Continuous process improvement through workstation feedback for General Practice medicine using experts-in-the-loop data mining. This project investigates the iterative use of data mining results to allow experts to construct feedback to influence subsequent production work. We explore the problem in the context of General Practice medicine by having General Practitioners (GPs) review emerging patterns from their own practice's electronic medical records and author feedback to discourage undesi ....Continuous process improvement through workstation feedback for General Practice medicine using experts-in-the-loop data mining. This project investigates the iterative use of data mining results to allow experts to construct feedback to influence subsequent production work. We explore the problem in the context of General Practice medicine by having General Practitioners (GPs) review emerging patterns from their own practice's electronic medical records and author feedback to discourage undesirable patterns. The work will have immediate applicability to medical practice and will drive innovation in data mining method, notably for efficient identification of temporal and complex niche patterns. More broadly, the work will extend the way data mining is used to create new expectations of workstation behaviour.Read moreRead less
Deformable Surfaces Supporting 3D Tactile Human Computer Interactions. This project will support Research Priority 3: Frontier Technologies for Building and Transforming Australian Industries. The results will provide information that will further build our understanding of human computer interactions. Digital Foam supports Smart Information Use by providing a new interaction paradigm for existing and new creative applications for digital technologies. The new form of interaction provides a new ....Deformable Surfaces Supporting 3D Tactile Human Computer Interactions. This project will support Research Priority 3: Frontier Technologies for Building and Transforming Australian Industries. The results will provide information that will further build our understanding of human computer interactions. Digital Foam supports Smart Information Use by providing a new interaction paradigm for existing and new creative applications for digital technologies. The new form of interaction provides a new computer interaction product in itself and the ability to make a more efficient creative environment for designers of 3D content, multi-media and manufacturing design. This technology supports the ability of organisations to operate virtually and collaborate across large distances in Australia and internationally.Read moreRead less
Through Walls Collaboration to Support Command and Control Operations with Eyes and Ears in the Field. Australia is a geographically dispersed country with locations of high concentrations of technology resources. Australia requires the ability to gather real time intelligence information in the field to support planning and operational decisions by a command team for military and civil defence operations. Currently Australia supports such operations in remote areas of the country and numerous o ....Through Walls Collaboration to Support Command and Control Operations with Eyes and Ears in the Field. Australia is a geographically dispersed country with locations of high concentrations of technology resources. Australia requires the ability to gather real time intelligence information in the field to support planning and operational decisions by a command team for military and civil defence operations. Currently Australia supports such operations in remote areas of the country and numerous overseas operations. A major research outcome is the design and development of interaction techniques for the mobile users in through walls collaboration systems to control and manipulate augmented reality information in the field across a number of application domains, such as medical, maintenance, military, search and rescue, and GIS visualization.Read moreRead less
Advanced planning systems for vertically integrated supply chain management. This project will integrate various algorithms into an adaptive, dynamic and intelligent system that deals with the vertically integrated supply chains. The outcomes include publications in the quality outlets, generation of intellectual property, and dissemination of this research amongst the research and business communities.
Methodology for assessing the vulnerability of multimodal transport networks and developing remedial measures to safeguard network performance. When transport networks fail, the effects on people and the economy can be devastating. The consequences for Hobart of the 1975 Tasman Bridge collapse provide a prime example. Failure may also result from extreme weather and natural disasters, traffic congestion and incidents, commercial failure, human error, or malevolence (such as sabotage). This proje ....Methodology for assessing the vulnerability of multimodal transport networks and developing remedial measures to safeguard network performance. When transport networks fail, the effects on people and the economy can be devastating. The consequences for Hobart of the 1975 Tasman Bridge collapse provide a prime example. Failure may also result from extreme weather and natural disasters, traffic congestion and incidents, commercial failure, human error, or malevolence (such as sabotage). This project will develop a methodology for auditing a transport network to identify where infrastructure failure will have the worst consequences for movement of people and goods. The research will provide tools for planners to determine critical network locations, and devise strategies and remedial measures to safeguard network performance.Read moreRead less
The Next Step in Intelligent Decision-Support Systems (IDSS): Systems that Learn and Adapt. This project will benefit Australia's scientific knowledge and technology base in the areas of evolutionary computation, business intelligence, and decision management. The outcomes will advance Australian companies and organisations, as many common yet complex business problems can be better addressed with systems that automatically learn and adapt to environmental changes. Such complex business problems ....The Next Step in Intelligent Decision-Support Systems (IDSS): Systems that Learn and Adapt. This project will benefit Australia's scientific knowledge and technology base in the areas of evolutionary computation, business intelligence, and decision management. The outcomes will advance Australian companies and organisations, as many common yet complex business problems can be better addressed with systems that automatically learn and adapt to environmental changes. Such complex business problems include dynamic scheduling (in the manufacturing sector), resource allocation optimisation (in the defence, mining, and agriculture sectors), and network design optimisation (in the telecommunications and energy sectors).Read moreRead less
Improving the diagnosticity of eyewitness memory choices. Eyewitness identification error is common and costly. This project aims to improve the quality of information provided by eyewitnesses, and the ability of police officers and triers of fact (e.g., juries, judges) to evaluate this information. Laboratory investigations will determine how best to test memory and confidence to achieve this aim. A new class of cognitive models will provide a unified account of response accuracy, response time ....Improving the diagnosticity of eyewitness memory choices. Eyewitness identification error is common and costly. This project aims to improve the quality of information provided by eyewitnesses, and the ability of police officers and triers of fact (e.g., juries, judges) to evaluate this information. Laboratory investigations will determine how best to test memory and confidence to achieve this aim. A new class of cognitive models will provide a unified account of response accuracy, response time, and confidence, suitable for application to computerized testing scenarios. The models and testing methods validated in the laboratory will be refined for application in eyewitness memory settings, facilitating better evaluation of identification evidence, and potentially reducing wrongful convictions.Read moreRead less
Effective Recommendations based on Multi-Source Data. Large-scale data collected from multiple sources such as the Web, sensor networks, academic publications, and social networks provide a new opportunity to exploit useful information for effective and efficient recommendations and decision making. The project will propose a new framework of recommender systems that is based on analysing relationships between different types of objects from multiple data sources. A graph model will be built to ....Effective Recommendations based on Multi-Source Data. Large-scale data collected from multiple sources such as the Web, sensor networks, academic publications, and social networks provide a new opportunity to exploit useful information for effective and efficient recommendations and decision making. The project will propose a new framework of recommender systems that is based on analysing relationships between different types of objects from multiple data sources. A graph model will be built to represent the extracted semantic relationships and novel linkage-analysis based algorithms will be developed for ranking objects. The results from this project will underpin many critical applications such as healthcare.Read moreRead less
Learning and choosing in a complex world. How do people make choices in a complex world? Making good choices requires expertise, but people must often forego rewards in order to acquire this knowledge. This is the essence of an "explore-exploit dilemma": to maximise rewards across a long time frame, people must take the time to explore and learn now. Empirically, this project aims to unify much of the existing psychological literature and extend it to cover richer, more complex problems. Theoret ....Learning and choosing in a complex world. How do people make choices in a complex world? Making good choices requires expertise, but people must often forego rewards in order to acquire this knowledge. This is the essence of an "explore-exploit dilemma": to maximise rewards across a long time frame, people must take the time to explore and learn now. Empirically, this project aims to unify much of the existing psychological literature and extend it to cover richer, more complex problems. Theoretically, the project aims to use tools from machine learning to compare human decision making to optimal planning models.Read moreRead less
Statistical Methods of Model Fitting and Segmentation in Computer Vision. Electronic sensors such as cameras and lasers can provide a rich source of information about the position, shape, and motion of objects around us. However, to extract this information in a reliable, automatic, and accurate way requires a sophisticated statistical theory of the process. Example applications include: video surveillance (better automatic detection of moving people and vehicles and of characterising what those ....Statistical Methods of Model Fitting and Segmentation in Computer Vision. Electronic sensors such as cameras and lasers can provide a rich source of information about the position, shape, and motion of objects around us. However, to extract this information in a reliable, automatic, and accurate way requires a sophisticated statistical theory of the process. Example applications include: video surveillance (better automatic detection of moving people and vehicles and of characterising what those people and vehicles are doing), industrial prototyping and inspection (measuring the size and shape of objects), urban planning (laser scanning streetscapes to create computer models of cities), entertainment industry (movie special effects and games), etc. Read moreRead less