Evaluation of Systems Engineering Methods, Processes and Tools on Department of Defense and Intelligence Community Programs. Phase 1

2009 ◽  
Author(s):  
Anne Carrigy ◽  
Ed Colbert ◽  
Paul Componation ◽  
Julie Fortune ◽  
Lucas Layman ◽  
...  
Keyword(s):  
Systems Engineering ◽  
Department Of Defense ◽  
Phase 1 ◽  
Intelligence Community ◽  
Community Programs

Interactive Model-Centric Systems Engineering (IMCSE) Phase 1

2014 ◽  
Author(s):  
Donna H. Rhodes ◽  
Adam M. Ross ◽  
Paul Grogan ◽  
Olivier de Weck
Keyword(s):  
Systems Engineering ◽  
Phase 1 ◽  
Interactive Model

The Dilemma of Defense Intelligence

2010 ◽  
pp. 421-435
Author(s):  
Richard A. Best
Keyword(s):  
Department Of Defense ◽  
Intelligence Community ◽  
National Security Agency ◽  
Intelligence Agency ◽  
Community Agencies ◽  
Future Space ◽  
Defense Intelligence ◽  
Relationship Of ◽  
Coordination And Collaboration ◽  
The Impact

This article discusses the dilemma of the defense intelligence. It discusses the interweaving yet complicated relationship of the Department of Defense (DOD) and the Office of Director of National Intelligence (ODNI). Immersed in a divided and a “stovepiped” culture, the member agencies of the intelligence community lacked coordination and collaboration. In this article, the nature of the three agencies of the DOD: the National Security Agency (NSA), the National Reconnaissance Office (NRO), and the National Geospatial-Intelligence Agency (NGA) are discussed. The evolution of coordination among the intelligence community agencies and the impact of 9/11 on the cooperation and collaboration between the agencies are also discussed including the era of the Director of National Intelligence (DNI) and the challenges posed by the future space surveillance.

The U.S. Department of Defense Systems Engineering Competency Model

2017 ◽  
Vol 27 (1) ◽  
pp. 214-228 ◽  
Author(s):  
Clifford A. Whitcomb ◽  
Corina White ◽  
Rabia Khan ◽  
Dana Grambow ◽  
Jose Velez ◽  
...  
Keyword(s):  
Systems Engineering ◽  
Department Of Defense ◽  
Competency Model ◽  
Defense Systems ◽  
The U.S

Resilience in engineered resilient systems

2018 ◽  
Vol 17 (4) ◽  
pp. 435-446 ◽  
Author(s):  
Randy K Buchanan ◽  
Simon R Goerger ◽  
Christina H Rinaudo ◽  
Greg Parnell ◽  
Adam Ross ◽  
...  
Keyword(s):  
Modeling And Simulation ◽  
Design Process ◽  
Systems Engineering ◽  
Department Of Defense ◽  
Engineering Analysis ◽  
Multiple Perspectives ◽  
Model Based ◽  
Environment Research

Dynamically transforming mission contexts in conjunction with ever-increasing budgetary constraints provides great impetus for the Department of Defense (DoD) to identify resilient systems early in the design process. The engineered resilient systems (ERS) community of interest (COI) research efforts focus on identifying and quantifying methods to perform systems engineering analysis in a model-based physics-driven environment. Research conducted has approached resiliency from various perspectives, including inherent resilience, mission and platform resilience, and value-driven resilient tradespace. This article examines resilience in an ERS context and presents multiple perspectives of resilience for consideration when developing modeling and simulation platforms to support analysis of systems under acquisition consideration.

scholarly journals Phase 1 Testing of the Redundant Internal Mechanical Start System for the Ship Service Gas Turbine Generator Sets on the U.S. Navy’s DDG-51 Class Ships

1997 ◽  
Author(s):  
Dennis M. Russom ◽  
William E. Masincup ◽  
John Eghtessad
Keyword(s):  
Gas Turbine ◽  
Systems Engineering ◽  
Phase 1 ◽  
Extended Period ◽  
Turbine Generator ◽  
Turbine Engine ◽  
Generator Sets ◽  
Life Predictions ◽  
Successful Phase ◽  
The U.S

The Redundant Independent Mechanical Start System (RIMSS) is a gas turbine powered, mechanically coupled start system for the Allison AG9140 Ship Service Gas Turbine Generator Sets (SSGTGs) of the U.S. Navy’s DDG-51 Class ships. The system will be original equipment on DDG-86 and follow. It will also be a candidate for backfit onto earlier DDG-51 Class ships. This paper describes RIMSS and details a very successful phase of the RIMSS program. All U.S. Navy testing was conducted on an Allison AG9140 located at the Carderock Division, Naval Surface Warfare Center-Ship Systems Engineering Station, DDG-51 Gas Turbine Ship Land Based Engineering Site (NSWCCD-SSES LBES), Figure 1. The test agenda included 516 SSGTG starts and 75 SSGTG motoring cycles. The primary goal was to validate engine life predictions for the Allison 250-C20B gas turbine engine in the RIMSS application. A secondary goal was to evaluate the overall RIMSS system during an extended period of operation.

scholarly journals Budget Funding Priorities and Development Prospects of the US Artificial Intelligence

2021 ◽  
pp. 65-93
Author(s):  
Y. Selyanin
Keyword(s):  
Artificial Intelligence ◽  
National Security ◽  
Department Of Defense ◽  
Large Scale ◽  
Political Leadership ◽  
Intelligence Community ◽  
Existing Problems ◽  
The Us ◽  
Us Government ◽  
Development Prospects

The US Government has initiated a large-scale activity on artificial intelligence (AI) development and implementation. Numerous departments and agencies including the Pentagon, intelligence community and citizen agencies take part in these efforts. Some of them are responsible for technology, materials and standards development. Others are customers of AI. State AI efforts receive significant budget funding. Moreover, Department of Defense costs on AI are comparable with the whole non-defense funding. American world-leading IT companies support state departments and agencies in organizing AI technologies development and implementation. The USA's highest military and political leadership supports such efforts. Congress provides significant requested funding. However leading specialists criticize the state's approach to creating and implementing AI. Firstly, they consider authorized assignments as not sufficient. Secondly, even this funding is used ineffectively. Therefore Congress created National Security Commission on Artificial Intelligence (NSCAI) in 2018 for identifying problems in the AI area and developing solutions. This article looks at the stakeholders and participants of the state AI efforts, the budget funding authorization, the major existing problems and the NSCAI conclusions regarding the necessary AI funding in FYs 2021-2032.

Why Diversity Efforts in the Department of Defense and Intelligence Community have Come Up Short

2010 ◽  
Author(s):  
Charles V. Bush ◽  
Joseph P. Calderon ◽  
Alfredo A. Sandoval ◽  
Juan H. Amaral
Keyword(s):  
Department Of Defense ◽  
Intelligence Community
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