An algorithm for treating uncertainties in the visualization of pipeline sensors' datasets
Researchers have seen visualization as a tool in presenting data based on available datasets. Its usage is however undermined by its inability to ac- knowledge the associated uncertainties in real world measurements. Visualiza- tion results are said to be “too generous”, prov...
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my.utm.144392017-08-09T08:31:01Z http://eprints.utm.my/id/eprint/14439/ An algorithm for treating uncertainties in the visualization of pipeline sensors' datasets A. Folorunso, Olufemi Sunar, Mohd. Shahrizal Kari, Sarudin QA75 Electronic computers. Computer science Researchers have seen visualization as a tool in presenting data based on available datasets. Its usage is however undermined by its inability to ac- knowledge the associated uncertainties in real world measurements. Visualiza- tion results are said to be “too generous”, providing us with visual assumptions that though, may not be too far from reality, but the associated inaccuracies could become significant when dealing with life dependant datasets. Uncer- tainty reality is now becoming a significant research interest. In most cases ac- curacy is a neglected issue. Two wrong assumptions are believed; the first is that the data visualized is accurate, and the second is that the visualization proc- ess is exempt from errors. The objectives of this paper are to present the impli- cations of inaccuracies and propose a treatment algorithm for the visualizations of pipeline sensors’ datasets. The paper also features attributes that gives a user an idea of sensors’ datasets inaccuracies. Springer 2009 Book Section PeerReviewed A. Folorunso, Olufemi and Sunar, Mohd. Shahrizal and Kari, Sarudin (2009) An algorithm for treating uncertainties in the visualization of pipeline sensors' datasets. In: Visual Informatics: Bridging Research and Practice. Springer, Berlin/ Heidelberg, pp. 561-572. ISBN 978-3-642-05035-0 |
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QA75 Electronic computers. Computer science A. Folorunso, Olufemi Sunar, Mohd. Shahrizal Kari, Sarudin An algorithm for treating uncertainties in the visualization of pipeline sensors' datasets |
description |
Researchers have seen visualization as a tool in presenting data based
on available datasets. Its usage is however undermined by its inability to ac-
knowledge the associated uncertainties in real world measurements. Visualiza-
tion results are said to be “too generous”, providing us with visual assumptions
that though, may not be too far from reality, but the associated inaccuracies
could become significant when dealing with life dependant datasets. Uncer-
tainty reality is now becoming a significant research interest. In most cases ac-
curacy is a neglected issue. Two wrong assumptions are believed; the first is
that the data visualized is accurate, and the second is that the visualization proc-
ess is exempt from errors. The objectives
of this paper are to present the impli-
cations of inaccuracies and propose a treatment algorithm for the visualizations
of pipeline sensors’ datasets. The paper also features attributes that gives a user
an idea of sensors’ datasets inaccuracies. |
format |
Book Section |
author |
A. Folorunso, Olufemi Sunar, Mohd. Shahrizal Kari, Sarudin |
author_facet |
A. Folorunso, Olufemi Sunar, Mohd. Shahrizal Kari, Sarudin |
author_sort |
A. Folorunso, Olufemi |
title |
An algorithm for treating uncertainties in the visualization of pipeline sensors' datasets |
title_short |
An algorithm for treating uncertainties in the visualization of pipeline sensors' datasets |
title_full |
An algorithm for treating uncertainties in the visualization of pipeline sensors' datasets |
title_fullStr |
An algorithm for treating uncertainties in the visualization of pipeline sensors' datasets |
title_full_unstemmed |
An algorithm for treating uncertainties in the visualization of pipeline sensors' datasets |
title_sort |
algorithm for treating uncertainties in the visualization of pipeline sensors' datasets |
publisher |
Springer |
publishDate |
2009 |
url |
http://eprints.utm.my/id/eprint/14439/ |
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1643646394898055168 |
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13.209306 |