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.
Signal Processing for Reconfigurable Antennas – a Multidisciplinary Approach for Next Generation Wireless Communications. To satisfy the enormous demand for wireless applications with scarce radio spectrum, new technologies must be researched, developed, and then employed. Reconfigurable antennas, through morphing their physical structures with various switches, can adapt to the radio propagation environment, thereby increasing spectrum efficiency and power efficiency of wireless communications. ....Signal Processing for Reconfigurable Antennas – a Multidisciplinary Approach for Next Generation Wireless Communications. To satisfy the enormous demand for wireless applications with scarce radio spectrum, new technologies must be researched, developed, and then employed. Reconfigurable antennas, through morphing their physical structures with various switches, can adapt to the radio propagation environment, thereby increasing spectrum efficiency and power efficiency of wireless communications. This project aims to design signal processing algorithms for achieving all the benefits that reconfigurable antennas can provide for wireless communications. An important outcome of this research is sound channel models validated by extensive field measurement data.Read moreRead less
Special Research Initiatives - Grant ID: SR0354729
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
Smart Use of Information Technologies (SUITs). The SUITs network will develop critical mass in world-class, leading-edge research into the smart use of information and communication technology (ICT) through integration of research within the dispersed Australian ICT research community and through facilitating international linkages. The network will undertake research applicable in key sectors including the health, education, service, knowledge and media industries. The aim is to establish a h ....Smart Use of Information Technologies (SUITs). The SUITs network will develop critical mass in world-class, leading-edge research into the smart use of information and communication technology (ICT) through integration of research within the dispersed Australian ICT research community and through facilitating international linkages. The network will undertake research applicable in key sectors including the health, education, service, knowledge and media industries. The aim is to establish a higher order of coordination and collaboration in research into ICT applications.
The feasibility study proposed will engage key stakeholders, refine research goals and investigate linkage mechanisms to improve Australia's ICT research and its contribution to economic and social well-being.
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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
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE110100116
Funder
Australian Research Council
Funding Amount
$400,000.00
Summary
100 Gbit to 1 Terabit per second optical communication test bed facility. This facility will develop and demonstrate novel optical technologies that will underpin the generation and transmission of a higher-speed Ethernet at 100 Gb/s to 1Terabit/s, and will lead to better broadband and more energy efficient internet. At the foundation of this research will be a test bed with multiple signal sources at data rates above 50 Gbaud.
A theoretical framework for practical partial fingerprint identification. Fingerprints captured from a crime scene are often partial and poor quality which makes it difficult to identify the criminal suspects from large databases. This project will find mathematical models which can estimate the missing information located in the blank areas of a partial fingerprint and effectively identify it.
Supporting early science from the Murchison Widefield Array - a Square Kilometre Array (SKA) pathfinder telescope. The Murchison Widefield Array (MWA) is likely to be the first operational pathfinder for the $2.5 billion Square Kilometre Array (SKA) on one of the two candidate SKA sites - the Murchison Radioastronomy Observatory (MRO) in Western Australia. The MWA will therefore generate large volumes of scientific data before 2012, the expected date of the international decision that will dete ....Supporting early science from the Murchison Widefield Array - a Square Kilometre Array (SKA) pathfinder telescope. The Murchison Widefield Array (MWA) is likely to be the first operational pathfinder for the $2.5 billion Square Kilometre Array (SKA) on one of the two candidate SKA sites - the Murchison Radioastronomy Observatory (MRO) in Western Australia. The MWA will therefore generate large volumes of scientific data before 2012, the expected date of the international decision that will determine whether Australia or South Africa is to host the SKA. The early science results from the MWA will showcase the excellence of the Australian site for radio astronomy and play a significant strategic role in Australia's bid to attract the SKA, as an international mega-science project to Australia, with its benefits to Australian science, industry and society.Read moreRead less
Supporting early science from the Murchison Widefield Array - a Square Kilometre Array (SKA) pathfinder telescope. The Murchison Widefield Array (MWA) is likely to be the first operational pathfinder for the $2.5 billion Square Kilometre Array (SKA) on one of the two candidate SKA sites - the Murchison Radioastronomy Observatory (MRO) in Western Australia. The MWA will therefore generate large volumes of scientific data before 2012, the expected date of the international decision that will dete ....Supporting early science from the Murchison Widefield Array - a Square Kilometre Array (SKA) pathfinder telescope. The Murchison Widefield Array (MWA) is likely to be the first operational pathfinder for the $2.5 billion Square Kilometre Array (SKA) on one of the two candidate SKA sites - the Murchison Radioastronomy Observatory (MRO) in Western Australia. The MWA will therefore generate large volumes of scientific data before 2012, the expected date of the international decision that will determine whether Australia or South Africa is to host the SKA. The early science results from the MWA will showcase the excellence of the Australian site for radio astronomy and play a significant strategic role in Australia's bid to attract the SKA, as an international mega-science project to Australia, with its benefits to Australian science, industry and society.Read moreRead less
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.
Automation of species recognition and size measurement of fish from underwater stereo-video imagery. The project aims to develop algorithms to automate the processing of stereo-video images recorded to count and measure the size of fish. This will improve husbandry and monitoring for finfish aquaculture at reduced costs, create technology export for industry partners, and develop cost effective, non-destructive finfish sampling tools for marine agencies.