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A methodology for capability-based t...
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Biltgen, Patrick Thomas.
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A methodology for capability-based technology evaluation for systems-of-systems.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
A methodology for capability-based technology evaluation for systems-of-systems./
作者:
Biltgen, Patrick Thomas.
面頁冊數:
512 p.
附註:
Adviser: Dimitri Mavris.
Contained By:
Dissertation Abstracts International68-05B.
標題:
Engineering, Aerospace. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3261623
ISBN:
9780549002031
A methodology for capability-based technology evaluation for systems-of-systems.
Biltgen, Patrick Thomas.
A methodology for capability-based technology evaluation for systems-of-systems.
- 512 p.
Adviser: Dimitri Mavris.
Thesis (Ph.D.)--Georgia Institute of Technology, 2007.
The methodology developed in this dissertation is applied to a notional Long Range Strike air vehicle and system architecture in the context of quantitative technology evaluation for the United States Air Force.
ISBN: 9780549002031Subjects--Topical Terms:
1018395
Engineering, Aerospace.
A methodology for capability-based technology evaluation for systems-of-systems.
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The methodology developed in this dissertation is applied to a notional Long Range Strike air vehicle and system architecture in the context of quantitative technology evaluation for the United States Air Force.
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Post-Cold War military conflicts have highlighted the need for a flexible, agile joint force responsive to emerging crises around the globe. The 2005 Joint Capabilities Integration and Development System (JCIDS) acquisition policy document mandates a shift away from stove-piped threat-based acquisition to a capability-based model focused on the multiple ways and means of achieving an effect. This shift requires a greater emphasis on scenarios, tactics, and operational concepts during the conceptual phase of design and structured processes for technology evaluation to support this transition are lacking.
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In this work, a methodology for quantitative technology evaluation for systems-of-systems is defined. Physics-based models of an aircraft system are exercised within a hierarchical, object-oriented constructive simulation to quantify technology potential in the context of a relevant scenario. A major technical challenge to this approach is the lack of resources to support real-time human-in-the-loop tactical decision making and technology analysis. An approach that uses intelligent agents to create a "Meta-General" capable of forecasting strategic and tactical decisions based on technology inputs is used. To demonstrate the synergy between new technologies and tactics, surrogate models are utilized to provide intelligence to individual agents within the framework and develop a set of tactics that appropriately exploit new technologies.
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To address the long run-times associated with constructive military simulations, neural network surrogate models are implemented around the forecasting environment to enable rapid trade studies. Probabilistic techniques are used to quantify uncertainty and richly populate the design space with technology-infused alternatives. Since a large amount of data is produced in the analysis of systems-of-systems, dynamic, interactive visualization techniques are used to enable "what-if" games on assumptions, systems, technologies, tactics, and evolving threats.
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