Early Indicators Of Noise Injury: Are Decreased Auditory Processing Skills Evident In Noise-exposed Adults Prior To Diagnosis Of Hearing Loss?
Funder
National Health and Medical Research Council
Funding Amount
$367,605.00
Summary
Recent research indicates that noise-exposed individuals with similar hearing thresholds to non-noise exposed counterparts are more likely to have diminished temporal and spectral auditory processing abilities. This research aims to determine the relationship between noise exposure levels and auditory processing difficulties; the influence of musical training in ameliorating these difficulties; and a neurological model of causation, operation and possible remediation of these difficulties.
Organization Of Descending Auditory Projections From Inferior Colliculus To Cochlear Nucleus
Funder
National Health and Medical Research Council
Funding Amount
$473,121.00
Summary
Sensory information gains awareness by ascending brain pathways to reach consciousness. Descending projections, however, have grown in importance because of implications for feedback management of ascending signals. Studies of these pathways will provide insight into auditory processing with respect to selective volume control, calibration adjustments between the two ears, and the extraction of signals from background noise. The data could lead to new strategies for treating hearing disorders.
Development Of The Listening In Spatialized Noise - Tonal Test (or LiSN-T)
Funder
National Health and Medical Research Council
Funding Amount
$227,136.00
Summary
In this project a novel listening test software will be developed for diagnosing spatial processing disorder in children. These children often have difficulties in understanding teachers in classrooms, which can significantly impact their ability to learn. The developed software will be specifically designed for diagnosing 5-year old children, before they enter primary school, and in contrast to existing tests will be independent of their language background.
Content-based image retrieval using interactive feedback. Storage and retrieval of visual information plays an important role in multimedia systems. We aim to develop a method to retrieve images and visual information from multimedia databases and multimedia systems. The method will go beyond simple similarity search to retrieval data on knowledge by accommodating knowledge acquisition and sequential learning techniques, and will be able to handle complex queries with partial information. The ....Content-based image retrieval using interactive feedback. Storage and retrieval of visual information plays an important role in multimedia systems. We aim to develop a method to retrieve images and visual information from multimedia databases and multimedia systems. The method will go beyond simple similarity search to retrieval data on knowledge by accommodating knowledge acquisition and sequential learning techniques, and will be able to handle complex queries with partial information. The technology developed will find many applications in the multimedia area such as education, medical imaging, desktop publishing, advertising, business presentation, and engineering design.Read moreRead less
A scheme and a formal language for interactive video. Video has been increasingly used in many fields and plays an important role in our daily life. Most traditional video players and video formats only provide linear interaction, such as play, fast forward, fast backward or jump to a certain frame of a video stream indicated by a sequence or time on a random access device. This project aims at enabling a hyperlink type of interactions for video data through the development of video interaction ....A scheme and a formal language for interactive video. Video has been increasingly used in many fields and plays an important role in our daily life. Most traditional video players and video formats only provide linear interaction, such as play, fast forward, fast backward or jump to a certain frame of a video stream indicated by a sequence or time on a random access device. This project aims at enabling a hyperlink type of interactions for video data through the development of video interaction mark-up language (VIML). It can find many applications in education, marketing, web presentation and digital TV.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.
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Special Research Initiatives - Grant ID: SR0354729
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
Smart Use of Information Technologies (SUITs). The SUITs network will develop critical mass in world-class, leading-edge research into the smart use of information and communication technology (ICT) through integration of research within the dispersed Australian ICT research community and through facilitating international linkages. The network will undertake research applicable in key sectors including the health, education, service, knowledge and media industries. The aim is to establish a h ....Smart Use of Information Technologies (SUITs). The SUITs network will develop critical mass in world-class, leading-edge research into the smart use of information and communication technology (ICT) through integration of research within the dispersed Australian ICT research community and through facilitating international linkages. The network will undertake research applicable in key sectors including the health, education, service, knowledge and media industries. The aim is to establish a higher order of coordination and collaboration in research into ICT applications.
The feasibility study proposed will engage key stakeholders, refine research goals and investigate linkage mechanisms to improve Australia's ICT research and its contribution to economic and social well-being.
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Data Management Technologies for the Magnetic Resonance Imaging e-Research Grid. Howard Florey Institute researchers will collaborate with SGI's file-systems engineering team. Substantial benefits are expected from the development of techniques to support centralized and distributed processing medical image datasets. Issues requiring research include file space allocation algorithms and caching strategies. The proposed rapid database access technologies aim at solving these problems in the medic ....Data Management Technologies for the Magnetic Resonance Imaging e-Research Grid. Howard Florey Institute researchers will collaborate with SGI's file-systems engineering team. Substantial benefits are expected from the development of techniques to support centralized and distributed processing medical image datasets. Issues requiring research include file space allocation algorithms and caching strategies. The proposed rapid database access technologies aim at solving these problems in the medical imaging research context. The project attempts to 'improve data management for existing and new business applications'. This enhanced sharing of information will improve critical mass therefore fostering national and international collaboration. Read moreRead less
Asynchronous Continuous Time Conditioning. Methodology for reasoning about Asynchronous Temporal Conditional Events (ATCE) obtains, complete with logical calculus for causal relations, reasoning about continuous time belief change, and markov chain algorithms calculating joint distributions of ATCE's.
Current techniques, including bayesian nets, are oblivious to temporal aspects; within our model they can be enhanced to recognize dynamic time changes. Ours is the first such unified model and ....Asynchronous Continuous Time Conditioning. Methodology for reasoning about Asynchronous Temporal Conditional Events (ATCE) obtains, complete with logical calculus for causal relations, reasoning about continuous time belief change, and markov chain algorithms calculating joint distributions of ATCE's.
Current techniques, including bayesian nets, are oblivious to temporal aspects; within our model they can be enhanced to recognize dynamic time changes. Ours is the first such unified model and first to link conditional objects with continuous time constraints.
Need for structures we propose arises in diagnostic reasoning, bayesian learning, temporal databases, and time-dependent data mining. Several commercial products (like Microsoft Office Assistant)could apply them forthwith.Read moreRead less
Varying similarity metrics in indexing and retrieving high dimensional data. Many applications require varying distance metrics by putting a weight on different dimensions. Taking an example in visual information retrieval, due to the subjective nature of similarity measurements, the distance metrics can vary between different users. The main problem with k nearest neighbour (k-nn) searches using weighted metrics in a high dimensional space is whether the searches can be done efficiently, since ....Varying similarity metrics in indexing and retrieving high dimensional data. Many applications require varying distance metrics by putting a weight on different dimensions. Taking an example in visual information retrieval, due to the subjective nature of similarity measurements, the distance metrics can vary between different users. The main problem with k nearest neighbour (k-nn) searches using weighted metrics in a high dimensional space is whether the searches can be done efficiently, since in an arbitrary distance metric the intersection between the k-nn sphere and the bounding envelopes of nodes in an index tree cannot be easily calculated. This project aims to seek a novel solution. It will create a great impact on and have many applications in high dimensional visual information retrieval, instance-based learning, complex analysis, non-parametric density estimation, etc.Read moreRead less