An automated 3D model-based object recognition system. A novel, practical 3D vision system is proposed as a platform for fundamental applied research in 3D data acquisition, object modelling and object recognition. The significance of the vision system lies in the advancement of knowledge in three key areas of computer vision, registration, recognition and error propagation. The result is a system capable of sensing, modelling and identifying arbitrarily shaped free-form objects in a scene, an a ....An automated 3D model-based object recognition system. A novel, practical 3D vision system is proposed as a platform for fundamental applied research in 3D data acquisition, object modelling and object recognition. The significance of the vision system lies in the advancement of knowledge in three key areas of computer vision, registration, recognition and error propagation. The result is a system capable of sensing, modelling and identifying arbitrarily shaped free-form objects in a scene, an attribute lacking in current systems. Such a system can provide substantial economic benefits to industrial procedures such as grasp planning and quality control.Read moreRead less
Special Research Initiatives - Grant ID: SR0354575
Funder
Australian Research Council
Funding Amount
$30,000.00
Summary
Earth and Ocean Informatics and Technology Network (EON-ITnet). Sustainable resource exploration and mining onshore, as well as marine planning, exploration, and defence depend on effective cross-disciplinary investigation, sharing of expertise and technologies for integration and computational analysis of multidimensional data spaces. EON-ITNET will cross-fertilise the use of artificial intelligence, advanced computing and smart information sharing for management, analysis, visualisation and me ....Earth and Ocean Informatics and Technology Network (EON-ITnet). Sustainable resource exploration and mining onshore, as well as marine planning, exploration, and defence depend on effective cross-disciplinary investigation, sharing of expertise and technologies for integration and computational analysis of multidimensional data spaces. EON-ITNET will cross-fertilise the use of artificial intelligence, advanced computing and smart information sharing for management, analysis, visualisation and metadata modelling between these traditionally separate research groups, with the outcome of improving research efficiency and lowering costs. EON-ITNET will form an alliance with the Caltech-based GeoFramework, which is advancing a novel object-oriented data analysis environment, binding community software for Earth visualisation and simulation to 4D data bases.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC150100019
Funder
Australian Research Council
Funding Amount
$4,571,797.00
Summary
ARC Training Centre for Liquefied Natural Gas Futures. ARC Training Centre for Liquefied Natural Gas Futures. This training centre aims to deliver projects and training to enable future Australian Liquefied Natural Gas (LNG) production from reserves in deep water, at small or remote on-shore locations, with greater efficiency, less environmental impact, and at lower cost than currently possible. This should be accomplished via research projects undertaken by the PhD students and research fellows ....ARC Training Centre for Liquefied Natural Gas Futures. ARC Training Centre for Liquefied Natural Gas Futures. This training centre aims to deliver projects and training to enable future Australian Liquefied Natural Gas (LNG) production from reserves in deep water, at small or remote on-shore locations, with greater efficiency, less environmental impact, and at lower cost than currently possible. This should be accomplished via research projects undertaken by the PhD students and research fellows with guidance from the centre’s industrial partners. The centre’s expected legacy is a unique research and training facility, designed for future integration into a microscale LNG plant. The anticipated research and training outcomes will help to ensure Australia plays a leading role in future global LNG developments.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100090
Funder
Australian Research Council
Funding Amount
$250,000.00
Summary
Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object ....Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object recognition in images, speech recognition and automatic translation, bringing the prospect of machine intelligence closer than ever. Modern machine learning techniques have had huge impact in the last decade in fields such as robotics, computer vision and data analytics. The facility would enable Australian researchers to develop, learn and apply deep networks to problems of national importance in robotic vision and big data analytics. Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH170100013
Funder
Australian Research Council
Funding Amount
$2,962,655.00
Summary
ARC Research Hub for Digital Enhanced Living. The ARC Research Hub for Digital Enhanced Living aims to address the growing challenges of aging people living in their own home or residential care. This will be through inventing new personalised medical technologies through an innovative approach, with a multi-disciplinary team leveraging diverse expertise. An enhanced capacity to create and deploy fit-for-purpose personalised health solutions will result in revenues from new and repurposed device ....ARC Research Hub for Digital Enhanced Living. The ARC Research Hub for Digital Enhanced Living aims to address the growing challenges of aging people living in their own home or residential care. This will be through inventing new personalised medical technologies through an innovative approach, with a multi-disciplinary team leveraging diverse expertise. An enhanced capacity to create and deploy fit-for-purpose personalised health solutions will result in revenues from new and repurposed devices, analytics and integration platforms. New jobs and improved care will see cost reductions, better use of resources and enhanced mental, physical and social well-being.Read moreRead less
Rethinking auditory alarms. This project aims to investigate whether auditory displays that give listeners background information about the status of monitored processes will lead to better situation awareness than conventional auditory alarms. Recent efforts to combat alarm fatigue by reducing auditory alarms may cause listeners to lose awareness of early process deterioration and its context. This project will investigate benefits of intermittent displays summarising process status with sound ....Rethinking auditory alarms. This project aims to investigate whether auditory displays that give listeners background information about the status of monitored processes will lead to better situation awareness than conventional auditory alarms. Recent efforts to combat alarm fatigue by reducing auditory alarms may cause listeners to lose awareness of early process deterioration and its context. This project will investigate benefits of intermittent displays summarising process status with sound or time-compressed speech while participants perform specific ongoing tasks. Anticipated outcomes are safer, more effective and better tolerated ways of monitoring processes than conventional auditory alarms. Results apply to healthcare, transportation and process industries.Read moreRead less
Reducing direct greenhouse gas emissions from urban wastewater systems. This project aims to develop a systematic framework for water utilities to monitor and reduce direct greenhouse gas (GHG) emissions from wastewater systems. A standardised monitoring protocol will be developed to conduct an unprecedented nationwide sampling campaign. The obtained data, with microbial characterisation and mechanism analysis, will be used to develop novel models for accurate prediction of GHG emissions. Expect ....Reducing direct greenhouse gas emissions from urban wastewater systems. This project aims to develop a systematic framework for water utilities to monitor and reduce direct greenhouse gas (GHG) emissions from wastewater systems. A standardised monitoring protocol will be developed to conduct an unprecedented nationwide sampling campaign. The obtained data, with microbial characterisation and mechanism analysis, will be used to develop novel models for accurate prediction of GHG emissions. Expected outcomes include protocol to accurately monitor emissions, models to predict emission under various conditions, and mitigation guideline for typical plant configurations. The anticipated benefit is a significant reduction in GHG emissions from urban water industry and support it to meet net-zero-emission goal by 2050.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100422
Funder
Australian Research Council
Funding Amount
$386,637.00
Summary
Feasible quantification of greenhouse gas emitted from wastewater treatment. This project aims to develop an accurate and practical approach to quantify greenhouse gas (GHG) emissions from wastewater treatment. Australian water utilities have pledged to net-zero emissions. However, most utilities do not know its actual emissions due to lack of feasible quantification method. This project will apply an interdisciplinary approach via mechanism investigations, mathematical modelling, and field work ....Feasible quantification of greenhouse gas emitted from wastewater treatment. This project aims to develop an accurate and practical approach to quantify greenhouse gas (GHG) emissions from wastewater treatment. Australian water utilities have pledged to net-zero emissions. However, most utilities do not know its actual emissions due to lack of feasible quantification method. This project will apply an interdisciplinary approach via mechanism investigations, mathematical modelling, and field works to develop and validate a new feasible quantification method. This project will also advance knowledge on GHG emissions to guide quantification design. The outcomes will be translated into industry protocols and disseminated into industry. The outcomes provide timely support to water sector on its pathway to net-zero.Read moreRead less
Special Research Initiatives - Grant ID: SR0354735
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
Australian Network on Microelectronics, Optoelectronics and Microelectromechanical Systems. The Network will encompass semiconductor microelectronics, optoelectronics, sensors and microelectromechanical systems (MEMS). Fundamental research in these areas enables the technological advances that underpin rapidly developing industries such as information and telecommunications technologies, defence, aerospace, medicine, and remote sensing. Exciting challenges exist in designing new devices that exp ....Australian Network on Microelectronics, Optoelectronics and Microelectromechanical Systems. The Network will encompass semiconductor microelectronics, optoelectronics, sensors and microelectromechanical systems (MEMS). Fundamental research in these areas enables the technological advances that underpin rapidly developing industries such as information and telecommunications technologies, defence, aerospace, medicine, and remote sensing. Exciting challenges exist in designing new devices that exploit unique semiconductor systems and technologies. By sharing capabilities and resources (both capital and human), the network will enable the issues associated with such novel materials and devices to be addressed in a targeted manner. The network will also guarantee the ongoing future of research in the area by actively involving early career researchers and postgraduate students.Read moreRead less