946 resultados para Expert Witness


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An algorithm for enumeration of stereoisomers due to asymmetric carbon, C=C double bond and so on has been developed. It consists of three steps. The output of stereoisomers can be represented by 2.5-dimensional connection table.

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An expert system for the elucidation of the structures of organic compounds-ESESOC-II has been designed. It is composed of three parts: spectroscopic data analysis, structure generator, and evaluation of the candidate structures. The heart of ESESOC is the structure generator, as an integral part, which accepts the specific types of information, e.g. molecular formulae, substructure constraints, and produces an exhaustive and irredundant list of candidate structures. The scheme for the structural generation is given, in which the depth-first search strategy is used to fill the bonding adjacency matrix (BAM) and a new method is introduced to remove the duplicates.

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An expert system for solvent extraction of rare earths has been developed using LISP. The goal of this project was to mimic the chemists' inferential abilities to assist in the process of solvent extraction of rare earths. The system includes frequently used extractants, separation of specific rare earths, recommendation of procedures for the separation of mixtures of rare earths using (2-ethylhexyl)phosphonic acid 2-ethylhexyl monoester, selection of parameters for counter-current extraction and methods for evaluation of the technique, and the economics of the processing. The expert system runs on an IBM-PC/XT.

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Conceitos: sistemas especialistas, Expert Sysyem Shell, Diagnose remota, AppLets, ServLets. Ambiente de diagnose remota e motivação de mudança. Ferramentas estudadas: WebLS. JESS, CLIPS, WebCLIPS, quadros comparativos.

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Flasinski M. and Lee M.H., The Use of Graph Grammars for Model-based Reasoning in Diagnostic Expert Systems, Prace Informatyczne, Zeszyty Naukowe Uniwersytetu Jagiellonskiego, 9, 1999, pp147-165.

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sermon text; MS Word document

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Memorial Sermon preached in memory of the Rev. Walter Gardner Webster

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This dissertation analyzes the theological and ethical convictions that led the people of the Plateau Vivarais-Lignon to shelter thousands of refugees between 1939 and 1945. It does so by examining the themes of narrative identity, hospitality, character formation, nonviolence, and the contextual witness of church tradition. Though a number of studies have been published about the rescue activity in this region of France during World War II, none have thoroughly analyzed the theological nature of this activity. Using the Plateau Vivarais-Lignon as a case study in theological ethics, the dissertation draws on historical sources as well as the work of contemporary theologians and ethicists to understand, interpret, and analyze the witness of this community. After situating its rescue and resistance work within the Huguenot narrative of persecution and exile, I examine the theological convictions of the Reformed pastor of Le Chambon-sur-Lignon, André Trocmé, who played a key role in making the Plateau a place of refuge during the Holocaust. The study highlights the importance of narrative in the actions of this community and discusses the relationship between narrative, character, and ethics. It then examines the nonviolent commitments of key leaders of the rescue effort, using this analysis as a springboard to engage in broader theological reflection about the ethics of nonviolence. After examining the radical hospitality practiced on the Plateau in light of biblical narratives and Reformed history, I investigate the counter-cultural nature of Christian hospitality. The study concludes by analyzing the nature and witness of the church in light of the legacy of the Plateau Vivarais-Lignon. The dissertation suggests that increased academic and ecclesial attention be given to the relationship between narrative and character, the counter-cultural shape of Christian hospitality, and the active nature of nonviolence. It presents an in-depth analysis of the theological and ethical convictions of the people of the Plateau Vivarais-Lignon, arguing that their witness has ongoing significance for communities of faith as they grapple with how to form disciples, relate to the wider society, welcome strangers, and communicate God's shalom in a world of violence.

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A new family of neural network architectures is presented. This family of architectures solves the problem of constructing and training minimal neural network classification expert systems by using switching theory. The primary insight that leads to the use of switching theory is that the problem of minimizing the number of rules and the number of IF statements (antecedents) per rule in a neural network expert system can be recast into the problem of minimizing the number of digital gates and the number of connections between digital gates in a Very Large Scale Integrated (VLSI) circuit. The rules that the neural network generates to perform a task are readily extractable from the network's weights and topology. Analysis and simulations on the Mushroom database illustrate the system's performance.

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A set of 13 US based experts in post-combustion and oxy-fuel combustion CO2 capture systems responded to an extensive questionnaire asking their views on the present status and future expected performance and costs for amine-based, chilled ammonia, and oxy-combustion retrofits of coal-fired power plants. This paper presents the experts' responses for technology maturity, ideal plant characteristics for early adopters, and the extent to which R&D and deployment incentives will impact costs. It also presents the best estimates and 95% confidence limits of the energy penalties associated with amine-based systems. The results show a general consensus that amine-based systems are closer to commercial application, but potential for improving performance and lowering costs is limited; chilled ammonia and oxy-combustion offer greater potential for cost reductions, but not without greater uncertainty regarding scale and technical feasibility. © 2011 Elsevier Ltd.