A direct drive linear tube generator for ocean wave energy conversion. This project aims to investigate a direct drive linear electromagnetic generator system for the maximum wave energy conversion and frequency bandwidth. This system has a translator of a multiple degree of freedom non-linear oscillator system built with the Halbach ring array pattern and ferro-fluid bearings. To establish wave energy conversion science, this project will investigate the device, its integration with a buoy stru ....A direct drive linear tube generator for ocean wave energy conversion. This project aims to investigate a direct drive linear electromagnetic generator system for the maximum wave energy conversion and frequency bandwidth. This system has a translator of a multiple degree of freedom non-linear oscillator system built with the Halbach ring array pattern and ferro-fluid bearings. To establish wave energy conversion science, this project will investigate the device, its integration with a buoy structure under wave loadings and automatic control of power conversion and conditioning. The outcome could meet demands for wave energy conversion technologies that reduce power generation cost and emissions, benefiting the Australian economy and environment.Read moreRead less
Managing Hydrate Formation for Viable CO2 and Energy Transport. Increasing the allowable water content during the pipeline transportation of carbon dioxide (CO2) would greatly increase the viability of carbon capture and storage but would also increase the risk of CO2-hydrate blockages. Subsea methane (CH4) hydrate sediments represent a tremendous new energy resource if blockages in production pipelines can be avoided. Conventional oil industry approaches to hydrate avoidance are of limited rele ....Managing Hydrate Formation for Viable CO2 and Energy Transport. Increasing the allowable water content during the pipeline transportation of carbon dioxide (CO2) would greatly increase the viability of carbon capture and storage but would also increase the risk of CO2-hydrate blockages. Subsea methane (CH4) hydrate sediments represent a tremendous new energy resource if blockages in production pipelines can be avoided. Conventional oil industry approaches to hydrate avoidance are of limited relevance and too expensive for these new applications. Formation probability distributions, cohesive forces and agglomeration tendencies of CO2 and CH4 hydrates are intended to be measured and integrated into predictive multi-phase flow models, enabling quantitative risk assessments of blockages in CO2 transport or hydrate production pipelines.Read moreRead less
Surviving the data deluge: Scalable feature extraction, discrimination and analysis for computer vision tasks using compressed sensed data. Strategically, our pioneering solutions besides being technically and socially significant, open fresh options for sensor-agnostic data analysis. The technical significance lies through the creation of new technologies for the critical national and global security markets, currently overwhelmed by data. The social significance arises from our solutions being ....Surviving the data deluge: Scalable feature extraction, discrimination and analysis for computer vision tasks using compressed sensed data. Strategically, our pioneering solutions besides being technically and socially significant, open fresh options for sensor-agnostic data analysis. The technical significance lies through the creation of new technologies for the critical national and global security markets, currently overwhelmed by data. The social significance arises from our solutions being privacy preserving, providing new avenues for the production of novel, socially acceptable products for aged care monitoring. Our methods spearhead future advancement in diverse disciplines due to the wide applicability of the methods to other sensor networks (Square Kilometre Array) and data types, providing new frameworks for addressing crucial problems of data management. Read moreRead less
Robust speech recognition in realistic hostile environments. Australia leads the world in the adoption of speech recognition technology but sadly lags in the development of the fundamental advances in the area. This research will help propel Australia to the forefront of new innovations in speech recognition technology and contributions to fundamental science. Our project will provide an excellent training ground for graduate students and researchers, with the real possibility of significant com ....Robust speech recognition in realistic hostile environments. Australia leads the world in the adoption of speech recognition technology but sadly lags in the development of the fundamental advances in the area. This research will help propel Australia to the forefront of new innovations in speech recognition technology and contributions to fundamental science. Our project will provide an excellent training ground for graduate students and researchers, with the real possibility of significant commercial benefit to the nation. The deployment of our system in the community will greatly enhance the defence and police forces ability for surveillance and security, and will provide new assistive aids to improve the quality of life and safety for the elderly and disabled.Read moreRead less
Learning to Pinpoint Emerging Software Vulnerabilities. This project aims to develop learning-based software vulnerability detection techniques to improve the reliability and security of modern software systems. The existing techniques relying on conventional yet rigid software analysis and testing techniques are ineffective and/or inefficient when detecting a wide variety of emerging software vulnerabilities. The outcomes of this project will be a deep-learning-based detection approach and an ....Learning to Pinpoint Emerging Software Vulnerabilities. This project aims to develop learning-based software vulnerability detection techniques to improve the reliability and security of modern software systems. The existing techniques relying on conventional yet rigid software analysis and testing techniques are ineffective and/or inefficient when detecting a wide variety of emerging software vulnerabilities. The outcomes of this project will be a deep-learning-based detection approach and an open-source tool that can capture precision correlations between deep code features and diverse vulnerabilities to pinpoint emerging vulnerabilities without the need for bug specifications. Significant benefits include greatly improved quality, reliability and security for modern software systems.Read moreRead less
Better predictions of spray flames. This project aims to predict spray flames using experimental and computational modelling of the combustion near burning droplets in spray flames. Spray flames are the dominant source of energy for the transportation sector, and are expected to remain so well into the future. Limited understanding of combustion processes surrounding the burning of the droplets restricts further technological development. This project is expected to enable progress in design too ....Better predictions of spray flames. This project aims to predict spray flames using experimental and computational modelling of the combustion near burning droplets in spray flames. Spray flames are the dominant source of energy for the transportation sector, and are expected to remain so well into the future. Limited understanding of combustion processes surrounding the burning of the droplets restricts further technological development. This project is expected to enable progress in design tools for spray flame combustors operating on liquid fuels, including bio-fuels. The result will be lower pollutant emissions and lower the cost of design of new engines.Read moreRead less
Taming media for the masses: Computational frameworks for intelligent digital media capture, management, and sharing. The core issues tackled in this project are learning, recognition and application of semantics in multimedia data and the context of its creation and use - a foundational issue in pattern recognition with many applications. The project is part of the Institute for Multi-sensor Processing and Content Analysis whose aim is to tackle technical issues in large scale pattern recogniti ....Taming media for the masses: Computational frameworks for intelligent digital media capture, management, and sharing. The core issues tackled in this project are learning, recognition and application of semantics in multimedia data and the context of its creation and use - a foundational issue in pattern recognition with many applications. The project is part of the Institute for Multi-sensor Processing and Content Analysis whose aim is to tackle technical issues in large scale pattern recognition. By developing scalable and robust techniques to extract information from large scale multi-modal data, the applications include large scale surveillance systems from multi-modal data (e.g. airport security, smart homes for the aged), context-aware devices, and the next generation of media creation and repurposing tools - a fast-growing sector of the economy.Read moreRead less
Automated texture selection and classification methods for detection of osteoarthritis in knee radiographs. In Australia there are 1-2 million OA sufferers, a condition that costs approximately $9 billion annually. This project will address an important problem of early detection and monitoring of OA and this remains in line with the National Research Priority 2. Potential outcomes of the project will result in better diagnosis and treatment of OA, reduced discomfort to the individual and saving ....Automated texture selection and classification methods for detection of osteoarthritis in knee radiographs. In Australia there are 1-2 million OA sufferers, a condition that costs approximately $9 billion annually. This project will address an important problem of early detection and monitoring of OA and this remains in line with the National Research Priority 2. Potential outcomes of the project will result in better diagnosis and treatment of OA, reduced discomfort to the individual and saving to the national economy. This project will improve existing activity and rehabilitation programs such as exercise of lower limbs and it will help in developing diets for healthy people and OA sufferers.Read moreRead less
Bridging the semantic gap for building effective content management systems: Computational media aesthetics. This project focuses on video abstraction and aims to bridge the semantic gap between the simplicity of available visual features and the richness of user descriptions. We examine how visual and aural techniques are brought together to influence the engagement of audience in a story portrayal. The major outcome will be a computational framework for extracting the semantics associated wi ....Bridging the semantic gap for building effective content management systems: Computational media aesthetics. This project focuses on video abstraction and aims to bridge the semantic gap between the simplicity of available visual features and the richness of user descriptions. We examine how visual and aural techniques are brought together to influence the engagement of audience in a story portrayal. The major outcome will be a computational framework for extracting the semantics associated with audiovisual elements in television/film, and scalable software tools that can rapidly and consistently analyse media along various aesthetic dimensions. It will allow for high-level annotation of media and the building of more effective content management systems with enhanced user querying capabilities.Read moreRead less
Unified Representations of Multimodal Biometrics for Robust Authentication and Identification. We propose two biometric systems based on two novel unified multimodal biometric representations. These systems will have a great potential impact on the national economy by reducing frauds related to identity, credit card transactions, and ATM withdrawals. Statistics show that these types of frauds are dramatically increasing in the U.S.A., the U.K., and Australia. Our systems will also have governmen ....Unified Representations of Multimodal Biometrics for Robust Authentication and Identification. We propose two biometric systems based on two novel unified multimodal biometric representations. These systems will have a great potential impact on the national economy by reducing frauds related to identity, credit card transactions, and ATM withdrawals. Statistics show that these types of frauds are dramatically increasing in the U.S.A., the U.K., and Australia. Our systems will also have government applications and will impact on the national security in areas related to immigration, passport and driver's license controls. Forensic applications include criminal identification, crime scene investigation and corpse identification (as in the case of the victims of the Asian tsunami 2004). Read moreRead less