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NASA Scientific and Technical Aerospace Reports

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20040111743 Northrop Grumman Mission Systems, Reston, VA<br />

Digital Proficiency Levels for the Brigade <strong>and</strong> Battalion Battle Staff<br />

Leibrecht, Bruce C.; Lockaby, Karen J.; Perrault, Andrew M.; Meliza, Larry L.; Jul. 2004; 78 pp.; In English<br />

Contract(s)/Grant(s): DASW01-99-D-0013; Proj-2O262785A790<br />

Report No.(s): AD-A425934; ARI-RR-1826; No Copyright; Avail: CASI; A05, Hardcopy<br />

This report results from ongoing work to develop a digital proficiency measurement architecture that includes the battle<br />

staff equipped with the Army Tactical Comm<strong>and</strong> <strong>and</strong> Control System (ATCCS). The report first examines primary dimensions<br />

of ATCCS-enabled performance, including major system capabilities, high- payoff user skills <strong>and</strong> tasks, <strong>and</strong> network<br />

management skills. It then explores how ATCCS exploitation contributes to critical staff functions, with an emphasis on<br />

integration across Battlefield Operating Systems (BOSs). The discussion includes findings on brigade versus battalion<br />

differences <strong>and</strong> digital versus analog staff processes. A family of proficiency level matrixes is presented for six major staff<br />

sections. Finally, the report discusses implications of the findings for digital proficiency measurement <strong>and</strong> after action review<br />

(AAR) procedures. Altogether the findings point to high-payoff proficiency targets, paving the way for ATCCS exploitation<br />

guidelines <strong>and</strong> analysis of measurement <strong>and</strong> AAR requirements for the Future Force. The report includes recommendations<br />

for harnessing the knowledge products.<br />

DTIC<br />

Abilities; Comm<strong>and</strong> <strong>and</strong> Control; Data Systems; Digital Systems<br />

20040112037 <strong>NASA</strong> Langley Research Center, Hampton, VA, USA<br />

A Gamma Memory Neural Network for System Identification<br />

Motter, Mark A.; Principe, Jose C.; [1992]; 6 pp.; In English<br />

Contract(s)/Grant(s): NSF 92-0878; No Copyright; Avail: CASI; A02, Hardcopy<br />

A gamma neural network topology is investigated for a system identification application. A discrete gamma memory<br />

structure is used in the input layer, providing delayed values of both the control inputs <strong>and</strong> the network output to the input<br />

layer. The discrete gamma memory structure implements a tapped dispersive delay line, with the amount of dispersion<br />

regulated by a single, adaptable parameter. The network is trained using static back propagation, but captures significant<br />

features of the system dynamics. The system dynamics identified with the network are the Mach number dynamics of the 16<br />

Foot Transonic Tunnel at <strong>NASA</strong> Langley Research Center, Hampton, Virginia. The training data spans an operating range of<br />

Mach numbers from 0.4 to 1.3.<br />

Author<br />

Memory (Computers); Neural Nets; System Identification; Topology; Mathematical Models<br />

20040120986 <strong>NASA</strong> Langley Research Center, Hampton, VA, USA<br />

The Use of a Microcomputer Based Array Processor for Real Time Laser Velocimeter Data Processing<br />

Meyers, James F.; [1990]; 15 pp.; In English; Fifth International Symposium on Applications of Laser Techniques to Fluid<br />

Mechanics, 9-12 Jul. 1990, Lisbon, Portugal; Original contains color illustrations; No Copyright; Avail: CASI; A03, Hardcopy<br />

The application of an array processor to laser velocimeter data processing is presented. The hardware is described along<br />

with the method of parallel programming required by the array processor. A portion of the data processing program is<br />

described in detail. The increase in computational speed of a microcomputer equipped with an array processor is illustrated<br />

by comparative testing with a minicomputer.<br />

Author<br />

Data Processing; Laser Doppler Velocimeters; Microcomputers; Real Time Operation; Arrays<br />

20040121020 <strong>NASA</strong> Goddard Space Flight Center, Greenbelt, MD, USA<br />

<strong>NASA</strong>/IEEE MSST 2004 Twelfth <strong>NASA</strong> Goddard Conference on Mass Storage Systems <strong>and</strong> Technologies in<br />

cooperation with the Twenty-First IEEE Conference on Mass Storage Systems <strong>and</strong> Technologies<br />

Kobler, Ben, Editor; Hariharan, P. C., Editor; April 2004; 469 pp.; In English; <strong>NASA</strong>/IEEE MSST 2004 Twelfth <strong>NASA</strong><br />

Goddard Conference on Mass Storage Systems <strong>and</strong> Technologies, 13-16 Apr. 2004, Adelphi, MD, USA; See also<br />

20040121021 - 20040121062<br />

Report No.(s): <strong>NASA</strong>/CP-2004-212750; No Copyright; Avail: CASI; A20, Hardcopy<br />

MSST2004, the Twelfth <strong>NASA</strong> Goddard / Twenty-first IEEE Conference on Mass Storage Systems <strong>and</strong> Technologies has<br />

as its focus long-term stewardship of globally-distributed storage. The increasing prevalence of e-anything brought about by<br />

widespread use of applications based, among others, on the World Wide Web, has contributed to rapid growth of online data<br />

234

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