Advanced automation of a flow injection analysis system for quality control of olive oil through the use of a distributed expert system

A new methodology—based on the combination of flow injection analysis and a distributed expert system—is proposed for the on-line chemical quality control of olive oil. This knowledge-based system is in charge of carrying out the flow injection determination of total acidity, peroxide value, and UV spectrophotometric measurements (K₂₃₂ and K₂₇₀), according to EU legislation. On the other hand, the expert system, apart from supervising the correct functioning of the system (devices, clogging, analysis frequency, and so on), performs the definite classification of the analyzed oil by evaluating the oil quality from the values yielded, according to previously established specifications. Satisfactory results have been obtained in the application of this approach to different samples of Spanish olive oil along the storage process. The distributed expert system also allows for the remote control of the analysis process owing to the interconnection of the different nodes by means of a communication network.     

Removal of Phenol Dyes Using a Photocatalytic Reactor with SnO2/Fe3O4 Nanoparticles

In this study, we present kinetics of phenol dyes removal by SnO₂/Fe₃O₄ nanoparticles in a photocatalytic reactor for optimization of this process. The effect of different concentrations of SnO₂ 5, 10, 15, 20% w/w on the photocatalytic reactor during removal of phenol red was investigated. The SnO₂/Fe₃O₄ nanoparticles were synthesized by core–shell method. The results of XRD and TEM showed the successful synthesis of these nanoparticles. Several other methods were applied to synthesis of these nanoparticles but none of them succeeded. This process composed of two-stage. The first stage was absorption by iron oxide nanoparticles and second stage was photocatalytic by tin oxide nanoparticles that followed pseudo-second-order kinetic and first-order kinetic, respectively. Optimization of this process was done corresponding to the parameters affecting the process with design expert software. In order to determine the optimal values of each of the parameters and the optimal conditions of the process, parameters were introduced to response surface methodology.     

基于故障树的地铁屏蔽门故障诊断专家系统的设计

在地铁屏蔽门系统的故障诊断中,传统方法存在效率低、人工负担重等缺陷。为此,设计了基于故障树的故障诊断专家系统。先用屏蔽门的资料构建出扩展故障树,然后使用早期不交化和模块化等方法将其简化成基本故障树,求出最小割集。在故障树的基础上,设计了专家系统的知识获取和表示机制,建立了知识库。在构建推理机时,采用了双向推理、全自动推理、半自动推理、人工回溯等策略,提高了诊断效率和可信度。该系统可与综合监控系统进行接口,能对相关信息进行推理分析,对潜在故障进行预警,对已发生故障进行快速定位和诊断,出具故障报告和处理建议书,并提供故障模拟及培训功能。试用者的反馈意见表明该系统具有较好的实用价值。     

Use of Knowledge Bases and QSARS to Estimate the Relative Ecological Risk of Agrichemicals: A Problem Formulation Exercise

Abstract

Ecological risk assessments can be used to establish the likelihood that an adverse effect will result from exposure to one or more chemicals. When evaluating contaminated sites with many chemicals present, risk assessors must grapple with the problem of quickly identifying the chemicals that are most likely to be of concern, based on effect and exposure assessment information. Many times data gaps exist and the risk assessor is left with decisions on which models to use to estimate the parameter of concern. In the present paper, a procedure is presented for ranking agrichemicals, utilizing the ASTER (ASsessment Tools for the Evaluation of Risk) system. The procedure was employed to rank the relative ecological risk of forty-nine pesticides historically used in agricultural sites in the Walnut Creek watershed near Ames, Iowa, USA. Empirical data from the ASTER system were used when available in the associated data-bases, and quantitative structure-activity relationships and expert systems were invoked when data were lacking. Separate rankings were conducted based on major species taxonomic groupings. Resulting toxic effects thresholds were compared to surface water concentrations.     

Knowledge representation and acquisition in expert systems for pattern recognition

A new approach to the design of fuzzy expert systems is proposed. The representation of knowledge and the formation of statements by fuzzy logic tools are discussed in detail. A model of fuzzy inference is described. Primary attention is given to automatic extraction of knowledge (fuzzy inference rules) from a set of precedents. Various performance criteria for rules are introduced, and an algorithm for their generation (the method of effective restrictions) is proposed. An extension of the type of admissible rules by introducing a fuzzy disjunction operation is described. The possibility of optimizing the rules found is explored. The benefits of the approaches proposed are illustrated by experiments.     

An interactive approach for Bayesian network learning using domain/expert knowledge

Using domain/expert knowledge when learning Bayesian networks from data has been considered a promising idea since the very beginning of the field. However, in most of the previously proposed approaches, human experts do not play an active role in the learning process. Once their knowledge is elicited, they do not participate any more. The interactive approach for integrating domain/expert knowledge we propose in this work aims to be more efficient and effective. In contrast to previous approaches, our method performs an active interaction with the expert in order to guide the search based learning process. This method relies on identifying the edges of the graph structure which are more unreliable considering the information present in the learning data. Another contribution of our approach is the integration of domain/expert knowledge at different stages of the learning process of a Bayesian network: while learning the skeleton and when directing the edges of the directed acyclic graph structure.     

基于LRS-Ⅲ型拉曼光谱仪检测黑色笔迹

拉曼光谱技术是一种发展时间不长的可靠的检测技术手段,能实现非破坏性物质鉴定。目前,发达国家已将该项技术应用于法庭中。本研究利用拉曼光谱仪对黑色字迹进行鉴定,为鉴别各种黑色笔迹提供科学依据。     

专职修理工多重休假且修理设备可更换的k/n(G)表决系统研究

讨论专职修理工多重休假,修理设备可发生失效且可更换的k/n（G）表决可修系统.当系统中没有故障部件时,专职修理工开始一次休假,在此期间,若有工作部件发生故障,则立即指派普通修理工修理故障部件,一直持续到系统中无故障部件或专职修理工休假回来.利用马尔可夫过程理论和矩阵解法,给出了系统瞬态和稳态下的可用度和故障频度、可靠度、系统首次故障前的平均时间、修理设备处于更换状态的概率等指标的表达式.在此基础上,基于不同的初始条件研究了相关指标随时间的变化情况.最后,特殊情形的讨论验证了所得结果的正确性.     

User-model interaction in decision support systems for risk management

This paper describes and evaluates three different approaches to building decision support systems: the Operations Research/Management Science approach, the Decision Analysis/Multiattribute Utility approach, and the Artificial Intelligence/Expert Systems approach. It evaluates the usefulness of the three approaches for risk management. In particular, it defines evaluation objectives of risk analysts, risk managers, and laypeople and provides a subjective assessment how the three approaches stack up against their objectives. The paper concludes that for most risk management applications a combination of the three approaches would be most desirable.This paper was written under contract No. 2709-85-05 ED ISP D of the European Atomic Energy Community, Commission of the European Communities, Joint Research Centre, Ispra Establishment, Ispra, Italy to the Gemeinschaft für Entscheidungs- und Risikoanalyse, Berlin, West Germany. It was prepared for presentation at the Conference on Operations Research and Multiattribute Decision Analysis held in Passau, April 20–26, 1986. The views and opinions expressed in this paper are solely those of the author.     

工程结构有限元模型化知识系统

有限元模型比知识的获取和形式化是有限元模型化专家系统建立的核心。本文以信息论为工具,在总结大量工程经验和理论研究成果的基础上,建立了工程结构模型化知识系统,它分为两个层次,一是复杂结构模型化,二是简单结构模型化。后者是前者的基础,包括力学模型化、有限元模型化和网络生成三部分。这些知识均已溶人了作者开发的专家系统之中。