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Scheme : Linkage Projects
Research Topic : NEURAL NETWORK
Australian State/Territory : WA
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  • Funded Activity

    Linkage Projects - Grant ID: LP0990610

    Funder
    Australian Research Council
    Funding Amount
    $314,193.00
    Summary
    Congestion management in key road networks of a major city through real time data collection, intelligent forecasting and real time routing. The project researches the issues for allowing Australian Road Traffic Authorities to automatically capture road traffic data, forecast traffic flows and smartly route traffic flows to avoid congestion on road networks. This will lead to several benefits, such as (a) reducing traffic congestion, shorten travel time and lower pollution, (b) better utilizati .... Congestion management in key road networks of a major city through real time data collection, intelligent forecasting and real time routing. The project researches the issues for allowing Australian Road Traffic Authorities to automatically capture road traffic data, forecast traffic flows and smartly route traffic flows to avoid congestion on road networks. This will lead to several benefits, such as (a) reducing traffic congestion, shorten travel time and lower pollution, (b) better utilization of existing road infrastructure by diffusing traffic to alternate routes, (c) provide economic benefit by allowing one to delay infrastructure expansion, (d) monitoring of aberrant behaviour by road users to ensure a safer road environment, and (e) improved flexibility in deployment of the Wireless Sensor Network to meet the needs of the road authorities and community.
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    Funded Activity

    Linkage Projects - Grant ID: LP0234452

    Funder
    Australian Research Council
    Funding Amount
    $135,270.00
    Summary
    The Relevance of the Bovine Major Histocompatibility Complex (MHC) to Milk Production. The objective of this project is to provide the dairy industry with an integrated package that includes a ?dairy performance database? linked to DNA-based information to complement existing breeding practices. Our intention is increase the profitability of the dairy industry, hence making a dairy farm a sustainable venture in a deregulated environment. Profitability results from a combination of several fact .... The Relevance of the Bovine Major Histocompatibility Complex (MHC) to Milk Production. The objective of this project is to provide the dairy industry with an integrated package that includes a ?dairy performance database? linked to DNA-based information to complement existing breeding practices. Our intention is increase the profitability of the dairy industry, hence making a dairy farm a sustainable venture in a deregulated environment. Profitability results from a combination of several factors. The drivers of the industry include political, market, environmental, husbandry, nutrition, and genetic factors. These factors are interrelated. In this proposal, we are specifically interested in the relationship between milk yields and the DNA profile of dairy cattle.
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    Funded Activity

    Linkage Projects - Grant ID: LP0347915

    Funder
    Australian Research Council
    Funding Amount
    $167,000.00
    Summary
    Evolutionary Design for Ore Processing Plants. This project will investigate the use of evolutionary algorithms (EAs) in the design of ore processing plants. Ore processing is a major activity in the Australian mining industry, and a significant source of export dollars. Prior work has demonstrated that EAs can out-perform previous manual and automated design techniques for individual processing units. This project will apply EAs to the design of whole flowsheets containing arbitrary combination .... Evolutionary Design for Ore Processing Plants. This project will investigate the use of evolutionary algorithms (EAs) in the design of ore processing plants. Ore processing is a major activity in the Australian mining industry, and a significant source of export dollars. Prior work has demonstrated that EAs can out-perform previous manual and automated design techniques for individual processing units. This project will apply EAs to the design of whole flowsheets containing arbitrary combinations of different types of units. The complexity of typical flowsheet layouts will require new algorithms to discover improved designs in practical time, so parallel hardware, and new parallel EAs, will be utilised.
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    Funded Activity

    Linkage Projects - Grant ID: LP100200693

    Funder
    Australian Research Council
    Funding Amount
    $300,000.00
    Summary
    Intelligent real time multi-site controller for conserving energy in remote areas and in the resource industry. This project researches the issues in achieving demand response for electricity usage in remote regions of Australia through the use of smart meters and web of things framework to provide ubiquitous monitoring and control of devices, intelligent control systems to dynamically change energy usage patterns and community-based social network architecture. This will lead to several benefit .... Intelligent real time multi-site controller for conserving energy in remote areas and in the resource industry. This project researches the issues in achieving demand response for electricity usage in remote regions of Australia through the use of smart meters and web of things framework to provide ubiquitous monitoring and control of devices, intelligent control systems to dynamically change energy usage patterns and community-based social network architecture. This will lead to several benefits, such as (a) the strengthening of Australian business competitiveness in these regions by reducing energy costs and increasing energy trading, (b) reduction in ecological impact through smarter utilisation of energy and shifting to renewable sources, (c) encourage local generation and distribution of electricity where communities can trade excess energy.
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