Digital Commons Network^™

Efficient Mathematical Modeling And Synthesis Of Realistic Musical Instrument Sounds, Andrew Chookaszian

Master's Theses

This thesis develops and evaluates a compact parametric additive synthesis model for isolated musical instrument tones. The method analyzes a single-note recording, estimates its fundamental frequency, extracts harmonic amplitude and frequency behavior, and stores the sound as a reduced set of interpretable parameters. These parameters include the note duration, pitch, per-harmonic amplitude envelopes, phase information, and amplitude- and frequency-modulation vibrato parameters. The stored model is then used to resynthesize the tone without directly using the original audio waveform.

The model was evaluated using synthetic signals, real instrument samples, objective error metrics, storage comparisons, pitch and duration modification tests, and listening …

A Study On Quantization And Hardware Cost Tradeoffs In A 5g Nr Ldpc Decoder On Fpga, Giancarlo Acosta

Master's Theses

The fixed-point implementation of a 5G New Radio LDPC decoder forces a tradeoff between precision and hardware cost, governed by the variable node word length W_L, the check node message width W_R, and the normalized min-sum correction factor α. This thesis characterizes how these three parameters affect both error correction performance and FPGA resource utilization for an LDPC decoder on an established LDPC decoder architecture. A bit-accurate MATLAB core model records bit error rate (BER) and frame error rate (FER) while a verified HDL Coder model generates synthesizable VHDL for Vivado synthesis, and both are swept …

Deep Learning For Affect Recognition: A Comparative Study Of Physiological Sensor-Based And Facial Image-Based Approaches, Ravi Panchal, Ravi Panchal

Master's Theses

This thesis investigates deep learning approaches for affect recognition using wearable physiological signals and facial image data. The sensor-based component evaluates stress and affect recognition on the WESAD dataset using wrist-based physiological windows and examines multiple temporal modeling strategies, including convolutional, recurrent, hybrid CNN-LSTM, attention-based, ensemble, and time-frequency approaches.

The image-based component evaluates hard-label facial expression recognition on AffectNet+ using pre-trained ResNet-50, EfficientNet-B3, and ConvNeXt-Tiny architectures across Easy, Challenging, and Difficult subsets representing different levels of expression ambiguity.

Experimental results show that the proposed Multi-Branch Attention CNN-BiLSTM (MBA-CNN-BiLSTM) model achieves the strongest wearable stress- and affect-recognition performance among the evaluated …

Design And Implementation Of An Embedded Control System For The Cal Poly Spacecraft Attitude Dynamics Simulator, Neil Mahesh Bedagkar

Master's Theses

This thesis presents the development of a cascaded reaction wheel control system for Cal Poly's Spacecraft Attitude Dynamics Simulator. This work considers system architecture, empirical modeling, high-fidelity simulation, embedded firmware, hardware integration, and experimental characterization. In discrete-time simulation, it is shown that nonlinear direct model reference adaptive control (NDMRAC) enables a nonlinear, partially known plant with realistic actuator dynamics to track the response of a canonical second-order transfer function, with settling time within 4.67% and percent overshoot within order of magnitude of the second-order response. In hardware, the feasibility of a cascaded reaction wheel control architecture is experimentally demonstrated, achieving …

Trustworthy Intelligence Fusion For Search And Rescue: Designing Grounded And Secure Multi-Agent Ai For Mission Decision Support, Yayun Tan

Master's Theses

Search and rescue (SAR) operations require teams to integrate uncertain information under severe time pressure. Large language model (LLM)-based multi-agent systems (MAS) can support decision-making, but they also risk producing hallucinated outputs and processing unreliable or malicious data. This thesis addresses these risks through three linked studies. First, it proposes a modular eight-agent SAR MAS architecture that reflects the structure of real SAR missions by assigning specialized roles to different agents. Second, it introduces a post-hoc probabilistic verification framework that checks LLM agent outputs against a probabilistic knowledge graph built from historical SAR incidents.  Third, the thesis examines indirect adversarial …

Characterization Of The Thermally Driven Red Hue Effect In Coated And Uncoated Concrete Systems: Implications For Post-Fire Assessment In Wildland Urban Interface Communities, Juan C. Palominos Jr

Master's Theses

The increasing frequency and intensity of Wildland-Urban Interface (WUI) wildfires, such as the destructive 2025 Pacific Palisades Fire that destroyed over 6,000 structures, have underscored the urgent need for rapid post-fire safety assessment methodologies. This study sought to quantitatively characterize the Thermally Driven Red Hue Effect (TRHE), a unique, irreversible color shift observed in architectural coatings and concrete substrates, to determine its reliability as a permanent visual record of thermal exposure. Concrete substrates were formulated with three distinct coarse aggregates: gold granite (14.7% Fe), red cinder (22.4% Fe), and green rock (33.6% Fe) and coated with a 20 PVC waterborne …

Integrating Sustainability Into Engineering Education, Riley R. Moller

Master's Theses

Engineering decisions shape lasting technology that affects environmental integrity, public safety, economic stability, and social equity. As global challenges such as climate change, infrastructure vulnerability, and rapid technological advancement intensify, the responsibilities placed on engineers continue to expand. Sustainability provides a framework for addressing these interconnected pressures through systems-based design and long-term thinking. Yet, sustainability education within engineering programs remains unevenly integrated, often positioned as elective or peripheral rather than as a foundational component of professional preparation.

Prior research shows that sustainability is most frequently addressed through stand-alone courses rather than embedded across required curricula, reflecting disciplinary structures that prioritize …

Movement And Space Use Of Weaned Northern Elephant Seal (Mirounga Angustirostris) Pups During Their First At-Sea Foraging Migration, Katie Saenger

Master's Theses

The northern elephant seal (Mirounga angustirostris) is a marine mammal known for engaging in long foraging migrations at sea. Adult male northern elephant seals follow pathways along the western coast of North America towards Alaska and adult female northern elephant seals follow pathways to open ocean in the North Pacific. However, there is little information on weaned northern elephant seal pup foraging behavior during their first foraging migration. This lack of knowledge is significant because northern elephant seals have a mortality rate of >50% in the first year. This project aimed to better understand the at-sea migratory movement …

Reproducing And Evaluating Charger Surfing: Robustness Of Smartphone Charging-Line Side-Channels, Colby M. Watts

Master's Theses

Smartphones are frequently connected to external, untrusted charging hardware, creating opportunities for side-channel attacks that do not require malware or direct access to device data. Charger Surfing, a recently proposed charging-line power analysis side-channel attack, reported high accuracy in inferring touchscreen input from voltage measurements collected from a smartphone’s charging cable; however, the reproducibility and robustness of these results under different conditions remain unclear. This thesis presents an independent replication and evaluation of Charger Surfing, including the development of an end-to-end data collection pipeline consisting of a modified charging cable, oscilloscope-based recordings, custom Android app, automated trace processing, and convolutional …

Improving The Reliability And Performance Of A Supersonic Indraft Tube Wind Tunnel, Christian J. Kaml

Master's Theses

Access to supersonic testing is increasing in demand, and wind tunnels remain one of the safest and most cost-effective methods for gathering high-speed flow data. Despite being more economical than alternative options, supersonic wind tunnel facilities often require substantial investment to construct, operate, and maintain.

The novel indraft tube tunnel architecture was conceived as a high-speed flow testbed that incorporates features of both Ludwieg tubes and indraft wind tunnels to maintain costs low enough to be accessible even to small universities. This design was first developed and tested in 2018 at California Polytechnic State University, featuring a cost per test …

Preserving Structural Alias Information Across The Mlir-To-Llvm Lowering Boundary, Shravan Sheth

Master's Theses

Machine learning training and inference workloads run at massive scale, where the efficiency of generated machine code directly affects throughput and energy consumption. The compilers that lower model specifications to hardware instructions rely on optimization passes that can only exploit information visible in the representations they operate on. MLIR, the intermediate representation framework underlying production machine learning compilers such as IREE and Triton, is designed so that each abstraction level can encode semantics that lower levels cannot represent. One example is memref.subview, which partitions a buffer into typed regions with explicit offsets and sizes, making structural non-overlap provable from the …

Design And Analysis Of A Customizable 6-Dof Force/Torque Sensor, Pyeongkang Kim

Master's Theses

This thesis presents the design, development, calibration, and testing of a novel customizable six-degree-of-freedom force/torque sensor, called the Kustom Force/Torque Sensor (KFTS), for use in the Cal Poly Low Speed Wind Tunnel (LSWT). The KFTS was developed as an alternative to commercial multi-axis force/torque sensors that feature fixed specifications. The swappable components and configurable structure of the KFTS enables changes to the sensor sensitivity, sensing range, and frequency response. Experimental testing verified that the sensor behaved as a linear time-invariant system, enabling calibration through the method of least squares and allowing the applied forces and moments to be reconstructed as …

Effects Of Irrigation And Nitrogen Management On Yield And Leaching Risk In Organic And Conventional Broccoli Fields, Shane Egerstrom

Master's Theses

Under regulatory pressures to reduce groundwater contamination by nitrate from fertilizer, such as those posed by the Central Coast Regional Water Quality Control Board’s Agricultural Order 4.0, a need exists to better understand interactions between irrigation and nitrogen (N) management. To increase N use efficiency (NUE), growers are encouraged to account for additional sources of N in their management plans, such as irrigation water N and preplant soil N. The availability of these N sources for plant uptake and how it is affected by other management conditions is not yet well documented. We conducted 6 field trials, 3 organic and …

Comparative Analysis And Optimization Of Control Strategies For Single Axis Tracking Solar Arrays On Skewed Topography, Emerson Nicholas

Master's Theses

Photovoltaic solar farms on uneven terrain present consistent challenges to performance optimization. Standard backtracking algorithms can generate potential losses due to interrow shading caused by sloped terrain as well as a lack of plane of array irradiance that can occur even on level ground. The purpose of this thesis is to use the Gold Tree site as a case study to develop and evaluate different solar tracking control strategies. Specifically, it compares the relative performance of fixed, direct tracking, closed-form backtracking, and global optimization strategies. It is done under a two-dimensional, idealized predictive power model of a representative portion of …

Political Inconsistency Detection Across Legislative Speech And Public Communications, Scott M. Pramuk

Master's Theses

Political actors communicate about legislation across multiple contexts, including committee hearings, recorded votes, and public-facing press releases. Differences between these forms of communication can provide useful signals for journalists and researchers seeking to understand how legislators present policy positions to different audiences.

This thesis extends the Digital Democracy Project, a legislative transparency initiative that provides access to California state legislative hearing transcripts, voting records, and related legislative data. Specifically, this work incorporates publicly accessible, legislator-authored news releases into the Digital Democracy Database and develops a pipeline for analyzing legislative communication across multiple sources. The system collects news releases from California …

Effect Of The Stacking Sequence And Number Of Ply Orientation In A Quasi-Isotropic Laminated Plate On In-Plane Shear Modulus And Failure Modes, Ann Larson

Master's Theses

Maximizing the shear modulus and strength, as well as predicting failure mode and location, when designing a stacking sequence of quasi-isotropic carbon fiber laminated plates is essential to predict stability, resistance to deformation, and overall stiffness of the structure. This research investigates the effect of the stacking sequence of quasi-isotropic laminated composite plate materials in accordance with ASTM D5379: Standard Test Method for Shear Properties of Composite Materials by the V-Notched Beam Method.

In this research, experimental testing and Finite Element Analysis (FEA) were first used on aluminum to validate the simulation process before applying it to composite materials. The …

Praxsmith: An Actor-Centric Domain Specific Language For Emergent Narratives In Video Games, Jacob C. Kelleran

Master's Theses

The video game industry is rapidly growing, and interest in game development is growing alongside it. Among this growing interest is a desire to include branching and emergent narratives in games. This subject is understood to be difficult, as every possible trajectory within the story creates exponential complexity. Large studios are sometimes able to create convincing implementations, but that is often with hundreds of developers and writers. Over the years, various solutions have been proposed to create frameworks and languages that aim to tackle this problem, with varying degrees of success. Some frameworks attempt this by placing the focus on …

An Evaluation Of Road Network Structure As A Predictor Of Traffic Volume, Colin M. Mcdonald

Master's Theses

This thesis evaluates the relationships between various graph theory metrics and taxi traffic volume for the cities of San Francisco, California and Porto, Portugal. We also evaluate a modified betweenness centrality metric which incorporates the count of distinct origin-destination pairs from the taxi data as the weight function. This thesis extends a paper by Pengyao Ye, Bo Wu, and Wenbo Fan by reducing circularity through a temporal train-test split and by comparing both line-graph and primal-graph formulations of betweenness centrality.

We found that past traffic volume is almost perfectly correlated with future traffic volume and that the modified betweenness centrality …

Multimodal Machine Learning For Soil Burn Severity Mapping Across California Wildfires, Sanjana Checker

Master's Theses

Accurate mapping of soil burn severity (SBS) is critical for post-fire watershed management, erosion risk assessment, and ecological recovery planning, yet traditional field-based approaches remain costly, time-intensive, and spatially limited. This thesis presents a machine learning pipeline for wall-to-wall SBS classification across California wildfires using multi-sensor satellite imagery, terrain derivatives, and bioclimatic covariates. Field-collected SBS observations (n = 2,180) from 52 wildfires occur- ring between 2013 and 2025, sourced from the U.S. Forest Service and CAL FIRE, were used to train and evaluate multiple classification architectures within a Google Earth Engine and Google Cloud-based prediction framework. After upsampling the unburned …

Sustainable Management Of Soilborne Pathogens In Strawberry Production Through Host Resistance And Sanitation Practices, Maria G. Alvarez Arredondo

Master's Theses

Strawberry production in California is significantly impacted by soilborne pathogens that reduce plant productivity and increase management costs. This research addressed management of these pathogens through two independent approaches: evaluation of host resistance in strawberry cultivars and assessment of sanitation practices for reducing pathogen movement between fields.

Macrophomina root rot, caused by Macrophomina phaseolina, was evaluated over two growing seasons (2024–2025 and 2025–2026) using field trials at California Polytechnic State University, San Luis Obispo. In Year 1, disease incidence varied widely among genotypes, with mortality ranging from 1.3% to 88.8% and an average mortality of 26.4%. Area under the …

Research And Assessment Of Needs For Sign And Signal Maintenance, Megan White, Eric Green

Kentucky Transportation Center Research Report

Kentucky Transportation Cabinet (KYTC) sign and signal crews have expressed multiple concerns related to compensation, expertise, and having the financial and personnel resources needed to help the agency comply with Manual on Uniform Traffic Control Devices (MUTCD) guidelines while continuing to perform routine job duties. Internal reorganizations and personnel changes have reduced staffing and budgets available to underwrite the activities of sign and signal crews even as workloads have remained steady or increased. To document the challenges facing sign and signal crews and associated engineering staff, Kentucky Transportation Center (KTC) researchers administered a statewide survey. Respondents gave their perspectives on …

Building And Facility Asset Inventory Assessment And Maintenance, Catherine Keathley, Bethany Paris, Jon Wilcoxson

Kentucky Transportation Center Research Report

The Kentucky Transportation Cabinet (KYTC) manages approximately 1,500 buildings statewide, including facilities such as office buildings, maintenance and equipment garages, and storage sheds. Because managing buildings and properties requires considerable effort, agency decision makers need reliable monitoring and management tools that generate and organize data which can be used to determine the best course of action for facility maintenance and replacement. In addition to assessing the Cabinet’s building inventory, this report advances recommendations to improve the collection, management, and reporting of facility-related data. Assessment of the inventory managed by KYTC included geolocation of all properties and the buildings therein. Once …

Improving The Clinical Trial Landscape For Patients With Atypical Variants Of Alzheimer's Disease, Nick Corriveau-Lecavalier, Neus Falgàs, Deepti Putcha, Jonathan Graff-Radford, Keir X.X. Yong, Baayla D.C. Boon, Rosaleena Mohanty, Eric Westman, Colin Groot, David T. Jones, Lea T. Grinberg, Gil D. Rabinovici, Jennifer L. Whitwell, Liana G. Apostolova, Melissa E. Murray, Dustin B. Hammers, Suzanne E. Schindler, Inga Atonsdottir, Elizabeth K. Rhodus, Jonathan M. Schott, Ignacio Illán-Gala, Ogbuagu Chukwuanugo, Jorge J.Llibre Guerra, Ruth Peters, Erin L. Abner, Carla Abdelnour, Albert Lladó, Renaud La Joie

Epidemiology and Environmental Health Faculty Publications

Patients with atypical variants of Alzheimer's disease (AD) often present at a younger age with predominantly non-amnestic impairments and a more aggressive disease course. Historically, individuals with atypical presentations have not been included in large-scale clinical trials, which typically focus on late-onset, sporadic amnestic-predominant AD. Consequently, treatment options and research efforts specific to atypical AD remain limited. The emergence of amyloid-targeting therapies that slow disease progression underscores these challenges, as evidence supporting their efficacy in early-onset amnestic and non-amnestic AD variants is scarce. This perspective article argues that atypical AD represents an excellent disease model for clinical trials and proposes …

Transportability Analyses In Comparative Effectiveness Research, Blythe Adamson, Wei Liu, Stephen Duffield, Anouk Déruaz-Luyet, Dimitri Bennett, Montse Soriano Gabarró, Mehmet Burcu, Daniela Claudia Moga, Sarah Welby, Tianze Jiao, Xuerong Wen, Grammati Sarri

Epidemiology and Environmental Health Faculty Publications

The Problem: Transportability considerations are increasingly important to answer research questions in comparative effectiveness research (CER) to support the transfer of evidence on medicinal products across countries or settings. As drug development costs rise and healthcare systems and professionals face economic and resource pressures, leveraging existing data and evidence generated across borders or settings can improve efficiency and inform decisions in product development and decision-making (regulatory, health technology assessment [HTA] and clinical care). Differences in population characteristics, healthcare systems, and data availability, including coding discrepancies, may present significant challenges to the transportability of CER evidence. Without rigorous methodological approaches, the …

Understanding The Contribution Of Toxicant Exposures To Alzheimer's Disease And Related Dementias., Gareth R Howell, Paul R Territo, David Aylor, Lee E Goldstein

Faculty Research 2026

Alzheimer's disease and related dementias (AD/ADRD) are modulated by gene-environment (GxE) interactions across the lifespan. Variants of specific genes increase AD risk and synergize with exposures to environmental toxicants ("exposome"), including neurotoxic metals and metalloids such as lead (Pb), cadmium (Cd), and arsenic (As). These neurotoxicants enter the body (via drinking water, contaminated food, and airborne particulates), transit in blood, cross the blood-brain barrier, and distribute in brain where the retained toxicant disrupts central nervous system development, structure, and function. Chronic exposure to these ubiquitous toxicants is common in disadvantaged communities, raising concerns about health risk disparities linked to geographic, …

Brief Of Evidence – Bill C-16 Protecting Victims Act, Emma Cunliffe

All Faculty Publications

This brief focuses specifically on the proposal in Bill C-16 to create a new criminal offence of coercive control and the absence of any correlate defence for offences committed by a person who is subject to coercion. Reviewing evidence from research in other jurisdictions that have adopted such an offence (Scotland, England and Wales, and the Australian jurisidictions of NSW and Queensland), as well as Canadian research, there is abundant evidence to suggest that more criminal law, including new offences, will not necessarily increase women’s safety; and in fact, can be predicted to expose women to greater risk of harm …

"I Just Broke Down": Critical Care And Secondary Traumatic Stress In Multilingual Schools, Elaine Allard, Barbara Thelamour, Yusra Ali , '24, Naw Hser Nay Paw , '27

Educational Studies Faculty Works

Drawing on nearly a decade of qualitative data collection and educator engagement at an immigrant-serving high school in Philadelphia, this essay explores the intersections of critical multilingual pedagogy with secondary traumatic stress (STS). STS is a mental health condition impacting professionals who work closely with trauma-impacted individuals, which can adversely impact their job satisfaction and career trajectories. Weaving teacher accounts with scholarship on critical care, STS, and teachers’ working conditions, the authors paint a complex picture of how, in spite of its myriad benefits for students, critical care can increase educators’ risk of developing STS in multilingual, immigrant- serving schools, …

A Novel Hexagonal-Zigzag Cellular Infill Structure For Additive Manufacturing, Md. Saidur R Roney, Amm Nazmul Ahsan, Prosenjit Barua

Manufacturing & Industrial Engineering Faculty Publications

The rigidity of the Additively Manufactured objects can be tailored by manipulating the infill lattice type and density. In this research, an island type novel infill structure termed as Hexagonal-Zigzag pattern is introduced, and its mechanical performance is investigated. In this pattern, the zigzag raster reflects the repeating hexagonal shaped cell constituting the parallel-oriented islands and 90° rotation of the pattern in each layer distributes the island span along both transverse and longitudinal directions of the printing contour. A mathematical model is established to illustrate the effect of the infill parameters on hexagon unit cell size and relative infill density. …

Recreational Fishing Identification Guide, Department Of Primary Industries And Regional Development, Western Australia

Fisheries Occasional Publications

Please note: this updated version (9th edition) published in June 2026 replaces the version published in 2023.

This guide has been developed to help you identify the more common species in Western Australia that you may encounter. The purpose of this guide is to enhance consistent and accurate species identification.

If you are unsure about a particular species (or if it is not in this guide), please discuss it with a representative of the Department of Primary Industries and Regional Development, Western Australia. You can access additional information from dpird.wa.gov.au

Throughout this guide you will see all or some of …

Recreational Fishing Location Guide, Department Of Primary Industries And Regional Development, Western Australia

Fisheries Occasional Publications

Please note: this version (6th edition) published in 2026 replaces the version published in 2023.

This guide has been developed to help you identify the fishing locations that you may visit. The purpose of this guide is to enhance consistent and accurate identification of fishing locations and block numbers within each Bioregion. If you are unsure about a particular location, please discuss it with a representative of the Department of Primary Industries and Regional Development, Western Australia.