Robust Reformulation Methods. Many decision problems in engineering, business and economics are modeled as nonlinear continuous optimization problems. Often these are made difficult by the existence of constraints. In this project, we reformulate such problems as constrained nonsmooth equations, rather than optimization problems, and develop generalized Newton and quasi-Newton methods for solving them. The expected outcomes of this project include a systematic theory of reformulation methods, ....Robust Reformulation Methods. Many decision problems in engineering, business and economics are modeled as nonlinear continuous optimization problems. Often these are made difficult by the existence of constraints. In this project, we reformulate such problems as constrained nonsmooth equations, rather than optimization problems, and develop generalized Newton and quasi-Newton methods for solving them. The expected outcomes of this project include a systematic theory of reformulation methods, and robust and efficient algorithms for solving some important nonlinear continuous optimization problems. There is high potential for applications in engineering, business and finance.Read moreRead less
Modelling the structure of Australian wool auction prices. Australian wool auction ($3.5-4 billions per year) is an on-going process. The prices paid in this auction market are used by the Australian production and service sectors to identify the quality preferences the international retail markets and the intermediate processors. The proposed research will optimise the information that can be extracted and used by these sectors in the production and distribution of the raw wool clip. A two- ....Modelling the structure of Australian wool auction prices. Australian wool auction ($3.5-4 billions per year) is an on-going process. The prices paid in this auction market are used by the Australian production and service sectors to identify the quality preferences the international retail markets and the intermediate processors. The proposed research will optimise the information that can be extracted and used by these sectors in the production and distribution of the raw wool clip. A two-stages algorithm in tree-based regression will be developed. The project will provide a challenge environment to train a Ph.D. student in agriculture modelling and optimisation.Read moreRead less
Scalable Robust Video Surveillance over Constrained Networks. Real-time monitoring of large numbers of people is becoming increasingly important for applications such as efficient service delivery and security against both common crime and terrorism. The use of human operators for such tasks is infeasible due to the large amount of data collected. Existing autonomous video surveillance systems are prone to high numbers of false alarms and often require expensive hardware. This proposal seeks ....Scalable Robust Video Surveillance over Constrained Networks. Real-time monitoring of large numbers of people is becoming increasingly important for applications such as efficient service delivery and security against both common crime and terrorism. The use of human operators for such tasks is infeasible due to the large amount of data collected. Existing autonomous video surveillance systems are prone to high numbers of false alarms and often require expensive hardware. This proposal seeks to address both difficulties by using rigorous statistical signal processing methods to optimally fuse information from a network of low-cost cameras.Read moreRead less
Stochastic Geometry for Multi-sensor Data Fusion System. The aim of this project is to develop efficient algorithms for tracking and sensor management in a multi-sensor multi-target environment. Finite random set theory provides a natural way of representing a random number of (random) object states, an issue that has been largely ignored in the tracking literature until recently. Although a satisfactory foundation for multiple object filtering has been provided by random set theory, in this ear ....Stochastic Geometry for Multi-sensor Data Fusion System. The aim of this project is to develop efficient algorithms for tracking and sensor management in a multi-sensor multi-target environment. Finite random set theory provides a natural way of representing a random number of (random) object states, an issue that has been largely ignored in the tracking literature until recently. Although a satisfactory foundation for multiple object filtering has been provided by random set theory, in this early stage no algorithm capable of tracking many targets has emerged from this framework. We are confident that efficient algorithms can be developed by exploiting the insights and mathematical tools of stochastic geometryRead moreRead less
Design and fabrication of custom titanium implant scaffolds produced by selective laser melting. The development of implants that can be tailored to match individual patient requirements will result in increased functionality and longevity of the device, decreased pain and suffering and a reduction in hospitalisation time and medical costs. This is especially true where massive bone loss has occurred. Research in this area is vital to underpin Australian technological progress in a field of ris ....Design and fabrication of custom titanium implant scaffolds produced by selective laser melting. The development of implants that can be tailored to match individual patient requirements will result in increased functionality and longevity of the device, decreased pain and suffering and a reduction in hospitalisation time and medical costs. This is especially true where massive bone loss has occurred. Research in this area is vital to underpin Australian technological progress in a field of rising economic and social importance, especially given Australia's aging population. The project will strengthen expertise in materials science and mathematical optimization. Further, the coupling of these fields will allow Australian scientists and technologists to exploit the full potential of solid freeform fabrication in new applications.Read moreRead less
Optimum Multi-rate Filter Bank Design for Speech Enhancement and Communication Systems. Multi-rate signal processing is gaining more and more importance in signal processing applications such as echo cancellation, microphone arrays, speech enhancement and equalisation. This project is aimed at obtaining high performance and high efficiency multi-rate processing designs by developing appropriate problem formulations based on solid mathematical foundations so that powerful optimisation techniques ....Optimum Multi-rate Filter Bank Design for Speech Enhancement and Communication Systems. Multi-rate signal processing is gaining more and more importance in signal processing applications such as echo cancellation, microphone arrays, speech enhancement and equalisation. This project is aimed at obtaining high performance and high efficiency multi-rate processing designs by developing appropriate problem formulations based on solid mathematical foundations so that powerful optimisation techniques can be applied. The developed multi-rate systems will result in low complexity and low power hardware implementations without significant compromise in performance in each application. Size and cost sensitive of communication devices such as personal data assistants, mobile telephones, hands-free devices, and laptops will benefit greatly from the outcome of the project.Read moreRead less
A Robust Optimization Technique for Identifying Geomechanical Parameters Using In-situ Measurements. The aim of this project is to develop a robust optimisation technique for identifying geomechanical parameters for subsequent stability analysis of rock structures in particular open pits. The development involves a novel solution method based on current work in finite element method and large-scale optimisation with partial differential equation constraints. The outcomes of the project will prov ....A Robust Optimization Technique for Identifying Geomechanical Parameters Using In-situ Measurements. The aim of this project is to develop a robust optimisation technique for identifying geomechanical parameters for subsequent stability analysis of rock structures in particular open pits. The development involves a novel solution method based on current work in finite element method and large-scale optimisation with partial differential equation constraints. The outcomes of the project will provide a sophisticated numerical technique for geotechnical engineers/scientists to determine geomechanical parameters accurately from in-situ observation and displacement measurements, leading to the optimal design of rock structures in subsequent analysis.Read moreRead less
Simulation Technology for Modelling Extreme Bushfire Behaviour. Extreme fires cause immeasurable damage to communities through destruction of homes and damage to infrastructure. Large, highly intense fires reduce biodiversity, take decades for recovery, increase greenhouse gas emissions and reduce carbon storage capacity. Climate change is likely to increase the frequency of extreme fire weather increasing the need for reliable fire spread prediction under extreme conditions and to reduce impa ....Simulation Technology for Modelling Extreme Bushfire Behaviour. Extreme fires cause immeasurable damage to communities through destruction of homes and damage to infrastructure. Large, highly intense fires reduce biodiversity, take decades for recovery, increase greenhouse gas emissions and reduce carbon storage capacity. Climate change is likely to increase the frequency of extreme fire weather increasing the need for reliable fire spread prediction under extreme conditions and to reduce impact by preparedness and suppression. Incorporating an evidence-based fire spread model into a fire location forecasting system will give fire agencies early warning of potentially disastrous fires, enable early response to prevent fires and mitigate the consequence to life, property and the environment. Read moreRead less
ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing. Sensor networks, a collection of diverse sensors interconnected via an ad-hoc communication network, are identified as one of the key technologies that over the next two decades will change the way we live. This research network brings together an interdisciplinary team of outstanding Australian researchers representing all the key disciplines required to successfully deploy sensor networks and links this te ....ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing. Sensor networks, a collection of diverse sensors interconnected via an ad-hoc communication network, are identified as one of the key technologies that over the next two decades will change the way we live. This research network brings together an interdisciplinary team of outstanding Australian researchers representing all the key disciplines required to successfully deploy sensor networks and links this team with the foremost international authorities and leading industry players in the area of sensor networks. This research network will guide collaborative research that will ensure Australia to play a world leading role in sensor network development and implementation.
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Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0346878
Funder
Australian Research Council
Funding Amount
$190,000.00
Summary
GeoWulf: An Inference Engine for Complex Earth Systems. The project is to build a `Beowulf' cluster as a platform for solving
complex data inference problems in the Earth sciences, and in
particular the fields of thermochronology, seismology, crustal and
mantle dynamics, and landform evolution. A Beowulf cluster is a
network-linked set of commonly available `off-the-shelf' PC-computers
configured to give unprecedented performance/cost ratio. Projects
using the Beowulf facility will combine ....GeoWulf: An Inference Engine for Complex Earth Systems. The project is to build a `Beowulf' cluster as a platform for solving
complex data inference problems in the Earth sciences, and in
particular the fields of thermochronology, seismology, crustal and
mantle dynamics, and landform evolution. A Beowulf cluster is a
network-linked set of commonly available `off-the-shelf' PC-computers
configured to give unprecedented performance/cost ratio. Projects
using the Beowulf facility will combine state-of-the-art computational
techniques recently developed at ANU, and high quality data sets
collected over the past decade to address fundamental questions in
the Geosciences.Read moreRead less