An automated system for the analysis of road safety and conditions. This project aims to develop an automated system for the analysis of road safety and conditions. Digital video road data is collected over every state road in Queensland annually, and has the potential to provide a range of value-added products for safer roads. This project will develop deep learning based neural network techniques which can learn and classify roadside objects so that video data can be automatically analysed all ....An automated system for the analysis of road safety and conditions. This project aims to develop an automated system for the analysis of road safety and conditions. Digital video road data is collected over every state road in Queensland annually, and has the potential to provide a range of value-added products for safer roads. This project will develop deep learning based neural network techniques which can learn and classify roadside objects so that video data can be automatically analysed allowing the estimation of the proximity of objects for road safety and rating. The expected outcome will be new identification techniques and software which can be incorporated with road data collection systems.Read moreRead less
Application of artificial neural network in flood emergency decision support system. This project will develop a method for rapid estimation of flood water levels. This will increase the warning time for flood evacuation in small coastal catchments where traditional estimating techniques are too time-consuming.
Smart Information Processing for Roadside Fire Risk Assessment Using Computational Intelligence and Pattern Recognition. This project proposes a novel approach for identifying roadside fire risks using pattern recognition and computational intelligence techniques. The video data is collected over every state road in Queensland annually, and has the potential to provide a range of value-added products for safer roads. This project aims to develop new techniques for identification of roadside obje ....Smart Information Processing for Roadside Fire Risk Assessment Using Computational Intelligence and Pattern Recognition. This project proposes a novel approach for identifying roadside fire risks using pattern recognition and computational intelligence techniques. The video data is collected over every state road in Queensland annually, and has the potential to provide a range of value-added products for safer roads. This project aims to develop new techniques for identification of roadside objects so that the data can be automatically analysed allowing the estimation of fire risk factors. The final outcome intends to be techniques for segmentation and classification of roadside objects and estimation of fire risk factors.Read moreRead less
A Socially Conscious Smart IoT Platform for Water Quality Monitoring. This project will develop an intelligent remote water quality monitoring platform based on a new sensor network architectural paradigm. Expected outcomes include an artificially intelligent water quality monitoring system that is produced via a unique social enterprise business model. This approach will facilitate widespread remote water quality monitoring, leading to an enhanced understanding of the environment, whilst provid ....A Socially Conscious Smart IoT Platform for Water Quality Monitoring. This project will develop an intelligent remote water quality monitoring platform based on a new sensor network architectural paradigm. Expected outcomes include an artificially intelligent water quality monitoring system that is produced via a unique social enterprise business model. This approach will facilitate widespread remote water quality monitoring, leading to an enhanced understanding of the environment, whilst providing valuable training/education for the community stakeholders involved in the production of the system. The research outcome will be globally significant, enabling end users to meet key water quality objectives over time, and considerably increase productivity in the Australian agriculture/aquaculture industries.Read moreRead less
A Space-Based Quantum Communications Platform using Continuous Variables. This work proposes to investigate a new space-borne platform capable of quantum communications with a terrestrial ground station. Different from existing space-borne quantum communication platforms, our new platform will be based on CV (Continuous Variable) technology and will integrate the ability to seamlessly switch to classical Free-Space Optical communications when channel conditions deem quantum communications are .... A Space-Based Quantum Communications Platform using Continuous Variables. This work proposes to investigate a new space-borne platform capable of quantum communications with a terrestrial ground station. Different from existing space-borne quantum communication platforms, our new platform will be based on CV (Continuous Variable) technology and will integrate the ability to seamlessly switch to classical Free-Space Optical communications when channel conditions deem quantum communications are too difficult. Currently no quantum satellite built on CV technology exists. Our research will produce a significant advance in an emerging technology space, and will allow Australia to take scientific leadership in an important aspect of ultra-secure communications from satellites.
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Modelling interactions of spray droplets with plants. This project addresses the National Research Priority of an environmentally sustainable Australia by developing sophisticated mathematical models and interactive software that will identify environmentally friendlier technologies to efficiently deliver agrichemicals while minimising large scale water usage. National benefits will accrue from the provision for postdoctoral, PhD and IT staff training, while direct links with industry will provi ....Modelling interactions of spray droplets with plants. This project addresses the National Research Priority of an environmentally sustainable Australia by developing sophisticated mathematical models and interactive software that will identify environmentally friendlier technologies to efficiently deliver agrichemicals while minimising large scale water usage. National benefits will accrue from the provision for postdoctoral, PhD and IT staff training, while direct links with industry will provide technology transfer to end-users to ensure community uptake. The project will benefit rural and regional communities by providing long-term solutions in the areas of water use and quality, pesticide pollution reduction, and improved environment and human health care.Read moreRead less
Diffusion and transport of saltwater in coastal aquifers. Saltwater intrusion is a severe environmental problem in coastal regions of Australia, resulting in loss of agricultural land at an alarming rate. This project aims to develop a three-dimensional mathematical model for the simulation and prediction of saltwater intrusion into complex coastal aquifers based on recent advances in the theory of anomalous diffusion, stochastic modelling and numerical methods. The parameters of the model such ....Diffusion and transport of saltwater in coastal aquifers. Saltwater intrusion is a severe environmental problem in coastal regions of Australia, resulting in loss of agricultural land at an alarming rate. This project aims to develop a three-dimensional mathematical model for the simulation and prediction of saltwater intrusion into complex coastal aquifers based on recent advances in the theory of anomalous diffusion, stochastic modelling and numerical methods. The parameters of the model such as hydraulic conductivity and porosity will be estimated using multifractal techniques based on field data at the microscale. Once validated from measurements, the model will be used directly for resource management and planning.Read moreRead less
Evolution of halophytes: a phyloinformatic approach to understanding and exploiting the traits underlying salt-tolerance in plants. Salinity is an increasing burden on the Australian economy & environment, with >2 million ha of salt-affected land, at an annual cost to agriculture over $187 million. One solution is to exploit naturally salt-tolerant plants to increase productive agricultural land and restore salt-affected environments. To do this, we must increase basic knowledge of the diversity ....Evolution of halophytes: a phyloinformatic approach to understanding and exploiting the traits underlying salt-tolerance in plants. Salinity is an increasing burden on the Australian economy & environment, with >2 million ha of salt-affected land, at an annual cost to agriculture over $187 million. One solution is to exploit naturally salt-tolerant plants to increase productive agricultural land and restore salt-affected environments. To do this, we must increase basic knowledge of the diversity & distribution of salt-tolerance. This project is the first to use DNA sequences from thousands of species to understand the evolution of salt-tolerance in order to provide the foundation for the development of new crop varieties, selection of species that can be developed for bioremediation, and identification of traits that will be profitable targets for breeding programs. Read moreRead less
Genomic tools for the emerging tropical rock lobster aquaculture industry. Australia has just developed the skills to farm tropical rock lobsters, a popular celebratory dish in Asia. Our project will boost this industry by developing genetic markers, which later can be used to choose the best stud lobsters for breeding.
Insulated sandwich panels in high temperature environments. A robust model comprising pyrolysis of polymeric material coupled with gas combustion will be developed to predict the burning behaviour of expanded polystyrene insulated sandwich panels. These models will provide an effective design tool for fire safety engineering design and the assessment of a wide range of polymeric materials in fire conditions.