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
Data Exchange and Service Integration with Applications in Health Information Systems. This project will research and develop an innovative new approach to facilitate real data exchange and service integration across different medical organisations. This approach will significantly improve the quality of health care by providing a solid foundation for integrated medical services, offering on demand and effective access to fragmentally stored patients medical information and minimise the number o ....Data Exchange and Service Integration with Applications in Health Information Systems. This project will research and develop an innovative new approach to facilitate real data exchange and service integration across different medical organisations. This approach will significantly improve the quality of health care by providing a solid foundation for integrated medical services, offering on demand and effective access to fragmentally stored patients medical information and minimise the number of data entry errors injected into the medical information systems. The novel integration model will also enable a new autonomous approach for demographic data collection which is essential for evidenced resource allocation, policy making and disease prevention.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
Extending association rule discovery to numeric data. This project tackles a key limitation of association-rule discovery, which is one of the main techniques used in data mining. Much valuable data is numeric. However, association-rule discovery cannot satisfactorily model numeric data, a limitation that has greatly restricted its application. This project investigates a novel new technique that overcomes this limitation. Impact-rule discovery finds associations with numeric distributions. ....Extending association rule discovery to numeric data. This project tackles a key limitation of association-rule discovery, which is one of the main techniques used in data mining. Much valuable data is numeric. However, association-rule discovery cannot satisfactorily model numeric data, a limitation that has greatly restricted its application. This project investigates a novel new technique that overcomes this limitation. Impact-rule discovery finds associations with numeric distributions. This allows data analysts to discover precisely the type of information that they usually seek from numeric data, for example, how to maximize either average or aggregate measures of outcomes such as health, compliance, profit, or accuracy.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
Defence Against Phishing Attacks. Australian businesses and citizens are losing millions of dollars in cybercrimes every year. Rural and regional businesses depend on the integrity of their Internet banking service, and yet, cybercriminals are working hard to defraud these users. This project aims to build a reliable defence against phishing attacks which rely on social engineering to steal online identities, using intelligence gathered from the brazen trade of credentials in the public domain.
Geospatial Information Processing for Quickbird Satellite Imagery. Of the new generation of commercial high-resolution earth observation satellites, the Quickbird system with its 70cm resolution has greatest potential for metric applications. The capabilities of Quickbird imagery for digital mapping, GIS and geopositioning are, however, yet to be fully established and the models, procedures and computational systems required for higher-accuracy applications require further research. The aim of t ....Geospatial Information Processing for Quickbird Satellite Imagery. Of the new generation of commercial high-resolution earth observation satellites, the Quickbird system with its 70cm resolution has greatest potential for metric applications. The capabilities of Quickbird imagery for digital mapping, GIS and geopositioning are, however, yet to be fully established and the models, procedures and computational systems required for higher-accuracy applications require further research. The aim of this project, which is a collaboration with SKM, is to develop the tools necessary to validate Quickbird imagery as a source for geospatial information collection, to develop the associated data processing systems to proof-of-concept stage and to experimentally verify these systems.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