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2014 | OriginalPaper | Buchkapitel

Automatic Computation of Crossing Point Numbers Within Orthogonal Interpolation Line-Graphs

verfasst von : Victor J. Law, Feidhlim T. O’Neill, Denis P. Dowling

Erschienen in: How Nature Works

Verlag: Springer International Publishing

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Abstract

The recording of atmospheric pressure plasmas (APP) electro-acoustic emission data has been developed as a plasma metrology tool over the last couple of years. In this work low moment analysis of acoustic time-series data is examined for structure complexity (in terms crossing points) within 2- and 3-dimensional time-series line graph datasets for the purpose of plasma control. A theoretical analysis of the structural complexity analysis is given, and the embedding algorithms obtained are implemented using LabVIEW™ for the purpose of real-time plasma control. The software uses a threshold segmentation process to map high contrast images of the line-graphs into binary (red and black) images that maps particles (red) directly to the number of crossing points within the cluster. It is found that single and bimodal cluster systems can be analyzed within the pixelation error limit. The approach taken here is generic and may be transferred to other (non-acoustic) datasets.

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Vorheriges Kapitel Stochastic Complexity Analysis in Synthetic Biology

Nächstes Kapitel Computational Tactic to Retrieve a Complex Seismic Structure of the Hydrocarbon Model

The complete program may be obtained from the Author (victor.law@ucd.ie). In addition information on National Instruments LabVIEW software can also be found at http://www.ni.com/.

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Titel: Automatic Computation of Crossing Point Numbers Within Orthogonal Interpolation Line-Graphs
verfasst von: Victor J. Law
Feidhlim T. O’Neill
Denis P. Dowling
Verlag: Springer International Publishing
Buch: How Nature Works
Print ISBN: 978-3-319-00253-8

Electronic ISBN: 978-3-319-00254-5

Copyright-Jahr: 2014
DOI: https://doi.org/10.1007/978-3-319-00254-5_9

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