"事件"来丰富博物馆的经历,增加其吸引力.文章重点关注了这种"事件"策略下,当代博物馆建筑的回应,通过案例分析和总结了当代博物馆建筑"事件"设计的四种类型,提出博物馆建筑"事件"设计适应了当代博物馆的经营理念和发展趋势,是博物馆建筑师们应该研究的重要课题.     

基于语义Web技术的油（气）井监视用例的介绍与评价

对于与监测、监控和优化相关的大量的工作流程而言,事件信息是非常有价值的。一个事件的主要属性,包括其类型、发生时间、受事件影响的实体、事件发生前、中、后实体的状态,以及该事件与其他事件之间的关系。这里总结了使用语义Web技术开发油（气）井监视软件的经验,通过探讨语义Web技术的实用性和适用性,建立了事件建模与分析系统,在事件建模的基础上,用语义网规则语言（SWRL）来表示有关事件关系的知识,事件之间的关系可使用现成的规则引擎自动推断得到。研究的目的是通过开发语义Web技术这一具有前景的方法,为数据处理领域事件建立具有可扩展性和可维护性的系统。     

Consideration of metals levels in identifying CSO abatement options

Levels of total metals (Pb, Cu, Zn, Cr, Ni) from samples in Buffalo, NY, were generally higher in combined sewage than sanitary flow. Sewer separation should therefore be considered carefully when choosing combined sewer overflow (CSO) abatement options. The first flush phenomenon was typically observed for sampled CSO events and first flush control may be effective in reducing receiving water impacts. Event mean concentration is often used for runoff quality evaluation, without consideration of concentration variability. The Weibull and lognormal distributions best fit the event mean concentration data and could be used to assess contaminant loading variability.     

Event sorting methods of γ-ray spectroscopic data

The paper presents several sorting methods of γ-ray events which were implemented in the data acquisition, processing and visualization system, developed at the Institute of Physics of the Slovak Academy of Sciences. The sorting methods using various shapes of gates (conditions) are presented, including rectangular windows, polygons, gates defined by arithmetic functions, spherical, ellipsoidal and composed gates. The examples illustrating the use of these methods are presented as well.     

A preliminary coupled MT-GA model for the prediction of highway runoff quality

Pollutants accumulated on road pavement during dry periods are washed off the surface with runoff water during rainfall events, presenting a potentially hazardous non-point source of pollution. Estimation of pollutant loads in these runoff waters is required for developing mitigation and management strategies, yet the numerous factors involved and their complex interconnected influences make straightforward assessment impossible. Data-driven models (DDMs) have lately been used in water and environmental research and have shown very good prediction ability. The proposed methodology of a coupled MT-GA (model tree-genetic algorithm) model provides an effective, accurate and easily calibrated predictive model for EMC (event mean concentration) of highway runoff pollutants. The models were trained and verified using a comprehensive data set of runoff events monitored in various highways in California, USA. EMCs of Cr, Pb, Zn, TOC and TSS were modeled, using different combinations of explanatory variables. The models' prediction ability in terms of correlation between predicted and actual values of both training and verification data was mostly higher than previously reported values. Sensitivity analysis was performed to examine the relative significance of each explanatory variable and the models' response to changes in input values.     

概率距离在联机汉字识别中的应用

借助概率理论，将汉字信息看成随机事件，提出了概率距离的概念。概念距离依据事件的稳定性决定事件对识别距离的影响力，并以此为依据实现了在识别过程中的特征选择。经试验分析，有很好的效果，已将识别率提高了8个百分点。     

SOC分析研究

阐述了SOC的定义，探讨了SOC与NOC之间的关系，详细分析了SOC应该具备的功能，对SOC的核心一安全事件关联进行了深入的研究，在此基础上给出了一个安全事件关联分析示例。     

Comparison of methods to extract an asymmetry parameter from data

Several methods to extract an asymmetry parameter in an event distribution function are discussed and compared in terms of statistical precision and applicability. These methods are: simple counting rate asymmetries, event weighting procedures and the unbinned extended maximum likelihood method. It is known that weighting methods reach the same figure of merit (FOM) as the likelihood method in the limit of vanishing asymmetries. This article presents an improved weighting procedure reaching the FOM of the likelihood method for arbitrary asymmetries. Cases where the maximum likelihood method is not applicable are also discussed.     

MC-ORACLE: A tool for predicting Soft Error Rate

Natural radiation is known to be a source of microelectronics failure. For instance, neutrons, protons, heavy ions, and alpha particles have all been implicated in the occurrence of soft errors in memory devices. To predict the reliability of electronics devices we developed a tool called MC-ORACLE. This Monte Carlo application is based on the common empirical soft error criterion for a critical charge deposited in a parallelepiped sensitive volume. MC-ORACLE is able to deal with complex structures composed of various materials. It provides single and multiple error cross sections as well as the soft error rate.