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  • INRIA (Institut National de Recherche en Informatique et en Automatique)
    en Automatique INRIA Institut National de Recherche en Informatique et en Automatique Monday 21 December 2009 21 05 Author Administrator INRIA the national institute for research in computer science and control operating under the dual authority of the Ministry of Research and the Ministry of Industry is dedicated to fundamental and applied research in information and communication science and technology ICST The Institute also plays a major role in technology transfer by fostering training through research diffusion of scientific and technical information development as well as providing expert advice and participating in international programs By playing a leading role in the scientific community in the field and being in close contact with industry INRIA is a major participant in the development of ICST in France OPUS will allow Scilab to have a toolbox specialized for uncertainty treatment simulation that is a major improvement of Scilab in the domain of simulation techniques On the other hand Scilab will provide OPUS with an Open Platform with a number of numerical functionalities and with an interpreter and language capable to easily handle the simulation functions of OPUS This cooperation also makes OPUS benefit Scilab operational team s technical capabilities and dissemination skills in

    Original URL path: http://www.opus-project.fr/index.php/anropusproject/57-inria (2016-01-11)
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  • SUPELEC (Ecole Supérieure d’Electricité), Département Signaux et Systèmes Electroniques (SSE)
    has acquired a renowned expertise on black box type modelisation problems as well as uncertain information management These methods include random processes linear prediction kriging as well as regularized regression by reproducing kernel hilbertian space norm splines approximation by radial basis functions support vector regression etc The most recent work has been on 1 kernel choice a central problem since model quality is dependant upon it Methods assembling a kernel from many elementary kernels are being studied They allow satisfying results in particular for time series predictions 2 continuous time dynamic systems prediction usually use a discrete form for time An original method allowing processing of the modelisation problem without system discretization has been proposed 3 the approximation phase of a costly function the global optimum of which we are seeking can be done using these methods In the past the methods used tried to optimize the approximation without taking the uncertainty into account or were optimizing the expected gain by taking uncertainty into account but ignoring the global information gain from new observations We present an optimization method based on entropy reduction that allows conciliation of both methods advantages 4 tail behaviour and system failure probability can be processed

    Original URL path: http://www.opus-project.fr/index.php/anropusproject/58-supelec (2016-01-11)
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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=12&el_mcal_year=2015 (2016-01-11)
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  • Project partners
    Project 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

    Original URL path: http://www.opus-project.fr/index.php/anropusproject/projectpartners?el_mcal_month=2&el_mcal_year=2016 (2016-01-11)
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  • Project references
    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 support to

    Original URL path: http://www.opus-project.fr/index.php/anropusproject/projectreferences?tmpl=component&print=1&page= (2016-01-11)
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  • OPUS
    Close Window E mail this link to a friend E mail to Sender Your E mail Subject Send Cancel

    Original URL path: http://www.opus-project.fr/index.php/component/mailto/?tmpl=component&link=aHR0cDovL3d3dy5vcHVzLXByb2plY3QuZnIvaW5kZXgucGhwL2Fucm9wdXNwcm9qZWN0L3Byb2plY3RyZWZlcmVuY2Vz (2016-01-11)
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  • References – Opus Project
    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 Schéma traitement incertitudes 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 support to these industrial genericity

    Original URL path: http://www.opus-project.fr/trac/wiki/References (2016-01-11)
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  • Scilab
    Links Download Opus file Home Opus project Scilab Scilab Monday 04 January 2010 02 46 Author Administrator Scilab The following is the quotation from www scilab org official SCILAB Web resource Scilab is a scientific software package for numerical computations providing a powerful open computing environment for engineering and scientific applications Scilab is an open source software Since 1994 it has been distributed freely along with the source code via the Internet It is currently used in educational and industrial environments around the world Scilab is now the responsibility of the Scilab Consortium launched in May 2003 There are currently 25 members in Scilab Consortium Scilab includes hundreds of mathematical functions with the possibility to add interactively programs from various languages FORTRAN C C JAVA It has sophisticated data structures including lists polynomials rational functions linear systems an interpreter and a high level programming language Scilab has been conceived to be an open system where the user can define new data types and operations on these data types Nowadays SCILAB is used by 250 000 users worldwide as a high performing and user friendly Scientific Computing tool Website Prev Next Last Updated Monday 11 January 2010 22 38 Calendar February

    Original URL path: http://www.opus-project.fr/index.php/anropusproject/64-scilab (2016-01-11)
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