Generalizing Multi-level Decision Support Handling Multi-objectives, Multi-followers and Uncertainty for Critical Resource Planning. The proposed multi-level optimisation techniques and fuzzy multi-objective multi-follower multi-level decision support system can be used widely in government and industries of Australia to reduce decision blindness, improve decision effectiveness, and therefore has the potential to increase the competitiveness of organizations. Many organizations in Australia are ....Generalizing Multi-level Decision Support Handling Multi-objectives, Multi-followers and Uncertainty for Critical Resource Planning. The proposed multi-level optimisation techniques and fuzzy multi-objective multi-follower multi-level decision support system can be used widely in government and industries of Australia to reduce decision blindness, improve decision effectiveness, and therefore has the potential to increase the competitiveness of organizations. Many organizations in Australia are decentralized and have a hierarchical structure. The proposed techniques are extremely effective for such kinds of organizations in critical planning, management and policy making, including tourism resource planning, water resource management, financial planning, healthcare planning, land-use planning, production planning, transportation planning, and power market planning.Read moreRead less
Group Decision Support Systems for Fuzzy Multi-objective Decision Problems. Most real-world decisions in organisations are made by groups addressing multi-objectives. Further, the decision objectives are frequently characterized by fuzzy parameters and decision makers often utilise fuzzy judgments in attempting to reach optimal solutions. The project is the first to address all these issues: fuzzy objectives, fuzzy judgements, multi-objectives and groups in decision-making. The project will deve ....Group Decision Support Systems for Fuzzy Multi-objective Decision Problems. Most real-world decisions in organisations are made by groups addressing multi-objectives. Further, the decision objectives are frequently characterized by fuzzy parameters and decision makers often utilise fuzzy judgments in attempting to reach optimal solutions. The project is the first to address all these issues: fuzzy objectives, fuzzy judgements, multi-objectives and groups in decision-making. The project will develop a set of interactive decision-making methods to be used by groups solving fuzzy multi-objective decision problems with the allowance of fuzzy judgements, then develop a group decision support system to implement the methods. These outcomes can be immediately used by suitable Australian organisations.Read moreRead less
Introducing computer-based documentation to Residential Aged Care: a multi-method evaluation of success. Improvements to quality and use of evidence-based methods in residential aged-care are restricted due to the very slow adoption of electronic information systems. This research will provide key investors, government, aged care providers and IT vendors, with tools to measure success in introducing IT into this sector. The project will create a platform with the national peak body, to dissemina ....Introducing computer-based documentation to Residential Aged Care: a multi-method evaluation of success. Improvements to quality and use of evidence-based methods in residential aged-care are restricted due to the very slow adoption of electronic information systems. This research will provide key investors, government, aged care providers and IT vendors, with tools to measure success in introducing IT into this sector. The project will create a platform with the national peak body, to disseminate lessons in successful implementation of computerised systems in residential aged-care, based on studies in two states. The studies will also benefit the international community researching technology adoption, by extending its boundary condition to a novel setting.Read moreRead less
A PDA (Personal Digital Assistant) based Point of Care (POC) e-Health Solution for Ambulatory Care Services. The proposed PDA based POC system will provide for collection, delivery and exchange of timely information at point of care. The advantage of such a system will be its high mobility and flexibility matching complex healthcare workflow requirements. Through a prototype development for Ambulatory Care Services generic reusable and scalable components will be designed. The prototype will pr ....A PDA (Personal Digital Assistant) based Point of Care (POC) e-Health Solution for Ambulatory Care Services. The proposed PDA based POC system will provide for collection, delivery and exchange of timely information at point of care. The advantage of such a system will be its high mobility and flexibility matching complex healthcare workflow requirements. Through a prototype development for Ambulatory Care Services generic reusable and scalable components will be designed. The prototype will provide an immediate solution to the problem of improving workflow and work processes within Ambulatory Care services and delivery more efficient healthcare. The development of reusable and scalable components will mean that Ambulatory Care Services will have an application that is technology independent and thus allow new technologies to be "plugged in" as they become available and other mobile healthcare community workers will be able to utilize the components for applications of PDAs at POC.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
Positive Computing: The design of technologies that support psychological wellbeing. Designing future technology to foster psychological wellbeing has the potential to affect population-wide positive change. The design of software like apps or social media, can impact things like cyber-bullying, depression, or even foster resilience. This project aims to connect experts across multiple disciplines (psychology, technology and policy) to develop pioneering methods, knowledge, and strategies that w ....Positive Computing: The design of technologies that support psychological wellbeing. Designing future technology to foster psychological wellbeing has the potential to affect population-wide positive change. The design of software like apps or social media, can impact things like cyber-bullying, depression, or even foster resilience. This project aims to connect experts across multiple disciplines (psychology, technology and policy) to develop pioneering methods, knowledge, and strategies that will allow future technologies to play an active role in improving health, performance, and quality of life for all Australians, through research-based design for wellbeing. In doing so, Australia will lead the way on the technological front in a growing global initiative to improve the wellbeing of nations.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC200100022
Funder
Australian Research Council
Funding Amount
$4,883,406.00
Summary
ARC Training Centre for Information Resilience. The proposed centre aims at building workforce capacity in Australian organisations to create, protect and sustain agile data pipelines, capable of detecting and responding to failures and risks across the information value chain in which the data is sourced, shared, transformed, analysed and consumed. Building on strong foundations of responsible data science, the centre will bring together end-users, technology providers, and cutting-edge researc ....ARC Training Centre for Information Resilience. The proposed centre aims at building workforce capacity in Australian organisations to create, protect and sustain agile data pipelines, capable of detecting and responding to failures and risks across the information value chain in which the data is sourced, shared, transformed, analysed and consumed. Building on strong foundations of responsible data science, the centre will bring together end-users, technology providers, and cutting-edge research, to lift the socio-technical barriers to data driven transformation and develop resilient data pipelines capable of delivering game-changing productivity gains that position Australian organisations at the forefront of technology leadership and value creation from data assets. 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
Non-intrusive human activity sensing with radio signals. This project aims to develop a theoretical framework for sensing and detecting human activities based on wireless radio signals. The framework advances the state-of-the-art by discovering the fundamental theory, and defining a set of principles to guide practical system design. The framework will be validated and its scientific merit demonstrated through building several applications such as contactless human activity detection and vital s ....Non-intrusive human activity sensing with radio signals. This project aims to develop a theoretical framework for sensing and detecting human activities based on wireless radio signals. The framework advances the state-of-the-art by discovering the fundamental theory, and defining a set of principles to guide practical system design. The framework will be validated and its scientific merit demonstrated through building several applications such as contactless human activity detection and vital signs monitoring. This should benefit existing hospital and clinical patient services and promote home-care and self-care services at nationwide.Read moreRead less
Productivity and work-life balance in technology-enabled virtual work environments. This project examines the impact of technology-enabled virtual work environments on the productivity and work-life balance of professional knowledge workers. Guidelines will be developed that improve organisational and individual outcomes for professional knowledge workers who use technology extensively in their interactions with others.