Artificial intelligent system for integrated wear debris analysis and vibration analysis in machine condition monitoring. Vibration and wear debris analyses are the two main condition monitoring techniques for machinery maintenance and fault diagnosis. However, they can diagnose less than 50% of faults. A series of experimental and theoretical studies on the correlation of the two techniques will be conducted. This project will integrate advanced technologies including 3D microscopy, neural netw ....Artificial intelligent system for integrated wear debris analysis and vibration analysis in machine condition monitoring. Vibration and wear debris analyses are the two main condition monitoring techniques for machinery maintenance and fault diagnosis. However, they can diagnose less than 50% of faults. A series of experimental and theoretical studies on the correlation of the two techniques will be conducted. This project will integrate advanced technologies including 3D microscopy, neural networks and expert systems to develop an artificial intelligent system based on the dependent and independent roles of the two condition monitoring techniques. Successful outcomes will result in an improved maintenance program and reduction in human involvement, and will provide significant economic benefit to engineering industries.Read moreRead less
A new theory for retinotectal map formation. How brains become wired up during development is a question of
importance to both biology and computing. In this project we adopt a
novel computational approach to understanding the development of
topographic maps, a wiring pattern that is ubiquitous in biological
nervous systems. This project will build capacity for research in
computational neuroscience in Australia. It may also lead to
technological benefits such as new ideas for the design o ....A new theory for retinotectal map formation. How brains become wired up during development is a question of
importance to both biology and computing. In this project we adopt a
novel computational approach to understanding the development of
topographic maps, a wiring pattern that is ubiquitous in biological
nervous systems. This project will build capacity for research in
computational neuroscience in Australia. It may also lead to
technological benefits such as new ideas for the design of self-wiring
computing devices, and new insights into
the causes of wiring defects both during normal development and
rewiring after injury.
Read moreRead less
Computational Modeling of RNA Control Networks. One of the most exciting new ideas for understanding the regulation of gene expression involves the contribution of intronic and other non-protein coding RNAs to regulatory networks within cells. This novel role for intronic RNA is currently making headlines within the molecular biology community but has not yet been modelled computationally. The network of genetic regulatory interactions forms a complex system which is amenable to computational ....Computational Modeling of RNA Control Networks. One of the most exciting new ideas for understanding the regulation of gene expression involves the contribution of intronic and other non-protein coding RNAs to regulatory networks within cells. This novel role for intronic RNA is currently making headlines within the molecular biology community but has not yet been modelled computationally. The network of genetic regulatory interactions forms a complex system which is amenable to computational analysis. This project aims to extend current models to incorporate intronic RNA feedback control, complementing parallel studies in vivo, and computationally testing ideas essential to the theoretical understanding of the basis of life.Read moreRead less
Artificial Intelligence Based Deterioration Model for Development of Bridge Network Maintenance Strategy. The proposed AI-based methodology in conjunction with a Bridge Management System can tailor-make bridge deterioration models for a given bridge authority. The models so produced will enable effective BMS implementation which generates missing inspection records of past years, establishes optimal MR&R strategies and then reliably forecasts future bridge condition ratings. The methodology will ....Artificial Intelligence Based Deterioration Model for Development of Bridge Network Maintenance Strategy. The proposed AI-based methodology in conjunction with a Bridge Management System can tailor-make bridge deterioration models for a given bridge authority. The models so produced will enable effective BMS implementation which generates missing inspection records of past years, establishes optimal MR&R strategies and then reliably forecasts future bridge condition ratings. The methodology will be verified using available bridge datasets of QDMR and GCCC. The methodology is applicable to other bridge authorities throughout Australia and internationally to maintain ageing bridge stock. Read moreRead less
Detecting and Understanding Dysfunctional Anomalies in Queensland Healthcare Databases. Healthcare systems are large complex organizations that are required to function effectively and efficiently. As the main healthcare provider of the state, Queensland Health faces significant challenges in managing the complexity of its operations. This project will use visualization and data mining techniques to support Queensland Health in effective utilisation of its information and communications technolo ....Detecting and Understanding Dysfunctional Anomalies in Queensland Healthcare Databases. Healthcare systems are large complex organizations that are required to function effectively and efficiently. As the main healthcare provider of the state, Queensland Health faces significant challenges in managing the complexity of its operations. This project will use visualization and data mining techniques to support Queensland Health in effective utilisation of its information and communications technology. Through the analysis, detection and prediction of anomalies in the system, the project will contribute to improvements in patient outcomes and efficiency of the Queensland healthcare system.Read moreRead less
Meshless, numerical modelling for polymer processing. The new modelling technology will significantly improve Australian polymer producers' competitiveness and their ability to respond to international market forces. The technology will lead to new opportunities for Australian companies that develop simulation software. Our consumers will benefit from improvements in the design of polymer products. Our researchers in rheology and computational mechanics will gain further opportunities to extend ....Meshless, numerical modelling for polymer processing. The new modelling technology will significantly improve Australian polymer producers' competitiveness and their ability to respond to international market forces. The technology will lead to new opportunities for Australian companies that develop simulation software. Our consumers will benefit from improvements in the design of polymer products. Our researchers in rheology and computational mechanics will gain further opportunities to extend the advances this project will make.Read moreRead less
An intelligent maintenance decision system for the water utility industry. The reliability and maintenance of pump stations is of paramount importance to the water utility industries. In Australia, the maintenance of assets for the water and wastewater industry amounts to $927m per annum. This research will develop an intelligent maintenance decision support system to reduce maintenance costs in pumping stations with increased reliability. The outcomes of the research will significantly improve ....An intelligent maintenance decision system for the water utility industry. The reliability and maintenance of pump stations is of paramount importance to the water utility industries. In Australia, the maintenance of assets for the water and wastewater industry amounts to $927m per annum. This research will develop an intelligent maintenance decision support system to reduce maintenance costs in pumping stations with increased reliability. The outcomes of the research will significantly improve the reliability and supply security of water systems to Queensland's rural and regional communities and industries. It will also advance the body of knowledge of the field of integrated asset management and enhance Australia's international standing in this field.Read moreRead less
ARC Centre for Complex Systems. The Australian Centre for Complex Systems brings together leading researchers from several disciplines and institutions to conduct research on questions fundamental to understanding and managing complex systems. Its core research program, based on the theme of computation in and by networks of agents, has two interwoven strands. The science strand addresses questions about emergent properties, natural computation, and nonlinear dynamics. The engineering strand add ....ARC Centre for Complex Systems. The Australian Centre for Complex Systems brings together leading researchers from several disciplines and institutions to conduct research on questions fundamental to understanding and managing complex systems. Its core research program, based on the theme of computation in and by networks of agents, has two interwoven strands. The science strand addresses questions about emergent properties, natural computation, and nonlinear dynamics. The engineering strand addresses issues about methodology, modelling toolkits, and management and control. Practical applications are advanced via collaborative projects that address key issues in biology, environment, and socio-economics.Read moreRead less
The genomic programming of complex organisms. The project will have far-reaching consequences in medicine, agriculture, biotechnology, engineering, information science and associated industries. It will provide a platform for the rationalization of genetic epidemiology and genetic improvement programs, the development of a wide range of new diagnostics and therapies, the development of new core technologies and practical approaches in genetics and genetic diversity, a framework for advanced gen ....The genomic programming of complex organisms. The project will have far-reaching consequences in medicine, agriculture, biotechnology, engineering, information science and associated industries. It will provide a platform for the rationalization of genetic epidemiology and genetic improvement programs, the development of a wide range of new diagnostics and therapies, the development of new core technologies and practical approaches in genetics and genetic diversity, a framework for advanced genetic engineering, the development of new principles and systems for information storage and transmission, and the design of artificial systems capable of self-referential assembly in other environments.Read moreRead less
On-line and Incremental EM-based Neural Networks: Application to Hospital Utlilization and Gene Expression Data. Artificial neural networks have been widely applied as universal classifiers in many fields, such as biomedicine. However, misunderstanding of fundamental statistical principles, which can cause misleading findings, has been frequently observed in the literature. This project aims to integrate statistical methodologies in neural networks to provide a unified approach to improve its ....On-line and Incremental EM-based Neural Networks: Application to Hospital Utlilization and Gene Expression Data. Artificial neural networks have been widely applied as universal classifiers in many fields, such as biomedicine. However, misunderstanding of fundamental statistical principles, which can cause misleading findings, has been frequently observed in the literature. This project aims to integrate statistical methodologies in neural networks to provide a unified approach to improve its applicability and efficiency in implementation. The system developed from this proposed cross-disciplinary research will be applied to hospital utilization data (hospital morbidity database, Western Australia) and gene expression data (DNA microarrays databases, Harvard University). This collaborative research will advance the international standard of Australian research communities.
Read moreRead less