Digital Commons Network^™

Psychosocial Maturity And Alcohol Outcomes: The Mediating Role Of Alcohol Protective Behavioral Strategies, Skyler Hoover

Master's Theses

The present study evaluated the mediating role of alcohol protective behavioral strategies on the relationship between temperance, responsibility, perspective (i.e., the facets of psychosocial maturity) and alcohol use outcomes. Potential invariant paths among graduate and undergraduate students were also explored. All participants were undergraduate and graduate students at the University of Southern Mississippi aged 18 to 25. Participants reported demographic information and completed measures of temperance, responsibility, perspective, alcohol use, and alcohol consequences. Results indicated the full mediation model showed poor fit the data; greater temperance predicted greater alcohol protective behavioral strategy use, greater responsibility and perspective predicted less alcohol …

Spacecraft Trajectory Optimization Suite: Fly-Bys With Impulsive Thrust Engines (Stops-Flite), Aaron H. Li

Master's Theses

Spacecraft trajectory optimization is a near-infinite problem space with a wide variety of models and optimizers. As trajectory complexity increases, so too must the capabilities of modern optimizers. Common objective cost functions for these optimizers include the propellant utilized by the spacecraft and the time the spacecraft spends in flight. One effective method of minimizing these costs is the utilization of one or multiple gravity assists. Due to the phenomenon known as the Oberth effect, fuel burned at a high velocity results in a larger change in orbital energy than fuel burned at a low velocity. Since a spacecraft is …

Design Justice In Community-Oriented Engineering Pedagogy And Practice, Michael S. Reyna

Master's Theses

While engineering service-learning projects are seen as a favorable way for students to reinforce curricular learning while gaining cultural awareness, the outcomes of these projects center student benefits over partner community wellbeing. For these projects, and in other engineering contexts, various scholar-activists have conceptualized numerous principles and methods to center justice and equity in engineering outcomes. This research project and its associated intervention involved collecting scholarship and methods in engineering and social justice, and attempted to integrate these ideas into the practices of a local humanitarian service-learning engineering team. The collected scholarship centered around the topics of Design Justice, feminist …

A Nano-Drone Safety Architecture, Connor J. Sexton

Master's Theses

As small-form factor drones grow more intelligent, they increasingly require more sophisticated capabilities to record sensor data and system state, ensuring safe and improved operation. Already regulations for black boxes, electronic data recorders (EDRs), for determining liabilities and improving the safety of large-form factor autonomous vehicles are becoming established. Conventional techniques use hardened memory storage units that conserve all sensor (visual) and system operational state; and N-way redundant models for detecting uncertainty in system operation. For small-form factor drones, which are highly limited by weight, power, and computational resources, these techniques become increasingly prohibitive. In this paper, we propose a …

Ofdm Channel Estimation With Artificial Neural Networks, Joseph W. Bednar

Master's Theses

The use of orthogonal frequency-division multiplexing (OFDM) by wireless standards is often preferred due to its high spectral efficiency and ease of implementation. However, data transmission via OFDM still suffers when passing through a noisy channel. In order to maximize the abilities of OFDM, channel effects must be corrected. Unfortunately, channel estimation is often difficult due to the nonlinearity and randomness present in a practical communication channel.

Recently, machine learning based approaches have been used to improve existing channel estimation algorithms for a more efficient transmission. This thesis investigates the application of artificial neural networks (ANNs) as a means of …

Design And Analysis Of N-Path Filter For Radio Frequencies, Nathan M. Bergen

Master's Theses

Due to the growth of wireless communication many communication frequencies have grown increasingly dense. This density requires higher Q-factor to receive only the signal of interest. With the rise of smaller integrated circuits previous solutions used for filtering have become viable again. This paper explores whether the N-path filter is viable in the modern day for radio frequency receiver purposes. A non-differential N-path filter was created by utilizing Cadence Virtuoso with a working center frequency range of 750MHz to 1GHz while using TSMC technology. The desired quality factor of over 1,000 was reached while maintaining a total area of 800 …

Legislative Language For Success, Sanjana Gundala

Master's Theses

Legislative committee meetings are an integral part of the lawmaking process for local and state bills. The testimony presented during these meetings is a large factor in the outcome of the proposed bill. This research uses Natural Language Processing and Machine Learning techniques to analyze testimonies from California Legislative committee meetings from 2015-2016 in order to identify what aspects of a testimony makes it successful. A testimony is considered successful if the alignment of the testimony matches the bill outcome (alignment is "For" and the bill passes or alignment is "Against" and the bill fails). The process of finding what …

Construction Industry Hesitation In Accepting Wearable Sensing Devices To Enhance Worker, Harrison M. Fugate

Master's Theses

The construction industry is one of the most unsafe industries for workers in the United States. Advancements in wearable technology have been proven to create a safer construction environment. Despite the availability of these devices, use within the construction industry remains low. The objective of this research is to identify and analyze the causes behind the reluctance of the construction industry to implement two specific wearable safety devices, a biometric sensor, and a location tracking system. Device acceptance was analyzed from the perspective of the user (construction field labor) and company decision makers (construction managers). A modified unified theory of …

The Impact Of High-Anthocyanin Berry Supplementation On Cardiometabolic Markers In Humans: A Systematic Review Meta-Analysis Of Randomized Control Trials, Mia M. Abram

Master's Theses

Relevance: Heart disease is the leading cause of death worldwide. Observational and experimental evidence has shown that fruits high in polyphenols can reduce morbidity and mortality of heart disease. Introduction: This systematic review meta-analysis was conducted to evaluate the current evidence for anthocyanin-rich fruit supplementation amelioration of hypertension. Methods: Articles were identified, collected, screened, then data were analyzed via CMAv.2 for overall effect on blood pressure, nitric oxide, flow mediated dilation and pulse wave velocity. Results: The analysis showed a small, significant effect on diastolic blood pressure. No moderator groups had significant effects, though some individual subcategories showed significant effects. …

Current-Source Dc-Dc Converter For Fiber-Optic Communication Systems, Jissell C. Jose

Master's Theses

In this thesis, a proof of concept for a current-source DC-DC converter for powering sensors used in an underwater communications system is presented. The proposed converter steps down an input current of 0.9 A to 0.625 A, while maintaining an output voltage of 24 V and output power of 15 W. The complete steady-state analysis and design of the proposed converter in its single-stage form is also explained in detail. Performance evaluation of the proposed converter was carried out using LTspice. Results of the simulation demonstrate that the design was able to produce average output current of 0.639 A at …

X-Band Rf Transmitter Design For Multi-Purpose Small Satellite Communication Operations, Omer F. Gumus

Master's Theses

This thesis provides a description of the analysis, design, and tests of an X-band RF Transmitter communication system for small satellites. X-band transmitter systems are becoming popular in the upcoming deep space missions. Most of the deep-space ground stations have been using X-band frequencies to receive or transmit signals. The X-band (<10 GHz) can offer lower atmospheric losses and up to a couple of Mbps data rates for multiple satellite operations. Nowadays, many small satellites have been using frequency bands such as VHF, UHF, L, and S-band frequencies for communication. From deep space to the ground station, the low-frequency ranges are inadequate in providing Mbps level data rates and enough bandwidth for deep space missions.

The main focus of this thesis was the development of the subsystems such as gain block amplifier, Mixer, Bandpass Filter, and RF power amplifier. The subsystems were designed separately, then they were connected together to perform an end-to-end system test. One of the thesis aims is to design …

Strainer: State Transcript Rating For Informed News Entity Retrieval, Thomas M. Gerrity

Master's Theses

Over the past two decades there has been a rapid decline in public oversight of state and local governments. From 2003 to 2014, the number of journalists assigned to cover the proceedings in state houses has declined by more than 30\%. During the same time period, non-profit projects such as Digital Democracy sought to collect and store legislative bill and hearing information on behalf of the public. More recently, AI4Reporters, an offshoot of Digital Democracy, seeks to actively summarize interesting legislative data.

This thesis presents STRAINER, a parallel project with AI4Reporters, as an active data retrieval and filtering system for …

Dynamical Systems And Matching Symmetry In Beta-Expansions, Karl Zieber

Master's Theses

Symbolic dynamics, and in particular β-expansions, are a ubiquitous tool in studying more complicated dynamical systems. Applications include number theory, fractals, information theory, and data storage.

In this thesis we will explore the basics of dynamical systems with a special focus on topological dynamics. We then examine symbolic dynamics and β-transformations through the lens of sequence spaces. We discuss observations from recent literature about how matching (the property that the itinerary of 0 and 1 coincide after some number of iterations) is linked to when T_β,⍺ generates a subshift of finite type. We prove the set of ⍺ in …

Method And Simulation Of On-Orbit Sub-Microthrust Evaluation, Jonathan Hood

Master's Theses

With the advent of smaller satellites, along with the need for less than 0.1 μN precision attitude control for interferometry and imaging missions, finer micro- to sub-micro- thrusters have become an area of high interest. As thrusters are developed and ground-tested, it is necessary to evaluate their thrust performance on-orbit. On-orbit measurements offer actual thrust performance in mission conditions, free from ground facility vibrations and miniaturization restraints, and allow a thruster system to achieve a NASA Technology Readiness Level (TRL) of 7-8. A review is conducted of existing and proposed ground and on-orbit thrust measurement techniques. Experimental gaps and complementary …

A Network Analysis Of Covid-19 In The United States, Joseph C. Mcguire

Master's Theses

Through methods in network theory and time-series analysis, we will analyze the spread of COVID-19 in the United States by determining trends in state-by-state daily cases through a network construction. Previous researchers have found frameworks for approximating the spread of the COVID-19 pandemic and identifying potential rises in cases by a network construction based on correlation of cases between regions [1]. Applying this network construction we determine how this network and its structure act as a predictor for overall COVID-19 cases in the United States by preforming a trend analysis on a variety of network statistics and US COVID-19 cases.

Specialized Named Entity Recognition For Breast Cancer Subtyping, Griffith Scheyer Hawblitzel

Master's Theses

The amount of data and analysis being published and archived in the biomedical research community is more than can feasibly be sifted through manually, which limits the information an individual or small group can synthesize and integrate into their own research. This presents an opportunity for using automated methods, including Natural Language Processing (NLP), to extract important information from text on various topics. Named Entity Recognition (NER), is one way to automate knowledge extraction of raw text. NER is defined as the task of identifying named entities from text using labels such as people, dates, locations, diseases, and proteins. There …

Development Of A Dual-Band Radio Repeater To Be Carried By A Fixed-Wing Small Unmanned Aerial System, Carl Recine

Master's Theses

With the continued rise in wildfires in California, and around the world, technological advancements are needed to improve the safety and effectiveness of wildland firefighters. One area that provides an opportunity for such development is the deployment of temporary communications networks. Currently, radio repeaters are set up on mountain tops in the response area; such repeaters do not provide flexibility once installed, still have blind spots, and require the time of valuable assets like helicopters to install.

This thesis will establish the feasibility of airborne radio repeaters for wildland firefighting. In order to successfully demonstrate the feasibility of such an …

Increasing The Effectiveness Of K-12 Stem Worshops Through Targeted Context And Creative Technolgies, Melina Lopez

Master's Theses

Economic projections reveal a need for one million more Science, Technology, Engineering, and Math (STEM) professionals over the next decade than the United States is producing at the current rate. As a result, STEM education is a major focus of recent legislation and funding in Congress as the number of STEM professionals is inadequate to support innovation and the ever-changing economy. In response to the urgent need for more competitive STEM professionals, there has been a widespread implementation of workshops, organizations, and school programs aimed at amplifying K-12 student STEM literacy and interest. Some programs are even created to specifically …

A Course On Advanced Real-Time Embedded Systems, Krista Round

Master's Theses

This thesis discusses the development of an advanced real-time embedded systems course offered at California Polytechnic State University, San Luis Obispo, which aims to prepare students to design modern complex real-time embedded systems. It describes the goals of the real-time embedded systems curriculum, which includes an introductory and advanced course. Finally, this paper discusses the challenges of creating a successful advanced real-time embedded systems course and proposes changes to the current advanced real-time embedded systems course in response to those challenges.

Design Of An Automotive Iot Device To Improve Driver Fault Detection Through Road Class Estimation, Matt Murray

Master's Theses

Unsafe driver habits pose a serious threat to all vehicles on the road. This thesis outlines the development of an automotive IoT device capable of monitoring and reporting adverse driver habits to mitigate the occurrence of unsafe practices. The driver habits targeted are harsh braking, harsh acceleration, harsh cornering, speeding and over revving the vehicle. With the intention of evaluating and expanding upon the industry method of fault detection, a working prototype is designed to handle initialization, data collection, vehicle state tracking, fault detection and communication. A method of decoding the broadcasted messages on the vehicle bus is presented and …

Bearing Fault Detection And Classification Using Artificial Neural Networks, Harnak Singh

Master's Theses

Bearings are the essential components of modern rotating machines. Bearing faults can cause severe machine damages or even breakdowns.

In recent years, artificial intelligence and deep learning have been successfully applied to fault detection. In this thesis, convolutional neural networks (CNN) are employed for bearing fault detection and classification. Computer simulations results demonstrate that the CNN based approach is advantageous over the conventional regression model, with an overall accuracy of 99.5%.

Microgrid Laboratory Wind Energy Integration, Vincent Liang

Master's Theses

Cal Poly San Luis Obispo’s Electrical Engineering Department and the Power Energy Institute have developed a microgrid laboratory with various generators, loads, and protection systems over the past several years. To improve and make the Cal Poly microgrid laboratory more realistic, this thesis outlines the process of improving the EE microgrid setup by adding a wind energy generation system via an induction generator, excitation capacitors, and a protection relay. By adding an induction generator, the microgrid system becomes more resilient to sudden power fluctuations by maintaining a stable voltage and frequency when the microgrid is islanded. To test this, a …

Low-Cost Uav Swarm For Real-Time Object Detection Applications, Joel Valdovinos Miranda

Master's Theses

With unmanned aerial vehicles (UAVs), also known as drones, becoming readily available and affordable, applications for these devices have grown immensely. One type of application is the use of drones to fly over large areas and detect desired entities. For example, a swarm of drones could detect marine creatures near the surface of the ocean and provide users the location and type of animal found. However, even with the reduction in cost of drone technology, such applications result costly due to the use of custom hardware with built-in advanced capabilities. Therefore, the focus of this thesis is to compile an …

Aac And Multilingualism In Children With Complex Communication Needs: Perspectives Of Filipino Parents And Teaching Professionals, Anne Aubrey V. Dulay

Master's Theses

Parents and teaching professionals of children who use augmentative and/or alternative communication (AAC) systems within multilingual environments often face complicated decisions regarding their language choices and practices. Understanding parents’ and teaching professionals’ perceptions on this topic can assist AAC service providers in supporting them better during intervention. This study aimed to explore the perceptions of Filipino parents and teaching professionals regarding AAC and multilingualism. Specifically, this study sought to describe parents’ and teaching professionals’ language choices and practices when interacting with the AAC communicator and to describe the factors that influence their language choices and practices. This study followed a …

The Influence Of Happiness On The Perception Of Ingroup And Outgroup Stereotypes, Diego R. Gómez

Master's Theses

An important social issue that influences judgments between ingroups and outgroups is how moods influence stereotype judgments. For instance, research on moods has provided evidence that happiness increases stereotype judgments. However, research has not considered the impact of individuals’ ingroup membership and how it may moderate these effects. The purpose of this study was to explore the potential moderating role that ingroup membership may have on the effects of happiness on stereotype judgments. University student participants in a happy or neutral induced mood completed a disciplinary task to assess guilt of either a Hispanic or non-Hispanic suspect of an assault …

Exploring Shared Book Reading Among Mexican And Dominican Parent-Child Dyads, Maria Flores Lopez

Master's Theses

Using an ethnically diverse sample of Mexican and Dominican families from the NewYork metro area, the present study investigated the behaviors of parents and their three-yearold children, during shared book reading (SBR). The aspect of child behavior that was investigated was engagement, which was assessed by observations of children’s attentiveness and verbal participation during the reading activity. Children within this sample were highly engaged, with most demonstrating active engagement, the highest level of engagement in this study. When looking at the behaviors of parents, the use of two sets of strategies were investigated: interactive book reading strategies and language use. …

Fragmentation Drives Dominant Plant Encroachment On A Horizontal Wastewater Treatment Levee, Joia S. Fishman

Master's Theses

Urban coastal wetlands protect humans from sea-level rise while providing valuable habitat for wildlife. Degradation and loss of these wetlands threaten urban infrastructure such as wastewater treatment facilities. Nature-based adaptive solutions with the combined purposes of bioremediation, coastal defense, and habitat creation are being tested to make communities safer and more resilient. The current research examines a 6-year-old experimental horizontal levee at the Oro Loma Sanitary District in San Lorenzo, California. Using horizontal transects and quadrat sampling, I compare the success of two planting strategies – a wet meadow and a riparian scrub community – on an ecotone slope. I …

Achieving Location Privacy In Ios Platform Using Location Privacy Framework, Anna Systaliuk

Master's Theses

Rising popularity of location-services mobile applications and geotagging digitalactivities resulted in astonishing amount of mobility data collected from user devices, raising privacy concerns regarding the way this data is extracted and handled. Despite numerous studies concluded that human location trace is highly unique and poses great re-identification risks, modern mobile operating systems fell short of implementing granular location access mechanism. Existing binary location access resulted into location-based-services being able to retrieve precise user’s coordinates regardless of how much details their functionality actually require and sell it to data brokers. This paper aims to provide practical solution how a mobile operating …

Smartrec - A Smart Conversational Recommendation System Using Semantic Knowledge Graphs, Sudha Vijayakumar

Master's Theses

CRS strives to return the most relevant recommendations to users through a multi-turn interactive conversation. The Covid-19 pandemic has undoubtedly accelerated the pace of adoption of conversational AI systems by many online platforms needing to provide highly available customer support. This ongoing demand calls for the need to implement more generic and efficient conversational agents and recommendation engines that can provide customers with the required information at every stage of the user’s interaction with the e-commerce platform. This study presents a Smart Conversational AI-based recommendation system - SMARTREC, which enables a multi-turn conversation with the user to understand the context …

Formal And Informal Styles Of Clothing In The Assessment Of Female Political Candidates, Erma Kurtovic

Master's Theses

Abstract: This study will research the importance of dress code of female candidates on the confidence in leadership.The research question is: How Important is the Formality of Dress Code in the Assessment of Leadership of Female Political Candidates? It is addressed by using an experimental design carried out in India and the United States, using Qualtrics and Amazon Mechanical Turk. This research gathered 400 responses, 200 from each country. Primary data collection was used, with the implementation of two experiments. The experimental design of the two experiments consisted of two conditions, one in which the main political candidate is dressed …