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Miniature Integrated Nuclear Detection System (MINDS) PowerPoint PPT Presentation


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Miniature Integrated Nuclear Detection System (MINDS). State of New Jersey Symposium on Homeland Security Research October 29, 2003 C. Gentile, L. Meixler. Presentation Outline. Pre 9/11 activities for the development of a direct reading, real-time tritium detector Post 9/11

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Miniature integrated nuclear detection system minds l.jpg

Miniature Integrated Nuclear Detection System (MINDS)

State of New Jersey Symposium on Homeland Security Research

October 29, 2003

C. Gentile, L. Meixler


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Presentation Outline

  • Pre 9/11 activities for the development of a direct reading, real-time tritium detector

  • Post 9/11

    • The MINDS concept

    • MINDS system configuration/application

    • Radiation dispersion devices (Dirty Bombs)

    • Networking/ Cisco Systems

  • Collaborators/ Rutgers CAIP, Picatinny Arsenal, Cisco Systems

  • MINDS Video Clip


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Post 9/11

  • Since 9/11 many requests for information on technologies that may have applications for Homeland Security.

  • Some aspects of PPPL’s early work on PIN diodes, and neutron detection capabilities appeared to fit.


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The MINDS Concept

  • Land based system.

  • Rapidly differentiate radionuclides in transit.

  • Hyper-accurate radionuclide identification.

  • >1000 radionuclide shipments a month on NJ roads for authorized use.

  • Do not want to stop all shipments of radionuclides.

  • Do not want to have “car alarm” experience.


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Detection Comparison


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MINDS Description and Function

  • Fully integrated multiple detector system for rapid real-time detection and differentiation of X-ray, gamma, and neutron emitting radioisotopes.

  • Detects unauthorized transport of specific nuclear materials, which could be used in “dirty” bomb or possibly in a weapon of mass destruction.


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Radiation Dispersion Devices (Dirty Bombs)


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Software Development

  • Working with Rutgers Center for the Application of Industrial Processes (CAIP) on nuclear spectra identification of collected data.

  • CAIP has extensive experience in neural networks, and other techniques for extracting data from background noise for analysis and identification.


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Networking

  • Collaborating with Cisco Systems for integration of MINDS into existing (fiber-optic) infrastructure within State of New Jersey.

  • Immediate deployment opportunities exist at Exits 8A and 9 of NJ Turnpike, and Holland Tunnel.

  • MINDS could provide input to Picatinney Arsenals’ SERIS or RIJANS to provide information to “First Responders.”


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Networking

  • Communications Network Required to Interlink these Sensors/Centers.

  • Widely deployed, State owned fiber plant exists which could provide connectivity

  • Networks that NJHA/NJTA/DOT are in the Process of building, could serve as ideal platforms for deployment of MINDS and other sensor applications


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Networking

Regional Consortium New Jersey E-Z Pass

composed of 5 members:

  • New Jersey Turnpike Authority

  • New Jersey Highway Authority

  • South Jersey Transportation Authority

  • State of Delaware Dept of Transportation

  • Port Authority of New York and New Jersey


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Networking

New Jersey E-ZPass Regional Consortium

Over 400 Miles of High Quality Fiber

108 strand, 8.3-micron SMF

12 strands retained by Consortium

Department of Transportation

F/O Cable and/or Conduit laid during Construction

Most fiber is 8.3 micron SMF

Several Cable Runs Isolated and Not Interconnected


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