Distributed Operations Software for Wireless Handheld Computers

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$69,926.00
Award Year:
2003
Program:
SBIR
Phase:
Phase I
Contract:
NAS9-03036
Agency Tracking Number:
022860
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
TenXsys, Inc.
4068 Wisteria Way, Boise, ID, 83713
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Layne Simmons
Principal Investigator
(208) 250-0211
layne@tenxsys.com
Business Contact:
Layne Simmons
Business Official
(208) 250-0211
layne@tenxsys.com
Research Institution:
n/a
Abstract
?Anytime, anywhere information? is a powerful philosophy to improve the capabilities of integrated, international operators and the effectiveness of teams. As National Aeronautics and Space Administration (NASA) has moved into international programs, payload operations, manned and unmanned operations have all become much more complex, with real-time information being transmitted from various NASA operations centers to operators and scientists around the world. To realize the ?anywhere, anytime? philosophy new techniques and tools must be employed. The objective of this proposal is to demonstrate the feasibility of distributed architecture for operations using handheld devices that can be used for real-time operations and training of spacecraft. Previous research by TenXsys has developed the definition of an Adaptive Data Retrieval and Optimized, Intelligent Transfer (ADROIT) system that works in conjunction with one or more applications on a personal digital assistant (PDA) to deliver mission-essential information to distributed operators over a wireless communications infrastructure. The proposed research will extend this work to integrate voice, video, and more complex 3-D image displays and manipulation into the design. Additional advantages with this technology are the innovations on the central server side, which will enable more efficient and effective techniques for processing large volumes of data.

* information listed above is at the time of submission.

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