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.
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
Phosphate stabilisation of metalliferous mine wastes: The key to solving a major environmental issue? Mine wastes represent the greatest proportion of solid waste produced by mankind. Unconstrained drainage from sulfide-rich mine wastes impacts on water, soil and sediment quality. This project will establish the scientific principles of phosphate stabilisation, which involves the addition of phosphate compounds to mine wastes and soils to permanently contain metals and acid. A solid understandin ....Phosphate stabilisation of metalliferous mine wastes: The key to solving a major environmental issue? Mine wastes represent the greatest proportion of solid waste produced by mankind. Unconstrained drainage from sulfide-rich mine wastes impacts on water, soil and sediment quality. This project will establish the scientific principles of phosphate stabilisation, which involves the addition of phosphate compounds to mine wastes and soils to permanently contain metals and acid. A solid understanding of this emerging technology is a prerequisite for any sustainable management of mine sites. The study will provide the foundation of future management tools needed by landholders, industry and regulators to remediate mined land and waste repositories.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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