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NASA Scientific and Technical Aerospace Reports

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survive extreme climates, <strong>and</strong> to produce additional nutrients or therapeutics. Biotechnology, from vaccines to sensors to<br />

biometrics, is a cornerstone of homel<strong>and</strong> defense. However, many ethical issues abound, from stem cell research limitations<br />

to acceptance of foodstuffs from genetically modified crops to policies for vaccination against bioterrorism. Because of long<br />

product research, development, <strong>and</strong> testing times, many promising ideas run out of cash. In the wake of a financial downturn,<br />

venture capitalists are cautious, <strong>and</strong> many small companies simply expire. Inefficiencies plague huge investments made by the<br />

U.S. government. Despite economic challenges, the biotechnology industry is poised to be a major factor in the growth of<br />

pharmaceutical <strong>and</strong> agriculture sectors of the U.S. economy. As we enter the ‘Era of the Biomolecule,’ the USA must<br />

implement policies <strong>and</strong> allocate resources to maintain its lead in biotechnology for national security <strong>and</strong> economic power.<br />

DTIC<br />

Armed Forces; Biotechnology; Industries; Medical Services; Security; Universities<br />

20040111499 Defense Acquisition Univ., Fort Belvoir, VA<br />

Defense AT&L: The Soldier-America’s Most Deployed Combat System. Volume 33, Number 3, May-Jun 2004<br />

Moran, James R.; Hunter, Bob; Gadeken, Owen C.; Devine, Michael P.; Sebasto, Anthony J.; Jun. 2004; 108 pp.; In English<br />

Report No.(s): AD-A425473; No Copyright; Avail: CASI; A06, Hardcopy<br />

Defense AT&L magazine is a vehicle for transmitting information on policies, trends, events, <strong>and</strong> current thinking<br />

affecting program management <strong>and</strong> defense acquisition, technology <strong>and</strong> logistics. As the flagship publication of the Defense<br />

Acquisition University, Defense AT&L also disseminates information on training <strong>and</strong> education, continuous learning, <strong>and</strong><br />

e-Learning to those acquisition professionals serving in career positions covered by the Defense Acquisition Workforce<br />

Improvement Act (DAWIA).<br />

DTIC<br />

Combat; Deployment; Logistics Management; Military Personnel<br />

20040111519 Lockheed Martin Tactical Defense Systems, Saint Paul, MN<br />

Unified Collection <strong>and</strong> Coordination for UCAVs<br />

Mahler, Ronald P.; May 28, 2004; 10 pp.; In English<br />

Contract(s)/Grant(s): F49620-01-C-0031<br />

Report No.(s): AD-A425515; AFRL-SR-AR-TR-04-0390; No Copyright; Avail: CASI; A02, Hardcopy<br />

Lockheed Martin Tactical Systems (LMTS) <strong>and</strong> <strong>Scientific</strong> Systems Company, Inc., (SSCI) are conducting a research<br />

program aimed at the problem of managing autonomous, self-reconfiguring swarms of intelligent sensors <strong>and</strong> weapons. Their<br />

goal is a theoretically comprehensive but also potentially practical unification of the two major aspects of the problem:<br />

Multi-Agent Collection (i.e., distributed robust data collection, fusion, <strong>and</strong> interpretation of often poorly characterized or<br />

poorly defined data) <strong>and</strong> Multi-Agent Coordination (i.e., distributed robust platform/sensor monitoring <strong>and</strong> control). Data<br />

fusion/ correlation <strong>and</strong> sensor/platform management is a control theory problem in which the underlying entities (targets,<br />

sensors, data, platforms) are stochastically varying multi-object systems. This necessitates a practical unification of control<br />

theory <strong>and</strong> point process theory. LMTS developed a potentially tractable approach to multisensor, multitarget sensor<br />

management. This approach uses approximate multitarget filters (a probability hypothesis density (PHD) filter or a multiplehypothesis<br />

correlator (MHC) filter) as the underlying multitarget filter/predictor, <strong>and</strong> ‘natural’ probabilistic objective functions<br />

(e.g., posterior expected number of targets) combined with a ‘maxi-PIMS’ optimization strategy for tractably hedging against<br />

unknown future observations. The approach was extended to multi-step, look-ahead sensors with non-ideal dynamics (e.g.,<br />

UAVs), sensors without directly observed states, <strong>and</strong> communications drop-outs. A list of the author’s technical publications,<br />

conference proceedings <strong>and</strong> presentations, technology transitions, <strong>and</strong> honors is included.<br />

DTIC<br />

Coordination; Data Acquisition; Drone Vehicles; Mathematical Models; Multisensor Fusion; Targets<br />

20040111533 Warp Drive Metrics, Las Vegas, NV<br />

Teleportation Physics Study<br />

Davis, Eric W.; Aug. 2004; 88 pp.; In English; Original contains color illustrations<br />

Contract(s)/Grant(s): F04611-99-C-0025; Proj-4847<br />

Report No.(s): AD-A425545; AFRL-PR-ED-TR-2003-0034; No Copyright; Avail: CASI; A05, Hardcopy<br />

This study was tasked with the purpose of collecting information describing the teleportation of material objects,<br />

providing a description of teleportation as it occurs in physics, its theoretical <strong>and</strong> experimental status, <strong>and</strong> a projection of<br />

potential applications. The study also consisted of a search for teleportation phenomena occurring naturally or under laboratory<br />

309

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