18397 research outputs found
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Quantifying the Accuracy of Microcomb-Based Photonic RF Transversal Signal Processors
No full textPhotonic RF transversal signal processors, which are equivalent to reconfigurable electrical digital signal processors but implemented with photonic technologies, are attractive for high-speed information processing. Optical microcombs are extremely powerful as sources for RF photonics since they can generate many wavelength channels from compact micro-resonators, offering greatly reduced size, power consumption, and complexity. Recently, a variety of signal processing functions have been demonstrated using microcomb-based photonic RF transversal signal processors. Here, we provide a detailed analysis for quantifying the processing accuracy of microcomb-based photonic RF transversal signal processors. First, we investigate the theoretical limitations of the processing accuracy determined by tap number, signal bandwidth, and pulse waveform. Next, we discuss the practical error sources from different experimental components of the signal processors. Finally, we assess the relative contributions of the two to the overall accuracy. We find that the overall accuracy is mainly limited by experimental factors when the processors are properly designed to minimize the theoretical limitations, and that these remaining errors can be further greatly reduced by introducing feedback control to calibrate the processors' impulse response. These results provide a useful guide for designing microcomb-based photonic RF transversal signal processors to optimize their accuracy
Investigation on heat transfer of solar-sintered regolith for lunar construction
No full textThe thesis provides a feasible pathway to simulate the radiation and heat transfer of concentrated solar sintering systems, which can be a promising technology used for lunar habitat construction. The work contributes to the body of knowledge by developing a new thermal conductivity model of lunar soil after sintering, since previous studies mostly ignored the effect of high-temperature processing, combining the radiation penetration inside the porous material when it is heated, and characterizing the heat transfer mechanism of sintered lunar soil bed by reproducing the micro-structure and thermal conductivity evolution of the powdered material during the high-temperature treatment
Integrated Visual Management: A Systematic Approach to Organic Continuous Improvement
No full textWhile top-down Continuous Improvement (CI) strategies have received extensive research, bottom-up CI, particularly in its organic form, has received little attention. This study introduces the "Integrated Visual Management” framework (IVM), guiding the design, execution, and embedding of Organic CI. IVM is a bottom-up, process-oriented, project-driven, data-based CI framework. It offers an alternative to the command-and-control management strategies (top-down) and highlights the benefits of empowering employees to drive performance improvements from the bottom of an organisation. This research also offers empirical evidence on the positive relationship between IVM and continual performance improvement. Furthermore, it illustrates IVM's strengths and weaknesses
Leveraging Digital Technologies for Sustainability Reporting (infographic)
No full textAn infographic on use of digital technologies (DTs) for sustainability reporting
Older People's Housing and Housing Precariousness in Tasmania (2011-2021)
No full textNo description availabl
Dark Matter within Simulated Milky Way Analogues and the Subsequent Direct Detection Possibilities on Earth
No full textThis thesis focused on dark matter, a mysterious, invisible material comprising over 80% of our universe, whose true nature remains one of the greatest scientific mysteries. One key way to determine the nature of dark matter is through direct detection experiments which search for a modulating energetic signal produced when dark matter collides with crystal detectors on Earth. This thesis studied how direct detection predictions change when realistic galaxies from supercomputer simulations are used, instead of simplified mathematical models. The findings inform a global range of detectors including the SABRE experiment, housed at the bottom of the Stawell gold mine
Optimal sizing and operation of battery energy storage systems for residential microgrids
No full textThis thesis probes into residential microgrids, focusing on incorporation of solar power and battery energy storage systems. It spotlights the economics of lithium iron phosphate battery technology in residential use, advocating a strategic move to Direct Current power distribution. It promises enhanced energy efficiency and economic returns by suggesting optimization of battery operations and integration of demand-side management. This contributes to societal well-being by promoting green practices, lowering energy costs, and curbing greenhouse gas emissions, fostering energy self-sufficiency. Additionally, it proposes a cutting-edge demand-side management strategy using long short-term memory networks, signaling a leap forward in cost-effective home energy management
Reclaiming The Blue Vague: Activating Urban Waterways To Create A Sense Of Place
No full textThe thesis explores activating the water to manipulate the existing image in a post-industrial setting to address the perception of the boundaries that limit a connection with the water. The research design uses visual methods and an online survey, drawing on affordance theory (Gibson, 2014, Norman, 2013), to analyse responses to the disruption of the blue vague, a term used in this thesis to describe expansive, underutilized post-industrial waterways, prime for activation and integration into the city as a public space. This thesis argues that publicly accessible waterways are critical to a sense of place for post-industrial urban waterway developments
Synthesis of New Carbon Fibre-based Electrode Materials for Structural Energy Storage Composites
No full textElectric vehicles are replacing conventional cars due to zero carbon emissions. So, it helped to make the environment greener. About 1700 Australians die yearly from air pollution, so the Australian government plans to replace 90 % of vehicles with electric vehicles. Initially manufactured electric vehicles have separate energy storage devices that increase the car's weight. This research focused on fabricating carbon fibre-based electrodes and energy storage devices that can also act as car body parts that need very high mechanical properties and energy storage combined. Using an energy storage composite reduced the structure's weight and energy consumption
Artificial Neural Network-based COVID-19 Diagnosis and Prediction
No full textThis thesis focuses on developing extreme learning machine-based learning algorithms and using them to train a convolutional neural network model to detect COVID-19 from chest X-ray image data and optimise the hyperparameters of a long short-term memory-based model to forecast the number of daily new cases infected with COVID-19. The models show excellent performance on both COVID-19 detection and daily new cases prediction. Thus, this thesis will be of great reference if some other pandemics occur in the future