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
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
New Mobile Interface Techniques for Accessing Desktop Applications from Mobile Devices. The mobile data industry is a multi-billion dollar industry and is growing at a rate of seventeen percent per year. The capability to access data and applications from handheld devices is becoming increasingly vital for businesses and transforming business practices. However, while there are a multitude of software applications available for use on desktop computers these typically can't be used from mobile d ....New Mobile Interface Techniques for Accessing Desktop Applications from Mobile Devices. The mobile data industry is a multi-billion dollar industry and is growing at a rate of seventeen percent per year. The capability to access data and applications from handheld devices is becoming increasingly vital for businesses and transforming business practices. However, while there are a multitude of software applications available for use on desktop computers these typically can't be used from mobile devices due to the small form factor. In this project we will develop new mobile interface techniques and methodologies that will allow unaltered desktop software applications to be used from small-form factor mobile devices, via transforming the application interfaces.Read moreRead less
Development And Validation Of A Latent Tuberculosis Diagnostic
Funder
National Health and Medical Research Council
Funding Amount
$534,865.00
Summary
Globally, tuberculosis is a leading cause of death with 9.6 million new diagnoses in 2014. The diagnosis of latent TB infection is important, but is difficult to make because current assays are suboptimal. We have developed a very simple assay which detects responses to TB antigens by co-expression of two surface markers expressed by CD4+ T cells. We propose to develop this into a highly standardised kit for the diagnosis of TB with our commercial partner Cytognos.
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
Drug-induced Immune Thrombocytopenia: Understanding The Disease Mechanisms Is The Key To Better Treatment
Funder
National Health and Medical Research Council
Funding Amount
$509,550.00
Summary
Many very commonly used medications cause an allergic reaction in a small number of patients that receive them. The allergic reaction results in platelets being destroyed and puts the patients at risk of bleeding. The patient recovers slowly if the drug is stopped but there is no other treatment and no way to reverse the effect quickly if the patient starts to bleed. This project will try to understand the mechanism of the condition and test a potential treatment.
Streaming video media using semantic information. Delivering video over the Internet has posted a big problem. Video files are extremely big and need hours or even tens of hours to download. This is too long to wait for the content. Much research has been attempted over low-level structures such as coding, buffer, protocol, agent and server. These techniques are either not scalable or impractical. This project aims to collaborate with CyberView on developing a high-level scheme of streaming vide ....Streaming video media using semantic information. Delivering video over the Internet has posted a big problem. Video files are extremely big and need hours or even tens of hours to download. This is too long to wait for the content. Much research has been attempted over low-level structures such as coding, buffer, protocol, agent and server. These techniques are either not scalable or impractical. This project aims to collaborate with CyberView on developing a high-level scheme of streaming video using semantic information. It breaks videos into shots and allows semantic browsing of the content. It also introduces intelligent agents with various behaviours.Read moreRead less
A scalable and portable question-answering system. The current availability of large volumes of free text digitally stored demands the development of methodologies that can automatically find specific answers to user questions about this "unstructured" information. The goal of this project is to develop a scalable portable and domain-independent real-time natural-language question-answering system that explores the logical contents of the text. To achieve this we will fuse current approaches to ....A scalable and portable question-answering system. The current availability of large volumes of free text digitally stored demands the development of methodologies that can automatically find specific answers to user questions about this "unstructured" information. The goal of this project is to develop a scalable portable and domain-independent real-time natural-language question-answering system that explores the logical contents of the text. To achieve this we will fuse current approaches to question answering with approaches that look at the logical contents of the questions and answer candidates. A central part of the project will be the characterisation of the optimal logical forms, the determination of efficient methods to create and store sentence logical forms of potentially large volumes of text, and the treatment of difficult questions by incorporating summarisation and text generation techniques.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
A Skin Detection Micro-Sensor for Face Identification using Color and Stereo Information. The objective of this research is to develop a micro-sensor for face identification, using color and stereo information. The micro-sensor chip performs a real-time search of the scene to locate human skin for subsequent face detection. This micro-sensor could also be used for gesture recognition, lip reading, monitoring driver's hypo-vigilance or tracking a person in a crowd. The chip image-recognition capa ....A Skin Detection Micro-Sensor for Face Identification using Color and Stereo Information. The objective of this research is to develop a micro-sensor for face identification, using color and stereo information. The micro-sensor chip performs a real-time search of the scene to locate human skin for subsequent face detection. This micro-sensor could also be used for gesture recognition, lip reading, monitoring driver's hypo-vigilance or tracking a person in a crowd. The chip image-recognition capabilities will spur the development of a new generation of consumer products with "intelligent eyes".
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