Boosting up Productivity: Optimizing Scaffolding Life Cycle Management with Virtual Design and Construction. Scaffolding management can be critical to construction industries across oil and gas, building, and infrastructure sectors. It can lead to low productivity and safety due to static and poor planning. This project aims to innovatively integrate a decision support system, virtual design and construction, and onsite monitoring into one dynamic planning system to significantly lift productivi ....Boosting up Productivity: Optimizing Scaffolding Life Cycle Management with Virtual Design and Construction. Scaffolding management can be critical to construction industries across oil and gas, building, and infrastructure sectors. It can lead to low productivity and safety due to static and poor planning. This project aims to innovatively integrate a decision support system, virtual design and construction, and onsite monitoring into one dynamic planning system to significantly lift productivity. The emphasis is on producing optimal solutions for planning, design, erection, monitoring, dismantling, and relocation of scaffolding, so that productivity is maximised subject to satisfying required cost and safety constraints. The project aims to therefore secure long-term economic benefits by improving productivity and enhancing project performance.Read moreRead less
'Fixed points': extending and deepening our understanding of mathematical and computational aspects of game theory. This work will extend and deepen our understanding of mathematical and computational aspects of game theory. It will produce computer code embodying new methods of solving systems of nonlinear equations, which is useful in many areas of applied research in economics, in other disciplines such as chemistry, and potentially in the analysis of business operations. The project will a ....'Fixed points': extending and deepening our understanding of mathematical and computational aspects of game theory. This work will extend and deepen our understanding of mathematical and computational aspects of game theory. It will produce computer code embodying new methods of solving systems of nonlinear equations, which is useful in many areas of applied research in economics, in other disciplines such as chemistry, and potentially in the analysis of business operations. The project will also deepen our understanding of the underlying mathematics of such systems, and of other mathematical foundations of economic research. One application will be a new measure of the relative power resulting from voting rules. Such measures assist the design of democratic institutions by allowing the designer to assess the fairness of the outcomes they produce.Read moreRead less
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.
Tractable topological computing: Escaping the hardness trap. Computational topology is a young and energetic field that uses computers to solve complex geometric problems driven by pure mathematics, and with diverse applications in biology, signal processing and data mining. A major barrier is that many of these problems are thought to be fundamentally and intractably hard. This project aims to defy such barriers for typical real-world inputs by fusing geometric techniques with technologies from ....Tractable topological computing: Escaping the hardness trap. Computational topology is a young and energetic field that uses computers to solve complex geometric problems driven by pure mathematics, and with diverse applications in biology, signal processing and data mining. A major barrier is that many of these problems are thought to be fundamentally and intractably hard. This project aims to defy such barriers for typical real-world inputs by fusing geometric techniques with technologies from the field of parameterised complexity, creating powerful, practical solutions for these problems. It is expected to shed much-needed light on the vast and puzzling gap between theory and practice, and give researchers fast new software tools for large-scale experimentation and cutting-edge computer proofs.Read moreRead less
Modelling of Nitric Oxides and Carbon Monoxide Emissions from Bagasse-Fires Boilers. The project aims to develop computational models to predict emissions of nitric oxides and carbon monoxide from sugar-mill boilers burning bagasse. Bagasse combustion does not contribute to greenhouse gas emissions and clean and efficient combustion of this fuel has become very important for the sugar industry and for Australia. The project combines the opportunity of direct boiler measurements by SRI with the m ....Modelling of Nitric Oxides and Carbon Monoxide Emissions from Bagasse-Fires Boilers. The project aims to develop computational models to predict emissions of nitric oxides and carbon monoxide from sugar-mill boilers burning bagasse. Bagasse combustion does not contribute to greenhouse gas emissions and clean and efficient combustion of this fuel has become very important for the sugar industry and for Australia. The project combines the opportunity of direct boiler measurements by SRI with the modelling expertise at the University to develop combustion-kinetics models for these species. The models will be incorporated into the previously developed computational fluid dynamics - combustion code of the furnace to give the capability of emission prediction as a function of burner operating conditions and fuel parameters.Read moreRead less
Approximate proximity for applications in data mining and visualization. Data Mining, pattern recognition and visualization of relational information are all important data analysis techniques in which it is essential to determine which data points are in the vicinity of others. The huge size of the data sets involved and the need for real-time interaction preclude the use of conventional methods for the precise computation of the proximity information required. This project will develop efficie ....Approximate proximity for applications in data mining and visualization. Data Mining, pattern recognition and visualization of relational information are all important data analysis techniques in which it is essential to determine which data points are in the vicinity of others. The huge size of the data sets involved and the need for real-time interaction preclude the use of conventional methods for the precise computation of the proximity information required. This project will develop efficient algorithms and data structures for gathering high-quality approximations of the full proximity information, and will use these innovations as the basis for new, practical tools for visualization, and clustering in data mining.Read moreRead less
Heisenberg-limited lasers: building the revolution. The project aims to design and build a revolutionary new type of laser based on the ground-breaking 2020 Nature Physics paper by the two Chief Investigators. The significance of this work is that it overturns 60 years of theory about the limits to laser coherence, by applying 21st century quantum theory and quantum technology to the problem. This project expects to greatly advance the theory and, by instigating a collaboration with world-leadin ....Heisenberg-limited lasers: building the revolution. The project aims to design and build a revolutionary new type of laser based on the ground-breaking 2020 Nature Physics paper by the two Chief Investigators. The significance of this work is that it overturns 60 years of theory about the limits to laser coherence, by applying 21st century quantum theory and quantum technology to the problem. This project expects to greatly advance the theory and, by instigating a collaboration with world-leading experimentalists working with superconducting quantum devices, to demonstrate a laser with coherence beyond what was thought possible. Benefits of the project should flow from the manifold applications for highly coherent radiation, including scaling up superconducting quantum computing.Read moreRead less
Concept learning and Structure Formation for Document Navigation. This proposal is motivated by its interest in document retrieval and
discovery using formal concept analysis. The hypothesis to be tested
is that logical structures can be automatically inferred from
a document collection using information inference and
concept learning.
The mathematics of novel magnetic memory materials. Magnetic memories are the world’s principal device for storing information. The next generation will have greatly increased access speed and data-storage capacity. This project will develop the mathematical theory of these new magnetic memory materials, a crucial first step in understanding and being able to fine-tune their properties.
Algorithmic engineering and complexity analysis of protocols for consensus. Opinions, rankings, observations, votes, gene sequences, sensor-networks in security systems or climate models. Massive datasets and the ability to share information at unprecedented speeds, makes finding the most central representative, the Consensus Problem, extremely complex. This research delivers new insights and new, efficient algorithms.