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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lo Presti, C. Milbrath, B. Tardiff, M. Hartley-McBride, S. |
| Copyright Year | 2007 |
| Description | Author affiliation: Pacific Northwest Nat. Lab., Richland (Lo Presti, C.; Milbrath, B.; Tardiff, M.; Hartley-McBride, S.) |
| Abstract | Algorithms based on time-series analysis techniques were explored for maximizing the effectiveness of pass-through radiation portal monitors for detection of special nuclear material (SNM). Time-series properties of vehicle count profiles such as stationarity and autocorrelation within energy windows were characterized. Vehicle count profiles were nonstationary but were found to be made stationary by first-differencing. Autocorrelation functions showed consistent differences between NORM alarm and non-alarm vehicles. Injection studies were performed to assess the performance of time-domain detection algorithms based on stationarity tests and on the CUSUM change-point detection test. Results indicated possible roles for detection algorithms based on statistical process control and on time series concepts. |
| Starting Page | 133 |
| Ending Page | 138 |
| File Size | 4969641 |
| Page Count | 6 |
| File Format | |
| ISBN | 1424410525 |
| DOI | 10.1109/THS.2007.370034 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-05-16 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Performance evaluation gamma-ray spectroscopy Radiation detectors Time series analysis Time domain analysis time series anomaly detection statistical process control Vehicles radiation monitoring Autocorrelation Detection algorithms Portals Testing |
| Content Type | Text |
| Resource Type | Article |
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