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  • Project partners
    partners Sunday 22 November 2009 20 12 Author Administrator The project partners are the following entities Industrial CEA Commissariat à l Energie Atomique Dassault Aviation EADS European Aeronautic Defence and Space Company EDF Electricité de France University ECP Ecole Centrale Paris INRIA Institut national de recherche en informatique et en automatique SUPELEC École supérieure d électricité UJF Université Joseph Fourier UP7 Université Paris 7 Small business Softia Prev Next Last

    Original URL path: http://www.opus-project.fr/index.php/anropusproject/projectpartners?el_mcal_month=11&el_mcal_year=2015 (2016-01-11)
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  • References (diff) – Opus Project
    Changes between Version 4 and Version 5 of References View differences inline side by side Show lines around each change Ignore Blank lines Case changes White space changes Timestamp 10 01 09 11 08 15 6 years ago Author pmpair Comment Legend Unmodified Added Removed Modified References v4 v5 60 60 wiki OT OpenTurns 61 61 62 http www opus project fr trac Retour 62 http www opus project fr

    Original URL path: http://www.opus-project.fr/trac/wiki/References?action=diff&version=5 (2016-01-11)
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  • FurtherOrganisation – Opus Project
    Last Change WP0 Coordination Communication Dissemination Further details WP1 User requirements Specifications Further details WP2 Développement de méthodes avancées Further details WP3 Validation Demonstration Further details WP4 Industrialisation Output durability Further details Back Download in other formats Plain Text Powered

    Original URL path: http://www.opus-project.fr/trac/wiki/FurtherOrganisation (2016-01-11)
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  • Salome – Opus Project
    is set in a context of priorities simultaneously calling for the integration of software components and architecture along with the development of new concepts for new objects It defines and creates a software architecture based on reusable components to build a generic CAD CAE link based on open software for digital simulation It ensures the continuity of a number of internal developments and the mutuality of non critical creations for the developers of numerical solving software both pre and post CAE It reduces training time to the specific training time for the encapsulated application It is the only realisation of its kind in the field of open software today The SALOME 2 project aims to improve the distribution of digital simulation software developed in France which are considered references in their application domains It provides them with a generic user friendly and efficient user interface which facilitates cost reduction and reduces the delays in performing studies It is a means of facilitating the linkage of code the reuse of portions of code the inter operability between simulation code and the CAD modelling software Nowadays SALOME is a free software that provides a generic platform for Pre and Post Processing for

    Original URL path: http://www.opus-project.fr/trac/wiki/Salome (2016-01-11)
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  • Scos – Opus Project
    investments are duplicated inside each organisation where many of them could be shared between multiple organisations Defining and promoting some common standards and normalize platforms and applications appears as the best way to face the international competitiveness need by saving a huge amount of time and money in the same time Validate once use as much as possible SCOS project has gathered 22 leading Industrial and Academic players in the

    Original URL path: http://www.opus-project.fr/trac/wiki/Scos (2016-01-11)
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  • R – Opus Project
    the vehicle of choice for research in statistical methodology and R provides an Open Source route to participation in that activity One of R s strengths is the ease with which well designed publication quality plots can be produced including mathematical symbols and formulae where needed Great care has been taken over the defaults for the minor design choices in graphics but the user retains full control R is available as Free Software under the terms of the Free Software Foundation s GNU General Public License in source code form It compiles and runs on a wide variety of UNIX platforms and similar systems including FreeBSD and Linux Windows and MacOS The R environment R is an integrated suite of software facilities for data manipulation calculation and graphical display It includes an effective data handling and storage facility a suite of operators for calculations on arrays in particular matrices a large coherent integrated collection of intermediate tools for data analysis graphical facilities for data analysis and display either on screen or on hardcopy and a well developed simple and effective programming language which includes conditionals loops user defined recursive functions and input and output facilities The term environment is intended to characterize it as a fully planned and coherent system rather than an incremental accretion of very specific and inflexible tools as is frequently the case with other data analysis software R like S is designed around a true computer language and it allows users to add additional functionality by defining new functions Much of the system is itself written in the R dialect of S which makes it easy for users to follow the algorithmic choices made For computationally intensive tasks C C and Fortran code can be linked and called at run time Advanced users can write C

    Original URL path: http://www.opus-project.fr/trac/wiki/R (2016-01-11)
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  • Project references
    appear only later on Hence nowadays several major partnerships at the international level ESREDA MUCM SAMSI or the French level IMdR have launched ambitious works to capitalise on uncertainty treatments into generic guides that would meet virtually any industrial need It aims at designing a common template to be followed as well as specific guidelines to methodology that might best fit the particular case typically according to the data and experts information availability model complexity and so on The genuine study cases considered in these projects all from different business areas illustrate a startling feature although the applications and physics involved are completely different the implicit mathematical structure seems very similar Moreover the methodology collections to shop in for each step are common and the choice is rather dependent on the criteria the underlying institutional regulation or study purpose than on the application Indeed the conceptual framework that fits conceptually at least virtually any industrial uncertainty study can be resumed by the following figure This scheme ought to be considered as a skeleton for a purely uncertainty part of an industrial study So far all the three essential steps as well as satellites B and C may be shown application free it is rather mutually dependent At a conceptual level it may be one size fits all solution meanwhile it is not assumed to be so when applied Instead the reference guide provides the methodologies to shop from and the guidelines to chose from that handleads and educates an industrial engineer over the uncertainties aspects avoiding him becoming a specialist in this complex field It may therefore be implemented as Software that would perform all the modelling propagation and criteria check and would only ask some relevant questions playing the role of Babel Fish a translator from the industrial world to the mathematical When dependency structure between the steps of this application free framework is closely investigated it appears that one step directs others in many aspects the purpose of the study often a criterion to comply with or a business decision making together with some features of the available model and the study context variables involved deterministic or random or a bit of both Therefore the very sensible approach to start with is to get it from the right end see the box above This conceptual conclusion comes as an essential point for the consolidation process of building the generic uncertainty management framework In brief the consolidation of uncertainty treatment practices aims at a kind of two side split for a generic industrial study The first one would gather all the bits specific to the particular application whereas the second one would collect the uncertainty related bits Ideally the uncertainty slice may prove to be a common to any application or can be managed to become so and might be embedded into a comprehensive Software package This would offer to an application specialist in charge of a whole study the uncertainty management toolkit applicable to his field know how

    Original URL path: http://www.opus-project.fr/index.php/anropusproject/projectreferences?el_mcal_month=11&el_mcal_year=2015 (2016-01-11)
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  • Project references
    only later on Hence nowadays several major partnerships at the international level ESREDA MUCM SAMSI or the French level IMdR have launched ambitious works to capitalise on uncertainty treatments into generic guides that would meet virtually any industrial need It aims at designing a common template to be followed as well as specific guidelines to methodology that might best fit the particular case typically according to the data and experts information availability model complexity and so on The genuine study cases considered in these projects all from different business areas illustrate a startling feature although the applications and physics involved are completely different the implicit mathematical structure seems very similar Moreover the methodology collections to shop in for each step are common and the choice is rather dependent on the criteria the underlying institutional regulation or study purpose than on the application Indeed the conceptual framework that fits conceptually at least virtually any industrial uncertainty study can be resumed by the following figure This scheme ought to be considered as a skeleton for a purely uncertainty part of an industrial study So far all the three essential steps as well as satellites B and C may be shown application free it is rather mutually dependent At a conceptual level it may be one size fits all solution meanwhile it is not assumed to be so when applied Instead the reference guide provides the methodologies to shop from and the guidelines to chose from that handleads and educates an industrial engineer over the uncertainties aspects avoiding him becoming a specialist in this complex field It may therefore be implemented as Software that would perform all the modelling propagation and criteria check and would only ask some relevant questions playing the role of Babel Fish a translator from the industrial world to the mathematical When dependency structure between the steps of this application free framework is closely investigated it appears that one step directs others in many aspects the purpose of the study often a criterion to comply with or a business decision making together with some features of the available model and the study context variables involved deterministic or random or a bit of both Therefore the very sensible approach to start with is to get it from the right end see the box above This conceptual conclusion comes as an essential point for the consolidation process of building the generic uncertainty management framework In brief the consolidation of uncertainty treatment practices aims at a kind of two side split for a generic industrial study The first one would gather all the bits specific to the particular application whereas the second one would collect the uncertainty related bits Ideally the uncertainty slice may prove to be a common to any application or can be managed to become so and might be embedded into a comprehensive Software package This would offer to an application specialist in charge of a whole study the uncertainty management toolkit applicable to his field know how In

    Original URL path: http://www.opus-project.fr/index.php/anropusproject/projectreferences?el_mcal_month=3&el_mcal_year=2016 (2016-01-11)
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