The Characterisation of Fires in Tunnels. A series of 22 fires ranging from 2 megawatt up to 20 megawatt intensity will be set under controlled conditions in unused tunnel facilities, in New South Wales. Instrumentation in the tunnel, donated by the State Rail Authority of New South Wales, will monitor the movement of particulates (smoke). This information is vital to tunnel design, and for passenger life safety. This information will be applicable to all tunnels worldwide.
Development of a Compartment Fire Behaviour Training (CFBT) Database. In recent years, incidents of fire flashover have caused considerable destruction to property and the loss of life. Fire prediction and understanding is an area of significance to both the Australian public and the firefighting profession. The NSW Fire Brigade has recently introduced Compartment Fire Behaviour Training (CFBT). To extend this scheme, a database of configurations will be developed using computational modelling, ....Development of a Compartment Fire Behaviour Training (CFBT) Database. In recent years, incidents of fire flashover have caused considerable destruction to property and the loss of life. Fire prediction and understanding is an area of significance to both the Australian public and the firefighting profession. The NSW Fire Brigade has recently introduced Compartment Fire Behaviour Training (CFBT). To extend this scheme, a database of configurations will be developed using computational modelling, allowing firefighters the ability to experience virtually different situations. Detailed experimental studies will be conducted to validate the numerical model. This database will have use and significance beyond Australia and successful implementation promises reductions in the loss of life and property.Read moreRead less
Experimental and numerical study of sprinklers for improved fire safety. Fire sprinklers are a common method for extinguishing fires. Current lack of detailed knowledge about sprinklers can lead to conservative design and excessive cost, often limiting the installation of these proven life-saving devices. This project sees the involvement of Arup Pty Ltd and the NSW Fire Brigade in examining the behaviour of sprinklers using a custom-designed test-rig, laser based measurement and a numerical mod ....Experimental and numerical study of sprinklers for improved fire safety. Fire sprinklers are a common method for extinguishing fires. Current lack of detailed knowledge about sprinklers can lead to conservative design and excessive cost, often limiting the installation of these proven life-saving devices. This project sees the involvement of Arup Pty Ltd and the NSW Fire Brigade in examining the behaviour of sprinklers using a custom-designed test-rig, laser based measurement and a numerical model. This will result in improved confidence in sprinkler specification and installation and the project will have use and significance beyond Australia. Successful implementation promises reductions in the loss of life and property as well as financial savings.Read moreRead less
Classification and Prediction Modelling for Financial Distress, Tax Debt and Insolvency for ATO Clients. The Australian Taxation Office (ATO) has clients who are not able to meet their taxation debts, resulting in revenue shortfalls for both the State and Federal Governments. Through this project, we will develop predictive models and techniques which identify client classes and clusters in the ATO client population and the defining attributes of these collections - especially those which are a ....Classification and Prediction Modelling for Financial Distress, Tax Debt and Insolvency for ATO Clients. The Australian Taxation Office (ATO) has clients who are not able to meet their taxation debts, resulting in revenue shortfalls for both the State and Federal Governments. Through this project, we will develop predictive models and techniques which identify client classes and clusters in the ATO client population and the defining attributes of these collections - especially those which are at high risk of incurring debt and defaulting on paying taxes. In turn, the early identification of clients in financial distress will allow the ATO to give them assistance so that they can reduce their debts and meet their financial obligations.Read moreRead less
Intelligent Decision Support for Neonatal Analysis and Trend Detection. Nearly five percent of newborn babies require intensive care after birth. Several electronic instruments monitor a baby's vital signs such as blood oxygen, blood pressure and heart rate. A major limitation in neonatal clinical management is that the physiological data generated by the monitors is not extracted to provide an integrated picture of the baby's condition or to enable detection of trends and patterns in clinical a ....Intelligent Decision Support for Neonatal Analysis and Trend Detection. Nearly five percent of newborn babies require intensive care after birth. Several electronic instruments monitor a baby's vital signs such as blood oxygen, blood pressure and heart rate. A major limitation in neonatal clinical management is that the physiological data generated by the monitors is not extracted to provide an integrated picture of the baby's condition or to enable detection of trends and patterns in clinical and real-time physiological data. This project will develop a methodology and technology that supports neonatal analysis incorporating a framework to mine data for trend detection, resulting in higher survival rates.Read moreRead less
Intelligent Design Advisor for Manufacturing Process Knowledge within Concurrent Engineering in the Aerospace Industry. At present the design of engineering components in the aerospace industry is accomplished by experts from design and manufacturing either sequentially or in collaboration. If performed in sequence then time and quality is jeopardised. If performed in collaboration then more manpower than is necessary is expended. The aim of this project is to develop an intelligent design advis ....Intelligent Design Advisor for Manufacturing Process Knowledge within Concurrent Engineering in the Aerospace Industry. At present the design of engineering components in the aerospace industry is accomplished by experts from design and manufacturing either sequentially or in collaboration. If performed in sequence then time and quality is jeopardised. If performed in collaboration then more manpower than is necessary is expended. The aim of this project is to develop an intelligent design advisor for Manufacturing Process Knowledge that will provide this expert knowledge to the design engineer in order to speed up the design process while reducing costs and still maintaining the high standard of quality necessary in the Aerospace industry.Read moreRead less
A safety-preserving ecosystem for autonomous driving. In this project, Macquarie University will collaborate with UTS and SilverQuest to develop an innovative safety-preserving ecosystem for autonomous driving. This system will not only be adopted by SilverQuest’s customers (automotive companies) to secure their latest autonomous driving models, but also be commercialised as a toolset that can be plugged into existing autonomous vehicles to detect and prevent malicious attacks on autonomous driv ....A safety-preserving ecosystem for autonomous driving. In this project, Macquarie University will collaborate with UTS and SilverQuest to develop an innovative safety-preserving ecosystem for autonomous driving. This system will not only be adopted by SilverQuest’s customers (automotive companies) to secure their latest autonomous driving models, but also be commercialised as a toolset that can be plugged into existing autonomous vehicles to detect and prevent malicious attacks on autonomous driving models. The project will lead to two innovations: in theory design an attack detection and prevention ecosystem for autonomous driving and in application implement a safety analysis toolset for industry-scale autonomous systems.Read moreRead less
High Frequency Data Stream Event Correlation for Complex Neonatal Medical Alerts. Nearly twenty percent of newborn babies require intensive care after birth. Several electronic instruments monitor a baby's vital signs such as blood oxygen, blood pressure and heart rate. A major limitation in neonatal clinical management is that the data generated by these monitors is not integrated to enable the alerting of condition deterioration or early warning of possible condition onset. This project will d ....High Frequency Data Stream Event Correlation for Complex Neonatal Medical Alerts. Nearly twenty percent of newborn babies require intensive care after birth. Several electronic instruments monitor a baby's vital signs such as blood oxygen, blood pressure and heart rate. A major limitation in neonatal clinical management is that the data generated by these monitors is not integrated to enable the alerting of condition deterioration or early warning of possible condition onset. This project will develop a methodology and technology that supports the cross correlation of neonatal clinical and physiological data for complex neonatal medical alerts, through the use of agents within an event stream processor, resulting in higher survival rates.Read moreRead less
Intelligent CRM through Conjoint Data Mining of Heterogeneous Sources. This project aims to investigate and develop techniques to improve customer relationship management (CRM) for public and private organisations. It aims to develop an intelligent framework to assist in adaptive marketing and management of customers. The framework is designed to manage multiple information resources for information sharing, and to synthesise knowledge through visualisation. Intended outcomes are standardised XM ....Intelligent CRM through Conjoint Data Mining of Heterogeneous Sources. This project aims to investigate and develop techniques to improve customer relationship management (CRM) for public and private organisations. It aims to develop an intelligent framework to assist in adaptive marketing and management of customers. The framework is designed to manage multiple information resources for information sharing, and to synthesise knowledge through visualisation. Intended outcomes are standardised XML profiles for the different data sets and business processes, novel techniques for conjoint mining of structured and semi-structured data, and adaptive business intelligence techniques. The results will be validated using large real-world data sets provided by the partner organisation.Read moreRead less
Development of computer-based decision support tools using population pharmacokinetic/pharmacodynamic models. Diabetes is an epidemic that presents an enormous burden to health systems of both developed and developing nations. Australia spends an estimated $35 billion on the condition annually, with costs set to rise with increasing diagnosis rates. Additionally, the burden of diabetes is more prominent in indigenous Australians. We intend to improve management of this disease in non-indigenous ....Development of computer-based decision support tools using population pharmacokinetic/pharmacodynamic models. Diabetes is an epidemic that presents an enormous burden to health systems of both developed and developing nations. Australia spends an estimated $35 billion on the condition annually, with costs set to rise with increasing diagnosis rates. Additionally, the burden of diabetes is more prominent in indigenous Australians. We intend to improve management of this disease in non-indigenous and indigenous Australians by development of a user-friendly computer-based decision support tool for doctors. Once established, this tool will have applications in other fields of health care where support is needed to make informed dosing decisions for critical medications and have the potential to reduce financial and social impacts of chronic disease.Read moreRead less