Statistical Analysis of Table-Tennis Ball Trajectories

Statistical Analysis of Table-Tennis Ball Trajectories

In this work, the equations of motion for table-tennis balls were numerically solved on graphics processing units (GPUs) using Compute Unified Device Architecture (CUDA) for systematical statistical studies of the impact of ball size and weight, as well as of net height, on the distribution function...

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Main Authors: Ralf Schneider, Lars Lewerentz, Karl Lüskow, Marc Marschall, Stefan Kemnitz
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Applied Sciences
Subjects:
rule changes
GPU computing
statistical analysis
Online Access:https://www.mdpi.com/2076-3417/8/12/2595
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spelling doaj-f257454b06a34c9c8f4e8f84d99333b72020-11-25T01:28:28ZengMDPI AGApplied Sciences2076-34172018-12-01812259510.3390/app8122595app8122595Statistical Analysis of Table-Tennis Ball TrajectoriesRalf Schneider0Lars Lewerentz1Karl Lüskow2Marc Marschall3Stefan Kemnitz4Institute for Physics, University of Greifswald, 17498 Greifswald, GermanyInstitute for Physics, University of Greifswald, 17498 Greifswald, GermanyInstitute for Physics, University of Greifswald, 17498 Greifswald, GermanyInstitute for Physics, University of Greifswald, 17498 Greifswald, GermanyInstitute of Computer Science, University of Rostock, 18051 Rostock, GermanyIn this work, the equations of motion for table-tennis balls were numerically solved on graphics processing units (GPUs) using Compute Unified Device Architecture (CUDA) for systematical statistical studies of the impact of ball size and weight, as well as of net height, on the distribution functions of successful strokes. Half a billion different initial conditions involving hitting location, initial spin, and velocities were analyzed to reach sufficient statistical significance for the different cases. In this paper, an advanced statistical analysis of the database generated by the simulation is presented.https://www.mdpi.com/2076-3417/8/12/2595rule changesGPU computingstatistical analysis
collection DOAJ
language English
format Article
sources DOAJ
author Ralf Schneider
Lars Lewerentz
Karl Lüskow
Marc Marschall
Stefan Kemnitz
spellingShingle Ralf Schneider
Lars Lewerentz
Karl Lüskow
Marc Marschall
Stefan Kemnitz
Statistical Analysis of Table-Tennis Ball Trajectories
Applied Sciences
rule changes
GPU computing
statistical analysis
author_facet Ralf Schneider
Lars Lewerentz
Karl Lüskow
Marc Marschall
Stefan Kemnitz
author_sort Ralf Schneider
title Statistical Analysis of Table-Tennis Ball Trajectories
title_short Statistical Analysis of Table-Tennis Ball Trajectories
title_full Statistical Analysis of Table-Tennis Ball Trajectories
title_fullStr Statistical Analysis of Table-Tennis Ball Trajectories
title_full_unstemmed Statistical Analysis of Table-Tennis Ball Trajectories
title_sort statistical analysis of table-tennis ball trajectories
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2018-12-01
description In this work, the equations of motion for table-tennis balls were numerically solved on graphics processing units (GPUs) using Compute Unified Device Architecture (CUDA) for systematical statistical studies of the impact of ball size and weight, as well as of net height, on the distribution functions of successful strokes. Half a billion different initial conditions involving hitting location, initial spin, and velocities were analyzed to reach sufficient statistical significance for the different cases. In this paper, an advanced statistical analysis of the database generated by the simulation is presented.
topic rule changes
GPU computing
statistical analysis
url https://www.mdpi.com/2076-3417/8/12/2595
work_keys_str_mv AT ralfschneider statisticalanalysisoftabletennisballtrajectories
AT larslewerentz statisticalanalysisoftabletennisballtrajectories
AT karlluskow statisticalanalysisoftabletennisballtrajectories
AT marcmarschall statisticalanalysisoftabletennisballtrajectories
AT stefankemnitz statisticalanalysisoftabletennisballtrajectories
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