Semantic Transparency,Brain Monitoring and Evaluation of Hybrid Cognitive Architectures

In constructing hybrid systems, there is a need for a principled basis to determine the relative roles or functions of artificial neural network and symbolic approaches. The primary objective of the work to be reported is the construction of a conceptual and methodological framework that permits an iterative sequence in which a hybrid model predicts the basis of cognitive performance and an objective analysis of performance provides empirical data, evaluating (and thus constraining) the structure and processes of the model. In seeking a linkage between a hybrid model of cognition and human performance the concept of “semantic transparency” has been adopted, since it can be used in analyzing and describing both the chracteristics of a model of cognition and the processes underlying human performance. An overview of a specific, ”strong” hybrid architecture is presented. The characteristics of the virtual machines which compose it and the nature of their interaction are illustrated. An approach to the questions of evaluation is described based on empirical data obtained by brain monitoring of subjects during cognitive performance.     

Cure monitoring of thermoset coatings

The combination of favorable features of tensile mode dynamic mechanical analysis and torsional braid analysis leads to a useful method for cure monitoring of thermoset coatings. This sensitive technique allows the observation of cure reactions over a wide time and temperature range, thus including gelation and long-term curing in one measurement. Isothermal baking can be simulated realistically, since evaporation of volatile compounds like solvents or blocking agents is not hindered and the sample film is in direct contact with the heating atmosphere. Examples are given showing the cure behavior of automotive clear coats and electro coats depending on parameters like crosslinker type and catalytic agents.     

A survey of nitrate and nitrite content of fruit and vegetables grown in Slovenia during 1996-2002

Monitoring of nitrate (NO₃^-) and nitrite (NO₂^-) content in agricultural products in Slovenia has been carried out since 1996. The results of monitoring over the period 1996-2002 are presented. During this time 924 samples of 14 different agricultural products (potato, lettuce, apples, carrot, silage maize, cabbage, grapes, peaches, string beans, cereals, pears, cucumbers, strawberries and tomato) were analysed. The samples were taken at the time of maturity directly from growing sites and they were analysed using segmented flow analysis. The average nitrate contents were the highest in lettuce (1074 mg kg^-1), cabbage (881 mg kg^-1), string beans (298 mg kg^-1) and carrot (264 mg kg^-1), and they were moderately high in potato (158 mg kg^-1), silage maize (122 mg kg^-1), strawberries (94 mg kg^-1), cucumbers (93 mg kg^-1) and cereals (49 mg kg^-1). Low nitrate contents (below 6 mg kg^-1) were found in fruit (grapes, peaches, apples and pears) and tomato. With the exception of cereals (8.9 mg kg^-1), apples (1.5 mg kg^-1), potato (1.2 mg kg^-1) and pears (1.0 mg kg^-1) the content of nitrites did not exceed 0.5 mg kg^-1. It may be concluded that the results of the monitoring were in most cases similar to the results of investigations obtained in other countries.     

大伙房水库渗流监测自动化系统建设经验

介绍了大伙房输水工程重要的配套工程——大伙房水库渗流监测自动化系统的设计方法与实施过程，阐明了测位选布与工程衔接、方便系统维护与运行等问题，实现了与原观测系统的设计选点、施工建设、应用开发及数据处理过程等的配合，在保证系统原观测成果连续、设备运行稳定、与其他系统协调友好、施工过程不冲突和不重复的基础上，很好地实现了由传统监测向自动化监测的过渡。     

基坑施工的监测探讨

通过对监测的目的、点位的选择、对象的确立、项目的选定、信息的反馈以及监测成果的应用等六个方面的分析，指出基坑施工监测成果对优化工程设计、降低工程费用、指导基坑施工等都起到十分重要的作用，值得推广。     

深基坑施工安全的监测与实例

从明确深基坑施工安全监测的关键出发，确定了监测内容和相关极限报警值，用工程实例进行了阐述。     

网络化永久性油气藏远程动态实时监测系统设计

本文设计了一种应用于油气藏永久性实时动态监测系统。该系统用光纤Bragg光栅(FBG)传感器作为井下永久性传感器,测量目的层的温度、压力等参数的模拟信号;在井口建立数据采集处理系统,将模拟信号解调成数字信号;通过GPRS无线移动通信网络传输到监测中心的数据库服务器上,并以Web形式发布到Internet网络上,同时提供移动用户浏览接口,且当数据异常时可以发送报警短消息。该系统实现了油气藏的远程实时动态监测,可以为油藏管理人员和技术人员及时、准确地做出决策提供可靠依据。     

苯和甲苯差分吸收光谱方法的实验室测量研究

本文介绍了差分光学吸收光谱法(DOAS)测量大气污染气体浓度的基本原理。DOAS方法就是利用氙灯发出的紫外—可见光，经望远镜准直后再经过一段距离的传输，由望远镜来接收．在传输中，由于各种不同的分子在不同的波段对光有不同的吸收特征，使光谱具有了污染物的特征，再通过与光源发出的光进行比较，反演这些气体在大气中浓度．我们将DOAS方法应用在监测有机物上，在分析光谱的过程中，应用多项式拟合和最小二乘法，从而精确地从测量光谱中来反演出大气中污染气体的浓度．文中用DOAS方法测量了苯和甲苯的样品，并分析了结果，结果和理论吻合．可为环境中有机污染物监测提供可靠的方法。     

Water quality surveys: A statistical method based on determinism, quantiles and the binomial distribution

A statistical method for surveying water quality and analysing the results in terms of quantiles is described. The value of a water quality variable in a grab-sample is taken as a deterministic function of the temporal and spatial coordinates of the sampling point. Quantiles can then be defined for any specified region in time and space as unique, fixed values, and randomly located grab-samples may be used to estimate them for the purposes of describing or regulating water quality. Robust statistical inferences are possible using the binomial distribution. Properties of the quantiles, confidence limits, comparisons with fixed values or between regions, assessment of trends, simultaneous inferences and estimation of sample sizes are discussed. Two examples of water quality surveys, one of Port Phillip Bay, the other of the Maribyrnong River, Victoria, are used to illustrate the theory, paying particular attention to practical problems which arose. The proposed method is compared with others based on stochastic models, and is claimed to be simpler and more reliable.     

十三陵蓄能电站上水库自动监测系统的设计及运行

由于十三陵蓄能电站上水库地处蟒山之巅，所在山体地质条件复杂。施工期埋设了大量的监测仪器，原有人工监测系统效率低、资料分析的同步性差。2002年5月，对其进行了自动化改造，现已有一套符合其特点的自动化监测系统。十三陵上水库水工建筑自动监测系统已正常运行了三年，同时也存在着问题，有待于进一步的探讨和改进。