69 research outputs found

    DIAMS revisited: Taming the variety of knowledge in fault diagnosis expert systems

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    The DIAMS program, initiated in 1986, led to the development of a prototype expert system, DIAMS-1 dedicated to the Telecom 1 Attitude and Orbit Control System, and to a near-operational system, DIAMS-2, covering a whole satellite (the Telecom 2 platform and its interfaces with the payload), which was installed in the Satellite Control Center in 1993. The refinement of the knowledge representation and reasoning is now being studied, focusing on the introduction of appropriate handling of incompleteness, uncertainty and time, and keeping in mind operational constraints. For the latest generation of the tool, DIAMS-3, a new architecture has been proposed, that enables the cooperative exploitation of various models and knowledge representations. On the same baseline, new solutions enabling higher integration of diagnostic systems in the operational environment and cooperation with other knowledge intensive systems such as data analysis, planning or procedure management tools have been introduced

    Form Follows Function: Advances in Trilayered Structure Replication for Aortic Heart Valve Tissue Engineering

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    Possibility theory in "Fault mode effect analyses". A satellite fault diagnosis application

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    International audienceMatra Marconi Space (MMS) has been developing spacecraft diagnostic support systems for eight years. Keeping in mind the operational constraints of scale and efficiency that guided the design of the first systems, the reasoning paradigms are now refined, in order to improve the solutions. The FMECA, Fault Mode Effects and Criticality Analyses, form a very important category of knowledge compiled during the design phase of a satellite, and used also for diagnosis activities. This paper proposes their extension, allowing a finer representation of the available knowledge, at approximately the same cost, through the introduction of an appropriate representation of uncertainty and incompleteness based on possibility theory. Efficient discriminization techniques exploiting uncertain observations are introduced, and an example illustrates the mechanisms involved in this approach

    Relational approach to fault diagnosis based on a functional model

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    International audienceMatra Marconi Space has been developing operational expert systems for spacecraft fault diagnosis using hybrid approaches, including techniques related to model based approach and fault trees. Keeping in mind the operational constraints of exhaustivity and efficiency that guided the initial choices, the reasoning paradigms developed are now refined, to improve the solutions reached. The paper describes some of the techniques implemented so far, and proposes extensions to the relational approach to automated diagnosis, in order to include more of the available knowledge to refine the representation of influences, by distinguishing certain and possible influence

    Expert Level Control of Ramp Metering Based on Multi-Task Deep Reinforcement Learning

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    Crypt4GH: a file format standard enabling native access to encrypted data

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    Motivation: The majority of genome analysis tools and pipelines require data to be decrypted for access. This potentially leaves sensitive genetic data exposed, either because the unencrypted data is not removed after analysis, or because the data leaves traces on the permanent storage medium. Results: We defined a file container specification enabling direct byte-level compatible random access to encrypted genetic data stored in community standards such as SAM/BAM/CRAM/VCF/BCF. By standardizing this format, we show how it can be added as a native file format to genomic libraries, enabling direct analysis of encrypted data without the need to create a decrypted copy. Availability: The Crypt4GH specification can be found at: http://samtools.github.io/hts-specs/crypt4gh.pdf.This work was supported by the following grants: Wellcome (100956/Z/13/Z, 201535/Z/16/Z, 206194) [TMK, AS, RD], Strategic Focal Area “Personalized Health and Related Technologies (PHRT)” of the ETH Domain #2017-201 [JTP], European Joint Programme on Rare Diseases (EJP-RD) #825575 [FH], and NHMRC grant #1113531 and the Medical Research Future Fund [OH

    Model checking race-freeness

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