Computational tools to analyse and exploit the social media revolution. We aim to create technologies to analyse social media communities, which are rapidly growing in reach, complexity, and content produced and shared. Powerful techniques to tap this resource will lead to commercial outcomes for marketing and search industries, alongside deeper insight into the cultural and social impact of this Internet revolution.
Crowd tracking and visual analytics for rapidly deployable imaging devices. Crowd tracking and visual analytics for rapidly deployable imaging devices. This project aims to develop visual analytics technology that adds machine intelligence to a rapidly deployable time-lapse imaging platform. Such devices can operate on solar and wind power, and be remotely programmed (via a cellular network) to take photos and send them to a server at given times. This project, which focuses on monitoring crowds ....Crowd tracking and visual analytics for rapidly deployable imaging devices. Crowd tracking and visual analytics for rapidly deployable imaging devices. This project aims to develop visual analytics technology that adds machine intelligence to a rapidly deployable time-lapse imaging platform. Such devices can operate on solar and wind power, and be remotely programmed (via a cellular network) to take photos and send them to a server at given times. This project, which focuses on monitoring crowds of objects of interest, is expected to introduce “smart” imaging platforms that could be triggered and shoot high-quality photographs when “events of interest” occur. This project could make Australia both a world leader in video analytics and secure through on-line threat detection, and improve traffic control and agriculture.Read moreRead less
Assistive technologies for autism support harnessing social media. This project aims to tap social media to revolutionize early intervention therapy for children with autism. By creating open, extensible software for therapy delivery, and tools for parents to access high quality information and support, we will provide children a greater chance to achieve their potential and much-needed relief for parents and carers.
Assistive technologies for Autism support. Growing numbers of children are diagnosed with Autism Spectrum Disorder, leading to a massive financial burden on educational, medical and social service systems. This project aims to construct technological solutions to ease this cost with software frameworks for both children and parents. These novel tools and techniques address key issues: personalisation of early intervention, extension of interventions in alternate contexts, and parental support th ....Assistive technologies for Autism support. Growing numbers of children are diagnosed with Autism Spectrum Disorder, leading to a massive financial burden on educational, medical and social service systems. This project aims to construct technological solutions to ease this cost with software frameworks for both children and parents. These novel tools and techniques address key issues: personalisation of early intervention, extension of interventions in alternate contexts, and parental support through analysis of social media. The outcomes aim to include algorithms and prototype applications for flexible early intervention and support for parents and carers, including evaluation of the developed tools in real-world settings.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
Eliminating Hepatitis C Transmission By Enhancing Hepatitis C Care And Treatment In Primary Health Care Settings.
Funder
National Health and Medical Research Council
Funding Amount
$1,221,831.00
Summary
In developed countries, people who inject drugs (PWID) are the group at greatest risk of hepatitis C (HCV) infection but few PWID receive HCV treatment. With the advent of highly effective non-interferon based treatments HCV elimination, although ambitious, is now being seriously considered globally. This partnership grant will explore the feasibility of eliminating HCV transmission by enhancing HCV care and treatment for PWID in primary health care settings.
A theoretical framework for practical partial fingerprint identification. Fingerprints captured from a crime scene are often partial and poor quality which makes it difficult to identify the criminal suspects from large databases. This project will find mathematical models which can estimate the missing information located in the blank areas of a partial fingerprint and effectively identify it.
Optimal management of corrosion and odour problems in sewer systems. Pollutants in wastewater undergo complex changes in sewers, leading to the production and release of odorous and corrosive compounds. Despite major efforts and expenditure by water utilities to mitigate these problems, odorous emissions from sewers are still commonly occurring in urban areas. Furthermore, the value of public assets is significantly diminished due to sewer corrosion, costing hundreds of millions of dollars a yea ....Optimal management of corrosion and odour problems in sewer systems. Pollutants in wastewater undergo complex changes in sewers, leading to the production and release of odorous and corrosive compounds. Despite major efforts and expenditure by water utilities to mitigate these problems, odorous emissions from sewers are still commonly occurring in urban areas. Furthermore, the value of public assets is significantly diminished due to sewer corrosion, costing hundreds of millions of dollars a year in Australia alone. This project is a major joint effort by the Australian water industry and world-leading scientists to generate advanced knowledge and develop effective technologies for optimal odour and corrosion management in sewers, delivering large social, environmental and economic benefits.Read moreRead less
Understanding and mitigating nitrous oxide emission from wastewater treatment plants. Climate change caused by greenhouse gas emissions is one of the most serious challenges that mankind is facing. Substantial reduction in emissions must be achieved, with responsibility to be shared by all industrial sectors. Wastewater systems contribute to greenhouse gas emissions through not only energy consumptions but also direct emissions of fugitive greenhouse gases such as nitrous oxide. This project aim ....Understanding and mitigating nitrous oxide emission from wastewater treatment plants. Climate change caused by greenhouse gas emissions is one of the most serious challenges that mankind is facing. Substantial reduction in emissions must be achieved, with responsibility to be shared by all industrial sectors. Wastewater systems contribute to greenhouse gas emissions through not only energy consumptions but also direct emissions of fugitive greenhouse gases such as nitrous oxide. This project aims to provide knowledge and technology support to the Australian wastewater industry to minimize the emission of nitrous oxide during biological nitrogen removal from wastewater. This is critically important for this industry to achieve greenhouse gas neutral wastewater management.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