Skeletome - A Curated Online Knowledge Base Integrating Clinical and Biological Information on Skeletal Dysplasias and Related Conditions. The skeletal dysplasia knowledge base will:
* establish Australia as a world-leader in skeletal dysplasia research;
* provide researchers with an extensible and comprehensive online knowledge-base related to skeletal dysplasias;
* enhance clinicians' understanding of the diagnosis, treatment and management of skeletal dysplasias;
* facilitate collaborativ ....Skeletome - A Curated Online Knowledge Base Integrating Clinical and Biological Information on Skeletal Dysplasias and Related Conditions. The skeletal dysplasia knowledge base will:
* establish Australia as a world-leader in skeletal dysplasia research;
* provide researchers with an extensible and comprehensive online knowledge-base related to skeletal dysplasias;
* enhance clinicians' understanding of the diagnosis, treatment and management of skeletal dysplasias;
* facilitate collaborative discussions by patients, clinicians and researchers around specific cases to improve training, management and diagnosis; and
* enhance Australia's research expertise in Semantic Web and social networking technologies.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0775747
Funder
Australian Research Council
Funding Amount
$160,000.00
Summary
Distributed Medical Image Analysis and Visualisation Engine (MedVis). Improved understanding of neurological processes is crucial to improving clinical outcomes for patients. MedVis will contribute in three ways: support development of new methods of interpretation and analysis of complex neurological studies, allowing current methods to be applied more efficiently, and enabling distributed simulations and visualisations in real-time from remote sites.
The leading-edge, grid-based, software and ....Distributed Medical Image Analysis and Visualisation Engine (MedVis). Improved understanding of neurological processes is crucial to improving clinical outcomes for patients. MedVis will contribute in three ways: support development of new methods of interpretation and analysis of complex neurological studies, allowing current methods to be applied more efficiently, and enabling distributed simulations and visualisations in real-time from remote sites.
The leading-edge, grid-based, software and computational techniques developed for the project will enable visualization, analysis and modelling of massive volumes of image and other visualisation data. This capability is important in medical research where large visualisation data volumes are being created and studied by experts remote from each other.
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Enhanced Automation of Close-Range Photogrammetry for Defence and National Security Applications. The project, which falls under the National Research Priority of safeguarding Australia, will be of significant national and community benefit. The research outcomes will advance close-range photogrammetry (CRP) technology, especially in the critical areas of defence and national security. It will lower the cost base of CRP and expand its commercial potential in new application domains, thus promoti ....Enhanced Automation of Close-Range Photogrammetry for Defence and National Security Applications. The project, which falls under the National Research Priority of safeguarding Australia, will be of significant national and community benefit. The research outcomes will advance close-range photogrammetry (CRP) technology, especially in the critical areas of defence and national security. It will lower the cost base of CRP and expand its commercial potential in new application domains, thus promoting business activity in the broader Australian spatial information industry. Also, community oriented benefits will be seen through the improved prospects for new public-good applications of CRP, ranging for example from cultural heritage recording through to homeland security and forensic measurement for crime scene analysis.Read moreRead less
Indexes Allowing Fast and Efficient Text Search. Since the arrival of search engines such as Google, it has become an expectation that we can find a few words in a very large amount of text very quickly. This is also true of biologists, who expect to be able to submit protein sequences for matching against a massive database and retrieve and answer in seconds. If successful, this project will invent fundamental software that will allow the discovery of words in text much more quickly, and using ....Indexes Allowing Fast and Efficient Text Search. Since the arrival of search engines such as Google, it has become an expectation that we can find a few words in a very large amount of text very quickly. This is also true of biologists, who expect to be able to submit protein sequences for matching against a massive database and retrieve and answer in seconds. If successful, this project will invent fundamental software that will allow the discovery of words in text much more quickly, and using less computing resources than current methods. The benefits of this technology to the searching public, scientists, and industry will be immediate as productivity will be improved and costs reduced.Read moreRead less
Computing with nearly-consistent data. This project will help programmers correctly use data that originates at various times and places, and spreads unevenly through a system. Computation will combine data that comes from different situations, and is not exactly consistent. Capability to develop high quality software on platforms with this feature will enhance the value of the Australian IT industry. As well, the industries which use the software benefit from correctly working with their data. ....Computing with nearly-consistent data. This project will help programmers correctly use data that originates at various times and places, and spreads unevenly through a system. Computation will combine data that comes from different situations, and is not exactly consistent. Capability to develop high quality software on platforms with this feature will enhance the value of the Australian IT industry. As well, the industries which use the software benefit from correctly working with their data. Sensor networks have data like this, and they play a vital role in environmental monitoring. Cloud computing platforms also have this type of data, and these allow smaller enterprises to grow smoothly, without needing large up-front investments in computing infrastructure.Read moreRead less
Taming media for the masses: Computational frameworks for intelligent digital media capture, management, and sharing. The core issues tackled in this project are learning, recognition and application of semantics in multimedia data and the context of its creation and use - a foundational issue in pattern recognition with many applications. The project is part of the Institute for Multi-sensor Processing and Content Analysis whose aim is to tackle technical issues in large scale pattern recogniti ....Taming media for the masses: Computational frameworks for intelligent digital media capture, management, and sharing. The core issues tackled in this project are learning, recognition and application of semantics in multimedia data and the context of its creation and use - a foundational issue in pattern recognition with many applications. The project is part of the Institute for Multi-sensor Processing and Content Analysis whose aim is to tackle technical issues in large scale pattern recognition. By developing scalable and robust techniques to extract information from large scale multi-modal data, the applications include large scale surveillance systems from multi-modal data (e.g. airport security, smart homes for the aged), context-aware devices, and the next generation of media creation and repurposing tools - a fast-growing sector of the economy.Read moreRead less
SeqSeeker: a search engine for large numbers of very long sequences. Large sets of very long sequences arise in many important domains. Well known examples are time series sequences in financial markets and meteorology and DNA and protein sequences in biology. This project will develop a search system, SeqSeeker, that can perform search on massive databases of such sequences. This will allow experts from many domains to get more value from their data and to investigate datasets which are cu ....SeqSeeker: a search engine for large numbers of very long sequences. Large sets of very long sequences arise in many important domains. Well known examples are time series sequences in financial markets and meteorology and DNA and protein sequences in biology. This project will develop a search system, SeqSeeker, that can perform search on massive databases of such sequences. This will allow experts from many domains to get more value from their data and to investigate datasets which are currently beyond the reach of today's technology.Read moreRead less
Exploiting Database Technologies for the Visualization and Analysis of Measured and Simulated Plant Structures in Bioinformatics. The project will contribute to both bioinformatics and database research at both the national and international levels, although this project is specifically focusing on plant architecture but it has great potential other fields such as solving computationally difficult problems of branching in nature such as DNA and crystal related research. The results of this resea ....Exploiting Database Technologies for the Visualization and Analysis of Measured and Simulated Plant Structures in Bioinformatics. The project will contribute to both bioinformatics and database research at both the national and international levels, although this project is specifically focusing on plant architecture but it has great potential other fields such as solving computationally difficult problems of branching in nature such as DNA and crystal related research. The results of this research can be applied to all kinds of plants such as rice, cotton, rose etc.Read moreRead less
Investigations into and development of an intelligent decision support system for general practitioners in home-based sleep disorder diagnosis. Sleep disorders cost the Australian health system an estimated $40 million per year. General practitioner's surgeries are not well equipped to deal with diagnosis and the majority of the referrals to specialists are unnecessary. This research will investigate and develop an intelligent decision support system to provide a cost effective solution to thi ....Investigations into and development of an intelligent decision support system for general practitioners in home-based sleep disorder diagnosis. Sleep disorders cost the Australian health system an estimated $40 million per year. General practitioner's surgeries are not well equipped to deal with diagnosis and the majority of the referrals to specialists are unnecessary. This research will investigate and develop an intelligent decision support system to provide a cost effective solution to this problem. The developed software application will enable sleep study to be carried out at home, enabling general practitioners to conduct a preliminary diagnosis. Benefits include a reduction in the costs incurred in travel, time off work and at hospital sleep care centres for people in remote areas.Read moreRead less
High-Accuracy Geopositioning from High-Resolution Satellite Imagery. The new technology of high-resolution satellite imaging (HRSI) is revolutionising geospatial information generation for digital mapping, GIS and remote sensing. This project will investigate the metric potential of HRSI and specifically high-accuracy 3D geopositioning. The research will address fundamental issues of imaging sensor orientation modelling, multi-image matching and terrain model extraction. New and refined algorith ....High-Accuracy Geopositioning from High-Resolution Satellite Imagery. The new technology of high-resolution satellite imaging (HRSI) is revolutionising geospatial information generation for digital mapping, GIS and remote sensing. This project will investigate the metric potential of HRSI and specifically high-accuracy 3D geopositioning. The research will address fundamental issues of imaging sensor orientation modelling, multi-image matching and terrain model extraction. New and refined algorithms and computational schemes will be formulated and implemented in software. These developments will then be evaluated through comprehensive experimental testing using Ikonos and Quickbird satellite imagery, with the expected project outcomes being new, experimentally validated computational models, which will advance geospatial information generation from HRSI.Read moreRead less