Integrated Water Management in the Lower Richmond Catchment. Water quality in Richmond River estuary, NSW, is of critical concern to fishing, aquaculture, tourism and recreation industries. Upland horticulture on the Alstonville Plateau and drained acid sulfate soils in lowland floodplains discharge nutrient-rich, acidic water to the estuary. Previous studies have treated floodplains, upland and estuary separately. This study will develop an integrated catchment approach to water management in t ....Integrated Water Management in the Lower Richmond Catchment. Water quality in Richmond River estuary, NSW, is of critical concern to fishing, aquaculture, tourism and recreation industries. Upland horticulture on the Alstonville Plateau and drained acid sulfate soils in lowland floodplains discharge nutrient-rich, acidic water to the estuary. Previous studies have treated floodplains, upland and estuary separately. This study will develop an integrated catchment approach to water management in the Lower Richmond by treating surface water and groundwater as a single resource. The whole-of-system approach will help mitigate socio-economic and environment impacts of nutrient-rich and acidic drainage waters. It will be transferable to other "hot spots" in Australia.Read moreRead less
Adaptive Agents Simulation of Freshwater Ecosystems: Artificial Intelligence Framework to Discover and Forecast Emergent Ecosystem Structures and Behaviours in Response to Environmental Changes. The project aims at intelligent adaptive agent models for lakes and rivers in order to improve understanding and proactive management of these highly complex ecosystems. Little is known about species succession in freshwater ecosystems in response to local and global environmental changes. Evolutionary a ....Adaptive Agents Simulation of Freshwater Ecosystems: Artificial Intelligence Framework to Discover and Forecast Emergent Ecosystem Structures and Behaviours in Response to Environmental Changes. The project aims at intelligent adaptive agent models for lakes and rivers in order to improve understanding and proactive management of these highly complex ecosystems. Little is known about species succession in freshwater ecosystems in response to local and global environmental changes. Evolutionary algorithms embodied in differential equations, neural networks and rules allow adaptive agents to simulate emergent structures and behaviours of algae and zooplankton communities interacting by competition and predation. The agents are trained and tested by ecological time-series of twelve lakes and rivers, and validated for the Mediterranean Myponga Reservoir, South Australia, and the temperate Burrinjuck Reservoir, NSW.Read moreRead less
Simulation Technology for Modelling Extreme Bushfire Behaviour. Extreme fires cause immeasurable damage to communities through destruction of homes and damage to infrastructure. Large, highly intense fires reduce biodiversity, take decades for recovery, increase greenhouse gas emissions and reduce carbon storage capacity. Climate change is likely to increase the frequency of extreme fire weather increasing the need for reliable fire spread prediction under extreme conditions and to reduce impa ....Simulation Technology for Modelling Extreme Bushfire Behaviour. Extreme fires cause immeasurable damage to communities through destruction of homes and damage to infrastructure. Large, highly intense fires reduce biodiversity, take decades for recovery, increase greenhouse gas emissions and reduce carbon storage capacity. Climate change is likely to increase the frequency of extreme fire weather increasing the need for reliable fire spread prediction under extreme conditions and to reduce impact by preparedness and suppression. Incorporating an evidence-based fire spread model into a fire location forecasting system will give fire agencies early warning of potentially disastrous fires, enable early response to prevent fires and mitigate the consequence to life, property and the environment. Read moreRead less
Sentient buildings. This project aims to unite outputs from the large and varied array of sensors deployed in buildings into a coherent whole. By coordinating detections of resources and personnel from multiple sensors, it intends to enable more efficient allocation of shared resources within a public site such as a hospital, and enable a more effective emergency response. It intends to also allow the building to adapt over time to the way it is used, or to changing conditions. This is expected ....Sentient buildings. This project aims to unite outputs from the large and varied array of sensors deployed in buildings into a coherent whole. By coordinating detections of resources and personnel from multiple sensors, it intends to enable more efficient allocation of shared resources within a public site such as a hospital, and enable a more effective emergency response. It intends to also allow the building to adapt over time to the way it is used, or to changing conditions. This is expected to benefit the Australian construction industry as well as building operators, giving them a valuable export commodity. It intends also to benefit inhabitants of the buildings by providing a more safe, secure and accommodating environment.Read moreRead less
Pattern Discovery of Discriminating Behaviour Associated with Hidden Communities. A sound understanding of discriminating behaviour in hidden communities, e.g. market manipulation, is essential for effective intervention and prevention. This project will deliver novel and workable algorithms and tools for modelling and pattern discovery of such behaviour. This will safeguard Australia by tackling crucial business and social issues like abnormal trading, online crime and terrorism, thereby enhanc ....Pattern Discovery of Discriminating Behaviour Associated with Hidden Communities. A sound understanding of discriminating behaviour in hidden communities, e.g. market manipulation, is essential for effective intervention and prevention. This project will deliver novel and workable algorithms and tools for modelling and pattern discovery of such behaviour. This will safeguard Australia by tackling crucial business and social issues like abnormal trading, online crime and terrorism, thereby enhancing public confidence, compliance and security in both the economy and society, by preventing and reducing economic and social impact. It will create skills and outcomes to further Australia's leadership in managing emerging data mining challenges and applications, and will deepen collaboration with eminent researchers worldwide.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0775760
Funder
Australian Research Council
Funding Amount
$101,967.00
Summary
Satellite remote sensing and GIS data processing facilities at Charles Darwin University, Darwin. Northern Australia is vast, remote and spreads across diverse and extensive landscapes. There is no centralised remote sensing and GIS facility within 2000 kilometres of the CDU, Darwin. The upgraded infrastructure at CDU will assist in strengthening the research base in this remote part of Australia. This will allow the NT researchers to focus on the environmental applications of remote sensing and ....Satellite remote sensing and GIS data processing facilities at Charles Darwin University, Darwin. Northern Australia is vast, remote and spreads across diverse and extensive landscapes. There is no centralised remote sensing and GIS facility within 2000 kilometres of the CDU, Darwin. The upgraded infrastructure at CDU will assist in strengthening the research base in this remote part of Australia. This will allow the NT researchers to focus on the environmental applications of remote sensing and GIS technologies which will have many community benefits through better management of water resources, land degradation, wetlands, cultural knowledge and sustainable use of Australian biodiversity. The infrastructure will also assist in the training of new researchers within this developing field.
Read moreRead less
Machine learning techniques for fuel loss detection at service stations. This project aims to develop effective techniques to identify the sources of fuel losses, such as leaks and calibration errors in underground storage tanks at service stations. Monitoring fuel losses at service stations is influenced by many external factors which can be difficult to predict. The project expects to use machine learning to develop the techniques and test them with live data at service stations. The expected ....Machine learning techniques for fuel loss detection at service stations. This project aims to develop effective techniques to identify the sources of fuel losses, such as leaks and calibration errors in underground storage tanks at service stations. Monitoring fuel losses at service stations is influenced by many external factors which can be difficult to predict. The project expects to use machine learning to develop the techniques and test them with live data at service stations. The expected outcomes are a set of tailor-made machine learning techniques for effective fuel loss detection and a software suite that can be easily incorporated into the normal operation of service stations. This should reduce the costs to the petroleum industry from wasteful leaks and the environmental damage caused by these leaks. Read moreRead less
Developing a truly intelligent water meter through advanced data analytics. Developing a truly intelligent water meter through advanced data analytics. This project aims to develop intelligent pattern recognition algorithms using international data sets to autonomously categorise household water consumption data into end-uses (e.g. showers, leaks). Despite intelligent meters, big data chokes rather than enables decision making for customers and utilities. This project will resolve information sy ....Developing a truly intelligent water meter through advanced data analytics. Developing a truly intelligent water meter through advanced data analytics. This project aims to develop intelligent pattern recognition algorithms using international data sets to autonomously categorise household water consumption data into end-uses (e.g. showers, leaks). Despite intelligent meters, big data chokes rather than enables decision making for customers and utilities. This project will resolve information synthesis concerns using a combination of non-linear blind source separation techniques adapted from the pattern recognition, signal processing and decision science fields. Expected outcomes are that utilities will be leaders of sustainable water use in the information age, and that customers can use phones to access real-time data of water consumption.Read moreRead less
Multi-scale recognition: generating meaning from multi-resolution data. The next generation of robots will be able to precisely recognise objects to reason about the world. This project will develop robust recognition systems that will aid robots in providing assistance in populated urban areas as well as in monitoring underwater environments for marine biodiversity preservation.
Exposing the anonymous attacker: detecting identity crimes using real-time entity resolution on large dynamic databases. Given the increasingly large costs of identity crimes in Australia, developing improved electronic identity verification techniques is highly significant in reducing losses from such crimes, making the Australian economy more competitive, and increasing consumer confidence in Australian financial institutions. Veda Advantage is widely used for identity verification by Australi ....Exposing the anonymous attacker: detecting identity crimes using real-time entity resolution on large dynamic databases. Given the increasingly large costs of identity crimes in Australia, developing improved electronic identity verification techniques is highly significant in reducing losses from such crimes, making the Australian economy more competitive, and increasing consumer confidence in Australian financial institutions. Veda Advantage is widely used for identity verification by Australian financial service providers, so the benefits of the techniques developed in this project will automatically flow through to the Australian community. These techniques will be sufficiently generic to be of use for real-time identity verification in a broad range of applications, including e-Government portals, electronic banking, online stores, or national security systems.Read moreRead less