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Models and modeling

Discontinuous Galerkin Time Domain Methods for Nonlocal Dispersion Models and Electron Beam Modeling in the Context of Nanoplasmonics

Discontinuous Galerkin Time Domain Methods for Nonlocal Dispersion Models and Electron Beam Modeling in the Context of Nanoplasmonics

... Discontinuous Galerkin Time Domain Methods for Nonlocal Dispersion Models and Electron Beam Modeling in the Context of Nanoplasmonics S. Lanteri 1 , C. Scheid 1,2 , N. Schmitt 1,2,† ,and J. ...

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Parametric and non-parametric models for lifespan modeling of insulation systems in electrical machines

Parametric and non-parametric models for lifespan modeling of insulation systems in electrical machines

... lifespan modeling of electric machine insulation materials. The presented models aim to study the effect of three main stress factors (voltage, frequency and temperature) and their ...

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SVAT modeling over the Alpilles-ReSeDA experiment: comparing SVAT models over wheat fields

SVAT modeling over the Alpilles-ReSeDA experiment: comparing SVAT models over wheat fields

... exchanges and mass exchanges between the soil, the biosphere and the ...data, and soil and vegetation process ...SVAT models (Soil-Vegetation-Atmosphere Transfer models) which ...

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Tailoring Models of Concurrency to eXecutable Domain-Specific Modeling Languages

Tailoring Models of Concurrency to eXecutable Domain-Specific Modeling Languages

... ABSTRACT Models of Concurrency (MoCs) are formalisms used to cap- ture the concurrent aspects of complex ...model and reason about concurrency, that are mapped to the underlying execution platform’s fa- ...

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Dimensional analysis and surrogate models for the thermal modeling of Multiphysics systems

Dimensional analysis and surrogate models for the thermal modeling of Multiphysics systems

... space and the optimization of these Multiphysics systems involve modeling the heat exchanges between the different ...thermal models suitable for use at system design level, where the thermal ...

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Concurrency-aware eXecutable Domain-Specific Modeling Languages as Models of Concurrency

Concurrency-aware eXecutable Domain-Specific Modeling Languages as Models of Concurrency

... language models: an abstract syntax transformation to specify how the xDSML’s concurrency concerns are encoded in the xDSML used as MoC; and the Projections, a part of the transformation metamodel, that ...

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Live Modeling in the Context of State Machine Models and Code Generation

Live Modeling in the Context of State Machine Models and Code Generation

... live modeling is by leveraging specific features provided by the target programming language of the generated ...code, and (c) injecting the new artifact into the running program by, for instance, ...

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Hybrid parametric/non-parametric models for lifespan modeling of insulation materials

Hybrid parametric/non-parametric models for lifespan modeling of insulation materials

... lifespan modeling is ...accuracy and the economical constraints, the number of experiments and their configuration are specified according to two experimental optimization methods: the Design of ...

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Hybrid parametric/non-parametric models for lifespan modeling of insulation materials

Hybrid parametric/non-parametric models for lifespan modeling of insulation materials

... lifespan modeling is ...accuracy and the economical constraints, the number of experiments and their configuration are specified according to two experimental optimization methods: the Design of ...

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Sensitivity analysis of runoff modeling to statistical downscaling models in the western Mediterranean

Sensitivity analysis of runoff modeling to statistical downscaling models in the western Mediterranean

... conditions and therefore the associated hydrological ...GCM, and thus about the need to correct them afterwards for the evaluation of fu- ture hydrological impact in ...mate modeling (GCMs, gas ...

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Semantic correspondence across 3D models for example-based modeling

Semantic correspondence across 3D models for example-based modeling

... Abstract Modeling 3D shapes is a specialized skill not affordable to most novice artists due to its complexity and ...complex models ready for use are becoming widespread, and can help the ...

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Distinguishing Antimicrobial Models with Different Resistance Mechanisms via Population Pharmacodynamic Modeling

Distinguishing Antimicrobial Models with Different Resistance Mechanisms via Population Pharmacodynamic Modeling

... 0 and 24 h, for example, can provide experimental evidence to accept or reject several candidate models ( Fig 2 ...reject models M1, M2, and M5, as those models assume the absence of ...

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Mode of lithospheric extension: Conceptual models from analogue modeling

Mode of lithospheric extension: Conceptual models from analogue modeling

... blocks and its dip evoluates from westward dipping in the east to a slightly eastward dipping close to the mantle ridge [Boillot et ...Mauffret and Montadert, ...ridge and seems to have merged into ...

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Development of multi-component evaporation models and 3D modeling of NOx-SCR reduction system

Development of multi-component evaporation models and 3D modeling of NOx-SCR reduction system

... vaporization modeling considering Hirschfelder's ...Soret and Dufour are neglected and there is no chemical reaction in the gaseous ...quasi-steadiness and isobaric assumptions are applied to ...

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Physiological modeling, tight glycemic control, and the ICU clinician: what are models and how can they affect practice?

Physiological modeling, tight glycemic control, and the ICU clinician: what are models and how can they affect practice?

... patient and severity of illness [31, ...sensitivity and specificity in assessing sepsis compared with a control cohort, yielding a negative predictive value (NPV) greater than 99%, thus clearly identifying ...

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Graphical models for social behavior modeling in face-to face interaction

Graphical models for social behavior modeling in face-to face interaction

... Markov Models (CHMMs) to describe interactions between two people and characterize their dynamics in order to estimate the success of the intended ...addressing and turn taking ("who responds to ...

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Adaptive models in regression for modeling and understanding evolving populations

Adaptive models in regression for modeling and understanding evolving populations

... Housing and Urban Development (HUD) and conducted by the ...(South-East) and of San Jose, California (West ...for modeling the housing market of ...number and charac- teristics of ...

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Comprehensive inverse modeling for the study of carrier transport models in sub-50nm MOSFETs

Comprehensive inverse modeling for the study of carrier transport models in sub-50nm MOSFETs

... The project will progress through tasks summarized by the following: analysis of the reli- ability of inverse modeling, coding the non-linear optimization loop, performing ac[r] ...

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Hybrid constitutive modeling: data-driven learning of corrections to plasticity models

Hybrid constitutive modeling: data-driven learning of corrections to plasticity models

... learning models from scratch, we believe that it will be much more efficient and appealing to try to correct existing models in light of the obtained experimental results and the observed ...

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Nonlinear system modeling and identification using Volterra-PARAFAC models

Nonlinear system modeling and identification using Volterra-PARAFAC models

... Empirical modeling from measured input–output data is a key issue for many ...a modeling consists in first selecting an appropriate model structure and then estimating the model parameters by ...

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