<div class="csl-bib-body">
<div class="csl-entry">Gehrer, D. (2017). <i>Visualisierung von molekularen Maschinen mittels agentenbasierter Animation</i> [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2017.33786</div>
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dc.identifier.uri
https://doi.org/10.34726/hss.2017.33786
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/1596
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dc.description.abstract
This work proposes an agent-based model for animating molecular machines. Usually molecular machines are visualized using key-frame animation. Creating large molecular assemblies with key-frame animation in standard 3D software can be a tedious task, because hundreds or thousands of molecular particles have to be animated by hand, considering various biological phenomena. To avoid repetitive animation of molecular particles, a prototypic framework is implemented, that employs an agent-based approach. Instead of animating the molecular particles directly, the framework utilizes behavior descriptions for each type of molecular particle. The animation results from the molecular particles interacting with each other as defined by their behavior. Interaction between molecular particles is enabled by an abstract model that is implemented by the framework. The methodology for creating the framework was driven through learning by example. Three molecular machines are visualized using the framework. During this process, the framework was iteratively improved, to meet the requirements for each new molecular machine. The resulted animations demonstrate that agent-based animation is a viable option for molecular machines.
en
dc.language
English
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dc.language.iso
en
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dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
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dc.subject
agent-based model
en
dc.subject
animating molecular machines
en
dc.title
Visualisierung von molekularen Maschinen mittels agentenbasierter Animation
en
dc.title.alternative
Visualization of molecular machinery using agent-based animation
de
dc.type
Thesis
en
dc.type
Hochschulschrift
de
dc.rights.license
In Copyright
en
dc.rights.license
Urheberrechtsschutz
de
dc.identifier.doi
10.34726/hss.2017.33786
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dc.contributor.affiliation
TU Wien, Österreich
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dc.rights.holder
Daniel Gehrer
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dc.publisher.place
Wien
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tuw.version
vor
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tuw.thesisinformation
Technische Universität Wien
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dc.contributor.assistant
Klein, Tobias Daniel
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tuw.publication.orgunit
E186 - Institut für Computergraphik und Algorithmen