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dc.contributor.authorCrolene, Robert
dc.date.accessioned2016-07-01T20:11:25Z
dc.date.available2016-07-01T20:11:25Z
dc.date.issued1986-10
dc.identifier.issn0884-5123
dc.identifier.issn0074-9079
dc.identifier.urihttp://hdl.handle.net/10150/615397
dc.descriptionInternational Telemetering Conference Proceedings / October 13-16, 1986 / Riviera Hotel, Las Vegas, Nevadaen_US
dc.description.abstractWeapon system complexity and its data expression have become a central issue for the Range Directorate at the Pacific Missile Test Center (PMTC). Increasing data complexity and data product turnaround requirements have created a technological push-pull on traditional data processing methods. Several possible responses are discussed which include distributed front and back end processing relative to the large mainframes, and increasing use of artificial intelligence techniques in the data reduction area. These methods are going through progressive steps of implementation at PMTC with some notable success.
dc.description.sponsorshipInternational Foundation for Telemeteringen
dc.language.isoen_USen
dc.publisherInternational Foundation for Telemeteringen
dc.relation.urlhttp://www.telemetry.org/en
dc.rightsCopyright © International Foundation for Telemeteringen
dc.titleSYSTEMS AND METHODS TO REDUCE DATA PROCESSING TURNAROUND TIMEen_US
dc.typetexten
dc.typeProceedingsen
dc.contributor.departmentPacific Missile Test Centeren
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
refterms.dateFOA2018-06-24T07:59:43Z
html.description.abstractWeapon system complexity and its data expression have become a central issue for the Range Directorate at the Pacific Missile Test Center (PMTC). Increasing data complexity and data product turnaround requirements have created a technological push-pull on traditional data processing methods. Several possible responses are discussed which include distributed front and back end processing relative to the large mainframes, and increasing use of artificial intelligence techniques in the data reduction area. These methods are going through progressive steps of implementation at PMTC with some notable success.


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