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NetSafe Version 2- Field-testing, Enhancment and Integration of the NetSafe Version 1 Software at the Ft. Drum Army Facility Resulting in a Robust Po

Award Information
Agency: Department of Defense
Branch: Army
Contract: W9132T-10-C-0048
Agency Tracking Number: A2-4161
Amount: $729,984.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: A08-171
Solicitation Number: 2008.3
Solicitation Year: 2008
Award Year: 2010
Award Start Date (Proposal Award Date): 2010-09-20
Award End Date (Contract End Date): 2012-09-20
Small Business Information
8449 Beechmont Ave., Cincinnati, OH, -
DUNS: 840338727
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: Y
Principal Investigator
 Sudhir Kshirsagar
 (513) 474-9780
Business Contact
 Sudhir Kshirsagar
Title: President
Phone: (513) 474-9780
Research Institution
The Phase II R&D will create a set of water distribution system monitoring and modeling software components (NetSafe V2) that can be used to create a new contaminant warning system (CWS) or to augment an existing one. These components will be field-tested at the US Army Ft. Drum facility, and will be integrated into existing SCADA and GIS. The feasibility of the innovative approaches behind these components was established during Phase I through the development of NetSafe V1, a Windows-based software. NetSafe couples the powerful concept of model-based anomaly detection with use of relatively inexpensive water quality sensors to reliably identify the presence of chemical and biological agents. The hydraulic model will be continuously refined through real-time calibration using SCADA data. Once the actual composition of an agent is determined through other means, NetSafe can trace the forward transport of that contaminant, using the EPANET multi species extension (MSX), for vulnerability analysis and optimal emergency response. The MSX software component is capable of modeling complex physicochemical mechanisms and offers great flexibility. NetSafe also leverages the particle backtracking based contaminant source identification (CSA) algorithm to display the multiple possible sources as one rewinds back into history starting from an event.

* Information listed above is at the time of submission. *

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