Particle deposition in the human lung - Computer Aided Design. Inhaled particles can cause a variety pulmonary injuries and diseases such as asthma, bronchitis and chronic obstructive pulmonary disease (COPD) etc. A limited multiple-path model will be employed to simulate efficiencies of particle deposition in the human lung. The model developed in this work is different from other available models in that it is based on an asymmetrical branching network for first three generations. This project ....Particle deposition in the human lung - Computer Aided Design. Inhaled particles can cause a variety pulmonary injuries and diseases such as asthma, bronchitis and chronic obstructive pulmonary disease (COPD) etc. A limited multiple-path model will be employed to simulate efficiencies of particle deposition in the human lung. The model developed in this work is different from other available models in that it is based on an asymmetrical branching network for first three generations. This project aims to assist people to monitor atmospheric quantity and assess the risk of deposition of particles. A new commercial code will be developed as new marketable software packages.Read moreRead less
Dynamic Scheduling and Stochastic Control for Sensor Networks. Sensor networks are rapidly becoming important in applications from environmental monitoring, navigation to border surveillance. However, due to bandwidth constraints, even very simple networks have proven to be very complex to properly control. It is now necessary to efficiently allocate the 'limited available bandwidth' to sensors in order to share the most valuable data over the network. Therefore, this project proposes new techn ....Dynamic Scheduling and Stochastic Control for Sensor Networks. Sensor networks are rapidly becoming important in applications from environmental monitoring, navigation to border surveillance. However, due to bandwidth constraints, even very simple networks have proven to be very complex to properly control. It is now necessary to efficiently allocate the 'limited available bandwidth' to sensors in order to share the most valuable data over the network. Therefore, this project proposes new techniques using concepts of dynamic sensor scheduling and stochastic control to provide computationally feasible and near optimal solutions to the limited and varying bandwidth problem. This work will greatly enhance the operational performance of distributed sensor networks.Read moreRead less
Intelligent Collaborative Care Management. The project will provide the basis for new models of consumer care in both social and commercial settings. In a commercial setting, customer care means looking after the customer, with the hope of retaining their business. By developing a formal model of evidence-based care, together with the information technologies to implement this model, the project will result in higher quality, safer, more efficient and more effective care. This will produce si ....Intelligent Collaborative Care Management. The project will provide the basis for new models of consumer care in both social and commercial settings. In a commercial setting, customer care means looking after the customer, with the hope of retaining their business. By developing a formal model of evidence-based care, together with the information technologies to implement this model, the project will result in higher quality, safer, more efficient and more effective care. This will produce significant economic and social benefits for Australia across a wide range of service industries. The project will also generate export opportunities for information technology services and products in health care and other service industries. In addition, it will drive collaboration with leading global businesses, providing new paths to market for Australian research, technologies and innovations.Read moreRead less
Determination of lung morphology from X-ray phase contrast radiographs. Current methods of imaging the lung rely heavily on low contrast images obtained with chest radiography or computed tomography. This research will develop new X-ray phase contrast imaging techniques capable of providing a tenfold contrast increase over conventional chest radiography at a fraction of the X-ray dose of computed tomography. Methods of extracting quantitative information on lung morphology and pathology from pha ....Determination of lung morphology from X-ray phase contrast radiographs. Current methods of imaging the lung rely heavily on low contrast images obtained with chest radiography or computed tomography. This research will develop new X-ray phase contrast imaging techniques capable of providing a tenfold contrast increase over conventional chest radiography at a fraction of the X-ray dose of computed tomography. Methods of extracting quantitative information on lung morphology and pathology from phase contrast chest radiographs will be developed during this research. Eventual outcomes are likely to lead to improved methods of detecting lung disease and injury for both biomedical and clinical studies.Read moreRead less
Computational techniques for protease research. Protease research is an area of intensive research in Australia. Correctly assessing the mechanisms of protease function is crucial not only for improving our health through medical research and drug development, but also to multiple national areas of research and development, including biotechnology, agriculture, and industries such as the dairy industry. This project will develop innovative computational techniques to advance understanding of h ....Computational techniques for protease research. Protease research is an area of intensive research in Australia. Correctly assessing the mechanisms of protease function is crucial not only for improving our health through medical research and drug development, but also to multiple national areas of research and development, including biotechnology, agriculture, and industries such as the dairy industry. This project will develop innovative computational techniques to advance understanding of how proteases function by redressing a common research assumption that can significantly affect the accuracy of protease function prediction. The outcomes will improve fundamental research into proteases, and enable improved research and development in the many fields that rely on protease work.Read moreRead less
Understanding cortical processing: Neuronal activity and learning in recurrently connected networks. This project addresses fundamental cross-disciplinary issues of information processing and control in large-scale biological neural systems. This is an area of research that is at the cutting edge of intelligent processing systems. An understanding of these mechanisms would have considerable implications in areas that span a range of complex biological and artificial neural systems, including the ....Understanding cortical processing: Neuronal activity and learning in recurrently connected networks. This project addresses fundamental cross-disciplinary issues of information processing and control in large-scale biological neural systems. This is an area of research that is at the cutting edge of intelligent processing systems. An understanding of these mechanisms would have considerable implications in areas that span a range of complex biological and artificial neural systems, including the rapidly growing fields of robotics, machine learning, and adaptive control, all with applications in diverse areas of economic importance. The project will provide students with training at an international level within Australia, thus helping ensure Australia maintains and extends its science and technology base.Read moreRead less
Special Research Initiatives - Grant ID: SR0563610
Funder
Australian Research Council
Funding Amount
$111,115.00
Summary
Developing an E-Platform for Application of Clinical Management in the Human Respiratory and Vascular System. This project aims to develop an E-PLATFORM that will provide a simulation-based virtual reality environment for clinical management and therapy treatment in the human respiratory and vascular system. One significant feature of the expected outcomes is the ability for surgeon or physician to adequately plan their treatment or operation decision-making of respiratory or vascular disease, i ....Developing an E-Platform for Application of Clinical Management in the Human Respiratory and Vascular System. This project aims to develop an E-PLATFORM that will provide a simulation-based virtual reality environment for clinical management and therapy treatment in the human respiratory and vascular system. One significant feature of the expected outcomes is the ability for surgeon or physician to adequately plan their treatment or operation decision-making of respiratory or vascular disease, in particular, from the point of view of flow analysis using state-of-the-art computational fluid dynamics techniques. This research proposal aims to facilitate new medical research and development for treatment of respiratory and/or vascular diseases, which can have a great socioeconomic benefit to the Australian community.Read moreRead less