Computing and Information Systems - Research Publications

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    Anti-personnel landmine detection based on GPR and IR imaging: a review
    Bhuiyan, Alauddin ; Nath, Baikunth ( 2006-04)
    Ground penetrating radar (GPR) and Infrared (IR) camera have become two established sensors for detecting buried anti-personnel mines (APM) which contain no or a little metal. This report reviews the detection techniques of APM using GPR and IR, and describes particular situations where each technique is feasible. We provide an analysis for fusion based detection and classification of APM. We discuss the GPR and IR data acquisition, signal processing and image processing methods. We also include a comparative study of these two sensors with respect to signal processing and target detection procedures. The report discusses the strengths and weaknesses of each of the sensors based on data capturing efficiency, overcoming environmental difficulties and sensor technology. Finally, we emphasize that a geometrical feature based sensor fusion, combining GPR and IR, for detection and classification of APM may be the most effective technique.
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    A monomial ν-SV method for regression
    SHILTON, ALISTAIR ; Lai, Daniel ; PALANISWAMI, MARIMUTHU ( 2007)
    In the present paper we describe a new formulation for Support Vector regression (SVR), namely monomial ν-SVR. Like the standard ν-SVR, the monomial ν-SVR method automatically adjusts the radius of insensitivity (the tube width, epsilon) to suit the training data. However, by replacing Vapnik’s epsilon-insensitive cost with a more general monomial epsilon-insensitive cost (and likewise replacing the linear tube shrinking term with a monomial tube shrinking term), the performance of the monomial ν-SVR is improved for data corrupted by a wider range of noise distributions. We focus on the quadric form of monomial ν-SVR and show that the dual form of this is simpler than the standard ν-SVR. We show that, like Suykens’ Least-Squares SVR (LS-SVR) method (and unlike standard ν-SVR), the quadric ν-SVR dual has a unique global solution. Comparisons are made between the asymptotic efficiency of our method and that of standard ν-SVR and LS-SVR which demonstrate the superiority of our method for the special case of higher order polynomial noise. These theoretical predictions are validated using experimental comparisons with the alternative approaches of standard ν-SVR, LS-SVR and weighted LS-SVR.
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    Grid security: practices, middleware, and outlook
    SINNOTT, RICHARD (National e-Science Centre, 2005)
    Middleware, Practices and Outlook report was funded by JISC to explore the landscape of Grid security. The report summarises experiences of existing Grid middleware and practices today including Public Key Infrastructures and their limitations. A review of advanced authorisation technologies and developments within the Internet2 community are also explored with regard to their potential impact upon Grid based e-Research.
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    Large-scale data sharing in the life sciences: data standards, incentives, barriers and funding models (The Joint Data Standards Study)
    The Digital Archiving Consultancy (DAC) ; The Bioinformatics Research Centre, University of Glasgow (BRC) ; The National e-Science Centre (NeSC) ( 2005)
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    Preliminary analysis of ANZDATA: experiment report
    KUO, YEN-TING ( 2007)
    This report comprises a collection of experiments of applying data mining to ANZDATA. Section 2 presents the result of applying decision tree, emerging patterns (EP) and temporal ARs mining, and Section 3 reports the result of association rules mining on ANZDATA.
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    The role of performance management and control systems in the implementation of public sector reforms: creating health care networks in Victoria
    GRAFTON, JENNIFER ; LILLIS, ANNE (Department of Accounting and Business Information Systems, 2005)