18397 research outputs found
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Recurrent Neural Networks for Earthquake Predictions in Indonesia
No full textIndonesia is one of the most earthquake-prone countries, with frequent and devastating quakes causing loss of life and widespread destruction. While traditional prediction methods provide useful insights, they often struggle to capture complex seismic patterns, reducing early warning effectiveness. This research develops advanced neural network models, a type of machine learning that mimics human learning, to analyze past earthquake data and detect patterns that predict future events. Using earthquake records from Indonesia, these models improve forecasts of earthquake size and timing. By enhancing prediction accuracy, this study strengthens early warning systems, giving communities more time to prepare and reducing disaster impact.</p
Green Human Resource Management and Unethical Pro-organisational Behaviour in the Ready-made Garment Industry of Bangladesh
No full textUnethical pro-organisational behaviour is a very unusual type of behaviour due to its paradoxical nature (i.e., “doing bad things for good reasons”). Unethical pro-organisational behaviour can be defined as behaviours or actions purposefully undertaken to promote the successful functioning of the organisation or its associates (for example, leaders) and breach core societal values, laws, mores, or standard norms of conduct. This research aimed to conduct quantitative empirical research on Leadership in Environmental and Energy in Design (LEED) certified green garment factories in Bangladesh to determine whether the employees are involved in compliance breaches to benefit the organisation or undertake unethical pro-organisational behaviour. The research study tried to propose necessary strategies to ensure the proper implementation of sustainable practices and prevent probable mock compliance (i.e., unethical pro-organisational behaviour) from a practical implication point of view. </p
Advanced Battery Fault Diagnosis for Electric Vehicles
No full textLithium-ion batteries have emerged as one of the most promising energy storage systems in electric vehicles due to their high energy density and long lifespan. However, abusive operations and harsh environments pose risks such as overheating and short circuits, threatening battery safety. This study improves battery fault diagnosis by developing advanced algorithms that detect and assess faults in real time, ensuring reliable operation and extending battery life. By enhancing detection accuracy and reducing computational demands, the research supports safer, more efficient EV batteries and the transition to sustainable transportation.</p
Aptamer Functionalised Stearic Acid Nanoparticle for the Selective Delivery of Antibiotics
No full textThe thesis explored novel nanoparticles made of stearic acid that specifically targeted Staphylococcus aureus bacteria. This was achieved by attaching small DNA molecules called aptamers to the nanoparticle's surface using a novel chemical linkage. When an antibiotic was added to these nanoparticles, they were more effective at killing bacteria than free antibiotic. Adding a dye to the nanoparticles caused the Staphylococcus aureus cells to glow, while leaving other bacteria unaffected, demonstrating the nanoparticles' specificity for those bacteria. This novel approach can be used to deliver customised treatments directly to Staphylococcus aureus or other cells by changing the aptamer.</p
Integrated UAV-based automated parking monitoring and enforcement system
No full textThis research presents an innovative approach to monitoring outdoor parking lots using flying drones and advanced computer vision. The system uses a drone to patrol the parking lot, capturing videos that are then analyzed to identify parking spaces and read license plates. This technological solution shows the potential to replace manual parking enforcement labor such as physical patrolling and issuing fines. Furthermore, the technology can monitor parking space availability and provide this information to parking users to help them find parking more easily. The technology is not limited to flying drones and can be implemented in various mobile devices.</p
Seeing Beyond Sight: Platiality through the lived spatiality of individuals with blindness
No full textThe thesis explores inclusivity in built environment design through the lived experiences of individuals with blindness. It critiques visual centricity in design, which can marginalise individuals with blindness. It argues for a holistic perspective that acknowledges blindness as a whole-body experience rather than merely a lack of sight. Phenomenologically grounded, the research explores how persons with blindness establish a sense of place through their ways of perceiving and experiencing. Through secondary data and interviews, the thesis highlights the importance of integrating diverse sensory knowledge into design. Conceptually, it frames a ‘culture of wholeness’, positioning multisensory engagement as central to inclusivity.</p
A patient-centred comprehensive digital intervention solution to improve adherence to oral anti-cancer agents among adults with cancer
No full textThis research addresses the critical issue of medication non-adherence, which occurs when patients do not take medications as prescribed by their doctors. This widespread issue affects half of adults with chronic conditions, leading to disease progression, hospitalisations, and economic strain. The SAMSON solution, co-designed with patients and healthcare professionals, includes an app for medication reminders, symptom tracking, and self-care advice, along with a training platform to equip healthcare professionals with motivational communication skills. Pilot testing demonstrated its acceptability and usefulness, highlighting its potential to improve medication adherence, reduce hospitalisations, and alleviate healthcare costs, contributing to better health outcomes in Australia.</p
Experiences and Perceptions of Family Violence in South Asian Communities in Australia
No full textThis study examines family violence (FV) within Australian South-Asian communities, focusing on experiences and perceptions. Through a qualitative phenomenological approach, interviews with 30 participants—victim-survivors, perpetrators, and third-party workers—uncover the role of patriarchal beliefs, migration stressors, and systemic barriers in shaping FV dynamics. Findings highlight culturally specific abuse forms, such as dowry and in-law abuse, alongside barriers to help-seeking, including stigma and systemic limitations. An integrative 'theory knitting' approach is recommended to synthesise these insights. The research supports culturally sensitive interventions, policy improvements, and clinical practices, aiming to empower South-Asian communities and foster systemic change in addressing FV.</p
Information Systems Usage Issues in Agricultural Organisations: Exploratory Status Quo Bias Theory Perspective
No full textDespite the great potential of information systems to deliver innovative solutions, farm stakeholders tend to lack the enthusiasm to use information systems solutions, demonstrating a degree of resistance. The research was conducted to explain why information systems usage issues are observed in agricultural organisations and how the farm stakeholders' status quo bias gives rise to information systems usage issues. This research makes an essential contribution by extending the existing theoretical knowledge of Status quo bias theory by incorporating three new constructs to the status quo bias theory. Risk and Uncertainty, Innate Conservatism, and Work Impediments are the three new constructs.</p
Measuring Social Connection: Social Innovation Research Institute's Social Connection Measurement (SIRI-SCM) Toolkit
No full textSocial connection is a latent and multidimensional construct. Although defined in various ways depending on different goals and multi-disciplinary research approaches, a consensus has emerged that social connection cannot be quantified or directly observed through a single measure or experience. Certainly, there are existing measurements related to social connection and dimensions of it however, many of these measurements are context-specific, inconsistently applied, focused on only one aspect of social connection, or are seen as problematic for translation to practice.As such, while “positive social connections can bolster social well-being and may protect against a wide range of health risks” , both academics and industry lack a consistent, conceptually relevant, and methodologically robust tool that can be applied to assess the multiple dimensions of social connection and understand the relationship of social connection with outcome measures. As a response, the SIRI-SCM toolkit provides an overview of social connection and describes a process of measurement development based on multiple data collections from 2021 to 2024 with nationally representative Australian population samples.</p