Feasibility and demonstration of a cloud-based RIID analysis system

Michael C. Wright; Kristin L. Hertz; William C. Johnson; Eric D. Sword; James R. Younkin; Lorraine E. Sadler

doi:10.1016/j.nima.2014.11.011

Feasibility and demonstration of a cloud-based RIID analysis system

Michael C. Wright, Kristin L. Hertz, William C. Johnson, Eric D. Sword, James R. Younkin, Lorraine E. Sadler

Research output: Contribution to journal › Article › peer-review

Abstract

A significant limitation in the operational utility of handheld and backpack radioisotope identifiers (RIIDs) is the inability of their onboard algorithms to accurately and reliably identify the isotopic sources of the measured gamma-ray energy spectrum. A possible solution is to move the spectral analysis computations to an external device, the cloud, where significantly greater capabilities are available. The implementation and demonstration of a prototype cloud-based RIID analysis system have shown this type of system to be feasible with currently available communication and computational technology. A system study has shown that the potential user community could derive significant benefits from an appropriately implemented cloud-based analysis system and has identified the design and operational characteristics required by the users and stakeholders for such a system. A general description of the hardware and software necessary to implement reliable cloud-based analysis, the value of the cloud expressed by the user community, and the aspects of the cloud implemented in the demonstrations are discussed.

Original language	English
Pages (from-to)	281-286
Number of pages	6
Journal	Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
Volume	784
DOIs	https://doi.org/10.1016/j.nima.2014.11.011
State	Published - Jun 1 2015

Funding

The authors would like to thank Dr. Matthew Kiser of the Remote Sensing Laboratory at Andrews Air Force Base for his advice, support, and encouragement during the execution of the project and for providing the host location for the final project demonstration. This work was supported by the U.S. Department of Energy National Nuclear Security Administration Office of Defense Nuclear Nonproliferation Research and Development . This support does not constitute an express or implied endorsement on the part of the Government. This manuscript has been authored by Oak Ridge National Laboratory, managed by UT-Battelle LLC under contract no. DE-AC05-00OR22725 with the US Department of Energy. The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes.

Funders	Funder number
U.S. Department of Energy National Nuclear Security Administration Office of Defense Nuclear Nonproliferation Research and Development
U.S. Department of Energy
UT-Battelle	DE-AC05-00OR22725

Keywords

Cloud computing
Gamma-ray spectroscopy
Isotope identification
Radiation detection

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10.1016/j.nima.2014.11.011

Cite this

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title = "Feasibility and demonstration of a cloud-based RIID analysis system",

abstract = "A significant limitation in the operational utility of handheld and backpack radioisotope identifiers (RIIDs) is the inability of their onboard algorithms to accurately and reliably identify the isotopic sources of the measured gamma-ray energy spectrum. A possible solution is to move the spectral analysis computations to an external device, the cloud, where significantly greater capabilities are available. The implementation and demonstration of a prototype cloud-based RIID analysis system have shown this type of system to be feasible with currently available communication and computational technology. A system study has shown that the potential user community could derive significant benefits from an appropriately implemented cloud-based analysis system and has identified the design and operational characteristics required by the users and stakeholders for such a system. A general description of the hardware and software necessary to implement reliable cloud-based analysis, the value of the cloud expressed by the user community, and the aspects of the cloud implemented in the demonstrations are discussed.",

keywords = "Cloud computing, Gamma-ray spectroscopy, Isotope identification, Radiation detection",

author = "Wright, {Michael C.} and Hertz, {Kristin L.} and Johnson, {William C.} and Sword, {Eric D.} and Younkin, {James R.} and Sadler, {Lorraine E.}",

year = "2015",

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doi = "10.1016/j.nima.2014.11.011",

language = "English",

volume = "784",

pages = "281--286",

journal = "Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment",

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Feasibility and demonstration of a cloud-based RIID analysis system. / Wright, Michael C.; Hertz, Kristin L.; Johnson, William C. et al.
In: Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 784, 01.06.2015, p. 281-286.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Feasibility and demonstration of a cloud-based RIID analysis system

AU - Wright, Michael C.

AU - Hertz, Kristin L.

AU - Johnson, William C.

AU - Sword, Eric D.

AU - Younkin, James R.

AU - Sadler, Lorraine E.

PY - 2015/6/1

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N2 - A significant limitation in the operational utility of handheld and backpack radioisotope identifiers (RIIDs) is the inability of their onboard algorithms to accurately and reliably identify the isotopic sources of the measured gamma-ray energy spectrum. A possible solution is to move the spectral analysis computations to an external device, the cloud, where significantly greater capabilities are available. The implementation and demonstration of a prototype cloud-based RIID analysis system have shown this type of system to be feasible with currently available communication and computational technology. A system study has shown that the potential user community could derive significant benefits from an appropriately implemented cloud-based analysis system and has identified the design and operational characteristics required by the users and stakeholders for such a system. A general description of the hardware and software necessary to implement reliable cloud-based analysis, the value of the cloud expressed by the user community, and the aspects of the cloud implemented in the demonstrations are discussed.

AB - A significant limitation in the operational utility of handheld and backpack radioisotope identifiers (RIIDs) is the inability of their onboard algorithms to accurately and reliably identify the isotopic sources of the measured gamma-ray energy spectrum. A possible solution is to move the spectral analysis computations to an external device, the cloud, where significantly greater capabilities are available. The implementation and demonstration of a prototype cloud-based RIID analysis system have shown this type of system to be feasible with currently available communication and computational technology. A system study has shown that the potential user community could derive significant benefits from an appropriately implemented cloud-based analysis system and has identified the design and operational characteristics required by the users and stakeholders for such a system. A general description of the hardware and software necessary to implement reliable cloud-based analysis, the value of the cloud expressed by the user community, and the aspects of the cloud implemented in the demonstrations are discussed.

KW - Cloud computing

KW - Gamma-ray spectroscopy

KW - Isotope identification

KW - Radiation detection

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ER -

Feasibility and demonstration of a cloud-based RIID analysis system

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