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Interactive Feature Extraction From Multivariate Production Data

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Rezvani, S, Prasad, G, Muir, J and McCraken, K (2003) Interactive Feature Extraction From Multivariate Production Data. In: 3rd International Workshop on Pattern Recognition in Information Systems, PRIS 2003. 3rd International Workshop on Pattern Recognition in Information Systems, PRIS 2003. 12 pp. [Conference contribution]

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Abstract

As part of a research programme between the University of Ulsterand a polymeric manufacturing company, the interrelationships andperformance attributes of polymeric components used in adhesivesmanufactured for medical packaging are being studied. To understand theinteractions between the parameters, to select the optimal manufacturingprocesses and to improve economic factors within this investigation, a series ofmultidimensional data processing and visualisation methods such as PrincipalComponent Mapping (PCM), Curvilinear Component Mapping (CCM) andSammon Mapping have been examined. As a novel approach to multivariatedata visualisation and analysis, these techniques were employed in such a waythat interactive multi-layer maps could be generated. Each layer within thisfeature extraction technique corresponds to a specific attribute andcharacteristic of the dataset. Activation and superimpositions of individuallayers allow studying manufacturing attributes, parameter interactions andproduct formulations,

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Art, Design and the Built Environment
Faculty of Computing & Engineering
Faculty of Art, Design and the Built Environment > School of the Built Environment
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:18497
Deposited By:Professor Girijesh Prasad
Deposited On:16 May 2011 11:46
Last Modified:20 May 2011 15:27

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