18397 research outputs found
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Computational Design of Carbon Based 2D Catalytic Materials for Clean Energy Applications
No full textThis thesis delves into the urgent global issues of energy depletion and environmental degradation. Fossil fuel usage has led to a surge in carbon dioxide levels, causing detrimental effects. To combat this crisis, conversion of abundant molecules into synthetic fuels and essential chemical building blocks is paramount and offers a greener approach. Catalysts play a crucial role in enhancing reaction rates and selectivity, and this thesis focuses on designing efficient, durable, and cost-effective catalysts using computational methods. Specifically, it explores electrochemical nitrogen reduction to ammonia and methane oxidation to methanol. These advancements offer promising solutions for a sustainable energy future
The great protein shift: Understanding consumers and embodied practices in alternative protein consumption
No full textThis research explores the adoption and consumption of alternative proteins, critical for achieving sustainable dietary transitions. Through three interconnected studies, it investigates the barriers and facilitators of alternative protein consumption, consumer patterns and motivations, and the inherent tensions influencing ongoing use of such proteins. The studies offer a nuanced understanding of the multidimensional drivers behind these behaviors and present narratives to mitigate tensions and encourage wider adoption. Ultimately, this work provides critical insights to understanding of alternative protein consumption and offers valuable insights for shaping policy, sustainable initiatives, and food retail strategies.</p
3D Printable RFID Embedded Damage Sensors For Structural Health Monitoring
No full textThis research presents ground-breaking advancements in Structural Health Monitoring (SHM) through innovative RFID integration. Novel 3D-printable RFID-embedded filaments promise scalable, resilient sensors, streamlining SHM. Advanced techniques, using the MUSIC algorithm, machine learning, and enhanced RFID sensitivity via photoluminescence materials, revolutionize damage detection and localization with the 3D printing encapsulation of the passive RFID sensors. By these sensors, unique non-destructive testing of fiber-reinforced polymers, facilitated by deep learning, promises accurate, cost-effective manufacturing defect detection. Together, these innovations mark transformative strides in structure safety, smart city applications, and manufacturing efficiency.</p
To explore the forms of Personal Aerial Vehicle designs suitable for personal mobility in India's growing cities
No full textThis research project aims to understand the users' perception of the PAVs form and how to convert their needs, wants, and concerns into design parameters for future development. My original contribution to knowledge highlights how users' data can be converted into meaningful guidelines through practice-based research. The research will have tangible and intangible outputs that will empower designers to create new products based on the users' insights. The findings from this research project will feed into the larger collaborative project sponsored by the Government of India to develop the passenger cabin and the overall form of the PAV in India
Advanced Multi-functional Photonic Filters Based on Integrated Sagnac Interferometers
No full textAs a fundamental optical approach to interferometry, Sagnac interference has been widely used for reflection manipulation, precision measurements, and spectral engineering in optical systems. This thesis presents advanced multi-functional integrated photonic devices formed by Sagnac interferometers, opening up a new avenue towards realizing various filter functions based on integrated waveguide-coupled resonators and shows new perspectives for realizing optical analogues of quantum physics by exploiting Sagnac interference in integrated photonic devices, which could provide competitive benefits including compact footprint, high scalability, high stability, and mass producibility for practical applications
Lead Oxide and Lead-containing Slag/Glass Reduction Using Hydrogen
No full textThe current study highlights the potential of decarbonisation of the lead metal industry by utilizing hydrogen reduction in processing and recycling lead-containing slag. This study emphasizes the current limited understanding of hydrogen's role as a reductant in reducing lead-containing slag, particularly in the context of complex industrial metal production slags. The study aims to address this knowledge gap by conducting a systematic investigation, ranging from simple (PbO) to complex slag systems (PbO-SiO2, PbO-SiO2-CaO, and PbO-SiO2-CaO-Fe2O3). The focus is on understanding the thermodynamics, kinetics, and mechanisms involved in the hydrogen reduction of these systems, supported by detailed materials characterization
Older People's Housing and Housing Precariousness in Queensland (2011-2021)
No full textNo description availabl
The Effects of Flipped Classroom Instruction on Indonesian EFL Students' Speaking Ability in One Higher Learning Institution
No full textThis study explores how a new teaching method called "flipped learning" can help Indonesian college students improve their English speaking skills. Flipped learning involves students watching lessons online before class and engaging in interactive activities during class time. Researchers used a mix of surveys, tests, and interviews with 40 students to see if this approach improved their speaking abilities. Results showed that students' speaking performance improved, and they enjoyed the personalized and engaging nature of the flipped learning method. The study also created a new teaching framework based on this approach that could be useful in other language-learning settings
Older People's Housing and Housing Precariousness in South Australia (2011-2021)
No full textNo description availabl
Optimal Designs of Synthetic and Double Sampling np Charts Based on Median Run Length and Expected Median Run Length
No full textThis study proposes six new np control charts with improved shift detection efficiency. The results gathered indicate that most of these new charts perform better than competing charts. Results obtained also provide major contributions to both academia and industry, providing attribute SPC practitioners with useful advice for selecting the most appropriate chart and paving the way for a new frontier of attribute SPC study. In addition to laying the groundwork for the design process and evaluation of attribute control charts, the findings of this study support the use of attribute control charts in a broad range of applications