Výsledky vyhledávání - "Seewig Jörg"

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Surface data imputation with stochastic processes

Autor: Jawaid, Arsalan, Schmidt, Samuel, Seewig, Jörg

Spurious measurements in surface data are common in technical surfaces. Excluding or ignoring these spurious points may lead to incorrect surface characterization if these points inherit features of the surface. Therefore, data imputation must be app

Externí odkaz: http://arxiv.org/abs/2410.22824

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Feature Characterization for Profile Surface Texture

Autor: Müller, Alexander, Eifler, Matthias, Jawaid, Arsalan, Seewig, Jörg

Conventional field parameters for surface measurement use all data points, while feature characterization focuses on subsets extracted by watershed segmentation. This approach enables the extraction of specific features that are potentially responsib

Externí odkaz: http://arxiv.org/abs/2406.06381

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Scientific modeling of Optical 3D Measuring Devices based on GPU-accelerated Ray Tracing using the NVIDIA OptiX Engine

Autor: Keksel, Andrej, Schmidt, Samuel, Beck, Dietrich, Seewig, Jörg

Publikováno v: Proceedings of SPIE - Modeling Aspects in Optical Metrology IX - 2023

Scientific optical 3D modeling requires the possibility to implement highly flexible and customizable mathematical models as well as high computing power. However, established ray tracing software for optical design and modeling purposes often has li

Externí odkaz: http://arxiv.org/abs/2308.04816

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Model of rough surfaces with Gaussian processes

Autor: Jawaid, Arsalan, Seewig, Jörg

Publikováno v: Surf. Topogr.: Metrol. Prop. 11 (2023) 015013

Surface roughness plays a critical role and has effects in, e.g. fluid dynamics or contact mechanics. For example, to evaluate fluid behavior at different roughness properties, real-world or numerical experiments are performed. Numerical simulations

Externí odkaz: http://arxiv.org/abs/2210.08279

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