EPOS: Efficient Processing of Moving Object Streams in Data Management Systems. Advanced moving object data management systems are becoming a core technology for a large variety of applications such as traffic management and inventory tracking. These applications play a ubiquitous, critical role in our daily lives. In the same way as the first prototype of a relational database paved the way for successive relational database management systems, we envision that EPOS will form the foundation for ....EPOS: Efficient Processing of Moving Object Streams in Data Management Systems. Advanced moving object data management systems are becoming a core technology for a large variety of applications such as traffic management and inventory tracking. These applications play a ubiquitous, critical role in our daily lives. In the same way as the first prototype of a relational database paved the way for successive relational database management systems, we envision that EPOS will form the foundation for a new generation of moving object databases. EPOS is designed to process a large number of concurrently running continuous monitoring queries on a massive set of moving objects with frequent updates. Read moreRead less
Transition to a clean energy future: the role of climate change litigation in shaping our regulatory path. As the world seeks a clean energy future, courts in Australia and other key fossil fuel-producing nations, like the United States, are increasingly hearing cases seeking to block the use of coal due to its climate change effects. This project critically assesses the role such climate litigation plays in generating regulatory momentum to address climate change.
Efffective Management of Water Resources in Semiarid Regions Using Remote Sensing. Due to the vast expense and difficulties to access many areas from the ground, there is currently no effective system for assessing and managing water resources over many large semi-arid regions of the world. Through the study of two complementary Basins - The Murray and Lake Chad Basins - we propose a new approach based on satellite imagery to provide regular and detailed information on the state of our water res ....Efffective Management of Water Resources in Semiarid Regions Using Remote Sensing. Due to the vast expense and difficulties to access many areas from the ground, there is currently no effective system for assessing and managing water resources over many large semi-arid regions of the world. Through the study of two complementary Basins - The Murray and Lake Chad Basins - we propose a new approach based on satellite imagery to provide regular and detailed information on the state of our water resources in these areas. These innovative techniques will yield new information on critical water issues: water availability, salinity, groundwater/surface water interactions, climate and land use change impact. This project provides the basis for sustainable water use in regional Australia.Read moreRead less
Countering misconceptions in child sexual assault cases with expert evidence and judicial directions. This project reduces miscarriages of justice by identifying topics about which jurors benefit from specialised knowledge by an expert witnesses and the best way to deliver that information so they are better equipped to appropriately assess the credibility of child victims and offenders and render verdicts in cases of child sexual assault.
High-Accuracy Geopositioning from High-Resolution Satellite Imagery. The new technology of high-resolution satellite imaging (HRSI) is revolutionising geospatial information generation for digital mapping, GIS and remote sensing. This project will investigate the metric potential of HRSI and specifically high-accuracy 3D geopositioning. The research will address fundamental issues of imaging sensor orientation modelling, multi-image matching and terrain model extraction. New and refined algorith ....High-Accuracy Geopositioning from High-Resolution Satellite Imagery. The new technology of high-resolution satellite imaging (HRSI) is revolutionising geospatial information generation for digital mapping, GIS and remote sensing. This project will investigate the metric potential of HRSI and specifically high-accuracy 3D geopositioning. The research will address fundamental issues of imaging sensor orientation modelling, multi-image matching and terrain model extraction. New and refined algorithms and computational schemes will be formulated and implemented in software. These developments will then be evaluated through comprehensive experimental testing using Ikonos and Quickbird satellite imagery, with the expected project outcomes being new, experimentally validated computational models, which will advance geospatial information generation from HRSI.Read moreRead less
Fusion of Laser Ranging Data and Imagery for Generation of 3D Virtual Models. The creation of image texture-mapped, three-dimensional (3D) digital models of object scenes is becoming increasingly more important in virtual reality generation. Visually realistic computer models find application in reverse engineering and industrial metrology and design, but their utility is often limited by shortcomings in accuracy and completeness. This project aims, through a fusion of laser scanner data and dig ....Fusion of Laser Ranging Data and Imagery for Generation of 3D Virtual Models. The creation of image texture-mapped, three-dimensional (3D) digital models of object scenes is becoming increasingly more important in virtual reality generation. Visually realistic computer models find application in reverse engineering and industrial metrology and design, but their utility is often limited by shortcomings in accuracy and completeness. This project aims, through a fusion of laser scanner data and digital photogrammetric imagery, to develop improved mathematical models and computational systems to facilitate advances in automated 3D object reconstruction for high-definition, metrically accurate photo-realistic digital models. The principal outcome from the project will be enhanced 3D computer modelling for engineering applications.
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Automatic fusion of geoinformation: The intelligent geo-mediator architecture (iGMA). The efficient integration of geographic information from different sources (termed geoinformation fusion) is recognized internationally as a major problem for projects that rely on geographic information. Conventional geoinformation fusion procedures require manual assistance from human experts. This project will lead to increased speed, reliability, and economy for this task, by automating the process of geoin ....Automatic fusion of geoinformation: The intelligent geo-mediator architecture (iGMA). The efficient integration of geographic information from different sources (termed geoinformation fusion) is recognized internationally as a major problem for projects that rely on geographic information. Conventional geoinformation fusion procedures require manual assistance from human experts. This project will lead to increased speed, reliability, and economy for this task, by automating the process of geoinformation fusion. Many different application domains will benefit from these improvements to geoinformation fusion procedures, including emergency response systems (for example, helping to combine different data about the structural characteristics of buildings as part of a housing damage assessment following an earthquake).Read moreRead less
Intelligent Self-Organizing Transport. The project aims to develop smart transport solutions for Australia's sprawling mega-cities with their complex challenges to provide mobility and equitable access, and with their susceptibility to failure in cases of disasters. In particular, the project will develop software establishing intelligent and self-organizing transport management in urban environments. The project has potential to increase the mobility of citizens, even in low-density suburbs, by ....Intelligent Self-Organizing Transport. The project aims to develop smart transport solutions for Australia's sprawling mega-cities with their complex challenges to provide mobility and equitable access, and with their susceptibility to failure in cases of disasters. In particular, the project will develop software establishing intelligent and self-organizing transport management in urban environments. The project has potential to increase the mobility of citizens, even in low-density suburbs, by reducing the desire for individual car traffic at the same time. Since a self-organizing transport management works ad-hoc, it can be deployed also in devastated areas, e.g., after disasters.Read moreRead less
Data integration, scale and classification of remotely sensed imagery. This project will investigate and resolve the specific problems associated with processing, interpreting and classifying high-resolution satellite imagery. Previous work has shown that current algorithms developed for lower resolution remote sensing data are not appropriate for processing higher resolution data. New algorithms will be developed for geometrically and radiometrically processing high-resolution satellite data ....Data integration, scale and classification of remotely sensed imagery. This project will investigate and resolve the specific problems associated with processing, interpreting and classifying high-resolution satellite imagery. Previous work has shown that current algorithms developed for lower resolution remote sensing data are not appropriate for processing higher resolution data. New algorithms will be developed for geometrically and radiometrically processing high-resolution satellite data so that it can be interpreted in conjunction with other similar data, or existing lower resolution data. Consequently, the potential uses of high resolution satellite imagery will be greatly increased, allowing many more users to access the advantages of this unique source of data.Read moreRead less
Modern statistical methods for clustering community ecology data. This project will develop statistical methods and software for clustering community ecology data, and use them to analyse systematic survey and citizen science program data collected along the Great Barrier Reef. By doing so, the project will address the dearth of statistical classification techniques for high-dimensional, multi-response data with complex relationships. When the resultant clustering methods are used to construct b ....Modern statistical methods for clustering community ecology data. This project will develop statistical methods and software for clustering community ecology data, and use them to analyse systematic survey and citizen science program data collected along the Great Barrier Reef. By doing so, the project will address the dearth of statistical classification techniques for high-dimensional, multi-response data with complex relationships. When the resultant clustering methods are used to construct bioregions and characterise species’ environmental responses, they should significantly enhance evaluations of the impact of human activity and environmental change on coral diversity. Ultimately, these evaluations can underpin future decisions in the conservation and management of the Great Barrier Reef.Read moreRead less