Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Michael A. Schaffner"'
Autor:
Michael A. Schaffner
Publikováno v:
INCOSE International Symposium. 26:1770-1782
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e09aeba8e4ad723a5fe570284de5d4d1
https://doi.org/10.1002/j.2334-5837.2016.00260.x
https://doi.org/10.1002/j.2334-5837.2016.00260.x
Publikováno v:
CSER
The current defense acquisition environment includes much uncertainty regarding future budgets, political developments, and global geopolitical events. With affordability of systems now mandated by the US Department of Defense, it is imperative to en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5507ced7fc00b2e6a66485961b73aee
Publikováno v:
CSER
In the design of complex systems, models can be used to predict a future system's performance as well as approximate stakeholder preferences on performance. This paper examines the problem of model truthfulness and the challenge of trusting models, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fbd8c78968b17dab3dbf2b2b4d34b08
https://doi.org/10.1016/j.procs.2014.03.037
https://doi.org/10.1016/j.procs.2014.03.037
Acquiring defense systems in the face of urgent needs, budget challenges, and scarce resources drives the need for designing affordable systems by anticipating uncertain futures and related mission volatility. Despite recent strategies to mandate des
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bf06d373b25216035024e575c2939f6
https://doi.org/10.21236/ada585035
https://doi.org/10.21236/ada585035
Autor:
A. B. Sanin, Gordon Chin, Michael A. Schaffner, A. V. Malakhov, G. Droege, T. P. McClanahan, James B. Garvin, I. G. Mitrofanov, K. Harshman, William V. Boynton, R. Z. Sagdeev, Larry G. Evans, G. M. Milikh, R. D. Starr, M. L. Litvak
Publikováno v:
Journal of Geophysical Research: Planets. 117
The data from the collimated sensors of the LEND instrument are shown to be of exceptionally high quality. Counting uncertainties are about 0.3% relative and are shown to be the only significant source of random error, thus conclusions based on small
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6fe410b4005084859c84d07ab6bdfbb
https://doi.org/10.1029/2011je003979
https://doi.org/10.1029/2011je003979