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Australian State/Territory : QLD
Research Topic : Predictive Modelling
Socio-Economic Objective : Application packages
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  • Funded Activity

    Linkage Projects - Grant ID: LP0348712

    Funder
    Australian Research Council
    Funding Amount
    $71,300.00
    Summary
    Design of a Reference Methodology for Extended Enterprise Architecture. Enterprises have nowadays a very critical perception of the actual benefits of Information Technology (IT). Significant investments in IT infrastructures have been made. However, in many cases no monetary benefits could be demonstrated. Enterprises Architectures provide a way to link the business and the IT perspective. This project aims to develop an operational methodology with a solid theoretical foundation for the design .... Design of a Reference Methodology for Extended Enterprise Architecture. Enterprises have nowadays a very critical perception of the actual benefits of Information Technology (IT). Significant investments in IT infrastructures have been made. However, in many cases no monetary benefits could be demonstrated. Enterprises Architectures provide a way to link the business and the IT perspective. This project aims to develop an operational methodology with a solid theoretical foundation for the design of such Enterprise Architectures. The outcomes and the innovation of this project are an extension of the popular Zachman Framework. Integrated modelling techniques proposed within the Architecture of Integrated Information Systems will be used to populate this framework.
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    Funded Activity

    Discovery Projects - Grant ID: DP0451964

    Funder
    Australian Research Council
    Funding Amount
    $251,952.00
    Summary
    The Development of High Strength Aluminium and Magnesium Alloys Using "Edge-to-edge" Matching Model. The theoretical, crystallographic "edge-to-edge" matching model for diffusion-controlled phase transformations will be applied to the practical development of improved industrial aluminium and magnesium alloys with assistance of computer simulations. The model will be used to enhance the precipitation hardening response and to identify more effective grain refiners in these light alloys. The aim .... The Development of High Strength Aluminium and Magnesium Alloys Using "Edge-to-edge" Matching Model. The theoretical, crystallographic "edge-to-edge" matching model for diffusion-controlled phase transformations will be applied to the practical development of improved industrial aluminium and magnesium alloys with assistance of computer simulations. The model will be used to enhance the precipitation hardening response and to identify more effective grain refiners in these light alloys. The aims will be the development of one high strength aluminium alloy with good ductility and one high strength magnesium alloy with good creep resistance at elevated temperatures. A computer program that will help to identify the most effective grain refiners for specific light alloys will also be produced.
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    Funded Activity

    Linkage Projects - Grant ID: LP0349235

    Funder
    Australian Research Council
    Funding Amount
    $69,099.00
    Summary
    Design and Development of a Web-based Intelligent Multimedia Mining System. Increasing amounts of digital multimedia data in the form of video is being captured and stored. However, even the most advanced storage and retrieval techniques lack the features required to be used singly, or in combination, to fulfil a wide range of user needs and rapid access to multimedia resources, even in a very large video database. The core challenges are indeed to develop efficient, smart and intelligent web-ba .... Design and Development of a Web-based Intelligent Multimedia Mining System. Increasing amounts of digital multimedia data in the form of video is being captured and stored. However, even the most advanced storage and retrieval techniques lack the features required to be used singly, or in combination, to fulfil a wide range of user needs and rapid access to multimedia resources, even in a very large video database. The core challenges are indeed to develop efficient, smart and intelligent web-based multimedia mining in Australia and elsewhere. In this project, we will explore techniques and develop algorithms for content-based multimedia retrieval and mining in multimedia databases.
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    Funded Activity

    Discovery Projects - Grant ID: DP0345219

    Funder
    Australian Research Council
    Funding Amount
    $220,000.00
    Summary
    Computer Modelling of the Morphology and Crystallography of Diffusion-controlled Phase Transformations. An analytical, phenomenological version of the successful "edge-to edge" matching approach to the morphology and crystallography of diffusion-controlled phase transformations will be developed. This will be incorporated in a Windows based computer program that can predict the essential features of precipitation (orientation relationships, habit planes, morphology and interface structure), fro .... Computer Modelling of the Morphology and Crystallography of Diffusion-controlled Phase Transformations. An analytical, phenomenological version of the successful "edge-to edge" matching approach to the morphology and crystallography of diffusion-controlled phase transformations will be developed. This will be incorporated in a Windows based computer program that can predict the essential features of precipitation (orientation relationships, habit planes, morphology and interface structure), from readily available input data for the two phases involved. It will provide a fuller understanding of diffusion-controlled phase transformations and the computer simulation will assist in the development of improved precipitation hardening alloys. In addition, a database of crystallographic data for typical metallic materials will be established in the project.
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    Funded Activity

    Discovery Projects - Grant ID: DP0211789

    Funder
    Australian Research Council
    Funding Amount
    $205,818.00
    Summary
    Ontologically-based Evaluation, Comparison and Engineering of Integrated Process Modelling Techniques. Integrated process modelling techniques such as UML and ARIS form the conceptual platform for many management and IT projects. Though most IS development tools contain these techniques, anecdotal evidence indicates many shortcomings. This project uses a well-established theory developed in philosophy and applied in information systems domains for the evaluation of these techniques. The expec .... Ontologically-based Evaluation, Comparison and Engineering of Integrated Process Modelling Techniques. Integrated process modelling techniques such as UML and ARIS form the conceptual platform for many management and IT projects. Though most IS development tools contain these techniques, anecdotal evidence indicates many shortcomings. This project uses a well-established theory developed in philosophy and applied in information systems domains for the evaluation of these techniques. The expected outcomes are evaluations of ARIS and UML. Thus, this project contributes to the development of two of the most popular modelling techniques. Based on the theory used and the results of an international empirical study, suggestions for the further development of these techniques will be derived.
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    Funded Activity

    Discovery Projects - Grant ID: DP0773445

    Funder
    Australian Research Council
    Funding Amount
    $277,295.00
    Summary
    Simulating viral evolution and genetic complexity. This project has direct relevance to understanding the growth of viral infections, and therefore has possible practical applications in disease research and control. Examples of these are emerging diseases in humans such as those caused by HIV-1, SARS coronavirus and Dengue virus, which cause considerable human suffering throughout the world. A major part of current research into these diseases involves attempts to model the evolutionary geneti .... Simulating viral evolution and genetic complexity. This project has direct relevance to understanding the growth of viral infections, and therefore has possible practical applications in disease research and control. Examples of these are emerging diseases in humans such as those caused by HIV-1, SARS coronavirus and Dengue virus, which cause considerable human suffering throughout the world. A major part of current research into these diseases involves attempts to model the evolutionary genetics and dynamics of virus populations in order to understand how to control epidemics, develop vaccines and design drugs. The research program is designed to provide new computational modelling tools for this purpose, which may have wider applications as well.
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    Funded Activity

    Discovery Projects - Grant ID: DP0344488

    Funder
    Australian Research Council
    Funding Amount
    $334,000.00
    Summary
    Integrating Database Technologies and Visual Analysis in Bioinformatics for Genome Data. Solving modern biological problems, especially those involving genome data, requires advanced computational and analytical methods. The huge quantities of data and escalating demands of modern biological research increasingly require the sophistication and power of object-relational database tools. Key techniques include relational data management, pattern recognition, data mining and visualization of biolog .... Integrating Database Technologies and Visual Analysis in Bioinformatics for Genome Data. Solving modern biological problems, especially those involving genome data, requires advanced computational and analytical methods. The huge quantities of data and escalating demands of modern biological research increasingly require the sophistication and power of object-relational database tools. Key techniques include relational data management, pattern recognition, data mining and visualization of biological data. In this project we will develop efficient methodologies and data structures for gathering high-quality approximations of full genomic information, and will use these innovations as the foundation to develop novel, practical tools for clustering and visualization in genomic data mining and database management.
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    Funded Activity

    Discovery Projects - Grant ID: DP0665480

    Funder
    Australian Research Council
    Funding Amount
    $282,000.00
    Summary
    Next-Generation Reference Process Models. Business process modelling is a key tool for organisations striving to create efficiencies by leveraging their IT infrastructure. This project will develop techniques for increasing the productivity of business process analysts by allowing them to reuse as much as possible existing models rather than systematically desigining new ones from scratch. Specifically, the project will develop and validate a language for designing highly configurable process mo .... Next-Generation Reference Process Models. Business process modelling is a key tool for organisations striving to create efficiencies by leveraging their IT infrastructure. This project will develop techniques for increasing the productivity of business process analysts by allowing them to reuse as much as possible existing models rather than systematically desigining new ones from scratch. Specifically, the project will develop and validate a language for designing highly configurable process models. This language will enable superior approaches to business process modelling and hence smarter use of information. This will place Australia at the forefront of developments in business process management: a crucial technology in today's global, dynamic and heterogeneous environments.
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    Funded Activity

    Federation Fellowships - Grant ID: FF0348537

    Funder
    Australian Research Council
    Funding Amount
    $1,450,370.00
    Summary
    Stochastic Modelling of Genetic Regulatory Networks: Subtitle - Genetic Regulation is a Noisy Business. The completion of the human genome marked the culmination of one hundred years of reductionist science in cell biology. Although further bioinformatics analysis will continue, the focus is shifting towards synthesis and understanding how the regulatory genetic components dynamically interact to form functional phenotypes. The key to this is the understanding of the roles of stochasticity in .... Stochastic Modelling of Genetic Regulatory Networks: Subtitle - Genetic Regulation is a Noisy Business. The completion of the human genome marked the culmination of one hundred years of reductionist science in cell biology. Although further bioinformatics analysis will continue, the focus is shifting towards synthesis and understanding how the regulatory genetic components dynamically interact to form functional phenotypes. The key to this is the understanding of the roles of stochasticity in cellular processes. This project will explore these roles and will develop an integrated complex systems modelling, simulation and visualisation framework. This will be used on an exemplar application for lineage commitment in haematopoiesis and for exploring and validating genetic regulatory models in general.
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    Funded Activity

    Discovery Projects - Grant ID: DP0451696

    Funder
    Australian Research Council
    Funding Amount
    $210,000.00
    Summary
    Multiscale stochastic modelling of genetic regulatory mechanisms. The completion of the human genome marked the culmination of one hundred years of reductionist science in cell biology. Although further bioinformatics analysis will continue, the focus is shifting towards synthesis and understanding how the regulatory genetic components dynamically interact to form functional phenotypes. The key to this is the understanding of the roles of stochasticity in cellular processes. This project will ex .... Multiscale stochastic modelling of genetic regulatory mechanisms. The completion of the human genome marked the culmination of one hundred years of reductionist science in cell biology. Although further bioinformatics analysis will continue, the focus is shifting towards synthesis and understanding how the regulatory genetic components dynamically interact to form functional phenotypes. The key to this is the understanding of the roles of stochasticity in cellular processes. This project will explore these roles and will develop an integrated complex systems modelling, simulation and visualisation framework for exploring and validating genetic regulatory models in general. This will be used on an exemplar application for understanding the induction process in lambda phage.
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