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A Comparative Study Of Model Predictive Control And The Stanley Method For Vehicle Path Tracking Applications, Noah S. Fitzgerald Jun 2026

A Comparative Study Of Model Predictive Control And The Stanley Method For Vehicle Path Tracking Applications, Noah S. Fitzgerald

Master's Theses

This thesis compares a model predictive controller (MPC) and a lateral Stanley controller for vehicle path-tracking applications under simulation-based and perception-driven operating conditions. Both controllers were evaluated in simulation using a nonlinear dynamic bicycle model executing single and double lane change maneuvers. Following simulation-based evaluation, both controllers were implemented on hardware within a perception-driven steering-control pipeline. This pipeline utilized recorded sensor data from the MXcarkit 1/8th-scale autonomous vehicle platform, incorporating lane instance segmentation and homography-based roadway estimation.

Under idealized simulation conditions, the MPC demonstrated improved trajectory-tracking performance during aggressive maneuvers while requiring greater steering activity and computational effort …


Constructing Orthonormal Bases With The Residuals Of Successive Approximations, An Introduction To Multiresolution Analysis, Elijah J. Guptill Jun 2026

Constructing Orthonormal Bases With The Residuals Of Successive Approximations, An Introduction To Multiresolution Analysis, Elijah J. Guptill

Master's Theses

Wavelets and wavelet analysis are used in the study of signal processing, quantum field theory, functional analysis, multifractal analysis, and various other areas of mathematics. Multiresolution analysis provides a framework for building a wavelet basis of $\mathcal{L}^{2}(\mathbb{R})$ from a scaling function $\phi$, whose dyadic dilations and translations, $\{2^{j /2}\phi(2^{j}x-k):j,k\in \mathbb{Z}\}$, approximate $\mathcal{L}^{2}(\mathbb{R})$. One of the key properties of  $\phi$ is that it must satisfy $\phi(x)=\sum_{k\in \mathbb{Z}}{p_{k}2^{j /2}\phi(2^{j}x-k)}$ with respect to the norm on $\mathcal{L}^{2}(\mathbb{R})$. This equation is called a two-scale difference equation. Such equations enforce a regularity on the ordinary generating function $2^{-1 /2}\sum_{k\in \mathbb{Z}}{p_{k}z^{k}}$, known as the quadrature condition. …


Discrete S-Band Low-Noise Amplifier Designs For High Data-Rate Cubesat Uplink, Alejandro Martin Cosper, Alejandro Cosper Jun 2026

Discrete S-Band Low-Noise Amplifier Designs For High Data-Rate Cubesat Uplink, Alejandro Martin Cosper, Alejandro Cosper

Master's Theses

In the world of small satellites, there is growing interest in higher-data-rate systems and the technologies that enable them. Due to limitations in the extremely reliable and proven Ultra-High Frequency (UHF) systems, the current CubeSats developed by the Cal Poly CubeSat Laboratory operate at 9600 Baud. However, the low Baud rate is rooted in decades of proven flights and is very resistant to many forms of signal degradation. While a slow but simple system was critical to past successes, future satellite payloads may require higher data rates to drastically reduce the number of passes needed to transfer large amounts of …


A Study On Quantization And Hardware Cost Tradeoffs In A 5g Nr Ldpc Decoder On Fpga, Giancarlo Acosta Jun 2026

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 WL, the check node message width WR, 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 Jun 2026

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 …


Me3329 Modular Phonograph Gearbox, Garrett Andrik Leighton, Preston Robert Hupe, Gavin Carter Ebner, Andrew Renato Reyes Jun 2026

Me3329 Modular Phonograph Gearbox, Garrett Andrik Leighton, Preston Robert Hupe, Gavin Carter Ebner, Andrew Renato Reyes

Mechanical Engineering

The Mechanical Engineering Department at California Polytechnic State University, San Luis Obispo (Cal Poly), seeks to develop a laboratory tool allowing students to reinforce concepts of gears for Mechanical Systems Design (ME329). Some current laboratories do not provide students with hands-on interaction, and the department lacks equipment and documentation to support a standardized lab. With ME329 expanding from ten to fifteen weeks, there is an opportunity to create a physical gearbox design lab allowing students to reinforce lecture material in engaging ways, while standardizing student learning. This senior project is presented and sponsored by Professor Alan Zhang. It will be …


Collagen Gene Expression Is Linked To Aging And Lifespan Extension In C. Elegans, Archer J. Wang, Blake M. Geppert, Daniel Beck, Yanqing Ji, Yiyong Liu Jun 2026

Collagen Gene Expression Is Linked To Aging And Lifespan Extension In C. Elegans, Archer J. Wang, Blake M. Geppert, Daniel Beck, Yanqing Ji, Yiyong Liu

Electrical & Computer Engineering Faculty Scholarship

Collagens, long regarded as structural molecules, also regulate stress responses and longevity. In this study, we analyzed our RNA sequencing data and publicly available gene expression data to define their role in Caenorhabditis elegans aging. Collagen expression broadly declined with age, with 16 collagen genes consistently downregulated across independent studies, establishing collagen downregulation as a genetic hallmark of aging. In contrast, meta-analysis of 66 datasets (128 comparisons between normal and long-lived animals) showed collagen upregulation in 84% of long-lived conditions, identifying collagen induction as a conserved signature of lifespan extension. Using π-values to integrate fold change and significance of …


Develop & Test Radar Assignments For Future Graduate Curriculum, Thomas Ky Hong, Christopher William Hoferer Jun 2026

Develop & Test Radar Assignments For Future Graduate Curriculum, Thomas Ky Hong, Christopher William Hoferer

Electrical Engineering

With Cal Poly’s switch to semesters, many upper-level electives lack enough depth and structured content for the new 15-week format. In addition, while the Electrical Engineering department currently offers approximately five weeks of RADAR-focused laboratory material within EE 424: Intro to Remote Sensing, this limited exposure is insufficient to provide students with a comprehensive understanding of RADAR theory and practical applications. The semester conversion presents a timely opportunity to expand this existing five-week RADAR segment into a full 15-week course that integrates both lecture and laboratory content. To address the current curriculum gap, we have seamlessly extended the RADAR exercises …


Vision-Guided Motion Planning For Autonomous Catch With A Robotic Arm, Kayla Go-Oco, Ashik K. Islam, Raegan Gritzmacher Jun 2026

Vision-Guided Motion Planning For Autonomous Catch With A Robotic Arm, Kayla Go-Oco, Ashik K. Islam, Raegan Gritzmacher

Electrical Engineering

Modern robotic systems are often evaluated using static and highly controlled tasks, such as pick-and-place demonstrations, which do not fully represent the uncertainty and adaptability required in real-world environments. A major challenge in robotics research is enabling robotic systems to perceive, track, and respond to dynamic objects in real time while maintaining accurate and reliable motion control. This project addresses these challenges by developing an autonomous robotic platform in which an OpenMANIPULATOR-Y robotic arm detects, tracks, and attempts to catch a moving tennis ball using a vision-guided control system. The system integrates YOLO-based object detection with an Intel RealSense D455 …


2–4 Ghz Reconfigurable Rf Filters, Jason Corn, Roman Junes Jun 2026

2–4 Ghz Reconfigurable Rf Filters, Jason Corn, Roman Junes

Electrical and Computer Engineering Senior Theses

Wireless communication systems employ radio frequency (RF) filters to isolate desired signals while suppressing interference and noise. Conventional RF filters rely on fixed-frequency architectures that restrict system operation in increasingly dynamic communication environments. This project features the design and optimization of a reconfigurable RF filter prototype using coupled microstrip resonators and electronic tuning components. The filter design demonstrates a tunable range of 2−4 GHz. Future design of reconfigurable microstrip architectures must take steps to maintain signal integrity across active elements. Power loss may be mitigated through the selection of higher quality factor components and less lossy prototyping materials.


Custom Animatronic Puppet, Jake Schuman, Fredy Herrarte, Madison Reedy, Jackson Reynolds Jun 2026

Custom Animatronic Puppet, Jake Schuman, Fredy Herrarte, Madison Reedy, Jackson Reynolds

Mechanical Engineering

This project involved the design, fabrication, and implementation of a custom audio-animatronic puppet modeled after Dr. Brian Davis for the California Polytechnic State University Mechanical Engineering Department. The objective was to create an expressive, lifelike character capable of synchronized speech, head movement, arm gestures, and seated-to-standing motion while demonstrating the integration of mechanical design, controls, manufacturing, and artistic fabrication.

The final system consists of an 18-degree-of-freedom animatronic platform utilizing servo-driven facial and upper-body actuation combined with a pneumatic standing mechanism. A modular aluminum and 3D-printed structural framework was developed using SolidWorks and validated through engineering analysis. Character shells were digitally …


Mass - Modular Acoustic Suppression System, Julia Megargle, Michael A. Milner, Lucas Kaemmererer, Jonathan Corvera, Gabriel Choi, Emmi Cayer Jun 2026

Mass - Modular Acoustic Suppression System, Julia Megargle, Michael A. Milner, Lucas Kaemmererer, Jonathan Corvera, Gabriel Choi, Emmi Cayer

Mechanical Engineering

The Modular Acoustic Suppression System (MASS) is a mass tuned damper that reverberates a membrane atop a cavity to absorb select acoustic frequencies produced by the Environmental Control and Life Support Systems (ECLSS) within NASA's Artemis Human Lander. The height of the reverberation chamber is adjusted to mitigate a range of varying tonal frequencies within the human lander.


Autonomous Vision-Based Litter Collection Rover, Dante Michael Benedetti, Benjamin Scott Tavares, Nathan Heil Jun 2026

Autonomous Vision-Based Litter Collection Rover, Dante Michael Benedetti, Benjamin Scott Tavares, Nathan Heil

Electrical Engineering

This report documents the design, implementation, and testing of an autonomous litter-collection rover developed as a Senior Project Design Lab (EE 460/463/464) at California Polytechnic State University. The rover integrates autonomy, computer vision, embedded real-time control, mecanum-wheel omnidirectional mobility, and a two-degree-of-freedom robotic arm to detect, approach, and collect small ground-level litter such as bottles, wrappers, and paper fragments.

The system uses a two-layer compute architecture: an NVIDIA Jetson Orin Nano running ROS 2 for perception, SLAM, and path planning, paired with an STM32L4A6ZG microcontroller for real-time motor control and odometry. The robot is built on a multi-level aluminum frame …


Elevate Grill, Brady Alexander Jun 2026

Elevate Grill, Brady Alexander

Electrical Engineering

The Elevate Grill Senior Project is a Santa Maria style grill with an electrical lifting/lowering mechanism and temperature sensor feedback. The grill allows for a dynamically controlled cooking surface, able to be automatically set or manually set by the user. The grill’s user interface informs the user about the temperature in different zones on the grill and alerts the user when the target temperature is hit. Additionally, the user can program preset temperature ranges and apply them to the grill’s control system. The system incorporates safe failure modes in the event of a power outage and also allows the user …


Pcb Design For Place Cells Vlsi Chip, Gavin Reaksecker, Alex Krier, Joshua Lin Jun 2026

Pcb Design For Place Cells Vlsi Chip, Gavin Reaksecker, Alex Krier, Joshua Lin

Electrical Engineering

This project presents the design and implementation of a 2 layer test-bench printed circuit board (PCB) for evaluating the functionality of a custom 40-pin VLSI integrated circuit. The objective is to create a reliable and portable platform capable of supplying configurable bias voltages, generating variable input signals, and monitoring both analog and digital outputs. The board integrates adjustable bias networks using potentiometers, digital and analog buffering stages, and optional battery supply operation. The VLSI device under test is mounted in dual-in-line (DIP) sockets to enable rapid replacement and repeated characterization. Dedicated test points are incorporated throughout the PCB to facilitate …


Solving Linearly Constrained Quadratic Programs Using Field Programmable Analog Arrays, Tyler Wynn, Alonzo Arroyo Jun 2026

Solving Linearly Constrained Quadratic Programs Using Field Programmable Analog Arrays, Tyler Wynn, Alonzo Arroyo

Electrical Engineering

This paper presents a field-programmable analog array (FPAA) implementation for solving linearly constrained quadratic programs (LCQPs) directly in the analog domain. The solver is based on a continuous-time primal-dual control architecture with integral action, anti-windup compensation, and a piecewise-linear nonlinearity for enforcing affine inequality constraints. A switched-capacitor implementation using three AN231E04 FPAAs is developed, and coefficient scaling methods are introduced to keep internal and output signals within the voltage limits of the hardware. A global scaling factor is used to reduce internal signal excursions, while solution-space scaling is shown to modify the implemented optimization coefficients and alter the local closed-loop …


Autonomous Rover Solar And Battery Management System: Team B, Karla Jazmin Lira Gonzalez, Paige Ambriz, Kunj Shah, Elhom Delasa Sheykhi Jun 2026

Autonomous Rover Solar And Battery Management System: Team B, Karla Jazmin Lira Gonzalez, Paige Ambriz, Kunj Shah, Elhom Delasa Sheykhi

Electrical Engineering

This project focused on the software and printed circuit board (PCB) integration for Poly1Rover’s battery management system (BMS). Poly1Rover is a student organization dedicated to building a low-cost autonomous rover designed to operate on Mars. Since solar availability, temperature, and other conditions on Mars vary, the rover requires a reliable battery management system that accurately monitors battery health and status. This team’s work included the communication and control side of the BMS. The subsystem was designed around the Renesas ISL94202 battery monitor and the MSP430 controller. Battery information was read from the ISL94202 registers through I2C communication, converted from raw …


Design And Evaluation Of An Open-Source Ac/Dc Power Converter For Microgrid Applications, Ryan J. Rayos Jun 2026

Design And Evaluation Of An Open-Source Ac/Dc Power Converter For Microgrid Applications, Ryan J. Rayos

Master's Theses

This thesis presents the design, implementation, and evaluation of an open-source bidirectional power conversion platform intended for microgrid applications. As distributed energy resources, battery storage systems, and hybrid AC/DC architectures continue to increase in adoption, there is a growing demand for flexible, low-cost, and programmable power electronic platforms capable of interfacing between DC and AC subsystems. Existing commercial solutions are often proprietary and expensive, limiting their accessibility for educational, research, and rapid prototyping applications. This work expands upon the existing open-source Atinverter platform by increasing its operating voltage capability, integrating bidirectional power flow, and implementing telemetry systems suitable for microgrid …


Integration Of Robotic Arm And Conveyor With Programmable Logic Controller, Drake A. Small Jun 2026

Integration Of Robotic Arm And Conveyor With Programmable Logic Controller, Drake A. Small

Master's Theses

To meet new curriculum demands brought on by Cal Poly's upcoming switch to semesters, a new, cross-disciplinary lab module was developed for EE 435 (Industrial Power Control and Automation). The module emphasizes career-applicable skills, preparing students for the field of controls engineering within the manufacturing industry. These skills include robotic control, computer networking and configuration, and embedded systems. The work focused on integrating a collaborative robot arm to pick-and-place boxes on a conveyor. A myCobot 320 Pi and an Ultimation Powered Roller MDR Conveyor were integrated with the existing PLC system using Modbus RTU and EtherNet/IP communication protocols, respectively. A …


A Performance-Weighted Environmental Assessment Of Ultra-High-Volume Fly Ash Substitution In Portland Cement Concrete, Youngguk Seo, M.A. Karim, Teddy Tzvetkov, Joshua Hardy Jun 2026

A Performance-Weighted Environmental Assessment Of Ultra-High-Volume Fly Ash Substitution In Portland Cement Concrete, Youngguk Seo, M.A. Karim, Teddy Tzvetkov, Joshua Hardy

Faculty Articles

Fly ash substitution for cement in Portland cement concrete (PCC) has been regarded as a sustainable solution, but its widespread application remains constrained by concerns over mechanical performance and durability of PCC, especially at higher replacement rates. This study evaluates PCC mixes incorporating fly ash Type C (FA-C) or Type F (FA-F) across cement replacement rates from 10% to 90%, tracking fresh-state workability, compressive strength, and surface electrical resistivity at 7, 14, and 28 curing days. A process-based life cycle assessment (LCA) with the TRACI 2.1 method quantified global warming potential (GWP, kg CO2/m3) under a …


Evaluation Of Laser Doppler Flowmetry And Transillumination Laser Speckle Contrast Imaging To Measure Blood Flow Change In Ischemia Mouse Hindlimb Models, Simon Park Jun 2026

Evaluation Of Laser Doppler Flowmetry And Transillumination Laser Speckle Contrast Imaging To Measure Blood Flow Change In Ischemia Mouse Hindlimb Models, Simon Park

Master's Theses

Peripheral Artery Disease (PAD), caused by plaque buildup and narrowing of the arteries, reduces blood flow to the extremities. Promoting collateral arteriogenesis can help redirect blood flow. However, simple growth of collaterals may not be enough to reverse PAD. Instead, the ability for the collaterals to vasodilate and control blood flow is important, meaning assessing collateral function is important for the arteriogenesis assesment. Although microscopy techniques can measure vasodilation, contrast limitations in larger vessels such as collaterals make blood flow measurements difficult. Techniques such as ultrasound or magnetic resonance imaging (MRI) can measure blood flow but have limitations with cost …


Polysaber: A Custom Reactive Lightsaber Soundboard, Pedro B. Medeiros Jun 2026

Polysaber: A Custom Reactive Lightsaber Soundboard, Pedro B. Medeiros

Computer Engineering

The PolySaber project was developed as a custom reactive lightsaber control system built as a fully custom PCB design. The purpose of the project was to create a lower-cost and more customizable alternative to commercially available lightsaber soundboards while simultaneously providing hands-on experience in PCB design, embedded systems development, and hardware integration. Commercial lightsaber soundboards are expensive, proprietary, and difficult for hobbyists to customize. The PolySaber project addresses this by creating a modifiable hardware platform built around the ESP32 microcontroller. The system supports programmable firmware, RGB NeoPixel blade control, motion sensing, reactive swing and clash effects, onboard audio amplification, and …


Rc-Nf: Robot-Conditioned Normalizing Flow For Real-Time Anomaly Detection In Robotic Manipulation, Shijie Zhou, Bin Zhu, Jiarui Yang, Xiangyu Zhao, Jingjing Chen, Yu-Gang Jiang Jun 2026

Rc-Nf: Robot-Conditioned Normalizing Flow For Real-Time Anomaly Detection In Robotic Manipulation, Shijie Zhou, Bin Zhu, Jiarui Yang, Xiangyu Zhao, Jingjing Chen, Yu-Gang Jiang

Research Collection School Of Computing and Information Systems

Recent advances in Vision-Language-Action (VLA) models have enabled robots to execute increasingly complex tasks. However, VLA models trained through imitation learning struggle to operate reliably in dynamic environments and often fail under Out-of-Distribution (OOD) conditions. To address this issue, we propose Robot-Conditioned Normalizing Flow(RC-NF), a real-time monitoring model for robotic anomaly detection and intervention that ensures the robot's state and the object's motion trajectory align with the task. RC-NF decouples the processing of task-aware robot and object states within the normalizing flow. It requires only positive samples for unsupervised training and calculates accurate robotic anomaly scores during inference through the …


Foundation For A Digital Beamforming System Using Software Defined Radio, Daniel Cruz Guerrero, Shiron Bendrihem, Benjamin Tucker Jun 2026

Foundation For A Digital Beamforming System Using Software Defined Radio, Daniel Cruz Guerrero, Shiron Bendrihem, Benjamin Tucker

Electrical Engineering

This report demonstrates a basis for the foundation of a software-defined radio (SDR)-based digital beam forming system. Specifically, a discussion of time, frequency, and phase synchronization is had in the absence of costly hardware like an OctoClock. Furthermore, this report digs deep into the design process and device characterization of a 4-way Wilkinson Power Divider, which is a necessary hardware component for phase calibration. SDR synchronization and calibration are critical in any digital beamforming system.


Design And Characterization Of A Pulsed Electric Field Chamber For Microalgae Lysis, Connor Strutin Jun 2026

Design And Characterization Of A Pulsed Electric Field Chamber For Microalgae Lysis, Connor Strutin

Electrical Engineering

Microalgae are a promising renewable source of biofuel due to their high lipid content and rapid growth rates; however, algae cells must be electroporated (lysed) to release these lipids. The system developed in this project applies short (40 μs–10 ms), high-intensity (up to 33 kV/cm) pulsed electric fields (PEF) across cell membranes to enable electroporation.

Our lab-scale PEF chamber generates uniform, high-intensity electric fields using parallel-plate electrodes with sub-millimeter spacing. The system is designed to efficiently lyse microalgae cells for lipid extraction and biofuel production.


Maximum Power Point Tracking For Photovoltaic Cells, Rodrigo Menchaca-Ramirez, Jesus Martinez, Steven Rodriguez Jun 2026

Maximum Power Point Tracking For Photovoltaic Cells, Rodrigo Menchaca-Ramirez, Jesus Martinez, Steven Rodriguez

Electrical Engineering

Unlike an ideal DC Power Supply, a solar panel does not operate with linear I-V Characteristics. The voltage and current characteristics of a solar panel change based on irradiance, temperature, weather conditions, and load demand. Because of these factors, solar panels do not always operate at their Maximum Power Point, which can lead to significant power losses. Maximum Power Point Tracking is used to adjust the panel operating point so that more usable power can be delivered to the load.This project developed a Maximum Power Point Tracking system using an STM32 Nucleo-L4A6ZG microcontroller and an LT8705A DC-DC converter stage. The …


Design And Parametric Study Of A Mems-Based Reservoir Computer For Reinforcement Learning, Andrew P. Carr Jun 2026

Design And Parametric Study Of A Mems-Based Reservoir Computer For Reinforcement Learning, Andrew P. Carr

Master's Theses

Single-node reservoir computing (RC) is a hardware-efficient approach to machine learning, leveraging the dynamics of physical systems. In this work, two reinforcement learning algorithms, Q-learning and Proximal Policy Optimization (PPO), are applied to a simulated micro-electro-mechanical system (MEMS)-based reservoir computer to solve both discrete and continuous control tasks. MEMS-based reservoirs are low-power, compact, and their natural frequencies (kHz to MHz) pair well with real-time control loops. To explore the relationship between reservoir dynamics and learning performance, a parametric study is conducted on two reservoir hyperparameters, reservoir size and neuron separation, using CartPole-v1 and MountainCar-v0. The RC successfully learns multiple tasks …


Alford Loop Antennas For Ultra-High Energy Neutrino Detection, John K. Kimura Jun 2026

Alford Loop Antennas For Ultra-High Energy Neutrino Detection, John K. Kimura

Master's Theses

The neutrino is a fundamental particle of matter emitted by high energy phenomena, such as supernovae and black holes. Detecting neutrinos can give scientists information regarding the frequency of high-energy cosmic events, as well as point them towards specific high-energy events. Ultra-high energy (UHE) neutrino interactions in Greenland ice result in electromagnetic pulses between 200MHz and 800MHz. The Radio Neutrino Observatory - Greenland (RNO-G) seeks to observe the resultant electromagnetic waves. The Alford Loop antenna is proposed to detect these emissions, because of its dipole-like radiation pattern, horizontal polarization, and adequate dimensions to fit in a 10" diameter ice borehole. …


Practical Multimodal Wearable Sensing For Functional Upper Extremity Primitive Classification With Application To Stroke Rehabilitation, Nicholas Weiss Jun 2026

Practical Multimodal Wearable Sensing For Functional Upper Extremity Primitive Classification With Application To Stroke Rehabilitation, Nicholas Weiss

Master's Theses

Stroke often causes long-term weakness and impaired motor control in the upper extremity (UE), making everyday tasks such as reaching, grasping, and moving objects more difficult. Restoring functional arm use is therefore a central goal of post-stroke rehabilitation. Measuring affected arm use continuously and objectively is important because isolated clinical assessments may not fully capture how the affected arm is used during therapy or daily life. Wearable sensors offer a promising approach for monitoring, but raw sensor signals are difficult to interpret directly. Functional movement primitives address this issue by describing UE behavior as smaller, task-agnostic movement units.

This thesis …


Rf Fingerprinting: Neural Networks For Device Identification, Pranav Chainani, Maxwell Gertner, Genevieve Patmore Jun 2026

Rf Fingerprinting: Neural Networks For Device Identification, Pranav Chainani, Maxwell Gertner, Genevieve Patmore

Electrical and Computer Engineering Senior Theses

Conventional cybersecurity protocols authenticate devices using digital credentials that can be stolen, copied, or extracted from compromised hardware. Radio frequency (RF) fingerprinting offers a complementary physical-layer authentication mechanism that binds device identity to the unforgeable manufacturing variations present in every transmitter’s analog hardware. This thesis explores the application of convolutional neural networks (CNNs) to RF fingerprinting, focusing on the identification of nominally identical IoT transmitters from raw I/Q samples of the LoRa preamble’s turn-on transient.

We developed an end-to-end system consisting of a modular data collection testbench using a USRP B210 software-defined radio, a 1D CNN trained directly on raw …