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Field of Research : Information Systems
Research Topic : Fuzzy computation
Australian State/Territory : VIC
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Information Systems (7)
Neural Networks, Genetic Alogrithms And Fuzzy Logic (3)
Computation Theory And Mathematics Not Elsewhere Classified (2)
Ecology And Evolution Not Elsewhere Classified (2)
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Neural, Evolutionary and Fuzzy Computation (2)
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  • Researchers (14)
  • Funded Activities (7)
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  • Funded Activity

    Discovery Projects - Grant ID: DP160103595

    Funder
    Australian Research Council
    Funding Amount
    $339,000.00
    Summary
    Long-term Cloud Service Composition. This project proposes an economic model-based framework for the selection and composition of cloud services, thus creating an efficient market for cloud consumers and providers. The project will use economic models that incorporate a range of quality of service (QoS) parameters as a key driver for optimising the selection of cloud services and the acceptance of consumer requests. The main outcomes of this project aim to increase efficiencies in the cloud mark .... Long-term Cloud Service Composition. This project proposes an economic model-based framework for the selection and composition of cloud services, thus creating an efficient market for cloud consumers and providers. The project will use economic models that incorporate a range of quality of service (QoS) parameters as a key driver for optimising the selection of cloud services and the acceptance of consumer requests. The main outcomes of this project aim to increase efficiencies in the cloud market, benefiting consumers and providers.
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    Funded Activity

    Linkage Projects - Grant ID: LP120200305

    Funder
    Australian Research Council
    Funding Amount
    $510,000.00
    Summary
    An integrated and real-time passenger travel and public transport service information system. This project will help the Department of Transport provide improved services to the public through a better understanding of journey planning demands in comparison to public transport services. By integrating research through design methods with technological solutions, the project will deliver better quality of service and higher customer satisfaction.
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    Funded Activity

    Discovery Projects - Grant ID: DP0663196

    Funder
    Australian Research Council
    Funding Amount
    $201,000.00
    Summary
    Data Mining by Clustering in Very Large Relational Databases. Many commercial and governmental entities possess very large relational data that cannot be feasibly analyzed by today's computers, e.g., gene expression data, product usage databases and telecommunication call records. The clustering tools developed in this project will have a significant benefit on many business processes that involve clustering this type of data, such as fraud detection and market segmentation.
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    Funded Activity

    Discovery Projects - Grant ID: DP0663147

    Funder
    Australian Research Council
    Funding Amount
    $232,755.00
    Summary
    Service-oriented negotiation and coordination in multi-agent systems. Australia has a strong competitive advantage in the area of agent software. The outcomes of this project will provide an improved platform for services in application areas such as finance, e-commerce, tourism, and multi-platform media. More broadly, the work proposed here will enable the IT industry in Australia, and Melbourne specifically, to adopt and utilise agent-technology in developing the complex software that is inc .... Service-oriented negotiation and coordination in multi-agent systems. Australia has a strong competitive advantage in the area of agent software. The outcomes of this project will provide an improved platform for services in application areas such as finance, e-commerce, tourism, and multi-platform media. More broadly, the work proposed here will enable the IT industry in Australia, and Melbourne specifically, to adopt and utilise agent-technology in developing the complex software that is increasingly required to meet the needs of the software-driven knowledge economy of the 21st century.
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    Funded Activity

    Discovery Projects - Grant ID: DP0770359

    Funder
    Australian Research Council
    Funding Amount
    $678,305.00
    Summary
    Emergence of robust, stable structures via computation within natural networks. An ever-increasing challenge for modern society is the sheer complexity of vast infrastructures. Unexpected, and sometimes catastrophic, behaviour often emerges from interactions between elements of large systems. As a result, highly complex systems such as the Internet, international finance markets, and power grids are highly susceptible to costly problems such as cascading failures, inefficiency, and critical sens .... Emergence of robust, stable structures via computation within natural networks. An ever-increasing challenge for modern society is the sheer complexity of vast infrastructures. Unexpected, and sometimes catastrophic, behaviour often emerges from interactions between elements of large systems. As a result, highly complex systems such as the Internet, international finance markets, and power grids are highly susceptible to costly problems such as cascading failures, inefficiency, and critical sensitivity. High-tech industries, such as biotechnology and information networking, also face problems in coordinating swarms of interacting agents. This project will contribute to solving such problems by identifying and adapting solutions from nature.
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    Funded Activity

    Discovery Projects - Grant ID: DP0987832

    Funder
    Australian Research Council
    Funding Amount
    $360,000.00
    Summary
    Dual phase evolution in networks. A grand challenge for modern society is the sheer complexity of vast networks arising from organizations and infrastructures. Unexpected, sometimes catastrophic, behaviour often emerges from interactions within such systems. As a result, the Internet, financial markets, power grids and other vital infrastructures are susceptible to costly problems such as cascading failures, inefficiency, and unpredictability. High-tech industries, such as biotechnology and info .... Dual phase evolution in networks. A grand challenge for modern society is the sheer complexity of vast networks arising from organizations and infrastructures. Unexpected, sometimes catastrophic, behaviour often emerges from interactions within such systems. As a result, the Internet, financial markets, power grids and other vital infrastructures are susceptible to costly problems such as cascading failures, inefficiency, and unpredictability. High-tech industries, such as biotechnology and information networking, face problems in coordinating networks of interacting agents. This project will expand the horizon of complex systems by deriving the design principles underpinning stable and resilient network structures and validate these principles on real world networks.
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    Funded Activity

    Discovery Projects - Grant ID: DP0773532

    Funder
    Australian Research Council
    Funding Amount
    $176,184.00
    Summary
    Constrained numerical optimisation techniques for automatic graph drawing. Network visualisation (graph drawing) is an enabling technology that is valuable to many important Australian interests. This project aims to develop new techniques that are more easily adapted to specific applications than current methods. There are a range of benefits in developing this technology including but not limited to: improved mapping of terrorist networks that can aid early identification of security threats .... Constrained numerical optimisation techniques for automatic graph drawing. Network visualisation (graph drawing) is an enabling technology that is valuable to many important Australian interests. This project aims to develop new techniques that are more easily adapted to specific applications than current methods. There are a range of benefits in developing this technology including but not limited to: improved mapping of terrorist networks that can aid early identification of security threats; improved design and analysis of communication networks, either for the telecommunications industry or for emergency and disaster management scenarios such as bushfires; improved access to biological network databases used in the study of metabolic processes critical to drug development and genetic research.
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    Showing 1-7 of 7 Funded Activites

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