Digital Commons Network^™

Refactoring Dependency Loading And Standardizing Factory Patterns In The Horizon Simulation Framework, Jack W. Kelly

Master's Theses

The Horizon Simulation Framework (HSF) is an open-source community driven mod- eling and simulation tool developed over 15 years by a lineage of Cal Poly graduate students. The tool excels in its flexibility to model an assortment of complex systems, with prebuilt modeling elements available for the simulation of space missions. A high-level simulation tool like HSF lends itself to an agile development cycle as system constraints can be quickly identified through day in the life simulation of the modeled system. The objective of the work presented in this thesis is to refactor the way in which several modeling elements …

Assessing The Resilience Of Mycorrhizal Networks Following Central Tree Removal, Deon Lillo

Master's Theses

Mycorrhizal networks (MNs), or the networks of fungal mycelia that connect plants to each other, are vital in contributing to the well-being of ecosystems. They not only assist in the transport of nutrients across an ecosystem, but also help protect an ecosystem from disease and adverse conditions. However, more research into these networks is needed and modelling these networks as graphs can help us achieve this. By applying centrality analysis and performing k-core partitioning on these networks, we are able to identify the trees that are most important and central to a MN and observe the effects of removing these …

Effects Of Concussion And Visuomotor Metrics On Nhl Performance: An Explainable Ai Approach, Michael T. Moschitto

Master's Theses

Cognitive motor integration (CMI), the simultaneous coordination between cerebral function and motor output, is known to deteriorate following a mild traumatic brain injury (mTBI). This thesis explores the relationship between mTBI, CMI, and the performance of elite athletes in the National Hockey League (NHL). The approach focuses on examining the predictive value of various supervised Machine Learning (ML) models with an emphasis on Explainable Artificial Intelligence (XAI) models. Since the ML solution is intended to complement human scouting decisions, we evaluate the experiments based on both interpretability and accuracy on a limited class imbalanced dataset. The contributions of this research …

Solving Supersonic Flows Using The Method Of Integral Relations In Python, Eddie Hsieh

Master's Theses

This thesis presents a modern approach to the Method of Integral Relations implemented in the Python programming language. This work is based on South's reports on solving supersonic conical flows and Belotserkovskii's publications on solving supersonic flows over blunt bodies. The Python SciPy library is extensively used in this thesis. A root finder module is used to perform South's solution process, and the Runge-Kutta ODE solver with dense output is implemented to replicate Belotserkovskii's solution process. The implementation of Python makes the development efficient and serves as an open-source framework for future work to build on. This work focuses on …

Range-Doppler Map Processing Chain For Marine Radar On Fpga Of An Rfsoc, Nickolas W. Ogilvie

Master's Theses

To improve the accuracy and resolution of the measurements, radar systems employ increasingly complex, resource-intensive signal processing, larger bandwidths, and higher carrier frequencies. However, implementing these improvements requires more expensive, complex electronics that are larger and use more power. Using RFSoC (Radio Frequency System on Chips) in radars can address these challenges. By combining processors, an FPGA (Field Programmable Gate Array), and RF data converters into a single integrated circuit, RFSoCs allow for radar electronics that are physically smaller, use less power, and are simpler to design. As using RFSoCs to perform RF data conversion for radars has been already …

Implementation Of Log4net And Parametric Modeling Within The Horizon Simulation Framework, Evan Andrew Droz

Master's Theses

Creating system models and simulations allow for rapid, iterative analysis of spacecraft mission performance. This design methodology provides opportunities for improvement before allocating resources towards further physical spacecraft development. Horizon Simulation Framework (HSF) is a system evaluation tool that can be used for the assessment of spacecraft mission performance, subject to mission targets, constraints, and spacecraft design. Specific subsystems are defined for a unique mission case and are evaluated through a Day-in-the-Life (DITL) scenario simulation. Valuable information can be derived from failed attempted mission-related events, highlighting shortcomings in subsystem capabilities. Further information can be unveiled by assessing possible system sensitivity …

Design And Implementation Of A Prototype Pendulum Platform For Aerospace Controls Education, Zachary A. Wright

Master's Theses

This thesis presents a modular, low-cost, prototype inverted pendulum platform for undergraduate Aerospace control theory research and education. The platform's default configuration integrates a propeller and reaction wheel as its actuators, with multiple sensors available to measure the pendulum's states. The platform utilizes open-source software and hardware to power the actuators, and uses MATLAB/Simulink to streamline data collection. System identification techniques are applied to the platform, and the mathematical model of the pendulum is verified. Momentum exchange between the reaction wheel and propeller during closed-loop stabilization of the pendulum is demonstrated.

Composite Solid Rocket Motor Case Optimization With Matlab Genetic Algorithm, Aleksandr Breit

Master's Theses

This study utilizes MATLAB genetic algorithm (GA) to perform optimization on a solid rocket motor (SRM) chamber structure. The (SRM) structure is modelled as a cylindrical composite laminate where unidirectional fiber orientations are the primary design variable in the optimization problem formulation. Additional design variables such as chamber length, diameter, and internal pressure are altered along with the ply angles to minimize the safety margin towards a near-zero value and encourage efficient layup design. Classical lamination theory with Tsai-Wu failure criterion are used to calculate ply-level safety margins. A thickness minimization scheme is employed to reduce the ply count from …

Enhancing Telecom Churn Prediction: Adaboost With Oversampling And Recursive Feature Elimination Approach, Long Dinh Tran

Master's Theses

Churn prediction is a critical task for businesses to retain their valuable customers. This paper presents a comprehensive study of churn prediction in the telecom sector using 15 approaches, including popular algorithms such as Logistic Regression, Support Vector Machine, Decision Tree, Random Forest, and AdaBoost.

The study is segmented into three sets of experiments, each focusing on a different approach to building the churn prediction model. The model is constructed using the original training set in the first set of experiments. The second set involves oversampling the training set to address the issue of imbalanced data. Lastly, the third set …

Feasibility Assessment Of An All-Electric, Narrow-Body Airliner, Ariel Sampson

Master's Theses

Combustion emissions from aviation operations contribute significantly to climate change and air pollution. Accordingly, there is increasing interest in advancing battery-powered propulsion for aviation applications to reduce emissions. As batteries continue to improve, it is essential to recognize breakthroughs in battery specific energy in the context of air transport vehicles. Most electric aircraft designs and programs have focused on small aircraft because of restrictive battery performance. This work presents a feasibility assessment for an all-electric airliner based on an Airbus A220-100 with turbofan engines replaced by electric motors and propellers. The analysis compares the performance characteristics of the electric airliner …

Assessing Dynamics And Trends Of Co2 Flux On The Louisiana Shelf, Claire Mcguire

Master's Theses

The Gulf of Mexico on an annual timescale acts as a sink for ­CO₂. Previous studies have investigated regional-scale trends in the Gulf based on model output. In our investigation of the northern Gulf of Mexico, and especially the area surrounding the Louisiana delta, we found different trends compared with previous studies of the open ocean Gulf and broader shelf region. Predictions of global patterns of the ocean CO₂ cycle require regional studies of unique areas like the Louisiana Shelf. The Louisiana Shelf is a shallow system, has input from river systems, experiences seasonal hypoxia, and is …

Understanding The Flow Dynamics Of The Pearl River, Ms, Through Hydrodynamic Modeling, Nahruma Mehzabeen Pieu

Master's Theses

The Pearl River brings fresh water and nutrients into Lake Borgne regulating conditions for oyster growth in estuarine waters. However, there are no flow measurement stations installed on East Pearl or West Pearl either at the river outlets or after the upstream bifurcation of the Pearl. This study aims to model the Lower Pearl River to understand the flow dynamics in the major branches, and to determine the final outflow distribution into the Mississippi Sound, aiming to improve river forcing for ocean models studying estuarine dynamics of the Mississippi Sound.

Synthetic meandering bathymetry with updated banks is developed and applied …

Agricultural Shocks On Household Stability: A Case Study Of Tanzania Maize Farmers, Zimmi Silonda Ndlovu

Master's Theses

As the global populations grow, the need for stronger agricultural resilience in areas with high food insecurity like Sub-Saharan Africa (SSA) is a must. Crop failure due to climate related events has increased substantially over the past decade, raising the risks to vulnerable groups like subsistence farmers. Understanding the effects of climate variability on farmers and their crops is a pivotal step towards increasing resilience and productivity. In this paper I approach this question using a Linear Probability Fixed-effects Model on Tanzanian Panel Survey data with monthly temperature and precipitation for years 2008 to 2013. Results suggest a negative relationship …

Positive Out Of The Negative: Tracking Renewable Energy Projects In Central America, Jordan Ethan Castillo (Miner)

Master's Theses

Central America is undertaking a vast Renewable Energy (RE) transition, due to widespread investments across the region in an array of technologies. These technologies include Community Solar, Wind, and Hydroelectricity. Hydroelectricity has long been the backbone of many countries’ energy grids in the region due to the region’s long history with hydroelectricity. Ambitious climate goals coupled with diminishing hydroelectric power generation opportunities have led to an expansion of investment in Community Solar and Wind energy. The embrace of Solar and Wind has been accelerated due to declining costs for these technologies as they mature. Central America as a case study …

Mapping Effectiveness: Farm Mechanization Initiatives By Lumbini Province Of Nepal (Fiscal Year 2018/19), Ananda Phuyal

Master's Theses

An effective farm mechanization program should increase crop production and be profitable to the benefitting households. Increasing labor shortages and decreasing animal draft power in agriculture demanded farm mechanization to increase food productivity in Nepal. To increase crop yield, the Ministry of Land Management, Agriculture and Cooperative (MOLMAC) of Lumbini Province in Nepal distributed 1994 subsidized tools and machinery in Fiscal Year 2018. The farm mechanization program by the government was an ambitious program and was implemented without research to address the actual need of the geography. However, the program had a positive impact on the community. It is found …

Agricultural Shocks On Household Stability: A Case Study Of Tanzania Maize Farmers, Zimmi Ndlovu

Master's Theses

As the global populations grow, the need for stronger agricultural resilience in areas with high food insecurity like Sub-Saharan Africa (SSA) is a must. Crop failure due to climate related events has increased substantially over the past decade, raising the risks to vulnerable groups like subsistence farmers. Understanding the effects of climate variability on farmers and their crops is a pivotal step towards increasing resilience and productivity. In this paper I approach this question using a Linear Probability Fixed-effects Model on Tanzanian Panel Survey data with monthly temperature and precipitation for years 2008 to 2013. Results suggest a negative relationship …

Understanding The Impacts Of Topobathymetric Data On Storm Surge Model Predictions, Sydni Crain

Master's Theses

The topobathymetric characteristics of a region are regularly altered by natural and anthropogenic causes. This directly impacts the resulting storm surge during a hurricane. The primary goal of this research was to gain a better understanding of the impact that topography and bathymetry have on storm surge models, particularly the Advanced Circulation (ADCIRC) Model. Hurricane Zeta (2020) and Hurricane Ida (2021) were chosen as case studies; therefore, the Gulf of Mexico (GOM) was chosen as the study site. This research was completed by comparing ADCIRC storm surge results which were based on older, lower-resolution data with results derived from more …

Determining The Refractive Index Of Phytoplankton Via Direct Measurement Of Cellular Structures, Michael Kamowski

Master's Theses

The refractive index of phytoplankton has never been directly measured before despite its importance towards studying the optical characteristics of marine particles. Previous attempts to measure it have been done through indirect methods. While these methods have proven useful, they contain assumptions about the particles morphology and composition that cause for uncertainty with the measurements. Through the use of the 3D Cell Explorer, a high precision holotomographic microscope, the RI of phytoplankton can be directly measured for the first time. With volume measurements, the phytoplankton were found to not display a single bulk RI, instead the bulk RI was different …

Ramie (Boehmeria Nivea): An Underutilized Plant For A Multipurpose Industrial Application; A Perennial Plant With Protein Identification Using Maldi-Ms, A Biosorbent For Hg (Ii) Removal From Water And As A Bast Fiber Production Via Enzymatic Degumming, Abdul Rashid Issifu

Master's Theses

Identifying plant species that can offer life support to humans and animals without damaging the environment is quite challenging. Ramie, one of the oldest fiber crops was studied due to its nutritional value as fodder and other multipurpose applications in, e.g., medicinal, environmental, and textile industrial fields.

With a brief discussion of background in Chapter I, Chapter II focused on using a proteomic method to investigate unknown proteins in the leaves of ramie and to study their benefits to the biological system. PPiase and RuBisCO with molecular weight 15 and 52 KDa were identified as the proteins after peptide mass …

Predicting Suicide Risk Among Youths Using Machine Learning Methods, Saswati Bhattacharjee

Master's Theses

Suicide is the second leading cause of death among youths in the USA. Although machine learning approaches have provided great potential for predicting suicide risk using survey data, prediction accuracy may not meet the need for clinical diagnosis due to the intrinsic characteristics of datasets. In this study, I perform a comparative study of six classification algorithms including naïve Bayes (NB), logistic regression (LR), multilayer perceptron (MLP), AdaBoost (Ada), random forest (RF), and bagging using YRBSS dataset and investigate the effectiveness of several data handling techniques to improve the overall performance of suicide risk prediction.

The dataset consists of 76 …

Heating Systems And Households’ Expenditure, Svitlana Holyk

Master's Theses

The heating energy expenditure has been frequently taken to the consideration across different studies of poverty reduction. However, there is an unresolved question related to understanding how households’ expenditures might be distinct due to the heating system characteristics. This research implements matching methods to investigate the causal effect of the heating system on households’ gas and electricity expenditure in Ukraine. The result indicates that there is a significant difference in the utility expenditure between the District heating system (DHS) and the Individual heating system (IHS) households. The inherited from the past the Soviet District heating system Model in Ukraine doesn’t …

An Investigation Of Resistance Training Behavior, Non-Specific Psychological Distress, And Perceived Barriers To Resistance Training In Self-Identifying Female Undergraduate Students, Jody Sobel

Master's Theses

The prevalence and severity of depression symptoms amongst college students, specifically female identifying undergraduate students, is worrisome. There is a great deal of research that suggests a relationship between exercise, specifically resistance training (RT), and mental health. That said, current literature suggests that many female identifying students are not engaging due to perceived barriers. This, perhaps because of the plethora of barriers one can perceive. The purpose of this study was multifold 1) to examine the prevalence and severity of non-specific psychological distress; 2) to determine if there were differences between Kessler 6 Non-Specific Psychological Distress Scale (K6) categories (i.e., …

Implementation Of Methods For Cell Therapy Research And Assessment Of The Impact Of Cryopreservation, Samantha Lynes

Master's Theses

Cell therapy is the administration of living cells into a patient to prevent or treat a variety of diseases and illnesses. The cell therapy industry is rapidly expanding, and continued research is necessary for manufacturing safe and effective therapies. Although cell therapy manufacturing generally involves cryopreservation processes for storage, there are limited standards for cryopreservation processes and assays required to evaluate cell therapies post-thaw, and limited understanding exists about how a recovery period post-thaw could impact cell health. The overall goal of this thesis was to evaluate the effect of cryopreservation and potential subsequent recovery time on cell viability.

Because …

Nutritional Adequacy Of Dietary Intake Among College Students Who Follow A Veget, Kayanna L. Pulliam

Master's Theses

In recent years, forms of the vegetarian diet have been popularized for various reasons, including health benefits, support of animal rights, and greater sustainability claims. The purpose of this cross-sectional study was to examine the diet quality and adequacy and iron status of college students’ diets, and compare eating disorder (ED) risk between self-proclaimed vegetarians and non-vegetarians. The study sample was a convenience sample of students at Louisiana Tech University who were 18 years of age or older (N = 179). Students were recruited via email, flyers, and classroom announcements. Participants completed an online questionnaire with multiple validated tests; The …

Lunar Applications Of Direct Contact Membrane Distillation For Regolith And Hydroponic Water Processing, Mark Wong

Master's Theses

Water management has always been a critical issue facing lunar missions, since its uses are as numerous as they are vital. Using ionic liquids has been proposed for the purpose of processing the metal oxides in lunar regolith into oxygen and metals. The process used dilutes the ionic liquid. Recycling the ionic liquid solution after regolith processing is essential to reduce materials required in resupply missions and to supply oxygen. Water will also be needed for lunar farms to both grow food and assist in maintaining a habitable atmosphere. The use of direct contact membrane distillation (DCMD) technology is a …

Deadwood Facilitates Increased Predators Resulting In Distinct And Functionally Different Leaf Litter Communities, Nicholas Benedetto

Master's Theses

Community structure and ecosystem function may be driven by the amount and size of habitat or energy within an environment, but these metrics (space and energy) are difficult to separate, especially in systems where habitat is also a source of energy such as detritus (dead organic matter including deadwood). Deadwood can impact forest food webs through the creation of habitat and provision of resources and initial differences in wood characteristics may differentially impact food webs. Bark beetles attack and kill pine trees, inoculating them with bluestain fungi (Ascomycota: Ophiostomataceae). Bluestain fungi may increase termite presence in deadwood, and possibly in …

Nutritional Adequacy Of Dietary Intake Among College Students Who Follow A Vegetarian Diet As Compared To Non-Vegetarian Students, Kayanna L. Pulliman

Master's Theses

No abstract provided.

Digital Implementation Of An Incremental Quantity Directional Protective Relay Element And Its Applications Using An Automated Testing Procedure, Deven Hymel

Master's Theses

This thesis presents the design and analysis of a digital model of an incremental-quantity-based directional protective relay element using the electromagnetic transient program (EMTP). The digital model is based on a similar protective element present in commercially available time-domain-based relays and provides directional fault detection using incremental quantities. Such models are not readily available in transient study programs.

The element’s operating principles are discussed in detail, and the digital design process is outlined. The digital model is designed in a simplified test system, and upon validation using a real-world time-domain-based relay, its performance is analyzed using the model of a …

Rattus Norvegicus As A Biological Detector Of Clandestine Remains And The Use Of Ultrasonic Vocalizations As A Locating Mechanism, Gabrielle M. Johnston

Master's Theses

In investigations, locating missing persons and clandestine remains are imperative. One way that first responder and police agencies can search for the remains is by using cadaver dogs as biological detectors. Cadaver dogs are typically used due to their olfactory sensitivity and ability to detect low concentrations of volatile organic compounds produced by biological remains. Cadaver dogs are typically chosen for their stamina, agility, and olfactory sensitivity. However, what is not taken into account often is the size of the animal and the expense of maintaining and training the animal. Cadaver dogs are typically large breeds that cannot fit in …

Trace Dna Detection Using Diamond Dye: A Recovery Technique To Yield More Dna, Leah Davis

Master's Theses

This study aspires to find a new screening approach to trace DNA recovery techniques to yield a higher quantity of trace DNA from larger items of evidence. It takes the path of visualizing trace DNA on items of evidence with potential DNA so analysts can swab a more localized area rather than attempting to recover trace DNA through the general swabbing technique currently used for trace DNA recovery. The first and second parts consisted of observing trace DNA interaction with Diamond Dye on porous and non-porous surfaces.

The third part involved applying the Diamond Dye solution by spraying it onto …