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  • UJF (Université Joseph Fourier), Laboratoire Jean Kuntzmann (LJK)
    The laboratory is structured into three scientific departments Geometry Images focuses on geometric modelling and image processing including graphics and computer vision Deterministic Models Algorithms develops tools for numerical and symbolic computation Statistics gathers theoretical and applied statisticians and specialists in data analysis and signal processing Joseph Fourier University is be represented by two of its professors Anestis Antoniadis et Christophe Prud homme who contribute in three areas to the

    Original URL path: http://www.opus-project.fr/index.php/anropusproject/59-ujf?tmpl=component&print=1&layout=default&page= (2016-01-11)
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  • SUPELEC (Ecole Supérieure d’Electricité), Département Signaux et Systèmes Electroniques (SSE)
    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 by a gaussian process excursion volume estimation SSE

    Original URL path: http://www.opus-project.fr/index.php/anropusproject/58-supelec?tmpl=component&print=1&layout=default&page= (2016-01-11)
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  • ANR project Opus
    infrastructure This branch also develops Web solutions ENGINEERING focuses on the development of new services based on the Statistical and Data Mining methodologies SOFTIA s skillset covers numerous software technologies and is particularly focused on Open Source Softia website Last Updated Monday 11 January 2010 22 38 UP7 Université Paris VII laboratoire Probabilités et Modèles Aléatoires LPMA Monday 21 December 2009 21 34 Author Administrator LPMA is is a joint laboratory of the Universités Paris VI and Paris VII It comprises about 70 faculties and 50 PhD students The laboratory s activities take place in the applied mathematics field and focuses on modelisation description and analysis of random phenomena Uncertainty quantification in numerical codes has become one of the main research axes from the joint action of strong demand from academic and industrial partners as well as recent developments using advanced techniques from both numerical simulation and probabilistic tools point of view variance reduction methods for Monte Carlo genetic algorithms interacting particle systems LPMA hosts the activities of two Master s 2 Degrees which represent more than 200 students each year a great pool which allows about 50 PhD students at any time The scientific person in charge of OPUS project also participates in those two Master s degrees He was the main organizer of CEMRACS 2006 This mathematical summer center for advanced research in scientific computing was dedicated to modeling randomness and uncertainty propagation smai emath fr cemracs cemracs06 Partners within OPUS such as CEA EADS and EDF have strongly involved themselves in CEMRACS by offering several research projects which were short six weeks but intense They were completed throughout the summer and led to the writing of internal reports and publications in the following months The fruitful collaborations started during CEMRACS should be supported by a new stimulus which the OPUS project could be head of UP7 website Last Updated Tuesday 26 January 2010 21 11 UJF Université Joseph Fourier Laboratoire Jean Kuntzmann LJK Monday 21 December 2009 21 33 Author Administrator The Jean Kuntzmann laboratory is an Applied Mathematics and Computer Science laboratory created in January 2007 in Grenoble France A joint research unit of the UJF the INPG the UPMF the CNRS and INRIA it combines the forces of applied mathematicians and statisticians from the former laboratories LMC and LabSAD with graphics and computer vision experts from the former laboratory GRAVIR Its expertise centres on the computational and statistical sciences and their uses in analysing natural phenomena with applications ranging from environmental modelling through life sciences nanosciences visualisation and signal processing to mathematical finance The laboratory is structured into three scientific departments Geometry Images focuses on geometric modelling and image processing including graphics and computer vision Deterministic Models Algorithms develops tools for numerical and symbolic computation Statistics gathers theoretical and applied statisticians and specialists in data analysis and signal processing Joseph Fourier University is be represented by two of its professors Anestis Antoniadis et Christophe Prud homme who contribute in three areas to the OPUS project

    Original URL path: http://www.opus-project.fr/index.php/anropusproject?start=5&el_mcal_month=1&el_mcal_year=2016 (2016-01-11)
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  • ANR project Opus
    infrastructure This branch also develops Web solutions ENGINEERING focuses on the development of new services based on the Statistical and Data Mining methodologies SOFTIA s skillset covers numerous software technologies and is particularly focused on Open Source Softia website Last Updated Monday 11 January 2010 22 38 UP7 Université Paris VII laboratoire Probabilités et Modèles Aléatoires LPMA Monday 21 December 2009 21 34 Author Administrator LPMA is is a joint laboratory of the Universités Paris VI and Paris VII It comprises about 70 faculties and 50 PhD students The laboratory s activities take place in the applied mathematics field and focuses on modelisation description and analysis of random phenomena Uncertainty quantification in numerical codes has become one of the main research axes from the joint action of strong demand from academic and industrial partners as well as recent developments using advanced techniques from both numerical simulation and probabilistic tools point of view variance reduction methods for Monte Carlo genetic algorithms interacting particle systems LPMA hosts the activities of two Master s 2 Degrees which represent more than 200 students each year a great pool which allows about 50 PhD students at any time The scientific person in charge of OPUS project also participates in those two Master s degrees He was the main organizer of CEMRACS 2006 This mathematical summer center for advanced research in scientific computing was dedicated to modeling randomness and uncertainty propagation smai emath fr cemracs cemracs06 Partners within OPUS such as CEA EADS and EDF have strongly involved themselves in CEMRACS by offering several research projects which were short six weeks but intense They were completed throughout the summer and led to the writing of internal reports and publications in the following months The fruitful collaborations started during CEMRACS should be supported by a new stimulus which the OPUS project could be head of UP7 website Last Updated Tuesday 26 January 2010 21 11 UJF Université Joseph Fourier Laboratoire Jean Kuntzmann LJK Monday 21 December 2009 21 33 Author Administrator The Jean Kuntzmann laboratory is an Applied Mathematics and Computer Science laboratory created in January 2007 in Grenoble France A joint research unit of the UJF the INPG the UPMF the CNRS and INRIA it combines the forces of applied mathematicians and statisticians from the former laboratories LMC and LabSAD with graphics and computer vision experts from the former laboratory GRAVIR Its expertise centres on the computational and statistical sciences and their uses in analysing natural phenomena with applications ranging from environmental modelling through life sciences nanosciences visualisation and signal processing to mathematical finance The laboratory is structured into three scientific departments Geometry Images focuses on geometric modelling and image processing including graphics and computer vision Deterministic Models Algorithms develops tools for numerical and symbolic computation Statistics gathers theoretical and applied statisticians and specialists in data analysis and signal processing Joseph Fourier University is be represented by two of its professors Anestis Antoniadis et Christophe Prud homme who contribute in three areas to the OPUS project

    Original URL path: http://www.opus-project.fr/index.php/anropusproject?start=5&el_mcal_month=3&el_mcal_year=2016 (2016-01-11)
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  • INRIA (Institut National de Recherche en Informatique et en Automatique)
    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

    Original URL path: http://www.opus-project.fr/index.php/anropusproject/57-inria?tmpl=component&print=1&layout=default&page= (2016-01-11)
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  • ECP (Ecole Centrale Paris), Laboratoire Mathématiques Appliquées aux Systèmes (MAS)
    and visualisation Information management data and images Information systems engineering Within axis 1 we especially study numerical techniques applied to PDEs for multiphasic problems or materials as well as optimization methods The lab is 60 people strong and is associated to two teaching structures from Ecole Centrale Paris Applied Mathematics and IT Telecom options mostly within research initiation projects It is also a partner for several Masters Degrees INSTN Paris

    Original URL path: http://www.opus-project.fr/index.php/anropusproject/56-ecp?tmpl=component&print=1&layout=default&page= (2016-01-11)
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  • EDF (Electricité de France), Recherche et Développement (R&D)
    units and to identify and prepare new growth drivers for the medium and long terms EDF R D has a committed policy of working with partners in France and Europe especially the countries where the Group is active as well as in other parts of the world Uncertainty assessment and propagation in physical environmental or risk modeling is the subject of a long standing work at EDF R D Thanks

    Original URL path: http://www.opus-project.fr/index.php/anropusproject/55-edf?tmpl=component&print=1&layout=default&page= (2016-01-11)
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  • EADS (European Aeronautic Defence and Space company), Innovation Works
    In the last few years uncertainty management is at the heart of EADS IW computing strategy Indeed for needs of advanced conception as well as numerical certification intensive use of numerical computation tools requires the identification and development of trust indicators Indeed mastery of stochastic computing techniques and data management is mandatory EADS IW is involved in projects IOLS and EHPOC from SYSTEM TIC PARIS REGION pole as well as

    Original URL path: http://www.opus-project.fr/index.php/anropusproject/54-eads?tmpl=component&print=1&layout=default&page= (2016-01-11)
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