Modelling Virtual Transport Channel for Future Multimedia Heterogeneous Networks. Recent advances in network bandwidth and processing power have led to the emergence of real time multimedia streaming applications and it is expected that such applications will become an even more dominant source of traffic in future computer networks. Quality of service studies for real-time applications in high-speed networks, point to the importance of the transport layer functionality in admission control, mon ....Modelling Virtual Transport Channel for Future Multimedia Heterogeneous Networks. Recent advances in network bandwidth and processing power have led to the emergence of real time multimedia streaming applications and it is expected that such applications will become an even more dominant source of traffic in future computer networks. Quality of service studies for real-time applications in high-speed networks, point to the importance of the transport layer functionality in admission control, monitoring end-to-end delays, and network bandwidth adaptability. The project will study, design, develop and analyse a comprehensive model for the virtual transport layer to satisfy the necessary quality of service requirements for the next generation of multimedia-based applications.Read moreRead less
Thulium doped silica-based optical fibres - towards the realisation of an optical amplifier. In the last decade the data capacity of a single optical fibre has grown way beyond all expectations. However, our ability to utilise the available capacity continues to keep pace with any advance. This project has the potential to add substantially to the transmission capacity by developing an optical amplifier at wavelengths which, although available within the fibre, can not currently be utilised. The ....Thulium doped silica-based optical fibres - towards the realisation of an optical amplifier. In the last decade the data capacity of a single optical fibre has grown way beyond all expectations. However, our ability to utilise the available capacity continues to keep pace with any advance. This project has the potential to add substantially to the transmission capacity by developing an optical amplifier at wavelengths which, although available within the fibre, can not currently be utilised. The focus of the project is the study of thulium doped silica-based fibres for amplification in the 1460 to 1530 nm wavelength region. Read moreRead less
Semiconductor Photonic Crystal Devices. Photonic crystals will be a key element of future all-optical ultra-highspeed photonic integrated circuits for telecommunications and signal processing. This project will pioneer new structures capable of manipulating light on integrated photonic chips, based on nano-scale features in semiconductors. This will have a significant impact on Australia's photonics industry.
Combinatorial structures for computer security and communication. Hadamard matrices in their various guises arise many times in the study of reliable communications and secure communications. The aim of this research project is to use the theory of cyclotomy in both fields and rings to find new number theoretic results which will then be used to obtain new with zero or small autocorrelation functions.
The significance of this research is to propose new construction of Hadamard matrices and bloc ....Combinatorial structures for computer security and communication. Hadamard matrices in their various guises arise many times in the study of reliable communications and secure communications. The aim of this research project is to use the theory of cyclotomy in both fields and rings to find new number theoretic results which will then be used to obtain new with zero or small autocorrelation functions.
The significance of this research is to propose new construction of Hadamard matrices and block designs for computer security and wireless network communication.
We expect some new classes of Hadamard matrices and block designs can be constructed for security and communication applications and several papers would be submitted or published.
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Extending the scope of modular analysis for the validation of large systems. The increasing complexity of computer systems has severe implications for verification and validation, especially for critical systems (e.g. medical supervision, avionics mission systems). The standard approach is to build a formal model of the system and automatically analyse its behaviour. Such models can be captured in a modular, high-level description, but the number of states is usually so large as to preclude an ....Extending the scope of modular analysis for the validation of large systems. The increasing complexity of computer systems has severe implications for verification and validation, especially for critical systems (e.g. medical supervision, avionics mission systems). The standard approach is to build a formal model of the system and automatically analyse its behaviour. Such models can be captured in a modular, high-level description, but the number of states is usually so large as to preclude analysis. The modular analysis proposed in this project matches the analysis technique to the structure of the model. Preliminary results are promising and motivate the extension of the technique to a larger class of modular descriptions.Read moreRead less
A unified theory of performance in absolute identification tasks. The ability to identify stimuli is fundamentally important in human cognition and is studied in absolute identification tasks, where people must identify one out of a number of stimuli, varying on a single dimension, with an appropriate label. A remarkable finding is that people cannot reliably identify more than about seven different stimuli. This limit imposes severe practical restrictions on our ability to categorise stimuli an ....A unified theory of performance in absolute identification tasks. The ability to identify stimuli is fundamentally important in human cognition and is studied in absolute identification tasks, where people must identify one out of a number of stimuli, varying on a single dimension, with an appropriate label. A remarkable finding is that people cannot reliably identify more than about seven different stimuli. This limit imposes severe practical restrictions on our ability to categorise stimuli and constitutes a perplexing problem for cognitive theory. This project involves an international collaborative effort by five leading researchers in mathematical psychology to develop a comprehensive, integrative model of human performance in absolute identification tasks.
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Ensembles of Collaborative Neural Networks. Artificial neural networks have been used successfully for data mining and control. A neural network ensemble(NNE) is a collection of networks that exhibits properties of self-organization, plasticity, and adaptive behaviour. The aim of this research is to develop an efficient and theoretically sound algorithm for NNE learning. The outcomes of the project will include insights into self-organization of complex NNE and automatic problem decomposition an ....Ensembles of Collaborative Neural Networks. Artificial neural networks have been used successfully for data mining and control. A neural network ensemble(NNE) is a collection of networks that exhibits properties of self-organization, plasticity, and adaptive behaviour. The aim of this research is to develop an efficient and theoretically sound algorithm for NNE learning. The outcomes of the project will include insights into self-organization of complex NNE and automatic problem decomposition and an efficient algorithm for constructing and training NNE. Practical outcomes will include research training for early career researchers and new modelling tools for data mining, robotics and multi-agent systems. The project contributes to the national priority area of smart information use.Read moreRead less
Internet web page mining. This project aims to study the behaviour of internet search engines designed using a best first search strategy, and to improve on the existing designs. The outcome of the project will be a much better design of internet search engine which can be used to search for specific topics. The benefit to the Australian partner will be the gaining of skills in internet search engine design, originating from the Italian partner's group. The benefit to the Italian partner will be ....Internet web page mining. This project aims to study the behaviour of internet search engines designed using a best first search strategy, and to improve on the existing designs. The outcome of the project will be a much better design of internet search engine which can be used to search for specific topics. The benefit to the Australian partner will be the gaining of skills in internet search engine design, originating from the Italian partner's group. The benefit to the Italian partner will be the gaining of skills in research techniques, e.g., utilising a support vector machine as a classification tool, data mining techniques developed originally by the Australian partner's group, and in further developments of these techniques with specific applications to the internet web page mining problem.Read moreRead less
Extensions to the page scoring algorithm in internet search engine studies. This project proposes to study two extensions to the Page rank equation which is one of the theoretical underpinning of Google's web page scoring engine. In particular, we wish to explore ways to combine page connectivity and page characteristics in the scoring of web pages. This will be the first time a rational way is proposed for combining these two factors. The expected outcome will be a deeper understanding on how t ....Extensions to the page scoring algorithm in internet search engine studies. This project proposes to study two extensions to the Page rank equation which is one of the theoretical underpinning of Google's web page scoring engine. In particular, we wish to explore ways to combine page connectivity and page characteristics in the scoring of web pages. This will be the first time a rational way is proposed for combining these two factors. The expected outcome will be a deeper understanding on how these two factors affect the scores of a web page in a search engine, and hence how they affect the visibility of the page in response to a query.
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Efficient data manipulation in document classification. Document Classification has an enormous relevance in an era where large amounts of textual information is available. Document Classification is based on statistical and machine learning techniques that model documents represented as points in a multidimensional space. The Computer Engineering Laboratory (CEL) has ongoing projects using neural networks and other techniques for document classification. We are developing a development environm ....Efficient data manipulation in document classification. Document Classification has an enormous relevance in an era where large amounts of textual information is available. Document Classification is based on statistical and machine learning techniques that model documents represented as points in a multidimensional space. The Computer Engineering Laboratory (CEL) has ongoing projects using neural networks and other techniques for document classification. We are developing a development environment for large classification tasks, and Prof. Lee¡¯s work will focus in managing large amounts of data for them. Using his experience in data compression, databases and web applications, he will produce a set of tools for handling Gigabytes of textual data in our classification environment.Read moreRead less