Condition-based maintenance optimisation for Australian sugar industry. The aim of this project is to develop innovative methodologies for the implementation of condition-based maintenance in the sugar milling industry. This is designed to optimise the allocation of limited maintenance resources and to significantly reduce the $350 million spent on maintenance in the industry each year. New methodologies will account for the seasonality of production and the complexity of allocating limited main ....Condition-based maintenance optimisation for Australian sugar industry. The aim of this project is to develop innovative methodologies for the implementation of condition-based maintenance in the sugar milling industry. This is designed to optimise the allocation of limited maintenance resources and to significantly reduce the $350 million spent on maintenance in the industry each year. New methodologies will account for the seasonality of production and the complexity of allocating limited maintenance resources across numerous equipment items and different production sites. The intended outcome of the project will improve the efficiency of maintenance and hence the global competitiveness of the Australian sugar industry.Read moreRead less
Large Markov decision processes and combinatorial optimisation. Markov decision processes continue to gain in popularity for modelling a wide range of applications ranging from analysis of supply chains and queueing networks to cognitive science and control of autonomous vehicles. Nonetheless, they tend to become numerically intractable as the size of the model grows fast. Recent works use machine learning techniques to overcome this crucial issue, but with no convergence guarantee. This project ....Large Markov decision processes and combinatorial optimisation. Markov decision processes continue to gain in popularity for modelling a wide range of applications ranging from analysis of supply chains and queueing networks to cognitive science and control of autonomous vehicles. Nonetheless, they tend to become numerically intractable as the size of the model grows fast. Recent works use machine learning techniques to overcome this crucial issue, but with no convergence guarantee. This project aims to provide theoretically sound frameworks for solving large Markov decision processes, and exploit them to solve important combinatorial optimisation problems. This timely project can promote Australia's position in the development of such novel frameworks for many scientific and industrial applications.Read moreRead less
Maintenance Optimisation in Rail Infrastructure Systems for Coal and
Iron Ore Exports. Coal and iron ore exports, worth around 55 per cent of Australia's export earnings, critically depend on the transport capacity provided by Australia's rail infrastructure. Maintenance plays a crucial role in ensuring that infrastructure components are in a condition to provide safe, reliable, and efficient transport. However maintenance activities also reduce the system capacity, and are costly. It is thus c ....Maintenance Optimisation in Rail Infrastructure Systems for Coal and
Iron Ore Exports. Coal and iron ore exports, worth around 55 per cent of Australia's export earnings, critically depend on the transport capacity provided by Australia's rail infrastructure. Maintenance plays a crucial role in ensuring that infrastructure components are in a condition to provide safe, reliable, and efficient transport. However maintenance activities also reduce the system capacity, and are costly. It is thus critical to sustaining the growth and competitiveness of Australia's coal and iron ore exports that maintenance is optimised so as to maximise system efficiency and delivered capacity. The project aims to achieve this by the development of new decision support technologies embedding innovative decision-making models and algorithms.Read moreRead less
Pathways to agri-food supply chains that co-benefit people and nature. This project aims to improve biodiversity outcomes of agricultural food production and consumption, and expects to generate new knowledge about impacts of interventions and shocks on the environment, human health and livelihoods in agri-food systems. This will be achieved using an interdisciplinary approach that accounts for uncertainties in links between farmers, suppliers, consumers and supply-chain outcomes. The expected o ....Pathways to agri-food supply chains that co-benefit people and nature. This project aims to improve biodiversity outcomes of agricultural food production and consumption, and expects to generate new knowledge about impacts of interventions and shocks on the environment, human health and livelihoods in agri-food systems. This will be achieved using an interdisciplinary approach that accounts for uncertainties in links between farmers, suppliers, consumers and supply-chain outcomes. The expected outcome is a value of information framework for identifying nature-friendly policies and actions with co-benefits for human well-being. Benefits include sustainability pathways with win-win outcomes for people and nature, and improved ways of meeting international commitments such as Sustainable Development Goals.Read moreRead less
ARC Centre of Excellence for Mathematical and Statistical Frontiers of Big Data, Big Models, New Insights. In today's world, massive amounts of data in a variety of forms are collected daily from a multitude of sources. Many of the resulting data sets have the potential to make vital contributions to society, business and government, as well as impact on international developments, but are so large or complex that they are difficult to process and analyse using traditional tools. The aim of this ....ARC Centre of Excellence for Mathematical and Statistical Frontiers of Big Data, Big Models, New Insights. In today's world, massive amounts of data in a variety of forms are collected daily from a multitude of sources. Many of the resulting data sets have the potential to make vital contributions to society, business and government, as well as impact on international developments, but are so large or complex that they are difficult to process and analyse using traditional tools. The aim of this Centre is to create innovative mathematical and statistical models that can uncover the knowledge concealed within the size and complexity of these big data sets, with a focus on using the models to deliver insight into problems vital to the Centre's Collaborative Domains: Healthy People, Sustainable Environments and Prosperous Societies.Read moreRead less
Individualising Care For Patients With Chronic Hepatitis C: Predicting Side Effects And Treatment Response Using Genomic And Proteomic Approaches.
Funder
National Health and Medical Research Council
Funding Amount
$55,575.00
Summary
Patients undergoing treatment for hepatitis C must endure a treatment characterized by unpredictable treatment side effects and uncertainty about the likelihood of cure. This project will investigate genetic predictors of treatment related side-effects and protein markers to predict treatment response. Better definition of the risks and benefits of therapy, may facilitate patients and clinicians to make more informed decisions about treatment, thus individualising treatment and potentially impro ....Patients undergoing treatment for hepatitis C must endure a treatment characterized by unpredictable treatment side effects and uncertainty about the likelihood of cure. This project will investigate genetic predictors of treatment related side-effects and protein markers to predict treatment response. Better definition of the risks and benefits of therapy, may facilitate patients and clinicians to make more informed decisions about treatment, thus individualising treatment and potentially improving the safety and efficacy of therapy.Read moreRead less
Enhancing natural convection heat transfer using a single horizontal non-metallic fin. This project will develop the basis for a simple design to improve the energy efficiency of natural convection heat exchangers. Heat exchangers are widely adopted in many electronic devices and industrial processes as they require no external power input, additional space, and are quiet, reliable and economical. The research will exploit the interaction between two flows to trigger turbulence, and will result ....Enhancing natural convection heat transfer using a single horizontal non-metallic fin. This project will develop the basis for a simple design to improve the energy efficiency of natural convection heat exchangers. Heat exchangers are widely adopted in many electronic devices and industrial processes as they require no external power input, additional space, and are quiet, reliable and economical. The research will exploit the interaction between two flows to trigger turbulence, and will result in an increase of the overall capacity and performance of engineering systems. This will contribute significantly to reductions in power consumption and improvements in productivity and work environment, leading ultimately to reductions in greenhouse gas emissions and to economic benefits.Read moreRead less
Design tools for optimising data centre layout to minimise energy usage. Data centres are major consumers of energy worldwide, mainly through the need to cool the equipment. It has become imperative to develop the science for reducing this consumption. Rising computing demand, increasing power density, and increasing infrastructure and energy costs are major issue for data centres around the world. Our research will provide a powerful alternative to conventional thermal management techniques for ....Design tools for optimising data centre layout to minimise energy usage. Data centres are major consumers of energy worldwide, mainly through the need to cool the equipment. It has become imperative to develop the science for reducing this consumption. Rising computing demand, increasing power density, and increasing infrastructure and energy costs are major issue for data centres around the world. Our research will provide a powerful alternative to conventional thermal management techniques for cooling high-density heat loads in mixed-density environments. We will address the key issue of energy minimisation through a detailed flow analyses by the use of numerical simulations and optimisation algorithms.Read moreRead less
Special Research Initiatives - Grant ID: SR0354735
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
Australian Network on Microelectronics, Optoelectronics and Microelectromechanical Systems. The Network will encompass semiconductor microelectronics, optoelectronics, sensors and microelectromechanical systems (MEMS). Fundamental research in these areas enables the technological advances that underpin rapidly developing industries such as information and telecommunications technologies, defence, aerospace, medicine, and remote sensing. Exciting challenges exist in designing new devices that exp ....Australian Network on Microelectronics, Optoelectronics and Microelectromechanical Systems. The Network will encompass semiconductor microelectronics, optoelectronics, sensors and microelectromechanical systems (MEMS). Fundamental research in these areas enables the technological advances that underpin rapidly developing industries such as information and telecommunications technologies, defence, aerospace, medicine, and remote sensing. Exciting challenges exist in designing new devices that exploit unique semiconductor systems and technologies. By sharing capabilities and resources (both capital and human), the network will enable the issues associated with such novel materials and devices to be addressed in a targeted manner. The network will also guarantee the ongoing future of research in the area by actively involving early career researchers and postgraduate students.Read moreRead less
ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing. Sensor networks, a collection of diverse sensors interconnected via an ad-hoc communication network, are identified as one of the key technologies that over the next two decades will change the way we live. This research network brings together an interdisciplinary team of outstanding Australian researchers representing all the key disciplines required to successfully deploy sensor networks and links this te ....ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing. Sensor networks, a collection of diverse sensors interconnected via an ad-hoc communication network, are identified as one of the key technologies that over the next two decades will change the way we live. This research network brings together an interdisciplinary team of outstanding Australian researchers representing all the key disciplines required to successfully deploy sensor networks and links this team with the foremost international authorities and leading industry players in the area of sensor networks. This research network will guide collaborative research that will ensure Australia to play a world leading role in sensor network development and implementation.
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