Scalable Visual Analytics for Uncertain Dynamic Networks. Technological advances have provided a data deluge over the past few years, and have led to many large uncertain and dynamic network models. This includes terrorist networks, marketing networks, facebook networks, various biological networks, and software engineering structures. Human understanding of such networks is difficult. This project aims to provide new methods for visual analysis of large uncertain dynamic networks such as these. ....Scalable Visual Analytics for Uncertain Dynamic Networks. Technological advances have provided a data deluge over the past few years, and have led to many large uncertain and dynamic network models. This includes terrorist networks, marketing networks, facebook networks, various biological networks, and software engineering structures. Human understanding of such networks is difficult. This project aims to provide new methods for visual analysis of large uncertain dynamic networks such as these. The algorithms developed in the project will help security analysts to monitor illegal behaviour such as money laundering and terrorist activities, help biologists understand key biological systems, and help engineers to understand large software systems.Read moreRead less
A Layered Controlled Natural Language for Knowledge Representation. In this research project we will develop a controlled natural language for knowledge representation that has the potential to bridge the gap between fragments of natural language and formal languages. This controlled language will be based on a variety of increasing sophisticated layers, each building upon those below it by providing enhancements in expressive power. Sentences of the controlled language will be unambiguously tra ....A Layered Controlled Natural Language for Knowledge Representation. In this research project we will develop a controlled natural language for knowledge representation that has the potential to bridge the gap between fragments of natural language and formal languages. This controlled language will be based on a variety of increasing sophisticated layers, each building upon those below it by providing enhancements in expressive power. Sentences of the controlled language will be unambiguously translatable into a corresponding formal language. Anyone who can read and write English can immediately use the controlled language with the help an intelligent text editor. This technology will make it possible for non-specialists to write problem specifications in terms of the application domain without the need to formally encode the information.Read moreRead less
Building a Prototype for Quality Information Retrieval from the Internet. This projects aims to consider fundamental issues in implementing a prototype quality information retrieval system from the world wide web. These issues include: retrieval of relevant pages to a given topic using a focussed crawler; text categorisation of the retrieved web pages; quality selection criteria with the formulation of a quality index to determine quality of retrieved pages, and user interface design to obtain r ....Building a Prototype for Quality Information Retrieval from the Internet. This projects aims to consider fundamental issues in implementing a prototype quality information retrieval system from the world wide web. These issues include: retrieval of relevant pages to a given topic using a focussed crawler; text categorisation of the retrieved web pages; quality selection criteria with the formulation of a quality index to determine quality of retrieved pages, and user interface design to obtain relevance feedback. The outcome will be a prototype system useful to business and industry though to guide our thinking we will use issues in constructing a quality digital library collection as a sounding board.
Read moreRead less
Beamforming with acoustic vector sensors for audio user interfaces. We aim to create new Audio User Interfaces (AUIs) for the automatic separation and annotation of audio from complex sound scenes using acoustic vector sensor beamforming technology. Specifically, we will develop: speech AUIs for noisy, multi-talker, reverberant environments; and sound transcription AUIs for the deaf. Ultimately, users will be able to walk into a room, hold conversations and leave with a searchable, automatically ....Beamforming with acoustic vector sensors for audio user interfaces. We aim to create new Audio User Interfaces (AUIs) for the automatic separation and annotation of audio from complex sound scenes using acoustic vector sensor beamforming technology. Specifically, we will develop: speech AUIs for noisy, multi-talker, reverberant environments; and sound transcription AUIs for the deaf. Ultimately, users will be able to walk into a room, hold conversations and leave with a searchable, automatically-generated transcript of the audio events, tagged with metadata. The application of these technologies will create new possibilities for recording audio in the music, radio, TV industries, and future home based audio communication systems.Read moreRead less
Algorithmics for Interactive 2.5D Graph Drawing. Technological advances have provided a data deluge over the past few years, and consequently have led to many large and complex network models in many domains. This includes terrorrist networks and biological networks, software engineering structures, and webgraphs. Visualisation is an effective tool in helping humans to understand such networks. This project aims to provide a new direction in network visualisation, using 2.5 dimensions. The algor ....Algorithmics for Interactive 2.5D Graph Drawing. Technological advances have provided a data deluge over the past few years, and consequently have led to many large and complex network models in many domains. This includes terrorrist networks and biological networks, software engineering structures, and webgraphs. Visualisation is an effective tool in helping humans to understand such networks. This project aims to provide a new direction in network visualisation, using 2.5 dimensions. The algorithms developed in the project will help security analysts to detect abnormal behavious such as money laundering, help biologists understand protein-protein interaction networks, and help engineers to understand large software systems.Read moreRead less
Semantic Image Access with Intelligent User Interaction. Collaborating with the world class Microsoft Research lab on this project will put Australia in the leading position in the field of visual information access, foster new applications to enhance and accelerate visually enabled e-Research, and strengthen Australian ICT. This project will achieve significant advances in image access ranging from the personal level to the professional level, which will power Microsoft search technologies and ....Semantic Image Access with Intelligent User Interaction. Collaborating with the world class Microsoft Research lab on this project will put Australia in the leading position in the field of visual information access, foster new applications to enhance and accelerate visually enabled e-Research, and strengthen Australian ICT. This project will achieve significant advances in image access ranging from the personal level to the professional level, which will power Microsoft search technologies and bring enormous economic benefits to Australia. The advances will encourage Australians to widely use visual information. The benefits of this project can also reach the area of Safeguarding Australia by intelligently and automatically collecting and analyzing massive images.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