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.
Discovery Early Career Researcher Award - Grant ID: DE220100265
Funder
Australian Research Council
Funding Amount
$417,000.00
Summary
A closed-loop human–agent learning framework to enhance decision making. This project aims to design a foundational human–agent learning framework to augment the decision making process, using reinforcement and closed-loop mechanisms to enable symbiosis between a human and an artificial-intelligence agent. It envisages significant new technologies to promote controllability and efficient and safe exploration of an environment for decision actions – drastically boosting learning effectiveness and ....A closed-loop human–agent learning framework to enhance decision making. This project aims to design a foundational human–agent learning framework to augment the decision making process, using reinforcement and closed-loop mechanisms to enable symbiosis between a human and an artificial-intelligence agent. It envisages significant new technologies to promote controllability and efficient and safe exploration of an environment for decision actions – drastically boosting learning effectiveness and interpretability in decision making. Expected outcomes will benefit national cybersecurity by improving our understanding of vulnerabilities and threats involving decision actions, and by ensuring that human feedback and evaluations can help prevent catastrophic events in explorations of dynamic and complex environments.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
Ring constructions and algorithms for enhancing performance of BCH codes. BCH codes form a major class of codes used in modern communication systems. The aim of this project is to enhance the efficiency of this class of codes by combining them in constructions enabling correction of deletion and insertion errors, and develop efficient implementations of encoding and decoding algorithms incorporating soft decision methods for enhanced error correction. Significance of the project is explained by ....Ring constructions and algorithms for enhancing performance of BCH codes. BCH codes form a major class of codes used in modern communication systems. The aim of this project is to enhance the efficiency of this class of codes by combining them in constructions enabling correction of deletion and insertion errors, and develop efficient implementations of encoding and decoding algorithms incorporating soft decision methods for enhanced error correction. Significance of the project is explained by the role of fast, secure and reliable communications in modern information and communication technology. Expected outcomes include new efficient algorithms and commercial modules available for symbolic computation systems with applications in telecommunications industry.
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The pharmacokinetics of plant secondary metabolites and their effects on feeding in the brushtail possum. Plant secondary metabolites (PSMs) are considered to protect against herbivory, although the mechanisms are not well understood. This project will determine how marsupial folivores avoid toxicity when browsing on Eucalyptus leaf. Blood levels of terpenes, phenols and their metabolites will be measured in the brushtail possum while it feeds on a diet of varying PSM content. We expect to be ab ....The pharmacokinetics of plant secondary metabolites and their effects on feeding in the brushtail possum. Plant secondary metabolites (PSMs) are considered to protect against herbivory, although the mechanisms are not well understood. This project will determine how marsupial folivores avoid toxicity when browsing on Eucalyptus leaf. Blood levels of terpenes, phenols and their metabolites will be measured in the brushtail possum while it feeds on a diet of varying PSM content. We expect to be able to show relationships between the ingestion and blood levels of PSMs and feeding behaviour. This will give a greater understanding of the effect of plant toxins on browsing behaviour, enabling improved foraging models and more effective habitat management.Read moreRead less
Mammal declines in northern Australia: science for conservation and recovery. Australia’s unique mammal fauna is a rich biological heritage for the nation. It provides a wealth of ecosystem services, and many mammal species have special cultural or aesthetic value. However, our mammals are sadly depleted, and we already have the worst record of recent mammal extinction of any nation. Preventing further mammal extinctions, and managing environments to allow declined mammals to recover, will be of ....Mammal declines in northern Australia: science for conservation and recovery. Australia’s unique mammal fauna is a rich biological heritage for the nation. It provides a wealth of ecosystem services, and many mammal species have special cultural or aesthetic value. However, our mammals are sadly depleted, and we already have the worst record of recent mammal extinction of any nation. Preventing further mammal extinctions, and managing environments to allow declined mammals to recover, will be of great benefit to Australian biodiversity and to the ecosystem processes and human values that depend on it.Read moreRead less
Managing Tasmanian devil populations affected by the Devil Facial Tumour Disease. This project aims to put the science behind management options for wild Tasmanian devil populations affected by the Devil Facial Tumour Disease (DFTD), a new emerging wildlife disease that is decimating devil populations across large parts of Tasmania. DFTD behaves atypically compared with well-studied wildlife disease models; this project may result in important breakthroughs in our understanding of wildlife disea ....Managing Tasmanian devil populations affected by the Devil Facial Tumour Disease. This project aims to put the science behind management options for wild Tasmanian devil populations affected by the Devil Facial Tumour Disease (DFTD), a new emerging wildlife disease that is decimating devil populations across large parts of Tasmania. DFTD behaves atypically compared with well-studied wildlife disease models; this project may result in important breakthroughs in our understanding of wildlife diseases. Conservation outcomes of the project may slow the spread of the disease and in aiding population recovery. Devils are an iconic species with economic benefits for ecotourism and livestock farms, industries which are based in economically depressed rural regions.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.
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