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dc.contributor.authorGrubbs, Elmer A.
dc.date.accessioned2015-09-16T20:58:25Zen
dc.date.available2015-09-16T20:58:25Zen
dc.date.issued2014-10en
dc.identifier.issn0884-5123en
dc.identifier.issn0074-9079en
dc.identifier.urihttp://hdl.handle.net/10150/577415en
dc.descriptionITC/USA 2014 Conference Proceedings / The Fiftieth Annual International Telemetering Conference and Technical Exhibition / October 20-23, 2014 / Town and Country Resort & Convention Center, San Diego, CAen_US
dc.description.abstractThis paper describes a new way to look at telemetry data. We examine a way to use virtual or also augmented reality to evaluate and view data from a large collection of stored signals. Each individual signal will have limits associated with it that allow us to determine whether any part of the signal exceeds those limits and if so what part(s) of the waveform contain these abnormalities. A simple program to illustrate the basic technique has been written and will be demonstrated as part of the presentation.
dc.description.sponsorshipInternational Foundation for Telemeteringen
dc.language.isoen_USen
dc.publisherInternational Foundation for Telemeteringen
dc.relation.urlhttp://www.telemetry.org/en
dc.rightsCopyright © held by the author; distribution rights International Foundation for Telemeteringen_US
dc.titleA Program to Display Big Dataen_US
dc.typetexten
dc.typeProceedingsen
dc.contributor.departmentUniversity of Arizonaen
dc.contributor.departmentNorthern Arizona Universityen
dc.identifier.journalInternational Telemetering Conference Proceedingsen
dc.description.collectioninformationProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.en_US
refterms.dateFOA2018-06-25T00:40:14Z
html.description.abstractThis paper describes a new way to look at telemetry data. We examine a way to use virtual or also augmented reality to evaluate and view data from a large collection of stored signals. Each individual signal will have limits associated with it that allow us to determine whether any part of the signal exceeds those limits and if so what part(s) of the waveform contain these abnormalities. A simple program to illustrate the basic technique has been written and will be demonstrated as part of the presentation.


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