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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Al-Afeef, A. Alaa, F.S. Al-Rabea, A. |
| Copyright Year | 2010 |
| Description | Author affiliation: Information Technology Department, Al-Balqa Applied University (BAU), Salt, Jordan (Al-Afeef, A.; Al-Rabea, A.) || Computers and Systems Department Electronics Research Institute (ERI), Cairo, Egypt (Alaa, F.S.) |
| Abstract | Electrical Capacitance Tomography (ECT) is one of the most attractive technique for industrial process imaging because of its low construction cost, safety, non-invasiveness, non-intrusiveness, fast data acquisition, simple structure, wide application field and suitability for most kinds of flask and vessels. However, image reconstruction based ECT suffers many limitations. They include the Soft-field and Ill-condition characteristic of ECT. The basic idea of the ECT for image reconstruction for a metal fill problem is to model the image pixels as a function of the capacitance measurements. Developing this relationship represents a challenge for systems engineering community. In this paper, we presents our innovative idea on solving the non-linear inverse problem for conductive materials of the ECT using Genetic Programming (GP). GP found to be a very efficient algorithm in producing a mathematical model of image pixels in the form of Lisp expression. The reported results are promising. |
| Starting Page | 12 |
| Ending Page | 17 |
| File Size | 702031 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424481347 |
| e-ISBN | 9781424481361 |
| DOI | 10.1109/ISDA.2010.5687299 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-11-29 |
| Publisher Place | Egypt |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Electrodes Casting Electrical Capacitance Tomography Metals Image Reconstruction Capacitance measurement Mathematical model Genetic Programming Process Tomography Image reconstruction Pixel |
| Content Type | Text |
| Resource Type | Article |
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