Context and Activity Recognition for Personalised Behaviour Recommendation. The Internet of Things (IoT) together with the rising popularity of smartphones opens a new world for many exciting opportunities. The overall goal of this project is to develop new algorithms and data analytical techniques in an IoT environment that can accurately monitor and analyse personalised daily activities on a continuous, real-time basis. The expected result of this project will support many critical application ....Context and Activity Recognition for Personalised Behaviour Recommendation. The Internet of Things (IoT) together with the rising popularity of smartphones opens a new world for many exciting opportunities. The overall goal of this project is to develop new algorithms and data analytical techniques in an IoT environment that can accurately monitor and analyse personalised daily activities on a continuous, real-time basis. The expected result of this project will support many critical applications such as better wellness tracking and lifestyle-related illness prevention, which will be particularly critical to Australia's aging population. This project will also serve as a vehicle to educate and train Australia’s young scholars and engineers.Read moreRead less
Robust Preference Inference from Spatial-Temporal Interaction Networks. This project aims to develop innovative techniques for effectively and efficiently managing user preference profiles from less labelled, sparse and noisy interaction data. A unified novel learning framework along with a set of data analysis techniques are expected to be developed from this project, which will provide a non-intrusive way of conducting predictive analysis on user preference profiling via discovering human expl ....Robust Preference Inference from Spatial-Temporal Interaction Networks. This project aims to develop innovative techniques for effectively and efficiently managing user preference profiles from less labelled, sparse and noisy interaction data. A unified novel learning framework along with a set of data analysis techniques are expected to be developed from this project, which will provide a non-intrusive way of conducting predictive analysis on user preference profiling via discovering human explicit and implicit interest domains. The expected results of this application will not only maintain Australia's leadership in this frontier research area, but also support many important applications that safeguard Australian people and economy such as cyber security, healthcare, and e-Commerce.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
Industrial Transformation Training Centres - Grant ID: IC190100033
Funder
Australian Research Council
Funding Amount
$3,852,568.00
Summary
ARC Training Centre for Transformation of Australia's Biosolids Resource. This Centre aims to bring together Australia’s leading biosolids researchers and key industry and government stakeholders to advance the management, transformation and reuse of biosolids in agriculture. The focus is: 1) capability and knowledge building, 2) research development, extension and training, 3) sustainable strategic partnerships. The expected outcomes of the Centre are to develop a group of new, highly-trained i ....ARC Training Centre for Transformation of Australia's Biosolids Resource. This Centre aims to bring together Australia’s leading biosolids researchers and key industry and government stakeholders to advance the management, transformation and reuse of biosolids in agriculture. The focus is: 1) capability and knowledge building, 2) research development, extension and training, 3) sustainable strategic partnerships. The expected outcomes of the Centre are to develop a group of new, highly-trained industry-ready researchers as well as advanced solutions in three major themes: improved technologies, enhanced products and sustainability. This will provide significant benefits in the economic value of new applications and market opportunities as well as deliver cost-savings – all in an environmentally friendly manner.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC190100031
Funder
Australian Research Council
Funding Amount
$3,973,202.00
Summary
ARC Training Centre in Data Analytics for Resources and Environments (DARE). Understanding the cumulative impact of actions regarding the use of our resources has important long-term consequences for Australia’s economic, societal and environmental health. Yet despite the importance of these cumulative impacts, and the availability of data, many decisions and policies are based on limited amounts of data and rudimentary data analysis, with little appreciation of the critical role that understand ....ARC Training Centre in Data Analytics for Resources and Environments (DARE). Understanding the cumulative impact of actions regarding the use of our resources has important long-term consequences for Australia’s economic, societal and environmental health. Yet despite the importance of these cumulative impacts, and the availability of data, many decisions and policies are based on limited amounts of data and rudimentary data analysis, with little appreciation of the critical role that understanding and quantifying uncertainty plays in the process. The aim of Data Analytics in Resources and Environment (DARE) is to develop and deliver the data science skills and tools for Australia’s resource industries to make the best possible evidence-based decisions in exploiting and stewarding the nation’s natural resources.Read moreRead less
Economically efficient green logistics through cyber physical systems. Economically efficient green logistics through cyber physical systems. This project aims to realize green logistics by researching how to run diesel-powered heavy-duty milk trucks economically and efficiently on liquefied natural gas (LNG) and demonstrating to logistics companies that LNG conversion will reduce operating costs and emissions. Transportation systems account for 18% of Australia's carbon emissions, and diesel-po ....Economically efficient green logistics through cyber physical systems. Economically efficient green logistics through cyber physical systems. This project aims to realize green logistics by researching how to run diesel-powered heavy-duty milk trucks economically and efficiently on liquefied natural gas (LNG) and demonstrating to logistics companies that LNG conversion will reduce operating costs and emissions. Transportation systems account for 18% of Australia's carbon emissions, and diesel-powered logistics vehicles are a major contributor. However, converting these trucks to LNG requires strong evidence to convince logistics companies of the benefits of shifting to green logistics. An increase in logistics productivity is expected to increase Australia’s gross domestic product by $2 billion, while this research should also provide vital data on sustainability issues and LNG conversions.Read moreRead less
Rethinking housing: network analysis for digital collaboration. This project aims to understand persistent housing sector supply problems through analysis of digital collaborative practices. This project expects to generate new knowledge for an emerging housing digital economy using interdisciplinary network theory and data visualisation techniques. The housing sector has long been criticised for shortcomings in affordability, efficiency, quality, social and environmental responsiveness and appr ....Rethinking housing: network analysis for digital collaboration. This project aims to understand persistent housing sector supply problems through analysis of digital collaborative practices. This project expects to generate new knowledge for an emerging housing digital economy using interdisciplinary network theory and data visualisation techniques. The housing sector has long been criticised for shortcomings in affordability, efficiency, quality, social and environmental responsiveness and appropriateness of offerings. Expected outcomes include enhanced housing supply professionals' capability, improved knowledge among public/private sector decision makers responsible for housing supply and development of new digital collaborative behavioural theoretical and practical frameworks for the sector.Read moreRead less
Seismic analysis of cracking and deformations in concrete gravity dams. This project aims to establish a rational predictive capability for the responses of concrete gravity dams subject to extreme design earthquakes. This will include the development of innovative numerical methods for effective modelling of crack propagation and closure, large slips on crack faces and weak interfaces, dam-reservoir interaction, dam-foundation interaction and automatic mesh generation. The expected outcomes of ....Seismic analysis of cracking and deformations in concrete gravity dams. This project aims to establish a rational predictive capability for the responses of concrete gravity dams subject to extreme design earthquakes. This will include the development of innovative numerical methods for effective modelling of crack propagation and closure, large slips on crack faces and weak interfaces, dam-reservoir interaction, dam-foundation interaction and automatic mesh generation. The expected outcomes of the project will be a significantly improved prediction tool. It is also anticipated that the project will result in improvements in dam and public safety, and more efficient use of funds for dam safety upgrades and management.Read moreRead less
Clothes, fibres and filters that reduce pollution by micro and nano debris. This project aims to provide scientifically verified methods to avoid, intercept and redesign products that cause the most abundant type of marine plastic pollution – clothing fibres - which has increased by over 450% in 60 years. It will determine how natural and plastic fibres, clothing brands and washing machine filters, alter fibre emissions and ecological impacts. This will enable protocols to improve products and t ....Clothes, fibres and filters that reduce pollution by micro and nano debris. This project aims to provide scientifically verified methods to avoid, intercept and redesign products that cause the most abundant type of marine plastic pollution – clothing fibres - which has increased by over 450% in 60 years. It will determine how natural and plastic fibres, clothing brands and washing machine filters, alter fibre emissions and ecological impacts. This will enable protocols to improve products and the environment, and reduce health risks that will benefit the public, government regulation and companies in designing "eco-friendly" products.Read moreRead less
Movement ecology of flying-foxes. This project aims to understand flying-fox movement ecology from individual navigation through to population redistribution. Understanding movement across spatiotemporal scales is a goal of movement research. Grey-headed flying-foxes are mobile, and advances in tracking technology make them ideal for studying movement across scales. This project will determine how flying foxes navigate, and integrate this with drivers of their movement to understand their moveme ....Movement ecology of flying-foxes. This project aims to understand flying-fox movement ecology from individual navigation through to population redistribution. Understanding movement across spatiotemporal scales is a goal of movement research. Grey-headed flying-foxes are mobile, and advances in tracking technology make them ideal for studying movement across scales. This project will determine how flying foxes navigate, and integrate this with drivers of their movement to understand their movement ecology by using methods that integrate experimental manipulation with telemetry, Doppler radar and analytical techniques. This is expected to develop much-needed management strategies that incorporate an understanding of movement.Read moreRead less