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  • Funded Activity

    Special Research Initiatives - Grant ID: SR0354693

    Funder
    Australian Research Council
    Funding Amount
    $10,000.00
    Summary
    Australian e-Research Grid. The e-Research Grid program will research and implement core Grid technologies on APAC and partner's deployed HPC resources, to underpin a broad range of Australian research. The computer science CIs will form collaborative links with international programs, adapting developments to local circumstances. The applications-domain CIs will leverage those into their scientific simulations and databases, using grid integrative techniques and portals. Many CIs participate in .... Australian e-Research Grid. The e-Research Grid program will research and implement core Grid technologies on APAC and partner's deployed HPC resources, to underpin a broad range of Australian research. The computer science CIs will form collaborative links with international programs, adapting developments to local circumstances. The applications-domain CIs will leverage those into their scientific simulations and databases, using grid integrative techniques and portals. Many CIs participate in other RNs linking to their motivating applications, enhancing prospects for research and integration. They participate in the APAC Grid program, leveraging 75 HPC staff nationally. A key aim is interoperability with "real-world Grids": eg e-learning & e-health programs.
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    Funded Activity

    Linkage Projects - Grant ID: LP0454057

    Funder
    Australian Research Council
    Funding Amount
    $70,668.00
    Summary
    Application of Knowledge-Based Engineering (KBE) Technology to Intelligent Design Engineering Systems. Knowledge Based Engineering (KBE) is a systematic approach to the integration of design and manufacturing of products and their related processes, from concept to disposal. Typical for KBE applications is that it accepts design rules and procedures. This makes the design process more efficient, which reduces development cost and product lead time. It also enables knowledge and experience to be .... Application of Knowledge-Based Engineering (KBE) Technology to Intelligent Design Engineering Systems. Knowledge Based Engineering (KBE) is a systematic approach to the integration of design and manufacturing of products and their related processes, from concept to disposal. Typical for KBE applications is that it accepts design rules and procedures. This makes the design process more efficient, which reduces development cost and product lead time. It also enables knowledge and experience to be captured and retained which reduces training cost and makes new staff more effective. The aim of the project is to develop a KBE environment for wire and conduit routing through complex structures and verify the benefits in an industry environment.
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    Funded Activity

    Linkage Projects - Grant ID: LP0455105

    Funder
    Australian Research Council
    Funding Amount
    $239,776.00
    Summary
    Formal Context Analysis in Rapidly Evolving Knowledge Webs (4CARE-K). On-the-fly personalised assembly of complex objects (learning materials, contracts, plans, designs, software configurations, etc) is increasingly expected in knowledge processing and decision making. This requires the discovery of discrete underlying models and taxonomies of subject domains and statistical matching in dynamically varying contexts defined by changing personal preferences, tasks, objectives and other chara .... Formal Context Analysis in Rapidly Evolving Knowledge Webs (4CARE-K). On-the-fly personalised assembly of complex objects (learning materials, contracts, plans, designs, software configurations, etc) is increasingly expected in knowledge processing and decision making. This requires the discovery of discrete underlying models and taxonomies of subject domains and statistical matching in dynamically varying contexts defined by changing personal preferences, tasks, objectives and other characteristics. This project addresses formal models of context and similarity based in applied lattice theory (formal concepts), feature logic and statistical retrieval. Parallel algorithms will be developed, analysed and benchmarked to enable high-performance processing of vast numbers of heterogeneous objects in a distributed knowledge web.
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