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Numerical Parametric Assessment Of Lap-Spliced Reinforced Concrete Beams With Steel, Gfrp, And Hybrid Reinforcement, Salah Mohsen, Mohamed H. Makhlouf, Marwa I. Badawi, Gamal Ismail Aug 2026

Numerical Parametric Assessment Of Lap-Spliced Reinforced Concrete Beams With Steel, Gfrp, And Hybrid Reinforcement, Salah Mohsen, Mohamed H. Makhlouf, Marwa I. Badawi, Gamal Ismail

Mansoura Engineering Journal

This study presents a numerical parametric investigation into the flexural performance of reinforced concrete beams incorporating different reinforcement types and lap splice configurations, based on finite element modeling using ABAQUS and benchmarked against ACI 440 design provisions. Sixteen beam models were developed and analyzed under four-point bending to evaluate the influence of reinforcement type (steel, GFRP, and hybrid), splice length, and number of spliced bars on the global structural response. The results indicate that splice detailing plays a governing role in controlling failure mode and ductility. Beams without lap splices exhibited enhanced ductile behavior, whereas shorter splice lengths and higher …


Dual-Polymer Concrete With Recycled Pet And Hdpe Aggregates: Mechanical And Durability Performance Assessment, Omar Abd El Mageed Hammouda Aug 2026

Dual-Polymer Concrete With Recycled Pet And Hdpe Aggregates: Mechanical And Durability Performance Assessment, Omar Abd El Mageed Hammouda

Theses and Dissertations

This study investigates the fresh, mechanical, durability, thermal, performance as well as preliminary financial aspects of dual-polymer concrete incorporating recycled polyethylene terephthalate (PET) as a partial replacement for fine aggregate and recycled high-density polyethylene (HDPE) as a partial replacement for coarse aggregate, with silica fume as a supplementary cementitious material held constant at 10% by weight of cement. The study responds to the convergence of two pressing challenges in the Egyptian context: the scale of plastic waste mismanagement, which results in widespread informal open burning and environmental contamination, and the high operational energy demand of residential buildings in Egypt's hot …


Deciphering The Rules Of Odor-Driven Learning In The Fruit Fly Olfactory System, Cole B. Hanan Aug 2026

Deciphering The Rules Of Odor-Driven Learning In The Fruit Fly Olfactory System, Cole B. Hanan

McKelvey School of Engineering Graduate Student Theses & Dissertations

Odorant identity is encoded by patterns of activity across olfactory receptor neurons (ORNs) and their corresponding glomeruli in the antennal lobe (AL). An odorant's valence can be modified by experience, allowing animals to associate previously neutral odors with appetitive or aversive outcomes. However, some odors appear resistant to such reassignment, and the factors determining whether an odor can acquire learned valence and whether that association generalizes to chemically related odors remain poorly understood. This thesis uses Drosophila melanogaster to address this question using a fully automated proboscis extension reflex (PER) conditioning assay. Odorants are presented via a computer-controlled olfactometer, reward …


Small Unmanned Aerial Systems-Assisted Airport Obstruction And Perimeter Inspections, Christopher Candler, Christopher M. Saylor, Marcus Thompson, Tejash Zala Aug 2026

Small Unmanned Aerial Systems-Assisted Airport Obstruction And Perimeter Inspections, Christopher Candler, Christopher M. Saylor, Marcus Thompson, Tejash Zala

Discovery Day - Daytona Beach

Airports are required to maintain obstruction-free airspace surfaces under 14 CFR Part 77; however, vegetation and perimeter obstruction management is often conducted through periodic ground inspections and contractor-led surveys that provide only snapshot conditions. These approaches may delay detection of encroachments into approach, transitional, horizontal, or primary surfaces, increasing the risk of operational impacts and reactive mitigation. This study proposes an FAA-aligned framework integrating small unmanned aircraft systems (sUAS) into obstruction monitoring workflows through recurring, repeatable perimeter inspections. High-resolution optical and LiDAR sensors, combined with RTK/PPK-enabled GNSS correction, generate centimeter-level geospatial datasets that are processed into canopy height models. These …


Multidimensional Total Quality Management And Its Effects On Sustainability And Performance In Industrialized Building System Projects, Felix Delmonte Aug 2026

Multidimensional Total Quality Management And Its Effects On Sustainability And Performance In Industrialized Building System Projects, Felix Delmonte

Mechanical and Civil Engineering Faculty Publications

This study develops and tests a multidimensional total quality management (TQM) framework to explain how distinct quality practices influence environmental sustainability, construction quality, cost and schedule performance, waste reduction, energy efficiency, stakeholder satisfaction, and overall project performance in industrialized building system (IBS) projects. Soft and hard TQM dimensions such as leadership commitment, customer focus, employee involvement, training and continuous improvement, process management, supplier quality, and data driven decision making are operationalised and linked to eight outcome constructs. Partial least squares structural equation modelling (PLS SEM) is used to estimate direct effects and to examine mediation by waste reduction and energy …


Ai Cyber First Responders: Bottleneck Analysis Of Heterogeneous Cpu–Gpu Pipelines For Security Operations Center Triage, Christine Pierce Aug 2026

Ai Cyber First Responders: Bottleneck Analysis Of Heterogeneous Cpu–Gpu Pipelines For Security Operations Center Triage, Christine Pierce

Harrisburg University Other Works

Abstract — Modern Security Operations Centers (SOCs) must continuously process massive volumes of heterogeneous security telemetry while meeting stringent throughput, latency, and operational continuity requirements. Although transformer-based artificial intelligence has significantly improved threat detection and alert prioritization, most cybersecurity research evaluates model accuracy rather than the end-to-end behavior of AI-enabled operational pipelines. Consequently, relatively little is known about how heterogeneous CPU–GPU coordination, scheduling overhead, memory movement, and synchronization collectively influence operational SOC performance. This paper presents the AI Cyber First Responder, a heterogeneous SOC triage architecture that integrates GPU-accelerated transformer inference with CPU-based doctrine-driven reasoning to investigate end-to-end pipeline behavior …


Evaluation Of Orbit And Mission Design Parameters Considered In Real Space Missions, Enrique Alejandro Amaya Villegas Aug 2026

Evaluation Of Orbit And Mission Design Parameters Considered In Real Space Missions, Enrique Alejandro Amaya Villegas

Discovery Day - Daytona Beach

Orbit and mission design constitute a fundamental spacecraft subsystem, as the selected orbital regime and mission profile strongly influence power availability, communications geometry, propulsion requirements, and overall mission performance. This project investigates how key quantitative and qualitative parameters guide orbit and mission design decisions in real space missions, with particular emphasis on orbital altitude and inclination, ground coverage and revisit time, mission lifetime, launch vehicle performance constraints, and propulsion budgets. The primary objective is to develop a structured understanding of how high-level scientific or commercial objectives, together with cost, risk, and operational constraints, are translated into specific orbital architectures and …


Future Meteorological Droughts In The Southeastern Us, Kunal Bhardwaj, C. Prakash Khedun, Abdul A. Khan Aug 2026

Future Meteorological Droughts In The Southeastern Us, Kunal Bhardwaj, C. Prakash Khedun, Abdul A. Khan

Journal of South Carolina Water Resources

The Southeastern U.S., despite its humid climate, experiences recurrent meteorological droughts which impact agricultural, water resources, ecological systems, and the economy and society. Knowledge of future drought conditions can guide adaptation efforts. Here, we evaluate historical and projected droughts using the Standardized Precipitation Index (SPI) and the Standardized Precipitation-Evapotranspiration Index (SPEI) computed from an ensemble of eight bias-corrected Global Climate Models (GCMs) from the Climate Model Intercomparison Phase-6 (CMIP6). The historical performance (1950–2014) of the GCM’s mean was benchmarked against gridded observations from the Climate Research Unit (CRU). Future changes were assessed under 1.5°C, 2.0°C, and 3.0°C global warming levels.We …


Intensification Of Thermal Energy Storage Systems Based On Sodium Nitrate, Hari Suthan V Mr Aug 2026

Intensification Of Thermal Energy Storage Systems Based On Sodium Nitrate, Hari Suthan V Mr

Theses and Dissertations

Thermal energy storage (TES) systems employing phase change materials (PCM) bridge the gap between thermal energy demand and supply. The low thermal conductivity of sodium nitrate (NaNO3), an inorganic PCM for high-temperature TES systems restricts charging and discharging kinetics, reducing system-level performance. This thesis investigates the intensification of sodium nitrate-based thermal energy storage systems through the incorporation of different classes of additives. Metal oxides (zinc oxide and aluminium oxide) and carbon-based materials (graphene oxide (GO) and expanded graphite (EG)), were incorporated into NaNO3 to improve its thermophysical properties (thermal conductivity, latent heat, specific heat).

Composites were prepared using low-energy ball …


Hitl Ai For Digital Transformation In Healthcare, Ntando S. Sibanda, Petronella Muziti, Priscilla Mataure Aug 2026

Hitl Ai For Digital Transformation In Healthcare, Ntando S. Sibanda, Petronella Muziti, Priscilla Mataure

African Conference on Information Systems and Technology

Limited labor capacity, disjointed information flows and delays in clinical decision-making are among the ongoing issues that primary health care (PHC) systems in resource-constrained settings must deal with. These issues limit service delivery and impede efforts to undergo digital transformation. This study investigates how improved decision support at the primary care level can facilitate incremental digital transformation through human-in-the-loop (HITL) artificial intelligence (AI). In order to identify system gaps, design a context-sensitive HITL AI prototype and assess its viability, usability and integration within standard PHC workflows, the study employs a design-based implementation research approach that incorporates qualitative interviews, workflow observations …


Ubuntu Signs: A Tool For Real-Time Translation Of South African Sign Language, Simone Beets, Hasita Rama Aug 2026

Ubuntu Signs: A Tool For Real-Time Translation Of South African Sign Language, Simone Beets, Hasita Rama

African Conference on Information Systems and Technology

Deaf and Hard-of-Hearing (DHH) individuals often face communication challenges with people who do not understand sign language. Existing systems lack support for South African Sign Language (SASL) and are limited in accessibility, efficiency and accuracy. This paper introduces Ubuntu Signs, a mobile prototype tool for real-time SASL translation using a camera-based interface and machine learning. The tool uses two models to recognize gestures: a static model for alphabetical and numerical gestures and a dynamic model for continuous gestures representing words and phrases. A preliminary user study evaluated the effectiveness, efficiency, accuracy and satisfaction of Ubuntu Signs. Results indicated high usability …


Robbed With Permission: Toward A Receiver-Consent Architecture For Trust-Preserving Mobile Money Transactions In Africa, Raphael Amponsah Aug 2026

Robbed With Permission: Toward A Receiver-Consent Architecture For Trust-Preserving Mobile Money Transactions In Africa, Raphael Amponsah

African Conference on Information Systems and Technology

Mobile money transacted more than USD 2 trillion globally in 2025 across 2.3 billion registered accounts, with Sub-Saharan Africa holding over half of all accounts and two-thirds of transaction value. Between 58 and 72 percent of mobile money fraud on the continent exploits trust rather than technology, yet current security architecture authenticates the sender and merely notifies the receiver, leaving the transaction execution moment structurally unguarded. This paper introduces the Receiver-Consent Transaction Protocol (RCTP), a USSD-native protocol requiring the receiver's active PIN consent on their physical SIM before any credit completes, grounded in Design Science Research with Routine Activity Theory …


Secondary Water Saturation Of The Rock Mass And Quality Of Rocks In Active Mine Areas Bordering The Flooded Workings Of Closed Mines, Mirosława Bukowska Aug 2026

Secondary Water Saturation Of The Rock Mass And Quality Of Rocks In Active Mine Areas Bordering The Flooded Workings Of Closed Mines, Mirosława Bukowska

Journal of Sustainable Mining

The goal of this paper was to inspect the influence of capillary water saturation on the specific strain energy of sedimentary rocks. The relationships between the determined specific strain energies in an air-dried state and in a state of capillary water saturation for detrital rock were exponential, with a strong correlation among the variables. For silt, the relationships were described by a second-degree polynomial function, and the correlation was medium or weak. The relationships for kinetic and dissipated energy were described with a linear function. Pearson correlation coefficients indicated a strong correlation among the variables for detrital rock and a …


C.S.A. Assessment - Tamp Family Health Center Portal, Delante Clark Aug 2026

C.S.A. Assessment - Tamp Family Health Center Portal, Delante Clark

Graduate Scholarship and Creative Works

This C.A.S. assessment evaluates how the Tampa Family Health Centers website influences userattention, cognitive processing, information accessibility, navigation efficiency, and digital user experience.The assessment examines whether the platform supports intentional engagement and informed decision-making while minimizing cognitive overload, distraction, confusion, and unnecessary attentional demands.

TFHC serves as a healthcare access portal providing appointment scheduling, patient resources, providerinformation, healthcare services, MyChart access, payment services, and community health resources.These functions make attention management and information clarity critical to successful user outcomes.


Developing And Validating A Socio-Technical Bim-Lean Integration Maturity Model For Predicting Construction Project Performance, Felix Delmonte Aug 2026

Developing And Validating A Socio-Technical Bim-Lean Integration Maturity Model For Predicting Construction Project Performance, Felix Delmonte

Mechanical and Civil Engineering Faculty Publications

This study proposes a socio-technical, multi-level maturity model that integrates BIM and Lean to explain variation in project performance across cost, schedule, productivity, quality, safety, and sustainability, and outlines a sequential mixed-methods design-science programmed for instrument development and validation. Combining systematic review, semi-structured expert interviews, Delphi consensus, exploratory and confirmatory factor analysis, multi-criteria weighting, and PLS-SEM, the approach separates adoption, subsystem capability, and integration maturity, and treats integration as an emergent property of aligned infrastructure, human capability, governance, and continuous-improvement routines. Measurement development emphasizes reflective multi-item constructs for BIM technical capability, Lean production governance, system integration quality, socio-technical alignment, and …


An Integrated Bim, Ipd And Lean Capability Maturity Model For Construction, Felix Delmonte Aug 2026

An Integrated Bim, Ipd And Lean Capability Maturity Model For Construction, Felix Delmonte

Mechanical and Civil Engineering Faculty Publications

This study proposes an integrated BIM–IPD–Lean maturity construct that conceptualizes digital information management, contractual governance, and production system discipline as interdependent socio-technical capabilities and develops a validated measurement architecture to relate this higher order construct to project performance. A mixed methods strategy is described that uses qualitative interviews and expert panels to generate items and maturity level descriptions, followed by pilot testing and rigorous psychometric evaluation (EFA, AVE, Composite Reliability, CFA/PLS-SEM) to establish convergent and discriminant validity for BIM, IPD, and Lean subscales. Hypotheses anticipate a positive association between integrated maturity and quality, time, cost, safety, productivity, sustainability, and stakeholder …


Isoperimetric Soft Robots, Mihai Stanciu Aug 2026

Isoperimetric Soft Robots, Mihai Stanciu

Theses and Dissertations

This thesis presents two advances in isoperimetric soft robotic trusses that improve their performance, modularity, and configurability. The first contribution introduces a large-scale modular robotic truss designed as a lightweight, reconfigurable structure for lunar applications. The system consists of inflatable fabric tubes routed through motorized roller units and interconnected by a newly developed spherical joint that enables multiple robotic triangles to connect at a common vertex. The resulting truss can be assembled into structures beyond a single octahedron while retaining compact stowage when deflated and untethered operation after initial inflation. Experimental validation demonstrates modular assembly, long-term pressure retention, load-bearing capabilities …


Thermophysical Property Studies: 1. Thermodynamic Consistency For Associating Compounds 2. Autoignition Temperature, Cassandra Jane Guffey Aug 2026

Thermophysical Property Studies: 1. Thermodynamic Consistency For Associating Compounds 2. Autoignition Temperature, Cassandra Jane Guffey

Theses and Dissertations

Accurate thermophysical property data are essential for the design, optimization, and safe operation of chemical processes. Properties such as vapor pressure, enthalpy of vaporization, heat capacity, density, and autoignition temperature--which are among the properties studied in this work--are required for equipment sizing, process simulation, hazard assessment, and economic evaluation. A major focus of this dissertation is the application of multi-property thermodynamic consistency techniques to compounds that exhibit strong vapor-phase association. These methods improve confidence in recommended property values by enforcing rigorous thermodynamic relationships among ideal-gas heat capacity, liquid heat capacity, vapor and liquid densities, vapor pressure, and enthalpy of vaporization. …


Automated Battery Management Systems For Electric Vehicles, Woonki Na, Yuanyuan Xie Aug 2026

Automated Battery Management Systems For Electric Vehicles, Woonki Na, Yuanyuan Xie

Mineta Transportation Institute

Electric vehicle (EV) safety, efficiency, and lifetime are strongly influenced by how well battery cells are managed, and as EV adoption accelerates, improving battery performance has become critical to vehicle reliability, cost, and public trust. This report conducts a field study on the core technologies and challenges in Battery Management Systems (BMS), focusing on the classification of BMS circuit topologies (design/structures) and systematically reviewing different topologies of active cell balancing circuits (systems that move energy from stronger battery cells to weaker ones). The study provides a detailed analysis of the working principles, advantages, and disadvantages of various active balancing circuit …


Graph-Based Machine Learning For Multivariate Time Series Prediction In Scientific Domains: Streamflow Forecasting And Solar Flare Prediction, Kishore Ragul Alagarsamy Aug 2026

Graph-Based Machine Learning For Multivariate Time Series Prediction In Scientific Domains: Streamflow Forecasting And Solar Flare Prediction, Kishore Ragul Alagarsamy

All Graduate Reports and Creative Projects, Fall 2023 to Present

Machine learning methods applied to multivariate time series data have emerged as powerful tools across a range of scientific domains. This report examines two distinct application areas in which such methods yield actionable predictive insights: hydrological streamflow forecasting and solar flare prediction in space weather.

In the domain of streamflow forecasting, a Two-Graph Spatio-Temporal Graph Neural Network (Two-Graph STGNN) was developed to predict river discharge across a 20-station network in the Upper Colorado River Basin. The architecture separates hydrological and meteorological feature streams into two complementary graph representations and fuses them through a learned attention mechanism. Systematic evaluation across 23 …


Prevention Vs Detection: A Discrete-Event Simulation Assessment Of Inspection Staffing, Pick-To-Light, And Ai-Based Inspection In Aerospace Wire Harness Kitting, Jorge Mares Aug 2026

Prevention Vs Detection: A Discrete-Event Simulation Assessment Of Inspection Staffing, Pick-To-Light, And Ai-Based Inspection In Aerospace Wire Harness Kitting, Jorge Mares

Open Access Theses & Dissertations

Aerospace wire harness manufacturing operates under conditions that standard industrial engineering methods were not designed to address. Volumes are low, configurations change between orders, assembly is performed manually by certified labor that cannot be expanded quickly, and IPC/WHMA-A-620 Class 3 acceptance requires that every unit be verified rather than sampled. Kit assembly concentrates the resulting risk, because each item retrieved from the rack is an independent selection decision, and the attributes distinguishing a correct item from an incorrect one are frequently not visible to the operator. Errors introduced there are discovered downstream, after substantial certified labor has been invested. A …


Unsupervised Learning For Minimum Error Adaptive Sampling Of Atmospheric Vertical Temperature Profiles, Alejandro Medina Aug 2026

Unsupervised Learning For Minimum Error Adaptive Sampling Of Atmospheric Vertical Temperature Profiles, Alejandro Medina

Open Access Theses & Dissertations

Uncrewed aerial systems (UAS) collect atmospheric data on fixed schedules, and endurance limits make blind searching costly. This thesis develops an unsupervised representation that summarizes a multi-decade radiosonde archive into a compact library of atmospheric states, giving a UAS an expectation of the column before it flies. The method standardizes both axes of a profile against the sounding's own surface conditions, which makes the representation independent of season and of station elevation. Applied to 27,270 soundings from Norman, Oklahoma, over the lowest 1.5 km of the atmosphere, 12 representative profiles reconstruct the record to within 1.0 °C of mean absolute …


Development Of Reduced Conflict U-Turn (Rcut) Guidance In Kentucky, Travis Thompson, Duane Thomas, Jill Asher, Jeff Jasper Aug 2026

Development Of Reduced Conflict U-Turn (Rcut) Guidance In Kentucky, Travis Thompson, Duane Thomas, Jill Asher, Jeff Jasper

Kentucky Transportation Center Research Report

A reduced conflict U-turn (RCUT) intersection eliminates left-turn and through movements from the minor road. Instead, drivers must turn right onto the main road and complete a U-turn at a downstream median opening. Recognized by the Federal Highway Administration (FHWA) as a proven safety countermeasure, RCUT intersections have reduced fatal and injury crashes 22 – 63%. Despite more than 35 RCUT intersections in operation across Kentucky, the Kentucky Transportation Cabinet (KYTC) lacked specific guidance for their planning, design, construction, and operation.

This project, conducted by the Kentucky Transportation Center (KTC) in cooperation with KYTC, addressed this gap through a comprehensive …


Chameleon Carriers In Trucking: Detection, Enforcement, And Financial And Safety Impacts, Brian Howell, Drew Law, Andrew Martin Aug 2026

Chameleon Carriers In Trucking: Detection, Enforcement, And Financial And Safety Impacts, Brian Howell, Drew Law, Andrew Martin

Kentucky Transportation Center Research Report

Chameleon carriers are motor carriers that evade regulatory enforcement by dissolving and reregistering under new corporate identities. This study, commissioned by the Kentucky Transportation Cabinet (KYTC), examined how states characterize, detect, and respond to chameleon carrier activity and assessed its financial and safety impacts in Kentucky from 2020 through 2025. The research team conducted a literature review of existing agency practices and relevant stakeholder perspectives, reviewed administrative codes and statutes across 13 pilot states, and administered two structured surveys to state motor carrier credentialing officials examining carrier characterization and enforcement practices. An analysis of KYTC's carrier data flagged by CVIEW …


Thermal Conversion Of Cotton Gin Byproducts Into Liquid Fuels And High-Value Chemicals, Emmanuel Asare Aug 2026

Thermal Conversion Of Cotton Gin Byproducts Into Liquid Fuels And High-Value Chemicals, Emmanuel Asare

Mechanical Engineering Theses

In this study, we performed fast pyrolysis, catalytic fast pyrolysis (CFP), and catalytic hydropyrolysis (CHP) of cotton gin byproducts (CGB) to investigate their conversion into hydrocarbon-rich liquid fuels and high-value aromatic chemicals. Five CGB fractions (CC1, CC2, SM, TM, and FCGB) were collected from different stages of cotton ginning operation and characterized by proximate, ultimate, and higher heating value (HHV) analysis. The feedstocks contained 41.5 44.8 wt.% carbon, 54.2–58.5 wt.% volatile matter, 6.0–15 wt.% ash, and higher heating values of 15.2–16.8 MJ kg⁻¹. All pyrolysis experiments were performed using a Pyroprobe 5200 coupled with GC-MS/FID, while catalyst loading, hydrogen pressure, …


Modular Verification For Network-On-Chip Designs Using Probabilistic Verification And Assume-Guarantee Reasoning, Nicholas Waddoups Aug 2026

Modular Verification For Network-On-Chip Designs Using Probabilistic Verification And Assume-Guarantee Reasoning, Nicholas Waddoups

All Graduate Theses and Dissertations, Fall 2023 to Present

To satisfy increasing demands for computer chip performance in personal computing, mobile devices, and commercial server computing, a modern computer chip is constructed with tens (or hundreds) of small individual computing modules. Each of these modules must communicate with one other to share information about the running state of a computer. Historically, when chips were a few modules a simple communication method sufficied. However, as the number of modules in a chip grew, a more effecient method was needed in order to maintain performance across the system as a whole. A Network-on-Chip (NoC) design is the de-facto communication method for …


The Impact Of Early Exposure To Engineering Concepts In The Form Of Family, School Classes, And Stem Extracurriculars On The Long-Term Sense Of Belonging In Undergraduate Women In Engineering, Hannah Lloyd Aug 2026

The Impact Of Early Exposure To Engineering Concepts In The Form Of Family, School Classes, And Stem Extracurriculars On The Long-Term Sense Of Belonging In Undergraduate Women In Engineering, Hannah Lloyd

All Graduate Theses and Dissertations, Fall 2023 to Present

Engineering continues to struggle with the underrepresentation of women, and many women who begin engineering programs report feeling isolated or uncertain about whether they belong. A strong sense of belonging has been linked to greater confidence, persistence, and success in engineering. This study examined how early experiences with engineering before college may influence students' sense of belonging later in their undergraduate engineering programs.

Using survey responses from undergraduate engineering students across the United States, this study explored several types of early exposure to engineering, including family influence, school-based engineering and STEM courses, extracurricular programs such as robotics clubs and engineering …


Electrokinetic Flow Instabilities In Non-Newtonian Fluids With Conductivity Gradients, Md Mainul Islam Aug 2026

Electrokinetic Flow Instabilities In Non-Newtonian Fluids With Conductivity Gradients, Md Mainul Islam

All Theses

Electrokinetic instabilities (EKI) arise in electrically driven flows because the applied electric field interacts with spatial variations in electrical conductivity, generating electric body forces that can destabilize fluid interfaces. EKI can be beneficial by enhancing mixing in microchannels where diffusion is slow, but it can also be detrimental by disrupting stable sample transport, focusing, and separation. EKI has been widely studied in Newtonian fluids, and the electric Rayleigh number is known to govern the onset of this instability. However, very few studies have examined its behavior in non-Newtonian fluids, despite their prevalence in biological, chemical, and industrial applications. 

This thesis …


A Causal Inference Protocol For Root-Cause Diagnosis In Non-Stationary Industrial Time Series, Cansu Yalim Aug 2026

A Causal Inference Protocol For Root-Cause Diagnosis In Non-Stationary Industrial Time Series, Cansu Yalim

Engineering Management & Systems Engineering Theses & Dissertations

Industrial fault diagnosis increasingly relies on data-driven methods, yet most approaches assume process stationarity and treat association-based rankings as sufficient evidence for root-cause identification. Neither assumption holds when operating phases and fault progression create distinct behavioral regimes with shifting relationships among variables, and neither answers which feasible corrective action would alter a fault trajectory. The absence of a procedure addressing non-stationarity, causal identifiability, and decision-relevant effect estimation constitutes the gap this dissertation targets. In this context, a regime is a time period in which the process operates under a relatively consistent setting, so the relationships among variables are approximately stable …


Evaluation Of General Voronoi Diagram Decomposition For Harmonic Fields In Navigation Of Dynamic Environments, Franco Abullarade Aug 2026

Evaluation Of General Voronoi Diagram Decomposition For Harmonic Fields In Navigation Of Dynamic Environments, Franco Abullarade

Master's Theses

Harmonic potential fields provide provably minimum-free navigation, but any change to the workspace geometry invalidates the field and forces a costly global recomputation, typically restricting them to static environments. This thesis extends the harmonic map framework of Vlantis et al., which maps the free workspace onto a unit disk and uses an atlas of per-region transformations, to dynamic indoor settings. First, we replace their manually annotated room partition with an automatic decomposition based on the Generalized Voronoi Diagram, allowing the atlas to be built from an arbitrary occupancy grid in an automated way. Second, we introduce a localized repair procedure …