NASA Scientific and Technical Aerospace Reports
NASA Scientific and Technical Aerospace Reports
NASA Scientific and Technical Aerospace Reports
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implemented within the OPTO-22 framework <strong>and</strong> makes recommendations regarding future uses of the hardware <strong>and</strong> software<br />
for biological research by <strong>NASA</strong>.<br />
Author<br />
Algorithms; Control Systems Design; Humidity; Vapor Pressure<br />
65<br />
STATISTICS AND PROBABILITY<br />
Includes data sampling <strong>and</strong> smoothing; Monte Carlo method; time series analysis; <strong>and</strong> stochastic processes.<br />
20040111226 <strong>NASA</strong> Langley Research Center, Hampton, VA, USA<br />
Computer-Simulation Surrogates for Optimization: Application to Trapezoidal Ducts <strong>and</strong> Axisymmetric Bodies<br />
Otto, John C.; Paraschivoiu, Marius; Yesilyurt, Serhat; Patera, Anthony T.; July 10, 1995; 9 pp.; In English; ASME<br />
International Mechanical Engineering Conference <strong>and</strong> Exposition, 12-17 Nov. 1995, San Francisco, CA, USA<br />
Contract(s)/Grant(s): N00014-91-J-1889; N00014-90-J-4124; N00014-89-J-1610; F49620-94-1-0121; NAG1-1613; No<br />
Copyright; Avail: CASI; A02, Hardcopy<br />
Engineering design <strong>and</strong> optimization efforts using computational systems rapidly become resource intensive. The goal of<br />
the surrogate-based approach is to perform a complete optimization with limited resources. In this paper we present a<br />
Bayesian-validated approach that informs the designer as to how well the surrogate performs; in particular, our surrogate<br />
framework provides precise (albeit probabilistic) bounds on the errors incurred in the surrogate-for-simulation substitution.<br />
The theory <strong>and</strong> algorithms of our computer{simulation surrogate framework are first described. The utility of the framework<br />
is then demonstrated through two illustrative examples: maximization of the flowrate of fully developed ow in trapezoidal<br />
ducts; <strong>and</strong> design of an axisymmetric body that achieves a target Stokes drag.<br />
Author<br />
Algorithms; Axisymmetric Bodies; Computerized Simulation; Mathematical Models; Shape Optimization; Ducted Flow;<br />
Trapezoids<br />
20040111642 Massachusetts Inst. of Tech., Cambridge, MA<br />
Multiresolution, Geometric, <strong>and</strong> Learning Methods in Statistical Image Processing, Object Recognition, <strong>and</strong> Sensor<br />
Fusion<br />
Willsky, Alan S.; Jul. 23, 2004; 27 pp.; In English<br />
Contract(s)/Grant(s): F49620-00-1-0362<br />
Report No.(s): AD-A425745; AFRL-SR-AR-TR-04-0440; No Copyright; Avail: CASI; A03, Hardcopy<br />
This report summarizes our accomplishments during the most recent period of support under this grant. Our research<br />
covers several interrelated areas: (a) statistical modeling methods for complex phenomena using multiresolution, hierarchical,<br />
<strong>and</strong> relational structures; (b)sensor fusion for complex space-time phenomena <strong>and</strong> activities; (c) development of statistical<br />
models for shapes <strong>and</strong> their use in robust methods for shape estimation <strong>and</strong> recognition; <strong>and</strong> (d) methods for blending physics<br />
<strong>and</strong> statistical learning in image reconstruction, feature extraction, <strong>and</strong> fusion. Our research blends methods from several<br />
fields-statistics <strong>and</strong> probability, signal <strong>and</strong> image processing, mathematical physics, scientific computing, statistical learning<br />
theory, <strong>and</strong> differential geometry-to produce new approaches to emerging <strong>and</strong> challenging problems in signal <strong>and</strong> image<br />
processing, <strong>and</strong> each aspect of our program contains both fundamental research in mathematical sciences <strong>and</strong> important<br />
applications of direct relevance to Air Force missions. In particular, our research is relevant to automatic target recognition<br />
based on synthetic aperture radar <strong>and</strong> laser radar imagery; wide-area surveillance <strong>and</strong> information preparation of the<br />
battlefield; global awareness <strong>and</strong> higher-level fusion for situational assessment; <strong>and</strong> fusion of multiple heterogeneous sensors.<br />
In all of these areas we have contacts <strong>and</strong> interactions with AFRL staff <strong>and</strong> with industry involved in Air Force programs.<br />
DTIC<br />
Image Processing; Image Resolution; Multisensor Fusion; Pattern Recognition<br />
20040111723 Maryl<strong>and</strong> Univ., College Park, MD<br />
Integrated Simulation-Based Methodologies for Planning <strong>and</strong> Estimation<br />
Marcus, Steven I.; Fu, Michael C.; Willsky, Alan S.; Aug. 2004; 12 pp.; In English<br />
Contract(s)/Grant(s): F49620-01-1-0161<br />
Report No.(s): AD-A425892; AFRL-SR-AR-TR-04-0456; No Copyright; Avail: CASI; A03, Hardcopy<br />
Significant progress was made in a number of proposed research areas. The first major task in the proposal involved<br />
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