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
Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning proc ....Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning procedures. The new framework will recognise different conditions of city assets in real-time to make decisions. Expected outcomes of this Project include integration and easy access of assets with unique digital identities to help city councils, governments, and navigation services for real-time asset monitoring.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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An automated 3D model-based object recognition system. A novel, practical 3D vision system is proposed as a platform for fundamental applied research in 3D data acquisition, object modelling and object recognition. The significance of the vision system lies in the advancement of knowledge in three key areas of computer vision, registration, recognition and error propagation. The result is a system capable of sensing, modelling and identifying arbitrarily shaped free-form objects in a scene, an a ....An automated 3D model-based object recognition system. A novel, practical 3D vision system is proposed as a platform for fundamental applied research in 3D data acquisition, object modelling and object recognition. The significance of the vision system lies in the advancement of knowledge in three key areas of computer vision, registration, recognition and error propagation. The result is a system capable of sensing, modelling and identifying arbitrarily shaped free-form objects in a scene, an attribute lacking in current systems. Such a system can provide substantial economic benefits to industrial procedures such as grasp planning and quality control.Read moreRead less
Designing for uncertainty in conservation auctions. Economic theory and case study evidence show that tenders or auctions are more efficient than grant mechanisms for encouraging landholders to produce environmental outcomes on private land. These studies have ignored the effects of uncertainty of both bidders and administrators about factors such as landholder participation and the level of environmental benefits that will be delivered. This project will test whether distributing environmental ....Designing for uncertainty in conservation auctions. Economic theory and case study evidence show that tenders or auctions are more efficient than grant mechanisms for encouraging landholders to produce environmental outcomes on private land. These studies have ignored the effects of uncertainty of both bidders and administrators about factors such as landholder participation and the level of environmental benefits that will be delivered. This project will test whether distributing environmental funds via tenders is still efficient when uncertainty about various important factors is considered. Results from this research are expected to inform the cost effective design of systems to pay landholders for the provision of environmental benefits even when there is high uncertainty.Read moreRead less
Redesigning Landcare policy to better coordinate across landholders. This project aims to study how landscape-sensitive economic incentives and social norms can be leveraged to enhance the short- and long-term effectiveness of conservation programs. It will yield new knowledge for innovative designs in conservation contracting that is urgently needed to address worsening environmental threats in Australia and worldwide. In collaboration with Nobel laureate Vernon Smith’s team, new methods and pr ....Redesigning Landcare policy to better coordinate across landholders. This project aims to study how landscape-sensitive economic incentives and social norms can be leveraged to enhance the short- and long-term effectiveness of conservation programs. It will yield new knowledge for innovative designs in conservation contracting that is urgently needed to address worsening environmental threats in Australia and worldwide. In collaboration with Nobel laureate Vernon Smith’s team, new methods and protocols will improve our ability to generate better data and better understand how social and incentive mechanisms can constructively interact to facilitate collaborative environmental action. Results will help make the achievement of environmental targets and the use of public funds more cost-effective. Read moreRead less
Single-atom catalysts for electrochemical carbon dioxide conversion. This project aims to develop a new synthetic technique for the fabrication of template-free and metal single-atoms embedded in doped carbon nano tubes. It will generate fundamental knowledge about multiple proton and electron transfer steps in carbon dioxide (CO2RR) using in-situ synchrotron characterisation techniques. Expected outcomes of the research include the development of new single-atom catalysts for production of the ....Single-atom catalysts for electrochemical carbon dioxide conversion. This project aims to develop a new synthetic technique for the fabrication of template-free and metal single-atoms embedded in doped carbon nano tubes. It will generate fundamental knowledge about multiple proton and electron transfer steps in carbon dioxide (CO2RR) using in-situ synchrotron characterisation techniques. Expected outcomes of the research include the development of new single-atom catalysts for production of the key feed-stock of CO for sustainable use in hydrocarbon fuels, providing significant benefits in the reduction of greenhouse emissions.Read moreRead less
Special Research Initiatives - Grant ID: SR0354575
Funder
Australian Research Council
Funding Amount
$30,000.00
Summary
Earth and Ocean Informatics and Technology Network (EON-ITnet). Sustainable resource exploration and mining onshore, as well as marine planning, exploration, and defence depend on effective cross-disciplinary investigation, sharing of expertise and technologies for integration and computational analysis of multidimensional data spaces. EON-ITNET will cross-fertilise the use of artificial intelligence, advanced computing and smart information sharing for management, analysis, visualisation and me ....Earth and Ocean Informatics and Technology Network (EON-ITnet). Sustainable resource exploration and mining onshore, as well as marine planning, exploration, and defence depend on effective cross-disciplinary investigation, sharing of expertise and technologies for integration and computational analysis of multidimensional data spaces. EON-ITNET will cross-fertilise the use of artificial intelligence, advanced computing and smart information sharing for management, analysis, visualisation and metadata modelling between these traditionally separate research groups, with the outcome of improving research efficiency and lowering costs. EON-ITNET will form an alliance with the Caltech-based GeoFramework, which is advancing a novel object-oriented data analysis environment, binding community software for Earth visualisation and simulation to 4D data bases.Read moreRead less
Monitoring intuitive expertise in the context of airport security screening. During airport security screening and processing, confusion and error are greatest when systems or contexts are unfamiliar. Poorly designed systems compromise the interactions of airport security personnel and decrease their ability to promptly and accurately respond to situations. This project aims to deliver a suite of automated methods to monitor security operator knowledge and engagement, to assess the real-time sec ....Monitoring intuitive expertise in the context of airport security screening. During airport security screening and processing, confusion and error are greatest when systems or contexts are unfamiliar. Poorly designed systems compromise the interactions of airport security personnel and decrease their ability to promptly and accurately respond to situations. This project aims to deliver a suite of automated methods to monitor security operator knowledge and engagement, to assess the real-time security screening context, and to detect unusual passenger behaviour at the screening check-point. This monitoring aims to provide new knowledge and techniques to enhance security operator performance, refine the screening process, improve passenger experience and, most critically, ensure safety at Australian airports.Read moreRead less