2,225 research outputs found

    Cost-benefit analysis of Australian Federal Police counter-terrorism operations at Australian airports

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    The terrorist attacks of 11 September 2001 highlighted the vulnerabilities of airports and aircraft. Further attacks in 2002, 2007 and 2009, have led to major government reforms in passenger processing and airport access. The security of Australian airports has also followed this trend, with an increased police presence. However, limited consideration has been given to the costs of these measures, compared to benefit. This Working Paper identifies the factors to be considered in such cost-benefit analyses and the authors outline their preliminary findings. The scope for further research is highlighted, particularly in relation to risk analysis and cost

    Supporting the Everyday Work of Scientists: Automating Scientific Workflows

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    This paper describes an action research project that we undertook with National Research Council Canada (NRC) scientists. Based on discussions about their \ud difficulties in using software to collect data and manage processes, we identified three requirements for increasing research productivity: ease of use for end- \ud users; managing scientific workflows; and facilitating software interoperability. Based on these requirements, we developed a software framework, Sweet, to \ud assist in the automation of scientific workflows. \ud \ud Throughout the iterative development process, and through a series of structured interviews, we evaluated how the framework was used in practice, and identified \ud increases in productivity and effectiveness and their causes. While the framework provides resources for writing application wrappers, it was easier to code the applications’ functionality directly into the framework using OSS components. Ease of use for the end-user and flexible and fully parameterized workflow representations were key elements of the framework’s success. \u

    Civil Liberties, Fear, and Terrorism

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    The Bookshelf Speaks

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    Deep residual neural network for EMI event classification using bispectrum representation

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    This paper presents a novel method for condition monitoring of High Voltage (HV) power plant equipment through analysis of discharge signals. These discharge signals are measured using the Electromagnetic Interference (EMI) method and processed using third order Higher-Order Statistics (HOS) to obtain a Bispectrum representation. By mapping the time-domain signal to a Bispectrum image representations the problem can be approached as an image classification task. This allows for the novel application of a Deep Residual Neural Network (ResNet) to the classification of HV discharge signals. The network is trained on signals into 9 classes and achieves high classification accuracy in each category, improving upon our previous work on this task

    A Comparison of Materials Issues for Cermet and Graphite-Based NTP Fuels

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    This paper compares material issues for cermet and graphite fuel elements. In particular, two issues in NTP fuel element performance are considered here: ductile to brittle transition in relation to crack propagation, and orificing individual coolant channels in fuel elements. Their relevance to fuel element performance is supported by considering material properties, experimental data, and results from multidisciplinary fluid/thermal/structural simulations. Ductile to brittle transition results in a fuel element region prone to brittle fracture under stress, while outside this region, stresses lead to deformation and resilience under stress. Poor coolant distribution between fuel element channels can increase stresses in certain channels. NERVA fuel element experimental results are consistent with this interpretation. An understanding of these mechanisms will help interpret fuel element testing results

    Multidisciplinary Simulation of Graphite-Composite and Cermet Fuel Elements for NTP Point of Departure Designs

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    This paper compares the expected performance of two Nuclear Thermal Propulsion fuel types. High fidelity, fluid/thermal/structural + neutronic simulations help predict the performance of graphite-composite and cermet fuel types from point of departure engine designs from the Nuclear Thermal Propulsion project. Materials and nuclear reactivity issues are reviewed for each fuel type. Thermal/structural simulations predict thermal stresses in the fuel and thermal expansion mis-match stresses in the coatings. Fluid/thermal/structural/neutronic simulations provide predictions for full fuel elements. Although NTP engines will utilize many existing chemical engine components and technologies, nuclear fuel elements are a less developed engine component and introduce design uncertainty. Consequently, these fuel element simulations provide important insights into NTP engine performance
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