Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100030
Funder
Australian Research Council
Funding Amount
$270,000.00
Summary
Test-bed for Wide-Area Software Defined Networking Research. Test bed for wide-area software defined networking research: This project aims to develop a wide-area test bed, spanning ten organisations, for conducting research and experimentation in the emerging disruptive technology of Software Defined Networking (SDN). SDN is likely to bring long-term transformation to the networking industry, much like cloud computing did, by enabling dynamic virtualised elastic network services under software ....Test-bed for Wide-Area Software Defined Networking Research. Test bed for wide-area software defined networking research: This project aims to develop a wide-area test bed, spanning ten organisations, for conducting research and experimentation in the emerging disruptive technology of Software Defined Networking (SDN). SDN is likely to bring long-term transformation to the networking industry, much like cloud computing did, by enabling dynamic virtualised elastic network services under software control. The test bed will empower Australian researchers in network technologies and dependent applications (for example, multimedia and security) to collaboratively develop and demonstrate novel ideas at scale. This is expected to benefit Australia by giving our researchers international recognition in this nascent area, and developing a national talent pool for local industry.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100155
Funder
Australian Research Council
Funding Amount
$648,000.00
Summary
NanoMin; Quantitative Mineral Mapping of Nanoscale Processes. NanoMin: quantitative mineral mapping of nanoscale processes:
The project seeks to establish an electron microscope-based mineral mapping and analysis facility to provide rapid, quantitative and statistically reliable mineralogical, petrographic and metallurgical data unobtainable by other means in fine-grained materials. The proposed equipment can identify minerals in complex mixtures of sub-µm-grain size materials by virtue of an i ....NanoMin; Quantitative Mineral Mapping of Nanoscale Processes. NanoMin: quantitative mineral mapping of nanoscale processes:
The project seeks to establish an electron microscope-based mineral mapping and analysis facility to provide rapid, quantitative and statistically reliable mineralogical, petrographic and metallurgical data unobtainable by other means in fine-grained materials. The proposed equipment can identify minerals in complex mixtures of sub-µm-grain size materials by virtue of an integrated software and hardware system called NanoMin which incorporates a spectral deconvolution engine combined with a mineral spectra database. A key limitation in understanding complex materials is sub-micron to nanometer scale spatial variability of mineralogical phases. Imaging and quantifying these phases is now possible with the NanoMin system. This promises to open up petrological, geobiological, and materials science research in complex fine-grained materials.Read moreRead less
ARC Centre for Nanostructured Electromaterials. Electromaterials transport electrons or ions and facilitate charge transfer, underpinning most energy capture/storage processes and cell communication. We propose a national Centre to develop nanostructured electromaterials with exceptional properties. The Centre aims to synthesise novel nanomaterials and assemble them into innovative nanoscale devices. We will exploit these materials to enhance performance in energy conversion/storage systems (eg. ....ARC Centre for Nanostructured Electromaterials. Electromaterials transport electrons or ions and facilitate charge transfer, underpinning most energy capture/storage processes and cell communication. We propose a national Centre to develop nanostructured electromaterials with exceptional properties. The Centre aims to synthesise novel nanomaterials and assemble them into innovative nanoscale devices. We will exploit these materials to enhance performance in energy conversion/storage systems (eg. photovoltaics, batteries, including wearable systems), and novel energy transfer in bioapplications (eg. Bionic Ear). These advances, together with the resource of trained personnel, will assist Australian industry to exploit this exciting area.Read moreRead less
Added depth: automated high level image interpretation. Humans are very good at understanding the world through imagery, but computers lack this fundamental capacity because they lack experience of what they might see. This project will provide this experience by combining the large volumes of imagery on the Internet with three dimensional information generated by humans for other purposes.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE180100158
Funder
Australian Research Council
Funding Amount
$348,026.00
Summary
A large-scale distributed experimental facility for the internet of things. This project aims to establish a large-scale, real-world experimental facility for the Internet of Things (IoT), which is currently missing in Australia, as well as in the rest of the world. The project is expected to be an essential instrument to achieve Australia’s leadership on key enabling technologies of the IoT, and to provide Australian research community with a unique platform for large-scale experimentation and ....A large-scale distributed experimental facility for the internet of things. This project aims to establish a large-scale, real-world experimental facility for the Internet of Things (IoT), which is currently missing in Australia, as well as in the rest of the world. The project is expected to be an essential instrument to achieve Australia’s leadership on key enabling technologies of the IoT, and to provide Australian research community with a unique platform for large-scale experimentation and evaluation of IoT technologies and services. The project will also serve as a vehicle for the education and training of Australia’s next generation of scholars and engineers, and contribute to Australia’s scientific visibility.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100040
Funder
Australian Research Council
Funding Amount
$450,000.00
Summary
Integrated Greenhouse Gas Measurement System (IGMS) for monitoring agricultural emissions at field to regional scales. Measurement of greenhouse gases is critical to Australia’s obligations to reduce carbon emissions. The measurement facility will provide urgently needed accurate emission data from Australian agriculture to establish emission baselines and develop methods to extend the point-scale measurements to whole farm, regional and national scales.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100156
Funder
Australian Research Council
Funding Amount
$210,000.00
Summary
Computational infrastructure for machine learning in computer vision. The many trillions of images stored on computers around the world, including more than 100 billion on Facebook alone, represent exactly the information needed to develop artificial vision. All we need do is extract it. This project will develop the computational infrastructure required to allow Australian researchers to achieve this goal.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100090
Funder
Australian Research Council
Funding Amount
$250,000.00
Summary
Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object ....Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object recognition in images, speech recognition and automatic translation, bringing the prospect of machine intelligence closer than ever. Modern machine learning techniques have had huge impact in the last decade in fields such as robotics, computer vision and data analytics. The facility would enable Australian researchers to develop, learn and apply deep networks to problems of national importance in robotic vision and big data analytics. Read moreRead less
Unified framework of intestinal motility. The project aims to establish how a few fundamental mechanisms determine the large repertoire of intestinal motor patterns responsible for moving nutrients along the digestive tract. The project will combine experimental and theoretical data, with biomechanical and electrophysiological models to create a new understanding of this essential function of the body.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100131
Funder
Australian Research Council
Funding Amount
$645,000.00
Summary
The AustLit resource: supporting research in studies of Australian literary and narrative cultures. AustLit traces the history of Australia’s engagement with the art of story by creating an innovative web-based environment where all aspects of literary history can be explored, analysed and shared. The 2013 program will broaden AustLit’s information base in areas ranging from contemporary multi-lingual publishing to publishing in the colonial era.