Engineering Commons^™

A Broadband, Dual Polarized Antenna For The Radio Neutrino Observatory In Greenland, Laken Baker

Electrical Engineering

Neutrinos contain information necessary to determine the origins of the universe and cosmic events because they can travel long distances with minimal interaction, preserving information about their cosmic origins. Since neutrinos interact with ice sheets resulting in RF radiation, antennas have been developed to detect RF transmissions.

A compact 'vane structure' (see Fig. 1a) dual-polarized broadband antenna model has been developed, constructed, and characterized according to input reflection coefficient, and co and cross-pol E and H plane radiation patterns using HFSS and Cal Poly San Luis Obispo’s anechoic chamber for the Radio Neutrino Observatory in Greenland (RNO-G) [1]. Its design …

Wireless Communication In Autonomous Vehicles, Kaylie Bao, Nicholas Andrews, Mark Negus

Electrical Engineering

This project focuses on developing and testing a vehicle-to-everything (V2X) communication system using Dedicated Short Range Communications (DSRC) based on the IEEE 802.11p standard. The system uses the NXP i.MX 8XLite V2X Evaluation Kit, which includes the SAF5400 modem for wireless communication in the 5.9 GHz band.

The main goal of this project was to establish reliable communication between two V2X evaluation boards and to verify that custom, user-defined data could be transmitted between them. Through iterative testing, we were able to successfully send and receive custom 802.11 frames using the provided command-line tools and achieve consistent communication between nodes. …

Vlsi Spike Encoder For Spiking Neural Networks With 4-Bit Sar Adc, Jack Marshall, Wyatt Tack, Cameron Young, Ryken Thompson

Electrical Engineering

A spike encoder forms the interface between sampled data, such as image data or a sensor signal, and a spiking neural network by converting numerical input samples into discrete spike events. Unlike conventional artificial neural networks, spiking neural networks use spare, even-driven computation instead of continuous-valued activations. This makes them attractive for low-power embedded systems, biomedical electronics, and other edge applications where energy consumption, physical area, and thermal limits are important design constraints.

This project develops a modular spike encoder architecture for spiking neural networks with selectable support for temporal, rate, multi-spike, and delta encoding. Prior work has shown that …

Lora Radio Propagation & Antenna Design For Freight Trains, Cesar Chavez, Marlon Jennson Hernandez

Electrical Engineering

Freight-train environments present significant challenges for wireless communication due to large metallic structures, varying cargo types, and changing antenna orientations that can degrade radio-frequency propagation. This project evaluated the performance of LoRa-based communication links intended for End-of-Train (EOT) and Head-of-Train (HOT) systems operating at 915 MHz. Field testing was conducted to characterize antenna performance using metrics including received signal strength indicator (RSSI), signal-to-noise ratio (SNR), and communication range. Experimental results showed that antenna polarization and directivity significantly affect communication performance in freight-train environments. Directional antennas provided improved signal strength when properly aligned but experienced performance degradation as antenna orientation changed. …

Cal Poly Mars Rover Battery Management System, Lawrence Nichols, Caleb Michael King, Thomas Anh Khoa To, Angel Soto

Electrical Engineering

The exploration of space has consistently been one of the most expensive endeavors humanities has undertaken in its journey to expand ever further. The PolyRover project aims to not only cheapen that expense through student-based research but also provide a better bang for buck as more unmanned ground vehicles (UGVs) can be utilized on planets in concert. In order to do so, the rovers need a robust, yet compact battery management system that can fit within the wheel well. Our system will consist of six commercially-available 18650 batteries in series, organized in a hexagonal fashion around the motor. The BMS …

Lora Networking Hardware Reference Designs For Terrestrial And Low-Earth-Orbit Communications, Kevin Nottberg

Master's Theses

The work presented here demonstrates a highly robust and tested LoRa networking hardware reference design to meet the needs of the embedded networking company OWL Integrations. The hardware presented integrated a unique combination of features and design choices. The detailing of its unique design is potentially of use to others for use in fielded battery powered terrestrial sensor networking hardware utilizing LoRa. Also, the terrestrial hardware presented is shown to have the capability to support command and control (C2) LoRa links in low-earth orbit beyond terrestrial systems. The design presented has a more U.S. centric component bill-of-materials (BOM), with the …

A Workflow For Automating Geospatial And Data Visualizations For Post-Earthquake Building Damage Data, Alejandra Bravo

Architectural Engineering: Graduate Reports

After major seismic events, reconnaissance efforts of various types are made to gather data. Coarse data can be collected with satellite imagery, mid-scale data can be recorded by capturing thousands of images, and granular data is typically documented manually by humans. Post-earthquake reconnaissance teams can be deployed by universities, research organizations, professional associations, and private firms. Academics, engineers, and students with varying degrees of expertise are tasked with collecting building metadata and damage data, typically in a short period of time. This data can be of various types including numerical (i.e. number of stories, height, etc.), categorical (i.e. damage level, …

A Near-Field Communication (Nfc) Multi-Sensor Node With Optimized Read Range And Adaptive Power Management For Remote Monitoring, Rishin Patra, Hilary Scott Nkimbeng Cho, Jin W. Choi

Michigan Tech Publications

This paper presents the design of a batteryless near-field communication (NFC) multi-sensor node with an integrated adaptive power-management system for sensing applications. The work focuses on harvesting energy from a 13.56 MHz NFC field to power an ultra-low power sensing platform. The design consists of the TI RF430FRL152H, an integrated NFC transponder with an embedded MSP430 microcontroller core and ferroelectric random-access memory (FRAM) non-volatile memory. The system combines an ISO/IEC 15693 NFC front end, a tuned loop antenna for optimized power harvesting, and multiple analog and digital sensor interfaces, and a firmware architecture for intermittent harvested energy operation. The aforementioned …

Operation Bite Block, Jennifer Aline Robles, Laura Marie Strobbe, William Pearce Graham, Annabelle Katherine Thalken

Mechanical Engineering

Current dental bite blocks, or mouth props, are typically manufactured in fixed sizes, and often result in patient discomfort, reduced procedural efficiency, and the need for dental offices to maintain multiple product sizes. This project sought to design, prototype, and validate an adjustable dental bite block capable of accommodating a wide range of patient mouth openings while maintaining comfort, structural integrity, sterilizability, and operator usability. Working in collaboration with Dr. Alan Latta, a practicing dentist in San Luis Obispo, the design process incorporated stakeholder feedback, patent and market research, engineering analysis, and iterative prototyping to develop a solution that addresses …

Mars Rover Wheels And Drive, Presley S. Sacavitch, Ryan W. Trevena, Dylan A. Mack, Daniel Hudak

Mechanical Engineering

Cal Poly’s Poly1Rover team, advised by Professor Rich Murray, aims to deploy four student-designed mini-Mars rovers, each equipped with a sample-tube retrieval claw, before 2030. However, the wheels of Poly1Rover’s current 6th generation rover are not ready for deployment to Mars, as they do not utilize space-grade materials, are not optimized for manufacturability, and lack sufficient spoke compliance to absorb landing and high-impact loads. This project will be developed by a team of Mechanical Engineering students at California Polytechnic State University, San Luis Obispo (Cal Poly): Daniel Hudak, Dylan Mack, Presley Sacavitch, and Ryan Trevena. Next Intent is providing funding …

Formula Sae Planetary Gearbox Characterization Dynamometer, Trevor Marco Toma, Thomas Welden Pierce, Ethan Liu

Mechanical Engineering

This report outlines a custom hub motor dynamometer requested by the Cal Poly Racing FSAE team. The need for this testing platform is to characterize an existing Formula SAE planetary gearbox for a proposed 4WD powertrain. Hub motors, compact electric machines integrated directly into each outboard wheel, offer significant advantages in efficiency, traction, and chassis packaging compared to conventional RWD drivetrains. By mapping torque capacity, efficiency, lubrication method effectiveness, and fatigue life, the team can validate gearbox design and performance.

This senior project group designed and built a dynamometer according to these specifications which will allow for successful testing to …

An Exploratory Latent Segmentation Approach To Account For Temporally Shifting Parameters In Driver Injury-Severity Models, Tanmoy Bhowmik, Shahrior Pervaz, Fred Mannering, Naveen Eluru

Civil and Environmental Engineering Faculty Publications and Presentations

Temporally shifting parameters in crash severity modeling is a well-documented phenomenon, with growing evidence suggesting that the influence of explanatory variables changes over time due to shifts in driver behavior, vehicle technology, and roadway conditions. Many studies have examined this issue by comparing the temporal stability of adjacent-year data using a variety of modeling frameworks that have often assumed a homogenous effect of explanatory variables across the entire crash population. The current research effort departs from past work in two ways. First, it compares data separated by multiple years (instead of comparing adjacent years), and second, it tests the homogeneous …

Review Of Recovery Processes Of Palladium, Platinum, Gold, And Silver From Metallurgical Wastes, Luis Sanchez-Calderon, Marthias Silwamba, Lana Alagha

Mining Engineering Faculty Research & Creative Works

Gold (Au), silver (Ag), platinum (Pt), and palladium (Pd) are precious metals with high economic value and critical industrial significance. Platinum and Pd, in particular, are classified as critical metals by major economies such as the United States, European Union, Japan, and South Korea due to their limited supply and essential roles in clean energy and high-technology applications. The rising market value and criticality of these metals have generated interest in their recovery, not just from primary ores and traditional source materials but also from secondary sources, such as metallurgical wastes. This review provides a thorough evaluation of current and …

Exploiting Underground Mine Topology For Resilient Concurrent Lora Mesh Emergency Communications: Architecture, Protocol Design, And Performance Analysis, Hilary Kelechi Anabi, Samuel Frimpong, Muhammad Azeem Raza

Mining Engineering Faculty Research & Creative Works

Underground mine emergencies compromise fixed communication infrastructure exactly when situational awareness is most critical for effective rescue operations. Existing LoRa mesh protocols fail in underground mines because they ignore the structured topology of tunnel networks, specifically the waveguide effect along straight galleries, severe signal discontinuity at junctions, and the dead-end geometry of working faces. This paper presents the Topology-Aware Concurrent LoRa (TACL) mesh protocol, in which each node autonomously infers its structural role from local RF observations and packet header information, without GPS, pre-loaded mine maps, or central coordination. Role classification resolves the contender estimation problem (Formula presented.) left open …

Mechanism-Based Assessment Of Respirable Dust Exposure In Miners: Integrating Cfd-Dpm Simulation With Personalized Monitoring For Occupational Health Risk, Jiajun An, Fan Geng, Yuqing Feng, Changgeng Gui, Shihang Li, Xinjian He, Guang Xu, Zheng Zhang, Yibao Wang

Mining Engineering Faculty Research & Creative Works

Respirable dust in confined mine environments represents a significant environmental and occupational health challenge, requiring advanced monitoring and risk assessment methodologies. Current area-level monitoring overlooks the heterogeneity of personal exposure fields and the critical influence of human-ventilation interactions on local contaminant dispersion. This study develops an integrated monitoring-simulation method to quantify multi-worker dust exposure, assessing how worker position and orientation modulate risk under forced ventilation in narrow roadways. Occupational-specific dust sampling provided validation data for a three-dimensional Computational Fluid Dynamics-Discrete Phase Model (CFD-DPM) incorporating human-ventilation interactions. The model integrates a MATLAB-developed breathing function to dynamically couple respiratory cycles with particle …

A Hybrid Mechano-Thermal Route To Synthesize Reactive Pozzolans From Clay Minerals: A Case Of Kaolinite, Oluwadamilare Charles Adesina, Bryan K. Aylas-Paredes, Brian R. Cherry, Luciano A. Gobbo, Aditya Kumar, Narayanan Neithalath

Materials Science and Engineering Faculty Research & Creative Works

Aluminosilicate resources from unconventional sources offer promising potential for developing low-carbon supplementary cementitious materials (SCMs), yet their activation typically requires energy-intensive thermal processing. Kaolinite is a geographically abundant and highly attractive precursor clay mineral to reduce the clinker factor in concrete. By integrating mechano- and thermo- chemistry sequentially in a novel hybrid mechano-thermal activation (MTA) strategy for clay mineral activation, the dehydroxylation of pure kaolinite polymorphs KGa-1b and KGa-2 for enhanced pozzolanic reactivity is unlocked at temperatures that are lower than those needed for conventional thermal activation (TA). The mechano-chemical activation (MCA) step that induces significant structural defects and disorder …

Pso-Style Social Influence In An Ant Colony Algorithm For Continuous-Domain Optimization, Ashraf M. Abdelbar, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

ACOR is a well-established Ant Colony Optimization (ACO) algorithm for continuous-domain optimization. In this paper, we propose an extension (which we call ACOR∗) in which several fundamental modifications are made to ACOR's solution construction process, including the incorporation of a social influence mechanism borrowed from Particle Swarm Optimization (PSO). Our modifications to the ACOR algorithm are intended to promote search diversity and combat premature convergence. We experimentally evaluate our proposal in the context of training feedforward neural networks for classification using 65 widely used datasets from the University of California Irvine (UCI) repository, as well as the optimization of several …

Recycling Aged Crumb Rubber-Modified Asphalt Pavements: A Review, Kwadwo Ampadu Boateng, Meng Wu, Dongzhao Jin, Zhanping You

Michigan Tech Publications

This study provides a comprehensive review of current progress and challenges in recycling crumb rubber-modified asphalt (CRMA) pavements. It examines key aspects, including mechanical performance, rejuvenation methods, chemical characterization, practical case studies, and environmental implications. Particular emphasis is given to the technical barriers that influence recyclability, such as the mix design for recycled mix, accounting for the combined aging of both the asphalt binder and the crumb rubber particles, and optimizing the rubber content alongside chemical interaction of rejuvenating agents. Existing research indicates that several traditional recycling practices, especially full-depth reclamation and hot central plant recycling, are generally suitable for …

S-[2-(Hydroxyamino)-2-Oxoethyl]-O-Octyl-Dithiocarbonate Ester (Ehaox): Performance And Adsorption Mechanism, Yue Zhou, Jiaxiang Li, Hongli Fan, Zhilong Li, Yuesheng Gao, Tian Lin, Haiyan Tang, Tingting Wang, Wei Sun

Michigan Tech Publications

This study explores the interfacial interactions between a novel collector, S-[2-(hydroxyamino)-2-oxoethyl]-O-octyl-dithiocarbonate ester (EHAOX), and bastnaesite mineral surfaces during selective flotation. Compared to conventional octylhydroxamic acid (OHA), EHAOX demonstrated superior recovery, achieving an over 40% absolute increase in recovery compared to octylhydroxamic acid (OHA) at the same collector concentration (1 × 10⁻⁵ mol/L) and pH 8.0, and selectivity for bastnaesite, attributed to its optimized hydrophobicity (supported by CLogP calculations). Mechanistic studies via zeta potential, UV/vis spectroscopy, and FTIR revealed the formation of a complex composite via chemisorption between EHAOX and Ce³⁺ sites on the bastnaesite surface, with coordination occurring …

Nodal Elimination For E3 Hemp Mitigation: A Physics-Informed Graph Theory Approach, Connor A. Lehman, Rush Robinett, Quinnlin R. Lehman, David G. Wilson, Wayne Weaver

Michigan Tech Publications

This paper presents a comparison of methods to determine the minimum number of placement locations for neutral blocking, global linear quadratic regulator (G-LQR), and local linear quadratic regulator (L-LQR) controllers throughout a power grid to prevent transformer saturation during the onset of an E3 high-altitude electromagnetic pulse (HEMP) disturbance. Different device placement configurations yield different efficacies in E3 HEMP mitigation. The first placement method discussed is a genetic algorithm (GA), which serves as a baseline optimizer test case. The scaling and run time of the GA depend on the complexity of the objective function and often times becomes intractable as …

Trim-Transfer: A Transfer Learning Approach For Cross-Trim Level Can Intrusion Detection, Baylor J. Whitehead

Master's Theses

Modern vehicles contain many Electronic Control Units (ECUs) that communicate through CAN. While CAN enables efficient data communication, it lacks built in authentication and encryption, allowing adversarial actors to inject malicious CAN messages. This limitation has motivated the development of CAN intrusion detection systems (IDS). However, deploying IDS across a vehicle lineup requires collecting large labeled datasets and retraining models, increasing development cost and limiting scalability.

This thesis investigates the use of transfer learning with LSTM-based deep neural networks to reduce retraining cost while maintaining model detection performance. A baseline LSTM model is trained using CAN data from a base …

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 1/8^th-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

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

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

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 …

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 …

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 …