Music Usage Metrics and the Future of the Australian Music Industry. This project aims to conduct a comprehensive and systematic examination of changing music consumption patterns in Australia in an era of digital downloads. Based on a comprehensive longitudinal dataset on music use in Australia provided by industry partners, the project plans to use innovative computational methods to develop and test evidence-based models for generating, sharing and distributing music revenues. It also plans t ....Music Usage Metrics and the Future of the Australian Music Industry. This project aims to conduct a comprehensive and systematic examination of changing music consumption patterns in Australia in an era of digital downloads. Based on a comprehensive longitudinal dataset on music use in Australia provided by industry partners, the project plans to use innovative computational methods to develop and test evidence-based models for generating, sharing and distributing music revenues. It also plans to examine the current and future uses of music usage data in decision-making processes in music organisations, as well as the potential consequences of such use for practitioners and industry stakeholders. The project aims to support the future growth of the Australian music industry.Read moreRead less
Bio-Acoustic Observatory: Engaging Birdwatchers to Monitor Biodiversity by Collaboratively Collecting and Analysing Big Audio Data. This project will research how to crowd-source the collection and analysis of environmental animal sounds (for example, birds, frogs). This will enable a bio-acoustic observatory which provides a scalable, objective and permanent record of the environment, something hitherto impossible. The project will investigate how to engage the community of birdwatchers to exte ....Bio-Acoustic Observatory: Engaging Birdwatchers to Monitor Biodiversity by Collaboratively Collecting and Analysing Big Audio Data. This project will research how to crowd-source the collection and analysis of environmental animal sounds (for example, birds, frogs). This will enable a bio-acoustic observatory which provides a scalable, objective and permanent record of the environment, something hitherto impossible. The project will investigate how to engage the community of birdwatchers to extend their pastime online with new kinds of interactive tools to enable collaborative analysis of big audio data, and new kinds of birding experiences. Outcomes will be: new approaches to physical/virtual engagement in human-computer interaction; new approaches to analysing big data; a new validated ecological monitoring technique and concepts for sustainable knowledge generation communities.Read moreRead less
Visual Analytics for Next Generation Sequencing. Next-generation sequencing technologies have brought a revolution in biology and healthcare, while taxing the ability of scientists and clinicians to identify and process relevant data, to make sense of it all and communicate it to others in a concise and meaningful way. This project aims to tackle this problem through fundamentally new approaches to data selection and visualisation at very large scale, actively encoding for insight into underlyin ....Visual Analytics for Next Generation Sequencing. Next-generation sequencing technologies have brought a revolution in biology and healthcare, while taxing the ability of scientists and clinicians to identify and process relevant data, to make sense of it all and communicate it to others in a concise and meaningful way. This project aims to tackle this problem through fundamentally new approaches to data selection and visualisation at very large scale, actively encoding for insight into underlying biological and biomedical processes, bringing sustainable discovery of new relationships and variations within the data. The project aims to support new approaches to medical diagnosis and treatment, and offer crucial lessons to address the broader challenge of understanding large, complex data sets.Read moreRead less
Taming the uncertainty in trajectory data. This project aims to develop effective and efficient methods to manage large scale uncertain trajectory data. It provides individuals, business, government and social groups the ability to explore significant uncertain trajectories and their patterns, for important usages in location based services, logistic, transportation and tourism.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100109
Funder
Australian Research Council
Funding Amount
$370,000.00
Summary
A facility for non-destructive quantification of coal structures, composition and percolation fluid flows in energy and environmental applications. The facility will advance our scientific understanding of 3D micro- and nanostructures of coal under various mechanical and chemical conditions. It will help develop process innovation and breakthrough technologies for energy and environmental applications. It will also enhance the research capabilities of the collaborating institutions.
Discovery Early Career Researcher Award - Grant ID: DE190100803
Funder
Australian Research Council
Funding Amount
$418,956.00
Summary
Single-enzyme membrane biofuel cells for wastewater and flue gas treatment. This project aims to mitigate energy and environmental problems by fusing the fields of membrane separation, biocatalysis and electrochemistry. The novel single-enzyme biofuel cells can generate electrical power from processes like wastewater micropollutant degradation and flue gas carbon dioxide conversion. However, the bottleneck is the lifetime of enzymes and the lack of efficient reactor design. This project expects ....Single-enzyme membrane biofuel cells for wastewater and flue gas treatment. This project aims to mitigate energy and environmental problems by fusing the fields of membrane separation, biocatalysis and electrochemistry. The novel single-enzyme biofuel cells can generate electrical power from processes like wastewater micropollutant degradation and flue gas carbon dioxide conversion. However, the bottleneck is the lifetime of enzymes and the lack of efficient reactor design. This project expects to overcome these challenges by developing metal-organic framework-based bioelectrode materials, and integrating them with separation membranes and single-enzyme fuel cells for energy generation. This project is expected to transform the current biocatalytic process for wastewater treatment and gas separation.Read moreRead less
Indexing Large Video Databases to Support Efficient Query Processing. This project aims to develop breakthrough database technology that leverages the advances in video data capturing, computer vision based object recognition, multimedia tagging, large scale database systems and parallel processing, to provide the capability of managing massive video data with enriched semantic information and enabling database-like flexible and efficient video information search. It is expected to establish a n ....Indexing Large Video Databases to Support Efficient Query Processing. This project aims to develop breakthrough database technology that leverages the advances in video data capturing, computer vision based object recognition, multimedia tagging, large scale database systems and parallel processing, to provide the capability of managing massive video data with enriched semantic information and enabling database-like flexible and efficient video information search. It is expected to establish a new data management and processing foundation for big video data analytics.Read moreRead less
The characterization of tiny Ribonucleic acids in animal epigenetics. Epigenetics, the inheritance of traits not encoded in deoxyribonucleic acid (DNA), is not well understood in animals. This project will investigate two classes of Ribonucleic acid (RNA) that may form part of an animal-specific epigenetic regulatory system. This study could revolutionize our understanding of animal genetics.
Putting metal organic frameworks to work at interfaces. This project aims to develop new strategies to better synthesize ultrathin Metal-organic framework (MOF) membranes by nanostructured and chemically functionalized substrates. MOF materials have enormous potential due to the extraordinary structural and chemical diversity of these crystalline microporous materials and their potential applications in gas storage, separation, catalysis and sensing. However, a major challenge is fabricating thi ....Putting metal organic frameworks to work at interfaces. This project aims to develop new strategies to better synthesize ultrathin Metal-organic framework (MOF) membranes by nanostructured and chemically functionalized substrates. MOF materials have enormous potential due to the extraordinary structural and chemical diversity of these crystalline microporous materials and their potential applications in gas storage, separation, catalysis and sensing. However, a major challenge is fabricating thin robust MOF films or patterns on porous, flexible, and nonporous substrates, quickly and easily in order to construct useful devices. The project will grow ultrathin layers of molecular sieving and electroactive MOFs to produce technology platforms for large scale device manufacturing.Read moreRead less
Algorithmic engineering and complexity analysis of protocols for consensus. Opinions, rankings, observations, votes, gene sequences, sensor-networks in security systems or climate models. Massive datasets and the ability to share information at unprecedented speeds, makes finding the most central representative, the Consensus Problem, extremely complex. This research delivers new insights and new, efficient algorithms.