Using data mining methods to remove uncertainties in sensor data streams. This project will develop key techniques for removing uncertainties in sensor data streams and thus improve the monitoring quality of sensor networks. The expected outcomes will benefit Australia by enabling improved, lower-cost monitoring of natural resources and management of stock raising.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE140100082
Funder
Australian Research Council
Funding Amount
$500,000.00
Summary
An Australasian facility for the automated fabrication of high performance bespoke components. A facility for the automated fabrication of high performance bespoke components: The project will create a new coordinated facility for composites research including modern automated infrastructure. The facility will bring Australia in line with leading international research centres and promote fundamental and applied research into a range of fields including underwater renewable energy systems, space ....An Australasian facility for the automated fabrication of high performance bespoke components. A facility for the automated fabrication of high performance bespoke components: The project will create a new coordinated facility for composites research including modern automated infrastructure. The facility will bring Australia in line with leading international research centres and promote fundamental and applied research into a range of fields including underwater renewable energy systems, space vehicle structures, multifunctional and smart materials and infrastructure capacity extension. The facility will position Australian research for significant international collaboration through endorsement of next-generation manufacturing technology and enable leading outcomes for Australasian science and engineering in aerospace, marine, civil, automotive, renewable energy and primary resources.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC220100003
Funder
Australian Research Council
Funding Amount
$4,930,205.00
Summary
ARC Training Centre for Biofilm Research and Innovation . The ARC Training Centre for Biofilm Research and Innovation aims to transform biofouling management strategies for maritime platforms by building on local and international expertise to mentor and train the next generation of interdisciplinary scientists and engineers. Anticipating evolving regulatory stringency, this project expects to establish a dynamic environment for industry partners, students and scientists to collaborate and devel ....ARC Training Centre for Biofilm Research and Innovation . The ARC Training Centre for Biofilm Research and Innovation aims to transform biofouling management strategies for maritime platforms by building on local and international expertise to mentor and train the next generation of interdisciplinary scientists and engineers. Anticipating evolving regulatory stringency, this project expects to establish a dynamic environment for industry partners, students and scientists to collaborate and develop biofilm management strategies. Expected outcomes include new and enhanced collaborations that advance and translate knowledge to better manage biofouling. The significant benefits will include a generation of industry-focused researchers critical for growing Australia’s Defence industry.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH180100002
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Research Hub for Driving Farming Productivity and Disease Prevention. The ARC Research Hub for Driving Farming Productivity and Disease Prevention aims to increase farm production and disease prevention through advancing and transferring new artificial intelligence technologies into industrial deployment. The Hub will combine machine vision, machine learning, software quality control, engineering, biology, and farming industries to develop technologies to build more intelligent systems. Thes ....ARC Research Hub for Driving Farming Productivity and Disease Prevention. The ARC Research Hub for Driving Farming Productivity and Disease Prevention aims to increase farm production and disease prevention through advancing and transferring new artificial intelligence technologies into industrial deployment. The Hub will combine machine vision, machine learning, software quality control, engineering, biology, and farming industries to develop technologies to build more intelligent systems. These dynamic systems will help determine what goal to achieve and the most efficient plan to achieve it. This Hub is expected to contribute to higher farming efficiency, lower production costs and fewer disease risks, giving the Australian industry new business opportunities and an international competitive advantage.Read moreRead less
The endangered swift parrot as a model for managing small migratory birds. Endangered swift parrots use variable locations while breeding in eastern Tasmania and over winter on the Australian mainland. This project aims to develop effective conservation strategies for swift parrots and other migrants using new and long term data and innovative technological solutions to tracking small birds across vast landscapes.
Reasonable Adjustments to Maths for Students with Intellectual Disabilities. Reasonable adjustments to secondary mathematics – parents want it, students need it, the Australian law requires it – but how do teachers achieve it? The aim of this project is to find ways to adjust, teach and assess secondary mathematics for students with intellectual and developmental disabilities. The significance of this study is in solving a problem facing teachers who are required by law to teach mathematics with ....Reasonable Adjustments to Maths for Students with Intellectual Disabilities. Reasonable adjustments to secondary mathematics – parents want it, students need it, the Australian law requires it – but how do teachers achieve it? The aim of this project is to find ways to adjust, teach and assess secondary mathematics for students with intellectual and developmental disabilities. The significance of this study is in solving a problem facing teachers who are required by law to teach mathematics without evidence informed approaches. Expected outcomes are an evidence-base for reasonable adjustments to secondary mathematics and approaches and strategies for teachers for inclusive practices. If ways for teaching year-level mathematics to learners with intellectual disability are developed, many more students may benefit.
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Evolution. Morphodynamics and History of the Younghusband Peninsula. This project will examine the history and evolution of the Sir Richard-Younghusband Peninsula (SRYP) complex barrier in SA. The aims are to derive a understanding of how the influences of relative sea-level changes, neotectonics, and sediment supply, can produce remarkably different responses in barrier development. No complex barrier (i.e. foredune ridges in one portion, transgressive dunefields in another) has ever been compr ....Evolution. Morphodynamics and History of the Younghusband Peninsula. This project will examine the history and evolution of the Sir Richard-Younghusband Peninsula (SRYP) complex barrier in SA. The aims are to derive a understanding of how the influences of relative sea-level changes, neotectonics, and sediment supply, can produce remarkably different responses in barrier development. No complex barrier (i.e. foredune ridges in one portion, transgressive dunefields in another) has ever been comprehensively drilled, dated, modelled, or examined in the context of indigenous occupation and oral histories in Australia. The study provides excellent analogues for barrier and dune response, and shoreline translation to varying rates of sea level rise, paralleling pressures facing all coastlines today.Read moreRead less
Integrating fire and predator management to conserve threatened species. This project aims to empower land managers to better conserve Australia’s threatened native animals by developing decision-support approaches that facilitate integrated management of threatening processes. The project will use a combination of novel predictive models, field experiments and data syntheses to assist land managers to better conserve Australia’s threatened native fauna. This project will benefit biodiversity co ....Integrating fire and predator management to conserve threatened species. This project aims to empower land managers to better conserve Australia’s threatened native animals by developing decision-support approaches that facilitate integrated management of threatening processes. The project will use a combination of novel predictive models, field experiments and data syntheses to assist land managers to better conserve Australia’s threatened native fauna. This project will benefit biodiversity conservation by enabling more effective allocation of limited conservation resources.Read moreRead less
Restoring resilience in wildlife populations. This project will be the first to develop landscape models of habitat quality for wildlife that are based on a mechanistic, animal-centric approach to quantifying habitat. This will be an important step in understanding the habitat elements that wildlife need to live in altered landscapes, with implications central to restoration and revegetation.
Clothes, fibres and filters that reduce pollution by micro and nano debris. This project aims to provide scientifically verified methods to avoid, intercept and redesign products that cause the most abundant type of marine plastic pollution – clothing fibres - which has increased by over 450% in 60 years. It will determine how natural and plastic fibres, clothing brands and washing machine filters, alter fibre emissions and ecological impacts. This will enable protocols to improve products and t ....Clothes, fibres and filters that reduce pollution by micro and nano debris. This project aims to provide scientifically verified methods to avoid, intercept and redesign products that cause the most abundant type of marine plastic pollution – clothing fibres - which has increased by over 450% in 60 years. It will determine how natural and plastic fibres, clothing brands and washing machine filters, alter fibre emissions and ecological impacts. This will enable protocols to improve products and the environment, and reduce health risks that will benefit the public, government regulation and companies in designing "eco-friendly" products.Read moreRead less