18397 research outputs found
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Network-Based Cooperative Control of Multiple Unmanned Surface Vehicles
No full textTo unlock new levels of scalability, adaptability, and versatility in sophisticated maritime missions, a particularly intriguing and promising approach is to cooperatively employ a fleet of unmanned surface vehicles within a networked framework. Specifically, this approach leverages the power of maritime communication networks to orchestrate the collaborative efforts of multiple unmanned surface vehicles, enabling them to work harmoniously towards shared objectives. By seamlessly integrating advanced robotics, artificial intelligence, and wireless maritime communication techniques, network-based cooperative control of multiple unmanned surface vehicles opens up a new horizon for efficient, scalable, and intelligent maritime operations.</p
Photocatalytic graphene membranes for solar desalination and hydrogen generation
No full textThe rapid increase in the world population causes the primary concerns of water and energy shortage. This lowers the quality of human well-being and consumes a large amount of money each year and yet comes to an end, leading to the urgent demand for usable water and renewable energy. To address these problems, this thesis provides research on the photocatalyst-doped graphene membranes for solar desalination and H2 generation. The critical challenge of salt accumulation in solar desalination has been experimentally explored by using photocatalytic reactions. Besides, the H2 production method at ambient conditions using photocatalyst-doped graphene membrane have been demonstrated.</p
Investigating the effects of dairy milk phospholipid supplementation and modifiable factors upon white matter microstructure in older adults with age-associated memory impairment
No full textThe population is ageing rapidly and given the paucity of reliable pharmaceutical interventions for arresting age-related changes in neurocognitive health there is increasing interest in non-pharmaceutical interventions for mitigating neurocognitive decline. One such intervention may be supplementing with phospholipids extracted from dairy (cow) milk. While there are several plausible mechanisms by which phospholipid supplementation may benefit brain structure, most research to date has only examined for cognitive effects – primarily in animal models. This thesis is the first to explore whether supplementation with dairy milk phospholipids benefits brain structure and cognitive function in older adults with age-associated memory impairment.</p
Good governance in the Australian private education sector
No full textThis study delves into governance practices within Australian private education, especially RTOs, examining alignment with the Australian National Strategy for International Education. It proposes a robust governance framework, validated by case studies and thematic analyses, aimed at enhancing global educational delivery and ensuring good governance within the RTO sector.</p
Psychological Sciences Research Showcase Magazine
No full textIn this edition, we cover the dynamic landscape of psychological sciences at Swinburne. Our researchers are among the best in the world, delving into the intricacies of human behaviour, cognition, and emotion. We are reminded of the profound impact that our work can have on individuals and communities. Whether it be advancing our understanding of mental health, exploring the complexities of social interactions, or pushing the boundaries of cognitive neuroscience, the research conducted in our department continues to extend the frontiers of knowledge. As a thriving group of psychological scientists, the Department of Psychological Sciences takes pride in the contributions we are making to Swinburne’s vision to be the University of choice to provide evidence and expertise to support society’s increasing need for transformative technology and for the human capital and talent to leverage it. We are also proud of our Excellence in Research Australia five-out-of-five ranking of research excellence, placing us at the top level of research excellence: above world standard, and our many national and international Awards for our outstanding research and development initiatives
Optimising Airport Security: Biometric Sorting by Departure Time
No full textThis study adapts to post-pandemic airport operations, focusing on optimizing security through biometric sorting by departure time. It aims to understand dynamic passenger processes in future airport terminals influenced by demand and supply pressures. Conducted using Simio simulation, the research leverages key variables and real-time data from the Official Airline Guide (OAG) to enhance passenger processing. The model, based on Melbourne Airport, demonstrates that systematic security design can significantly improve efficiency, reduce wait times, and enhance customer satisfaction. Findings suggest that airport operators should implement biometric sorting by departure time to optimize security measures
Adverse Childhood Experiences and Binge Eating Disorder: Exploring the Role of Shame and Functions of Binge Eating
No full textBinge eating disorder (BED) is a serious mental illness. This thesis focuses on the contributing and perpetuating factors in binge eating, particularly for those with a background of adverse childhood experiences (ACEs). This thesis explores the role of shame in binge eating pathology, as well as a range of relatively novel functions, or motives, for binge eating. Results identified relationships between ACEs, types of shame, functions of binge eating, and severity of binge eating. These findings suggest the benefit of more nuanced, trauma-informed psychological treatments for individuals experiencing binge eating, where traditional psychological treatments lack efficacy
Mechanical Response of Functionally Graded Lattice Structures Fabricated by Additive Manufacturing
No full textAdditively manufactured lattice structures possess high strength to weight ratios and energy absorption capacities while offering a higher design freedom. This thesis focuses on evaluation of mechanical performance of functionally graded (FG) polymer and metal lattice structures aiming to enhance the energy absorption capacities. The structures were additively manufactured in the form of cubes and beams and tested under uni-axial compression and three-point bending, respectively. The experimental results were employed to develop and validate finite element (FE) models which were subsequently utilised for analysing the behaviour of FG lattices subjected to changes in gradient, loading direction, and loading velocities
A Job-readiness model for trainee chefs in Australia
No full textThis research investigates how the curriculum in Victoria's TAFE system can be improved to increase the job-readiness of trainee chefs. The research aims to ensure that graduates have the skills employers need by comparing industry expectations with current training programs. Semi-structured interviews (28 participants) were conducted with professional chefs and hospitality school instructors to explore their perceptions of the current gaps in the critical competencies needed in graduates, as well how these gaps can be addressed through improvements in the cookery curriculum. Finally, the study proposes a new curriculum framework that incorporates broader skills alongside culinary and technical expertise for trainee chefs
LXL: LiDAR Excluded Lean 3D Object Detection With 4D Imaging Radar and Camera Fusion
No full textAs an emerging technology and a relatively affordable device, the 4D imaging radar has already been confirmed effective in performing 3D object detection in autonomous driving. Nevertheless, the sparsity and noisiness of 4D radar point clouds hinder further performance improvement, and in-depth studies about its fusion with other modalities are lacking. On the other hand, as a new image view transformation strategy, 'sampling' has been applied in a few image-based detectors and shown to outperform the widely applied 'depth-based splatting' proposed in Lift-Splat-Shoot (LSS), even without image depth prediction. However, the potential of 'sampling' is not fully unleashed. This article investigates the 'sampling' view transformation strategy on the camera and 4D imaging radar fusion-based 3D object detection. In the proposed LiDAR Excluded Lean (LXL) model, predicted image depth distribution maps and radar 3D occupancy grids are generated from image perspective view (PV) features and radar bird's eye view (BEV) features, respectively. They are sent to the core of LXL, called 'radar occupancy-assisted depth-based sampling', to aid image view transformation. We demonstrated that more accurate view transformation can be performed by introducing image depths and radar information to enhance the 'sampling' strategy. Experiments on VoD and TJ4DRadSet datasets show that the proposed method outperforms the state-of-the-art 3D object detection methods by a significant margin without bells and whistles. Ablation studies demonstrate that our method performs the best among different enhancement settings