Development of an Urban Resilience Analysis Framework: Application to Norfolk VA and New Orleans LA
Abstract not provided.
Publications
Overview of Sandia?s RPM Profile Analysis and Characterization Effort
Abstract not provided.
Preliminary Results from a System-Theoretic Framework for Mitigating Complex Risks in International Transport of Spent Nuclear Fuel-Slides
Abstract not provided.
Classification of background suppression profiles for low background RPM data
Suppression of the ambient gamma background radiation by traffic structure and cargo is a well-understood and studied effect for deployed radiation portal monitors (RPM). For effective analysis of measured RPM profiles with the objective of inferring the spatial characteristics of radiation sources, it is important to account for the effects of background suppression. In this report we analyze background suppression for a test dataset from vehicle RPMs at a sample port and estimate the distributions of suppression amplitudes and shapes. Cluster analysis of standardized and normalized profiles is used to obtain the dominant suppression shapes in the sample field data. We determine that a large fraction of non-alarm RPM occupancies are represented by a small number of suppression shapes. This fraction increases when the signal-to-noise ratio of an occupancy profile is improved by the addition of signals for multiple RPM detectors located at the same height. The calculated suppression shapes from RPM data can be used along with source models in the process of spatial profile analysis both in the field or offline. This background suppression analysis is an important step in improving the effectiveness of the RPM profile analysis methodology which is currently being investigated and may lead to methods that reduce the number of secondary inspections as well as to decision support tools that aid operators in evaluating RPM data that do not contain spectral information.
Spatial Radiation Profile Characterization for Detection of Threat-like Sources
Abstract not provided.
Fostering Nonproliferation in South Asia ? An Integrated Systems Approach
Abstract not provided.
Estimating Functional Availability of Large Geographically Distributed System of Systems
Abstract not provided.
Spatial Radiation Profile Characterization for Detection of Threat-like Sources
Abstract not provided.
Preliminary Results from a System-Theoretic Framework for Mitigating Complex Risks in International Transport of Spent Nuclear Fuel
Abstract not provided.
Balancing Commerce adn Security Coupled Supply-Chain Port-of-Entry System
Abstract not provided.
Knowledge Discovery and Data Mining (KDDM) survey report
The large number of government and industry activities supporting the Unit of Action (UA), with attendant documents, reports and briefings, can overwhelm decision-makers with an overabundance of information that hampers the ability to make quick decisions often resulting in a form of gridlock. In particular, the large and rapidly increasing amounts of data and data formats stored on UA Advanced Collaborative Environment (ACE) servers has led to the realization that it has become impractical and even impossible to perform manual analysis leading to timely decisions. UA Program Management (PM UA) has recognized the need to implement a Decision Support System (DSS) on UA ACE. The objective of this document is to research the commercial Knowledge Discovery and Data Mining (KDDM) market and publish the results in a survey. Furthermore, a ranking mechanism based on UA ACE-specific criteria has been developed and applied to a representative set of commercially available KDDM solutions. In addition, an overview of four R&D areas identified as critical to the implementation of DSS on ACE is provided. Finally, a comprehensive database containing detailed information on surveyed KDDM tools has been developed and is available upon customer request.
11 Results