Fusion of Security System Data to Improve Airport Security (2007) / Chapter Skim
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3 Current Data Fusion Endeavors
3 Current Data Fusion Endeavors
Pages 33-42
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From page 33... ...
It then summarizes current data integration and data fusion projects initiated in this area by the Transportation Security Laboratory (TSL) of the Science and Technology Directorate of the Department of Homeland Security (DHS S&T)
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From page 34... ...
This data fusion provides commanders with early warning and target tracking capabilities to detect, identify, and engage both surface and air targets effectively. Similarly, Aviation Week and Space Technology described the use of data fusion in network-centric warfare using the Network Centric Collaborative Technology (NCCT)
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From page 35... ...
to develop advanced technologies providing automated support for responding to commanders' priority intelligence requirements. The ARES-FIST program is illuminating sources of complexity in this problem domain, developing software technologies and prototype applications to advance the state of the art on problem characteristics in data fusion requiring research.
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From page 36... ...
Improved human intelligence collection, improved intelligence integration and fusion, improved analysis of terrorist threats and targets, and improved technical collection against potential chemical, biological, radiological, nuclear, and explosive weapons are all critical in this regard."13 This success of these principles is described by Assistant Secretary of Defense Benjamin Riley as follows: In Afghanistan, U.S. forces found and hit moving targets in minutes by sharing information.
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From page 37... ...
These experiences have motivated the recommendations by this committee for the establishment of a data fusion authority to provide oversight to systems development, for a formal systems engineering approach of the data fusion processes, and for realistic operational testing and feedback from this testing to systems development. Finding: While the DOD has achieved successes in data fusion, information sharing, and networked operations, it has also had numerous unsuccessful programs in these areas.
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From page 38... ...
As the ability to fuse data improves with the increased networking of tools in the manufacturing facility, industry is moving away from measuring a physical dimension on a processed wafer; it is moving toward monitoring voltages and impedances on the processing tool during the actual wafer processing, using the same mathematical modeling approach to predict the final yield. In addition to saving measurement and operator time, understanding which process steps have the largest impact on reducing yield allows the manufacturer to focus resources on improving those critical process steps.
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From page 39... ...
The SPAN is to be deployed in Kennedy International Airport in New York City. A related program, the Seattle Airport Project, has as its objective the fusion of ground surveillance radar and intelligent video into a single track for intrusion detection TABLE 3-1 Data Fusion Projects of the Transportation Security Administration Data Fusion Project Description Project Type Command, Control, Conduct secure network design, development, implementation, Infrastructure for data fusiona Communications, and engineering activities to support an evolving architecture Computation, and for networking of sensors Intelligence Laboratory EWR/JAXPORT Vehicle Consists of facility and deployment of a vehicle tracking system Infrastructure Tracking System, Florida in an airport/seaport RF-rich environment to evaluate functional for data fusion and operational benefits.
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From page 40... ...
Again, they lack a systems approach to their development and common data structures for the extant security systems that would provide the foundation for significant improvements through data fusion. Access-Control Systems An example of a TSL initiative to improve airport access control through data fusion is the Airport Access Control Pilot Program.
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From page 41... ...
of data fusion at all levels: baggage screening, checkpoint, and access control and surveillance. Chapter 4 discusses ways to better implement the projects and other opportunities for data fusion.
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