Bayesian demand calibration for dynamic traffic simulations

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Time-sensitive networks provide worst-case guarantees for applications in domains such as the automobile, automation, avionics, and the space industries. A violation of these guarantees can cause considerable financial loss and serious damage to human live ...

To understand how daylight gives shape and life to architectural spaces, whether existing or imagined, requires quantifying its dynamism and energy. Maintaining these details presents a challenge to simulation and analysis methods that flatten data into di ...

We investigate the mechanics of bistable, hard-magnetic, elastic beams, combining experiments, finite-element modelling (FEM) and a reduced-order theory. The beam is made of a hard magneto-rheological elastomer, comprising two segments with antiparallel ma ...

Simulation is a powerful approach that plays a significant role in science and technology. Computational models that simulate learner interactions and data hold great promise for educational technology as well. Amongst others, simulated learners can be use ...

Accurately representing mixed-phase clouds (MPCs) in global climate models (GCMs) is critical for capturing climate sensitivity and Arctic amplification. Secondary ice production (SIP), can significantly increase ice crystal number concentration (ICNC) in ...

A design concept is proposed for the building block, a dot, of programmable braille readers utilizing bistable shell buckling, magnetic actuation, and pneumatic loading. The design process is guided by Finite Element simulations, which are initially valida ...

This thesis investigates the relationship between investors' demand shocks and asset prices through the use of data on portfolio holdings. In three chapters, I study the theory, estimation, and application of demand-based asset pricing models, which incorp ...

Plasma-molecular interactions generate molecular ions which react with the plasma and contribute to detachment through molecular activated recombination (MAR), reducing the ion target flux, and molecular activated dissociation (MAD), both of which create e ...

This simulation-based study aimed to contribute to gaining knowledge on how much the deviation between occupant-related input by the national standard and by insitu measurements might impact predictions of heating/cooling needs in offices. Analysis was per ...

Bayesian demand calibration for dynamic traffic simulations

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A Network Calculus Analysis of Asynchronous Mechanisms in Time-Sensitive Networks

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Snap buckling of bistable beams under combined mechanical and magnetic loading

Simulated Learners in Educational Technology: A Systematic Literature Review and a Turing-like Test

RaFSIP: Parameterizing ice multiplication in models using a machine learning approach

Leveraging the Snap Buckling of Bistable Magnetic Shells to Design a Refreshable Braille Dot

Demand-based Asset Pricing: Theory, Estimation and Applications

Investigating the impact of the molecular charge-exchange rate on detached SOLPS-ITER simulations

Impact of Standard versus Tracked-based User Behavior into Energy Simulations of Open-Space Offices