Digital Commons Network^™

Integrated Computer Science Unit For Early Exposure To A Diverse Population, Di Hoang

Master's Theses

Reports from major tech companies, such as Airbnb, Facebook, Microsoft, Google, Apple, and Yahoo, indicate that gender diversity and ethnic diversity are lacking in the tech industry [22]. The US Bureau of Labor Statistics projected a 24% increase in the number of software development positions (roughly an increase of 300,000 jobs) between 2016 and 2026 [64]. The main motivation behind this thesis is to expose computer science to young children and encourage teachers to include computer science in their classrooms in the hope of contributing to the current effort of increasing diversity within tech fields in the next decade.

This …

Sok: A Practical Cost Comparison Among Provable Data Possession Schemes, Alex Michael Bartlett

Master's Theses

Provable Data Possession (PDP) schemes provide users with the ability to efficiently audit and verify the integrity of data stored with potentially unreliable third-parties, such as cloud storage service providers. While dozens of PDP schemes have been developed, no PDP schemes have been practically implemented with an existing cloud service. This work attempts to provide a starting point for the integration of PDP schemes with cloud storage service providers by providing a cost analysis of PDP schemes. This cost analysis is performed by implementing and analyzing five PDP schemes representative of the dozens of various PDP approaches. This paper provides …

Analysis Of Verification And Validation Techniques For Educational Cubesat Programs, Noah Weitz

Master's Theses

Since their creation, CubeSats have become a valuable educational tool for university science and engineering programs. Unfortunately, while aerospace companies invest resources to develop verification and validation methodologies based on larger-scale aerospace projects, university programs tend to focus resources on spacecraft development. This paper looks at two different types of methodologies in an attempt to improve CubeSat reliability: generating software requirements and utilizing system and software architecture modeling. Both the Consortium Requirements Engineering (CoRE) method for software requirements and the Monterey Phoenix modeling language for architecture modeling were tested for usability in the context of PolySat, Cal Poly's CubeSat research …

Optimizing The Distributed Hydrology Soil Vegetation Model For Uncertainty Assessment With Serial, Multicore And Distributed Accelerations, Andrew Adriance

Master's Theses

Hydrology is the study of water. Hydrology tracks various attributes of water such as its quality and movement. As a tool Hydrology allows researchers to investigate topics such as the impacts of wildfires, logging, and commercial development. With perfect and complete data collection researchers could answer these questions with complete certainty. However, due to cost and potential sources of error this is impractical. As such researchers rely on simulations.

The Distributed Hydrology Soil Vegetation Model(also referenced to as DHSVM) is a scientific mathematical model to numerically represent watersheds. Hydrology, as with all fields, continues to produce large amounts of data …

Examining Academic Success For Underrepresented Minority Science Technology Engineering And Mathematics Students Within Hispanic Serving Institutions And Predominantly White Institutions, Denise Romero

Master's Theses

With the higher enrollment among underrepresented minority students (URMs) in higher education, the unique challenges first generation students face has been highly studied, especially in regards to the issue of retention and academic success. That is, how do higher education institutions and professionals best academically support these students through the completion of their undergraduate degree? This paper seeks to compare the identity development of URMs within Hispanic serving institutions (HSI) and predominantly white institutions (PWI) by building on academic literature in higher education addressing identity development and achievement for URMs pursuing an education in STEM. This study offers important insights …

Automatic Construction Of Scalable Time-Stepping Methods For Stiff Pdes, Vivian Ashley Montiforte

Master's Theses

Krylov Subspace Spectral (KSS) Methods have been demonstrated to be highly scalable time-stepping methods for stiff nonlinear PDEs. However, ensuring this scalability requires analytic computation of frequency-dependent quadrature nodes from the coefficients of the spatial differential operator. This thesis describes how this process can be automated for various classes of differential operators to facilitate public-domain software implementation.

Analysis Of The Upper Cotton Valley Group In The Northeastern Mississippi Interior Salt Basin, Theresa A. Woehnker

Master's Theses

The Mississippi Interior Salt Basin (MISB) is a major negative structural feature in the interior onshore northeastern Gulf of Mexico. The Cotton Valley Group is an Upper Jurassic – Lower Cretaceous subsurface siliciclastic unit that has been studied extensively in the MISB for the last several decades because of its high potential as a reservoir rock. This study focuses on the Shuler Formation in the Upper Cotton Valley, which consists of an upper Dorcheat Member, and a lower Shongaloo Member. The boundary between these units correspond to a transgressive-regressive sequence boundary, which marks the beginning of a rise in sea …

Evaluating The Effects Of An Independent Versus Interdependent Reinforcement Contingency On Teachers' Use Of Behavior Specific Praise, Ashleigh E. Eaves

Master's Theses

The present study sought to evaluate the effects of two reinforcement contingencies on the use of behavior specific praise in the classroom setting. An alternating treatments design was used to rapidly evaluate the effects of both an independent and interdependent paired contingency to increase frequency of behavior specific praise delivery. Four general education elementary school teachers and their students participated. Teachers’ use of behavior specific and general praise, as well as, behavior specific and general reprimands were evaluated during baseline and treatment phases. Data were also collected on students’ levels of academic and disruptive behaviors. Both the independent and interdependent …

Life-History Characteristics And Fishery Dynamics Of Red Drum (Sciaenops Ocellatus), In The North-Central Gulf Of Mexico, Corbin Bennetts

Master's Theses

Red Drum (Sciaenops ocellatus) are highly targeted recreationally in the Gulf of Mexico, and support a small commercial fishery in Mississippi. Despite their popularity, the stock is assessed using data limited approaches that necessitate accurate life history information. I estimated the year-specific and year-aggregated escapement rates for the Mississippi stock (years 2004 to 2015), which were sensitive to mortality estimation methods; year-aggregated estimates were 6.9 to 28.2 % depending on the method, but temporal patterns were consistent. I then addressed concerns with previously estimated life-history characteristics by describing the sex-specific growth and reproductive dynamics. The three-parameter von Bertalanffy …

Interplay Of Dgat1, Pdat1 And Dgat2 Enzymes In Plant Triacylglycerol Assembly, Anushobha Regmi

Master's Theses

Acyl-CoA:diacylglycerol acyltransferase (DGAT) catalyzes the transesterification of fatty acid from acyl-CoA to diacylglycerol (DAG) forming triacylglycerol (TAG, a.k.a oils and fats). Most plants have at least two unrelated DGAT genes, DGAT1 and DGAT2. Plants predominantly express only one during oil synthesis; the reason, however is not clear. A few studies have indicated that each enzyme prefers DAG and acyl-CoA substrates with different fatty acid compositions. Industrially desirable seed oil composition can be obtained through genetic engineering by replacing the endogenous enzyme with one that has different substrate selectivity. In Arabidopsis thaliana, DGAT1 and another unrelated enzyme PDAT1 are essential …

1300 Years Of Snowpack Change For The Sangre De Cristo Mountian Range, Michael Thornton

Master's Theses

New Mexico is heavily dependent on hydrologic inputs along high elevation sites where much of the cool-season precipitation accumulates as snowpack in the lower Southern Rocky Mountains. Snowpack runoff from the Sangre de Cristo (SDC) range provides critical headwater resources for the two major rivers that run through New Mexico and by extension the greater population. Yet, over the past four decades snowpack data from high and mid-elevation sites exhibit a linear trend of declining snowpack in conjunction with earlier seasonal melting. Due to the importance of these cool-season inputs for the region, a decline in montane runoff availability is …

Improving Swarm Performance By Applying Machine Learning To A New Dynamic Survey, John Taylor Jackson

Master's Theses

A company, Unanimous AI, has created a software platform that allows individuals to come together as a group or a human swarm to make decisions. These human swarms amplify the decision-making capabilities of both the individuals and the group. One way Unanimous AI increases the swarm’s collective decision-making capabilities is by limiting the swarm to more informed individuals on the given topic. The previous way Unanimous AI selected users to enter the swarm was improved upon by a new methodology that is detailed in this study. This new methodology implements a new type of survey that collects data that is …

Protection Against Ungrounded Single Phase Open Circuit Faults In 3-Phase Distribution Transformers, Higinio Ariel Montoya

Master's Theses

This thesis explores the impacts and behavior of 3-phase distribution transformers when subject to ungrounded single phase open circuit faults. A simple 3-phase system is modeled using MATLAB Simulink and operation under fault conditions are simulated and studied. Simulation results are confirmed via lab experimentation. Finally, a robust detection and protection method using neutral current injection (as proposed in industry literature) is built and demonstrated.

Electric utility operating experience has demonstrated that all too often, loads on 3-phase distribution transformers are not adequately protected against an ungrounded single phase open circuit fault (commonly called “single phasing”). This type of fault …

Rotordynamic Analysis Of Theoretical Models And Experimental Systems, Cameron R. Naugle

Master's Theses

This thesis is intended to provide fundamental information for the construction and

analysis of rotordynamic theoretical models, and their comparison the experimental

systems. Finite Element Method (FEM) is used to construct models using Timoshenko

beam elements with viscous and hysteretic internal damping. Eigenvalues

and eigenvectors of state space equations are used to perform stability analysis, produce

critical speed maps, and visualize mode shapes. Frequency domain analysis

of theoretical models is used to provide Bode diagrams and in experimental data

full spectrum cascade plots. Experimental and theoretical model analyses are used

to optimize the control algorithm for an Active Magnetic Bearing …

Sysml Output Interface And System-Level Requirement Analyzer For The Horizon Simulation Framework, Viren Kishor Patel

Master's Theses

Model-Based Systems Engineering in industry has been constantly increasing its presence within the aerospace industry. SysML is one such MBSE tool that shows complex system organization and relationships. The Horizon Simulation Framework is another MBSE tool, created by Cal Poly students, that gives users the ability to run “day-in-the-life” simulations of systems. Finding a way to link these two tools could allow systems engineers to reap the benefits of both.

This thesis investigates the background and design process involved with developing the code that can convert an output file generated in SysML, into a format specifically made for the Horizon …

Detecting Speakers In Video Footage, Michael Williams

Master's Theses

Facial recognition is a powerful tool for identifying people visually. Yet, when the end goal is more specific than merely identifying the person in a picture problems can arise. Speaker identification is one such task which expects more predictive power out of a facial recognition system than can be provided on its own. Speaker identification is the task of identifying who is speaking in video not simply who is present in the video. This extra requirement introduces numerous false positives into the facial recognition system largely due to one main scenario. The person speaking is not on camera. This paper …

Modeling Adversarial Insider Vehicles In Mix Zones, Nicholas Plewtong

Master's Theses

Security is a necessity when dealing with new forms of technology that may not have been analyzed from a security perspective. One of the latest growing technological advances are Vehicular Ad-Hoc Networks (VANETs). VANETs allow vehicles to communicate information to each other wirelessly which allows for an increase in safety and efficiency for vehicles. However, with this new type of computerized system comes the need to maintain security on top of it.

In order to try to protect location privacy of the vehicles in the system, vehicles change pseudonyms or identifiers at areas known as mix zones. This thesis implements …

An Empirical Study Of Css Code Smells In Web Frameworks, Tobias Paul Bleisch

Master's Theses

Cascading Style Sheets (CSS) has become essential to front-end web development for the specification of style. But despite its simple syntax and the theoretical advantages attained through the separation of style from content and behavior, CSS authoring today is regarded as a complex task. As a result, developers are increasingly turning to CSS preprocessor languages and web frameworks to aid in development. However, previous studies show that even highly popular websites which are known to be developed with web frameworks contain CSS code smells such as duplicated rules and hard-coded values. Such code smells have the potential to cause adverse …

Enhancements To The Microbial Source Tracking Process Through The Utilization Of Clustering And K-Nearest Clusters Algorithm, Tram B. Lai

Master's Theses

Bacterial contamination in water sources is a serious health risk and the sources of the bacterial strains must be identified to keep people safe. This project is the result of a collaboration effort at Cal Poly to develop a new library-dependent Microbial Source Tracking method for determining sources of fecal contamination in the environment. The library used in this study is called Cal Poly Library of Pyroprints (CPLOP). The process of building CPLOP requires students to collect fecal samples from a multitude of sources in the San Luis Obispo area. A novel method developed by the biologists at Cal Poly …

Predicting The Vote Using Legislative Speech, Aditya Budhwar

Master's Theses

As most dedicated observers of voting bodies like the U.S. Supreme Court can attest, it is possible to guess vote outcomes based on statements made during deliberations or questioning by the voting members. In most forms of representative democracy, citizens can actively petition or lobby their representatives, and that often means understanding their intentions to vote for or against an issue of interest. In some U.S. state legislators, professional lobby groups and dedicated press members are highly informed and engaged, but the process is basically closed to ordinary citizens because they do not have enough background and familiarity with the …

Applying Neural Networks For Tire Pressure Monitoring Systems, Alex Kost

Master's Theses

A proof-of-concept indirect tire-pressure monitoring system is developed using neural net- works to identify the tire pressure of a vehicle tire. A quarter-car model was developed with Matlab and Simulink to generate simulated accelerometer output data. Simulation data are used to train and evaluate a recurrent neural network with long short-term memory blocks (RNN-LSTM) and a convolutional neural network (CNN) developed in Python with Tensorflow. Bayesian Optimization via SigOpt was used to optimize training and model parameters. The predictive accuracy and training speed of the two models with various parameters are compared. Finally, future work and improvements are discussed.

Manufacture Of Complex Geometry Component For Advanced Material Stiffness, David Russell Bydalek

Master's Theses

The manufacture, laminate design, and modeling of a part with complex geometry are explored. The ultimate goal of the research is to produce a model that accurately predicts part stiffness. This is validated with experimental results of composite parts, which refine material properties for use in a final prototype part model. The secondary goal of this project is to explore manufacturing methods for improved manufacturability of the complex part. The manufacturing portion of the thesis and feedback into material model has incorporated a senior project team to perform research on manufacturing and create composite part to be used for experimental …

Nanoscale Mapping Of In-Situ Micro Electro Mechanical Systems With Atomic Force Microscopy, Manuel Rivas

Master's Theses

Micro-electro-mechanical-systems (MEMS) are increasingly at our fingertips. To understand and thereby improve their performance, especially given their ever-decreasing sizes, it is crucial to measure their functionality in-situ. Atomic Force Microscopy (AFM) is well suited for such studies, allowing nanoscale lateral and vertical resolution of static displacements, as well as mapping of the dynamic response of these physically actuating microsystems. In this work, the vibration of a tuning fork based viscosity sensor is mapped and compared to model experiments in air, liquid, and a curing collagen gel. The switching response of a MEMS switch with nanosecond time-scale activation is also monitored …

An Overview Of Body Armor And Single Plate Impact Dynamics, Thomas Matzinger

Master's Theses

In the past, personal body armor was constructed of simple plates of high- strength alloys. However, with the advancement of modern combat and weaponry, particularly armor-piercing ammunition, personal body armor has evolved into more complex and effective metal, ceramic, and composite structures. This paper lays the groundwork for experimental and modeling methods used to understand the effectiveness of new armor designs. Focusing on the first layer of modern body armor, the ”High Impedance” layer. Experiments measuring the change in velocity of bullets passing through aluminum and titanium plates were conducted. These experiments were then replicated through FEA simulation.

Capturing Spatial Variation In The Precipitation-Runoff Modeling System, Timothy Bugden

Master's Theses

No abstract provided.

Pain And Academic Performance In Youth With Spina Bifida: The Mediating Role Of Neuropsychological Functioning, Diana Margaret Ohanian

Master's Theses

Objective: The current literature has identified few modifiable condition parameters associated with academic performance in youth with spina bifida (SB). Nevertheless, youth with SB are more likely to struggle academically than their typically developing (TD) peers. Therefore, identifying areas for clinical intervention is paramount. Pain, an understudied secondary condition in youth with SB, has been found to be associated with poorer academic performance in TD youth. Further, neuropsychological functioning has been found to be both negatively associated with pain and positively associated with academic outcomes. The aims of this study were to examine (1) the relationship between pain and academic …

You Just Gotta Be Able To Pick Something Outta Nothing: Black Students' Sensemaking On Racism In High School, Wallace Grace

Master's Theses

No Abstract

What's Wrong With Being Single: Lowered Relational Value Bias Toward Single People, Darian Farrell

Master's Theses

This study examined the perceived relational value of single individuals (compared to that of coupled individuals). I hypothesized that, participants would be more likely to make the conjunction fallacy in the single condition vs. the coupled condition, when asked whether or not it was more likely that the target person from the condition was a single teacher vs. teacher. The data supported my hypothesis: participants in the single condition were significantly more likely to make the conjunction fallacy than participants in the coupled condition. My study also tested whether or not the need to belong acted as a moderator for …

A Study Into The Feasibility Of Using Natural Language Processing And Machine Learning For The Identification Of Alcohol Misuse In Trauma Patients, Andrew Phillips

Master's Theses

Alcohol misuse is a leading cause of premature death in the United States, with nearly a third of trauma patients found to have elevated blood alcohol levels upon admission. However, timely intervention has been shown to reduce this. It is thus important to be able to quickly screen patients to identify alcohol misuse. Many medical centers use standardized questionnaires to identify alcohol misuse, but since these instruments are not usually a part of routine care, there are many cases where it is not done.

In this study, large quantities of notes were processed with natural language processing and machine learning …

Toddler Activity Recognition Using Machine Learning, Pinky Sindhu

Master's Theses

Pinky Sindhu

Loyola University Chicago

TODDLER ACTIVITY RECOGNITION USING MACHINE LEARNING

Toddlers behave differently than adults, to say the least. It is valuable to accurately measure the specific types of physical activity (PA) in toddlers; such information can be analyzed to predict future health prospects in relation to conditions like obesity.

We attached ActiGraph accelerometers to the wrist and waist of toddlers and recorded PAs. Toddlers were videotaped, and their movements were annotated as 20 specific activities. These activities were classified into 3 summary activity intensities including sedentary, light intensity PA (LPA), and moderate to vigorous intensity PA (MVPA).

Automated …