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Author: Parham Piroozan

Affiliation: California State Polytechnic University and Pomona, United States

Keyword(s): Real-time Recognition of Fringe Patterns, Neural Networks, Interferometric Reflection Moiré, Pressure Sensor, Electro-optic System.

Related Ontology Subjects/Areas/Topics: Applications ; Cardiovascular Imaging and Cardiography ; Cardiovascular Technologies ; Computer Vision, Visualization and Computer Graphics ; Data Engineering ; Health Engineering and Technology Applications ; Image Understanding ; Information Retrieval ; Learning of Action Patterns ; Ontologies and the Semantic Web ; Pattern Recognition ; Signal Processing ; Software Engineering

Abstract: Retrieving information in real time from fringe patterns is a topic of great importance in scientific and engineering applications of optical methods. This paper describes an application of neural networks for real time pressure measurement using fringe pattern recognition. It is based on the capability of neural networks to recognize signals that are similar but not identical to the signals which were used to train the network. In this investigation a pressure sensor, which was part of the wall of the wind tunnel, and an optical apparatus were used to produce moiré fringes. The fringe patterns generated were analyzed by a back propagation neural network at the speed of the recording device, which was a CCD camera. This method of information retrieval was used to measure the pressure fluctuations in the boundary layer flow. A second neural network was used to recognize the pressure patterns and to provide input to a control system that was capable to preserve the stability of t he flow. (More)

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Paper citation in several formats:
Piroozan, P. (2016). Pattern Recognition in Real Time using Neural Networks: An Application for Pressure Measurement. In Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-173-1; ISSN 2184-4313, SciTePress, pages 566-572. DOI: 10.5220/0005673105660572

@conference{icpram16,
author={Parham Piroozan},
title={Pattern Recognition in Real Time using Neural Networks: An Application for Pressure Measurement},
booktitle={Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2016},
pages={566-572},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005673105660572},
isbn={978-989-758-173-1},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Pattern Recognition in Real Time using Neural Networks: An Application for Pressure Measurement
SN - 978-989-758-173-1
IS - 2184-4313
AU - Piroozan, P.
PY - 2016
SP - 566
EP - 572
DO - 10.5220/0005673105660572
PB - SciTePress

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