Engineering Commons^™

Exploring Smart Thermostat, Don P. Dang

2024 Fall Honors Capstone Projects - Archive

This study examines the security, privacy, and compatibility challenges associated with smart thermostats in smart home systems. Smart thermostats, as part of the growing Internet of Things (IoT) ecosystem, face vulnerabilities such as unauthorized access, data breaches, and inconsistent security protocols. Using a mixed-methods approach, this research evaluates encryption techniques, communication protocols (Zigbee, Z-Wave, Wi Fi), and user behaviors that impact system security and efficiency. Key findings indicate that 35% of users are concerned about hacking risks, while 25% express data privacy concerns. Many users lack awareness of security measures, such as firmware updates and password management, which increases vulnerabilities. …

Forecasting Nigerian Stock Market Volatilities Using Bagging And Ensemble Averaging, Godknows Isenah

CBN Journal of Applied Statistics (JAS)

This paper using bagged GARCH-type model, with ensemble averaging estimators models and compares the forecast performances to those of some classical GARCH type models. Using Mean Absolute Forecast Error (MAFE) and Root Mean Squared Forecast Error (RMSFE) as forecast-error measures, the results shows bagging ensemble based methods to out-perform the alternative volatility models. The study recommended that volatility estimates obtained via bagged ensemble methods should be used as inputs to facilitate financial operations such as derivatives pricing, risk hedging, computations of Value-at-Risk (VaR) estimates, and for financial decision making.

Quantitative Evaluation Of Baseflow Separation Methods Using An Integrated Hydrologic Model: A Case Study In A Snow-Dominated Watershed, Jihad Othman

All Graduate Reports and Creative Projects, Fall 2023 to Present

Baseflow, commonly referred to as the groundwater contribution to streamflow, constitutes approximately 50% of streamflow in mountainous regions of the Western United States. Accurately quantifying the amount of baseflow is critical for water management and decision-making, as it significantly impacts stream water quality, low flow availability, and ecosystem health. Traditionally, baseflow has been estimated using conceptual and automated baseflow separation methods, which are known to be both arbitrary and ambiguous, posing a challenge to validate them. In this study, we developed an integrated hydrologic model that seamlessly integrated the exchange between surface and subsurface flows to physically quantify the baseflow …

Equivalent-Area Studies For Sonic Boom Loudness Mitigation On A Commercial Supersonic Aircraft Configuration, Zachary N. Foster

All Graduate Reports and Creative Projects, Fall 2023 to Present

Since the early 1970s, the FAA has banned commercial supersonic flight over populated areas. This ban has limited aerospace manufacturers’ and commercial aircraft companies’ ability to design and operate subsonic aircraft in their fleets. Since then, research has been conducted to understand the sonic boom and learn how to minimize its loudness. The work presented in this project report aims to use a 1D low-fidelity analysis to study the effect of perturbations to the outer mold line (OML) of a representative model of the N+2 Quiet Commercial Supersonic Concept Aircraft. Using a 1D analysis that employs an equivalent area method, …

Sensitive Grip Mounting Surfaces For Physical Human-Robot Interaction., Branden Shay

Electronic Theses and Dissertations

As the development of robotics becomes ever increasingly present in our society, the need for studying how humans and robots interact with each other becomes more of a necessity to be properly integrated in the changing world around us. In this thesis, we undertake the study and development of how to create a tactile human-robot operator interface to guide a robot perform a physical task. The implementation of tactile interfaces such as SkinCell sensor arrays emulating skin, and of a robotic handlebar fitted with tactile sensors are critical examples of the challenges that come with mounting and packaging such sensors …

Investigating The Contribution Of First-Order Streams To Floods In Downstream Water Bodies On The Central Appalachian Plateau., Luke Ott

Electronic Theses and Dissertations

Flash floods are the costliest natural disaster in Appalachia. The goal of this study is to better understand flood response in headwater streams and the role of these systems in the generation of downstream floods. We applied a process-based hydrologic model using data from the Robinson Forest environmental monitoring network to estimate the contribution of headwaters to downstream floods. We then used the model to understand the effects of landscape disturbance in headwaters on downstream floods. Finally, we developed empirical hydrologic models to identify useful data for predicting downstream peak flood discharge. Results indicate that headwaters in our study catchment …

Nfts For Accessing, Monetizing, And Teleporting Digital Twins And Digital Artifacts In The Metaverse, Senay A. Gebreab, Ahmad Musamih, Haya R. Hasan, Khaled Salah, Raja Jayaraman, Yousof Al Hammadi, Mohammed Omar

Industrial Engineering: Faculty & Staff Publications

Digital twins and digital artifacts have become integral components of metaverse platforms, providing users with a rich, immersive, and interactive digital experience through the deployment of diverse digital twins and digital artifacts such as 3D avatars, images, and objects. To date, a significant challenge persists in the lack of practical mechanisms to enable seamless teleportation and cross-metaverse interoperability for these digital twins and digital artifacts. There is also a lack of trusted monetization methods that facilitate trading and leasing of digital twins and digital artifacts. To address these important challenges, this paper proposes a blockchain and Non-Fungible Token (NFT)-based solution …

Effect Of Pilot Mental Health On Passenger Willingness To Fly, Isabella L. Deloach, Sara E. Bergamini, Dowon Choi, Brooke Wheeler, Vivek Sharma

Aeronautics Student Publications

This study explored how passengers' willingness to fly is affected by the mental health condition of pilots, providing insight into public perception of the mental health condition of pilots. Results showed significant differences between all scenarios except the medication scenario vs. therapy scenario.

Spectrum Optimization For Advanced Air Mobility Communications Using Deep Reinforcement Learning., Rafael D. Apaza

Electronic Theses and Dissertations

As aviation operations expand and new participants enter the National Airspace System (NAS), the demand for aeronautical communications will experience a significant rise. This surge is propelled by increased air travel and the emergence of Urban Air Mobility (UAM) operations, a subset of Advanced Air Mobility (AAM). UAM aims to facilitate intra-city transportation of people and cargo utilizing remotely piloted aircraft capable of electric vertical takeoff and landing operations. The growing dependence on efficient wireless communication systems underscores the critical importance of intelligent spectrum allocation and effective airspace management to ensure safe, seamless, and technologically advanced air operations. However, the …

Open-Source Cubesat Flight Board, Braydon M. Burkhardt

Electrical Engineering

The Helmsman Flight Board is an open-source main flight computer and electrical power system for educational and entry-level CubeSats. The board incorporates commercial off-the-shelf (COTS) components in conjunction with simplified monitoring and management circuitry, supporting easy adoption, modifiability, and affordability while crucially enabling the emerging aerospace industry’s rapid ‘design-build-test’ methodology in student satellite teams. Its design includes essential CubeSat subsystems such as battery management, command and data handling, attitude determination, on-board processing, and is built to support real-time embedded operating systems. Key features include an Arm Cortex-M7 based STM32, radiation-resistant memory for OS storage, bulk Flash memory, real-time clock, two …

An Empirical Study On The Capability Of Large Language Models In Learning Causality, Joseph Bergin

Electrical Engineering and Computer Science Undergraduate Honors Theses

Large language models (LLMs), including Google’s Gemini, OpenAI’s GPT series, and Meta’s Llama, have driven remarkable advancements in artificial intelligence, achieving complex, human-like performance across many fields. These transformer-based models are skilled at processing and generating many types of textual information, enabling them to perform a variety of tasks. However, an important question remains about their actual capacity to grasp causal relationships—whether these models can truly differentiate between causal directions or simply respond based on learned patterns. This thesis tests this ability by evaluating LLMs on tasks created to test their understanding of causal, anti-causal, and third-party reasoning. We conduct …

Artificial Intelligence Computational Techniques Of Flywheel Energy Storage Systems Integrated With Green Energy: A Comprehensive Review, Abdelmonem Draz, Hossam Ashraf, Peter Makeen

Electrical Engineering

In recent years, the operation of the electric power grid has become more efficient and resilient due to the integration of renewable energy sources (RESs). Solar and wind energy are being incorporated aggressively into the main grid, while other RESs like biomass and geothermal energy are also on the rise. However, the intermittent nature of these RESs necessitates the use of energy storage devices (ESDs) as a backup for electricity generation such as batteries, supercapacitors, and flywheel energy storage systems (FESS). This paper provides a thorough review of the standardization, market applications, and grid integration of FESS. It examines the …

A Machine-Learning Approach To Predicting The Achievement Of Australian Students Using School Climate; Learner Characteristics; And Economic, Social, And Cultural Status, Myint S. Khine, Yang Liu, Vivek K. Pallipuram, Ernest Afari

Pacific Faculty Work

The Programme for International Student Assessment (PISA) is a global survey conducted by the Organisation for Economic Co-operation and Development (OECD) to assess educational systems by evaluating the academic performance of 15-year-old school students in mathematics, science, and reading. In PISA 2022, 13,437 students from Australia participated in the test. While the PISA main questionnaire assesses the subject knowledge, the student background questionnaire solicits contextual information such as school climate, learner characteristics, and socioeconomic status. This study analyses how these contextual variables predict student achievement using the machine-learning models Ridge Linear Regression, K-Nearest Neighbours, Decision Trees, eXtreme Gradient Boosting, and …

Interpreting Strain Caused By Transient Well Testing, Soheil Roudini

All Dissertations

Understanding reservoir properties and structure is essential to managing subsurface operations, such as geologic storage of CO₂ or production of water, hydrocarbons or heat. Previous work demonstrated the potential of analyzing strain data during transient well tests by estimating hydraulic diffusivity using a type-curve-like approach. The following dissertation aims to pursue this potential by developing and evaluating methods for interpreting strain tensor data to improve subsurface characterization. The research advances the classic, intuitive method of using type-curves to interpret well tests, but it also brings together modern computational methods from machine learning, proxy modeling and Bayesian inversion, and it …

Rover Chassis & Suspension, Nikki Zainer, Aung Bhone Zaw, Joelle Romero, Colin Thompson

Mechanical Engineering

The Mars rover project is part of the University Rover Challenge (URC), a robotics competition organized by the Mars Society that tasks student teams with designing and building the next generation of Mars rovers. Cal Poly Human Space Technology and Research (CP-HSTAR) has inherited a rover developed by a previous senior design team.

This report documents the progress made in refining the rover’s structure, highlighting key specifications, and detailing design improvements aimed at enhancing the suspension’s structural integrity, improving wheel traction, increasing modularity, and developing an enclosed chassis for electronic components.

This report includes a detailed breakdown of the rover’s …

Innovative Practices And Safety Culture In Modern Construction: A Case Study Of The Millstone Weber Reconstruction Project, Ariana Alexander

Honor’s College Freeman Research Journal

This thesis explores the operations of Millstone Weber, a leading construction firm formed through the merger of Millstone Bangert, Inc., and Fred Weber, Inc., with a focus on its innovative practices and safety culture. Highlighting the Runway 17L-35R reconstruction project in Denver, Colorado, the study examines the multifaceted role of a Field Engineer and Safety Intern. Responsibilities included data management, QA/QC inspections, subcontractor coordination, and the application of advanced tools like Bluebeam for project planning and execution. The internship revealed key insights into balancing safety with efficiency, managing communication gaps, and addressing task allocation disparities. Observations highlighted challenges such as …

Advancements In Polymer Synthesis And Ceramic Additive Manufacturing For Energy Applications, Sofia Gabriela Gomez

Open Access Theses & Dissertations

The aim of this work was to create polymer and ceramic materials for integration into energy applications. The first part of this research was to fabricate polymer syntactic foams that exhibited high energy absorption capabilities. The fabrication of polymer syntactic foams was feasible through synthesizing hollow polysiloxane microspheres that were imbedded into a polydimethylsiloxane (PDMS) matrix. An array of characterization techniques was used to test the material and physical properties of the syntactic foams. The next step of this research was to fabricate a porous water emulsion foam ink for use in Direct-Ink-Write (DIW) additive manufacturing (AM) technologies. Unlike the …

Optimal Route Planning Considering Microlevel Sequence Of Delivery Task Using Computer Simulation, Dana Alejandra Zamorano Orozco

Open Access Theses & Dissertations

As globalization reshapes our industries worldwide, supply chain management has evolved into a highly interconnected world that oversees traditional management, making countries more interdependent. Driven by rapid technological advancements, this shift allows companies to share information in a matter of seconds across continents, aligning operations and building adaptability to quick changes. Therefore, industries have greatly needed to adjust to and use the new technology to their advantage. However, even when this impact can be observed globally, the general impact can be analyzed and eradicated by performing micro-level analysis within the supply chain using technologies to their advantage. AnyLogic is a …

Practical Model Of A Labview Controlled Active Magnetic Bearing On A Bently Rotor Kit Validated With Matlab And Msc Adams, Luis Herrera-Delgado

Master's Theses

This thesis aimed to model a rotor supported by an active magnetic bearing (AMB). The magnetic force equation due to a single electromagnet was first derived which served as the basis of AMB modeling. The finalized model utilized Matlab, Simulink, and MSC Adams to simulate a rotor supported by an AMB. Matlab and Simulink were used to model the AMB control system and actuator output. MSC Adams was used to capture the dynamics of a flexible rotor. This model was verified by comparing the model’s simulated vibration to real vibration data measured from a modified Bently Nevada rotor kit equipped …

Quantum Visual Feature Encoding Revisited, Xuan-Bac Nguyen, Hoang-Quan Nguyen, Hugh Churchill, Samee U. Khan, Khoa Luu

Computer Science and Computer Engineering Faculty Publications and Presentations

Although quantum machine learning has been introduced for a while, its applications in computer vision are still limited. This paper, therefore, revisits the quantum visual encoding strategies, the initial step in quantum machine learning. Investigating the root cause, we uncover that the existing quantum encoding design fails to ensure information preservation of the visual features after the encoding process, thus complicating the learning process of the quantum machine learning models. In particular, the problem, termed the “Quantum Information Gap” (QIG), leads to an information gap between classical and corresponding quantum features. We provide theoretical proof and practical examples with visualization …

Magnetic Nano And Micro Rods As Tools For Characterizing Materials Mechanical Properties: Fundamentals And Applications, Artis Brasovs

All Dissertations

The focus of this dissertation is insect blood (Hemolymph). Hemolymph is analyzed by taking a materials science approach. Rheological characterization of hemolymph has been performed for the first time. Owing to a minute amount of available material, a new protocol was established where Magnetic Rotational Spectroscopy (MRS) with ferromagnetic nanorods was employed. The challenge was examining the microliter droplets' viscosity in less than a few minutes. This challenge was successfully resolved.

Blood is critical for the insect's survival: after wounding, the insect has to seal the wound quickly, in a few minutes. As the mechanism of fast clotting has never …

Laser Processing Of Multi-Phase Ceramics, Siddhartha Sarkar

All Dissertations

This research explores laser-based processing for multi-phase ceramics, offering a faster, more energy-efficient alternative to conventional ceramic fabrication. Four material systems are explored: silica-titania, alumina-iron, polymer-derived ceramic SiC-gadolinium zirconate, and polymer-derived ceramic SiC-yttrium silicate.

The silica-titania study presents a novel direct CO₂ laser writing approach to fabricating pure silica and silica-titania glasses with exceptional dimensional control and optical transparency, enabling fine spatial resolution, instantaneous consolidation, and eliminating post-heat treatment. Notably, the TiO₂ solubility in the silica network achieved is higher than previously reported, with structures remaining crack-free and transparent up to a specific TiO₂ percentage.

The alumina-iron …

Computational Representation, Analysis And Verification Of Requirements In Engineering Design And Systems Engineering, Chandan Kumar Sahu

All Dissertations

Systems are developed to satisfy a set of requirements derived from stakeholders’ needs, defining the problem space for which the system is created as a feasible solution. The system design process begins with eliciting these requirements and concludes with validating whether the created system meets them. Requirements engineering (RE) encompasses elicitation, representation, analysis, documentation, verification, and validation. However, challenges in RE, such as imprecision in natural language (NL), proprietary restrictions, and a lack of standardized quality metrics, hinder the creation of well-formed and comprehensive requirements. These challenges complicate formalization and analysis of requirements.

This dissertation addresses these challenges by proposing …

Nanostructured Silicon Meta-Waveguides And Surfaces For Enhanced Light-Matter Interaction, Saddam Gafsi

All Dissertations

In this study, we tackle the challenge of light-matter interaction engineering and local field enhancement using various silicon photonic platforms based on three different approaches. (i) The first approach is based on boundary condition engineering where we present and show through simulation and experimental results, a silicon nanodisk “diabolo” configuration able to support significant local field enhancement levels in the range ~102 to 104 in the high index medium through proper structural modifications at the nanoscale. We show that the presented optical behavior is consistent with the anapole modes characterized by the observed near-field enhancement and coinciding with far-field suppression. …

Protocol Transformations Across Osi Network Stack Layers For Attack, Evasion, And Defense, Nathan Tusing

All Dissertations

Network endpoints frequently contend with errors and deviations within protocols. Many factors account for these deviations including noise, tampering, and algorithm implementations. Intermediate nodes are expected to modify instantiated protocols and not guarantee correctness. This ability to modify traffic enables all sides of network security to alter security and performance properties of protocols, and we define this intermediary modification of an instantiated protocol as a transformation. Protocol transformations traverse layers of the OSI reference model and changes a protocol's time series byte sequence. Within this thesis, we show that this framework applies to multiple domains and protocols. Common examples of …

Enhancing Protonic Ceramic Fuel Cells By Advanced Laser Processing For Superior Performance, Tianyi Zhou

All Dissertations

As global temperatures rise, the demand for clean energy solutions intensifies. Protonic ceramic fuel cells (PCFCs) offer advantages like higher conductivity at moderate temperatures (300–700 °C), fuel flexibility, stability, and lower costs. However, traditional PCFC manufacturing faces challenges with interface defects, structural imperfections, and scalability, especially in producing large-area cells and stacks.

This work addresses these issues using advanced laser processing techniques. Laser ablation and direct laser rapid additive manufacturing (DL-RAM) enable precise control of PCFC microstructures, removing surface defects and increasing bonding strength for higher efficiency. Digital layer deposition allows for large-area PCFC single cells and stack production with …

Supporting Holistic, Informed, Decision-Making Through The Complementarity Of Life Cycle Assessment And Radiological Protection, Bryanna Wattier-Weisensee

All Dissertations

Decision making is challenging and it is necessary to consider all relevant data to make an informed decision. The work herein provides a pathway wherein the fields of radiological protection and life cycle assessment (LCA) can be utilized synergistically to benefit the decision-making using the other (and vice versa). Specifically, LCA parallels decision-aiding techniques used in the optimization of radiological protection and LCA includes an ionizing radiation potential (IRP) impact category wherein the impacts associated with an emission of radioactive material is quantified to determine the human health impact. Thus this body of work focuses on (1) expanding the platform …

Exploring The Compositional Limits Of Y2o3-Al2o3-Sio2 Optical Fibers, Miranda Stone

All Dissertations

Of the widely varying compositions fabricated into optical fibers using the molten core method (MCM), the most studied by far as been those in the Y₂O₃-Al₂O₃-SiO₂ (YAS) system. Such fibers have been shown to be of interest for fiber amplifiers and lasers since they exhibit a good balance between reasonable loss, intrinsically low optical nonlinearities, and efficient gain. The majority of the fibers studied globally to-date have primarily focused on YAG-derived fibers, i.e., YAG (Y₃Al₅O₁₂) single crystals drawn in a pure SiO₂ cladding glass) …

Short-Circuit Modeling And Instantaneous Overvoltage Protection Of Renewable Farms, Shah Mohazzem Hossain

All Dissertations

The existing utility grid is experiencing a paradigm shift in electricity generation due to a significant penetration of renewable energy sources. This shift is primarily driven by the large-scale integration of solar and wind energy farms, particularly in the transmission network, where these farms are typically accompanied by battery energy storage in a hybrid configuration to overcome source intermittency and improve reliability. Such renewable farms comprise numerous inverters, pad-mounted transformers, collector feeders, and dc-side components depending on the generation-source type. Additionally, inverters within these farms exhibit distinct operating modes, such as `grid-following'(GFL) and `grid-forming'(GFM), as well as fault control modes, …

Multifunctional Peptides To Improve Nucleic Acid Delivery For Ovarian Cancer Treatment, Kharimat Lora Alatise

All Dissertations

RNA interference (RNAi) therapies, such as small interfering RNA (siRNA), offer a high-precision approach to reducing the expression of disease-promoting genes with minimal off-target effects. For aggressive diseases like ovarian cancer, RNAi therapy can serve as a robust treatment modality if delivered successfully. Over 70% of ovarian cancer patients are diagnosed in stages three and four, where the disease becomes more difficult to treat. High relapse rates and drug resistance in these stages demonstrate the need for novel strategies to sensitize tumors to chemotherapy, making siRNA a promising avenue for targeting resistance-associated oncogenes.

However, the delivery of siRNA remains a …