Air Traffic Simulation Modelling by Alam Sameer (17 results)
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Taschenbuch. Condition: Neu. Air Traffic Simulation and Modelling | Evolving Complex Scenario for Evaluating Advanced Air Traffic Management Concepts | Sameer Alam | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2009 | VDM Verlag Dr. Müller | EAN 9783639022551 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co.…KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.
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- Softcover
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
- Softcover
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Alam SameerDr. Sameer Alam is a Research Fellow at the University of New nSouth Wales, Australian Defence Force Academy, Australia. He nholds M.Tech. and Ph.D. in Computer Scien…ce. He has published nover 10 research papers. He is a r.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Evaluation of advanced Air Traffic Management concepts is a challenging task due to the limitations in the existing scenario generation methodologies. Their rigorous evaluation on safety metrics, in a variety of complex scenarios, can pr…ovide an insight into their performance, which can help improve upon them while developing new ones.In this work, I propose an air traffic simulation system, with a novel representation of airspace, which can prototype advanced ATM concepts. I then propose a novel evolutionary computation methodology to algorithmically generate conflict scenarios of increasing complexity in order to evaluate conflict detection algorithms.I illustrate the methodology by quantitative evaluation of three conflict detection algorithms on safety metrics. I then propose the use of data mining techniques for the discovery of interesting relationships, that may exist implicitly, in the algorithm''s performance data.This relationships are formed as a predictive model for algorithm''s vulnerability which can then be included in an ensemble that can minimize the overall vulnerability of the system.
