Taming the uncertainty in trajectory data. This project aims to develop effective and efficient methods to manage large scale uncertain trajectory data. It provides individuals, business, government and social groups the ability to explore significant uncertain trajectories and their patterns, for important usages in location based services, logistic, transportation and tourism.
Indexing Large Video Databases to Support Efficient Query Processing. This project aims to develop breakthrough database technology that leverages the advances in video data capturing, computer vision based object recognition, multimedia tagging, large scale database systems and parallel processing, to provide the capability of managing massive video data with enriched semantic information and enabling database-like flexible and efficient video information search. It is expected to establish a n ....Indexing Large Video Databases to Support Efficient Query Processing. This project aims to develop breakthrough database technology that leverages the advances in video data capturing, computer vision based object recognition, multimedia tagging, large scale database systems and parallel processing, to provide the capability of managing massive video data with enriched semantic information and enabling database-like flexible and efficient video information search. It is expected to establish a new data management and processing foundation for big video data analytics.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE180100158
Funder
Australian Research Council
Funding Amount
$348,026.00
Summary
A large-scale distributed experimental facility for the internet of things. This project aims to establish a large-scale, real-world experimental facility for the Internet of Things (IoT), which is currently missing in Australia, as well as in the rest of the world. The project is expected to be an essential instrument to achieve Australia’s leadership on key enabling technologies of the IoT, and to provide Australian research community with a unique platform for large-scale experimentation and ....A large-scale distributed experimental facility for the internet of things. This project aims to establish a large-scale, real-world experimental facility for the Internet of Things (IoT), which is currently missing in Australia, as well as in the rest of the world. The project is expected to be an essential instrument to achieve Australia’s leadership on key enabling technologies of the IoT, and to provide Australian research community with a unique platform for large-scale experimentation and evaluation of IoT technologies and services. The project will also serve as a vehicle for the education and training of Australia’s next generation of scholars and engineers, and contribute to Australia’s scientific visibility.Read moreRead less
Special Research Initiatives - Grant ID: SR0354476
Funder
Australian Research Council
Funding Amount
$20,000.00
Summary
Intelligent Applications Through The Semantic Web. The primary aim of the proposed bid is to build a network of Australian researchers and their international peers for condresearch into the fundamental as well as applied aspects of the Semantic Web. By incorporating meaning of web-content in a form that can be accessed and processed by intelligent software agents, the Semantic Web will allow computers and humans to work in cooperation. This research will address the needs of both the Australian ....Intelligent Applications Through The Semantic Web. The primary aim of the proposed bid is to build a network of Australian researchers and their international peers for condresearch into the fundamental as well as applied aspects of the Semantic Web. By incorporating meaning of web-content in a form that can be accessed and processed by intelligent software agents, the Semantic Web will allow computers and humans to work in cooperation. This research will address the needs of both the Australian government and industry that provide and make smart use of information available on the Web. It will ensure Australian preparedness for the next-generation web technology.Read moreRead less
Bio-Acoustic Observatory: Engaging Birdwatchers to Monitor Biodiversity by Collaboratively Collecting and Analysing Big Audio Data. This project will research how to crowd-source the collection and analysis of environmental animal sounds (for example, birds, frogs). This will enable a bio-acoustic observatory which provides a scalable, objective and permanent record of the environment, something hitherto impossible. The project will investigate how to engage the community of birdwatchers to exte ....Bio-Acoustic Observatory: Engaging Birdwatchers to Monitor Biodiversity by Collaboratively Collecting and Analysing Big Audio Data. This project will research how to crowd-source the collection and analysis of environmental animal sounds (for example, birds, frogs). This will enable a bio-acoustic observatory which provides a scalable, objective and permanent record of the environment, something hitherto impossible. The project will investigate how to engage the community of birdwatchers to extend their pastime online with new kinds of interactive tools to enable collaborative analysis of big audio data, and new kinds of birding experiences. Outcomes will be: new approaches to physical/virtual engagement in human-computer interaction; new approaches to analysing big data; a new validated ecological monitoring technique and concepts for sustainable knowledge generation communities.Read moreRead less
In-memory moving objects analytics for real-time business applications. This project aims to develop a novel computing foundation based on in-memory technologies to address significant challenges of big data and location-based business intelligence, building upon the well-recognised research excellence in spatiotemporal data management at the University of Queensland, and HANA, SAP's (Systems, Applications, Products in data processing) new in-memory analytics platform.