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
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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User-Driven Composition of Web Services. Web service composition technology promises to revolutionise the way in which organisations interact over the Web. However existing environments for the composition of Web services are too complex to use and are usually intended for experienced application developers as they rely either on scripting languages, or on a process-modelling notations intended to be used by IT experts. However, the need for customised composition of Web services is likely to em ....User-Driven Composition of Web Services. Web service composition technology promises to revolutionise the way in which organisations interact over the Web. However existing environments for the composition of Web services are too complex to use and are usually intended for experienced application developers as they rely either on scripting languages, or on a process-modelling notations intended to be used by IT experts. However, the need for customised composition of Web services is likely to emanate from non IT-experts.
The project aims at designing, implementing, and evaluating an environment for the specification and execution of composite Web services by non-expert.Read moreRead less
Privacy-preserving Web Services Composition. Web services composition is emerging as a promising technology for the
effective automation of business-to-business collaborations. It allows
organizations to form alliances by connecting their applications and systems, in order to offer ``one-stops shops'' for their customers. However, several important issues (e.g., security and privacy) need to be properly addressed before Web services technology meets the requirements of critical applications s ....Privacy-preserving Web Services Composition. Web services composition is emerging as a promising technology for the
effective automation of business-to-business collaborations. It allows
organizations to form alliances by connecting their applications and systems, in order to offer ``one-stops shops'' for their customers. However, several important issues (e.g., security and privacy) need to be properly addressed before Web services technology meets the requirements of critical applications such as e-goverment. This project aims at providing privacy preserving Web services composition techniques. The anticipated outcome of this project is a service composition framework that provides seamless interoperability between different Web services without violiating citizens and organisations privacy.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
Managing Knowledge in Web-Driven Organisational Evolution. Organisations are increasingly concerned with the effective utilisation of Web technologies, and especially the ways in which these technologies can be used to improve their business. Effective management of knowledge about the interplay between the organisation and technical drivers of this technology adoption will enable a much-enhanced process for leveraging emerging information and communication technologies. This project aims to li ....Managing Knowledge in Web-Driven Organisational Evolution. Organisations are increasingly concerned with the effective utilisation of Web technologies, and especially the ways in which these technologies can be used to improve their business. Effective management of knowledge about the interplay between the organisation and technical drivers of this technology adoption will enable a much-enhanced process for leveraging emerging information and communication technologies. This project aims to link related research at UTS and Southampton University to understand how tools might support this knowledge management. Outcomes will include the creation of specific tools (and techniques for using them) within the context of managing organisational uptake of new technologies.Read moreRead less
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
UNSW-Harvard-Cambridge Partnership in Semiconductor Nanostructures for Quantum Computing and Quantum Science. Breakthrough nanotechnologies based on quantum mechanics promise important new devices with many applications in information and communications technologies. For example, quantum computers promise an enormous increase in computing power, allowing fast and complex processing in areas such as database searching, gene sequencing and weather modeling. This new collaboration brings together r ....UNSW-Harvard-Cambridge Partnership in Semiconductor Nanostructures for Quantum Computing and Quantum Science. Breakthrough nanotechnologies based on quantum mechanics promise important new devices with many applications in information and communications technologies. For example, quantum computers promise an enormous increase in computing power, allowing fast and complex processing in areas such as database searching, gene sequencing and weather modeling. This new collaboration brings together researchers from major national Centres in Australia (UNSW), Great Britain (University of Cambridge) and the USA (Harvard University) to tackle one of modern sciences most challenging problems - how to control and manipulate quantum states.Read moreRead less
Investigations into machine learning applications in link analysis. Link analysis is an emerging tool for the detection of patterns in structured data. The detection of pattern in such data can lead to the detection of fraud occurrence, security breaches in computer systems, and patterns of social interactions with a community. It is also popularly applied to applications such as Web search engine designs and marketing analysis. This project aims to advance the area of link analysis by allowing ....Investigations into machine learning applications in link analysis. Link analysis is an emerging tool for the detection of patterns in structured data. The detection of pattern in such data can lead to the detection of fraud occurrence, security breaches in computer systems, and patterns of social interactions with a community. It is also popularly applied to applications such as Web search engine designs and marketing analysis. This project aims to advance the area of link analysis by allowing the incorporation of contextual information which accounts for relationships among actors properly. Advances in link detection will allow improvements in security and Web services on which a wide field of national bodies rely. This project can help to place Australia at the forefront of this research area.Read moreRead less
Acoustic Filter Functions from Morphological Measurements. This project works toward enabling the broadcast of high-fidelity 3D audio. By developing an efficient technique for deriving personalised acoustic filter functions based on image data of the listener's head and ears, we hope to enable high-fidelity 3D audio decoding and rendering. Morphological parameterisation techniques and databases recently developed at the University of York will be combined with the statistical synthesis technique ....Acoustic Filter Functions from Morphological Measurements. This project works toward enabling the broadcast of high-fidelity 3D audio. By developing an efficient technique for deriving personalised acoustic filter functions based on image data of the listener's head and ears, we hope to enable high-fidelity 3D audio decoding and rendering. Morphological parameterisation techniques and databases recently developed at the University of York will be combined with the statistical synthesis techniques and databases developed at the University of Sydney to substantially reduce the development time required for either group alone. Psychoacoustic experiments carried out at the University of Sydney will demonstrate the fidelity of the delivered 3D audio.Read moreRead less