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Research Topic : Cloud computing
Socio-Economic Objective : Information processing services
Australian State/Territory : VIC
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  • Researchers (31)
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  • Funded Activity

    Linkage Projects - Grant ID: LP100100816

    Funder
    Australian Research Council
    Funding Amount
    $159,106.00
    Summary
    Secure and Efficient Communication in Vehicle-based Radio Frequency Identification Systems. The successful completion of the project will enable the deployment of RFID technologies to improve current methods of reading and processing RFID tag information in numerous real-life applications. Based on the research from this project a real-life application in asset tracking will be developed and deployed through the industry partner. Such an outcome will generate knowledge that can transform and imp .... Secure and Efficient Communication in Vehicle-based Radio Frequency Identification Systems. The successful completion of the project will enable the deployment of RFID technologies to improve current methods of reading and processing RFID tag information in numerous real-life applications. Based on the research from this project a real-life application in asset tracking will be developed and deployed through the industry partner. Such an outcome will generate knowledge that can transform and improve current logistics systems for Australian companies and their international clients and have the potential to significantly increase the efficiency of decentralised business environments such as logistics and supply chain management particularly in the fields of inventory control, distribution and transportation.
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    Funded Activity

    Discovery Projects - Grant ID: DP0877483

    Funder
    Australian Research Council
    Funding Amount
    $250,000.00
    Summary
    Optimal Deployment of Wireless Sensor Networks. Wireless sensor networks consist of coordinated sensing devices that offer us new ways to understand and interact with the physical world. Australia is a leading player in developing such networks. For a given technology, the key to both optimising the quality of area monitoring and minimising the cost of a sensor network lies in deciding how best to deploy the sensors. We aim to develop powerful new methods to get the best performance from a plann .... Optimal Deployment of Wireless Sensor Networks. Wireless sensor networks consist of coordinated sensing devices that offer us new ways to understand and interact with the physical world. Australia is a leading player in developing such networks. For a given technology, the key to both optimising the quality of area monitoring and minimising the cost of a sensor network lies in deciding how best to deploy the sensors. We aim to develop powerful new methods to get the best performance from a planned sensor network. This will enhance Australia's research role in this area and directly benefit applications such as national security and environmental monitoring.
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    Funded Activity

    Discovery Projects - Grant ID: DP0345713

    Funder
    Australian Research Council
    Funding Amount
    $193,035.00
    Summary
    Efficient Prediction of Application Metrics for E-Services. Application Service Providers (ASPs) are one of the fastest growing classes of e-services and operate on the principle of renting software applications. This project aims to develop prediction techniques to estimate quality of service metrics for ASPs. The efficient prediction of the service levels that can be ensured is challenging given the dynamic nature of the Internet and the semantics of application metrics not being formally defi .... Efficient Prediction of Application Metrics for E-Services. Application Service Providers (ASPs) are one of the fastest growing classes of e-services and operate on the principle of renting software applications. This project aims to develop prediction techniques to estimate quality of service metrics for ASPs. The efficient prediction of the service levels that can be ensured is challenging given the dynamic nature of the Internet and the semantics of application metrics not being formally defined. The project will result in the development of a prototype system to support prediction of service levels. This system will be accessible to the Australian e-services industry via a web interface.
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    Funded Activity

    Discovery Projects - Grant ID: DP0986052

    Funder
    Australian Research Council
    Funding Amount
    $250,000.00
    Summary
    Automatic music feature extraction, classification and annotation. Music is a huge industry currently undergoing a major revolution. The industry is shifting from music-making to music retrieval and its incorporation into a range of products from TV, and film, to music streaming into locations and events, as well as MP3 players and all kinds of electronic devices. This research will support immediate retrieval of music that meets the current industry need, based not just on titles, composers and .... Automatic music feature extraction, classification and annotation. Music is a huge industry currently undergoing a major revolution. The industry is shifting from music-making to music retrieval and its incorporation into a range of products from TV, and film, to music streaming into locations and events, as well as MP3 players and all kinds of electronic devices. This research will support immediate retrieval of music that meets the current industry need, based not just on titles, composers and/or performers, but on the actual properties of the music itself. The knowledge and music processing techniques developed will give Australian music industry an advantage over other countries.
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    Funded Activity

    Discovery Projects - Grant ID: DP0880874

    Funder
    Australian Research Council
    Funding Amount
    $315,000.00
    Summary
    Adaptive data stream processing in heterogeneous distributed computing environments using real-time context. This project falls within the ARC research priority goal, Smart Information Use. The innovative contributions of this project through the development of adaptive data stream mining algorithms for heterogeneous devices will have an impact on a range of emerging application areas such as: 1. Meeting time-critical, intelligent information needs of the mobile workforce (e.g. mobile healthca .... Adaptive data stream processing in heterogeneous distributed computing environments using real-time context. This project falls within the ARC research priority goal, Smart Information Use. The innovative contributions of this project through the development of adaptive data stream mining algorithms for heterogeneous devices will have an impact on a range of emerging application areas such as: 1. Meeting time-critical, intelligent information needs of the mobile workforce (e.g. mobile healthcare professionals, stockbrokers). 2. Improving Intelligent Transportation Systems via in-vehicle analysis and crash prevention. 3. Facilitating 'on-board' analysis in sensors that monitor the environment and patients. The project will enhance Australia's leading international role in the area of data stream processing in distributed computing environments.
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    Funded Activity

    Discovery Projects - Grant ID: DP0771183

    Funder
    Australian Research Council
    Funding Amount
    $249,000.00
    Summary
    Computational techniques for protease research. Protease research is an area of intensive research in Australia. Correctly assessing the mechanisms of protease function is crucial not only for improving our health through medical research and drug development, but also to multiple national areas of research and development, including biotechnology, agriculture, and industries such as the dairy industry. This project will develop innovative computational techniques to advance understanding of h .... Computational techniques for protease research. Protease research is an area of intensive research in Australia. Correctly assessing the mechanisms of protease function is crucial not only for improving our health through medical research and drug development, but also to multiple national areas of research and development, including biotechnology, agriculture, and industries such as the dairy industry. This project will develop innovative computational techniques to advance understanding of how proteases function by redressing a common research assumption that can significantly affect the accuracy of protease function prediction. The outcomes will improve fundamental research into proteases, and enable improved research and development in the many fields that rely on protease work.
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    Funded Activity

    Linkage Projects - Grant ID: LP0211384

    Funder
    Australian Research Council
    Funding Amount
    $135,270.00
    Summary
    e-Hermes: Context-rich mobile agent technologies to support information needs of financial institutions. How do we achieve flexibility and efficiency of financial services in electronic commerce environment using mobile software agents? To address this question the project will extend a system architecture based on mobile agents, which retrieve, pre-process and deliver relevant information to potentially mobile users. Two major components - information processor and agent mission processor - wil .... e-Hermes: Context-rich mobile agent technologies to support information needs of financial institutions. How do we achieve flexibility and efficiency of financial services in electronic commerce environment using mobile software agents? To address this question the project will extend a system architecture based on mobile agents, which retrieve, pre-process and deliver relevant information to potentially mobile users. Two major components - information processor and agent mission processor - will be researched and developed by two PhD scholars to be supported by this application. The project results could be commercialised by the industry partner. The project is innovative in that it considers the emerging agent paradigm as an integrated distributed system in the e-commerce environment.
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    Showing 1-7 of 7 Funded Activites

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