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Scheme : Linkage Projects
Field of Research : Pattern Recognition
Research Topic : storage
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  • Funded Activity

    Linkage Projects - Grant ID: LP0562640

    Funder
    Australian Research Council
    Funding Amount
    $240,000.00
    Summary
    An Integrated Proteomic and Bioinformatic Approach for Classifying Raw and Cooked Fish. Truth in labelling of foodstuffs is an international concern. In Australia, one of the most vulnerable industries is fishing. The fishing industry and the CSIRO have pioneered standardized fish names, but to date there is no rapid test that can provide answers that are better than 'yes' or 'no' to those who seek to enforce health and consumer regulations or provide provenance data to an industry valued at .... An Integrated Proteomic and Bioinformatic Approach for Classifying Raw and Cooked Fish. Truth in labelling of foodstuffs is an international concern. In Australia, one of the most vulnerable industries is fishing. The fishing industry and the CSIRO have pioneered standardized fish names, but to date there is no rapid test that can provide answers that are better than 'yes' or 'no' to those who seek to enforce health and consumer regulations or provide provenance data to an industry valued at $2.3Billion. This project will develop a robust testing method based on an integrated proteomic and bioinformatics system that will ensure truth in labelling of raw and cooked fish samples for the benefit of Australia's fishing industry.
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    Funded Activity

    Linkage Projects - Grant ID: LP0991757

    Funder
    Australian Research Council
    Funding Amount
    $240,000.00
    Summary
    Generic Content-based News Picture Retrieval with Local Invariant Features. Image Retrieval searches for images from large databases whose visual content meets the requirements submitted by users. Besides directly benefiting the Partner Organization, this project will enable more efficient access to large picture repositories in news agencies and publishers, digital libraries and film archives. It will make public use of visual information much more convenient and economical. It will help securi .... Generic Content-based News Picture Retrieval with Local Invariant Features. Image Retrieval searches for images from large databases whose visual content meets the requirements submitted by users. Besides directly benefiting the Partner Organization, this project will enable more efficient access to large picture repositories in news agencies and publishers, digital libraries and film archives. It will make public use of visual information much more convenient and economical. It will help security officers to effortlessly and accurately find particular scenes from the images generated by a large closed-circuit TV networks. Also, the developed technology can be applied to tele-education and e-commerce. New algorithms developed in this project will benefit the Australian and world scientific communities.
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    Funded Activity

    Linkage Projects - Grant ID: LP0669645

    Funder
    Australian Research Council
    Funding Amount
    $253,000.00
    Summary
    Intelligent archiving and retrieving of clinic laboratory records in pathology/radiology informatics study. Pathology/radiology Informatics has emerged as an arm for developing next-generation pathology/radiology reporting methods, databases, imagery, and diagnostics. Current report archiving systems are very primitive, restricting any sophisticated use of the reports. This proposal aims to develop an innovative pathology/radiology report archiving system capable of automatically extracting usef .... Intelligent archiving and retrieving of clinic laboratory records in pathology/radiology informatics study. Pathology/radiology Informatics has emerged as an arm for developing next-generation pathology/radiology reporting methods, databases, imagery, and diagnostics. Current report archiving systems are very primitive, restricting any sophisticated use of the reports. This proposal aims to develop an innovative pathology/radiology report archiving system capable of automatically extracting useful information from reports. This system will make a smart use of pathology/radiology data and open a new way to extend current tests and examinations from being disease-focussed to being wellness focussed. It will also significantly reduce the number of tests, i.e., associated cost for healthcare.
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    Funded Activity

    Linkage Projects - Grant ID: LP0455165

    Funder
    Australian Research Council
    Funding Amount
    $456,632.00
    Summary
    Intelligent archiving and retrieving of clinic laboratory records in pathology/radiology informatics study. Since 80% of the critical decisions made in medicine involve a pathology test or radiology examination, Pathology/radiology Informatics has emerged as an arm for developing next-generation pathology/radiology reporting methods, databases, imagery, and diagnostics. Current archiving systems are very primitive, restricting any sophisticated use of the reports. This proposal aims to collabora .... Intelligent archiving and retrieving of clinic laboratory records in pathology/radiology informatics study. Since 80% of the critical decisions made in medicine involve a pathology test or radiology examination, Pathology/radiology Informatics has emerged as an arm for developing next-generation pathology/radiology reporting methods, databases, imagery, and diagnostics. Current archiving systems are very primitive, restricting any sophisticated use of the reports. This proposal aims to collaborate with Lossless Data Compression Pty Ltd in developing an innovative pathology/radiology report archiving system capable of automatically extracting useful information. This system will make a smart use of pathology/radiology data and open a new way to extend current tests and examinations from being disease-focussed to being wellness focussed.
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    Funded Activity

    Linkage Projects - Grant ID: LP0775041

    Funder
    Australian Research Council
    Funding Amount
    $469,000.00
    Summary
    Data Mining of Activity Transactions to Strengthen Debt Prevention. A national benefit from this research will be the significant analytical contribution to the prevention of incorrect payment directly associated with 30% of Commonwealth outlays. Funds not incorrectly paid will be available for direction to other areas of national importance. Another benefit is the new technology will have application in commercial, state and federal government agencies where research into activity, event or pro .... Data Mining of Activity Transactions to Strengthen Debt Prevention. A national benefit from this research will be the significant analytical contribution to the prevention of incorrect payment directly associated with 30% of Commonwealth outlays. Funds not incorrectly paid will be available for direction to other areas of national importance. Another benefit is the new technology will have application in commercial, state and federal government agencies where research into activity, event or process data can be used to improve service delivery outcomes. A further national benefit will be the development and use of frontier activity transaction mining techniques to ensure Australia a leading role in enterprise data mining research and development.
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    Funded Activity

    Linkage Projects - Grant ID: LP0989721

    Funder
    Australian Research Council
    Funding Amount
    $330,000.00
    Summary
    Pattern Analysis and Risk Control of E-Commerce Transactions to Secure Online Payments. The instant filtering of risky online payments is critical for merchants and online payment service providers to control fraud and thus reduce immense losses every year. This project will deliver new and workable techniques for on-the-fly discovering e-payment fraudsters in e-commerce. It can safeguard Australian online businesses and build and transform Australian merchants and online payment associations by .... Pattern Analysis and Risk Control of E-Commerce Transactions to Secure Online Payments. The instant filtering of risky online payments is critical for merchants and online payment service providers to control fraud and thus reduce immense losses every year. This project will deliver new and workable techniques for on-the-fly discovering e-payment fraudsters in e-commerce. It can safeguard Australian online businesses and build and transform Australian merchants and online payment associations by delivering frontier techniques and smart e-payment fraud prevention and risk control to boost Australian online businesses and competitive capabilities globally. The resulting systems, researchers trained and publications will further enhance Australia's global leading role in tackling critical data mining challenges and applications.
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    Showing 1-6 of 6 Funded Activites

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