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The Environmental Impact Of Rapid Construction In Australia, Ahmad Alsubousi
The Environmental Impact Of Rapid Construction In Australia, Ahmad Alsubousi
Theses
This research examines the degrading effect of the high-rate of construction in Australia especially on the generation of waste, effectiveness of policies to be applied regarding waste and sustainability implication. The research utilizes regression analysis, clustering, and forecasting based on ARIMA with data provided by National Waste Report (2006 07 to 2022 23) to analyse the magnitude and the factors affected by construction and demolition (C&D) waste that ended up being the major factor of overall waste production in Australia. Findings depict an observable upward trend in C&D waste along with landfill use and variations in the performance of waste …
Exploring The Perception Of Dynamic Electrotactile Patterns On The Fingertips, Vedika Nimbalkar
Exploring The Perception Of Dynamic Electrotactile Patterns On The Fingertips, Vedika Nimbalkar
Theses
The goal of this study is to evaluate the effectiveness of electrotactile feedback on the fingertips by examining how accurately different dynamic patterns can be perceived. We designed three pattern types (Single Line, Double Line, and Box) and programmed each to move in eight distinct directions: bottom to top, top to bottom, left to right, right to left, bottom-left to top-right, top-right to bottom-left, bottom-right to top- left, and top-left to bottom-right. A study was conducted to assess these patterns’ perceived accuracy and response time on fingertips. The study results revealed that the Single Line and Double Line patterns had …
Symbiotic Furniture Design: A Single Chair Integrating Epiphytes With Taiwanese Window Grille Structures, Kuan-Wen Lin
Symbiotic Furniture Design: A Single Chair Integrating Epiphytes With Taiwanese Window Grille Structures, Kuan-Wen Lin
Theses
Plants have been integrated into residential and interior environments for centuries, yet research on the psychological effects and interactive potential of plants in furniture design is still relatively limited. Traditional planting methods, such as individual potted plants or large green walls, often require additional floor or wall space, which is not ideal for environments with limited living space. Therefore, this study investigates how plants can be integrated into furniture design to enhance the effect of interior greenery and user engagement, and to redefine the relationship between furniture and the natural environment. This research explores a furniture design that incorporates epiphytic …
Predicting Mental Health Risk In Remote Workers: A Machine Learning Approach, Majed Al Mheiri
Predicting Mental Health Risk In Remote Workers: A Machine Learning Approach, Majed Al Mheiri
Theses
This dissertation explores the application of machine learning in mental health risk prediction of remote workers, which is increasingly becoming a significant issue, with the practise of flexible working reshaping organisational practises. It is based on the theoretical framework that has been used previously such as Job Demands Resources model and Stress-Strain model which emphasise the role of workload, support systems and personal resources in determining the well-being of employees. The context of the study indicates the growing rate of remote and hybrid employment, and the associated increase in the number of issues associated with stress and isolation, as well …
Defaking Deepfakes: Designing And Evaluating Ai-Powered Digital Media, Saniat Javid Sohrawardi
Defaking Deepfakes: Designing And Evaluating Ai-Powered Digital Media, Saniat Javid Sohrawardi
Theses
The rapid spread of generative AI has revolutionized media production, creating new challenges for information integrity as convincing deepfakes proliferate. Journalists play a critical role in upholding credible public information, yet existing deepfake detection technologies often overlook their specific workflows and requirements. This dissertation addresses these needs by identifying what journalists require from detection tools and evaluating usability in realistic scenarios through the following works: Journalists' Needs and Tool Design: Through qualitative user studies, we uncover journalists' preferences for tools that provide transparent, explainable evidence and context-aware analysis integrated into news verification routines. These insights drive the design of DeFake, …
Predictive Ai Models For Phishing Attack Detection: A Data-Driven And Statistical Analysis Approach, Suhail Othman Alfalasi
Predictive Ai Models For Phishing Attack Detection: A Data-Driven And Statistical Analysis Approach, Suhail Othman Alfalasi
Theses
Phishing has remained a serious threat to cybersecurity, as this type of attack can easily bypass detection systems that are either rule-based or blacklist-based. The proposed thesis work will present a solution that will make use of both statistical analysis and machine learning to correctly identify a phishing website. The solution will make use of a hybrid approach comprising statistical-based preprocessing methodologies, such as PCA and decision tree-based feature selection, to filter the crucial URL features that a website may possess. A carefully balanced dataset has been utilized, as well as a non-parametric approach utilizing the Mann-Whitney U-test to validate …
The Role Of Ai And Predictive Policing In Crime Prevention, Saif Salem Mohammad Hassan Abdulla
The Role Of Ai And Predictive Policing In Crime Prevention, Saif Salem Mohammad Hassan Abdulla
Theses
The current thesis examines the application of Artificial Intelligence (AI) in the arena of predictive policing and crime forecasting using an integrated case study based on the empirical approach supported by a narrative review of literature. Due to the growing use of digital data by the law-enforcement agencies, AI techniques, including machine learning and spatio-temporal modelling, are implemented to detect patterns of crimes, predict high-risk areas, and assist law-enforcement decision-making. Though these technologies have the potential to make the processes of accuracy and resource allocation better, they also bring up the issue of the fairness, transparency, and disproportionate effects on …
Desiccation Tolerance In Tetradesmus Green Algae, Kristen Patten
Desiccation Tolerance In Tetradesmus Green Algae, Kristen Patten
Theses
In the face of the global climate change threat, understanding the adaptations that organisms have evolved to handle environmental variation is of particular interest to scientists. With climate change impacting global water availability and increasing the risk of drought for many traditional agricultural areas in the United States (IPCC, 2014, IPCC, 2021, and Kuwayama et al., 2019), desiccation tolerance in vegetative states is one adaptation that is currently receiving a lot of attention. Green algae are particularly useful organisms for understanding this adaptation due to their ubiquity across environments, which has given rise to independently evolved organisms displaying different levels …
Microgrid Approach With Data-Driven Monitoring To Enhance The Resilience Of Water Distribution Systems, Binod Ale Magar
Microgrid Approach With Data-Driven Monitoring To Enhance The Resilience Of Water Distribution Systems, Binod Ale Magar
Theses
Existing centralized water supply systems are critically threatened by the joint effects of climate and socioeconomic changes, extreme weather events, and physical degradation due to aging, and their changeability. The uncertain and changing drivers pose challenges for water supply systems in providing sustainable water services during disruptions. The energy field dealing related issues has endorsed the microgrid approach with a decentralized energy supply with dispersed local energy sources. The application of energy microgrids has demonstrated their resiliency for sustainable energy supply. For improved resiliency of a water distribution system, this study investigated the application of a microgrid approach and the …
Exploring Denitrification In Wetland Nitrogen Cycling And Biostimulant-Based Agricultural Strategies To Improve Ecosystem Health, Alexander Bechtel
Exploring Denitrification In Wetland Nitrogen Cycling And Biostimulant-Based Agricultural Strategies To Improve Ecosystem Health, Alexander Bechtel
Theses
The overuse of fertilizers has doubled the amount of reactive nitrogen in the environment. Agricultural runoff then carries these pollutants into the waterways eventually causing severe ecological damage such as the Gulf of Mexico dead zone. Nitrogen plays an important role in all life on this planet, here we describe two complementary projects that investigate ways to mitigate nitrogen pollution. The first project investigates denitrification rates in soil after the Len Small Levee breached in 2016 which reconnected the Dogtooth Bend Floodplain with the Mississippi briefly. The denitrification process that began in the hydrologically activated soils was hypothesized to be …
Echo’S Repertoire: Performing Science Fiction And Trans Care Models, Juniper Blue
Echo’S Repertoire: Performing Science Fiction And Trans Care Models, Juniper Blue
Theses
Echo’s Repertoire is a mixture of a passion piece and a call for more work with performing science fiction. It focuses on interpersonal communication within trans studies and the experiences of transgender individuals and myself. Echo’s Repertoire is also an example of the Lyrical Model proposed by Awkward-Rich as a new model for trans affirming speech. The show is laid out non-linearly and follows along with Echo as he starts to build new relationships with the advice of his spaceship ai, Eep, who is a previous version of himself prior to transformation (transition).
Surface Water And Groundwater Interactions Within The Riparian Wetlands Of The Mississippi River Dogtooth Bend Southern Illinois, Adeola Jacob Fagorola
Surface Water And Groundwater Interactions Within The Riparian Wetlands Of The Mississippi River Dogtooth Bend Southern Illinois, Adeola Jacob Fagorola
Theses
Riparian wetlands serve as transition areas connecting terrestrial and aquatic ecosystems, providing vital functions in maintaining water quality and habitat for diverse array of organisms. A comprehensive understanding of the interaction between surface water (SW) and groundwater (GW) in riparian wetlands is crucial for the management of these ecologically significant habitats. However, the interactions between SW and GW are often only partially constrained particularly with respect to their effects on water chemistry and nutrient cycling.In this study I utilized geochemical and hydrological approaches to examine the dynamics of surface water and groundwater interactions within the riparian wetlands of the Dogtooth …
Evaluating Streambank And In-Stream Erosion As Acontributors To Water Quality In Two Illinois Agricultural Watersheds, Chibueze Chigozie Iguegbe
Evaluating Streambank And In-Stream Erosion As Acontributors To Water Quality In Two Illinois Agricultural Watersheds, Chibueze Chigozie Iguegbe
Theses
This study investigates its contribution to sediment and phosphorus (P) export in two agriculturally dominated watersheds in south central Illinois—Lost Creek and East Fork Shoal Creek (EFS). Using cross-section surveys, and erosion pin measurements over a two-year monitoring period, we quantified bank erosion rates, sediment yields, and associated phosphorus loads. Hydrologic data from the Illinois State Water Survey (ISWS), alongside local precipitation and soil data, were utilized in the interpretation of erosion dynamics in the study watersheds. Key findings from this study show spatial and temporal variability in erosion rates, which is driven by seasonal flow events, riparian vegetation type, …
Embedded Sensor Design For Non-Robust Delay Testing, Presh Jayawardana Manannaidelage
Embedded Sensor Design For Non-Robust Delay Testing, Presh Jayawardana Manannaidelage
Theses
Current delay testing methodologies for integrated circuits face critical limitations, asrobust tests remain unachievable for most paths, forcing reliance on Non-Robust (NR) tests that suffer from unrealistic single-fault assumption, the path under test non being sensitized, and vulnerability to hazard-induced errors. This thesis propose a built-in sen- sor to detect delayed hazards and a sensor to diagnose circuits in the presence of those hazards resulting reliable detection. This thesis intends to propose 2 sensors for non-robust test-based monitoring and test- ing. The first sensor discussed is for IC testing with NR tests. This sensor is capable of detecting any full-swing …
Prediction Of Geometric Deviation In Additively Manufactured Tpms Lattice Structures Using Non-Destructive Evaluation And Conditional Generative Adversarial Networks, Prateek Neupane
Theses
Metal 3D printing has emerged as a widely used additive manufacturing method, finding applications across numerous industries and research areas. However, its application is often hindered by geometric inaccuracies and surface quality issues resulting from the complex interplay of laser power, melt pool behavior, and cooling characteristics. These inconsistencies have a significant impact on the design and functionality of printed parts, affecting structural integrity and dimensional accuracy. Thus, an effective data-driven approach is crucial to predict these deviations before manufacturing. This study proposes a methodology that incorporates Non-destructive evaluation techniques, like in-situ monitoring and X-ray CT scan, with Conditional Generative …
Flood Susceptibility Assessment Through Gis Integrated Analytical Hierarchy Process And Machine Learning Models, Sujan Shrestha
Flood Susceptibility Assessment Through Gis Integrated Analytical Hierarchy Process And Machine Learning Models, Sujan Shrestha
Theses
Flooding is among the most destructive natural disasters globally, and it inflicts severe damage on both natural environments and human-made structures. The frequency of floods has been increasing due to unplanned urbanization, climate change, and changes in land use. Flood susceptibility maps help identify at-risk areas, supporting informed decisions in disaster preparedness, risk management, and mitigation. This study aims to generate a flood susceptibility map for two regions: Davidson County of Tennessee using an integrated geographic information system (GIS) and analytical hierarchical process (AHP), and the Briar Creek watershed of Mecklenburg County, North Carolina using an integrated GIS and machine …
Relationship Between Semi-Aquatic Mammal Occupancy And Particulate Carbon, Nitrogen, And Phosphorus Dynamics In Freshwater Ecosystems, Madison H. Stokoski
Relationship Between Semi-Aquatic Mammal Occupancy And Particulate Carbon, Nitrogen, And Phosphorus Dynamics In Freshwater Ecosystems, Madison H. Stokoski
Theses
Semi-aquatic mammals such as beavers (Castor canadensis) and muskrats (Ondatra zibethicus) can influence carbon (C), nitrogen (N) and phosphorus (P) dynamics in freshwater systems. While the effect of beavers, in particular, are typically attributed to their dam and lodge building behaviors, these animals do not always build these structures. It’s possible that other, non-damming behaviors (e.g. foraging and burrowing) may influence the availability of nutrients as well. To assess this possibility, we surveyed 54 lentic and lotic waterbodies across Southern Illinois and investigated the possibility that beaver and muskrat occupancy improved our ability to explain variation in nutrient availability across …
Make Ready: Productive Disruption And Interstitial Sites Of Graphic Design Practice, Peter Maybury
Make Ready: Productive Disruption And Interstitial Sites Of Graphic Design Practice, Peter Maybury
Theses
This thesis draws on five publications produced between 2010–22: My 2020 film installation Landfall; a series of four museum and gallery-published books made with artist Gerard Byrne (2010–18); Gall, my practice enquiry with Tom dePaor which encompasses film, writing, books, sculpture, curation, and gallery works; releases and live performances by my band Thread Pulls during the period 2010–12; and my exhibition, conference talk, and book Make Ready (2015), the structure of which is taken as ‘armature’ for the writing of the thesis. Through these wide-ranging pursuits, this thesis articulates a non-normative role for the graphic designer. It identifies my operative …
Geometric Deviation Prediction In Additively Manufactured Parts Using Conditional Generative Adversarial Networks Under Varying L-Pbf Process Parameters, Subigyamani Bhandari
Geometric Deviation Prediction In Additively Manufactured Parts Using Conditional Generative Adversarial Networks Under Varying L-Pbf Process Parameters, Subigyamani Bhandari
Theses
The progress in metal AM technology has enabled printing parts with thin features and intricate geometries. Predicting and reducing metal AM part geometrical deviations to narrow down the difference between printed and designed structure still poses a problem. This work explores changes in laser speed, laser power, and hatch spacing affecting geometrical deviations in parts made using laser powder bed fusion (L-PBF) and places an emphasis on how to predict geometrical defects in the AM parts. Sliced images obtained from CAD designs and printed parts to capture the effect of various L-PBF process parameters are utilized to create a dataset. …
Comprehensive Drought Analysis: Machine Learning-Based Meterological Drought Forecasting And Pca-Driven Agricultural Drought Monitoring., Bishal Poudel
Theses
Drought is a long-term natural disaster that affects many aspects of human life from health, water supply to ecosystems and agriculture. Drought’s occurrence and intensity has increased in recent years because of global warming, which urges for proper and accurate monitoring and forecasting of drought. For better understanding of droughts, this study uses two approaches. In first part, the study uses the historical temperature and precipitation data from period of 1960 to 2021 as input features for three different machine learning models – Artificial Neural Network (ANN), Support Vector Machine (SVM) and Random Forest (RF). The research focuses on calculating …
Effect Of Water-Deficit Stress On Cannabis Sativa Production And Secondary Metabolite Levels, Shiksha Sharma
Effect Of Water-Deficit Stress On Cannabis Sativa Production And Secondary Metabolite Levels, Shiksha Sharma
Theses
Cannabis (Cannabis sativa L.) is an emerging high-value crop that belongs to the Cannabaceae family and the genus Cannabis, which is known to produce more than 200 cannabinoids. Although genetic variation is the main factor in cannabinoid production, water-deficit stress is believed to induce its production. The objective of this master’s thesis was to determine the effects of water-deficit stress frequencies and timing on growth, physiology, yield, and cannabinoid concentration in cannabis. Heidi cultivars were planted in a controlled environmental growth unit. One period of water-deficit stress was found to produce the lowest concentration of total CBD and THC. In …
Survivorship In Virginia Opossums And The Management Implications For Burmese Pythons In Key Largo, Florida, Arya J. Sanjar
Survivorship In Virginia Opossums And The Management Implications For Burmese Pythons In Key Largo, Florida, Arya J. Sanjar
Theses
This study employed a telemetry-based framework, using radio-collared Virginia opossums (Didelphis virginiana), to quantify survival patterns and estimate detection probabilities of python predation events. Between April 2022 and January 2025, 135 adult opossums were monitored using VHF collars across protected habitats within Key Largo. Annual survival was estimated using a staggered-entry Kaplan-Meier model, producing an annual survival rate of 0.17 (SE = 0.089) for females, and male survival was estimated at 0.04 (SE = 0.032) at 10 months since no male lived 10 months after collaring. Cause-specific monthly survival analyses indicated python predation peaked during the late summer months of …
Exploring The Adoption Of Quality 4.0: A Qualitative Study Of Industry Practices And Barriers, Tama Rani Sarker
Exploring The Adoption Of Quality 4.0: A Qualitative Study Of Industry Practices And Barriers, Tama Rani Sarker
Theses
The emergence of Industry 4.0 has revolutionized quality management, introducing Quality 4.0 as a framework that integrates digital technologies with established quality principles. Despite its potential to enhance operational efficiency and decision-making, many organizations face challenges in adopting Quality 4.0, including skill gaps, resource constraints, and cultural resistance. This qualitative study explores industry practices, barriers, and enablers of Quality 4.0 implementation through surveys and interviews with quality professionals in southern Illinois manufacturing companies. Using a phenomenological approach, five major themes emerged: employee skillset, training, technology integration, quality tools, and supply chain management. Findings reveal that successful adoption depends on workforce …
Debating Empire: The Yucatan Crisis And The Political Aftermath Of The Mexican-American War, Colton Matthew Warnes
Debating Empire: The Yucatan Crisis And The Political Aftermath Of The Mexican-American War, Colton Matthew Warnes
Theses
This study examines the impact of the Caste War of Yucatán had on the geopolitical relationship between the United States and Mexico in the aftermath of the Mexican-American War. The briefly independent Republic of Yucatán requested foreign intervention to end the Caste War. The United States debated intervention in Yucatán, while Mexico, still reeling from the loss of the Mexican-American War and dealing with internal political conflict, made steps to reincorporate Yucatán back into Mexico and to diplomatically resist American expansion. Examining the political landscape of the United States and Mexico in the spring of 1848 offers an alternate perspective …
Beyond The Mozart Effect: How Musical Experience And Emotional Response Shape Individual Differences In Spatial Reasoning, Connor Watkinson
Beyond The Mozart Effect: How Musical Experience And Emotional Response Shape Individual Differences In Spatial Reasoning, Connor Watkinson
Theses
Research on the Mozart effect (the short-term enhancement of spatial-temporal reasoning after music listening) has yielded inconsistent results, often due to overlooking individual differences and using limited stimuli. This study examined multiple musical conditions (popular lyrical, classical, and white noise control) while considering the moderating roles of musical experience and the mediating influence of emotional responses. Undergraduate participants (N = 162) completed spatial reasoning assessments before and after an eight-minute listening session, alongside measures of musical background, listening habits, mood, and music-evoked emotions.Analyses revealed no overall difference in spatial reasoning improvement between music and white noise conditions. However, substantial individual …
Accelerating The Degradation Of Biodegradable Mulch Films In Soil And Compost Environments, Harshal Jayesh Kansara
Accelerating The Degradation Of Biodegradable Mulch Films In Soil And Compost Environments, Harshal Jayesh Kansara
Theses
The incomplete degradation of biodegradable mulch films (BMFs) in agricultural soils poses environmental challenges, with persistent plastic residues impacting soil health. This dissertation investigates the use of bioaugmentation with P. guariconensis to enhance BMF degradation under laboratory, raised bed, and field conditions. The research focuses on optimizing microbial delivery methods, evaluating the efficacy of drip and spray bioaugmentation techniques, and assessing mass loss as a primary metric for degradation. Laboratory experiments established proof-of-concept by demonstrating enhanced carbon mineralization, weight loss, and fragmentation of BMFs under bioaugmented conditions. These findings were translated to field-scale trials, where bioaugmentation treatments consistently outperformed untreated …
Meshed Trees: A Framework For Resilient Network Algorithms And Protocols, Peter Willis
Meshed Trees: A Framework For Resilient Network Algorithms And Protocols, Peter Willis
Theses
The continued growth of computer networks in both size and complexity presents challenges for the control protocols that are tasked with maintaining optimal data-forwarding paths. These protocols commonly rely on shortest-path algorithms to determine where network data should be propagated and how it should be analyzed for inclusion in forwarding tables. However, problems arise during reconvergence, the process in which devices rediscover optimal paths following a network failure. Because control protocols were built decades ago for the networks of that era, the existing shortest-path algorithms utilized were designed for problems before the advent of modern computer networks. This resulted in …
Dia-Ms As A Means To Examine Bacteriophage Infection Proteomics, Lane Lasley
Dia-Ms As A Means To Examine Bacteriophage Infection Proteomics, Lane Lasley
Theses
Bacteriophages such as SPN3US are viruses that infect bacterial cells and use their resources and machinery to produce progeny. In this study, data-independent mass spectrometry (DIA-MS) was used to track changes in the SPN3US proteome during an infection of S. enterica. DIA-MS was found to be a viable method of obtaining proteomic data as compared to data-dependent techniques and will prove useful in future studies of bacteriophage infections. Major findings include further information on the two phage RNAPs and the speed of the infection process, plus candidate topics for future research such as the involvement of bacterial flagella and the …
Infinite Screen-A Spatial Interface For Multi-Device Collaboration, Yichen Hou
Infinite Screen-A Spatial Interface For Multi-Device Collaboration, Yichen Hou
Theses
Infinite Screen is a speculative design project that explores how mixed reality can transform a room full of personal devices into a shared spatial workspace for small-team collaboration. In studios, classrooms, and meeting rooms, people routinely work with multiple laptops, tablets, phones, and large displays, yet most existing tools still treat collaboration as a single-person screen-sharing activity. As a result, teams struggle to maintain a coherent shared view of their work, spending significant time negotiating who presents, which device is connected, and where key information resides. This thesis investigates how a room-scale interface might orchestrate these scattered screens through an …
Timeless Poetry, Xuning Li
Timeless Poetry, Xuning Li
Theses
Timeless Poetry reimagines classical Chinese poetry through contemporary digital tools, transforming ancient verse into immersive visual experiences. Using Cinema 4D and Blender for 3D modeling and ink-wash–inspired rendering, the project reconstructs poetic landscapes as cinematic-style environments that invite viewers to encounter traditional imagery through modern visual language. Postcards—chosen for their nostalgic and emotional resonance—serve as both a physical anchor and an interactive trigger: when scanned, each card reveals an AR visuals that reveal the scene in motion. This hybrid design bridges past and present, showing how technology can enhance, rather than replace, cultural heritage by offering new entry points for …