Visual analytics for massive multivariate networks. Visual analytics for massive multivariate networks. This project aims to create methods to visually analyse massive multivariate networks. The amount of network data available has exploded in recent years: software systems, social networks and biological systems have millions of nodes and billions of edges with multivariate attributes. Their size and complexity makes these data sets hard to exploit. More efficient ways to understand the data ar ....Visual analytics for massive multivariate networks. Visual analytics for massive multivariate networks. This project aims to create methods to visually analyse massive multivariate networks. The amount of network data available has exploded in recent years: software systems, social networks and biological systems have millions of nodes and billions of edges with multivariate attributes. Their size and complexity makes these data sets hard to exploit. More efficient ways to understand the data are needed. This project will design, implement and evaluate visualisation methods for massive multivariate network data sets. This research is expected to be used by Australian software development, biotechnology and security companies to exploit their data.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
Machine Assisted, Multi-scale Spatial and Temporal Observation and Modeling of Marine Benthic Habitats. The Integrated Marine Observing System (IMOS) science plans include sampling campaigns reliant on Autonomous Underwater Vehicle (AUV) Facility data and designed to address the issues of marine biodiversity quantification and assurance. The proposed research will directly enhance the effectiveness of these programs by speeding labour-intensive analyses, aggregating the results, and searching f ....Machine Assisted, Multi-scale Spatial and Temporal Observation and Modeling of Marine Benthic Habitats. The Integrated Marine Observing System (IMOS) science plans include sampling campaigns reliant on Autonomous Underwater Vehicle (AUV) Facility data and designed to address the issues of marine biodiversity quantification and assurance. The proposed research will directly enhance the effectiveness of these programs by speeding labour-intensive analyses, aggregating the results, and searching for ecological patterns on a national scale that would be difficult to identify using traditional approaches tuned to process-scale studies. Australian society stands to benefit by virtue of improved large-scale models of ecosystem function and reduced cost for conducting marine ecosystem investigations.Read moreRead less
Physics-aware machine learning for data-driven fire risk prediction. The 2019/20 Australian fire season was unprecedented in its extent, impact, and the response of fire agencies. In this project, we aim to answer the question: was the scale of these fires driven by known drivers of fire (drought, weather, fuels and ignitions), or were fundamentally new undescribed processes and phenomena involved? We will accomplish this by developing an innovative, physics-aware machine learning model of fire ....Physics-aware machine learning for data-driven fire risk prediction. The 2019/20 Australian fire season was unprecedented in its extent, impact, and the response of fire agencies. In this project, we aim to answer the question: was the scale of these fires driven by known drivers of fire (drought, weather, fuels and ignitions), or were fundamentally new undescribed processes and phenomena involved? We will accomplish this by developing an innovative, physics-aware machine learning model of fire risk and spread, trained and validated on a two-decade satellite fire record. The predictive ability of the model will be tested on the 2019/20 fire season to determine if novel drivers of fire can be identified, and the model itself will be operationalised into a novel short-to-mid term fire risk prediction tool. Read moreRead less
Micro-electrofluidic platforms for monitoring 3D human biological models. The ability to study living cells and human biological models (cell cultures) delivers greater understanding of basic biological function and response to applied (bio)chemical stimuli. Creating the physical environments to sustain biological models, and mimic natural conditions and fluidic pathways, is immensely challenging, yet essential to deliver meaningful observational data. This project will deliver this capability t ....Micro-electrofluidic platforms for monitoring 3D human biological models. The ability to study living cells and human biological models (cell cultures) delivers greater understanding of basic biological function and response to applied (bio)chemical stimuli. Creating the physical environments to sustain biological models, and mimic natural conditions and fluidic pathways, is immensely challenging, yet essential to deliver meaningful observational data. This project will deliver this capability through the convergence of expertise and innovation in analytical chemistry, materials science and cellular biology, ultilising the latest technology and understanding of 3D micro/electrofluidics, to enable the study and stimulation of advanced biological models, sustained within precisely controlled 3D micro-environments.Read moreRead less
Marine vessel wave wake: Ferry operations in sheltered waterways. This project aims to address one of the biggest risk factors to the Sydney ferry system, by ensuring the waves that new ferries generate are minimised. This would reduce the impact on other users of this busy waterway or damage to the surrounding infrastructure or environment. Modernising Sydney’s fleet of iconic passenger ferries is an integral part of the New South Wales Government’s long-term transport master plan. The project ....Marine vessel wave wake: Ferry operations in sheltered waterways. This project aims to address one of the biggest risk factors to the Sydney ferry system, by ensuring the waves that new ferries generate are minimised. This would reduce the impact on other users of this busy waterway or damage to the surrounding infrastructure or environment. Modernising Sydney’s fleet of iconic passenger ferries is an integral part of the New South Wales Government’s long-term transport master plan. The project is intended to predict the waves produced by any proposed ferry operation, allowing changes to be made to minimise waves during early planning stages. The new method for predicting the complex wave phenomenon is designed to provide more comprehensive and accurate assessments than conventional technologies.Read moreRead less
Tailoring composite propellers for reduced sound radiation. This project aims to explore the generation of noise by composite propellers and to use this understanding to tailor the composite properties to reduce underwater noise. Propellers are a harmful source of noise in the marine environment, disturbing animal behaviour, revealing the location of naval vessels and interfering with sonar operation. Adaptive composite propellers are potentially quieter than metal propellers, as well as offerin ....Tailoring composite propellers for reduced sound radiation. This project aims to explore the generation of noise by composite propellers and to use this understanding to tailor the composite properties to reduce underwater noise. Propellers are a harmful source of noise in the marine environment, disturbing animal behaviour, revealing the location of naval vessels and interfering with sonar operation. Adaptive composite propellers are potentially quieter than metal propellers, as well as offering improvements in efficiency and fuel consumption. The aims of this project are to understand the physical mechanisms associated with composite propeller noise generation. The outcomes are intended to provide advanced numerical capabilities that will support the development of quieter marine propeller designs to improve defence capability and the acoustic environment for marine mammals.Read moreRead less
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
Smart Irrigation: integrating UAV soil moisture maps & variable rate sprays. This project will develop a state-of-the-art precision irrigation system for optimising water use and crop yield. Specifically, a novel UAV soil moisture mapping system based on passive microwave satellite remote sensing technology at L-band will be developed for near-surface soil moisture mapping at accuracies and spatial scales currently not attainable. These soil moisture maps will then be merged with irrigation wate ....Smart Irrigation: integrating UAV soil moisture maps & variable rate sprays. This project will develop a state-of-the-art precision irrigation system for optimising water use and crop yield. Specifically, a novel UAV soil moisture mapping system based on passive microwave satellite remote sensing technology at L-band will be developed for near-surface soil moisture mapping at accuracies and spatial scales currently not attainable. These soil moisture maps will then be merged with irrigation water delivery models to calibrate for spatial variation in soil properties and/or correct errors in spatial variation of rainfall and evapotranspiration inputs. Ultimately the water balance predictions will be used for implementation of variable rate irrigation control at scales hitherto unattainable.Read moreRead less
The Role of Naturalism in Ontology and Scientific Methodology. Naturalism is the philosophical doctrine perhaps best described as a respect for the methods of the natural sciences. Although most contemporary philosophers would describe themselves as naturalists, exactly how this important doctrine is spelled out is a matter of much controversy. What is more, many substantial issues in both philosophy of science and in metaphysics depend crucially on how we understand naturalism. This project ....The Role of Naturalism in Ontology and Scientific Methodology. Naturalism is the philosophical doctrine perhaps best described as a respect for the methods of the natural sciences. Although most contemporary philosophers would describe themselves as naturalists, exactly how this important doctrine is spelled out is a matter of much controversy. What is more, many substantial issues in both philosophy of science and in metaphysics depend crucially on how we understand naturalism. This project will investigate the various conceptions of naturalism, looking at both their motivations and their implications for philosophy and scientific and mathematical methodology.Read moreRead less