On-line structural integrity assessment of advanced composite airframe with senor network. The project addresses frontier technologies that lead to solutions to one of the critical key issues forming the Australian community - online integrity/safety assessment of structures or asset including aircraft, ships, buildings and bridges. The community benefits significantly if potential disaster due to occurrence of damage associated with those structures can be prevented - the ultimate aim of resear ....On-line structural integrity assessment of advanced composite airframe with senor network. The project addresses frontier technologies that lead to solutions to one of the critical key issues forming the Australian community - online integrity/safety assessment of structures or asset including aircraft, ships, buildings and bridges. The community benefits significantly if potential disaster due to occurrence of damage associated with those structures can be prevented - the ultimate aim of researchers for decades. It is imperative that Australian industries remain technologically ahead of international competitors. Outcomes of the project will lead to novel technologies for real-time structural health monitoring and integrity assessment, bringing significant improvement in operation safety and driving down maintenance cost.Read moreRead less
Smart CMOS Vision Sensors in Deep Sub-0.25um CMOS Technologies. This research project aims to develop a new generation of smart vision sensors featuring on-chip and pixel-level implementation of human vision based algorithms. Built in state-of-the-art deep sub-0.25um CMOS technologies, these imagers will feature extensive in-pixel processing power in contrast to the currently commercially available CMOS vision sensors. This will enable on-chip vision-based decision making but also increased on-c ....Smart CMOS Vision Sensors in Deep Sub-0.25um CMOS Technologies. This research project aims to develop a new generation of smart vision sensors featuring on-chip and pixel-level implementation of human vision based algorithms. Built in state-of-the-art deep sub-0.25um CMOS technologies, these imagers will feature extensive in-pixel processing power in contrast to the currently commercially available CMOS vision sensors. This will enable on-chip vision-based decision making but also increased on-chip image processing. These innovative system-on-chip features will contribute towards the positioning of CMOS imaging technology as the technology of choice for most digital imaging applications, in place of the existing, and so far unchallenged, CCD technology.
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Electronic Auditory Pathway. We will develop electronic building blocks to investigate biological signal processing. In particular, we will investigate the auditory pathway and develop the most accurate electronic model of the biological cochlea and auditory nerve. These will be followed by electronic circuits that model the processing of sensory signals in the brain. Processing signals with neural spikes offers distinct advantages over current analogue and digital signal processing techniques i ....Electronic Auditory Pathway. We will develop electronic building blocks to investigate biological signal processing. In particular, we will investigate the auditory pathway and develop the most accurate electronic model of the biological cochlea and auditory nerve. These will be followed by electronic circuits that model the processing of sensory signals in the brain. Processing signals with neural spikes offers distinct advantages over current analogue and digital signal processing techniques in terms of noise, energy consumption and extraction of temporal information. We will implement the first spike-based models of pitch and timbre perception, and a neural model of speech recognition in noisy environments.Read moreRead less
A 3D CMOS Vision Sensor with Pixel Level Analog-to-Digital Converter and Intelligent Processing. The aim of this research project is to build a smart vision sensor using advanced 3D technology. The smart sensor will consist of two vertically stacked levels comprising the vision sensor chip with pixel-level Analog-to-Digital Converter (ADC) and the processing chip for edge and motion detection. The pixel level ADC will be based on new architectures offering improved performance in terms of dynami ....A 3D CMOS Vision Sensor with Pixel Level Analog-to-Digital Converter and Intelligent Processing. The aim of this research project is to build a smart vision sensor using advanced 3D technology. The smart sensor will consist of two vertically stacked levels comprising the vision sensor chip with pixel-level Analog-to-Digital Converter (ADC) and the processing chip for edge and motion detection. The pixel level ADC will be based on new architectures offering improved performance in terms of dynamic range, fill-factor, and signal-to-noise ratio. Both the vision and the processing chips will be realised in standard CMOS technology, which make the smart vision sensor very suitable for low cost consumer electronic applications.Read moreRead less
Robust Positioning Based on Ultra-Tight Integration of GPS, Pseudolites and Inertial Sensors. The Global Positioning System (GPS) has been becoming an increasingly important part of the world-wide geo-spatial information infrastructure. However, the availability and reliability of GPS positioning are still major challenging issues. This project proposes a new concept of robust positioning based on the ultra-tight integration of GPS, pseudolites and inertial sensor. The expected outcomes include: ....Robust Positioning Based on Ultra-Tight Integration of GPS, Pseudolites and Inertial Sensors. The Global Positioning System (GPS) has been becoming an increasingly important part of the world-wide geo-spatial information infrastructure. However, the availability and reliability of GPS positioning are still major challenging issues. This project proposes a new concept of robust positioning based on the ultra-tight integration of GPS, pseudolites and inertial sensor. The expected outcomes include: 1) a novel sensor integration approach, 2) innovative smart antenna design, 3) efficient algorithms and quality control procedures for signal acquisition and tracking, which can effectively suppress interferences and enhance the weak signal tracking.Read moreRead less
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: SR0354604
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
ARC Network in Imaging Science and Technology. The ARC Network in Imaging Science and Technology is a field of research network covering the fundamental science and technological development of applied imaging systems. The network will encompass all aspects of the imaging sciences from image formation, through image processing and analysis, and on to image visualisation. In particular, the network will focus on a number of application areas that utilise these core technologies: medical imaging; ....ARC Network in Imaging Science and Technology. The ARC Network in Imaging Science and Technology is a field of research network covering the fundamental science and technological development of applied imaging systems. The network will encompass all aspects of the imaging sciences from image formation, through image processing and analysis, and on to image visualisation. In particular, the network will focus on a number of application areas that utilise these core technologies: medical imaging; surveillance and security; materials science and metallurgy; environmental monitoring; and consumer imaging. In this way, the network will provide an environment for creative inter-disciplinary research to the socio-economic benefit of Australia.Read moreRead less
Beamforming with acoustic vector sensors for audio user interfaces. We aim to create new Audio User Interfaces (AUIs) for the automatic separation and annotation of audio from complex sound scenes using acoustic vector sensor beamforming technology. Specifically, we will develop: speech AUIs for noisy, multi-talker, reverberant environments; and sound transcription AUIs for the deaf. Ultimately, users will be able to walk into a room, hold conversations and leave with a searchable, automatically ....Beamforming with acoustic vector sensors for audio user interfaces. We aim to create new Audio User Interfaces (AUIs) for the automatic separation and annotation of audio from complex sound scenes using acoustic vector sensor beamforming technology. Specifically, we will develop: speech AUIs for noisy, multi-talker, reverberant environments; and sound transcription AUIs for the deaf. Ultimately, users will be able to walk into a room, hold conversations and leave with a searchable, automatically-generated transcript of the audio events, tagged with metadata. The application of these technologies will create new possibilities for recording audio in the music, radio, TV industries, and future home based audio communication systems.Read moreRead less
Design of Quantized Feedback for Robust Control Systems. Most modern machineries and industrial processes are manipulated using advanced control technologies. With the recent advances in information technology, more and more control systems operate over communications networks. However, the technologies used in these control systems are seriously lagging behind because they make little assumptions about problems in digital communications. These problems include sampling errors, quantization erro ....Design of Quantized Feedback for Robust Control Systems. Most modern machineries and industrial processes are manipulated using advanced control technologies. With the recent advances in information technology, more and more control systems operate over communications networks. However, the technologies used in these control systems are seriously lagging behind because they make little assumptions about problems in digital communications. These problems include sampling errors, quantization errors, transmission errors and transmission delays. The proposed research will develop a new control theory to address this issue. Our work will help Australia maintain a leading role in the area of control and give the Australian industry advantages in applying modern technologies in control and automation.Read moreRead less
Multi-Ontologies meet UML: Improving the Software Engineering of Multi-Agent Systems. Multi-agent systems are a new style of software well suited for open, dynamic, distributed, global, heterogeneous environments such as the Internet. Systematic methods are needed to allow multi-agent systems to reason effectively with high level knowledge. This research draws on software engineering practice to develop a theory and methodology for multi-ontologies for expressing knowledge within multi-agent sys ....Multi-Ontologies meet UML: Improving the Software Engineering of Multi-Agent Systems. Multi-agent systems are a new style of software well suited for open, dynamic, distributed, global, heterogeneous environments such as the Internet. Systematic methods are needed to allow multi-agent systems to reason effectively with high level knowledge. This research draws on software engineering practice to develop a theory and methodology for multi-ontologies for expressing knowledge within multi-agent systems that facilitate adaptation and change.
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