Centre Of Research Excellence On Sitting Time And Chronic Disease Prevention – Mechanisms, Measurement And Interventions
Funder
National Health and Medical Research Council
Funding Amount
$2,657,874.00
Summary
Australian research has identified serious health consequences arising from the 7 to 10 hours of daily sitting that most people do, especially in relation to ‘diseases of inactivity’ – type 2 diabetes, coronary heart disease and breast and colon cancer – that are an unwelcome burden on individuals, families and health systems. This new research examines the practical feasibility and the preventive-health benefits of changing children’s and adults’ sitting time in schools, workplaces and the home ....Australian research has identified serious health consequences arising from the 7 to 10 hours of daily sitting that most people do, especially in relation to ‘diseases of inactivity’ – type 2 diabetes, coronary heart disease and breast and colon cancer – that are an unwelcome burden on individuals, families and health systems. This new research examines the practical feasibility and the preventive-health benefits of changing children’s and adults’ sitting time in schools, workplaces and the home environment.Read moreRead less
Solve it or Ignore it? The Challenge of Alignment Distortion and Creating Next Generation Automatic Facial Expression Detection. The last two decades have seen an escalating interest in automating the coding of facial expressions. Despite this keen interest, the promise of computer vision systems to accurately code facial expressions in natural circumstances remains elusive. Our interdisciplinary team will research a new paradigm to account for facial alignment distortion directly rather than ai ....Solve it or Ignore it? The Challenge of Alignment Distortion and Creating Next Generation Automatic Facial Expression Detection. The last two decades have seen an escalating interest in automating the coding of facial expressions. Despite this keen interest, the promise of computer vision systems to accurately code facial expressions in natural circumstances remains elusive. Our interdisciplinary team will research a new paradigm to account for facial alignment distortion directly rather than aiming to achieve invariance to it. The project will also research new data agnostic feature compaction capabilities to enable scalable learning on the world’s largest and challenging expression dataset available to us through international collaboration. Tackling these two major open problems will make accurate coding of facial expressions in natural environments achievable.Read moreRead less
Developing key vision technology for automation of aquaculture factory. This project aims to investigate structural, coloured textural, and hyperspectral analysis approaches to achieve automated lobster molt-cycle staging and classification to the level required for commercial production. High labour cost, water contamination, and disease transmission are major barriers in Australian bay lobster aquaculture inhibiting its large scale production. Automation of the production process and reducing ....Developing key vision technology for automation of aquaculture factory. This project aims to investigate structural, coloured textural, and hyperspectral analysis approaches to achieve automated lobster molt-cycle staging and classification to the level required for commercial production. High labour cost, water contamination, and disease transmission are major barriers in Australian bay lobster aquaculture inhibiting its large scale production. Automation of the production process and reducing the human contact with animals are of high priority in the development of this Australian-led emerging industry. The project aims to develop technology to bring this world- first aquaculture factory to large scale production, and create new export opportunities for lobsters and production systems.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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Special Research Initiatives - Grant ID: SR0354604
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
ARC Network in Imaging Science and Technology. The ARC Network in Imaging Science and Technology is a field of research network covering the fundamental science and technological development of applied imaging systems. The network will encompass all aspects of the imaging sciences from image formation, through image processing and analysis, and on to image visualisation. In particular, the network will focus on a number of application areas that utilise these core technologies: medical imaging; ....ARC Network in Imaging Science and Technology. The ARC Network in Imaging Science and Technology is a field of research network covering the fundamental science and technological development of applied imaging systems. The network will encompass all aspects of the imaging sciences from image formation, through image processing and analysis, and on to image visualisation. In particular, the network will focus on a number of application areas that utilise these core technologies: medical imaging; surveillance and security; materials science and metallurgy; environmental monitoring; and consumer imaging. In this way, the network will provide an environment for creative inter-disciplinary research to the socio-economic benefit of Australia.Read moreRead less
Pro-Fluorescent Aryl Nitroxides: New Probes for Polymer Lifetime and Kinetics Research. Internal aryl rings present in novel probes developed for this project impart fluorescence which is efficiently and internally quenched by the presence of a paramagnetic nitroxide group. Scavenging of radicals by the nitroxide however "switches on" the fluorescence and this enables powerful new fluorescence-based detection levels for the technique of nitroxide free radical scavenging. Such sensitivity is a ....Pro-Fluorescent Aryl Nitroxides: New Probes for Polymer Lifetime and Kinetics Research. Internal aryl rings present in novel probes developed for this project impart fluorescence which is efficiently and internally quenched by the presence of a paramagnetic nitroxide group. Scavenging of radicals by the nitroxide however "switches on" the fluorescence and this enables powerful new fluorescence-based detection levels for the technique of nitroxide free radical scavenging. Such sensitivity is applicable to polymerization kinetics studies, as well as providing new means for the determination of materials lifetimes. The development of pro-fluorescent markers as indicators for polymer degradation would be a significant outcome for materials where component failure has a major negative impact.Read moreRead less
Interaction Mining for Cyberbullying Detection on Social Networks. This project plans to build an interactive mining system to detect cyberbullying on social networks that have a large number of participants and a variety of inputs, including conversation texts, time-variant changes and user profiles. The project is designed to change the existing cyberbullying prevention services from reactive keyword filtering to proactive social interaction pattern mining. The intended outcome will enable the ....Interaction Mining for Cyberbullying Detection on Social Networks. This project plans to build an interactive mining system to detect cyberbullying on social networks that have a large number of participants and a variety of inputs, including conversation texts, time-variant changes and user profiles. The project is designed to change the existing cyberbullying prevention services from reactive keyword filtering to proactive social interaction pattern mining. The intended outcome will enable the early detection and warning of cyberbullying and approach open a new way to discover interaction patterns with a large number of participants over evolving and complex social networks.Read moreRead less