ARC Centre for Perceptive & Intelligent Machines in Complex Environments. The Centre for Perceptive and Intelligent Machines in Complex Environments will perform fundamental research into and construct reliable large-scale systems of networked sensors, computational intelligence, mobile robots, and knowledge sources to support a large variety of critical human tasks, including surveillance/ security (eg. borders/airports/homes), health care support (eg. smart houses/ health condition monitoring, ....ARC Centre for Perceptive & Intelligent Machines in Complex Environments. The Centre for Perceptive and Intelligent Machines in Complex Environments will perform fundamental research into and construct reliable large-scale systems of networked sensors, computational intelligence, mobile robots, and knowledge sources to support a large variety of critical human tasks, including surveillance/ security (eg. borders/airports/homes), health care support (eg. smart houses/ health condition monitoring, semi autonomous wheelchairs), and civil disaster support (eg. fighting bushfires, looking for people in rubble) always keeping people in the loop so that strong human/ machine cooperative ventures can achieve what neither human or machines could accomplish independently.Read moreRead less
Practice-based Systematized Nomenclature of Medicine (SNOMED) concept learning for drug-disease precaution early detection and refinement. The outcome of the Systematized Nomenclature of Medicine (SNOMED) concept learning system will help mitigate the impact of Adverse Drug Events hence directly contribute to the National Research Priority promoting and maintaining good health. It will tailor SNOMED knowledge to different clinical settings and provide evidence-based preventative health care. Th ....Practice-based Systematized Nomenclature of Medicine (SNOMED) concept learning for drug-disease precaution early detection and refinement. The outcome of the Systematized Nomenclature of Medicine (SNOMED) concept learning system will help mitigate the impact of Adverse Drug Events hence directly contribute to the National Research Priority promoting and maintaining good health. It will tailor SNOMED knowledge to different clinical settings and provide evidence-based preventative health care. The enabling methodology from this project for building computerised cognitive learning systems will be a frontier technology to enhance smart information use in clinical decision support. It will also contribute to the development of knowledge-based systems. A network version of the developed system will assist doctors working in rural and remote areas with their clinical decision making and prescribing practice.Read moreRead less
Intelligent real time multi-site controller for conserving energy in remote areas and in the resource industry. This project researches the issues in achieving demand response for electricity usage in remote regions of Australia through the use of smart meters and web of things framework to provide ubiquitous monitoring and control of devices, intelligent control systems to dynamically change energy usage patterns and community-based social network architecture. This will lead to several benefit ....Intelligent real time multi-site controller for conserving energy in remote areas and in the resource industry. This project researches the issues in achieving demand response for electricity usage in remote regions of Australia through the use of smart meters and web of things framework to provide ubiquitous monitoring and control of devices, intelligent control systems to dynamically change energy usage patterns and community-based social network architecture. This will lead to several benefits, such as (a) the strengthening of Australian business competitiveness in these regions by reducing energy costs and increasing energy trading, (b) reduction in ecological impact through smarter utilisation of energy and shifting to renewable sources, (c) encourage local generation and distribution of electricity where communities can trade excess energy.Read moreRead less
ARC Research Network in Enterprise Information Infrastructure. EII targets consolidated research towards the comprehensive development & establishment of advanced information infrastructures. Its prime purpose is to provide a forum for intellectual exchange by diverse yet complementary research groups, to address the fundamental research problems faced by scientific & business communities when dealing with deployment of information technology to globally distributed, and data intensive environme ....ARC Research Network in Enterprise Information Infrastructure. EII targets consolidated research towards the comprehensive development & establishment of advanced information infrastructures. Its prime purpose is to provide a forum for intellectual exchange by diverse yet complementary research groups, to address the fundamental research problems faced by scientific & business communities when dealing with deployment of information technology to globally distributed, and data intensive environments. EII will address 3 tightly coupled research themes: Ability to interoperate across existing heterogenous platforms & applications; Efficient processing of very large data sets; Technology adoption & impact. Generic results will be applicable to e-science and large business information systems installations.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0883073
Funder
Australian Research Council
Funding Amount
$200,000.00
Summary
BigNet - A Distributed Wireless Sensor Network Testbed. The infrastructure developed will be of national /international significance, given the rapid emergence of wireless sensor networks. This integrated facility will allow Australia to be a world leading player in the research and technology development as well as the socially responsible deployment of sensor networks. The facility has the explicit aim to ensure that Australia is a technology leader rather than solely a technology user in sens ....BigNet - A Distributed Wireless Sensor Network Testbed. The infrastructure developed will be of national /international significance, given the rapid emergence of wireless sensor networks. This integrated facility will allow Australia to be a world leading player in the research and technology development as well as the socially responsible deployment of sensor networks. The facility has the explicit aim to ensure that Australia is a technology leader rather than solely a technology user in sensor networks. The test facility will mirror practical requirements for WSN implementation in the Great Barrier Reef and in timber plantation, which would offer substantial economic benefits to Australia.Read moreRead less
The Psychology of Misinformation—Towards A Theory-driven Understanding. The project aims to develop a psychological theory of misinformation effects. Misinformation influences people’s memory, reasoning and decision-making even after corrections – it thus poses a significant challenge for science and society. Through the combination of systematic experimentation with theory-driven computational modelling, the project will strive to concurrently consider individual-level cognition and the impact ....The Psychology of Misinformation—Towards A Theory-driven Understanding. The project aims to develop a psychological theory of misinformation effects. Misinformation influences people’s memory, reasoning and decision-making even after corrections – it thus poses a significant challenge for science and society. Through the combination of systematic experimentation with theory-driven computational modelling, the project will strive to concurrently consider individual-level cognition and the impact of sociocultural context. It is anticipated that this novel integrative approach will substantially expand our understanding of misinformation effects, and that this theoretical progress will result in the formulation of specific communication strategies to reduce the impact of misinformation on society.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC190100017
Funder
Australian Research Council
Funding Amount
$3,703,664.00
Summary
ARC Training Centre for Integrated Operations for Complex Resources. This Training Centre aims to increase value in mining through clever applications of ‘lean processing’ and train the next generation of scientists and engineers in advanced sensors and data analytics in complex resources; knowledge priorities for the mining industry. Sensor information will be linked to the resource’s in-place knowledge to enable data analytics of all embedded knowledge. Processing can then be tuned to resource ....ARC Training Centre for Integrated Operations for Complex Resources. This Training Centre aims to increase value in mining through clever applications of ‘lean processing’ and train the next generation of scientists and engineers in advanced sensors and data analytics in complex resources; knowledge priorities for the mining industry. Sensor information will be linked to the resource’s in-place knowledge to enable data analytics of all embedded knowledge. Processing can then be tuned to resource attributes, maximising value ‘on the fly’. Benefits will include increasing certainty on product quality and maximising throughput and recovery. Outcomes will include new tools to rapidly model geological and geometallurgical uncertainty with sensor inputs, to track the resource to product and enhance interpretation.Read moreRead less
A Behavioural Intervention For The Adoption & Maintenance Of Physical Activity In Type 2 Diabetes
Funder
National Health and Medical Research Council
Funding Amount
$334,955.00
Summary
For people with type 2 diabetes (T2DM) it is essential that blood glucose levels are managed well to reduce the risk of developing complications. Physical activity is essential for maintaining glucose levels because it helps make the muscles use glucose more effectively. In particular, being active through strength training not only improves blood glucose levels, but can be very effective for maintaining good physical functioning, which is known to be reduced by having T2DM. This study builds on ....For people with type 2 diabetes (T2DM) it is essential that blood glucose levels are managed well to reduce the risk of developing complications. Physical activity is essential for maintaining glucose levels because it helps make the muscles use glucose more effectively. In particular, being active through strength training not only improves blood glucose levels, but can be very effective for maintaining good physical functioning, which is known to be reduced by having T2DM. This study builds on our earlier research which demonstrated significantly improved blood glucose levels from a strength training program for older adults with T2DM. The strength training program is to be administered nationally in a research to practice trial (Lift for Life); however, the original research found that those who did not complete the program as it was intended (ie, poor adherence) did not show significant improvements in blood glucose levels. Furthermore, maintenance of strength training exercises after completion of the program was poor and resulted in return of blood glucose levels back to pre-starting levels. In people without diabetes, we have collected pilot data that shows that the use of behavioural strategies based on behavioural theories whereby each person's motivations and barriers are taken into consideration is more effective than the traditional one-treatment-fits-all approach. This study will evaluate the effectiveness of using behavioural strategies for improving adherence and maintenance to the Lift for Life strength training program (Enhanced L4L) for older adults with T2DM compared with the Standard L4L program. It will also follow-up participants 6 months later to determine the extent to which the changes in behaviour can be maintained. The study will provide information that will assist in the design, delivery and uptake of programs to improve treatment strategies in older adults with T2DM through the maintenance of healthier behaviours and lifestyles.Read moreRead less
The independent and combined effects of front-of-pack food labelling systems and health claims on consumers' food-related beliefs and behaviours. Recent developments in food labelling policy are changing the nature of the food environment. This project aims to allow the Australian government to capitalise on its investments in food labelling and health claims policies by investigating the independent and combined effects of front-of-pack labelling systems and health claims on adults' and childre ....The independent and combined effects of front-of-pack food labelling systems and health claims on consumers' food-related beliefs and behaviours. Recent developments in food labelling policy are changing the nature of the food environment. This project aims to allow the Australian government to capitalise on its investments in food labelling and health claims policies by investigating the independent and combined effects of front-of-pack labelling systems and health claims on adults' and children's food-related beliefs and behaviours. Three different forms of front-of-pack labelling systems and three types of health claims will be tested in varying combinations to identify the effects on different consumer segments, especially those of lower socioeconomic status. This approach aims to show how different forms of nutrition information are processed and traded-off during decision making.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230101058
Funder
Australian Research Council
Funding Amount
$437,254.00
Summary
Glass-box Deep Machine Perception for Trustworthy Artificial Intelligence. Explainability and Transparency are the key values for development and deployment of Artificial Intelligence (AI) in Australia’s AI Ethics Framework for industry and governments. This project aims to build new tools to make the central technology of AI - deep learning - transparent and explainable. Its expected outputs are novel theory-driven algorithms and unconventional foundational blocks for deep learning that will al ....Glass-box Deep Machine Perception for Trustworthy Artificial Intelligence. Explainability and Transparency are the key values for development and deployment of Artificial Intelligence (AI) in Australia’s AI Ethics Framework for industry and governments. This project aims to build new tools to make the central technology of AI - deep learning - transparent and explainable. Its expected outputs are novel theory-driven algorithms and unconventional foundational blocks for deep learning that will allow humans to clearly interpret the reasoning process of this technology, which is currently not possible. It is expected to significantly advance our knowledge in machine intelligence and perception. Due to their fundamental nature, the project outcomes are likely to benefit industry and scientific frontiers alike.Read moreRead less