18397 research outputs found
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Sustaining Power Fluctuations of Renewable Energy Resources and Precise Power Sharing and Voltage Stability in Microgrid
No full textThis research focuses on the integration of renewable energy into power systems, improving microgrid (MG) stability and efficiency. It introduces control techniques for both alternating current (AC) and direct current (DC) MGs, designed to manage the inherent fluctuations of renewable energy sources and adapt to unpredictable load variations. Innovations include the integration of supercapacitors in wind energy systems to prolong battery life and reduce power fluctuations, and the development of novel control methods to minimize harmonic distortions in distributed generation. These advancements enhance the reliability and sustainability of renewable energy systems, contributing to a more eco-friendly and resilient energy infrastructure.</p
Smoothed Particle Hydrodynamics Simulations of The Cold Spray Process with Various Feedstock Morphologies
No full textThe foundation of SPH simulation framework for cold spray technology, incorporating the Chakrabarty's modified Johnson-Cook model. The simulation methodology offers the groundwork for the development of cold spray deposition physics simulation to predict the relative bond characteristics, temperature, stress distribution of the deposition process of feedstock particle with various morphologies
Segmentation-Based Dynamic Path Planning Using Depth Camera for Navigation by a Companion Robot
No full textThis research addresses the need for improved vision-based techniques in indoor robot navigation, benefiting fields like self-driving cars and assistive technologies in medical robotics. The study emphasizes the significance of identifying object positions and predicting safe navigation paths by treating scene perception as a general problem. The proposed approach combines deep learning and basic calculations to effectively understand scenes and predict paths. The research demonstrates the method's efficacy in accurately estimating person positions and achieving safe robot navigation. These findings contribute to the advancement of robot navigation, making it safer, more reliable, and applicable in diverse real-world scenarios, benefitting society
Flipping failure in graphic design: A design mindset method to navigate mindset loops and pathways to professional success
No full textDesign is in constant growth, and this growth runs parallel with the development of a society in which graphic designers are engaged in creative problem-solving on a day-to-day basis and is reflective of current times and the issues faced globally. Communication designers are engaged not only in creating visual output but also in their methods and process thinking, working with and through failure for clients developing craft ability and knowledge expansion. Well-defined or ill-defined (including wicked problems) are presented, such as plastics consumption and waste, global climate change, and virus pandemics. Graphic designers can use design methods and processes to create design solutions that benefit society. However, this process is not always straightforward, and many designers encounter obstacles and failures on their journey. This thesis reviews literature across multiple disciplines: graphic design, education and psychology relating to failure and mindset including the conversation surrounding these subjects. In the graphic design discipline, this thesis investigates the problem-solving processes and divergent and convergent theory, including the singular topics of failure that the designer may experience. The thesis focuses on graphic design industry work environments, identifying failure where graphic designers shared lived experiences that included social connections such as clients, art directors, account managers and colleagues. This study seeks to understand the differences between fixed, growth and creative mindsets to see how this influences graphic design practice. The thesis investigates flipping failure in graphic design by developing a Design Mindset Method prototype to assist individuals in navigating mindset loops and pathways to professional success. This includes challenging failures, which present as obstacles, avoiding effort and criticism, including missed opportunities. The research asks the following questions: What do graphic designers think of failure? Does the designer choose to work through a failure? Does the designer permit themselves to fail, grow and be creative? What type of method or process does the graphic designer use to navigate through the failure using mindsets? How do graphic designers navigate failure, and what is the process? Nine graphic design participants currently working in the design industry were interviewed (semi-structured). The interview questions were designed to reflect the fixed, growth and creative mindset characteristics, challenges, obstacles, effort, criticism, and the success of others. Graphic designers discussed failure in the design industry, sharing their lived experiences and how they problem-solve failure. The information acquired through the literature reviews and interview analysis informed the development of a novel method introduced in this work called the Design Mindset Method (DMM) prototype. The DMM prototype has the potential to be used in the graphic design industry including educating emerging designers, individuals and collaborative groups on how to approach and navigate through failure. The aim of the DMM prototype is to act as a communication tool to support emerging graphic designers in navigating through failure when working solely or in a group
Identifying Distant Solar Twin Stars Throughout the Milky Way
No full textSolar twins – stars very similar to the Sun – are targets in a multitude of astronomical fields, e.g. stellar evolution, the evolution of chemical elements, and calibration of precise instrumentation. Previously, most solar twins were observed in the solar neighbourhood with only a few twins identified at distances up to 1 kpc. We aim to construct a method optimised to find solar twins further away than any known before, which can be used to probe for possible variation in the fine-structure constant -- (the strength of electromagnetism)
A unified approach to suicide risk detection using text and voice
No full textSuicide affects over 3000 Australians every year. Traditional forms of assessment have not succeeded in addressing this concerning trend. This PhD thesis by publication addresses a pressing need for alternative forms of assessment and detection. This PhD explores the use of text-based and voice signal-based analyses, that together hold significant promise in identifying suicide risk and psychological distress in callers to national telephone helpline counselling services. It is further argued that these forms of analysis cannot occur without first addressing key ethical considerations. Thus, this PhD thesis offers an ethical, efficient and real-time detection of suicide risk
Exploring Predictors of Aggressive Intrusive Thoughts and Aggressive Scripts: The Influence of Associated Beliefs and Features
No full textAggressive intrusive thoughts and aggressive scripts are two cognitive phenomena that include experiencing thoughts about harming another person, however they have distinct behavioural outcomes depending on the demographic population they are investigated in. This thesis identified several features pertinent to aggressive intrusive thoughts and aggressive scripts that may be used as avenues for differentiation, to improve the early detection of these thoughts, and to assist with violence risk assessment and treatment for those who report them
Investigation of GABAA receptors in differentiated neurons in vitro
No full textThis research project first explored various methods for in vitro neural differentiation from mouse and human pluripotent stem cells. It also established a system for studying GABAA receptors in cells. Then genome editing techniques were employed to modify the endogenous GABRA1 gene in the inducible pluoripotent cell lines for more realistic measure. The outcomes of this project provided powerful tools for disease modeling, drug screening and cell therapy, which can develop potential treatments for neurological disorders in future
Hybrid Visualisation Recommender System of Patient-Generated Complex Diabetes Data
No full textThis research introduces MTViz, a novel hybrid visualisation recommender system leveraging machine learning models to predict data analysis tasks and rule-based heuristics to generate tailored visualisations from diverse multidimensional diabetes datasets. MTViz allows users to visualise data without requiring specific visualisation knowledge. MTViz supports the insertion and simultaneous display of multiple patient-generated datasets, benefiting practitioners in extracting essential insights from various sources. Incorporating data analysis tasks in MTViz ensures the recommended visualisations are aligned with user-defined tasks, enhancing task-solving efficiency. Furthermore, MTViz organises visualisations using juxtaposed and superimposed views, assisting practitioners in comparing multiple health datasets within a single view
An integrated approach to address Diabetic Retinopathy in a rural district of Bangladesh
No full textThis thesis focuses on diabetic retinopathy (DR) screening programs in rural Bangladesh, assessing the awareness of DR among healthcare workers, teachers, community leaders, and people with diabetes. The study reveals a lack of knowledge about DR among these key groups, emphasizing the need for educational interventions to improve awareness and prevention through routine screening programs. The research also evaluates the accuracy of DR screening using retinal imaging by non-ophthalmologists, demonstrating that primary care physicians can achieve moderate accuracy with online training and exploring the potential of involving general physicians in grading retinal photos to overcome resource limitations in rural areas