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Articles 211 - 240 of 77188
Full-Text Articles in Engineering
Engineering Nanoelectrocatalytic Systems For Co2 And Nitrate Conversion Into Value-Added Chemicals, Abdelrahman Mohamed Abdelmohsen
Engineering Nanoelectrocatalytic Systems For Co2 And Nitrate Conversion Into Value-Added Chemicals, Abdelrahman Mohamed Abdelmohsen
Theses and Dissertations
The thesis addresses two major related environmental crises: nitrate pollution of water systems and the ever-increasing levels of atmospheric carbon dioxide. Both challenges are closely linked to anthropogenic disturbance of nitrogen and carbon cycles and require sustainable, energy efficient mitigation techniques. In this study, we investigate electrochemical conversion routes as a unified approach to convert these pollutants into value-added compounds: ammonia (NH3) via nitrate reduction (NO3-RR) and ethylene (C2H4) via carbon dioxide reduction (CO2RR). The first half of this work deals with the design and engineering of Cu-Zn alloy electrocatalysts for efficient NO3-RR. Tuning the alloy composition and surface nanostructure …
Tuning Ion Mobility And Molecular Confinement In High-Performance Polymer Electrolytes For Energy Storage, Ezzeldien Yousef Muhammed Yousef
Tuning Ion Mobility And Molecular Confinement In High-Performance Polymer Electrolytes For Energy Storage, Ezzeldien Yousef Muhammed Yousef
Theses and Dissertations
This research addresses the critical energy density limitations of aqueous supercapacitors, which are traditionally constrained by the narrow electrochemical stability window (ESW) of water 1.23 V. By employing two distinct molecular engineering strategies, this study developed high-performance electrolyte systems that significantly extend voltage stability and thermal resilience.
The first system, CsBr@PAM/HA, utilizes a polyacrylamide and hyaluronic acid hydrogel matrix. This system exploits the chaotropic nature of Cs+ ions to disrupt the aqueous hydrogen-bonding network, enhancing ionic conductivity to 104 mS cm-1. Through systematic salt screening, CsBr was identified as the optimal electrolyte, enabling a stable 2.0 V …
Energy Efficient Load Balancing In Multi-Band Cellular Networks Via Reinforcement Learning, Ahmed Shoukry El Soukkary
Energy Efficient Load Balancing In Multi-Band Cellular Networks Via Reinforcement Learning, Ahmed Shoukry El Soukkary
Theses and Dissertations
This thesis investigates energy-efficient load balancing in homogeneous multi-band cellular networks through the joint design of user association (UA) and transmit power allocation (PA). The original mixed-integer nonlinear formulation is decomposed into two coupled yet tractable subproblems: a UA stage and a PA stage for high-frequency bands. For UA, a SINR-ratio-based heuristic is proposed to prioritize users that are most sensitive to suboptimal band assignments, and it is benchmarked against a Max- SINR baseline. For PA, the high-band power control problem is addressed using reinforcement learning, where a Proximal Policy Optimization (PPO) agent learns power levels and band-activation decisions under …
Flexible-Mode Multi-Skilled Resource-Constrained Project Scheduling Problem With Setup Times: Application In The Oil And Gas Industry, Safinaz M. El Dawody
Flexible-Mode Multi-Skilled Resource-Constrained Project Scheduling Problem With Setup Times: Application In The Oil And Gas Industry, Safinaz M. El Dawody
Theses and Dissertations
Turnaround maintenance (TAM) in the petroleum refining sector requires coordinating geographically dispersed project portfolios under stringent resource, schedule, and budget constraints. Conventional scheduling models treat tasks in isolation, failing to account for shared resources, crew fatigue, or inter-site transit. To bridge this gap, this study introduces and empirically validates a Flexible-Mode Multi-Skilled Resource-Constrained Project Scheduling Problem with Setup Times (FM-MS-RCPSP-ST). Applied to a real-world portfolio of 76 TAM projects across five governorates in Egypt, the framework is operationalized through an 11-stage pipeline integrating NSGA-II multi-objective optimization, GIS-based routing, and 500-trial Monte Carlo disruption simulations.
Results demonstrate that incorporating mandatory crew-rest …
Air-Writing Recognition, Gaurang Shukla
Air-Writing Recognition, Gaurang Shukla
Master’s Dissertations
Air-writing is the act of tracing characters or words in free space with a fingertip, recorded by a camera, giving a touch-free input modality for smart displays, augmented and virtual reality, and assistive interfaces. It is difficult because the finger never lifts: connecting strokes join adjacent letters with no pen-up signal to mark boundaries, and the same word varies widely in scale, position, and slant across writers. The WiTA benchmark of Kim et al. provides a large, person-disjoint dataset and a baseline that treats each clip as RGB video, recognised by a spatio-temporal 3D residual network trained with a CTC …
From Aspiration To Obligation: A Contractual Sustainability Framework For The Egyptian Construction Industry, Salma Ali
Theses and Dissertations
The construction industry is responsible for approximately 40% of global energy consumption and 35% of total waste generation, making it one of the most significant contributors to the global sustainability challenge. In Egypt, that challenge takes a specific contractual form. Egypt’s construction sector contributes approximately 23% of national energy consumption, yet the survey findings reveal that 63.5% of construction professionals report that sustainability clauses rarely or never appear in contracts, and only 11.5% confirm the presence of enforceable provisions with measurable targets. This gap is structural rather than attitudinal. Competitive procurement penalises voluntary sustainability investment, and without contractual obligation, awareness …
Thrivetogether – A Community-Drivenwellness Platform Powered By Ai, Isaac Soto, James Hunter, Ethan Nguyen, Nathan Shimada
Thrivetogether – A Community-Drivenwellness Platform Powered By Ai, Isaac Soto, James Hunter, Ethan Nguyen, Nathan Shimada
Computer Science and Engineering Senior Theses
ThriveTogether is a wellness platform powered by artificial intelligence that is designed to help users create personalized fitness and nutrition plans through a combination of community-shared content and intelligent personalization systems. The platform is developed to support people at all stages of their health journey, including beginners and users with physical limitations, by providing accessible and adaptable wellness guidance. Unlike many existing health applications that rely on generalized advice or costly personalized services, ThriveTogether emphasizes affordability, inclusivity, and practical usability through user-generated recipes, workout plans, and nutrition plans while also enhanced by trusted nutritional sources through a rule-based validation system. …
Jalzap: An Agile Hybrid For Ai-Accelerated Software Development, Pouya Nouri
Jalzap: An Agile Hybrid For Ai-Accelerated Software Development, Pouya Nouri
University Honors Theses
The rapid adoption of generative AI tools allows software teams to quickly code applications, but it comes at a cost: high scope volatility, technical debt, and unrealistic expectations, which break traditional Agile frameworks. This thesis introduces JALZAP, a lightweight, hybrid Agile framework designed to serve small, high-agility teams facing compressed timelines and unpredictable schedules. This framework was evaluated over 16 weeks through a Portland State University Capstone project working for a pre-seed startup sponsor, where a six-person team built Flowmind: an AI-powered iOS task management app meant to serve users with neurodevelopmental disorders like ADD/ADHD. JALZAP implements structural boundaries, including …
Adaptive Design Strategies For A Dual-Shaft Pvc Shredder, Gavin Balderas
Adaptive Design Strategies For A Dual-Shaft Pvc Shredder, Gavin Balderas
University Honors Theses
This capstone project involved the design and development of a mid-size plastic shredder, created to process strong, ductile PVC sheets up to ½" thick. This application falls between the capabilities of consumer grade plastic shredders and heavy-duty industrial machines. Over 400 million tons of plastic produced annually and less than 10% of it is recycled; there is an ever-growing need for plastic recycling accessibility and infrastructure. This project aimed to create a compact dual-shaft shredder that can shred thick PVC sheets while being powered by a 120V outlet. Research into blade geometry and orientations aided an iterative design process driven …
Semantic Directing: A Human-Ai Workflow For Interative Virtual Cinematography, Lejie Liu
Semantic Directing: A Human-Ai Workflow For Interative Virtual Cinematography, Lejie Liu
Dartmouth College Master’s Theses
This thesis presents AI Director, a Unity-based prototype for semantic directing in virtual cinematography. The system enables creators to describe cinematic intent in natural language, receive editable shot-strategy plans generated by a large language model, and refine specific shots through text and visual references. By separating semantic planning from deterministic camera execution, the workflow keeps user authorship centered on shot intent while making the resulting camera plans inspectable, editable, and executable in real time. This work explores semantic directing as a human-AI workflow for iterative cinematic authoring in dynamic 3D scenes.
Universal Communications Module: Converting Ieee2030.5 Xml Files To Ansi/Cta-2045, Wyatt Bilodeaux
Universal Communications Module: Converting Ieee2030.5 Xml Files To Ansi/Cta-2045, Wyatt Bilodeaux
University Honors Theses
The goal of this thesis is to discuss the method and organization of the Universal Communication module capstone project. This project was part of the Portland State University Electrical engineering degree program. While this thesis is part of the University honors curriculum. This thesis goes into detail about team structure and how a 9 person engineering capstone project was managed and organized. It looks at how we broke down the project into sections to be able to properly distribute our resources. This was one of the earliest and most important challenges that this capstone team had to tackle. This was …
Rapid-Prototyping Nanofabrication: Lcd-Based Projection Lithography And Physical Vapor Deposition, Sabeel Saleem Mohammmed
Rapid-Prototyping Nanofabrication: Lcd-Based Projection Lithography And Physical Vapor Deposition, Sabeel Saleem Mohammmed
University Honors Theses
The semiconductor industry's continued growth, driven in large part by demand for artificial intelligence hardware, has highlighted the need for greater workforce development in regions adjacent to major fabrication centers like Oregon's Silicon Forest. This capstone project lays the groundwork for a small scale and student led semiconductor fabrication lab at Portland State University by demonstrating two of the core steps in chip manufacturing: photolithography and thin film deposition. Rather than relying on conventional fixed reticles, this work explores a unique, low cost approach to patterning that uses an ultraviolet-compatible liquid crystal display (LCD) as a programmable reticle, allowing arbitrary …
Fluorescence Cryotomography For Preclinical Validation: Applications In Gene Therapy And Fluorescence-Guided Surgery, Caleb Y. J. Kwon
Fluorescence Cryotomography For Preclinical Validation: Applications In Gene Therapy And Fluorescence-Guided Surgery, Caleb Y. J. Kwon
Dartmouth College Ph.D Dissertations
Fluorescence imaging has become a powerful tool in biomedical research and clinical practice, offering molecular specificity and high sensitivity for visualizing biological processes in real time, However, the successful translation of novel fluorescent probes or medicines from preclinical development to clinical applications requires rigorous validation of their biodistribution and target specificity. Traditional methods for assessing performance, such as bulk excised organ analysis or two-dimensional histology, provide limited information as they cannot capture the complete, organism-wide distribution of these probes or medicines. This thesis aims to improve this analysis pipeline through the application and optimization of fluorescence cryotomography for quantitative, high-resolution …
Interactive Social Game Design For Sustainability Learning, Kayla Mattson, Kayla Huffman, Megha Thottam, Shreeya Koritala
Interactive Social Game Design For Sustainability Learning, Kayla Mattson, Kayla Huffman, Megha Thottam, Shreeya Koritala
Computer Science and Engineering Senior Theses
Our Roots is a community-centered, web-based social game designed to improve sustainability education by turning everyday environmental actions into shared, visible progress. While many existing tools provide information about sustainability, they often focus on individual tracking and short-term motivation, which can lead to disengagement over time. This project addresses that gap by reframing sustainability as a social practice: users log real-world sustainable behaviors, earn points, and see those actions represented as growth in both personal and community digital gardens. By combining friendly competition, peer visibility, and collective outcomes, the platform encourages users to view sustainability not as an isolated task, …
A Computational Micropatterning Approach To Study Caveolae And Protein Localization In Vascular Biology, Andrew B. Grespin
A Computational Micropatterning Approach To Study Caveolae And Protein Localization In Vascular Biology, Andrew B. Grespin
Electronic Theses and Dissertations
Caveolae are specialized, flask-shaped membrane invaginations highly expressed in endothelium and dysregulated in atherosclerosis. Caveolae play a central role in buffering membrane tension, yet the principles governing their spatial organization remain elusive. Thus, we sought to generate the most comprehensive and systematic analysis of blood vessel caveolar spatial organization. However, cell culturing, the backbone of human-focused biological research, does not standardly do well to model physiologically relevant cell behaviors such as migration or polarity-based tissue formation, particularly for punctate proteins and structures like caveolae. Micropatterns are cell-adhesive shapes that biophysically confine cell(s) to a user defined geometry which stereotype organelle …
A Parallelized Multi-Component Radiation Testing Methodology For Systems-On-Chip, Weston M. Smith
A Parallelized Multi-Component Radiation Testing Methodology For Systems-On-Chip, Weston M. Smith
Theses and Dissertations
As the space industry expands, there is an increased reliance on system on chip (SoC) devices in high radiation environments. The reliability of these devices becomes crucial, especially in space applications. The industry's rapid growth has led to a massive expansion in the use of Commercial Off-The-Shelf (COTS) components. Electronic systems are vulnerable to single event upsets (SEUs) and the failure modes caused by SEUs are not fully understood, especially for COTS SoCs. Standard radiation testing techniques of SEUs use a single core of a multi-core processor to monitor bit flips. In this work, we present a parallelized radiation testing …
Mixed-Signal Intergrated Circuit Design And Fabrication, Jack Demeulemeester, Aris Ozark, Alan Rieger
Mixed-Signal Intergrated Circuit Design And Fabrication, Jack Demeulemeester, Aris Ozark, Alan Rieger
Electrical and Computer Engineering Senior Theses
Integrated circuit design is a key aspect of the quickly-growing semiconductor industry. Familiarity with high-level design, layout, and validation is critical for students seeking an industrial or academic career in the field. Learning full-stack design at an academic institution is made difficult by the amount of resources required and limited timeframe. In this project, we develop a thermometer-coded digital-to-analog converter from concept to fabrication as a means to create a new integrated circuit design and fabrication course at Santa Clara University. We also develop a design flow using software from Cadence Design Systems and the 250 nm CMOS process node …
A Novel Design-For-Test Flow Using Librelane, Mohamed E. Gaber
A Novel Design-For-Test Flow Using Librelane, Mohamed E. Gaber
Theses and Dissertations
Design-for-testing is a crucial element of application-specific integrated circuit design, yet, in the nascent open-source electronic design automation scene, the solutions for it are sorely limited. Design-for-test-enabled chips allow defects to be caught early on in the manufacturing process, avoiding incurring huge costs if hardware with defective chips is shipped to equipment manufacturers or, worse, end-users. Yet, the current open-source solutions rely on a brute-force utility that does not scale and negatively impacts the design by holding design-for-testing features as co-equal with the design’s regular operation, and a nominally layout-aware solution that does not holistically integrate into a larger flow. …
Bouillean - Ai Recipe Model, George Mouratoff, Hanol Yang, Helen Wang, Sebastian Verbinski
Bouillean - Ai Recipe Model, George Mouratoff, Hanol Yang, Helen Wang, Sebastian Verbinski
Computer Science and Engineering Senior Theses
AI generated food recipes are the second most desired AI innovation, however relatively few commercial systems exist to fill this niche. This is because while the solution is highly desired, cooking shouldn’t be approached with the same method by most LLMs and standard AIs. The leading models struggle to solve the issue of generating a semantically clear recipe while maintaining memory of the recipe status between steps. This is before we can even attempt to solve the flavor problem.
Cooking represents a unique challenge for AI, since it requires minimal loss in memory alongside already high quality text generation making …
Enhancing The Performance Of Brain-Computer Interfaces Via A Spatially-Aware Framework, Ahmed Ayman Eloraby
Enhancing The Performance Of Brain-Computer Interfaces Via A Spatially-Aware Framework, Ahmed Ayman Eloraby
Theses and Dissertations
Electroencephalography (EEG)-based brain–computer interfaces (BCIs) provide a non-invasive pathway for communication, with the P300 speller being one of the most established paradigms. Despite its practicality, EEG signals present inherent challenges, including low signal-to-noise ratio, high dimensionality, and limited spatial resolution. These characteristics complicate the extraction of discriminative spatial patterns, which are critical for accurate P300 detection and character-level decoding.
This thesis addresses these challenges through the development of AttenPCA-Net, a deep learning framework that integrates spatially-aware processing with dimensionality reduction. Principal Component Analysis (PCA) is employed to reduce redundancy and noise while preserving the most informative components of the EEG …
An Integrated Sensor-Fusion Framework For Performance-Based Compensation In Construction, Aly Ayman El-Ashry
An Integrated Sensor-Fusion Framework For Performance-Based Compensation In Construction, Aly Ayman El-Ashry
Theses and Dissertations
Construction productivity has historically stagnated due to a reliance on subjective labor monitoring and “lagging” performance indicators. This research proposes a novel compensation model with the use of Total Energy Management System (TEMS) to translate labor effort and efficiency into payment incentives with the integration of Internet of Things (IoT) wearables and Statistical Process Control (SPC) charts.
This research addresses the systemic problem of declining construction productivity caused by industry’s inability to objectively quantify human effort. While traditional models rely on post-facto production tallies, a significant research gap exists in real-time physiological labor monitoring. To bridge this, the proposed TEMS …
Developing Custom High Resolution 3d Printers For Microfluidic Device Fabrication, Dallin Scott Miner
Developing Custom High Resolution 3d Printers For Microfluidic Device Fabrication, Dallin Scott Miner
Theses and Dissertations
The advancement of microfluidics in biomedical diagnostics and lab-on-a-chip systems is increasingly dependent on the ability to fabricate complex, three-dimensional architectures with high-resolution negative features. While Digital Light Processing Stereolithography (DLP-SLA) has emerged as a leading fabrication method, it remains constrained by a fundamental trade-off between feature resolution and build volume, as well as challenges regarding fabrication consistency and design accessibility. This dissertation presents an integrated ecosystem of hardware, materials, and software designed to overcome these barriers and enable scalable, high-resolution microfluidic fabrication. We first introduce a novel multi-resolution 3D printing technique utilizing a dual-optical engine architecture, comprising a Very …
Evaluating C-Band Scatterometer Images For Estimating Deforestation In The Amazon Rainforest, Alex Mcbride
Evaluating C-Band Scatterometer Images For Estimating Deforestation In The Amazon Rainforest, Alex Mcbride
Theses and Dissertations
Satellite-based active microwave sensors have been successfully employed for a wide range of vegetation and soil studies. Spaceborne microwave instruments have proven particularly useful for wide-scale monitoring of the vegetation, especially under conditions that limit the effectiveness of high-resolution optical sensors. Satellite scatterometry can be used to detect and model deforestation in the Amazon rainforest by correlating changes in the C-band backscatter data to observed changes in vegetation coverage. The exploratory methodology developed in this paper applies the longest continuous microwave satellite record to the problem of deforestation. The backscatter measurements taken by the ERS and ASCAT missions provide more …
Ai In Precision Medicine: Redefining Blindness Treatment Via Retinal Stem Cell Differentiation, Calissa Leong, Tiffany Nguyen
Ai In Precision Medicine: Redefining Blindness Treatment Via Retinal Stem Cell Differentiation, Calissa Leong, Tiffany Nguyen
Interdisciplinary Design Senior Theses
Age Macular Degeneration (AMD) is currently the leading cause of blindness, driven by the degradation of Retinal Pigment Epithelial (RPE) cells. Stem-cell based therapies, particularly those involving induced pluripotent stem cells (iPSCs), typically consists of differentiating stem cells into RPE cells in vitro and transplanting them into the subretinal space. Our goal is to improve the accuracy of differentiation into RPE cells to better promote retinal regeneration. Traditional methods to alleviate symptoms of AMD is through therapeutic medications to slow disease progression, though stem cell therapy has emerged as a promising alternative. However, despite its potential, stem cell therapy presents …
The Impact Of Using Microencapsulated Phase Change Materials In Asphalt Binder And Mixtures, Ayyaz Fareed
The Impact Of Using Microencapsulated Phase Change Materials In Asphalt Binder And Mixtures, Ayyaz Fareed
Theses and Dissertations
Asphalt concrete is a widely used paving material for roadway construction; however, pavement distresses such as thermal cracking (non-load associated), fatigue cracking (load-associated), and rutting (permanent deformation) continue to challenge the performance and longevity of flexible pavements. These issues diminish ride quality, reduce service life, and contribute to increased maintenance needs. Several modifiers, including polymers and fibers, have been used to mitigate pavement deterioration, yet improving the thermal response of asphalt mixtures remains a significant concern, particularly in climates with substantial temperature fluctuations. Microencapsulated Phase Change Materials (MPCMs) have recently emerged as a promising solution due to their ability to …
Educational Smart Ai Multi-Functional Robot, Chengxu Tang, Jiayan Wen, Bill Zhang
Educational Smart Ai Multi-Functional Robot, Chengxu Tang, Jiayan Wen, Bill Zhang
Electrical and Computer Engineering Senior Theses
Over the past decade, advances in embedded computing, robotics frameworks, and AI have significantly lowered the barrier to developing intelligent robotic systems. Some single board computers such as the Raspberry Pi are now capable of running operating systems like Ubuntu and frameworks such as ROS2, allowing us to build robots that can perform tasks including autonomous navigation, computer vision, sensor fusion, and speech interaction. As a result, technologies that were once limited to large research labs are becoming increasingly accessible in educational and lower level research environments.
At the same time, recent developments in AI have changed expectations for how …
Ora (Oneball Robotic Arm), Isabella Murillo, Juan Pablo Fernandez Garza, Gabriel Kotab, Catherine Epstein
Ora (Oneball Robotic Arm), Isabella Murillo, Juan Pablo Fernandez Garza, Gabriel Kotab, Catherine Epstein
Electrical and Computer Engineering Senior Theses
Confined spaces are dangerous and awkward to navigate environments, often putting those who work in them at risk. To reduce effort and human exposure to these hazards, robotic systems can be used to navigate and inspect these areas to limit, or even eliminate the need for human presence in confined spaces. This project proposes an autonomous robot that can navigate confined spaces while sending data back to the user. The robot features a spherical body that is capable of a zero rotational axis, with an external, magnetically attached head. This head contains scanners or tools that the user can remotely …
A Peer Evaluation Of Safety At Signalized Intersections, Auzton Mitchell Stutts
A Peer Evaluation Of Safety At Signalized Intersections, Auzton Mitchell Stutts
Theses and Dissertations
The Utah Department of Transportation (UDOT) has made significant efforts to reduce crashes at signalized intersections and is constantly seeking to improve safety across the state. The purpose of this research is to quantify and evaluate the safety rates and frequencies at signalized intersections in Utah compared to other states. Once the crashes have been quantified, the secondary purpose is to determine why there may or may not be differences. A survey was developed to understand how states analyze, prioritize, and implement safety at signalized intersections, including different policies, procedures, and countermeasures. Crash data from eight states were analyzed and …
Adopting Critical Power Grid Infrastructure Technologies: An Organizational Cybersecurity Assessment Against Ransomware, Fayez Alsoubaie
Adopting Critical Power Grid Infrastructure Technologies: An Organizational Cybersecurity Assessment Against Ransomware, Fayez Alsoubaie
Dissertations and Theses
For many years, researchers and practitioners have studied emerging technologies in field of energy production and distribution. Power grid systems carry major weights in the energy branch of the economy. Researchers and scientists have been interested in finding ways to connect the power grid gap and improve protection for its technologies.
The research supports organizational adoption and prioritization of critical cybersecurity technologies for ransomware protection in power grid infrastructure. As utilities increasingly integrate digital technologies, they become more vulnerable to sophisticated cyberattacks that can disrupt services and put public safety at risk. The main focus of the study is to …
Design Of Precise Hinges For Optical Space Arrays, Jacob Sutton
Design Of Precise Hinges For Optical Space Arrays, Jacob Sutton
Theses and Dissertations
Deployable origami-based arrays offer significant advantages for space optical systems due to their ability to stow compactly and deploy to a large surface area. However, achieving the panel alignment precision required for optical applications remains an open challenge, particularly for non-rigid-foldable patterns such as the flasher, where large relative motion during deployment and geometric constraints at panel interfaces limit the effectiveness of traditional hinge designs. This thesis addresses the precision alignment challenge through the design, prototyping, and experimental testing of novel passive precision hinges for rigid-panel origami-based deployable space arrays. A compact kinematic coupling hinge incorporating Lamina Emergent Torsional (LET) …