Advancing Medical Image Analysis through High Performance Heterogeneous Computing, Numerical Simulation, and Novel Human Computer Interfaces. This project will link Australian researchers with a major multi-national IT company. The engagement of world-class personnel from Microsoft will provide unprecedented opportunities for graduate students to experience research in both an academic and an industrial setting. The participation of Microsoft product division offers the potential to transform th ....Advancing Medical Image Analysis through High Performance Heterogeneous Computing, Numerical Simulation, and Novel Human Computer Interfaces. This project will link Australian researchers with a major multi-national IT company. The engagement of world-class personnel from Microsoft will provide unprecedented opportunities for graduate students to experience research in both an academic and an industrial setting. The participation of Microsoft product division offers the potential to transform the outcomes of this project into widely-used software solutions. The project will pave the way for more widespread and reliable evidenced-based computer-aided diagnosis and image-guided treatment. It will produce well-trained and sought-after graduates and research associates with extensive inter-disciplinary knowledge of medical image analysis and high-performance computing.Read moreRead less
Producing 3D video sequences from 2D input video. The project will develop new methods for extracting 3D information from existing films so that they may be used with 3D television monitors marketed by the industrial partner, Dynamic Digital Depth. The 3D representation will allow existing video material such as existing films, TV programs and news video to be viewed in 3D on a suitable 3D TV monitor. This will give a boost to the acceptance of 3D television and film as a preferred medium. Ex ....Producing 3D video sequences from 2D input video. The project will develop new methods for extracting 3D information from existing films so that they may be used with 3D television monitors marketed by the industrial partner, Dynamic Digital Depth. The 3D representation will allow existing video material such as existing films, TV programs and news video to be viewed in 3D on a suitable 3D TV monitor. This will give a boost to the acceptance of 3D television and film as a preferred medium. Expected outcome is a software system that will speed the conversion of 2D video to a 3D representation through automatic and interactive analysis techniques.Read moreRead less
A novel cooperative global information system for healthcare. This project will develop a global model for healthcare based on the groundbreaking Protocol Hypothesis Testing (PHT) system, allowing expert groups of clinicians to create and share knowledge across organizations. The PHT is a unique functioning knowledge management system that allows clinicians to record patient and treatment data as it is generated in clinical practice and applies scientific methods to generate clinical knowledge, ....A novel cooperative global information system for healthcare. This project will develop a global model for healthcare based on the groundbreaking Protocol Hypothesis Testing (PHT) system, allowing expert groups of clinicians to create and share knowledge across organizations. The PHT is a unique functioning knowledge management system that allows clinicians to record patient and treatment data as it is generated in clinical practice and applies scientific methods to generate clinical knowledge, all in real-time. The project will develop and test a framework for the PHT system to be used cooperatively by expert groups across virtual organizations, refining the PHT system in the process.Read moreRead less
Programming Paradigms, Tools and Algorithms for Electronic Structure Calculations on Clusters of Non-Uniform Memory Access Parallel Processors. In recent years Australian academia has invested heavily in high performance computing systems. A significant fraction of these resources are devoted to performing computational chemistry studies, such as those used in drug design. This project links Australian researchers with the company responsible for a particularly widely used computational chemistr ....Programming Paradigms, Tools and Algorithms for Electronic Structure Calculations on Clusters of Non-Uniform Memory Access Parallel Processors. In recent years Australian academia has invested heavily in high performance computing systems. A significant fraction of these resources are devoted to performing computational chemistry studies, such as those used in drug design. This project links Australian researchers with the company responsible for a particularly widely used computational chemistry application package, and also with a major international computer company. Our aim is to substantially improve the performance of this code on cluster based compute systems. This, as well as our generic performance evaluation tools, would be of substantial benefit to the Australian research community. The project will forge links with researchers in Singapore, Japan and the USA.Read moreRead less
Programming Paradigms, Tools and Algorithms for the Spectral Solution of the Electronic Schroedinger Equation on Non-Uniform Memory Parallel Processors. We propose to develop software tools and methods that are appropriate for current and future generations of large scale shared memory computer systems. Our purpose is to enable a more productive utilization of these architectures for scientific computation. We will focus on algorithms for solving differential equations appropriate to quantum che ....Programming Paradigms, Tools and Algorithms for the Spectral Solution of the Electronic Schroedinger Equation on Non-Uniform Memory Parallel Processors. We propose to develop software tools and methods that are appropriate for current and future generations of large scale shared memory computer systems. Our purpose is to enable a more productive utilization of these architectures for scientific computation. We will focus on algorithms for solving differential equations appropriate to quantum chemistry. In particular an exciting new class of methods whose computational cost scales linearly with system size. Our goal is to develop scalable parallel implementations of these methods. If realized this will revolutionize computation, enabling first principles calculations on truly nanoscale systems, such as enzymes and molecular electronic devices.Read moreRead less
Exploiting Structure in AI Planning. The research will improve our ability to build generic, automated planning systems, which can efficiently select effective courses of actions in a range of situations such as crisis management, project planning, military operations planning, and transportation. It will help reduce the cost of building software to more efficiently solve important problems occurring in validating, controlling, and diagnosing complex systems. More generally, it will advance our ....Exploiting Structure in AI Planning. The research will improve our ability to build generic, automated planning systems, which can efficiently select effective courses of actions in a range of situations such as crisis management, project planning, military operations planning, and transportation. It will help reduce the cost of building software to more efficiently solve important problems occurring in validating, controlling, and diagnosing complex systems. More generally, it will advance our understanding of how machines can intelligently solve complex problems by identifying and exploiting their relevant structure.Read moreRead less
Thermo-mechanical interactive atlas of basin evolution. We propose to create a thermo-mechanical interactive atlas of basin evolution as a desktop geodynamic modelling resource for exploration geologists. The atlas will allow the user to iteratively run our 2D/3D basin modelling software ELLIPSIS to alter model parameters until they match observed basin geometries or thermal history. Model iteration will be based on interactive user evaluation of model outputs and genetic algorithms, which pr ....Thermo-mechanical interactive atlas of basin evolution. We propose to create a thermo-mechanical interactive atlas of basin evolution as a desktop geodynamic modelling resource for exploration geologists. The atlas will allow the user to iteratively run our 2D/3D basin modelling software ELLIPSIS to alter model parameters until they match observed basin geometries or thermal history. Model iteration will be based on interactive user evaluation of model outputs and genetic algorithms, which progressively modify the solution set by mimicking the evolutionary behavior of biological systems (selection, cross-over and mutation), until an acceptable result is achieved. The interactive atlas will be applied to Australian and international case studies.Read moreRead less
Designing Distributed Intrusion Detection Systems for Critical Industrial Infrastructures. SCADA systems are computerized systems that control and monitor industrial and critical infrastructures, such as power grid, gas and water facilities and nuclear power plants. Many cyber-attacks on SCADA systems make such systems vulnerable. Also there is an increasing risk that SCADA vulnerabilities could be exploited by terrorist organizations. The security of SCADA systems of critical infrastructures ha ....Designing Distributed Intrusion Detection Systems for Critical Industrial Infrastructures. SCADA systems are computerized systems that control and monitor industrial and critical infrastructures, such as power grid, gas and water facilities and nuclear power plants. Many cyber-attacks on SCADA systems make such systems vulnerable. Also there is an increasing risk that SCADA vulnerabilities could be exploited by terrorist organizations. The security of SCADA systems of critical infrastructures has enormous and direct impact to our national security, economy and social life because of potential disasters that could happen from natural causes as well as malicious attacks. This project aims to investigate the relevant issues and provide efficient and reliable technological solutions to detect and prevent such problems.Read moreRead less
Design surface feature recognition for near net shaped manufactured components. The aim of this project is to investigate methods and techniques that, given an ab initio design requirement, allow databases of knowledge from previous designs to be intelligently searched for similar patterns, both geometric and physical state, that will assess the likelihood of a successful design and suggest potential alternatives based on previous experience
The plan is to approach the research problem from a m ....Design surface feature recognition for near net shaped manufactured components. The aim of this project is to investigate methods and techniques that, given an ab initio design requirement, allow databases of knowledge from previous designs to be intelligently searched for similar patterns, both geometric and physical state, that will assess the likelihood of a successful design and suggest potential alternatives based on previous experience
The plan is to approach the research problem from a machine learning/pattern recognition point of view. By mapping the characterized properties into a search space of reduced dimensionality in which feature patterns have been pre-classified through supervised training, it should be possible to identify similar features.
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Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0347079
Funder
Australian Research Council
Funding Amount
$160,000.00
Summary
Surface and strain measurement facilities for the investigation of intelligent CAD approaches. The basis of machine learning approaches is the ability to learn or train a system from data gathered through experiments or experience. A major short coming in the development and application of such methods is the lack of good quantitative data. Here we propose the acquisition of dimensional and strain measurement facilities that will allow the investigation of such methods in the context of manufact ....Surface and strain measurement facilities for the investigation of intelligent CAD approaches. The basis of machine learning approaches is the ability to learn or train a system from data gathered through experiments or experience. A major short coming in the development and application of such methods is the lack of good quantitative data. Here we propose the acquisition of dimensional and strain measurement facilities that will allow the investigation of such methods in the context of manufacturing - in particular sheet metal components for the automotive industry. The facilities will enable a database of dimensional and strain information to be established in support of related manufacturing R&D projects.Read moreRead less