Peña Serna, Sebastian and Stork, André and Fellner, Dieter W. (2013):
Embodiment Discrete Processing.
In: Lecture Notes in Production Engineering (LNPE), pp. 421-429, Springer, Berlin, Heidelberg, New York, Smart Product Engineering, DOI: 10.1007/978-3-642-30817-8₄₁,
[Conference or Workshop Item]
Abstract
The phases of the embodiment stage are sequentially conceived and in some domains even cyclic conceived. Nevertheless, there is no seamless integration between these, causing longer development processes, increment of time lags, loss of inertia, greater misunderstandings, and conflicts. Embodiment Discrete Processing enables the seamless integration of three building blocks. 1) Dynamic Discrete Representation: it is capable to concurrently handle the design and the analysis phases. 2) Dynamic Discrete Design: it deals with the needed modeling operations while keeping the consistency of the discrete shape. 3) Dynamic Discrete Analysis: it efficiently maps the dynamic changes of the shape within the design phase, while streamlining the interpretation processes. These integrated building blocks support the multidisciplinary work between designers and analysts, which was previously unusual. It creates a new understanding of what an integral processing is, whose phases were regarded as independent. Finally, it renders new opportunities toward a general purpose processing.
Item Type: | Conference or Workshop Item |
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Erschienen: | 2013 |
Creators: | Peña Serna, Sebastian and Stork, André and Fellner, Dieter W. |
Title: | Embodiment Discrete Processing |
Language: | English |
Abstract: | The phases of the embodiment stage are sequentially conceived and in some domains even cyclic conceived. Nevertheless, there is no seamless integration between these, causing longer development processes, increment of time lags, loss of inertia, greater misunderstandings, and conflicts. Embodiment Discrete Processing enables the seamless integration of three building blocks. 1) Dynamic Discrete Representation: it is capable to concurrently handle the design and the analysis phases. 2) Dynamic Discrete Design: it deals with the needed modeling operations while keeping the consistency of the discrete shape. 3) Dynamic Discrete Analysis: it efficiently maps the dynamic changes of the shape within the design phase, while streamlining the interpretation processes. These integrated building blocks support the multidisciplinary work between designers and analysts, which was previously unusual. It creates a new understanding of what an integral processing is, whose phases were regarded as independent. Finally, it renders new opportunities toward a general purpose processing. |
Series Name: | Lecture Notes in Production Engineering (LNPE) |
Publisher: | Springer, Berlin, Heidelberg, New York |
Uncontrolled Keywords: | Business Field: Virtual engineering, Research Area: Confluence of graphics and vision, Forschungsgruppe Semantic Models, Immersive Systems (SMIS), Design, Dynamic meshes, Mesh modifications, Embodiment design |
Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Interactive Graphics Systems |
Event Title: | Smart Product Engineering |
Date Deposited: | 12 Nov 2018 11:16 |
DOI: | 10.1007/978-3-642-30817-8₄₁ |
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