Article

Visualization for functional design

Authors:

B. Spence,

L. Tweedie,

H. Dawkes,

Hua SuAuthors Info & Claims

INFOVIS '95: Proceedings of the 1995 IEEE Symposium on Information Visualization

Page 4

Published: 30 October 1995 Publication History

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Abstract

We present two novel visualisation tools: the Influence Explorer and the Prosection Matrix. These were specifically created to support engineering artifact design and similar tasks in which a set of parameter values must be chosen to lead to acceptable artifact performance. These tools combine two concepts. One is the interactive and virtually immediate responsive display of data in a manner conducive to the acquisition of insight. The other, involving the precalculation of samples of artifact performance, facilitates smooth exploration and optimisation leading to a design decision. The anticipated benefits of these visualisation tools are illustrated by an example taken from electronic circuit design, in which full account must be taken of the uncertainties in parameter values arising from inevitable variations in the manufacturing process.

References

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Arif M(2012)Similarity-Dissimilarity Plot for Visualization of High Dimensional Data in Biomedical Pattern ClassificationJournal of Medical Systems10.1007/s10916-010-9579-836:3(1173-1181)Online publication date: 1-Jun-2012
https://dl.acm.org/doi/10.1007/s10916-010-9579-8
Berthold MHand D(2003)ReferencesIntelligent data analysis10.5555/938152.938175(475-500)Online publication date: 1-Jan-2003
https://dl.acm.org/doi/10.5555/938152.938175
Keim D(2002)Information Visualization and Visual Data MiningIEEE Transactions on Visualization and Computer Graphics10.1109/2945.9818478:1(1-8)Online publication date: 1-Jan-2002
https://dl.acm.org/doi/10.1109/2945.981847
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INFOVIS '95: Proceedings of the 1995 IEEE Symposium on Information Visualization

October 1995

ISBN:0818672013

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IEEE Computer Society

United States

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Published: 30 October 1995

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Arif M(2012)Similarity-Dissimilarity Plot for Visualization of High Dimensional Data in Biomedical Pattern ClassificationJournal of Medical Systems10.1007/s10916-010-9579-836:3(1173-1181)Online publication date: 1-Jun-2012
https://dl.acm.org/doi/10.1007/s10916-010-9579-8
Berthold MHand D(2003)ReferencesIntelligent data analysis10.5555/938152.938175(475-500)Online publication date: 1-Jan-2003
https://dl.acm.org/doi/10.5555/938152.938175
Keim D(2002)Information Visualization and Visual Data MiningIEEE Transactions on Visualization and Computer Graphics10.1109/2945.9818478:1(1-8)Online publication date: 1-Jan-2002
https://dl.acm.org/doi/10.1109/2945.981847
Keim D(2000)Designing Pixel-Oriented Visualization TechniquesIEEE Transactions on Visualization and Computer Graphics10.1109/2945.8411216:1(59-78)Online publication date: 1-Jan-2000
https://dl.acm.org/doi/10.1109/2945.841121
Roth SChuah MKerpedjiev SKolojejchick JLucas P(1997)Toward an information visualization workspaceHuman-Computer Interaction10.1207/s15327051hci1201%262_512:1(131-185)Online publication date: 1-Mar-1997
https://dl.acm.org/doi/10.1207/s15327051hci1201%25262_5

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