Computing and Information Systems - Research Publications
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ItemThe Urban Research Gateway for Australia: Development of a Federated, Multi-disciplinary Research e-Infrastructure(CEUR Workshop Proceedings, 2013)
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Iteme-Enabling international cancer research: lessons being learnt in the ENS@T-CANCER Project(IEEE Computer Society Press, 2013)
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ItemTools and Processes to Support the Development of a National Platform for Urban Research: Lessons (Being) Learnt from the AURIN Project(Australian Computer Society, 2013)
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ItemIndex-based symmetric DNA encryption algorithm(IEEE, 2011-12-01)
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ItemPolicy-based vulnerability assessment for virtual organisations(Springer Berlin Heidelberg, 2012)
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ItemVisualisation support for exploring urban space and place(International Society for Photogrammetry and Remote Sensing, 2012)Urban research is fundamentally underpinned by heterogeneous, highly varied data. The availability and quantity of digital data sources is increasing rapidly. In order to facilitate decision-making and support processes related to urban policy and management, such data has to be readily analysed, synthesised and the results readily communicated to support evidence based decision-making. In this paper, we consider the current state of play of visualisation as it supports urban research. In doing so we firstly consider visualisation environments such as geographical information systems (GIS) and Cartography tools, digital globes, virtual simulation environments, building information models and gaming platforms. Secondly, we consider a number of visualisation techniques with a focusing on GIS and Cartography tools including space time cubes, heat maps, choropleth maps, flow maps and brushing. This review of visualisation environments and techniques is undertaken in the context of the Australian Urban Research Infrastructure Network project (www.aurin.org.au). AURIN is tasked with developing a portal and associated e-Infrastructure, which provides seamless access to federated data, modelling and visualisation tools to support the urban researcher community in Australia. We conclude by outlining future research and development opportunities in developing the AURIN visualisation toolkit by reflecting on the value of visualisation as a data exploration and communication tool for researchers and decision-makers to assist with the study and management of the urban fabric.
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ItemA collaborative infrastructure supporting international adrenal cancer research( 2012)A wealth of information about adrenal cancer exists in many individual specialist centres around the world. The cancers themselves are very rare, often fatal and no common consensus on optimal treatment strategies exists, and certainly no treatments targeted to the individual genetic makeup of the tumours and individuals. In order to conduct effective and progressive research into these tumours and the surrounding conditions and treatments of individuals, it is essential to pool the expertise from specialist centres that exist in each country. The ENSAT-CANCER project is a 5-year European Union FP7-funded project tasked with this, through the development of an online environment that holds core data from a body of patients aligned with identified needs from leading specialists in the field. These data sets are also augmented with a host of tools and features that enable and support the research in this domain. This presentation will describe some of the novel features that have been developed in the project including biobank labelling and “match-making” services between centres. The presentation will also cover the hurdles involved in putting together such an enterprise – such as ethical approval for international data sharing and the establishment of canonical identification systems, and how these have been successfully overcome. The ENSAT-CANCER platform has now been used to support a portfolio of major international genetically targeted clinical trials and outcome studies. The presentation will describe the different processes involved in connecting and effectively sharing data and making best use of the ENSAT-CANCER platform. To date, the registry holds over 2900 patient cases and continues to grow every day.
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ItemThe AURIN e-Infrastructure: design, development and delivery( 2012)The Australian Urban Research Infrastructure Network (AURIN - www.aurin.org.au) is a $20m SuperScience initiative that seeks to support nationwide research across the urban and built environment. The project began in mid-2010 and is due to run to mid-2015. The urban and built environment community is extremely diverse and covers areas as disparate as population demographics, transport, logistics, housing, health, energy and water consumption, through to the future challenges facing the growth of urban settlements. To tackle the many challenges facing urban researchers, access to a wide array of distributed data sets and analytical and visualization tools is essential. These data sets come from a range of national and State-based agencies such as the Australian Bureau of Statistics (ABS), from industrial and commercial data providers such as utility companies, from research institutions and the researchers themselves, as well as through social media, e.g. Twitter. The AURIN project has defined and prototyped a common architecture (e-Infrastructure) that is intended to make the access to and use of data resources and tools transparent to the research community. This paper describes the architecture that has been developed, its implementation and the supporting tools used in its development, testing and deployment. It provides an overview of the systems that have been developed thus far to realize the technical architecture and the experiences learnt in delivery of the e-Infrastructure.
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ItemAURIN What If?: decision support for projections of land use allocations( 2012)It is increasingly important to understand land use issues to fully assess the effects of environmental change and urban regeneration scenarios. Land use decisions may have a profound impact on biodiversity, reduced land productivity due to soil degradation, and contribute to land and water shortage (Searchinger et al., 2008). A scenario-based Land Use Allocation (LUA) is one strategy for understanding land use options (Bryan et al., 2011; Fiorese and Guariso, 2010). LUA can be broadly defined as the medium to long-term strategic planning process by which land managers consider diverse environmental, social and economic factors, before choosing how land should be allocated and used in a given region. In LUA, an assessment is typically made to identify the most appropriate multidimensional pattern to achieve a desirable goal incorporating spatial, biophysical, economical and political dimensions (Malczewski, 2004). Frequently, environmental models and research tools that attempt to support these projections of land use allocations are built upon frameworks and programming languages which are tailor-made for a particular purpose, and not easily extended to support a wider sharing of resources and collaborative work (Li, 2007). The AURIN project has enhanced one leading scenario optimization based tool: What If?™(Klosterman, 1999), and made this a core part of its e-Infrastructure. This paper describes the What If? tool and demonstrates its application in AURIN.