A SMOKE DETECTOR ALERT DEVICE FOR THE DEAF

Award Information
Agency:
Department of Health and Human Services
Branch
n/a
Amount:
$100,000.00
Award Year:
1999
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Agency Tracking Number:
1R43DC004254-01
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
COMBUSTION SCIENCE & ENGINEERING
9160 RUMSEY RD, STE B1, COLUMBIA, MD, 21045
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
RICHARD ROBY
() -
Business Contact:
(410) 884-3266
MKLASSEN@CSEFIRE.COM
Research Institution:
n/a
Abstract
Not Available AcuSoft proposes to research and develop a database correlation tool to maximize the reusability of existing and future Computer Generated Forces Terrain databases and to improve upon current terrain database correlation methods. In the Phase I effort, AcuSoft will 1) Study simulation database formats used by ModSAF, ITEMS, and ATCON, 2) Formulate and show feasibility of an effective methodology, using SEDRIS, to convert and correlate ModSAF terrain databases with ITEMS and ATCOM database formats, and 3) Develop and demonstrate a functioning prototype software tool that can support database conversions and correlation testing. AcuSoft's research will emphasize the automation aspect of the correlation process. The methodology and tool developed for this effort will allow ModSAF, ITEMS and ATCOM users to evaluate database correlations rapidly. In addition, AcuSoft's proposed correlation methodology would cover all Synthetic Environment issues addressed by SEDRIS, including terrain, atmosphere, EM, etc., that concern CGF interoperability. The goal is to produce a tool that can be 1) used by CGF users to check the correlation of simulation databases, and 2) used by database producers to produce SEDRIS databases readily usable by various CGF systems. This proposed Phase I effort will re-use software developed during AcuSoft's on-going SEDRIS development efforts. BENEFITS: The DoD M&S community will benefit from having a SEDRIS-based database correlation tool. This tool wi

* information listed above is at the time of submission.

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