89 research outputs found

    Sparse supernodal solver with low-rank compression for solving the frequency-domain Maxwell equations discretized by a high order HDG method

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    National audienceIn this talk, we present the use of PaStiX sparse direct solver in a Schwarz method for solving the frequencydomainMaxwell equations discretized by a high order HDG method. More precisely, the sparse solver is usedto solve a system on sub-domains while iterative refinement is performed to get the global solution. Recently,low-rank compression have been added to PaStiX in order to reduce the time-to-solution or the memory footprintof the solver. The resulting low-rank solver can be used either as a direct solver at a lower accuracy oras a good preconditionner for iterative methods. We will investigate the use of low-rank compression for thefrequency-domain Maxwell equations on large systems to experiment the compressibility of this equation

    Whole-microwave system modeling for brain imaging

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    In this paper, we present the results of a whole-system modeling of a microwave measurement prototype for brain imaging, consisting of 160 ceramic-loaded antennas working around 1 GHz. The modelization has been performed using open source FreeFem++ solver. Quantitative comparisons were performed using commercial software Ansys-HFSS and measurements. Coupling effects between antennas are studied with the empty system (without phantom) and simulations have been carried out with a fine numerical brain phantom model issued from scanner and MRI data for determining the sensitivity of the system in realistic configurations

    The interest of gait markers in the identification of subgroups among fibromyalgia patients

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    <p>Abstract</p> <p>Background</p> <p>Fibromyalgia (FM) is a heterogeneous syndrome and its classification into subgroups calls for broad-based discussion. FM subgrouping, which aims to adapt treatment according to different subgroups, relies in part, on psychological and cognitive dysfunctions. Since motor control of gait is closely related to cognitive function, we hypothesized that gait markers could be of interest in the identification of FM patients' subgroups. This controlled study aimed at characterizing gait disorders in FM, and subgrouping FM patients according to gait markers such as stride frequency (SF), stride regularity (SR), and cranio-caudal power (CCP) which measures kinesia.</p> <p>Methods</p> <p>A multicentre, observational open trial enrolled patients with primary FM (44.1 ± 8.1 y), and matched controls (44.1 ± 7.3 y). Outcome measurements and gait analyses were available for 52 pairs. A 3-step statistical analysis was carried out. A preliminary single blind analysis using k-means cluster was performed as an initial validation of gait markers. Then in order to quantify FM patients according to psychometric and gait variables an open descriptive analysis comparing patients and controls were made, and correlations between gait variables and main outcomes were calculated. Finally using cluster analysis, we described subgroups for each gait variable and looked for significant differences in self-reported assessments.</p> <p>Results</p> <p>SF was the most discriminating gait variable (73% of patients and controls). SF, SR, and CCP were different between patients and controls. There was a non-significant association between SF, FIQ and physical components from Short-Form 36 (p = 0.06). SR was correlated to FIQ (p = 0.01) and catastrophizing (p = 0.05) while CCP was correlated to pain (p = 0.01). The SF cluster identified 3 subgroups with a particular one characterized by normal SF, low pain, high activity and hyperkinesia. The SR cluster identified 2 distinct subgroups: the one with a reduced SR was distinguished by high FIQ, poor coping and altered affective status.</p> <p>Conclusion</p> <p>Gait analysis may provide additional information in the identification of subgroups among fibromyalgia patients. Gait analysis provided relevant information about physical and cognitive status, and pain behavior. Further studies are needed to better understand gait analysis implications in FM.</p

    Tour solaire, tour à vaporisation d'eau, et modes de conversion d'énergie renouvelable (présentation, critiques et suggestions)

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    Sont principalement Ă©tudiĂ©s : - une tour solaire (un large collecteur circulaire en verre + une cheminĂ©e d'1 km de haut dans laquelle l'air chaud monte et entraĂźne des turbines) ; - et une tour Ă  flux descendant d'air sec refroidi par vaporisation de gouttelettes d'eau. Des publications concurrentes prĂ©sentant de graves erreurs de principe affectent la crĂ©dibilitĂ© de ces deux projets, pourtant sĂ©rieux malgrĂ© leur gigantisme. D'autres modes de conversion d'Ă©nergie renouvelable sont, de mĂȘme, peu Ă©tudiĂ©s en France, recherchent des processus "pauvres" (rendement, matĂ©riaux, fluides moteurs), avec une production centralisĂ©e pour bĂ©nĂ©ficier d'Ă©conomies d'Ă©chelle. Dans tous les cas, l'optimisation Ă©conomique ne fait pas assez varier ensemble de nombreux paramĂštres pour dĂ©terminer une configuration optimale. Quelques amĂ©liorations techniques de la tour solaire sont proposĂ©es, en particulier pour pouvoir agrandir le collecteur solaire et la tour, et amĂ©liorer le rendement globalLYON1-BU.Sciences (692662101) / SudocSudocFranceF

    Dosage du polymorphisme (spectrométrie IRTF et chimiométrie. Application aux formes polymorphes du CL20(Hexaazahexanitroisowurtzitane / HNIW))

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    L'HexaazahexaNitroIsoWurtzitane (ou HNIW), dĂ©rivĂ© hexanitrĂ©, encore appelĂ© CL20, est une nouvelle molĂ©cule hautement Ă©nergĂ©tique, qui prĂ©sente quatre formes polymorphes : a, ß, g et . La forme est la plus active et la commercialisation stipule de fournir un produit dont la teneur en forme e soit supĂ©rieure Ă  95%, avec estimation des teneurs des autres formes ainsi que de l'impuretĂ© majoritaire (dĂ©rivĂ© pentanitrĂ©). L'objet du prĂ©sent travail est d'une part de caractĂ©riser les diffĂ©rentes formes polymorphes, et d'autre part de mettre au point, d'optimiser et de valider une mĂ©thode d'analyse quantitative du CL20 polymorphe par couplage spectromĂ©trie IRTF/chimiomĂ©trie, respectant les impĂ©ratifs techniques et commerciaux et transfĂ©rable sur site industriel. Les mĂ©thodes chimiomĂ©triques sont utilisĂ©es pour concevoir l'expĂ©rimentation et traiter l'information expĂ©rimentale nĂ©cessaire (Ă©talonnage et validation).LYON1-BU.Sciences (692662101) / SudocSudocFranceF

    Analyse multivariable de données ToF-SIMS, spectres de surface - profiles en profondeurs - imagerie de surface (développement du logiciel MULTI-ION SIMS)

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    L'interprĂ©tation des spectres ToF-SIMS requiert une expĂ©rience et une expertise confirmĂ©es et nĂ©cessite un temps d'exploitation important. Les mĂ©thodes classiques d'interprĂ©tation des spectres ToF-SIMS se focalisent sur quelques ions spĂ©cifiques considĂ©rĂ©s comme Ă©tant physiquement significatifs. Ceci gĂ©nĂšre une importante perte de l'information contenue dans les donnĂ©es ToF-SIMS. Par contraste, les mĂ©thodes multivariables prennent en compte la totalitĂ© des volumineux spectres de masse, corrĂšlent tous les ions et extraient exhaustivement l'information spectrale. Afin de dĂ©montrer l'intĂ©rĂȘt de ces mĂ©thodes, l'analyse en composantes principales et la rĂ©gression sur composantes principales ont Ă©tĂ© appliquĂ©es aux trois modes d'analyse ToF-SIMS : les spectres de surface, le profil en profondeur et l'imagerie de surface. Au cours de ce travail de recherche, le logiciel MULTI-ION SIMSÂź, spĂ©cialement dĂ©diĂ© Ă  l'analyse multivariable de donnĂ©es ToF-SIMS, a Ă©tĂ© dĂ©veloppĂ©.LYON1-BU.Sciences (692662101) / SudocSudocFranceF

    Plans d'expériences en carré latin pour l'analyse globale de la performance en ski de fond

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    Quantification de l'influence de la rugosité et du fartage des semelles de ski dans la performance de patinage (skating) en ski de fond. Facteurs expérimentaux retenus : niveau d'expertise du skieur, topographie (usinage et intensité d'abrasion), farts de glisse utilisés
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