2012
DOI: 10.1016/j.pnucene.2011.07.007
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Integration of facility modeling capabilities for nuclear nonproliferation analysis

Abstract: Developing automated methods for data collection and analysis that can facilitate nuclear nonproliferation assessment is an important research area with significant consequences for the effective global deployment of nuclear energy. Facility modeling that can integrate and interpret observations collected from monitored facilities in order to ascertain their functional details will be a critical element of these methods. Although improvements are continually sought, existing facility modeling tools can charact… Show more

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Cited by 6 publications
(7 citation statements)
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“…A connected system may need its network modeled as well as its environment since a CPS always interacts with the outside world. Twenty-six (17%) MPM papers reported modeling all four main components of CPS [25,28,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56]. Most frequently (29 (18%)), the papers modeled the hardware, software, and network of the system (see Fig.…”
Section: Reported Modeled Components In Mpm4cpsmentioning
confidence: 99%
“…A connected system may need its network modeled as well as its environment since a CPS always interacts with the outside world. Twenty-six (17%) MPM papers reported modeling all four main components of CPS [25,28,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56]. Most frequently (29 (18%)), the papers modeled the hardware, software, and network of the system (see Fig.…”
Section: Reported Modeled Components In Mpm4cpsmentioning
confidence: 99%
“…179 These must then be linked and combined for purposes of analysis-a process that itself demands "a set of coupled algorithms, along with their respective input parameter files" capable of generating "computational ontolog[ies]" or models of locations and/or events. 180 The scope of what might be potentially "interesting" in data so processed-commonly defined in computer science literature as that which is "non-trivial, implicit, previously unknown and potentially useful"-need not be determined a priori; what is known as unsupervised or semisupervised data mining may itself generate a sense of what merits interest, as described below. 181 This may involve, among other processes, the automated "aggregation of similar neighboring pixels into homogenous objects, also referred to as segmentation .…”
Section: Satellites and Citizen Sensorsmentioning
confidence: 99%
“…An off-normal operation may lead to a decision to take additional samples or other more detailed measurements to determine the source of variation. Other examples include the use of Bayesian or other statistical approaches to determine what combination of signals would indicate an off-normal event like a material diversion (Burr, 2015;Garcia, 2012).…”
Section: Facility Levelmentioning
confidence: 99%