Download PDF by National Research Council, Division on Engineering and: 2009-2010 Assessment of the Army Research Laboratory

By National Research Council, Division on Engineering and Physical Sciences, Laboratory Assessments Board, Army Research Laboratory Technical Assessment Board

ISBN-10: 0309211409

ISBN-13: 9780309211406

The cost of the military study Laboratory Technical evaluation Board (ARLTAB) is to supply biannual checks of the clinical and technical caliber of the examine, improvement, and research courses on the military learn Laboratory (ARL). the recommendation supplied during this file specializes in technical instead of programmatic concerns. The Board is assisted by means of six nationwide examine Council (NRC) panels, every one of which specializes in the element of the ARL software carried out by means of considered one of ARL's six directorates. while asked to take action via ARL, the Board additionally examines paintings that cuts around the directorates. The Board has been appearing checks of ARL due to the fact that 1996. the present record summarizes its discovering for the 2009-2010 interval, in which ninety six volunteer specialists in fields of technology and engineering participated within the following actions: traveling ARL every year, receiving formal displays of technical paintings, reading amenities, accomplishing technical discussions with ARL employees, and reviewing ARL technical fabrics. The Board remains to be inspired via the final caliber of ARL's technical employees and their paintings and applauds ARL for its transparent, passionate obstacle for the tip person of its technology--the soldier within the field--and for ARL's verified mindfulness of the significance of transitioning know-how to help speedy and longer-term military wishes. ARL employees additionally proceed to extend their involvement with the broader medical and engineering neighborhood. quite often, ARL is operating rather well inside a suitable examine and improvement (R&D) area of interest and has been demonstrating major accomplishments.

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For example, how would results on these public databases translate to databases of interest to INSCOM? The latter are likely to be much larger and may also contain more errors or have more complex entities (indeed, a separate CISD presentation explained that, in Iraq, identifying a particular individual may require both the person’s name and where that person sells in the marketplace). Without a simple analytic performance model to reflect a scaling of the database size, the initial experiments cannot be placed in context and can only suggest, not predict, the performance against larger data sets.

These challenges lie largely in the articulation by researchers of their understanding of what it takes to validate a new model, and with mapping out in the long term how the results of such research might be deployed. There is, however, an excellent roadmap in place for traditional weather-related work, and BED should consider fleshing out in that roadmap possible alternatives for these new areas. Challenges in Decision-Aiding Systems The work discussed above about social network analysis clearly is key to fusing information and aiding the warfighter in making decisions.

Light from a scene is split into a conventional charge-coupled device camera and a single-pixel sensor, with a point-to-point 2-photon Glauber coherence correlation, to form an image. Performing this correlation is a very heavily computationally-intensive problem. The significance of the work was clear both from the demonstrations provided for the panel and from external validation through both multiple patents and multiple publications in very-high-impact publications with rigorous peer review.

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2009-2010 Assessment of the Army Research Laboratory by National Research Council, Division on Engineering and Physical Sciences, Laboratory Assessments Board, Army Research Laboratory Technical Assessment Board


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