Reutilization of diagnostic cases by adaptation of knowledge models.

International audienceThis paper deals with design of knowledge oriented diagnostic system. Two challenges are addressed. The first one concerns the elicitation of expert practice and the proposition of a methodology for developing four knowledge containers of case based reasoning system. The second one concerns the proposition of a general adaptation phase to reuse case solving diagnostic problems in a different context. In most cases, adaptation methods are application-specific and the challenge in this work is to make a general adaptation method for the field of industrial diagnostics applications. This paper is a contribution to fill this gap in the field of fault diagnostic and repair assistance of equipment. The proposed adaptation algorithm relies on hierarchy descriptors, an implied context model and dependencies between problems and solutions of the source cases. In addition, one can note that the first retrieved case is not necessarily the most adaptable case, and to take into account this report, an adaptation-guided retrieval step based on a similarity measure associated with an adaptation measure is realized on the diagnostic problem. These two measures allow selecting the most adaptable case among the retrieved cases. The two retrieval and adaptation phases are applied on real industrial system called Supervised industrial system of Transfer of pallets (SISTRE)

Proceedings of the Fifth European Workshop on Probabilistic Graphical Models

Peer reviewe

An empirical study of Bayesian network parameter learning with monotonic influence constraints

The authors would like to thank the editor and two anonymous reviewers and for their valuable feedback. This work is supported by the European Research Council (ERC-2013-AdG339182-BAYES-KNOWLEDGE) and the China Scholarship Council (CSC)/Queen Mary Joint PhD scholarships. YZ and CZ are supported by and National Natural Science Foundation of China (61273322, 71471174)

A knowledge engineering approach to the recognition of genomic coding regions

ได้ทุนอุดหนุนการวิจัยจากมหาวิทยาลัยเทคโนโลยีสุรนารี ปีงบประมาณ พ.ศ.2556-255

Creating signed directed graph models for process plants

The identification of possible hazards in chemical plants is a very important part of the design process. This is because of the potential danger that large chemical installations pose to the public. One possible route for speeding up the identification of hazards in chemical plants is to use computers to identify hazards automatically. This will facilitate safe plant design and will avoid late design changes which can be very costly to implement. Previous research at Loughborough has concentrated on developing a model-based approach and an analysis algorithm for automating hazard identification. The results generated have demonstrated the technical feasibility of the approach. This approach requires a knowledge-base of unit models. This library of models describes how different plant equipment behaves in qualitative terms. The research described in this thesis develops a method for creating and testing the equipment models. The model library was previously achieved by an expert writing the models in a format that could be directly used by the system described above. An engineer unfamililar with the system would find this difficult. An alternative method would have been to use an intermediary (a knowledge engineer) to gather information from the engineer and convert it into the system format. This would be expensive. Both methods would take up a lot of the engineer's time. An engineer should be able to enter information personally in order to maintain efficiency and avoid information loss through the intermediary. A front end interface has been built to the system which enables an expert to enter information directly without needing to understand details of the application system. This interface incorporates ideas from the knowledge acquisition field in order to produce a tool that is simple to use. Unit-based qualitative modelling can lead to incorrect or ambiguous inference. The method developed here identifies situations where ambiguities may arise. A new modular approach is presented to overcome this type of problem. This method also presents a technique to verify that the models created are both complete and correct

Aerospace medicine and biology: A continuing bibliography with indexes, supplement 130, July 1974

This special bibliography lists 291 reports, articles, and other documents introduced into the NASA scientific and technical information system in June 1974

To what extent can knowledge management systems build and reinforce consensus around initiatives for change?: A self-reflective analysis of professional practice

This thesis reports on my attempts to \u27re-align\u27 the purpose, behaviour and underlying culture of a large military organisation through heuristic, self reflective enquiry - to \u27find its future\u27 - with and through its people. I use the word re-align with great care as I recognised that change would have been too ambitious and would (probably have) result(ed) in failure. Whilst I cannot claim total success, I have made new and valuable discoveries in knowledge elicitation and methods of integrating the views of a large number of people to \u27build and reinforce consensus around initiatives for change\u27. In the process of completing this research I developed a novel approach to strategic planning/policy making that advances the ends, ways and means construct of decision-making into a purer and more refined approach. One that anchors these elements firmly to the organisation and its environment simultaneously through a knowledge management system, enabling the strengths and weaknesses within the organisation to be drawn into sharp focus - an effects based planning approach. I have also fused together the more systematic and disciplined approaches embodied within a knowledge management system with existing and more creative scenario planning/future focussed methods. Thus allowing organisations to undertake \u27self-constructed\u27 audits that have an immediate interest or are situated well into their future, doubling its value as a planning device. As I report, the methods have been presented at the highest levels of Defence, attracting interest from the Australian Minister of Defence. The New Zealand Defence Force, Naval Warfare Development Command of the United States Navy and Australia\u27s Chief of Air Force have also expressed an interest in the potential of an effects-based orientation to planning and policy-making. Whether the concepts and underpinning ideas become established, leading to the discovery of a post-modem military is uncertain. What is clear is that there is a definite move away from a pre-occupation with the means, or the things that are done, towards a more comprehensive understanding of what are we trying to make happen as a guiding principle. This is certainly of value within military \u27organisations and has potential for others involved in complex problem-solving in social settings. A heuristic, self-reflective approach has enriched this search for focussed and \u27change-finding\u27 knowledge, allowing a more purposeful, complete and forthright account of the involvement of others

Towards operationalising an ecosystem approach to the Namibian rock lobster fishery : identifying management objectives and indicators

Includes bibliographical references (p. 77-84).The World Summit on Sustainable Development (WSSD) Plan of Implementation encourages the implementation of an Ecosystem Approach to Fisheries (EAF) management by 2010. Signatory countries, which include Namibia, have adopted this as being necessary for the sustainable use of their marine resources. However, there has been little progress made towards developing simple structured guidelines for implementing an EAF within fisheries management organisations. As part of an EAF project implemented by the BCLME (Benguela Current Large Marine Ecosystem) programme, a series of Ecological Risk Assessments (ERA) were conducted for selected fisheries, which focussed on identifying all major issues related to EAF that are not adequately addressed by present management strategies. This methodology was repeated for the Namibian Rock Lobster fishery. Highly prioritised issues from the workshop were used to construct causal maps and value trees, for which indicators were suggested in consultation with stakeholders. The results of the ERA confirmed that there is a severe lack of transparency and shared understanding among stakeholders in the Namibian Rock Lobster Fishery, which is causing high tension and user conflict within the fishery. However, the importance and strength of the ERA process was found to lie in the discussion that it facilitates amongst stakeholders. Causal maps proved very useful in placing perspective on the perceived problems associated with the current management of the Rock Lobster fishery and the hierarchical structuring of value trees proved extremely useful in facilitating the transparency of the process. A list of specific objectives and suggested indicators is presented here, but there remains paucity in the data that are needed to inform some of these suggested indicators. Thresholds for these suggested indicators are defined here and are needed for evaluating the indicators for combination into an overall evaluation of the implementation of an EAF in this fishery. Expert systems are suggested here as a good tool to do so through synthesizing information from a large number of indicators for the decision-making process and to readily incorporate updated information. The tentative set of indicators presented here needs further work. However, the results of the present thesis can be used in designing such a system, to the benefit of the Namibian Rock Lobster fishery and the ecosystem this fishery depends on