Computing and Information Systems - Research Publications

Permanent URI for this collection

Search Results

Now showing 1 - 5 of 5
  • Item
    Thumbnail Image
    Development of an Endocrine Genomics Virtual Research Environment for Australia: Building on Success
    Sinnott, RO ; Bruns, L ; Duran, C ; Hu, W ; Jayaputera, G ; Stell, A ; Murgante, B ; Misra, S ; Carlini, M ; Torre, CM ; Nguyen, HQ ; Taniar, D ; Apduhan, BO ; Gervasi, O (SPRINGER-VERLAG BERLIN, 2013)
    The $47m Australian National eResearch Collaboration Tools and Resources (NeCTAR - www.nectar.org.au) project has recently funded an initiative to establish an Australia-wide endocrine genomics virtual laboratory (endoVL – www.endovl.org.au) covering a range of disorders including type-1, type-2 diabetes, rare diabetes-related disorders, obesity/thyroid disorders, neuroendocrine/adrenal tumours, bone disorders and disorders of sex development. This virtual laboratory will establish a range of targeted databases, clinical registries and support a range of genetically targeted clinical trials leveraging a body of international projects and experiences garnered over many years through a range of EU and MRC funded initiatives. This paper focuses on the plans for endoVL and especially, the systems it leverages in supporting large-scale clinical, collaborative environments.
  • Item
    Thumbnail Image
    Policy-based vulnerability assessment for virtual organisations
    Muhammad, J ; Doherty, T ; Hussain, S ; Sinnott, R (Springer Berlin Heidelberg, 2012)
  • Item
    Thumbnail Image
    A distributed clinical data platform for physiological studies in the brain trauma domain
    STELL, ANTHONY ; SINNOTT, RICHARD ; Donald, Rob ; Chambers, Iain ; Citerio, Giuseppe ; Enblad, Per (IEEE Computer Society, 2010)
    There are many serious and acute physiological conditions about which we have incomplete medical knowledge that can support optimal healthcare intervention. To develop effective treatments a wealth of clinical data is required for collection, analysis and feedback. Such data often does exist but is typically held in a variety of different formats and locations. This paper describes the EU FP7-funded Avert-IT project (www.avert-it.org), which has developed an integrated, real-time physiological data grid infrastructure (HypoNet) to address the specific issue of prediction of hypotensive events in the brain trauma domain and is currently being used as part of a large multi-centre clinical trial. The implementation and application of the HypoNet system is described here.
  • Item
    Thumbnail Image
    Towards an e-Infrastructure for urban research across Australia
    Sinnott, RO ; Galang, G ; Tomko, M ; Stimson, R (IEEE, 2011-12-01)
  • Item
    Thumbnail Image
    E-infrastructure support for nanoCMOS device and circuit simulations
    Sinnott, R. O. ; Stewart, G. ; Asenov, A. ; Millar, C. ; Reid, D. ; Roy, G. ; Roy, S. ; Davenhall, C. ; Harbulot, B. ; Jones, M. (ACTA Press, 2010)
    The UK e-Science EPSRC pilot project Meeting the Design Challenges of nanoCMOS Electronics (nanoCMOS – www.nanocmos.ac.uk) was funded to address the challenges facing the global electronics semiconductor industry caused by the decreasing size of Complementary Metal Oxide Semiconductor (CMOS) transistors and the atomic variability present in devices manifest at these dimensions. Fundamental problems to be addressed include the modelling, understanding and predicting the effect of differences in the atomic structure of devices on their behaviour, and then using this information to guide electronic circuit and system designers who utilise CMOS components. In this paper we describe the e-Infrastructure that has been developed as part of the nanoCMOS project and outline how it supports large scale high performance computing (HPC) simulations of ensembles of devices which can subsequently be used to model and understand the impact that they have on very large electronic circuits. Key features of this e-Infrastructure include support for very large scale HPC utilization; dealing with federated data sets and associated metadata from multi-level simulations, and addressing challenges related to security and intellectual property protection of data, simulation codes and electronic designs as a whole.