Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Yong Song | - |
dc.contributor.author | Lee, Seonghun | - |
dc.contributor.author | Ijaz, Umer Zeeshan | - |
dc.contributor.author | Kim, Kyung Youn | - |
dc.contributor.author | Choi, Bong Yeol | - |
dc.date.available | 2017-05-11T02:02:39Z | - |
dc.date.created | 2017-04-10 | - |
dc.date.issued | 2007-07 | - |
dc.identifier.issn | 0957-0233 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11750/1709 | - |
dc.description.abstract | This work is concerned with the generation of sensitivity maps in electrical capacitance tomography based on the concepts of electrical field centre lines. Electrical capacitance tomography systems are normalized at the upper and lower permittivity values for image reconstruction. Conventional normalization assumes the distribution of materials in parallel and results in normalized capacitance as a linear function of measured capacitance. A recent approach is the usage of a series sensor model which results in normalized capacitance as a nonlinear function of measured capacitance. In this study different forms of normalizations are combined with sensitivity maps based on electrical field centre lines and it is shown that a mix of two normalization models improves the reconstruction performance. © 2007 IOP Publishing Ltd. | - |
dc.language | English | - |
dc.publisher | Institute of Physics and the Physical Society | - |
dc.title | Sensitivity map generation in electrical capacitance tomography using mixed normalization models | - |
dc.type | Article | - |
dc.identifier.doi | 10.1088/0957-0233/18/7/040 | - |
dc.identifier.wosid | 000247400800044 | - |
dc.identifier.scopusid | 2-s2.0-34250744070 | - |
dc.identifier.bibliographicCitation | Measurement Science and Technology, v.18, no.7, pp.2092 - 2102 | - |
dc.description.isOpenAccess | FALSE | - |
dc.subject.keywordAuthor | sensitivity map | - |
dc.subject.keywordAuthor | electrical capacitance tomography | - |
dc.subject.keywordAuthor | thresholding model | - |
dc.subject.keywordAuthor | adaptive model | - |
dc.subject.keywordPlus | Adaptive Model | - |
dc.subject.keywordPlus | Capacitance | - |
dc.subject.keywordPlus | Electric Field Effects | - |
dc.subject.keywordPlus | Electrical Capacitance Tomography | - |
dc.subject.keywordPlus | Function Evaluation | - |
dc.subject.keywordPlus | IMAGE-RECONSTRUCTION ALGORITHMS | - |
dc.subject.keywordPlus | Mathematical Models | - |
dc.subject.keywordPlus | PRINCIPLES | - |
dc.subject.keywordPlus | Sensitivity Map | - |
dc.subject.keywordPlus | Sensors | - |
dc.subject.keywordPlus | Thresholding Model | - |
dc.subject.keywordPlus | Tomography | - |
dc.citation.endPage | 2102 | - |
dc.citation.number | 7 | - |
dc.citation.startPage | 2092 | - |
dc.citation.title | Measurement Science and Technology | - |
dc.citation.volume | 18 | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering; Instruments & Instrumentation | - |
dc.relation.journalWebOfScienceCategory | Engineering, Multidisciplinary; Instruments & Instrumentation | - |
dc.type.docType | Article | - |
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