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'So much for snapshots': The material relations of tourists as cultural dupes


Picken, F, 'So much for snapshots': The material relations of tourists as cultural dupes, Tourist Studies: An international journal, 14, (3) pp. 246-260. ISSN 1468-7976 (2014) [Refereed Article]

Copyright Statement

Copyright 2014 The Authors

DOI: doi:10.1177/1468797614536317


Copyright © 2014 by ASME. A methodology for pipeline leakage detection, together with isolating the size of the leak and the leakage location, using an evidential reasoning based approach is presented. Leakage in pipes produces two major effects, a change in the difference between inlet flow and outlet flow, and, an average pressure change over time. Each of these changes, although in reality coupled, can be thought of as providing two independent bodies of evidence (typically incomplete and non-specific) which can give hints of the occurance of a leak. Inference using traditional Bayesian analysis involves assumptions in cases of incomplete information and partial ignorance. Evidential reasoning, also called the Dempster-Shafer (DS) theory, has proved very useful for such situations and has the ability to incorporate both aleatory and epistemic uncertainities in the inference mechanism. The bodies of evidence from the changes mentioned above are mapped over a 'frame of discernment' of risk of leakage and subsequently the DS rule of combination is applied to make an inference on the occurence, size and location of a leak. What is described below is a novel methodology as to how a system based on the evidential reasoning approach may be trained to detect and locate leaks in compressible flow in a pipeline. The evidential reasoning based approach is trained off-line with the results encouraging.

Item Details

Item Type:Refereed Article
Research Division:Human Society
Research Group:Anthropology
Research Field:Anthropology not elsewhere classified
Objective Division:Culture and Society
Objective Group:Communication
Objective Field:Communication not elsewhere classified
UTAS Author:Picken, F (Dr Felicity Picken)
ID Code:90111
Year Published:2014
Web of Science® Times Cited:10
Deposited By:School of Social Sciences
Deposited On:2014-03-27
Last Modified:2015-05-07

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