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Home » Awards » Hybrid Neural Network/Parametric Models for State and Trait Estimation in…

Hybrid Neural Network/Parametric Models for State and Trait Estimation in…

Award Information

Agency: Department of Defense	Branch: Army	Award ID: 74186	Program Year/Program: 2006 / STTR
Agency Tracking Number: A054-029-0337	Solicitation Year: N/A	Solicitation Topic Code: N/A	Solicitation Number: N/A

Small Business Information: Pulsar Informatics Inc.
3401 MARKET ST STE 318 PHILADELPHIA, PA 19104-3359
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Woman-Owned: No

Minority-Owned: No

HUBZone-Owned: Yes

Phase 2: Fiscal Year: 2006

Title: Hybrid Neural Network/Parametric Models for State and Trait Estimation in Performance Modeling

Agency / Branch: DOD / ARMY

Contract: W81XWH-05-C-0155

Award Amount: $750,000.00

Abstract:
In sustained military operations involving round-the-clock missions and travel across multiple time zones, biomathematical models of human performance have potential as tools for predicting the fatigue and performance of sleep-deprived soldiers. This pro

Principal Investigator:
Daniel J. Mollicone
Research Engineer, President
2155202630
dan@PulsarInformatics.com

Business Contact:
Daniel J. Mollicone
Research Engineer, President
2155202630
dan@PulsarInformatics.com

Small Business Information at Submission:

PULSAR INFORMATICS, INC.
1 Old Dominion University Norfolk, VA 23529

EIN/Tax ID: 342009050

DUNS: N/A

Number of Employees:

Woman-Owned: No

Minority-Owned: No

HUBZone-Owned: No

Research Institution Information:

WASHINGTON STATE UNIV. SPOKANE
P.O. Box 1495
Spokane, WA 99210

Contact: Hans Van Dongen

Contact Phone: (509) 358-7755

RI Type: Nonprofit college or university