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sensors, sensor management, sensor fusion, sensor network, agent identification, downwind message, fallout

Applied Systems Intelligence (ASI) can integrate CBRN sensor systems into an intelligent chemical, biological and radiation sensor associate to provide decision support in the case of release of hazardous materials. The intelligent associate based on ASI's PreAct® cognitive engine integrates and analyzes information from sensor arrays with weather sources, geography/topology sources, hospital disease reports, animal disease vector information and terrorist threat sources to produce actionable intelligence and decision support. Military and civilian leaders are insured of having the most reliable information and decision alternatives for guiding decisions in a crisis.

In addition the intelligent associate system can be used to initiate automated systems to gather further information, decontaminate a region or notify other support systems and individuals outside the associate system.

The intelligent associate system can be altered to display only mission critical data appropriate to the individual user requirements, thus reducing confusion and time to search out pertinent information and action recommendations. This can be a valuable tool for mission control centers as well as field commanders, front-line personnel, medical first responders, medical facilities and decontamination teams. Sensor system input can be integrated with action information to direct and coordinate the activities of separate groups.

The intelligent system is designed to deal with routine sensor maintenance as well as catastrophic sensor grid damage due to localized blasts or EMP pulses. It can aid in distinguishing between naturally occurring biological pathogens and a terrorist-initiated release. The system can identify ultiple known hazards as well as new, unknown biological hazards through complex hierarchical sensor analysis. The system can track and predict the movement of outdoor hazards spread by wind and the movement of hazards through buildings. It can resolve false positives, false negatives and contradictory data to reduce confusion and over-reaction.

 
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