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Model to Model mapping

An automatic model-to-model mapping and transformation methodology to serve model-based systems engineering

An automatic model-to-model mapping and transformation methodology to serve model-based systems engineering

... enterprise to cooperate with others has become one of the core factors in gaining competitive ...led to an urgent requirement to improve cooperation ability. To this end, model-based ...

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A Model for Mapping Speech to Head Gestures in Human-Robot Interaction

A Model for Mapping Speech to Head Gestures in Human-Robot Interaction

... respect to speech character- istics, their relative temporal arrangement, and their coordinated organization in a phrasal structure of ...of mapping head gestures and speech prosodic characteristics in a ...

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Mapping the jungle of integrated models: Towards a new guide to appraise the model toolbox

Mapping the jungle of integrated models: Towards a new guide to appraise the model toolbox

... in mapping integrated models : ● The hybrid concept combining bottom-up and top-down features covers a too large spectrum of very different models ● The optimization-simulation dichotomy pertains to the ...

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An Integrated Model of Speech to Arm Gestures Mapping in Human-Robot Interaction

An Integrated Model of Speech to Arm Gestures Mapping in Human-Robot Interaction

... The mapping between speech and arm gestures is done by using the Coupled Hidden Markov Models (CHMM), which could be seen as a collection of HMM for the audio and video ...this model over a lot of other ...

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Mapping of the brain hemodynamic responses to sensorimotor stimulation in a rodent model: A BOLD fMRI study

Mapping of the brain hemodynamic responses to sensorimotor stimulation in a rodent model: A BOLD fMRI study

... methodology to elicit functional activation in cortical and subcortical areas owing to the regional differences in both neuronal and vascular architectures between these brain ...signal to noise ...

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NIDM-Results: a model to share brain mapping statistical results

NIDM-Results: a model to share brain mapping statistical results

... Publication Peak locations Figure (selected slices) Thresholded statistics Analysis Pre-processing Publication Raw data Pre-processed data Results Publication... Publication Peak locati[r] ...

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A Bayesian perspective on input uncertainty in model calibration: Application to hydrological model “abc”.

A Bayesian perspective on input uncertainty in model calibration: Application to hydrological model “abc”.

... Error Models and Prior Hypotheses [63] Following are the modeling hypotheses, designed to bring out the density mapping effect and reduce other potential influences on the parameters pos[r] ...

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A normalized-cut alignment model for mapping hierarchical semantic structures onto spoken documents

A normalized-cut alignment model for mapping hierarchical semantic structures onto spoken documents

... limited to, those finding semantic represen- tations for individual sentences (Ge and Mooney, 2005; Zettlemoyer and Collins, 2005; Lu et ...being to impose such a structure onto the transcripts of the ...

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Non-Invasive Personalisation of a Cardiac Electrophysiology Model from Body Surface Potential Mapping

Non-Invasive Personalisation of a Cardiac Electrophysiology Model from Body Surface Potential Mapping

... able to personalise the location of the onset activation location and the global conduction velocity of the myocardium with a two-step ...order to train a machine learning algorithm based on a few QRS ...

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Nanodielectric mapping of a model polystyrene-poly(vinyl acetate) blend by electrostatic force microscopy

Nanodielectric mapping of a model polystyrene-poly(vinyl acetate) blend by electrostatic force microscopy

... necessary to implement our ...order to verify the good accuracy of the measurements and to check the sym- metry of the parabola with respect to the 0 V ...due to the absence of free ...

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Application of model-driven engineering to multi-agent systems : a language to model behaviors of reactive agents

Application of model-driven engineering to multi-agent systems : a language to model behaviors of reactive agents

... UML to Ecore In order to use our meta-model in EMF, the Ecore format is expected as a meta- model specification ...environment to design B-reactive meta-model; Modelio offers two ...

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Front observer for data assimilation of electroanatomical mapping data for a numerical atrial model

Front observer for data assimilation of electroanatomical mapping data for a numerical atrial model

... Data assimilation provides a natural way to combine a numerical model and incomplete observations. [1] Simon Labarthe, Jason Bayer, Yves Coudière, Jacques Henry, Hubert Cochet, Pierre Jaïs, and Edward ...

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Mapping the distinct origins of bimodality in a classic model with alternative stable states

Mapping the distinct origins of bimodality in a classic model with alternative stable states

... shaded to delineate the bimodal region. The bistable region is to the right of the dashed ...tend to be lower overall (more blue and fewer yellow shades) and lower in particular within the bimodal ...

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A generic approach to model generation operations

A generic approach to model generation operations

... ECORE to Alloy ( ...the mapping is presented in Table 1 ...mapped to Alloy sig- ...mapped to Al- loy ...due to the fact that they are treated as scalars: any string usable value must be ...

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Nanodielectric mapping of a model polystyrene-poly(vinyl acetate) blend by electrostatic force microscopy

Nanodielectric mapping of a model polystyrene-poly(vinyl acetate) blend by electrostatic force microscopy

... method to quantitatively image the dielectric permittivity of soft materials at nanoscale using electrostatic force microscopy sEFMd by means of the double pass ...applied to image the morphology and the ...

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MULTIVARIATE DISTRIBUTION CORRECTION OF CLIMATE MODEL OUTPUTS: A GENERALISATION OF QUANTILE MAPPING APPROACHES

MULTIVARIATE DISTRIBUTION CORRECTION OF CLIMATE MODEL OUTPUTS: A GENERALISATION OF QUANTILE MAPPING APPROACHES

... associated to the distribution H of Z on ℝ 𝑝 , the distance which naturally generalizes 246 the distance on ℝ for continuous distributions is given by 𝑑(𝐻, 𝐾) = 𝑠𝑢𝑝 𝑧∈ℝ 𝑝 |𝐻(𝑧) − ...

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On gene mapping with the mixture model and the extremes

On gene mapping with the mixture model and the extremes

... We introduce a new variable selection method, suitable when the correlation be- tween regressors is known. It is appropriate in genomics since once the genetic map has been built, the correlation is perfectly known. Our ...

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A Unified Model for Structure–function Mapping Based on Eigenmodes

A Unified Model for Structure–function Mapping Based on Eigenmodes

... leading to the idea that it should be possible to predict the function given the ...correspond to particular cases of a more general model that can be used to generate new ...

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Towards Model Transformation from a CBM Model to CEP Rules to Support Predictive Maintenance

Towards Model Transformation from a CBM Model to CEP Rules to Support Predictive Maintenance

... Variable mapping, the monitoring variables correspond to the input data as they refer to elemental signals or infor- ...related to two of the tar- gets concepts. In the source model, ...

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Motion planning in crowds using statistical model checking to enhance the social force model

Motion planning in crowds using statistical model checking to enhance the social force model

... able to negotiate crowded areas with few ...strategy to proceed can be ...aims to devise an intelligent ‘walker’ (an assistive wheeled device) that detects the presence of other pedestrians in the ...

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